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Azure OpenAI in Azure AI Foundry Models v1 REST API reference

Only a subset of operations are currently supported with the v1 API. To learn more, see the API version lifecycle guide.

Create chat completion

POST {endpoint}/openai/v1/chat/completions

Creates a chat completion.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
audio object Parameters for audio output. Required when audio output is requested with
modalities: ["audio"].		 No
└─ format enum Specifies the output audio format. Must be one of wav, mp3, flac,
opus, or pcm16.
Possible values: wav, aac, mp3, flac, opus, pcm16		 No
└─ voice object No
data_sources array The data sources to use for the On Your Data feature, exclusive to Azure OpenAI. No
frequency_penalty number Number between -2.0 and 2.0. Positive values penalize new tokens based on
their existing frequency in the text so far, decreasing the model's
likelihood to repeat the same line verbatim.		 No 0
function_call enum Specifying a particular function via {"name": "my_function"} forces the model to call that function.
Possible values: none, auto		 No
functions array Deprecated in favor of tools.

A list of functions the model may generate JSON inputs for.		 No
logit_bias object Modify the likelihood of specified tokens appearing in the completion.

Accepts a JSON object that maps tokens (specified by their token ID in the
tokenizer) to an associated bias value from -100 to 100. Mathematically,
the bias is added to the logits generated by the model prior to sampling.
The exact effect will vary per model, but values between -1 and 1 should
decrease or increase likelihood of selection; values like -100 or 100
should result in a ban or exclusive selection of the relevant token.		 No None
logprobs boolean Whether to return log probabilities of the output tokens or not. If true,
returns the log probabilities of each output token returned in the
content of message.		 No False
max_completion_tokens integer An upper bound for the number of tokens that can be generated for a
completion, including visible output tokens and reasoning tokens.		 No
max_tokens integer The maximum number of tokens that can be generated in the chat completion.
This value can be used to control costs for text generated via API.

This value is now deprecated in favor of max_completion_tokens, and is
not compatible with o1 series models.		 No
messages array A list of messages comprising the conversation so far. Depending on the
model you use, different message types (modalities) are supported,
like text, images, and audio.		 Yes
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
modalities object Output types that you would like the model to generate.
Most models are capable of generating text, which is the default:

["text"]

The gpt-4o-audio-preview model can also be used to generate audio. To request that this model generate
both text and audio responses, you can use:

["text", "audio"]		 No
model string The model deployment identifier to use for the chat completion request. Yes
n integer How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep n as 1 to minimize costs. No 1
parallel_tool_calls object Whether to enable parallel function calling during tool use. No
prediction object Base representation of predicted output from a model. No
└─ type OpenAI.ChatOutputPredictionType No
presence_penalty number Number between -2.0 and 2.0. Positive values penalize new tokens based on
whether they appear in the text so far, increasing the model's likelihood
to talk about new topics.		 No 0
reasoning_effort object reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
response_format object No
└─ type enum
Possible values: text, json_object, json_schema		 No
seed integer This feature is in Beta.
If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.
Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.		 No
stop object Not supported with latest reasoning models o3 and o4-mini.

Up to 4 sequences where the API will stop generating further tokens. The
returned text will not contain the stop sequence.		 No
store boolean Whether or not to store the output of this chat completion request for
use in model distillation or evals products.		 No False
stream boolean If set to true, the model response data will be streamed to the client
as it is generated using server-sent events.		 No False
stream_options object Options for streaming response. Only set this when you set stream: true. No
└─ include_usage boolean If set, an additional chunk will be streamed before the data: [DONE]
message. The usage field on this chunk shows the token usage statistics
for the entire request, and the choices field will always be an empty
array.

All other chunks will also include a usage field, but with a null
value. NOTE: If the stream is interrupted, you may not receive the
final usage chunk which contains the total token usage for the request.		 No
temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No 1
tool_choice OpenAI.ChatCompletionToolChoiceOption Controls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or more tools.
required means the model must call one or more tools.
Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.

none is the default when no tools are present. auto is the default if tools are present.		 No
tools array A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported. No
top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No 1
user string A unique identifier representing your end-user, which can help to
monitor and detect abuse.		 No
user_security_context AzureUserSecurityContext User security context contains several parameters that describe the application itself, and the end user that interacts with the application. These fields assist your security operations teams to investigate and mitigate security incidents by providing a comprehensive approach to protecting your AI applications. Learn more about protecting AI applications using Microsoft Defender for Cloud. No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json AzureCreateChatCompletionResponse
text/event-stream AzureCreateChatCompletionStreamResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Examples

Example

Creates a completion for the provided prompt, parameters and chosen model.

POST {endpoint}/openai/v1/chat/completions

{
 "model": "gpt-4o-mini",
 "messages": [
  {
   "role": "system",
   "content": "you are a helpful assistant that talks like a pirate"
  },
  {
   "role": "user",
   "content": "can you tell me how to care for a parrot?"
  }
 ]
}

Responses: Status Code: 200

{
  "body": {
    "id": "chatcmpl-7R1nGnsXO8n4oi9UPz2f3UHdgAYMn",
    "created": 1686676106,
    "choices": [
      {
        "index": 0,
        "finish_reason": "stop",
        "message": {
          "role": "assistant",
          "content": "Ahoy matey! So ye be wantin' to care for a fine squawkin' parrot, eh?..."
        }
      }
    ],
    "usage": {
      "completion_tokens": 557,
      "prompt_tokens": 33,
      "total_tokens": 590
    }
  }
}

Create embedding

POST {endpoint}/openai/v1/embeddings

Creates an embedding vector representing the input text.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
dimensions integer The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models. No
encoding_format enum The format to return the embeddings in. Can be either float or base64.
Possible values: float, base64		 No
input string or array Yes
model string The model to use for the embedding request. Yes
user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.CreateEmbeddingResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Examples

Example

Return the embeddings for a given prompt.

POST {endpoint}/openai/v1/embeddings

{
 "model": "text-embedding-ada-002",
 "input": [
  "this is a test"
 ]
}

Responses: Status Code: 200

{
  "body": {
    "data": [
      {
        "index": 0,
        "embedding": [
          -0.012838088,
          -0.007421397,
          -0.017617522,
          -0.028278312,
          -0.018666342,
          0.01737855,
          -0.01821495,
          -0.006950092,
          -0.009937238,
          -0.038580645,
          0.010674067,
          0.02412286,
          -0.013647936,
          0.013189907,
          0.0021125758,
          0.012406612,
          0.020790534,
          0.00074595667,
          0.008397198,
          -0.00535031,
          0.008968075,
          0.014351576,
          -0.014086051,
          0.015055214,
          -0.022211088,
          -0.025198232,
          0.0065186154,
          -0.036350243,
          0.009180495,
          -0.009698266,
          0.009446018,
          -0.008463579,
          -0.0040426035,
          -0.03443847,
          -0.00091273896,
          -0.0019217303,
          0.002349888,
          -0.021560553,
          0.016515596,
          -0.015572986,
          0.0038666942,
          -8.432463e-05,
          0.0032178196,
          -0.020365695,
          -0.009631885,
          -0.007647093,
          0.0033837722,
          -0.026764825,
          -0.010501476,
          0.020219658,
          0.024640633,
          -0.0066912062,
          -0.036456455,
          -0.0040923897,
          -0.013966565,
          0.017816665,
          0.005366905,
          0.022835068,
          0.0103488,
          -0.0010811808,
          -0.028942121,
          0.0074280356,
          -0.017033368,
          0.0074877786,
          0.021640211,
          0.002499245,
          0.013316032,
          0.0021524043,
          0.010129742,
          0.0054731146,
          0.03143805,
          0.014856071,
          0.0023366117,
          -0.0008243692,
          0.022781964,
          0.003038591,
          -0.017617522,
          0.0013309394,
          0.0022154662,
          0.00097414135,
          0.012041516,
          -0.027906578,
          -0.023817508,
          0.013302756,
          -0.003003741,
          -0.006890349,
          0.0016744611
        ]
      }
    ],
    "usage": {
      "prompt_tokens": 4,
      "total_tokens": 4
    }
  }
}

List evals

GET {endpoint}/openai/v1/evals

List evaluations for a project.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
after query No string Identifier for the last eval from the previous pagination request.
limit query No integer A limit on the number of evals to be returned in a single pagination response.
order query No string
Possible values: asc, desc		 Sort order for evals by timestamp. Use asc for ascending order or
desc for descending order.
order_by query No string
Possible values: created_at, updated_at		 Evals can be ordered by creation time or last updated time. Use
created_at for creation time or updated_at for last updated
time.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.EvalList

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Create eval

POST {endpoint}/openai/v1/evals

Create the structure of an evaluation that can be used to test a model's performance.

An evaluation is a set of testing criteria and a datasource. After creating an evaluation, you can run it on different models and model parameters. We support several types of graders and datasources.

For more information, see the Evals guide.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
data_source_config object Yes
└─ type OpenAI.EvalDataSourceConfigType No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string The name of the evaluation. No
statusCode enum
Possible values: 201		 Yes
testing_criteria array A list of graders for all eval runs in this group. Graders can reference variables in the data source using double curly braces notation, like {{item.variable_name}}. To reference the model's output, use the sample namespace (ie, {{sample.output_text}}). Yes

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.Eval

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Get eval

GET {endpoint}/openai/v1/evals/{eval_id}

Retrieve an evaluation by its ID. Retrieves an evaluation by its ID.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.Eval

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Update eval

POST {endpoint}/openai/v1/evals/{eval_id}

Update select, mutable properties of a specified evaluation.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
metadata OpenAI.MetadataPropertyForRequest Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.Eval

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Delete eval

DELETE {endpoint}/openai/v1/evals/{eval_id}

Delete a specified evaluation.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json object

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Get eval runs

GET {endpoint}/openai/v1/evals/{eval_id}/runs

Retrieve a list of runs for a specified evaluation.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string
after query No string
limit query No integer
order query No string
Possible values: asc, desc
status query No string
Possible values: queued, in_progress, completed, canceled, failed

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.EvalRunList

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Create eval run

POST {endpoint}/openai/v1/evals/{eval_id}/runs

Create a new evaluation run, beginning the grading process.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
data_source object Yes
└─ type OpenAI.EvalRunDataSourceType No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string The name of the run. No

Responses

Status Code: 201

Description: The request has succeeded and a new resource has been created as a result.

Content-Type Type Description
application/json OpenAI.EvalRun

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Get eval run

GET {endpoint}/openai/v1/evals/{eval_id}/runs/{run_id}

Retrieve a specific evaluation run by its ID.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string
run_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.EvalRun

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Cancel eval run

POST {endpoint}/openai/v1/evals/{eval_id}/runs/{run_id}

Cancel a specific evaluation run by its ID.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string
run_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.EvalRun

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Delete eval run

DELETE {endpoint}/openai/v1/evals/{eval_id}/runs/{run_id}

Delete a specific evaluation run by its ID.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string
run_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json object

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Get eval run output items

GET {endpoint}/openai/v1/evals/{eval_id}/runs/{run_id}/output_items

Get a list of output items for a specified evaluation run.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string
run_id path Yes string
after query No string
limit query No integer
status query No string
Possible values: fail, pass
order query No string
Possible values: asc, desc

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.EvalRunOutputItemList

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Get eval run output item

GET {endpoint}/openai/v1/evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}

Retrieve a specific output item from an evaluation run by its ID.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-evals header Yes string
Possible values: preview		 Enables access to AOAI Evals, a preview feature.
This feature requires the 'aoai-evals' header to be set to 'preview'.
eval_id path Yes string
run_id path Yes string
output_item_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.EvalRunOutputItem

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Create file

POST {endpoint}/openai/v1/files

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: multipart/form-data

Name Type Description Required Default
expires_after object Yes
└─ anchor AzureFileExpiryAnchor No
└─ seconds integer No
file string Yes
purpose enum The intended purpose of the uploaded file. One of: - assistants: Used in the Assistants API - batch: Used in the Batch API - fine-tune: Used for fine-tuning - evals: Used for eval data sets
Possible values: assistants, batch, fine-tune, evals		 Yes

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json AzureOpenAIFile

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Examples

Example

POST {endpoint}/openai/v1/files

List files

GET {endpoint}/openai/v1/files

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
purpose query No string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json AzureListFilesResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Retrieve file

GET {endpoint}/openai/v1/files/{file_id}

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
file_id path Yes string The ID of the file to use for this request.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json AzureOpenAIFile

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Delete file

DELETE {endpoint}/openai/v1/files/{file_id}

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
file_id path Yes string The ID of the file to use for this request.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.DeleteFileResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Download file

GET {endpoint}/openai/v1/files/{file_id}/content

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
file_id path Yes string The ID of the file to use for this request.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/octet-stream string

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Run grader

POST {endpoint}/openai/v1/fine_tuning/alpha/graders/run

Run a grader.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
grader object A StringCheckGrader object that performs a string comparison between input and reference using a specified operation. Yes
└─ calculate_output string A formula to calculate the output based on grader results. No
└─ evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 No
└─ graders object No
└─ image_tag string The image tag to use for the python script. No
└─ input array The input text. This may include template strings. No
└─ model string The model to use for the evaluation. No
└─ name string The name of the grader. No
└─ operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 No
└─ range array The range of the score. Defaults to [0, 1]. No
└─ reference string The text being graded against. No
└─ sampling_params The sampling parameters for the model. No
└─ source string The source code of the python script. No
└─ type enum The object type, which is always multi.
Possible values: multi		 No
item The dataset item provided to the grader. This will be used to populate
the item namespace. See the guide for more details.		 No
model_sample string The model sample to be evaluated. This value will be used to populate
the sample namespace. See the guide for more details.
The output_json variable will be populated if the model sample is a
valid JSON string.		 Yes

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.RunGraderResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Validate grader

POST {endpoint}/openai/v1/fine_tuning/alpha/graders/validate

Validate a grader.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
grader object A StringCheckGrader object that performs a string comparison between input and reference using a specified operation. Yes
└─ calculate_output string A formula to calculate the output based on grader results. No
└─ evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 No
└─ graders object No
└─ image_tag string The image tag to use for the python script. No
└─ input array The input text. This may include template strings. No
└─ model string The model to use for the evaluation. No
└─ name string The name of the grader. No
└─ operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 No
└─ range array The range of the score. Defaults to [0, 1]. No
└─ reference string The text being graded against. No
└─ sampling_params The sampling parameters for the model. No
└─ source string The source code of the python script. No
└─ type enum The object type, which is always multi.
Possible values: multi		 No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ValidateGraderResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Create fine-tuning job

POST {endpoint}/openai/v1/fine_tuning/jobs

Creates a fine-tuning job which begins the process of creating a new model from a given dataset.

Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.

Learn more about fine-tuning

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
hyperparameters object The hyperparameters used for the fine-tuning job.
This value is now deprecated in favor of method, and should be passed in under the method parameter.		 No
└─ batch_size enum
Possible values: auto		 No
└─ learning_rate_multiplier enum
Possible values: auto		 No
└─ n_epochs enum
Possible values: auto		 No
integrations array A list of integrations to enable for your fine-tuning job. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
method OpenAI.FineTuneMethod The method used for fine-tuning. No
model string (see valid models below) The name of the model to fine-tune. You can select one of the
supported models.		 Yes
seed integer The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases.
If a seed is not specified, one will be generated for you.		 No
suffix string A string of up to 64 characters that will be added to your fine-tuned model name.

For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-4o-mini:openai:custom-model-name:7p4lURel.		 No None
training_file string The ID of an uploaded file that contains training data.

See upload file for how to upload a file.

Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune.

The contents of the file should differ depending on if the model uses the chat, or if the fine-tuning method uses the preference format.

See the fine-tuning guide for more details.		 Yes
validation_file string The ID of an uploaded file that contains validation data.

If you provide this file, the data is used to generate validation
metrics periodically during fine-tuning. These metrics can be viewed in
the fine-tuning results file.
The same data should not be present in both train and validation files.

Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune.

See the fine-tuning guide for more details.		 No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.FineTuningJob

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List paginated fine-tuning jobs

GET {endpoint}/openai/v1/fine_tuning/jobs

List your organization's fine-tuning jobs

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
after query No string Identifier for the last job from the previous pagination request.
limit query No integer Number of fine-tuning jobs to retrieve.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ListPaginatedFineTuningJobsResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Retrieve fine-tuning job

GET {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}

Get info about a fine-tuning job.

Learn more about fine-tuning

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
fine_tuning_job_id path Yes string The ID of the fine-tuning job.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.FineTuningJob

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Cancel fine-tuning job

POST {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/cancel

Immediately cancel a fine-tune job.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
fine_tuning_job_id path Yes string The ID of the fine-tuning job to cancel.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.FineTuningJob

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List fine-tuning job checkpoints

GET {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints

List the checkpoints for a fine-tuning job.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
fine_tuning_job_id path Yes string The ID of the fine-tuning job to get checkpoints for.
after query No string Identifier for the last checkpoint ID from the previous pagination request.
limit query No integer Number of checkpoints to retrieve.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ListFineTuningJobCheckpointsResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Fine-tuning - Copy checkpoint

POST {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints/{fine_tuning_checkpoint_name}/copy

Creates a copy of a fine-tuning checkpoint at the given destination account and region.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-copy-ft-checkpoints header Yes string
Possible values: preview		 Enables access to checkpoint copy operations for models, an AOAI preview feature.
This feature requires the 'aoai-copy-ft-checkpoints' header to be set to 'preview'.
accept header Yes string
Possible values: application/json
fine_tuning_job_id path Yes string
fine_tuning_checkpoint_name path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
destinationResourceId string The ID of the destination Resource to copy. Yes
region string The region to copy the model to. Yes

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json CopyModelResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Fine-tuning - Get checkpoint

GET {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints/{fine_tuning_checkpoint_name}/copy

Gets the status of a fine-tuning checkpoint copy.

Note

This Azure OpenAI operation is in preview and subject to change.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
aoai-copy-ft-checkpoints header Yes string
Possible values: preview		 Enables access to checkpoint copy operations for models, an AOAI preview feature.
This feature requires the 'aoai-copy-ft-checkpoints' header to be set to 'preview'.
accept header Yes string
Possible values: application/json
fine_tuning_job_id path Yes string
fine_tuning_checkpoint_name path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json CopyModelResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List fine-tuning events

GET {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/events

Get status updates for a fine-tuning job.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
fine_tuning_job_id path Yes string The ID of the fine-tuning job to get events for.
after query No string Identifier for the last event from the previous pagination request.
limit query No integer Number of events to retrieve.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ListFineTuningJobEventsResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Pause fine-tuning job

POST {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/pause

Pause a fine-tune job.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
fine_tuning_job_id path Yes string The ID of the fine-tuning job to pause.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.FineTuningJob

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Resume fine-tuning job

POST {endpoint}/openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/resume

Resume a paused fine-tune job.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
fine_tuning_job_id path Yes string The ID of the fine-tuning job to resume.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.FineTuningJob

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List models

GET {endpoint}/openai/v1/models

Lists the currently available models, and provides basic information about each one such as the owner and availability.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ListModelsResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Retrieve model

GET {endpoint}/openai/v1/models/{model}

Retrieves a model instance, providing basic information about the model such as the owner and permissioning.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
model path Yes string The ID of the model to use for this request.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.Model

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Create response

POST {endpoint}/openai/v1/responses

Creates a model response.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
background boolean Whether to run the model response in the background.
Learn more.		 No False
include array Specify additional output data to include in the model response. Currently
supported values are:
- code_interpreter_call.outputs: Includes the outputs of python code execution
in code interpreter tool call items.
- computer_call_output.output.image_url: Include image urls from the computer call output.
- file_search_call.results: Include the search results of
the file search tool call.
- message.input_image.image_url: Include image urls from the input message.
- message.output_text.logprobs: Include logprobs with assistant messages.
- reasoning.encrypted_content: Includes an encrypted version of reasoning
tokens in reasoning item outputs. This enables reasoning items to be used in
multi-turn conversations when using the Responses API statelessly (like
when the store parameter is set to false, or when an organization is
enrolled in the zero data retention program).		 No
input string or array No
instructions string A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
model string The model deployment to use for the creation of this response. Yes
parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
prompt object Reference to a prompt template and its variables.
 No
└─ id string The unique identifier of the prompt template to use. No
└─ variables OpenAI.ResponsePromptVariables Optional map of values to substitute in for variables in your
prompt. The substitution values can either be strings, or other
Response input types like images or files.		 No
└─ version string Optional version of the prompt template. No
reasoning object reasoning models only

Configuration options for
reasoning models.		 No
└─ effort OpenAI.ReasoningEffort reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
└─ generate_summary enum Deprecated: use summary instead.

A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
└─ summary enum A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
store boolean Whether to store the generated model response for later retrieval via
API.		 No True
stream boolean If set to true, the model response data will be streamed to the client
as it is generated using server-sent events.
See the Streaming section below
for more information.		 No False
temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No 1
text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
tool_choice object Controls which (if any) tool is called by the model.

none means the model will not call any tool and instead generates a message.

auto means the model can pick between generating a message or calling one or
more tools.

required means the model must call one or more tools.		 No
└─ type OpenAI.ToolChoiceObjectType Indicates that the model should use a built-in tool to generate a response.. No
tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like file search.
- Function calls (custom tools): Functions that are defined by you,
enabling the model to call your own code.		 No
top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No 1
truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json AzureResponse
text/event-stream OpenAI.ResponseStreamEvent

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Examples

Example

Create a model response

POST {endpoint}/openai/v1/responses

Get response

GET {endpoint}/openai/v1/responses/{response_id}

Retrieves a model response with the given ID.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
response_id path Yes string
include_obfuscation query No boolean When true, stream obfuscation will be enabled. Stream obfuscation adds random characters to an obfuscation field on streaming delta events to normalize payload sizes as a mitigation to certain side-channel attacks. These obfuscation fields are included by default, but add a small amount of overhead to the data stream. You can set include_obfuscation to false to optimize for bandwidth if you trust the network links between your application and the OpenAI API.
include[] query No array

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json AzureResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Delete response

DELETE {endpoint}/openai/v1/responses/{response_id}

Deletes a response by ID.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
response_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json object

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List input items

GET {endpoint}/openai/v1/responses/{response_id}/input_items

Returns a list of input items for a given response.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
response_id path Yes string
limit query No integer A limit on the number of objects to be returned. Limit can range between 1 and 100, and the
default is 20.
order query No string
Possible values: asc, desc		 Sort order by the created_at timestamp of the objects. asc for ascending order anddesc
for descending order.
after query No string A cursor for use in pagination. after is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include after=obj_foo in order to fetch the next page of the list.
before query No string A cursor for use in pagination. before is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include before=obj_foo in order to fetch the previous page of the list.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ResponseItemList

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List vector stores

GET {endpoint}/openai/v1/vector_stores

Returns a list of vector stores.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
limit query No integer A limit on the number of objects to be returned. Limit can range between 1 and 100, and the
default is 20.
order query No string
Possible values: asc, desc		 Sort order by the created_at timestamp of the objects. asc for ascending order anddesc
for descending order.
after query No string A cursor for use in pagination. after is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include after=obj_foo in order to fetch the next page of the list.
before query No string A cursor for use in pagination. before is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include before=obj_foo in order to fetch the previous page of the list.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ListVectorStoresResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Createvectorstore

POST {endpoint}/openai/v1/vector_stores

Creates a vector store.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
chunking_strategy object The default strategy. This strategy currently uses a max_chunk_size_tokens of 800 and chunk_overlap_tokens of 400. No
└─ static OpenAI.StaticChunkingStrategy No
└─ type enum Always static.
Possible values: static		 No
expires_after OpenAI.VectorStoreExpirationAfter The expiration policy for a vector store. No
file_ids array A list of File IDs that the vector store should use. Useful for tools like file_search that can access files. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string The name of the vector store. No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Examples

Example file not found: ./examples/vector_stores.json

Get vector store

GET {endpoint}/openai/v1/vector_stores/{vector_store_id}

Retrieves a vector store.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store to retrieve.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Modify vector store

POST {endpoint}/openai/v1/vector_stores/{vector_store_id}

Modifies a vector store.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store to modify.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
expires_after object The expiration policy for a vector store. No
└─ anchor enum Anchor timestamp after which the expiration policy applies. Supported anchors: last_active_at.
Possible values: last_active_at		 No
└─ days integer The number of days after the anchor time that the vector store will expire. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string The name of the vector store. No

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Delete vector store

DELETE {endpoint}/openai/v1/vector_stores/{vector_store_id}

Delete a vector store.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store to delete.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.DeleteVectorStoreResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Create vector store file batch

POST {endpoint}/openai/v1/vector_stores/{vector_store_id}/file_batches

Create a vector store file batch.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store for which to create a file batch.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
attributes object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard. Keys are strings
with a maximum length of 64 characters. Values are strings with a maximum
length of 512 characters, booleans, or numbers.		 No
chunking_strategy OpenAI.ChunkingStrategyRequestParam The chunking strategy used to chunk the file(s). If not set, will use the auto strategy. No
file_ids array A list of File IDs that the vector store should use. Useful for tools like file_search that can access files. Yes

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreFileBatchObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Get vector store file batch

GET {endpoint}/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}

Retrieves a vector store file batch.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store that the file batch belongs to.
batch_id path Yes string The ID of the file batch being retrieved.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreFileBatchObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Cancel vector store file batch

POST {endpoint}/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel

Cancel a vector store file batch. This attempts to cancel the processing of files in this batch as soon as possible.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store that the file batch belongs to.
batch_id path Yes string The ID of the file batch to cancel.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreFileBatchObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List files in vector store batch

GET {endpoint}/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files

Returns a list of vector store files in a batch.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store that the file batch belongs to.
batch_id path Yes string The ID of the file batch that the files belong to.
limit query No integer A limit on the number of objects to be returned. Limit can range between 1 and 100, and the
default is 20.
order query No string
Possible values: asc, desc		 Sort order by the created_at timestamp of the objects. asc for ascending order anddesc
for descending order.
after query No string A cursor for use in pagination. after is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include after=obj_foo in order to fetch the next page of the list.
before query No string A cursor for use in pagination. before is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include before=obj_foo in order to fetch the previous page of the list.
filter query No Filter by file status. One of in_progress, completed, failed, cancelled.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ListVectorStoreFilesResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

List vector store files

GET {endpoint}/openai/v1/vector_stores/{vector_store_id}/files

Returns a list of vector store files.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store that the files belong to.
limit query No integer A limit on the number of objects to be returned. Limit can range between 1 and 100, and the
default is 20.
order query No string
Possible values: asc, desc		 Sort order by the created_at timestamp of the objects. asc for ascending order anddesc
for descending order.
after query No string A cursor for use in pagination. after is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include after=obj_foo in order to fetch the next page of the list.
before query No string A cursor for use in pagination. before is an object ID that defines your place in the list.
For instance, if you make a list request and receive 100 objects, ending with obj_foo, your
subsequent call can include before=obj_foo in order to fetch the previous page of the list.
filter query No Filter by file status. One of in_progress, completed, failed, cancelled.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.ListVectorStoreFilesResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Create vector store file

POST {endpoint}/openai/v1/vector_stores/{vector_store_id}/files

Create a vector store file by attaching a File to a vector store.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store for which to create a File.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
attributes object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard. Keys are strings
with a maximum length of 64 characters. Values are strings with a maximum
length of 512 characters, booleans, or numbers.		 No
chunking_strategy OpenAI.ChunkingStrategyRequestParam The chunking strategy used to chunk the file(s). If not set, will use the auto strategy. No
file_id string A File ID that the vector store should use. Useful for tools like file_search that can access files. Yes

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreFileObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Get vector store file

GET {endpoint}/openai/v1/vector_stores/{vector_store_id}/files/{file_id}

Retrieves a vector store file.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store that the file belongs to.
file_id path Yes string The ID of the file being retrieved.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreFileObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Update vector store file attributes

POST {endpoint}/openai/v1/vector_stores/{vector_store_id}/files/{file_id}

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string
file_id path Yes string

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Request Body

Content-Type: application/json

Name Type Description Required Default
attributes object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard. Keys are strings
with a maximum length of 64 characters. Values are strings with a maximum
length of 512 characters, booleans, or numbers.		 Yes

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.VectorStoreFileObject

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Delete vector store file

DELETE {endpoint}/openai/v1/vector_stores/{vector_store_id}/files/{file_id}

Delete a vector store file. This will remove the file from the vector store but the file itself will not be deleted. To delete the file, use the delete file endpoint.

Parameters

Name In Required Type Description
endpoint path Yes string
url		 Supported Azure OpenAI endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI resource name). https://{your-resource-name}.openai.azure.com
api-version query No The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
vector_store_id path Yes string The ID of the vector store that the file belongs to.
file_id path Yes string The ID of the file to delete.

Request Header

Use either token based authentication or API key. Authenticating with token based authentication is recommended and more secure.

Name Required Type Description
Authorization True string Example: Authorization: Bearer {Azure_OpenAI_Auth_Token}

To generate an auth token using Azure CLI: az account get-access-token --resource https://cognitiveservices.azure.com

Type: oauth2
Authorization Url: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
scope: https://cognitiveservices.azure.com/.default
api-key True string Provide Azure OpenAI API key here

Responses

Status Code: 200

Description: The request has succeeded.

Content-Type Type Description
application/json OpenAI.DeleteVectorStoreFileResponse

Status Code: default

Description: An unexpected error response.

Content-Type Type Description
application/json AzureErrorResponse

Components

AzureAIFoundryModelsApiVersion

Property Value
Type string
Values v1
preview

AzureChatCompletionResponseMessage

The extended response model component for chat completion response messages on the Azure OpenAI service. This model adds support for chat message context, used by the On Your Data feature for intent, citations, and other information related to retrieval-augmented generation performed.

Name Type Description Required Default
annotations array Annotations for the message, when applicable, as when using theweb search tool. No
audio object If the audio output modality is requested, this object contains data
about the audio response from the model. .		 No
└─ data string Base64 encoded audio bytes generated by the model, in the format
specified in the request.		 No
└─ expires_at integer The Unix timestamp (in seconds) for when this audio response will
no longer be accessible on the server for use in multi-turn
conversations.		 No
└─ id string Unique identifier for this audio response. No
└─ transcript string Transcript of the audio generated by the model. No
content string The contents of the message. Yes
context object An additional property, added to chat completion response messages, produced by the Azure OpenAI service when using
extension behavior. This includes intent and citation information from the On Your Data feature.		 No
└─ all_retrieved_documents object Summary information about documents retrieved by the data retrieval operation. No
└─ chunk_id string The chunk ID for the citation. No
└─ content string The content of the citation. No
└─ data_source_index integer The index of the data source used for retrieval. No
└─ filepath string The file path for the citation. No
└─ filter_reason enum If applicable, an indication of why the document was filtered.
Possible values: score, rerank		 No
└─ original_search_score number The original search score for the retrieval. No
└─ rerank_score number The rerank score for the retrieval. No
└─ search_queries array The search queries executed to retrieve documents. No
└─ title string The title for the citation. No
└─ url string The URL of the citation. No
└─ citations array The citations produced by the data retrieval. No
└─ intent string The detected intent from the chat history, which is used to carry conversation context between interactions No
function_call object Deprecated and replaced by tool_calls. The name and arguments of a function that should be called, as generated by the model. No
└─ arguments string No
└─ name string No
reasoning_content string An Azure-specific extension property containing generated reasoning content from supported models. No
refusal string The refusal message generated by the model. Yes
role enum The role of the author of this message.
Possible values: assistant		 Yes
tool_calls ChatCompletionMessageToolCallsItem The tool calls generated by the model, such as function calls. No

AzureChatCompletionStreamResponseDelta

The extended response model for a streaming chat response message on the Azure OpenAI service. This model adds support for chat message context, used by the On Your Data feature for intent, citations, and other information related to retrieval-augmented generation performed.

Name Type Description Required Default
audio object No
└─ data string No
└─ expires_at integer No
└─ id string No
└─ transcript string No
content string The contents of the chunk message. No
context object An additional property, added to chat completion response messages, produced by the Azure OpenAI service when using
extension behavior. This includes intent and citation information from the On Your Data feature.		 No
└─ all_retrieved_documents object Summary information about documents retrieved by the data retrieval operation. No
└─ chunk_id string The chunk ID for the citation. No
└─ content string The content of the citation. No
└─ data_source_index integer The index of the data source used for retrieval. No
└─ filepath string The file path for the citation. No
└─ filter_reason enum If applicable, an indication of why the document was filtered.
Possible values: score, rerank		 No
└─ original_search_score number The original search score for the retrieval. No
└─ rerank_score number The rerank score for the retrieval. No
└─ search_queries array The search queries executed to retrieve documents. No
└─ title string The title for the citation. No
└─ url string The URL of the citation. No
└─ citations array The citations produced by the data retrieval. No
└─ intent string The detected intent from the chat history, which is used to carry conversation context between interactions No
function_call object Deprecated and replaced by tool_calls. The name and arguments of a function that should be called, as generated by the model. No
└─ arguments string No
└─ name string No
reasoning_content string An Azure-specific extension property containing generated reasoning content from supported models. No
refusal string The refusal message generated by the model. No
role object The role of the author of a message No
tool_calls array No

AzureChatDataSource

A representation of configuration data for a single Azure OpenAI chat data source. This will be used by a chat completions request that should use Azure OpenAI chat extensions to augment the response behavior. The use of this configuration is compatible only with Azure OpenAI.

Discriminator for AzureChatDataSource

This component uses the property type to discriminate between different types:

Type Value Schema
azure_search AzureSearchChatDataSource
azure_cosmos_db AzureCosmosDBChatDataSource
elasticsearch ElasticsearchChatDataSource
pinecone PineconeChatDataSource
mongo_db MongoDBChatDataSource
Name Type Description Required Default
type object Yes

AzureChatDataSourceAccessTokenAuthenticationOptions

Name Type Description Required Default
access_token string Yes
type enum
Possible values: access_token		 Yes

AzureChatDataSourceApiKeyAuthenticationOptions

Name Type Description Required Default
key string Yes
type enum
Possible values: api_key		 Yes

AzureChatDataSourceAuthenticationOptions

Discriminator for AzureChatDataSourceAuthenticationOptions

This component uses the property type to discriminate between different types:

Type Value Schema
system_assigned_managed_identity AzureChatDataSourceSystemAssignedManagedIdentityAuthenticationOptions
user_assigned_managed_identity AzureChatDataSourceUserAssignedManagedIdentityAuthenticationOptions
access_token AzureChatDataSourceAccessTokenAuthenticationOptions
connection_string AzureChatDataSourceConnectionStringAuthenticationOptions
key_and_key_id AzureChatDataSourceKeyAndKeyIdAuthenticationOptions
encoded_api_key AzureChatDataSourceEncodedApiKeyAuthenticationOptions
username_and_password AzureChatDataSourceUsernameAndPasswordAuthenticationOptions
Name Type Description Required Default
type AzureChatDataSourceAuthenticationOptionsType Yes

AzureChatDataSourceAuthenticationOptionsType

Property Value
Type string
Values api_key
username_and_password
connection_string
key_and_key_id
encoded_api_key
access_token
system_assigned_managed_identity
user_assigned_managed_identity

AzureChatDataSourceConnectionStringAuthenticationOptions

Name Type Description Required Default
connection_string string Yes
type enum
Possible values: connection_string		 Yes

AzureChatDataSourceDeploymentNameVectorizationSource

Represents a vectorization source that makes internal service calls against an Azure OpenAI embedding model deployment. In contrast with the endpoint-based vectorization source, a deployment-name-based vectorization source must be part of the same Azure OpenAI resource but can be used even in private networks.

Name Type Description Required Default
deployment_name string The embedding model deployment to use for vectorization. This deployment must exist within the same Azure OpenAI
resource as the model deployment being used for chat completions.		 Yes
dimensions integer The number of dimensions to request on embeddings.
Only supported in 'text-embedding-3' and later models.		 No
type enum The type identifier, always 'deployment_name' for this vectorization source type.
Possible values: deployment_name		 Yes

AzureChatDataSourceEncodedApiKeyAuthenticationOptions

Name Type Description Required Default
encoded_api_key string Yes
type enum
Possible values: encoded_api_key		 Yes

AzureChatDataSourceEndpointVectorizationSource

Represents a vectorization source that makes public service calls against an Azure OpenAI embedding model deployment.

Name Type Description Required Default
authentication object Yes
└─ access_token string No
└─ key string No
└─ type enum
Possible values: access_token		 No
dimensions integer The number of dimensions to request on embeddings.
Only supported in 'text-embedding-3' and later models.		 No
endpoint string Specifies the resource endpoint URL from which embeddings should be retrieved.
It should be in the format of:
https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings.
The api-version query parameter is not allowed.		 Yes
type enum The type identifier, always 'endpoint' for this vectorization source type.
Possible values: endpoint		 Yes

AzureChatDataSourceIntegratedVectorizationSource

Represents an integrated vectorization source as defined within the supporting search resource.

Name Type Description Required Default
type enum The type identifier, always 'integrated' for this vectorization source type.
Possible values: integrated		 Yes

AzureChatDataSourceKeyAndKeyIdAuthenticationOptions

Name Type Description Required Default
key string Yes
key_id string Yes
type enum
Possible values: key_and_key_id		 Yes

AzureChatDataSourceModelIdVectorizationSource

Represents a vectorization source that makes service calls based on a search service model ID. This source type is currently only supported by Elasticsearch.

Name Type Description Required Default
model_id string The embedding model build ID to use for vectorization. Yes
type enum The type identifier, always 'model_id' for this vectorization source type.
Possible values: model_id		 Yes

AzureChatDataSourceSystemAssignedManagedIdentityAuthenticationOptions

Name Type Description Required Default
type enum
Possible values: system_assigned_managed_identity		 Yes

AzureChatDataSourceType

Property Value
Type string
Values azure_search
azure_cosmos_db
elasticsearch
pinecone
mongo_db

AzureChatDataSourceUserAssignedManagedIdentityAuthenticationOptions

Name Type Description Required Default
managed_identity_resource_id string Yes
type enum
Possible values: user_assigned_managed_identity		 Yes

AzureChatDataSourceUsernameAndPasswordAuthenticationOptions

Name Type Description Required Default
password string Yes
type enum
Possible values: username_and_password		 Yes
username string Yes

AzureChatDataSourceVectorizationSource

A representation of a data vectorization source usable as an embedding resource with a data source.

Discriminator for AzureChatDataSourceVectorizationSource

This component uses the property type to discriminate between different types:

Type Value Schema
deployment_name AzureChatDataSourceDeploymentNameVectorizationSource
integrated AzureChatDataSourceIntegratedVectorizationSource
model_id AzureChatDataSourceModelIdVectorizationSource
Name Type Description Required Default
type object Yes

AzureChatDataSourceVectorizationSourceType

Property Value
Type string
Values endpoint
deployment_name
model_id
integrated

AzureChatMessageContext

An additional property, added to chat completion response messages, produced by the Azure OpenAI service when using extension behavior. This includes intent and citation information from the On Your Data feature.

Name Type Description Required Default
all_retrieved_documents object Summary information about documents retrieved by the data retrieval operation. No
└─ chunk_id string The chunk ID for the citation. No
└─ content string The content of the citation. No
└─ data_source_index integer The index of the data source used for retrieval. No
└─ filepath string The file path for the citation. No
└─ filter_reason enum If applicable, an indication of why the document was filtered.
Possible values: score, rerank		 No
└─ original_search_score number The original search score for the retrieval. No
└─ rerank_score number The rerank score for the retrieval. No
└─ search_queries array The search queries executed to retrieve documents. No
└─ title string The title for the citation. No
└─ url string The URL of the citation. No
citations array The citations produced by the data retrieval. No
intent string The detected intent from the chat history, which is used to carry conversation context between interactions No

AzureContentFilterBlocklistResult

A collection of true/false filtering results for configured custom blocklists.

Name Type Description Required Default
details array The pairs of individual blocklist IDs and whether they resulted in a filtering action. No
filtered boolean A value indicating whether any of the detailed blocklists resulted in a filtering action. Yes

AzureContentFilterCompletionTextSpan

A representation of a span of completion text as used by Azure OpenAI content filter results.

Name Type Description Required Default
completion_end_offset integer Offset of the first UTF32 code point which is excluded from the span. This field is always equal to completion_start_offset for empty spans. This field is always larger than completion_start_offset for non-empty spans. Yes
completion_start_offset integer Offset of the UTF32 code point which begins the span. Yes

AzureContentFilterCompletionTextSpanDetectionResult

Name Type Description Required Default
details array Detailed information about the detected completion text spans. Yes
detected boolean Whether the labeled content category was detected in the content. Yes
filtered boolean Whether the content detection resulted in a content filtering action. Yes

AzureContentFilterCustomTopicResult

A collection of true/false filtering results for configured custom topics.

Name Type Description Required Default
details array The pairs of individual topic IDs and whether they are detected. No
filtered boolean A value indicating whether any of the detailed topics resulted in a filtering action. Yes

AzureContentFilterDetectionResult

A labeled content filter result item that indicates whether the content was detected and whether the content was filtered.

Name Type Description Required Default
detected boolean Whether the labeled content category was detected in the content. Yes
filtered boolean Whether the content detection resulted in a content filtering action. Yes

AzureContentFilterPersonallyIdentifiableInformationResult

A content filter detection result for Personally Identifiable Information that includes harm extensions.

Name Type Description Required Default
redacted_text string The redacted text with PII information removed or masked. No
sub_categories array Detailed results for individual PIIHarmSubCategory(s). No

AzureContentFilterResultForChoice

A content filter result for a single response item produced by a generative AI system.

Name Type Description Required Default
custom_blocklists object A collection of true/false filtering results for configured custom blocklists. No
└─ details array The pairs of individual blocklist IDs and whether they resulted in a filtering action. No
└─ filtered boolean A value indicating whether any of the detailed blocklists resulted in a filtering action. No
custom_topics object A collection of true/false filtering results for configured custom topics. No
└─ details array The pairs of individual topic IDs and whether they are detected. No
└─ filtered boolean A value indicating whether any of the detailed topics resulted in a filtering action. No
error object If present, details about an error that prevented content filtering from completing its evaluation. No
└─ code integer A distinct, machine-readable code associated with the error. No
└─ message string A human-readable message associated with the error. No
hate object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No
personally_identifiable_information object A content filter detection result for Personally Identifiable Information that includes harm extensions. No
└─ redacted_text string The redacted text with PII information removed or masked. No
└─ sub_categories array Detailed results for individual PIIHarmSubCategory(s). No
profanity object A labeled content filter result item that indicates whether the content was detected and whether the content was
filtered.		 No
└─ detected boolean Whether the labeled content category was detected in the content. No
└─ filtered boolean Whether the content detection resulted in a content filtering action. No
protected_material_code object A detection result that describes a match against licensed code or other protected source material. No
└─ citation object If available, the citation details describing the associated license and its ___location. No
└─ URL string The URL associated with the license. No
└─ license string The name or identifier of the license associated with the detection. No
└─ detected boolean Whether the labeled content category was detected in the content. No
└─ filtered boolean Whether the content detection resulted in a content filtering action. No
protected_material_text object A labeled content filter result item that indicates whether the content was detected and whether the content was
filtered.		 No
└─ detected boolean Whether the labeled content category was detected in the content. No
└─ filtered boolean Whether the content detection resulted in a content filtering action. No
self_harm object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No
sexual object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No
ungrounded_material AzureContentFilterCompletionTextSpanDetectionResult No
violence object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No

AzureContentFilterResultForPrompt

A content filter result associated with a single input prompt item into a generative AI system.

Name Type Description Required Default
content_filter_results object The content filter category details for the result. No
└─ custom_blocklists object A collection of true/false filtering results for configured custom blocklists. No
└─ details array The pairs of individual blocklist IDs and whether they resulted in a filtering action. No
└─ filtered boolean A value indicating whether any of the detailed blocklists resulted in a filtering action. No
└─ custom_topics object A collection of true/false filtering results for configured custom topics. No
└─ details array The pairs of individual topic IDs and whether they are detected. No
└─ filtered boolean A value indicating whether any of the detailed topics resulted in a filtering action. No
└─ error object If present, details about an error that prevented content filtering from completing its evaluation. No
└─ code integer A distinct, machine-readable code associated with the error. No
└─ message string A human-readable message associated with the error. No
└─ hate object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No
└─ indirect_attack object A labeled content filter result item that indicates whether the content was detected and whether the content was
filtered.		 No
└─ detected boolean Whether the labeled content category was detected in the content. No
└─ filtered boolean Whether the content detection resulted in a content filtering action. No
└─ jailbreak object A labeled content filter result item that indicates whether the content was detected and whether the content was
filtered.		 No
└─ detected boolean Whether the labeled content category was detected in the content. No
└─ filtered boolean Whether the content detection resulted in a content filtering action. No
└─ profanity object A labeled content filter result item that indicates whether the content was detected and whether the content was
filtered.		 No
└─ detected boolean Whether the labeled content category was detected in the content. No
└─ filtered boolean Whether the content detection resulted in a content filtering action. No
└─ self_harm object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No
└─ sexual object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No
└─ violence object A labeled content filter result item that indicates whether the content was filtered and what the qualitative
severity level of the content was, as evaluated against content filter configuration for the category.		 No
└─ filtered boolean Whether the content severity resulted in a content filtering action. No
└─ severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 No
prompt_index integer The index of the input prompt associated with the accompanying content filter result categories. No

AzureContentFilterSeverityResult

A labeled content filter result item that indicates whether the content was filtered and what the qualitative severity level of the content was, as evaluated against content filter configuration for the category.

Name Type Description Required Default
filtered boolean Whether the content severity resulted in a content filtering action. Yes
severity enum The labeled severity of the content.
Possible values: safe, low, medium, high		 Yes

AzureCosmosDBChatDataSource

Represents a data source configuration that will use an Azure CosmosDB resource.

Name Type Description Required Default
parameters object The parameter information to control the use of the Azure CosmosDB data source. Yes
└─ allow_partial_result boolean If set to true, the system will allow partial search results to be used and the request will fail if all
partial queries fail. If not specified or specified as false, the request will fail if any search query fails.		 No False
└─ authentication AzureChatDataSourceConnectionStringAuthenticationOptions No
└─ container_name string No
└─ database_name string No
└─ embedding_dependency AzureChatDataSourceVectorizationSource A representation of a data vectorization source usable as an embedding resource with a data source. No
└─ fields_mapping object No
└─ content_fields array No
└─ content_fields_separator string No
└─ filepath_field string No
└─ title_field string No
└─ url_field string No
└─ vector_fields array No
└─ in_scope boolean Whether queries should be restricted to use of the indexed data. No
└─ include_contexts array The output context properties to include on the response.
By default, citations and intent will be requested.		 No ['citations', 'intent']
└─ index_name string No
└─ max_search_queries integer The maximum number of rewritten queries that should be sent to the search provider for a single user message.
By default, the system will make an automatic determination.		 No
└─ strictness integer The configured strictness of the search relevance filtering.
Higher strictness will increase precision but lower recall of the answer.		 No
└─ top_n_documents integer The configured number of documents to feature in the query. No
type enum The discriminated type identifier, which is always 'azure_cosmos_db'.
Possible values: azure_cosmos_db		 Yes

AzureCreateChatCompletionRequest

The extended request model for chat completions against the Azure OpenAI service. This adds the ability to provide data sources for the On Your Data feature.

Name Type Description Required Default
audio object Parameters for audio output. Required when audio output is requested with
modalities: ["audio"].		 No
└─ format enum Specifies the output audio format. Must be one of wav, mp3, flac,
opus, or pcm16.
Possible values: wav, aac, mp3, flac, opus, pcm16		 No
└─ voice object No
data_sources array The data sources to use for the On Your Data feature, exclusive to Azure OpenAI. No
frequency_penalty number Number between -2.0 and 2.0. Positive values penalize new tokens based on
their existing frequency in the text so far, decreasing the model's
likelihood to repeat the same line verbatim.		 No 0
function_call enum Specifying a particular function via {"name": "my_function"} forces the model to call that function.
Possible values: none, auto		 No
functions array Deprecated in favor of tools.

A list of functions the model may generate JSON inputs for.		 No
logit_bias object Modify the likelihood of specified tokens appearing in the completion.

Accepts a JSON object that maps tokens (specified by their token ID in the
tokenizer) to an associated bias value from -100 to 100. Mathematically,
the bias is added to the logits generated by the model prior to sampling.
The exact effect will vary per model, but values between -1 and 1 should
decrease or increase likelihood of selection; values like -100 or 100
should result in a ban or exclusive selection of the relevant token.		 No None
logprobs boolean Whether to return log probabilities of the output tokens or not. If true,
returns the log probabilities of each output token returned in the
content of message.		 No False
max_completion_tokens integer An upper bound for the number of tokens that can be generated for a
completion, including visible output tokens and reasoning tokens.		 No
max_tokens integer The maximum number of tokens that can be generated in the chat completion.
This value can be used to control costs for text generated via API.

This value is now deprecated in favor of max_completion_tokens, and is
not compatible with o1 series models.		 No
messages array A list of messages comprising the conversation so far. Depending on the
model you use, different message types (modalities) are supported,
like text, images, and audio.		 Yes
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
modalities object Output types that you would like the model to generate.
Most models are capable of generating text, which is the default:

["text"]

The gpt-4o-audio-preview model can also be used to generate audio. To request that this model generate
both text and audio responses, you can use:

["text", "audio"]		 No
model string The model deployment identifier to use for the chat completion request. Yes
n integer How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep n as 1 to minimize costs. No 1
parallel_tool_calls object Whether to enable parallel function calling during tool use. No
prediction object Base representation of predicted output from a model. No
└─ type OpenAI.ChatOutputPredictionType No
presence_penalty number Number between -2.0 and 2.0. Positive values penalize new tokens based on
whether they appear in the text so far, increasing the model's likelihood
to talk about new topics.		 No 0
reasoning_effort object reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
response_format object No
└─ type enum
Possible values: text, json_object, json_schema		 No
seed integer This feature is in Beta.
If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.
Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.		 No
stop object Not supported with latest reasoning models o3 and o4-mini.

Up to 4 sequences where the API will stop generating further tokens. The
returned text will not contain the stop sequence.		 No
store boolean Whether or not to store the output of this chat completion request for
use in model distillation or evals products.		 No False
stream boolean If set to true, the model response data will be streamed to the client
as it is generated using server-sent events.		 No False
stream_options object Options for streaming response. Only set this when you set stream: true. No
└─ include_usage boolean If set, an additional chunk will be streamed before the data: [DONE]
message. The usage field on this chunk shows the token usage statistics
for the entire request, and the choices field will always be an empty
array.

All other chunks will also include a usage field, but with a null
value. NOTE: If the stream is interrupted, you may not receive the
final usage chunk which contains the total token usage for the request.		 No
temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No 1
tool_choice OpenAI.ChatCompletionToolChoiceOption Controls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or more tools.
required means the model must call one or more tools.
Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.

none is the default when no tools are present. auto is the default if tools are present.		 No
tools array A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported. No
top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No 1
user string A unique identifier representing your end-user, which can help to
monitor and detect abuse.		 No
user_security_context AzureUserSecurityContext User security context contains several parameters that describe the application itself, and the end user that interacts with the application. These fields assist your security operations teams to investigate and mitigate security incidents by providing a comprehensive approach to protecting your AI applications. Learn more about protecting AI applications using Microsoft Defender for Cloud. No

AzureCreateChatCompletionResponse

The extended top-level chat completion response model for the Azure OpenAI service. This model adds Responsible AI content filter annotations for prompt input.

Name Type Description Required Default
choices array Yes
created integer The Unix timestamp (in seconds) of when the chat completion was created. Yes
id string A unique identifier for the chat completion. Yes
model string The model used for the chat completion. Yes
object enum The object type, which is always chat.completion.
Possible values: chat.completion		 Yes
prompt_filter_results array The Responsible AI content filter annotations associated with prompt inputs into chat completions. No
system_fingerprint string This fingerprint represents the backend configuration that the model runs with.

Can be used in conjunction with the seed request parameter to understand when backend changes have been made that might impact determinism.		 No
usage OpenAI.CompletionUsage Usage statistics for the completion request. No

AzureCreateChatCompletionStreamResponse

Name Type Description Required Default
choices array A list of chat completion choices. Can contain more than one elements if n is greater than 1. Can also be empty for the
last chunk if you set stream_options: {"include_usage": true}.		 Yes
content_filter_results AzureContentFilterResultForChoice A content filter result for a single response item produced by a generative AI system. No
created integer The Unix timestamp (in seconds) of when the chat completion was created. Each chunk has the same timestamp. Yes
delta AzureChatCompletionStreamResponseDelta The extended response model for a streaming chat response message on the Azure OpenAI service.
This model adds support for chat message context, used by the On Your Data feature for intent, citations, and other
information related to retrieval-augmented generation performed.		 No
id string A unique identifier for the chat completion. Each chunk has the same ID. Yes
model string The model to generate the completion. Yes
object enum The object type, which is always chat.completion.chunk.
Possible values: chat.completion.chunk		 Yes
system_fingerprint string This fingerprint represents the backend configuration that the model runs with.
Can be used in conjunction with the seed request parameter to understand when backend changes have been made that might impact determinism.		 No
usage object Usage statistics for the completion request. No
└─ completion_tokens integer Number of tokens in the generated completion. No 0
└─ completion_tokens_details object Breakdown of tokens used in a completion. No
└─ accepted_prediction_tokens integer When using Predicted Outputs, the number of tokens in the
prediction that appeared in the completion.		 No 0
└─ audio_tokens integer Audio input tokens generated by the model. No 0
└─ reasoning_tokens integer Tokens generated by the model for reasoning. No 0
└─ rejected_prediction_tokens integer When using Predicted Outputs, the number of tokens in the
prediction that did not appear in the completion. However, like
reasoning tokens, these tokens are still counted in the total
completion tokens for purposes of billing, output, and context window
limits.		 No 0
└─ prompt_tokens integer Number of tokens in the prompt. No 0
└─ prompt_tokens_details object Breakdown of tokens used in the prompt. No
└─ audio_tokens integer Audio input tokens present in the prompt. No 0
└─ cached_tokens integer Cached tokens present in the prompt. No 0
└─ total_tokens integer Total number of tokens used in the request (prompt + completion). No 0

AzureCreateEmbeddingRequest

Name Type Description Required Default
dimensions integer The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models. No
encoding_format enum The format to return the embeddings in. Can be either float or base64.
Possible values: float, base64		 No
input string or array Yes
model string The model to use for the embedding request. Yes
user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No

AzureCreateFileRequestMultiPart

Name Type Description Required Default
expires_after object Yes
└─ anchor AzureFileExpiryAnchor No
└─ seconds integer No
file string Yes
purpose enum The intended purpose of the uploaded file. One of: - assistants: Used in the Assistants API - batch: Used in the Batch API - fine-tune: Used for fine-tuning - evals: Used for eval data sets
Possible values: assistants, batch, fine-tune, evals		 Yes

AzureCreateResponse

Name Type Description Required Default
background boolean Whether to run the model response in the background.
Learn more.		 No False
include array Specify additional output data to include in the model response. Currently
supported values are:
- code_interpreter_call.outputs: Includes the outputs of python code execution
in code interpreter tool call items.
- computer_call_output.output.image_url: Include image urls from the computer call output.
- file_search_call.results: Include the search results of
the file search tool call.
- message.input_image.image_url: Include image urls from the input message.
- message.output_text.logprobs: Include logprobs with assistant messages.
- reasoning.encrypted_content: Includes an encrypted version of reasoning
tokens in reasoning item outputs. This enables reasoning items to be used in
multi-turn conversations when using the Responses API statelessly (like
when the store parameter is set to false, or when an organization is
enrolled in the zero data retention program).		 No
input string or array No
instructions string A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
model string The model deployment to use for the creation of this response. Yes
parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
prompt object Reference to a prompt template and its variables.
 No
└─ id string The unique identifier of the prompt template to use. No
└─ variables OpenAI.ResponsePromptVariables Optional map of values to substitute in for variables in your
prompt. The substitution values can either be strings, or other
Response input types like images or files.		 No
└─ version string Optional version of the prompt template. No
reasoning object reasoning models only

Configuration options for
reasoning models.		 No
└─ effort OpenAI.ReasoningEffort reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
└─ generate_summary enum Deprecated: use summary instead.

A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
└─ summary enum A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
store boolean Whether to store the generated model response for later retrieval via
API.		 No True
stream boolean If set to true, the model response data will be streamed to the client
as it is generated using server-sent events.
See the Streaming section below
for more information.		 No False
temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No 1
text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
tool_choice object Controls which (if any) tool is called by the model.

none means the model will not call any tool and instead generates a message.

auto means the model can pick between generating a message or calling one or
more tools.

required means the model must call one or more tools.		 No
└─ type OpenAI.ToolChoiceObjectType Indicates that the model should use a built-in tool to generate a response.. No
tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like file search.
- Function calls (custom tools): Functions that are defined by you,
enabling the model to call your own code.		 No
top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No 1
truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No

AzureErrorResponse

Name Type Description Required Default
error object The error details. No
└─ code string The distinct, machine-generated identifier for the error. No
└─ inner_error No
└─ message string A human-readable message associated with the error. No
└─ param string If applicable, the request input parameter associated with the error No
└─ type enum The object type, always 'error.'
Possible values: error		 No

AzureEvalAPICompletionsSamplingParams

Name Type Description Required Default
parallel_tool_calls boolean No
response_format OpenAI.ResponseTextFormatConfiguration No
tools array No

AzureEvalAPIModelSamplingParams

Name Type Description Required Default
max_tokens integer The maximum number of tokens in the generated output. No
reasoning_effort enum Controls the level of reasoning effort applied during generation.
Possible values: low, medium, high		 No
seed integer A seed value to initialize the randomness during sampling. No
temperature number A higher temperature increases randomness in the outputs. No
top_p number An alternative to temperature for nucleus sampling; 1.0 includes all tokens. No

AzureEvalAPIResponseSamplingParams

Name Type Description Required Default
parallel_tool_calls boolean No
response_format OpenAI.ResponseTextFormatConfiguration No
tools array No

AzureFileExpiryAnchor

Property Value
Type string
Values created_at

AzureFineTuneReinforcementMethod

Name Type Description Required Default
grader object A StringCheckGrader object that performs a string comparison between input and reference using a specified operation. Yes
└─ calculate_output string A formula to calculate the output based on grader results. No
└─ evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 No
└─ graders object No
└─ input array The input text. This may include template strings. No
└─ model string The model to use for the evaluation. No
└─ name string The name of the grader. No
└─ operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 No
└─ range array The range of the score. Defaults to [0, 1]. No
└─ reference string The text being graded against. No
└─ sampling_params The sampling parameters for the model. No
└─ type enum The object type, which is always multi.
Possible values: multi		 No
hyperparameters OpenAI.FineTuneReinforcementHyperparameters The hyperparameters used for the reinforcement fine-tuning job. No
response_format object No
└─ json_schema object JSON Schema for the response format No
└─ type enum Type of response format
Possible values: json_schema		 No

AzureListFilesResponse

Name Type Description Required Default
data array Yes
first_id string Yes
has_more boolean Yes
last_id string Yes
object enum
Possible values: list		 Yes

AzureOpenAIFile

Name Type Description Required Default
bytes integer The size of the file, in bytes. Yes
created_at integer The Unix timestamp (in seconds) for when the file was created. Yes
expires_at integer The Unix timestamp (in seconds) for when the file will expire. No
filename string The name of the file. Yes
id string The file identifier, which can be referenced in the API endpoints. Yes
object enum The object type, which is always file.
Possible values: file		 Yes
purpose enum The intended purpose of the file. Supported values are assistants, assistants_output, batch, batch_output, fine-tune and fine-tune-results.
Possible values: assistants, assistants_output, batch, batch_output, fine-tune, fine-tune-results, evals		 Yes
status enum
Possible values: uploaded, pending, running, processed, error, deleting, deleted		 Yes
status_details string Deprecated. For details on why a fine-tuning training file failed validation, see the error field on fine_tuning.job. No

AzurePiiSubCategoryResult

Result details for individual PIIHarmSubCategory(s).

Name Type Description Required Default
detected boolean Whether the labeled content subcategory was detected in the content. Yes
filtered boolean Whether the content detection resulted in a content filtering action for this subcategory. Yes
redacted boolean Whether the content was redacted for this subcategory. Yes
sub_category string The PIIHarmSubCategory that was evaluated. Yes

AzureResponse

Name Type Description Required Default
background boolean Whether to run the model response in the background.
Learn more.		 No False
created_at integer Unix timestamp (in seconds) of when this Response was created. Yes
error object An error object returned when the model fails to generate a Response. Yes
└─ code OpenAI.ResponseErrorCode The error code for the response. No
└─ message string A human-readable description of the error. No
id string Unique identifier for this Response. Yes
incomplete_details object Details about why the response is incomplete. Yes
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
instructions string or array Yes
max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
model string The model used to generate this response. Yes
object enum The object type of this resource - always set to response.
Possible values: response		 Yes
output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 Yes
output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. Yes True
previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
prompt object Reference to a prompt template and its variables.
 No
└─ id string The unique identifier of the prompt template to use. No
└─ variables OpenAI.ResponsePromptVariables Optional map of values to substitute in for variables in your
prompt. The substitution values can either be strings, or other
Response input types like images or files.		 No
└─ version string Optional version of the prompt template. No
reasoning object reasoning models only

Configuration options for
reasoning models.		 No
└─ effort OpenAI.ReasoningEffort reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
└─ generate_summary enum Deprecated: use summary instead.

A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
└─ summary enum A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 Yes
text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
tool_choice object Controls which (if any) tool is called by the model.

none means the model will not call any tool and instead generates a message.

auto means the model can pick between generating a message or calling one or
more tools.

required means the model must call one or more tools.		 No
└─ type OpenAI.ToolChoiceObjectType Indicates that the model should use a built-in tool to generate a response.. No
tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 Yes
truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Yes

AzureSearchChatDataSource

Represents a data source configuration that will use an Azure Search resource.

Name Type Description Required Default
parameters object The parameter information to control the use of the Azure Search data source. Yes
└─ allow_partial_result boolean If set to true, the system will allow partial search results to be used and the request will fail if all
partial queries fail. If not specified or specified as false, the request will fail if any search query fails.		 No False
└─ authentication object No
└─ access_token string No
└─ key string No
└─ managed_identity_resource_id string No
└─ type enum
Possible values: access_token		 No
└─ embedding_dependency object Represents a vectorization source that makes public service calls against an Azure OpenAI embedding model deployment. No
└─ authentication AzureChatDataSourceApiKeyAuthenticationOptions or AzureChatDataSourceAccessTokenAuthenticationOptions The authentication mechanism to use with the endpoint-based vectorization source.
Endpoint authentication supports API key and access token mechanisms.		 No
└─ deployment_name string The embedding model deployment to use for vectorization. This deployment must exist within the same Azure OpenAI
resource as the model deployment being used for chat completions.		 No
└─ dimensions integer The number of dimensions to request on embeddings.
Only supported in 'text-embedding-3' and later models.		 No
└─ endpoint string Specifies the resource endpoint URL from which embeddings should be retrieved.
It should be in the format of:
https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings.
The api-version query parameter is not allowed.		 No
└─ type enum The type identifier, always 'integrated' for this vectorization source type.
Possible values: integrated		 No
└─ endpoint string The absolute endpoint path for the Azure Search resource to use. No
└─ fields_mapping object The field mappings to use with the Azure Search resource. No
└─ content_fields array The names of index fields that should be treated as content. No
└─ content_fields_separator string The separator pattern that content fields should use. No
└─ filepath_field string The name of the index field to use as a filepath. No
└─ image_vector_fields array The names of fields that represent image vector data. No
└─ title_field string The name of the index field to use as a title. No
└─ url_field string The name of the index field to use as a URL. No
└─ vector_fields array The names of fields that represent vector data. No
└─ filter string A filter to apply to the search. No
└─ in_scope boolean Whether queries should be restricted to use of the indexed data. No
└─ include_contexts array The output context properties to include on the response.
By default, citations and intent will be requested.		 No ['citations', 'intent']
└─ index_name string The name of the index to use, as specified in the Azure Search resource. No
└─ max_search_queries integer The maximum number of rewritten queries that should be sent to the search provider for a single user message.
By default, the system will make an automatic determination.		 No
└─ query_type enum The query type for the Azure Search resource to use.
Possible values: simple, semantic, vector, vector_simple_hybrid, vector_semantic_hybrid		 No
└─ semantic_configuration string Additional semantic configuration for the query. No
└─ strictness integer The configured strictness of the search relevance filtering.
Higher strictness will increase precision but lower recall of the answer.		 No
└─ top_n_documents integer The configured number of documents to feature in the query. No
type enum The discriminated type identifier, which is always 'azure_search'.
Possible values: azure_search		 Yes

AzureUserSecurityContext

User security context contains several parameters that describe the application itself, and the end user that interacts with the application. These fields assist your security operations teams to investigate and mitigate security incidents by providing a comprehensive approach to protecting your AI applications. Learn more about protecting AI applications using Microsoft Defender for Cloud.

Name Type Description Required Default
application_name string The name of the application. Sensitive personal information should not be included in this field. No
end_user_id string This identifier is the Microsoft Entra ID (formerly Azure Active Directory) user object ID used to authenticate end-users within the generative AI application. Sensitive personal information should not be included in this field. No
end_user_tenant_id string The Microsoft 365 tenant ID the end user belongs to. It's required when the generative AI application is multitenant. No
source_ip string Captures the original client's IP address. No

ChatCompletionMessageToolCallsItem

The tool calls generated by the model, such as function calls.

Array of: OpenAI.ChatCompletionMessageToolCall

CopiedAccountDetails

Name Type Description Required Default
destinationResourceId string The ID of the destination resource where the model was copied to. Yes
region string The region where the model was copied to. Yes
status enum The status of the copy operation.
Possible values: Completed, Failed, InProgress		 Yes

CopyModelRequest

Name Type Description Required Default
destinationResourceId string The ID of the destination Resource to copy. Yes
region string The region to copy the model to. Yes

CopyModelResponse

Name Type Description Required Default
checkpointedModelName string The ID of the copied model. Yes
copiedAccountDetails array The ID of the destination resource id where it was copied Yes
fineTuningJobId string The ID of the fine-tuning job that the checkpoint was copied from. Yes

ElasticsearchChatDataSource

Name Type Description Required Default
parameters object The parameter information to control the use of the Elasticsearch data source. Yes
└─ allow_partial_result boolean If set to true, the system will allow partial search results to be used and the request will fail if all
partial queries fail. If not specified or specified as false, the request will fail if any search query fails.		 No False
└─ authentication object No
└─ encoded_api_key string No
└─ key string No
└─ key_id string No
└─ type enum
Possible values: encoded_api_key		 No
└─ embedding_dependency AzureChatDataSourceVectorizationSource A representation of a data vectorization source usable as an embedding resource with a data source. No
└─ endpoint string No
└─ fields_mapping object No
└─ content_fields array No
└─ content_fields_separator string No
└─ filepath_field string No
└─ title_field string No
└─ url_field string No
└─ vector_fields array No
└─ in_scope boolean Whether queries should be restricted to use of the indexed data. No
└─ include_contexts array The output context properties to include on the response.
By default, citations and intent will be requested.		 No ['citations', 'intent']
└─ index_name string No
└─ max_search_queries integer The maximum number of rewritten queries that should be sent to the search provider for a single user message.
By default, the system will make an automatic determination.		 No
└─ query_type enum
Possible values: simple, vector		 No
└─ strictness integer The configured strictness of the search relevance filtering.
Higher strictness will increase precision but lower recall of the answer.		 No
└─ top_n_documents integer The configured number of documents to feature in the query. No
type enum The discriminated type identifier, which is always 'elasticsearch'.
Possible values: elasticsearch		 Yes

MongoDBChatDataSource

Name Type Description Required Default
parameters object The parameter information to control the use of the MongoDB data source. Yes
└─ allow_partial_result boolean If set to true, the system will allow partial search results to be used and the request will fail if all
partial queries fail. If not specified or specified as false, the request will fail if any search query fails.		 No False
└─ app_name string The name of the MongoDB application. No
└─ authentication object No
└─ password string No
└─ type enum
Possible values: username_and_password		 No
└─ username string No
└─ collection_name string The name of the MongoDB collection. No
└─ database_name string The name of the MongoDB database. No
└─ embedding_dependency object Represents a vectorization source that makes public service calls against an Azure OpenAI embedding model deployment. No
└─ authentication AzureChatDataSourceApiKeyAuthenticationOptions or AzureChatDataSourceAccessTokenAuthenticationOptions The authentication mechanism to use with the endpoint-based vectorization source.
Endpoint authentication supports API key and access token mechanisms.		 No
└─ deployment_name string The embedding model deployment to use for vectorization. This deployment must exist within the same Azure OpenAI
resource as the model deployment being used for chat completions.		 No
└─ dimensions integer The number of dimensions to request on embeddings.
Only supported in 'text-embedding-3' and later models.		 No
└─ endpoint string Specifies the resource endpoint URL from which embeddings should be retrieved.
It should be in the format of:
https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings.
The api-version query parameter is not allowed.		 No
└─ type enum The type identifier, always 'deployment_name' for this vectorization source type.
Possible values: deployment_name		 No
└─ endpoint string The name of the MongoDB cluster endpoint. No
└─ fields_mapping object Field mappings to apply to data used by the MongoDB data source.
Note that content and vector field mappings are required for MongoDB.		 No
└─ content_fields array No
└─ content_fields_separator string No
└─ filepath_field string No
└─ title_field string No
└─ url_field string No
└─ vector_fields array No
└─ in_scope boolean Whether queries should be restricted to use of the indexed data. No
└─ include_contexts array The output context properties to include on the response.
By default, citations and intent will be requested.		 No ['citations', 'intent']
└─ index_name string The name of the MongoDB index. No
└─ max_search_queries integer The maximum number of rewritten queries that should be sent to the search provider for a single user message.
By default, the system will make an automatic determination.		 No
└─ strictness integer The configured strictness of the search relevance filtering.
Higher strictness will increase precision but lower recall of the answer.		 No
└─ top_n_documents integer The configured number of documents to feature in the query. No
type enum The discriminated type identifier, which is always 'mongo_db'.
Possible values: mongo_db		 Yes

OpenAI.Annotation

Discriminator for OpenAI.Annotation

This component uses the property type to discriminate between different types:

Type Value Schema
file_citation OpenAI.AnnotationFileCitation
url_citation OpenAI.AnnotationUrlCitation
file_path OpenAI.AnnotationFilePath
Name Type Description Required Default
type OpenAI.AnnotationType Yes

OpenAI.AnnotationFileCitation

A citation to a file.

Name Type Description Required Default
file_id string The ID of the file. Yes
filename string The filename of the file cited. Yes
index integer The index of the file in the list of files. Yes
type enum The type of the file citation. Always file_citation.
Possible values: file_citation		 Yes

OpenAI.AnnotationFilePath

A path to a file.

Name Type Description Required Default
file_id string The ID of the file. Yes
index integer The index of the file in the list of files. Yes
type enum The type of the file path. Always file_path.
Possible values: file_path		 Yes

OpenAI.AnnotationType

Property Value
Type string
Values file_citation
url_citation
file_path
container_file_citation

OpenAI.AnnotationUrlCitation

A citation for a web resource used to generate a model response.

Name Type Description Required Default
end_index integer The index of the last character of the URL citation in the message. Yes
start_index integer The index of the first character of the URL citation in the message. Yes
title string The title of the web resource. Yes
type enum The type of the URL citation. Always url_citation.
Possible values: url_citation		 Yes
url string The URL of the web resource. Yes

OpenAI.ApproximateLocation

Name Type Description Required Default
city string No
country string No
region string No
timezone string No
type enum
Possible values: approximate		 Yes

OpenAI.AutoChunkingStrategyRequestParam

The default strategy. This strategy currently uses a max_chunk_size_tokens of 800 and chunk_overlap_tokens of 400.

Name Type Description Required Default
type enum Always auto.
Possible values: auto		 Yes

OpenAI.ChatCompletionFunctionCallOption

Specifying a particular function via {"name": "my_function"} forces the model to call that function.

Name Type Description Required Default
name string The name of the function to call. Yes

OpenAI.ChatCompletionFunctions

Name Type Description Required Default
description string A description of what the function does, used by the model to choose when and how to call the function. No
name string The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. Yes
parameters The parameters the functions accepts, described as a JSON Schema object.
See the JSON Schema reference
for documentation about the format.

Omitting parameters defines a function with an empty parameter list.		 No

OpenAI.ChatCompletionMessageAudioChunk

Name Type Description Required Default
data string No
expires_at integer No
id string No
transcript string No

OpenAI.ChatCompletionMessageToolCall

Name Type Description Required Default
function object The function that the model called. Yes
└─ arguments string The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. No
└─ name string The name of the function to call. No
id string The ID of the tool call. Yes
type enum The type of the tool. Currently, only function is supported.
Possible values: function		 Yes

OpenAI.ChatCompletionMessageToolCallChunk

Name Type Description Required Default
function object No
└─ arguments string The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. No
└─ name string The name of the function to call. No
id string The ID of the tool call. No
index integer Yes
type enum The type of the tool. Currently, only function is supported.
Possible values: function		 No

OpenAI.ChatCompletionNamedToolChoice

Specifies a tool the model should use. Use to force the model to call a specific function.

Name Type Description Required Default
function object Yes
└─ name string The name of the function to call. No
type enum The type of the tool. Currently, only function is supported.
Possible values: function		 Yes

OpenAI.ChatCompletionRequestAssistantMessage

Messages sent by the model in response to user messages.

Name Type Description Required Default
audio object Data about a previous audio response from the model. No
└─ id string Unique identifier for a previous audio response from the model. No
content string or array No
function_call object Deprecated and replaced by tool_calls. The name and arguments of a function that should be called, as generated by the model. No
└─ arguments string No
└─ name string No
name string An optional name for the participant. Provides the model information to differentiate between participants of the same role. No
refusal string The refusal message by the assistant. No
role enum The role of the messages author, in this case assistant.
Possible values: assistant		 Yes
tool_calls ChatCompletionMessageToolCallsItem The tool calls generated by the model, such as function calls. No

OpenAI.ChatCompletionRequestAssistantMessageContentPart

Name Type Description Required Default
refusal string The refusal message generated by the model. Yes
text string The text content. Yes
type enum The type of the content part.
Possible values: refusal		 Yes

OpenAI.ChatCompletionRequestDeveloperMessage

Developer-provided instructions that the model should follow, regardless of messages sent by the user. With o1 models and newer, developer messages replace the previous system messages.

Name Type Description Required Default
content string or array Yes
name string An optional name for the participant. Provides the model information to differentiate between participants of the same role. No
role enum The role of the messages author, in this case developer.
Possible values: developer		 Yes

OpenAI.ChatCompletionRequestFunctionMessage

Name Type Description Required Default
content string The contents of the function message. Yes
name string The name of the function to call. Yes
role enum The role of the messages author, in this case function.
Possible values: function		 Yes

OpenAI.ChatCompletionRequestMessage

Discriminator for OpenAI.ChatCompletionRequestMessage

This component uses the property role to discriminate between different types:

Type Value Schema
system OpenAI.ChatCompletionRequestSystemMessage
developer OpenAI.ChatCompletionRequestDeveloperMessage
user OpenAI.ChatCompletionRequestUserMessage
assistant OpenAI.ChatCompletionRequestAssistantMessage
tool OpenAI.ChatCompletionRequestToolMessage
function OpenAI.ChatCompletionRequestFunctionMessage
Name Type Description Required Default
content string or array No
role object The role of the author of a message Yes

OpenAI.ChatCompletionRequestMessageContentPart

Discriminator for OpenAI.ChatCompletionRequestMessageContentPart

This component uses the property type to discriminate between different types:

Type Value Schema
text OpenAI.ChatCompletionRequestMessageContentPartText
image_url OpenAI.ChatCompletionRequestMessageContentPartImage
refusal OpenAI.ChatCompletionRequestMessageContentPartRefusal
file OpenAI.ChatCompletionRequestMessageContentPartFile
input_audio OpenAI.ChatCompletionRequestMessageContentPartAudio
Name Type Description Required Default
type OpenAI.ChatCompletionRequestMessageContentPartType Yes

OpenAI.ChatCompletionRequestMessageContentPartAudio

Name Type Description Required Default
input_audio object Yes
└─ data string Base64 encoded audio data. No
└─ format enum The format of the encoded audio data. Currently supports "wav" and "mp3".
Possible values: wav, mp3		 No
type enum The type of the content part. Always input_audio.
Possible values: input_audio		 Yes

OpenAI.ChatCompletionRequestMessageContentPartFile

Name Type Description Required Default
file object Yes
└─ file_data string The base64 encoded file data, used when passing the file to the model
as a string.		 No
└─ file_id string The ID of an uploaded file to use as input. No
└─ filename string The name of the file, used when passing the file to the model as a
string.		 No
type enum The type of the content part. Always file.
Possible values: file		 Yes

OpenAI.ChatCompletionRequestMessageContentPartImage

Name Type Description Required Default
image_url object Yes
└─ detail enum Specifies the detail level of the image.
Possible values: auto, low, high		 No
└─ url string Either a URL of the image or the base64 encoded image data. No
type enum The type of the content part.
Possible values: image_url		 Yes

OpenAI.ChatCompletionRequestMessageContentPartRefusal

Name Type Description Required Default
refusal string The refusal message generated by the model. Yes
type enum The type of the content part.
Possible values: refusal		 Yes

OpenAI.ChatCompletionRequestMessageContentPartText

Name Type Description Required Default
text string The text content. Yes
type enum The type of the content part.
Possible values: text		 Yes

OpenAI.ChatCompletionRequestMessageContentPartType

Property Value
Type string
Values text
file
input_audio
image_url
refusal

OpenAI.ChatCompletionRequestSystemMessage

Developer-provided instructions that the model should follow, regardless of messages sent by the user. With o1 models and newer, use developer messages for this purpose instead.

Name Type Description Required Default
content string or array Yes
name string An optional name for the participant. Provides the model information to differentiate between participants of the same role. No
role enum The role of the messages author, in this case system.
Possible values: system		 Yes

OpenAI.ChatCompletionRequestSystemMessageContentPart

References: OpenAI.ChatCompletionRequestMessageContentPartText

OpenAI.ChatCompletionRequestToolMessage

Name Type Description Required Default
content string or array Yes
role enum The role of the messages author, in this case tool.
Possible values: tool		 Yes
tool_call_id string Tool call that this message is responding to. Yes

OpenAI.ChatCompletionRequestToolMessageContentPart

References: OpenAI.ChatCompletionRequestMessageContentPartText

OpenAI.ChatCompletionRequestUserMessage

Messages sent by an end user, containing prompts or additional context information.

Name Type Description Required Default
content string or array Yes
name string An optional name for the participant. Provides the model information to differentiate between participants of the same role. No
role enum The role of the messages author, in this case user.
Possible values: user		 Yes

OpenAI.ChatCompletionRequestUserMessageContentPart

Name Type Description Required Default
file object Yes
└─ file_data string The base64 encoded file data, used when passing the file to the model
as a string.		 No
└─ file_id string The ID of an uploaded file to use as input. No
└─ filename string The name of the file, used when passing the file to the model as a
string.		 No
image_url object Yes
└─ detail enum Specifies the detail level of the image.
Possible values: auto, low, high		 No
└─ url string Either a URL of the image or the base64 encoded image data. No
input_audio object Yes
└─ data string Base64 encoded audio data. No
└─ format enum The format of the encoded audio data. Currently supports "wav" and "mp3".
Possible values: wav, mp3		 No
text string The text content. Yes
type enum The type of the content part. Always file.
Possible values: file		 Yes

OpenAI.ChatCompletionRole

The role of the author of a message

Property Value
Description The role of the author of a message
Type string
Values system
developer
user
assistant
tool
function

OpenAI.ChatCompletionStreamOptions

Options for streaming response. Only set this when you set stream: true.

Name Type Description Required Default
include_usage boolean If set, an additional chunk will be streamed before the data: [DONE]
message. The usage field on this chunk shows the token usage statistics
for the entire request, and the choices field will always be an empty
array.

All other chunks will also include a usage field, but with a null
value. NOTE: If the stream is interrupted, you may not receive the
final usage chunk which contains the total token usage for the request.		 No

OpenAI.ChatCompletionStreamResponseDelta

A chat completion delta generated by streamed model responses.

Name Type Description Required Default
audio object No
└─ data string No
└─ expires_at integer No
└─ id string No
└─ transcript string No
content string The contents of the chunk message. No
function_call object Deprecated and replaced by tool_calls. The name and arguments of a function that should be called, as generated by the model. No
└─ arguments string No
└─ name string No
refusal string The refusal message generated by the model. No
role object The role of the author of a message No
tool_calls array No

OpenAI.ChatCompletionTokenLogprob

Name Type Description Required Default
bytes array A list of integers representing the UTF-8 bytes representation of the token. Useful in instances where characters are represented by multiple tokens and their byte representations must be combined to generate the correct text representation. Can be null if there is no bytes representation for the token. Yes
logprob number The log probability of this token, if it is within the top 20 most likely tokens. Otherwise, the value -9999.0 is used to signify that the token is very unlikely. Yes
token string The token. Yes
top_logprobs array List of the most likely tokens and their log probability, at this token position. In rare cases, there may be fewer than the number of requested top_logprobs returned. Yes

OpenAI.ChatCompletionTool

Name Type Description Required Default
function OpenAI.FunctionObject Yes
type enum The type of the tool. Currently, only function is supported.
Possible values: function		 Yes

OpenAI.ChatCompletionToolChoiceOption

Controls which (if any) tool is called by the model. none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.

none is the default when no tools are present. auto is the default if tools are present.

Name Type Description Required Default
function object Yes
└─ name string The name of the function to call. No
type enum The type of the tool. Currently, only function is supported.
Possible values: function		 Yes

OpenAI.ChatOutputPrediction

Base representation of predicted output from a model.

Discriminator for OpenAI.ChatOutputPrediction

This component uses the property type to discriminate between different types:

Type Value Schema
content OpenAI.ChatOutputPredictionContent
Name Type Description Required Default
type OpenAI.ChatOutputPredictionType Yes

OpenAI.ChatOutputPredictionContent

Static predicted output content, such as the content of a text file that is being regenerated.

Name Type Description Required Default
content string or array Yes
type enum The type of the predicted content you want to provide. This type is
currently always content.
Possible values: content		 Yes

OpenAI.ChatOutputPredictionType

Property Value
Type string
Values content

OpenAI.ChunkingStrategyRequestParam

The chunking strategy used to chunk the file(s). If not set, will use the auto strategy.

Discriminator for OpenAI.ChunkingStrategyRequestParam

This component uses the property type to discriminate between different types:

Type Value Schema
static OpenAI.StaticChunkingStrategyRequestParam
Name Type Description Required Default
type enum The type of chunking strategy.
Possible values: auto, static		 Yes

OpenAI.ChunkingStrategyResponseParam

Discriminator for OpenAI.ChunkingStrategyResponseParam

This component uses the property type to discriminate between different types:

Type Value Schema
other OpenAI.OtherChunkingStrategyResponseParam
static OpenAI.StaticChunkingStrategyResponseParam
Name Type Description Required Default
type enum
Possible values: static, other		 Yes

OpenAI.CodeInterpreterOutput

Discriminator for OpenAI.CodeInterpreterOutput

This component uses the property type to discriminate between different types:

Type Value Schema
image OpenAI.CodeInterpreterOutputImage
logs OpenAI.CodeInterpreterOutputLogs
Name Type Description Required Default
type OpenAI.CodeInterpreterOutputType Yes

OpenAI.CodeInterpreterOutputImage

The image output from the code interpreter.

Name Type Description Required Default
type enum The type of the output. Always 'image'.
Possible values: image		 Yes
url string The URL of the image output from the code interpreter. Yes

OpenAI.CodeInterpreterOutputLogs

The logs output from the code interpreter.

Name Type Description Required Default
logs string The logs output from the code interpreter. Yes
type enum The type of the output. Always 'logs'.
Possible values: logs		 Yes

OpenAI.CodeInterpreterOutputType

Property Value
Type string
Values logs
image

OpenAI.CodeInterpreterTool

A tool that runs Python code to help generate a response to a prompt.

Name Type Description Required Default
container object Configuration for a code interpreter container. Optionally specify the IDs
of the files to run the code on.		 Yes
└─ file_ids array An optional list of uploaded files to make available to your code. No
└─ type enum Always auto.
Possible values: auto		 No
type enum The type of the code interpreter tool. Always code_interpreter.
Possible values: code_interpreter		 Yes

OpenAI.CodeInterpreterToolAuto

Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.

Name Type Description Required Default
file_ids array An optional list of uploaded files to make available to your code. No
type enum Always auto.
Possible values: auto		 Yes

OpenAI.CodeInterpreterToolCallItemParam

A tool call to run code.

Name Type Description Required Default
code string The code to run, or null if not available. Yes
container_id string The ID of the container used to run the code. Yes
outputs array The outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.		 Yes
type enum
Possible values: code_interpreter_call		 Yes

OpenAI.CodeInterpreterToolCallItemResource

A tool call to run code.

Name Type Description Required Default
code string The code to run, or null if not available. Yes
container_id string The ID of the container used to run the code. Yes
outputs array The outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.		 Yes
status enum
Possible values: in_progress, completed, incomplete, interpreting, failed		 Yes
type enum
Possible values: code_interpreter_call		 Yes

OpenAI.ComparisonFilter

A filter used to compare a specified attribute key to a given value using a defined comparison operation.

Name Type Description Required Default
key string The key to compare against the value. Yes
type enum Specifies the comparison operator: eq, ne, gt, gte, lt, lte.
- eq: equals
- ne: not equal
- gt: greater than
- gte: greater than or equal
- lt: less than
- lte: less than or equal
Possible values: eq, ne, gt, gte, lt, lte		 Yes
value string or number or boolean Yes

OpenAI.CompletionUsage

Usage statistics for the completion request.

Name Type Description Required Default
completion_tokens integer Number of tokens in the generated completion. Yes 0
completion_tokens_details object Breakdown of tokens used in a completion. No
└─ accepted_prediction_tokens integer When using Predicted Outputs, the number of tokens in the
prediction that appeared in the completion.		 No 0
└─ audio_tokens integer Audio input tokens generated by the model. No 0
└─ reasoning_tokens integer Tokens generated by the model for reasoning. No 0
└─ rejected_prediction_tokens integer When using Predicted Outputs, the number of tokens in the
prediction that did not appear in the completion. However, like
reasoning tokens, these tokens are still counted in the total
completion tokens for purposes of billing, output, and context window
limits.		 No 0
prompt_tokens integer Number of tokens in the prompt. Yes 0
prompt_tokens_details object Breakdown of tokens used in the prompt. No
└─ audio_tokens integer Audio input tokens present in the prompt. No 0
└─ cached_tokens integer Cached tokens present in the prompt. No 0
total_tokens integer Total number of tokens used in the request (prompt + completion). Yes 0

OpenAI.CompoundFilter

Combine multiple filters using and or or.

Name Type Description Required Default
filters array Array of filters to combine. Items can be ComparisonFilter or CompoundFilter. Yes
type enum Type of operation: and or or.
Possible values: and, or		 Yes

OpenAI.ComputerAction

Discriminator for OpenAI.ComputerAction

This component uses the property type to discriminate between different types:

Type Value Schema
click OpenAI.ComputerActionClick
double_click OpenAI.ComputerActionDoubleClick
drag OpenAI.ComputerActionDrag
move OpenAI.ComputerActionMove
screenshot OpenAI.ComputerActionScreenshot
scroll OpenAI.ComputerActionScroll
type OpenAI.ComputerActionTypeKeys
wait OpenAI.ComputerActionWait
keypress OpenAI.ComputerActionKeyPress
Name Type Description Required Default
type OpenAI.ComputerActionType Yes

OpenAI.ComputerActionClick

A click action.

Name Type Description Required Default
button enum Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Possible values: left, right, wheel, back, forward		 Yes
type enum Specifies the event type. For a click action, this property is
always set to click.
Possible values: click		 Yes
x integer The x-coordinate where the click occurred. Yes
y integer The y-coordinate where the click occurred. Yes

OpenAI.ComputerActionDoubleClick

A double click action.

Name Type Description Required Default
type enum Specifies the event type. For a double click action, this property is
always set to double_click.
Possible values: double_click		 Yes
x integer The x-coordinate where the double click occurred. Yes
y integer The y-coordinate where the double click occurred. Yes

OpenAI.ComputerActionDrag

A drag action.

Name Type Description Required Default
path array An array of coordinates representing the path of the drag action. Coordinates will appear as an array
of objects, eg
<br>[<br> { x: 100, y: 200 },<br> { x: 200, y: 300 }<br>]<br>		 Yes
type enum Specifies the event type. For a drag action, this property is
always set to drag.
Possible values: drag		 Yes

OpenAI.ComputerActionKeyPress

A collection of keypresses the model would like to perform.

Name Type Description Required Default
keys array The combination of keys the model is requesting to be pressed. This is an
array of strings, each representing a key.		 Yes
type enum Specifies the event type. For a keypress action, this property is
always set to keypress.
Possible values: keypress		 Yes

OpenAI.ComputerActionMove

A mouse move action.

Name Type Description Required Default
type enum Specifies the event type. For a move action, this property is
always set to move.
Possible values: move		 Yes
x integer The x-coordinate to move to. Yes
y integer The y-coordinate to move to. Yes

OpenAI.ComputerActionScreenshot

A screenshot action.

Name Type Description Required Default
type enum Specifies the event type. For a screenshot action, this property is
always set to screenshot.
Possible values: screenshot		 Yes

OpenAI.ComputerActionScroll

A scroll action.

Name Type Description Required Default
scroll_x integer The horizontal scroll distance. Yes
scroll_y integer The vertical scroll distance. Yes
type enum Specifies the event type. For a scroll action, this property is
always set to scroll.
Possible values: scroll		 Yes
x integer The x-coordinate where the scroll occurred. Yes
y integer The y-coordinate where the scroll occurred. Yes

OpenAI.ComputerActionType

Property Value
Type string
Values screenshot
click
double_click
scroll
type
wait
keypress
drag
move

OpenAI.ComputerActionTypeKeys

An action to type in text.

Name Type Description Required Default
text string The text to type. Yes
type enum Specifies the event type. For a type action, this property is
always set to type.
Possible values: type		 Yes

OpenAI.ComputerActionWait

A wait action.

Name Type Description Required Default
type enum Specifies the event type. For a wait action, this property is
always set to wait.
Possible values: wait		 Yes

OpenAI.ComputerToolCallItemParam

A tool call to a computer use tool.

Name Type Description Required Default
action OpenAI.ComputerAction Yes
call_id string An identifier used when responding to the tool call with output. Yes
pending_safety_checks array The pending safety checks for the computer call. Yes
type enum
Possible values: computer_call		 Yes

OpenAI.ComputerToolCallItemResource

A tool call to a computer use tool.

Name Type Description Required Default
action OpenAI.ComputerAction Yes
call_id string An identifier used when responding to the tool call with output. Yes
pending_safety_checks array The pending safety checks for the computer call. Yes
status enum The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Possible values: in_progress, completed, incomplete		 Yes
type enum
Possible values: computer_call		 Yes

OpenAI.ComputerToolCallOutputItemOutput

Discriminator for OpenAI.ComputerToolCallOutputItemOutput

This component uses the property type to discriminate between different types:

Type Value Schema
computer_screenshot OpenAI.ComputerToolCallOutputItemOutputComputerScreenshot
Name Type Description Required Default
type OpenAI.ComputerToolCallOutputItemOutputType A computer screenshot image used with the computer use tool. Yes

OpenAI.ComputerToolCallOutputItemOutputComputerScreenshot

Name Type Description Required Default
file_id string No
image_url string No
type enum
Possible values: computer_screenshot		 Yes

OpenAI.ComputerToolCallOutputItemOutputType

A computer screenshot image used with the computer use tool.

Property Value
Description A computer screenshot image used with the computer use tool.
Type string
Values computer_screenshot

OpenAI.ComputerToolCallOutputItemParam

The output of a computer tool call.

Name Type Description Required Default
acknowledged_safety_checks array The safety checks reported by the API that have been acknowledged by the
developer.		 No
call_id string The ID of the computer tool call that produced the output. Yes
output OpenAI.ComputerToolCallOutputItemOutput Yes
type enum
Possible values: computer_call_output		 Yes

OpenAI.ComputerToolCallOutputItemResource

The output of a computer tool call.

Name Type Description Required Default
acknowledged_safety_checks array The safety checks reported by the API that have been acknowledged by the
developer.		 No
call_id string The ID of the computer tool call that produced the output. Yes
output OpenAI.ComputerToolCallOutputItemOutput Yes
status enum The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Possible values: in_progress, completed, incomplete		 Yes
type enum
Possible values: computer_call_output		 Yes

OpenAI.ComputerToolCallSafetyCheck

A pending safety check for the computer call.

Name Type Description Required Default
code string The type of the pending safety check. Yes
id string The ID of the pending safety check. Yes
message string Details about the pending safety check. Yes

OpenAI.ComputerUsePreviewTool

A tool that controls a virtual computer.

Name Type Description Required Default
display_height integer The height of the computer display. Yes
display_width integer The width of the computer display. Yes
environment enum The type of computer environment to control.
Possible values: windows, mac, linux, ubuntu, browser		 Yes
type enum The type of the computer use tool. Always computer_use_preview.
Possible values: computer_use_preview		 Yes

OpenAI.Coordinate

An x/y coordinate pair, e.g. { x: 100, y: 200 }.

Name Type Description Required Default
x integer The x-coordinate. Yes
y integer The y-coordinate. Yes

OpenAI.CreateEmbeddingResponse

Name Type Description Required Default
data array The list of embeddings generated by the model. Yes
model string The name of the model used to generate the embedding. Yes
object enum The object type, which is always "list".
Possible values: list		 Yes
usage object The usage information for the request. Yes
└─ prompt_tokens integer The number of tokens used by the prompt. No
└─ total_tokens integer The total number of tokens used by the request. No

OpenAI.CreateEvalItem

A chat message that makes up the prompt or context. May include variable references to the item namespace, ie {{item.name}}.

Name Type Description Required Default
content string or OpenAI.EvalItemContent Text inputs to the model - can contain template strings. Yes
role enum The role of the message input. One of user, assistant, system, or
developer.
Possible values: user, assistant, system, developer		 Yes
type enum The type of the message input. Always message.
Possible values: message		 No

OpenAI.CreateEvalRunRequest

Name Type Description Required Default
data_source object Yes
└─ type OpenAI.EvalRunDataSourceType No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string The name of the run. No

OpenAI.CreateFineTuningJobRequest

Valid models:

babbage-002
davinci-002
gpt-3.5-turbo
gpt-4o-mini
Name Type Description Required Default
hyperparameters object The hyperparameters used for the fine-tuning job.
This value is now deprecated in favor of method, and should be passed in under the method parameter.		 No
└─ batch_size enum
Possible values: auto		 No
└─ learning_rate_multiplier enum
Possible values: auto		 No
└─ n_epochs enum
Possible values: auto		 No
integrations array A list of integrations to enable for your fine-tuning job. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
method OpenAI.FineTuneMethod The method used for fine-tuning. No
model string (see valid models below) The name of the model to fine-tune. You can select one of the
supported models.		 Yes
seed integer The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases.
If a seed is not specified, one will be generated for you.		 No
suffix string A string of up to 64 characters that will be added to your fine-tuned model name.

For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-4o-mini:openai:custom-model-name:7p4lURel.		 No None
training_file string The ID of an uploaded file that contains training data.

See upload file for how to upload a file.

Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune.

The contents of the file should differ depending on if the model uses the chat, or if the fine-tuning method uses the preference format.

See the fine-tuning guide for more details.		 Yes
validation_file string The ID of an uploaded file that contains validation data.

If you provide this file, the data is used to generate validation
metrics periodically during fine-tuning. These metrics can be viewed in
the fine-tuning results file.
The same data should not be present in both train and validation files.

Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune.

See the fine-tuning guide for more details.		 No

OpenAI.CreateFineTuningJobRequestIntegration

Discriminator for OpenAI.CreateFineTuningJobRequestIntegration

This component uses the property type to discriminate between different types:

Type Value Schema
wandb OpenAI.CreateFineTuningJobRequestWandbIntegration
Name Type Description Required Default
type string (see valid models below) Yes

OpenAI.CreateFineTuningJobRequestWandbIntegration

Name Type Description Required Default
type enum
Possible values: wandb		 Yes
wandb object Yes
└─ entity string No
└─ name string No
└─ project string No
└─ tags array No

OpenAI.CreateVectorStoreFileBatchRequest

Name Type Description Required Default
attributes object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard. Keys are strings
with a maximum length of 64 characters. Values are strings with a maximum
length of 512 characters, booleans, or numbers.		 No
chunking_strategy OpenAI.ChunkingStrategyRequestParam The chunking strategy used to chunk the file(s). If not set, will use the auto strategy. No
file_ids array A list of File IDs that the vector store should use. Useful for tools like file_search that can access files. Yes

OpenAI.CreateVectorStoreFileRequest

Name Type Description Required Default
attributes object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard. Keys are strings
with a maximum length of 64 characters. Values are strings with a maximum
length of 512 characters, booleans, or numbers.		 No
chunking_strategy OpenAI.ChunkingStrategyRequestParam The chunking strategy used to chunk the file(s). If not set, will use the auto strategy. No
file_id string A File ID that the vector store should use. Useful for tools like file_search that can access files. Yes

OpenAI.CreateVectorStoreRequest

Name Type Description Required Default
chunking_strategy object The default strategy. This strategy currently uses a max_chunk_size_tokens of 800 and chunk_overlap_tokens of 400. No
└─ static OpenAI.StaticChunkingStrategy No
└─ type enum Always static.
Possible values: static		 No
expires_after OpenAI.VectorStoreExpirationAfter The expiration policy for a vector store. No
file_ids array A list of File IDs that the vector store should use. Useful for tools like file_search that can access files. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string The name of the vector store. No

OpenAI.DeleteFileResponse

Name Type Description Required Default
deleted boolean Yes
id string Yes
object enum
Possible values: file		 Yes

OpenAI.DeleteVectorStoreFileResponse

Name Type Description Required Default
deleted boolean Yes
id string Yes
object enum
Possible values: vector_store.file.deleted		 Yes

OpenAI.DeleteVectorStoreResponse

Name Type Description Required Default
deleted boolean Yes
id string Yes
object enum
Possible values: vector_store.deleted		 Yes

OpenAI.Embedding

Represents an embedding vector returned by embedding endpoint.

Name Type Description Required Default
embedding array or string Yes
index integer The index of the embedding in the list of embeddings. Yes
object enum The object type, which is always "embedding".
Possible values: embedding		 Yes

OpenAI.Eval

An Eval object with a data source config and testing criteria. An Eval represents a task to be done for your LLM integration. Like:

  • Improve the quality of my chatbot
  • See how well my chatbot handles customer support
  • Check if o4-mini is better at my usecase than gpt-4o
Name Type Description Required Default
created_at integer The Unix timestamp (in seconds) for when the eval was created. Yes
data_source_config object Yes
└─ type OpenAI.EvalDataSourceConfigType No
id string Unique identifier for the evaluation. Yes
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
name string The name of the evaluation. Yes
object enum The object type.
Possible values: eval		 Yes
testing_criteria array A list of testing criteria. Yes None

OpenAI.EvalApiError

An object representing an error response from the Eval API.

Name Type Description Required Default
code string The error code. Yes
message string The error message. Yes

OpenAI.EvalCompletionsRunDataSourceParams

A CompletionsRunDataSource object describing a model sampling configuration.

Name Type Description Required Default
input_messages object No
└─ item_reference string A reference to a variable in the item namespace. Ie, "item.input_trajectory" No
└─ template array A list of chat messages forming the prompt or context. May include variable references to the item namespace, ie {{item.name}}. No
└─ type enum The type of input messages. Always item_reference.
Possible values: item_reference		 No
model string The name of the model to use for generating completions (e.g. "o3-mini"). No
sampling_params AzureEvalAPICompletionsSamplingParams No
source object Yes
└─ content array The content of the jsonl file. No
└─ created_after integer An optional Unix timestamp to filter items created after this time. No
└─ created_before integer An optional Unix timestamp to filter items created before this time. No
└─ id string The identifier of the file. No
└─ limit integer An optional maximum number of items to return. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ model string An optional model to filter by (e.g., 'gpt-4o'). No
└─ type enum The type of source. Always stored_completions.
Possible values: stored_completions		 No
type enum The type of run data source. Always completions.
Possible values: completions		 Yes

OpenAI.EvalCustomDataSourceConfigParams

A CustomDataSourceConfig object that defines the schema for the data source used for the evaluation runs. This schema is used to define the shape of the data that will be:

  • Used to define your testing criteria and
  • What data is required when creating a run
Name Type Description Required Default
include_sample_schema boolean Whether the eval should expect you to populate the sample namespace (ie, by generating responses off of your data source) No False
item_schema object The json schema for each row in the data source. Yes
type enum The type of data source. Always custom.
Possible values: custom		 Yes

OpenAI.EvalCustomDataSourceConfigResource

A CustomDataSourceConfig which specifies the schema of your item and optionally sample namespaces. The response schema defines the shape of the data that will be:

  • Used to define your testing criteria and
  • What data is required when creating a run
Name Type Description Required Default
schema object The json schema for the run data source items.
Learn how to build JSON schemas here.		 Yes
type enum The type of data source. Always custom.
Possible values: custom		 Yes

OpenAI.EvalDataSourceConfigParams

Discriminator for OpenAI.EvalDataSourceConfigParams

This component uses the property type to discriminate between different types:

Type Value Schema
custom OpenAI.EvalCustomDataSourceConfigParams
logs OpenAI.EvalLogsDataSourceConfigParams
stored_completions OpenAI.EvalStoredCompletionsDataSourceConfigParams
Name Type Description Required Default
type OpenAI.EvalDataSourceConfigType Yes

OpenAI.EvalDataSourceConfigResource

Discriminator for OpenAI.EvalDataSourceConfigResource

This component uses the property type to discriminate between different types:

Type Value Schema
custom OpenAI.EvalCustomDataSourceConfigResource
stored_completions OpenAI.EvalStoredCompletionsDataSourceConfigResource
logs OpenAI.EvalLogsDataSourceConfigResource
Name Type Description Required Default
type OpenAI.EvalDataSourceConfigType Yes

OpenAI.EvalDataSourceConfigType

Property Value
Type string
Values custom
logs
stored_completions

OpenAI.EvalGraderLabelModelParams

A LabelModelGrader object which uses a model to assign labels to each item in the evaluation.

Name Type Description Required Default
input array A list of chat messages forming the prompt or context. May include variable references to the item namespace, ie {{item.name}}. Yes
labels array The labels to classify to each item in the evaluation. Yes
model string The model to use for the evaluation. Must support structured outputs. Yes
name string The name of the grader. Yes
passing_labels array The labels that indicate a passing result. Must be a subset of labels. Yes
type enum The object type, which is always label_model.
Possible values: label_model		 Yes

OpenAI.EvalGraderLabelModelResource

Name Type Description Required Default
input array Yes
labels array The labels to assign to each item in the evaluation. Yes
model string The model to use for the evaluation. Must support structured outputs. Yes
name string The name of the grader. Yes
passing_labels array The labels that indicate a passing result. Must be a subset of labels. Yes
type enum The object type, which is always label_model.
Possible values: label_model		 Yes

OpenAI.EvalGraderParams

Discriminator for OpenAI.EvalGraderParams

This component uses the property type to discriminate between different types:

Type Value Schema
label_model OpenAI.EvalGraderLabelModelParams
string_check OpenAI.EvalGraderStringCheckParams
text_similarity OpenAI.EvalGraderTextSimilarityParams
python OpenAI.EvalGraderPythonParams
score_model OpenAI.EvalGraderScoreModelParams
Name Type Description Required Default
type OpenAI.GraderType Yes

OpenAI.EvalGraderPythonParams

Name Type Description Required Default
image_tag string The image tag to use for the python script. No
name string The name of the grader. Yes
pass_threshold number The threshold for the score. No
source string The source code of the python script. Yes
type enum The object type, which is always python.
Possible values: python		 Yes

OpenAI.EvalGraderPythonResource

Name Type Description Required Default
image_tag string The image tag to use for the python script. No
name string The name of the grader. Yes
pass_threshold number The threshold for the score. No
source string The source code of the python script. Yes
type enum The object type, which is always python.
Possible values: python		 Yes

OpenAI.EvalGraderResource

Discriminator for OpenAI.EvalGraderResource

This component uses the property type to discriminate between different types:

Type Value Schema
label_model OpenAI.EvalGraderLabelModelResource
text_similarity OpenAI.EvalGraderTextSimilarityResource
python OpenAI.EvalGraderPythonResource
score_model OpenAI.EvalGraderScoreModelResource
Name Type Description Required Default
type OpenAI.GraderType Yes

OpenAI.EvalGraderScoreModelParams

Name Type Description Required Default
input array The input text. This may include template strings. Yes
model string The model to use for the evaluation. Yes
name string The name of the grader. Yes
pass_threshold number The threshold for the score. No
range array The range of the score. Defaults to [0, 1]. No
sampling_params The sampling parameters for the model. No
type enum The object type, which is always score_model.
Possible values: score_model		 Yes

OpenAI.EvalGraderScoreModelResource

Name Type Description Required Default
input array The input text. This may include template strings. Yes
model string The model to use for the evaluation. Yes
name string The name of the grader. Yes
pass_threshold number The threshold for the score. No
range array The range of the score. Defaults to [0, 1]. No
sampling_params The sampling parameters for the model. No
type enum The object type, which is always score_model.
Possible values: score_model		 Yes

OpenAI.EvalGraderStringCheckParams

Name Type Description Required Default
input string The input text. This may include template strings. Yes
name string The name of the grader. Yes
operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 Yes
reference string The reference text. This may include template strings. Yes
type enum The object type, which is always string_check.
Possible values: string_check		 Yes

OpenAI.EvalGraderTextSimilarityParams

Name Type Description Required Default
evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 Yes
input string The text being graded. Yes
name string The name of the grader. Yes
pass_threshold number The threshold for the score. Yes
reference string The text being graded against. Yes
type enum The type of grader.
Possible values: text_similarity		 Yes

OpenAI.EvalGraderTextSimilarityResource

Name Type Description Required Default
evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 Yes
input string The text being graded. Yes
name string The name of the grader. Yes
pass_threshold number The threshold for the score. Yes
reference string The text being graded against. Yes
type enum The type of grader.
Possible values: text_similarity		 Yes

OpenAI.EvalItem

A message input to the model with a role indicating instruction following hierarchy. Instructions given with the developer or system role take precedence over instructions given with the user role. Messages with the assistant role are presumed to have been generated by the model in previous interactions.

Name Type Description Required Default
content object Yes
└─ type OpenAI.EvalItemContentType No
role enum The role of the message input. One of user, assistant, system, or
developer.
Possible values: user, assistant, system, developer		 Yes
type enum The type of the message input. Always message.
Possible values: message		 No

OpenAI.EvalItemContent

Discriminator for OpenAI.EvalItemContent

This component uses the property type to discriminate between different types:

Type Value Schema
input_text OpenAI.EvalItemContentInputText
output_text OpenAI.EvalItemContentOutputText
Name Type Description Required Default
type OpenAI.EvalItemContentType Yes

OpenAI.EvalItemContentInputText

Name Type Description Required Default
text string Yes
type enum
Possible values: input_text		 Yes

OpenAI.EvalItemContentOutputText

Name Type Description Required Default
text string Yes
type enum
Possible values: output_text		 Yes

OpenAI.EvalItemContentType

Property Value
Type string
Values input_text
output_text

OpenAI.EvalJsonlRunDataSourceParams

A JsonlRunDataSource object with that specifies a JSONL file that matches the eval

Name Type Description Required Default
source object Yes
└─ content array The content of the jsonl file. No
└─ id string The identifier of the file. No
└─ type enum The type of jsonl source. Always file_id.
Possible values: file_id		 No
type enum The type of data source. Always jsonl.
Possible values: jsonl		 Yes

OpenAI.EvalList

An object representing a list of evals.

Name Type Description Required Default
data array An array of eval objects. Yes
first_id string The identifier of the first eval in the data array. Yes
has_more boolean Indicates whether there are more evals available. Yes
last_id string The identifier of the last eval in the data array. Yes
object enum The type of this object. It is always set to "list".
Possible values: list		 Yes

OpenAI.EvalLogsDataSourceConfigParams

A data source config which specifies the metadata property of your logs query. This is usually metadata like usecase=chatbot or prompt-version=v2, etc.

Name Type Description Required Default
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
type enum The type of data source. Always logs.
Possible values: logs		 Yes

OpenAI.EvalLogsDataSourceConfigResource

A LogsDataSourceConfig which specifies the metadata property of your logs query. This is usually metadata like usecase=chatbot or prompt-version=v2, etc. The schema returned by this data source config is used to defined what variables are available in your evals. item and sample are both defined when using this data source config.

Name Type Description Required Default
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
schema object The json schema for the run data source items.
Learn how to build JSON schemas here.		 Yes
type enum The type of data source. Always logs.
Possible values: logs		 Yes

OpenAI.EvalResponsesRunDataSourceParams

A ResponsesRunDataSource object describing a model sampling configuration.

Name Type Description Required Default
input_messages object No
└─ item_reference string A reference to a variable in the item namespace. Ie, "item.name" No
└─ template array A list of chat messages forming the prompt or context. May include variable references to the item namespace, ie {{item.name}}. No
└─ type enum The type of input messages. Always item_reference.
Possible values: item_reference		 No
model string The name of the model to use for generating completions (e.g. "o3-mini"). No
sampling_params AzureEvalAPIResponseSamplingParams No
source object Yes
└─ content array The content of the jsonl file. No
└─ created_after integer Only include items created after this timestamp (inclusive). This is a query parameter used to select responses. No
└─ created_before integer Only include items created before this timestamp (inclusive). This is a query parameter used to select responses. No
└─ id string The identifier of the file. No
└─ instructions_search string Optional string to search the 'instructions' field. This is a query parameter used to select responses. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ model string The name of the model to find responses for. This is a query parameter used to select responses. No
└─ reasoning_effort OpenAI.ReasoningEffort Optional reasoning effort parameter. This is a query parameter used to select responses. No
└─ temperature number Sampling temperature. This is a query parameter used to select responses. No
└─ tools array List of tool names. This is a query parameter used to select responses. No
└─ top_p number Nucleus sampling parameter. This is a query parameter used to select responses. No
└─ type enum The type of run data source. Always responses.
Possible values: responses		 No
└─ users array List of user identifiers. This is a query parameter used to select responses. No
type enum The type of run data source. Always responses.
Possible values: responses		 Yes

OpenAI.EvalRun

A schema representing an evaluation run.

Name Type Description Required Default
created_at integer Unix timestamp (in seconds) when the evaluation run was created. Yes
data_source object Yes
└─ type OpenAI.EvalRunDataSourceType No
error OpenAI.EvalApiError An object representing an error response from the Eval API. Yes
eval_id string The identifier of the associated evaluation. Yes
id string Unique identifier for the evaluation run. Yes
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
model string The model that is evaluated, if applicable. Yes
name string The name of the evaluation run. Yes
object enum The type of the object. Always "eval.run".
Possible values: eval.run		 Yes
per_model_usage array Usage statistics for each model during the evaluation run. Yes
per_testing_criteria_results array Results per testing criteria applied during the evaluation run. Yes
report_url string The URL to the rendered evaluation run report on the UI dashboard. Yes
result_counts object Counters summarizing the outcomes of the evaluation run. Yes
└─ errored integer Number of output items that resulted in an error. No
└─ failed integer Number of output items that failed to pass the evaluation. No
└─ passed integer Number of output items that passed the evaluation. No
└─ total integer Total number of executed output items. No
status string The status of the evaluation run. Yes

OpenAI.EvalRunDataContentSource

Discriminator for OpenAI.EvalRunDataContentSource

This component uses the property type to discriminate between different types:

Type Value Schema
file_id OpenAI.EvalRunFileIdDataContentSource
stored_completions OpenAI.EvalRunStoredCompletionsDataContentSource
responses OpenAI.EvalRunResponsesDataContentSource
Name Type Description Required Default
type OpenAI.EvalRunDataContentSourceType Yes

OpenAI.EvalRunDataContentSourceType

Property Value
Type string
Values file_id
file_content
stored_completions
responses

OpenAI.EvalRunDataSourceCompletionsResource

Name Type Description Required Default
type enum
Possible values: completions		 Yes

OpenAI.EvalRunDataSourceJsonlResource

Name Type Description Required Default
type enum
Possible values: jsonl		 Yes

OpenAI.EvalRunDataSourceParams

Discriminator for OpenAI.EvalRunDataSourceParams

This component uses the property type to discriminate between different types:

Type Value Schema
jsonl OpenAI.EvalJsonlRunDataSourceParams
completions OpenAI.EvalCompletionsRunDataSourceParams
responses OpenAI.EvalResponsesRunDataSourceParams
Name Type Description Required Default
type OpenAI.EvalRunDataSourceType Yes

OpenAI.EvalRunDataSourceResource

Name Type Description Required Default
type OpenAI.EvalRunDataSourceType Yes

OpenAI.EvalRunDataSourceResponsesResource

Name Type Description Required Default
type enum
Possible values: responses		 Yes

OpenAI.EvalRunDataSourceType

Property Value
Type string
Values jsonl
completions
responses

OpenAI.EvalRunFileContentDataContentSource

Name Type Description Required Default
content array The content of the jsonl file. Yes
type enum The type of jsonl source. Always file_content.
Possible values: file_content		 Yes

OpenAI.EvalRunFileIdDataContentSource

Name Type Description Required Default
id string The identifier of the file. Yes
type enum The type of jsonl source. Always file_id.
Possible values: file_id		 Yes

OpenAI.EvalRunList

An object representing a list of runs for an evaluation.

Name Type Description Required Default
data array An array of eval run objects. Yes
first_id string The identifier of the first eval run in the data array. Yes
has_more boolean Indicates whether there are more evals available. Yes
last_id string The identifier of the last eval run in the data array. Yes
object enum The type of this object. It is always set to "list".
Possible values: list		 Yes

OpenAI.EvalRunOutputItem

A schema representing an evaluation run output item.

Name Type Description Required Default
created_at integer Unix timestamp (in seconds) when the evaluation run was created. Yes
datasource_item object Details of the input data source item. Yes
datasource_item_id integer The identifier for the data source item. Yes
eval_id string The identifier of the evaluation group. Yes
id string Unique identifier for the evaluation run output item. Yes
object enum The type of the object. Always "eval.run.output_item".
Possible values: eval.run.output_item		 Yes
results array A list of results from the evaluation run. Yes
run_id string The identifier of the evaluation run associated with this output item. Yes
sample object A sample containing the input and output of the evaluation run. Yes
└─ error OpenAI.EvalApiError An object representing an error response from the Eval API. No
└─ finish_reason string The reason why the sample generation was finished. No
└─ input array An array of input messages. No
└─ max_completion_tokens integer The maximum number of tokens allowed for completion. No
└─ model string The model used for generating the sample. No
└─ output array An array of output messages. No
└─ seed integer The seed used for generating the sample. No
└─ temperature number The sampling temperature used. No
└─ top_p number The top_p value used for sampling. No
└─ usage object Token usage details for the sample. No
└─ cached_tokens integer The number of tokens retrieved from cache. No
└─ completion_tokens integer The number of completion tokens generated. No
└─ prompt_tokens integer The number of prompt tokens used. No
└─ total_tokens integer The total number of tokens used. No
status string The status of the evaluation run. Yes

OpenAI.EvalRunOutputItemList

An object representing a list of output items for an evaluation run.

Name Type Description Required Default
data array An array of eval run output item objects. Yes
first_id string The identifier of the first eval run output item in the data array. Yes
has_more boolean Indicates whether there are more eval run output items available. Yes
last_id string The identifier of the last eval run output item in the data array. Yes
object enum The type of this object. It is always set to "list".
Possible values: list		 Yes

OpenAI.EvalRunResponsesDataContentSource

A EvalResponsesSource object describing a run data source configuration.

Name Type Description Required Default
created_after integer Only include items created after this timestamp (inclusive). This is a query parameter used to select responses. No
created_before integer Only include items created before this timestamp (inclusive). This is a query parameter used to select responses. No
instructions_search string Optional string to search the 'instructions' field. This is a query parameter used to select responses. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
model string The name of the model to find responses for. This is a query parameter used to select responses. No
reasoning_effort object reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
temperature number Sampling temperature. This is a query parameter used to select responses. No
tools array List of tool names. This is a query parameter used to select responses. No
top_p number Nucleus sampling parameter. This is a query parameter used to select responses. No
type enum The type of run data source. Always responses.
Possible values: responses		 Yes
users array List of user identifiers. This is a query parameter used to select responses. No

OpenAI.EvalRunStoredCompletionsDataContentSource

A StoredCompletionsRunDataSource configuration describing a set of filters

Name Type Description Required Default
created_after integer An optional Unix timestamp to filter items created after this time. No
created_before integer An optional Unix timestamp to filter items created before this time. No
limit integer An optional maximum number of items to return. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
model string An optional model to filter by (e.g., 'gpt-4o'). No
type enum The type of source. Always stored_completions.
Possible values: stored_completions		 Yes

OpenAI.EvalStoredCompletionsDataSourceConfigParams

Deprecated in favor of LogsDataSourceConfig.

Name Type Description Required Default
metadata object Metadata filters for the stored completions data source. No
type enum The type of data source. Always stored_completions.
Possible values: stored_completions		 Yes

OpenAI.EvalStoredCompletionsDataSourceConfigResource

Deprecated in favor of LogsDataSourceConfig.

Name Type Description Required Default
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
schema object The json schema for the run data source items.
Learn how to build JSON schemas here.		 Yes
type enum The type of data source. Always stored_completions.
Possible values: stored_completions		 Yes

OpenAI.FileSearchTool

A tool that searches for relevant content from uploaded files.

Name Type Description Required Default
filters object No
max_num_results integer The maximum number of results to return. This number should be between 1 and 50 inclusive. No
ranking_options object No
└─ ranker enum The ranker to use for the file search.
Possible values: auto, default-2024-11-15		 No
└─ score_threshold number The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results. No
type enum The type of the file search tool. Always file_search.
Possible values: file_search		 Yes
vector_store_ids array The IDs of the vector stores to search. Yes

OpenAI.FileSearchToolCallItemParam

The results of a file search tool call.

Name Type Description Required Default
queries array The queries used to search for files. Yes
results array The results of the file search tool call. No
type enum
Possible values: file_search_call		 Yes

OpenAI.FileSearchToolCallItemResource

The results of a file search tool call.

Name Type Description Required Default
queries array The queries used to search for files. Yes
results array The results of the file search tool call. No
status enum The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Possible values: in_progress, searching, completed, incomplete, failed		 Yes
type enum
Possible values: file_search_call		 Yes

OpenAI.Filters

Name Type Description Required Default
filters array Array of filters to combine. Items can be ComparisonFilter or CompoundFilter. Yes
key string The key to compare against the value. Yes
type enum Type of operation: and or or.
Possible values: and, or		 Yes
value string or number or boolean The value to compare against the attribute key; supports string, number, or boolean types. Yes

OpenAI.FineTuneDPOHyperparameters

The hyperparameters used for the DPO fine-tuning job.

Name Type Description Required Default
batch_size enum
Possible values: auto		 No
beta enum
Possible values: auto		 No
learning_rate_multiplier enum
Possible values: auto		 No
n_epochs enum
Possible values: auto		 No

OpenAI.FineTuneDPOMethod

Configuration for the DPO fine-tuning method.

Name Type Description Required Default
hyperparameters OpenAI.FineTuneDPOHyperparameters The hyperparameters used for the DPO fine-tuning job. No

OpenAI.FineTuneMethod

The method used for fine-tuning.

Name Type Description Required Default
dpo OpenAI.FineTuneDPOMethod Configuration for the DPO fine-tuning method. No
reinforcement AzureFineTuneReinforcementMethod No
supervised OpenAI.FineTuneSupervisedMethod Configuration for the supervised fine-tuning method. No
type enum The type of method. Is either supervised, dpo, or reinforcement.
Possible values: supervised, dpo, reinforcement		 Yes

OpenAI.FineTuneReinforcementHyperparameters

The hyperparameters used for the reinforcement fine-tuning job.

Name Type Description Required Default
batch_size enum
Possible values: auto		 No
compute_multiplier enum
Possible values: auto		 No
eval_interval enum
Possible values: auto		 No
eval_samples enum
Possible values: auto		 No
learning_rate_multiplier enum
Possible values: auto		 No
n_epochs enum
Possible values: auto		 No
reasoning_effort enum Level of reasoning effort.
Possible values: default, low, medium, high		 No

OpenAI.FineTuneSupervisedHyperparameters

The hyperparameters used for the fine-tuning job.

Name Type Description Required Default
batch_size enum
Possible values: auto		 No
learning_rate_multiplier enum
Possible values: auto		 No
n_epochs enum
Possible values: auto		 No

OpenAI.FineTuneSupervisedMethod

Configuration for the supervised fine-tuning method.

Name Type Description Required Default
hyperparameters OpenAI.FineTuneSupervisedHyperparameters The hyperparameters used for the fine-tuning job. No

OpenAI.FineTuningIntegration

Discriminator for OpenAI.FineTuningIntegration

This component uses the property type to discriminate between different types:

Type Value Schema
wandb OpenAI.FineTuningIntegrationWandb
Name Type Description Required Default
type string (see valid models below) Yes

OpenAI.FineTuningIntegrationWandb

Name Type Description Required Default
type enum The type of the integration being enabled for the fine-tuning job
Possible values: wandb		 Yes
wandb object The settings for your integration with Weights and Biases. This payload specifies the project that
metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags
to your run, and set a default entity (team, username, etc) to be associated with your run.		 Yes
└─ entity string The entity to use for the run. This allows you to set the team or username of the WandB user that you would
like associated with the run. If not set, the default entity for the registered WandB API key is used.		 No
└─ name string A display name to set for the run. If not set, we will use the Job ID as the name. No
└─ project string The name of the project that the new run will be created under. No
└─ tags array A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some
default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".		 No

OpenAI.FineTuningJob

The fine_tuning.job object represents a fine-tuning job that has been created through the API.

Name Type Description Required Default
created_at integer The Unix timestamp (in seconds) for when the fine-tuning job was created. Yes
error object For fine-tuning jobs that have failed, this will contain more information on the cause of the failure. Yes
└─ code string A machine-readable error code. No
└─ message string A human-readable error message. No
└─ param string The parameter that was invalid, usually training_file or validation_file. This field will be null if the failure was not parameter-specific. No
estimated_finish integer The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running. No
fine_tuned_model string The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running. Yes
finished_at integer The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running. Yes
hyperparameters object The hyperparameters used for the fine-tuning job. This value will only be returned when running supervised jobs. Yes
└─ batch_size enum
Possible values: auto		 No
└─ learning_rate_multiplier enum
Possible values: auto		 No
└─ n_epochs enum
Possible values: auto		 No
id string The object identifier, which can be referenced in the API endpoints. Yes
integrations array A list of integrations to enable for this fine-tuning job. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
method OpenAI.FineTuneMethod The method used for fine-tuning. No
model string The base model that is being fine-tuned. Yes
object enum The object type, which is always "fine_tuning.job".
Possible values: fine_tuning.job		 Yes
organization_id string The organization that owns the fine-tuning job. Yes
result_files array The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API. Yes
seed integer The seed used for the fine-tuning job. Yes
status enum The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.
Possible values: validating_files, queued, running, succeeded, failed, cancelled		 Yes
trained_tokens integer The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running. Yes
training_file string The file ID used for training. You can retrieve the training data with the Files API. Yes
user_provided_suffix string The descriptive suffix applied to the job, as specified in the job creation request. No
validation_file string The file ID used for validation. You can retrieve the validation results with the Files API. Yes

OpenAI.FineTuningJobCheckpoint

The fine_tuning.job.checkpoint object represents a model checkpoint for a fine-tuning job that is ready to use.

Name Type Description Required Default
created_at integer The Unix timestamp (in seconds) for when the checkpoint was created. Yes
fine_tuned_model_checkpoint string The name of the fine-tuned checkpoint model that is created. Yes
fine_tuning_job_id string The name of the fine-tuning job that this checkpoint was created from. Yes
id string The checkpoint identifier, which can be referenced in the API endpoints. Yes
metrics object Metrics at the step number during the fine-tuning job. Yes
└─ full_valid_loss number No
└─ full_valid_mean_token_accuracy number No
└─ step number No
└─ train_loss number No
└─ train_mean_token_accuracy number No
└─ valid_loss number No
└─ valid_mean_token_accuracy number No
object enum The object type, which is always "fine_tuning.job.checkpoint".
Possible values: fine_tuning.job.checkpoint		 Yes
step_number integer The step number that the checkpoint was created at. Yes

OpenAI.FineTuningJobEvent

Fine-tuning job event object

Name Type Description Required Default
created_at integer The Unix timestamp (in seconds) for when the fine-tuning job was created. Yes
data The data associated with the event. No
id string The object identifier. Yes
level enum The log level of the event.
Possible values: info, warn, error		 Yes
message string The message of the event. Yes
object enum The object type, which is always "fine_tuning.job.event".
Possible values: fine_tuning.job.event		 Yes
type enum The type of event.
Possible values: message, metrics		 No

OpenAI.FunctionObject

Name Type Description Required Default
description string A description of what the function does, used by the model to choose when and how to call the function. No
name string The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. Yes
parameters The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

Omitting parameters defines a function with an empty parameter list.		 No
strict boolean Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the parameters field. Only a subset of JSON Schema is supported when strict is true. Learn more about Structured Outputs in the function calling guide. No False

OpenAI.FunctionTool

Defines a function in your own code the model can choose to call. Learn more about function calling.

Name Type Description Required Default
description string A description of the function. Used by the model to determine whether or not to call the function. No
name string The name of the function to call. Yes
parameters A JSON schema object describing the parameters of the function. Yes
strict boolean Whether to enforce strict parameter validation. Default true. Yes
type enum The type of the function tool. Always function.
Possible values: function		 Yes

OpenAI.FunctionToolCallItemParam

A tool call to run a function. See the function calling guide for more information.

Name Type Description Required Default
arguments string A JSON string of the arguments to pass to the function. Yes
call_id string The unique ID of the function tool call generated by the model. Yes
name string The name of the function to run. Yes
type enum
Possible values: function_call		 Yes

OpenAI.FunctionToolCallItemResource

A tool call to run a function. See the function calling guide for more information.

Name Type Description Required Default
arguments string A JSON string of the arguments to pass to the function. Yes
call_id string The unique ID of the function tool call generated by the model. Yes
name string The name of the function to run. Yes
status enum The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Possible values: in_progress, completed, incomplete		 Yes
type enum
Possible values: function_call		 Yes

OpenAI.FunctionToolCallOutputItemParam

The output of a function tool call.

Name Type Description Required Default
call_id string The unique ID of the function tool call generated by the model. Yes
output string A JSON string of the output of the function tool call. Yes
type enum
Possible values: function_call_output		 Yes

OpenAI.FunctionToolCallOutputItemResource

The output of a function tool call.

Name Type Description Required Default
call_id string The unique ID of the function tool call generated by the model. Yes
output string A JSON string of the output of the function tool call. Yes
status enum The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Possible values: in_progress, completed, incomplete		 Yes
type enum
Possible values: function_call_output		 Yes

OpenAI.Grader

Discriminator for OpenAI.Grader

This component uses the property type to discriminate between different types:

Type Value Schema
label_model OpenAI.GraderLabelModel
text_similarity OpenAI.GraderTextSimilarity
python OpenAI.GraderPython
score_model OpenAI.GraderScoreModel
multi OpenAI.GraderMulti
Name Type Description Required Default
type OpenAI.GraderType Yes

OpenAI.GraderLabelModel

A LabelModelGrader object which uses a model to assign labels to each item in the evaluation.

Name Type Description Required Default
input array Yes
labels array The labels to assign to each item in the evaluation. Yes
model string The model to use for the evaluation. Must support structured outputs. Yes
name string The name of the grader. Yes
passing_labels array The labels that indicate a passing result. Must be a subset of labels. Yes
type enum The object type, which is always label_model.
Possible values: label_model		 Yes

OpenAI.GraderMulti

A MultiGrader object combines the output of multiple graders to produce a single score.

Name Type Description Required Default
calculate_output string A formula to calculate the output based on grader results. Yes
graders object Yes
name string The name of the grader. Yes
type enum The object type, which is always multi.
Possible values: multi		 Yes

OpenAI.GraderPython

A PythonGrader object that runs a python script on the input.

Name Type Description Required Default
image_tag string The image tag to use for the python script. No
name string The name of the grader. Yes
source string The source code of the python script. Yes
type enum The object type, which is always python.
Possible values: python		 Yes

OpenAI.GraderScoreModel

A ScoreModelGrader object that uses a model to assign a score to the input.

Name Type Description Required Default
input array The input text. This may include template strings. Yes
model string The model to use for the evaluation. Yes
name string The name of the grader. Yes
range array The range of the score. Defaults to [0, 1]. No
sampling_params The sampling parameters for the model. No
type enum The object type, which is always score_model.
Possible values: score_model		 Yes

OpenAI.GraderStringCheck

A StringCheckGrader object that performs a string comparison between input and reference using a specified operation.

Name Type Description Required Default
input string The input text. This may include template strings. Yes
name string The name of the grader. Yes
operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 Yes
reference string The reference text. This may include template strings. Yes
type enum The object type, which is always string_check.
Possible values: string_check		 Yes

OpenAI.GraderTextSimilarity

A TextSimilarityGrader object which grades text based on similarity metrics.

Name Type Description Required Default
evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 Yes
input string The text being graded. Yes
name string The name of the grader. Yes
reference string The text being graded against. Yes
type enum The type of grader.
Possible values: text_similarity		 Yes

OpenAI.GraderType

Property Value
Type string
Values string_check
text_similarity
score_model
label_model
python
multi

OpenAI.ImageGenTool

A tool that generates images using a model like gpt-image-1.

Name Type Description Required Default
background enum Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Possible values: transparent, opaque, auto		 No
input_image_mask object Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).		 No
└─ file_id string File ID for the mask image. No
└─ image_url string Base64-encoded mask image. No
model enum The image generation model to use. Default: gpt-image-1.
Possible values: gpt-image-1		 No
moderation enum Moderation level for the generated image. Default: auto.
Possible values: auto, low		 No
output_compression integer Compression level for the output image. Default: 100. No 100
output_format enum The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Possible values: png, webp, jpeg		 No
partial_images integer Number of partial images to generate in streaming mode, from 0 (default value) to 3. No 0
quality enum The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
Possible values: low, medium, high, auto		 No
size enum The size of the generated image. One of 1024x1024, 1024x1536,
1536x1024, or auto. Default: auto.
Possible values: 1024x1024, 1024x1536, 1536x1024, auto		 No
type enum The type of the image generation tool. Always image_generation.
Possible values: image_generation		 Yes

OpenAI.ImageGenToolCallItemParam

An image generation request made by the model.

Name Type Description Required Default
result string The generated image encoded in base64. Yes
type enum
Possible values: image_generation_call		 Yes

OpenAI.ImageGenToolCallItemResource

An image generation request made by the model.

Name Type Description Required Default
result string The generated image encoded in base64. Yes
status enum
Possible values: in_progress, completed, generating, failed		 Yes
type enum
Possible values: image_generation_call		 Yes

OpenAI.ImplicitUserMessage

Name Type Description Required Default
content string or array Yes

OpenAI.Includable

Specify additional output data to include in the model response. Currently supported values are:

  • code_interpreter_call.outputs: Includes the outputs of python code execution in code interpreter tool call items.
  • computer_call_output.output.image_url: Include image urls from the computer call output.
  • file_search_call.results: Include the search results of the file search tool call.
  • message.input_image.image_url: Include image urls from the input message.
  • message.output_text.logprobs: Include logprobs with assistant messages.
  • reasoning.encrypted_content: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the store parameter is set to false, or when an organization is enrolled in the zero data retention program).
Property Value
Description Specify additional output data to include in the model response. Currently
supported values are:
- code_interpreter_call.outputs: Includes the outputs of python code execution
in code interpreter tool call items.
- computer_call_output.output.image_url: Include image urls from the computer call output.
- file_search_call.results: Include the search results of
the file search tool call.
- message.input_image.image_url: Include image urls from the input message.
- message.output_text.logprobs: Include logprobs with assistant messages.
- reasoning.encrypted_content: Includes an encrypted version of reasoning
tokens in reasoning item outputs. This enables reasoning items to be used in
multi-turn conversations when using the Responses API statelessly (like
when the store parameter is set to false, or when an organization is
enrolled in the zero data retention program).
Type string
Values code_interpreter_call.outputs
computer_call_output.output.image_url
file_search_call.results
message.input_image.image_url
message.output_text.logprobs
reasoning.encrypted_content

OpenAI.ItemContent

Discriminator for OpenAI.ItemContent

This component uses the property type to discriminate between different types:

Type Value Schema
input_audio OpenAI.ItemContentInputAudio
output_audio OpenAI.ItemContentOutputAudio
refusal OpenAI.ItemContentRefusal
input_text OpenAI.ItemContentInputText
input_image OpenAI.ItemContentInputImage
input_file OpenAI.ItemContentInputFile
output_text OpenAI.ItemContentOutputText
Name Type Description Required Default
type OpenAI.ItemContentType Multi-modal input and output contents. Yes

OpenAI.ItemContentInputAudio

An audio input to the model.

Name Type Description Required Default
data string Base64-encoded audio data. Yes
format enum The format of the audio data. Currently supported formats are mp3 and
wav.
Possible values: mp3, wav		 Yes
type enum The type of the input item. Always input_audio.
Possible values: input_audio		 Yes

OpenAI.ItemContentInputFile

A file input to the model.

Name Type Description Required Default
file_data string The content of the file to be sent to the model. No
file_id string The ID of the file to be sent to the model. No
filename string The name of the file to be sent to the model. No
type enum The type of the input item. Always input_file.
Possible values: input_file		 Yes

OpenAI.ItemContentInputImage

An image input to the model.

Name Type Description Required Default
detail enum The detail level of the image to be sent to the model. One of high, low, or auto. Defaults to auto.
Possible values: low, high, auto		 No
file_id string The ID of the file to be sent to the model. No
image_url string The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. No
type enum The type of the input item. Always input_image.
Possible values: input_image		 Yes

OpenAI.ItemContentInputText

A text input to the model.

Name Type Description Required Default
text string The text input to the model. Yes
type enum The type of the input item. Always input_text.
Possible values: input_text		 Yes

OpenAI.ItemContentOutputAudio

An audio output from the model.

Name Type Description Required Default
data string Base64-encoded audio data from the model. Yes
transcript string The transcript of the audio data from the model. Yes
type enum The type of the output audio. Always output_audio.
Possible values: output_audio		 Yes

OpenAI.ItemContentOutputText

A text output from the model.

Name Type Description Required Default
annotations array The annotations of the text output. Yes
logprobs array No
text string The text output from the model. Yes
type enum The type of the output text. Always output_text.
Possible values: output_text		 Yes

OpenAI.ItemContentRefusal

A refusal from the model.

Name Type Description Required Default
refusal string The refusal explanationfrom the model. Yes
type enum The type of the refusal. Always refusal.
Possible values: refusal		 Yes

OpenAI.ItemContentType

Multi-modal input and output contents.

Property Value
Description Multi-modal input and output contents.
Type string
Values input_text
input_audio
input_image
input_file
output_text
output_audio
refusal

OpenAI.ItemParam

Content item used to generate a response.

Discriminator for OpenAI.ItemParam

This component uses the property type to discriminate between different types:

Type Value Schema
file_search_call OpenAI.FileSearchToolCallItemParam
computer_call OpenAI.ComputerToolCallItemParam
computer_call_output OpenAI.ComputerToolCallOutputItemParam
web_search_call OpenAI.WebSearchToolCallItemParam
function_call OpenAI.FunctionToolCallItemParam
function_call_output OpenAI.FunctionToolCallOutputItemParam
reasoning OpenAI.ReasoningItemParam
item_reference OpenAI.ItemReferenceItemParam
image_generation_call OpenAI.ImageGenToolCallItemParam
code_interpreter_call OpenAI.CodeInterpreterToolCallItemParam
local_shell_call OpenAI.LocalShellToolCallItemParam
local_shell_call_output OpenAI.LocalShellToolCallOutputItemParam
mcp_list_tools OpenAI.MCPListToolsItemParam
mcp_approval_request OpenAI.MCPApprovalRequestItemParam
mcp_approval_response OpenAI.MCPApprovalResponseItemParam
mcp_call OpenAI.MCPCallItemParam
message OpenAI.ResponsesMessageItemParam
Name Type Description Required Default
type OpenAI.ItemType Yes

OpenAI.ItemReferenceItemParam

An internal identifier for an item to reference.

Name Type Description Required Default
id string The service-originated ID of the previously generated response item being referenced. Yes
type enum
Possible values: item_reference		 Yes

OpenAI.ItemResource

Content item used to generate a response.

Discriminator for OpenAI.ItemResource

This component uses the property type to discriminate between different types:

Type Value Schema
file_search_call OpenAI.FileSearchToolCallItemResource
computer_call OpenAI.ComputerToolCallItemResource
computer_call_output OpenAI.ComputerToolCallOutputItemResource
web_search_call OpenAI.WebSearchToolCallItemResource
function_call OpenAI.FunctionToolCallItemResource
function_call_output OpenAI.FunctionToolCallOutputItemResource
reasoning OpenAI.ReasoningItemResource
image_generation_call OpenAI.ImageGenToolCallItemResource
code_interpreter_call OpenAI.CodeInterpreterToolCallItemResource
local_shell_call OpenAI.LocalShellToolCallItemResource
local_shell_call_output OpenAI.LocalShellToolCallOutputItemResource
mcp_list_tools OpenAI.MCPListToolsItemResource
mcp_approval_request OpenAI.MCPApprovalRequestItemResource
mcp_approval_response OpenAI.MCPApprovalResponseItemResource
mcp_call OpenAI.MCPCallItemResource
message OpenAI.ResponsesMessageItemResource
Name Type Description Required Default
id string Yes
type OpenAI.ItemType Yes

OpenAI.ItemType

Property Value
Type string
Values message
file_search_call
function_call
function_call_output
computer_call
computer_call_output
web_search_call
reasoning
item_reference
image_generation_call
code_interpreter_call
local_shell_call
local_shell_call_output
mcp_list_tools
mcp_approval_request
mcp_approval_response
mcp_call

OpenAI.ListFineTuningJobCheckpointsResponse

Name Type Description Required Default
data array Yes
first_id string No
has_more boolean Yes
last_id string No
object enum
Possible values: list		 Yes

OpenAI.ListFineTuningJobEventsResponse

Name Type Description Required Default
data array Yes
has_more boolean Yes
object enum
Possible values: list		 Yes

OpenAI.ListModelsResponse

Name Type Description Required Default
data array Yes
object enum
Possible values: list		 Yes

OpenAI.ListPaginatedFineTuningJobsResponse

Name Type Description Required Default
data array Yes
has_more boolean Yes
object enum
Possible values: list		 Yes

OpenAI.ListVectorStoreFilesFilter

Property Value
Type string
Values in_progress
completed
failed
cancelled

OpenAI.ListVectorStoreFilesResponse

Name Type Description Required Default
data array Yes
first_id string Yes
has_more boolean Yes
last_id string Yes
object enum
Possible values: list		 Yes

OpenAI.ListVectorStoresResponse

Name Type Description Required Default
data array Yes
first_id string Yes
has_more boolean Yes
last_id string Yes
object enum
Possible values: list		 Yes

OpenAI.LocalShellExecAction

Execute a shell command on the server.

Name Type Description Required Default
command array The command to run. Yes
env object Environment variables to set for the command. Yes
timeout_ms integer Optional timeout in milliseconds for the command. No
type enum The type of the local shell action. Always exec.
Possible values: exec		 Yes
user string Optional user to run the command as. No
working_directory string Optional working directory to run the command in. No

OpenAI.LocalShellTool

A tool that allows the model to execute shell commands in a local environment.

Name Type Description Required Default
type enum The type of the local shell tool. Always local_shell.
Possible values: local_shell		 Yes

OpenAI.LocalShellToolCallItemParam

A tool call to run a command on the local shell.

Name Type Description Required Default
action OpenAI.LocalShellExecAction Execute a shell command on the server. Yes
call_id string The unique ID of the local shell tool call generated by the model. Yes
type enum
Possible values: local_shell_call		 Yes

OpenAI.LocalShellToolCallItemResource

A tool call to run a command on the local shell.

Name Type Description Required Default
action OpenAI.LocalShellExecAction Execute a shell command on the server. Yes
call_id string The unique ID of the local shell tool call generated by the model. Yes
status enum
Possible values: in_progress, completed, incomplete		 Yes
type enum
Possible values: local_shell_call		 Yes

OpenAI.LocalShellToolCallOutputItemParam

The output of a local shell tool call.

Name Type Description Required Default
output string A JSON string of the output of the local shell tool call. Yes
type enum
Possible values: local_shell_call_output		 Yes

OpenAI.LocalShellToolCallOutputItemResource

The output of a local shell tool call.

Name Type Description Required Default
output string A JSON string of the output of the local shell tool call. Yes
status enum
Possible values: in_progress, completed, incomplete		 Yes
type enum
Possible values: local_shell_call_output		 Yes

OpenAI.Location

Discriminator for OpenAI.Location

This component uses the property type to discriminate between different types:

Type Value Schema
approximate OpenAI.ApproximateLocation
Name Type Description Required Default
type OpenAI.LocationType Yes

OpenAI.LocationType

Property Value
Type string
Values approximate

OpenAI.LogProb

The log probability of a token.

Name Type Description Required Default
bytes array Yes
logprob number Yes
token string Yes
top_logprobs array Yes

OpenAI.MCPApprovalRequestItemParam

A request for human approval of a tool invocation.

Name Type Description Required Default
arguments string A JSON string of arguments for the tool. Yes
name string The name of the tool to run. Yes
server_label string The label of the MCP server making the request. Yes
type enum
Possible values: mcp_approval_request		 Yes

OpenAI.MCPApprovalRequestItemResource

A request for human approval of a tool invocation.

Name Type Description Required Default
arguments string A JSON string of arguments for the tool. Yes
name string The name of the tool to run. Yes
server_label string The label of the MCP server making the request. Yes
type enum
Possible values: mcp_approval_request		 Yes

OpenAI.MCPApprovalResponseItemParam

A response to an MCP approval request.

Name Type Description Required Default
approval_request_id string The ID of the approval request being answered. Yes
approve boolean Whether the request was approved. Yes
reason string Optional reason for the decision. No
type enum
Possible values: mcp_approval_response		 Yes

OpenAI.MCPApprovalResponseItemResource

A response to an MCP approval request.

Name Type Description Required Default
approval_request_id string The ID of the approval request being answered. Yes
approve boolean Whether the request was approved. Yes
reason string Optional reason for the decision. No
type enum
Possible values: mcp_approval_response		 Yes

OpenAI.MCPCallItemParam

An invocation of a tool on an MCP server.

Name Type Description Required Default
arguments string A JSON string of the arguments passed to the tool. Yes
error string The error from the tool call, if any. No
name string The name of the tool that was run. Yes
output string The output from the tool call. No
server_label string The label of the MCP server running the tool. Yes
type enum
Possible values: mcp_call		 Yes

OpenAI.MCPCallItemResource

An invocation of a tool on an MCP server.

Name Type Description Required Default
arguments string A JSON string of the arguments passed to the tool. Yes
error string The error from the tool call, if any. No
name string The name of the tool that was run. Yes
output string The output from the tool call. No
server_label string The label of the MCP server running the tool. Yes
type enum
Possible values: mcp_call		 Yes

OpenAI.MCPListToolsItemParam

A list of tools available on an MCP server.

Name Type Description Required Default
error string Error message if the server could not list tools. No
server_label string The label of the MCP server. Yes
tools array The tools available on the server. Yes
type enum
Possible values: mcp_list_tools		 Yes

OpenAI.MCPListToolsItemResource

A list of tools available on an MCP server.

Name Type Description Required Default
error string Error message if the server could not list tools. No
server_label string The label of the MCP server. Yes
tools array The tools available on the server. Yes
type enum
Possible values: mcp_list_tools		 Yes

OpenAI.MCPListToolsTool

A tool available on an MCP server.

Name Type Description Required Default
annotations Additional annotations about the tool. No
description string The description of the tool. No
input_schema The JSON schema describing the tool's input. Yes
name string The name of the tool. Yes

OpenAI.MCPTool

Give the model access to additional tools via remote Model Context Protocol (MCP) servers.

Name Type Description Required Default
allowed_tools object No
└─ tool_names array List of allowed tool names. No
headers object Optional HTTP headers to send to the MCP server. Use for authentication
or other purposes.		 No
require_approval object (see valid models below) Specify which of the MCP server's tools require approval. No
server_label string A label for this MCP server, used to identify it in tool calls. Yes
server_url string The URL for the MCP server. Yes
type enum The type of the MCP tool. Always mcp.
Possible values: mcp		 Yes

OpenAI.MetadataPropertyForRequest

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

Name Type Description Required Default
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No

OpenAI.Model

Describes an OpenAI model offering that can be used with the API.

Name Type Description Required Default
created integer The Unix timestamp (in seconds) when the model was created. Yes
id string The model identifier, which can be referenced in the API endpoints. Yes
object enum The object type, which is always "model".
Possible values: model		 Yes
owned_by string The organization that owns the model. Yes

OpenAI.OtherChunkingStrategyResponseParam

This is returned when the chunking strategy is unknown. Typically, this is because the file was indexed before the chunking_strategy concept was introduced in the API.

Name Type Description Required Default
type enum Always other.
Possible values: other		 Yes

OpenAI.ParallelToolCalls

Whether to enable parallel function calling during tool use.

Type: boolean

OpenAI.Prompt

Reference to a prompt template and its variables.

Name Type Description Required Default
id string The unique identifier of the prompt template to use. Yes
variables object Optional map of values to substitute in for variables in your
prompt. The substitution values can either be strings, or other
Response input types like images or files.		 No
version string Optional version of the prompt template. No

OpenAI.RankingOptions

Name Type Description Required Default
ranker enum The ranker to use for the file search.
Possible values: auto, default-2024-11-15		 No
score_threshold number The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results. No

OpenAI.Reasoning

reasoning models only

Configuration options for reasoning models.

Name Type Description Required Default
effort object reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
generate_summary enum Deprecated: use summary instead.

A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
summary enum A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No

OpenAI.ReasoningEffort

reasoning models only

Constrains effort on reasoning for reasoning models. Currently supported values are low, medium, and high. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.

Property Value
Description reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.
Type string
Values low
medium
high

OpenAI.ReasoningItemParam

A description of the chain of thought used by a reasoning model while generating a response. Be sure to include these items in your input to the Responses API for subsequent turns of a conversation if you are manually managing context.

Name Type Description Required Default
encrypted_content string The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.		 No
summary array Reasoning text contents. Yes
type enum
Possible values: reasoning		 Yes

OpenAI.ReasoningItemResource

A description of the chain of thought used by a reasoning model while generating a response. Be sure to include these items in your input to the Responses API for subsequent turns of a conversation if you are manually managing context.

Name Type Description Required Default
encrypted_content string The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.		 No
summary array Reasoning text contents. Yes
type enum
Possible values: reasoning		 Yes

OpenAI.ReasoningItemSummaryPart

Discriminator for OpenAI.ReasoningItemSummaryPart

This component uses the property type to discriminate between different types:

Type Value Schema
summary_text OpenAI.ReasoningItemSummaryTextPart
Name Type Description Required Default
type OpenAI.ReasoningItemSummaryPartType Yes

OpenAI.ReasoningItemSummaryPartType

Property Value
Type string
Values summary_text

OpenAI.ReasoningItemSummaryTextPart

Name Type Description Required Default
text string Yes
type enum
Possible values: summary_text		 Yes

OpenAI.Response

Name Type Description Required Default
background boolean Whether to run the model response in the background.
Learn more.		 No False
created_at integer Unix timestamp (in seconds) of when this Response was created. Yes
error object An error object returned when the model fails to generate a Response. Yes
└─ code OpenAI.ResponseErrorCode The error code for the response. No
└─ message string A human-readable description of the error. No
id string Unique identifier for this Response. Yes
incomplete_details object Details about why the response is incomplete. Yes
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
instructions string or array Yes
max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
object enum The object type of this resource - always set to response.
Possible values: response		 Yes
output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 Yes
output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. Yes True
previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
prompt object Reference to a prompt template and its variables.
 No
└─ id string The unique identifier of the prompt template to use. No
└─ variables OpenAI.ResponsePromptVariables Optional map of values to substitute in for variables in your
prompt. The substitution values can either be strings, or other
Response input types like images or files.		 No
└─ version string Optional version of the prompt template. No
reasoning object reasoning models only

Configuration options for
reasoning models.		 No
└─ effort OpenAI.ReasoningEffort reasoning models only

Constrains effort on reasoning for
reasoning models.
Currently supported values are low, medium, and high. Reducing
reasoning effort can result in faster responses and fewer tokens used
on reasoning in a response.		 No
└─ generate_summary enum Deprecated: use summary instead.

A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
└─ summary enum A summary of the reasoning performed by the model. This can be
useful for debugging and understanding the model's reasoning process.
One of auto, concise, or detailed.
Possible values: auto, concise, detailed		 No
status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 Yes
text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
tool_choice object Controls which (if any) tool is called by the model.

none means the model will not call any tool and instead generates a message.

auto means the model can pick between generating a message or calling one or
more tools.

required means the model must call one or more tools.		 No
└─ type OpenAI.ToolChoiceObjectType Indicates that the model should use a built-in tool to generate a response.. No
tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 Yes
truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Yes

OpenAI.ResponseCodeInterpreterCallCodeDeltaEvent

Emitted when a partial code snippet is streamed by the code interpreter.

Name Type Description Required Default
delta string The partial code snippet being streamed by the code interpreter. Yes
item_id string The unique identifier of the code interpreter tool call item. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item in the response for which the code is being streamed. Yes
type enum The type of the event. Always response.code_interpreter_call_code.delta.
Possible values: response.code_interpreter_call_code.delta		 Yes

OpenAI.ResponseCodeInterpreterCallCodeDoneEvent

Emitted when the code snippet is finalized by the code interpreter.

Name Type Description Required Default
code string The final code snippet output by the code interpreter. Yes
item_id string The unique identifier of the code interpreter tool call item. Yes
output_index integer The index of the output item in the response for which the code is finalized. Yes
type enum The type of the event. Always response.code_interpreter_call_code.done.
Possible values: response.code_interpreter_call_code.done		 Yes

OpenAI.ResponseCodeInterpreterCallCompletedEvent

Emitted when the code interpreter call is completed.

Name Type Description Required Default
item_id string The unique identifier of the code interpreter tool call item. Yes
output_index integer The index of the output item in the response for which the code interpreter call is completed. Yes
type enum The type of the event. Always response.code_interpreter_call.completed.
Possible values: response.code_interpreter_call.completed		 Yes

OpenAI.ResponseCodeInterpreterCallInProgressEvent

Emitted when a code interpreter call is in progress.

Name Type Description Required Default
item_id string The unique identifier of the code interpreter tool call item. Yes
output_index integer The index of the output item in the response for which the code interpreter call is in progress. Yes
type enum The type of the event. Always response.code_interpreter_call.in_progress.
Possible values: response.code_interpreter_call.in_progress		 Yes

OpenAI.ResponseCodeInterpreterCallInterpretingEvent

Emitted when the code interpreter is actively interpreting the code snippet.

Name Type Description Required Default
item_id string The unique identifier of the code interpreter tool call item. Yes
output_index integer The index of the output item in the response for which the code interpreter is interpreting code. Yes
type enum The type of the event. Always response.code_interpreter_call.interpreting.
Possible values: response.code_interpreter_call.interpreting		 Yes

OpenAI.ResponseCompletedEvent

Emitted when the model response is complete.

Name Type Description Required Default
response object Yes
└─ background boolean Whether to run the model response in the background.
Learn more.		 No False
└─ created_at integer Unix timestamp (in seconds) of when this Response was created. No
└─ error OpenAI.ResponseError An error object returned when the model fails to generate a Response. No
└─ id string Unique identifier for this Response. No
└─ incomplete_details object Details about why the response is incomplete. No
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
└─ instructions string or array A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
└─ max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
└─ max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ object enum The object type of this resource - always set to response.
Possible values: response		 No
└─ output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 No
└─ output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
└─ parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
└─ previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
└─ prompt OpenAI.Prompt Reference to a prompt template and its variables.
 No
└─ reasoning OpenAI.Reasoning reasoning models only

Configuration options for
reasoning models.		 No
└─ status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
└─ temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No
└─ text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
└─ tool_choice OpenAI.ToolChoiceOptions or OpenAI.ToolChoiceObject How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.		 No
└─ tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
└─ top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
└─ top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No
└─ truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
└─ usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
└─ user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No
type enum The type of the event. Always response.completed.
Possible values: response.completed		 Yes

OpenAI.ResponseContentPartAddedEvent

Emitted when a new content part is added.

Name Type Description Required Default
content_index integer The index of the content part that was added. Yes
item_id string The ID of the output item that the content part was added to. Yes
output_index integer The index of the output item that the content part was added to. Yes
part object Yes
└─ type OpenAI.ItemContentType Multi-modal input and output contents. No
type enum The type of the event. Always response.content_part.added.
Possible values: response.content_part.added		 Yes

OpenAI.ResponseContentPartDoneEvent

Emitted when a content part is done.

Name Type Description Required Default
content_index integer The index of the content part that is done. Yes
item_id string The ID of the output item that the content part was added to. Yes
output_index integer The index of the output item that the content part was added to. Yes
part object Yes
└─ type OpenAI.ItemContentType Multi-modal input and output contents. No
type enum The type of the event. Always response.content_part.done.
Possible values: response.content_part.done		 Yes

OpenAI.ResponseCreatedEvent

An event that is emitted when a response is created.

Name Type Description Required Default
response object Yes
└─ background boolean Whether to run the model response in the background.
Learn more.		 No False
└─ created_at integer Unix timestamp (in seconds) of when this Response was created. No
└─ error OpenAI.ResponseError An error object returned when the model fails to generate a Response. No
└─ id string Unique identifier for this Response. No
└─ incomplete_details object Details about why the response is incomplete. No
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
└─ instructions string or array A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
└─ max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
└─ max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ object enum The object type of this resource - always set to response.
Possible values: response		 No
└─ output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 No
└─ output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
└─ parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
└─ previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
└─ prompt OpenAI.Prompt Reference to a prompt template and its variables.
 No
└─ reasoning OpenAI.Reasoning reasoning models only

Configuration options for
reasoning models.		 No
└─ status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
└─ temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No
└─ text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
└─ tool_choice OpenAI.ToolChoiceOptions or OpenAI.ToolChoiceObject How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.		 No
└─ tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
└─ top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
└─ top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No
└─ truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
└─ usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
└─ user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No
type enum The type of the event. Always response.created.
Possible values: response.created		 Yes

OpenAI.ResponseError

An error object returned when the model fails to generate a Response.

Name Type Description Required Default
code OpenAI.ResponseErrorCode The error code for the response. Yes
message string A human-readable description of the error. Yes

OpenAI.ResponseErrorCode

The error code for the response.

Property Value
Description The error code for the response.
Type string
Values server_error
rate_limit_exceeded
invalid_prompt
vector_store_timeout
invalid_image
invalid_image_format
invalid_base64_image
invalid_image_url
image_too_large
image_too_small
image_parse_error
image_content_policy_violation
invalid_image_mode
image_file_too_large
unsupported_image_media_type
empty_image_file
failed_to_download_image
image_file_not_found

OpenAI.ResponseErrorEvent

Emitted when an error occurs.

Name Type Description Required Default
code string The error code. Yes
message string The error message. Yes
param string The error parameter. Yes
type enum The type of the event. Always error.
Possible values: error		 Yes

OpenAI.ResponseFailedEvent

An event that is emitted when a response fails.

Name Type Description Required Default
response object Yes
└─ background boolean Whether to run the model response in the background.
Learn more.		 No False
└─ created_at integer Unix timestamp (in seconds) of when this Response was created. No
└─ error OpenAI.ResponseError An error object returned when the model fails to generate a Response. No
└─ id string Unique identifier for this Response. No
└─ incomplete_details object Details about why the response is incomplete. No
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
└─ instructions string or array A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
└─ max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
└─ max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ object enum The object type of this resource - always set to response.
Possible values: response		 No
└─ output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 No
└─ output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
└─ parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
└─ previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
└─ prompt OpenAI.Prompt Reference to a prompt template and its variables.
 No
└─ reasoning OpenAI.Reasoning reasoning models only

Configuration options for
reasoning models.		 No
└─ status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
└─ temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No
└─ text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
└─ tool_choice OpenAI.ToolChoiceOptions or OpenAI.ToolChoiceObject How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.		 No
└─ tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
└─ top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
└─ top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No
└─ truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
└─ usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
└─ user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No
type enum The type of the event. Always response.failed.
Possible values: response.failed		 Yes

OpenAI.ResponseFileSearchCallCompletedEvent

Emitted when a file search call is completed (results found).

Name Type Description Required Default
item_id string The ID of the output item that the file search call is initiated. Yes
output_index integer The index of the output item that the file search call is initiated. Yes
type enum The type of the event. Always response.file_search_call.completed.
Possible values: response.file_search_call.completed		 Yes

OpenAI.ResponseFileSearchCallInProgressEvent

Emitted when a file search call is initiated.

Name Type Description Required Default
item_id string The ID of the output item that the file search call is initiated. Yes
output_index integer The index of the output item that the file search call is initiated. Yes
type enum The type of the event. Always response.file_search_call.in_progress.
Possible values: response.file_search_call.in_progress		 Yes

OpenAI.ResponseFileSearchCallSearchingEvent

Emitted when a file search is currently searching.

Name Type Description Required Default
item_id string The ID of the output item that the file search call is initiated. Yes
output_index integer The index of the output item that the file search call is searching. Yes
type enum The type of the event. Always response.file_search_call.searching.
Possible values: response.file_search_call.searching		 Yes

OpenAI.ResponseFormat

Discriminator for OpenAI.ResponseFormat

This component uses the property type to discriminate between different types:

Type Value Schema
text OpenAI.ResponseFormatText
json_object OpenAI.ResponseFormatJsonObject
json_schema OpenAI.ResponseFormatJsonSchema
Name Type Description Required Default
type enum
Possible values: text, json_object, json_schema		 Yes

OpenAI.ResponseFormatJsonObject

JSON object response format. An older method of generating JSON responses. Using json_schema is recommended for models that support it. Note that the model will not generate JSON without a system or user message instructing it to do so.

Name Type Description Required Default
type enum The type of response format being defined. Always json_object.
Possible values: json_object		 Yes

OpenAI.ResponseFormatJsonSchema

JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

Name Type Description Required Default
json_schema object Structured Outputs configuration options, including a JSON Schema. Yes
└─ description string A description of what the response format is for, used by the model to
determine how to respond in the format.		 No
└─ name string The name of the response format. Must be a-z, A-Z, 0-9, or contain
underscores and dashes, with a maximum length of 64.		 No
└─ schema OpenAI.ResponseFormatJsonSchemaSchema The schema for the response format, described as a JSON Schema object.
Learn how to build JSON schemas here.		 No
└─ strict boolean Whether to enable strict schema adherence when generating the output.
If set to true, the model will always follow the exact schema defined
in the schema field. Only a subset of JSON Schema is supported when
strict is true. To learn more, read the Structured Outputs
guide.		 No False
type enum The type of response format being defined. Always json_schema.
Possible values: json_schema		 Yes

OpenAI.ResponseFormatJsonSchemaSchema

The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

Type: object

OpenAI.ResponseFormatText

Default response format. Used to generate text responses.

Name Type Description Required Default
type enum The type of response format being defined. Always text.
Possible values: text		 Yes

OpenAI.ResponseFunctionCallArgumentsDeltaEvent

Emitted when there is a partial function-call arguments delta.

Name Type Description Required Default
delta string The function-call arguments delta that is added. Yes
item_id string The ID of the output item that the function-call arguments delta is added to. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item that the function-call arguments delta is added to. Yes
type enum The type of the event. Always response.function_call_arguments.delta.
Possible values: response.function_call_arguments.delta		 Yes

OpenAI.ResponseFunctionCallArgumentsDoneEvent

Emitted when function-call arguments are finalized.

Name Type Description Required Default
arguments string The function-call arguments. Yes
item_id string The ID of the item. Yes
output_index integer The index of the output item. Yes
type enum
Possible values: response.function_call_arguments.done		 Yes

OpenAI.ResponseImageGenCallCompletedEvent

Emitted when an image generation tool call has completed and the final image is available.

Name Type Description Required Default
item_id string The unique identifier of the image generation item being processed. Yes
output_index integer The index of the output item in the response's output array. Yes
type enum The type of the event. Always 'response.image_generation_call.completed'.
Possible values: response.image_generation_call.completed		 Yes

OpenAI.ResponseImageGenCallGeneratingEvent

Emitted when an image generation tool call is actively generating an image (intermediate state).

Name Type Description Required Default
item_id string The unique identifier of the image generation item being processed. Yes
output_index integer The index of the output item in the response's output array. Yes
type enum The type of the event. Always 'response.image_generation_call.generating'.
Possible values: response.image_generation_call.generating		 Yes

OpenAI.ResponseImageGenCallInProgressEvent

Emitted when an image generation tool call is in progress.

Name Type Description Required Default
item_id string The unique identifier of the image generation item being processed. Yes
output_index integer The index of the output item in the response's output array. Yes
type enum The type of the event. Always 'response.image_generation_call.in_progress'.
Possible values: response.image_generation_call.in_progress		 Yes

OpenAI.ResponseImageGenCallPartialImageEvent

Emitted when a partial image is available during image generation streaming.

Name Type Description Required Default
item_id string The unique identifier of the image generation item being processed. Yes
output_index integer The index of the output item in the response's output array. Yes
partial_image_b64 string Base64-encoded partial image data, suitable for rendering as an image. Yes
partial_image_index integer 0-based index for the partial image (backend is 1-based, but this is 0-based for the user). Yes
type enum The type of the event. Always 'response.image_generation_call.partial_image'.
Possible values: response.image_generation_call.partial_image		 Yes

OpenAI.ResponseInProgressEvent

Emitted when the response is in progress.

Name Type Description Required Default
response object Yes
└─ background boolean Whether to run the model response in the background.
Learn more.		 No False
└─ created_at integer Unix timestamp (in seconds) of when this Response was created. No
└─ error OpenAI.ResponseError An error object returned when the model fails to generate a Response. No
└─ id string Unique identifier for this Response. No
└─ incomplete_details object Details about why the response is incomplete. No
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
└─ instructions string or array A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
└─ max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
└─ max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ object enum The object type of this resource - always set to response.
Possible values: response		 No
└─ output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 No
└─ output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
└─ parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
└─ previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
└─ prompt OpenAI.Prompt Reference to a prompt template and its variables.
 No
└─ reasoning OpenAI.Reasoning reasoning models only

Configuration options for
reasoning models.		 No
└─ status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
└─ temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No
└─ text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
└─ tool_choice OpenAI.ToolChoiceOptions or OpenAI.ToolChoiceObject How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.		 No
└─ tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
└─ top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
└─ top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No
└─ truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
└─ usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
└─ user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No
type enum The type of the event. Always response.in_progress.
Possible values: response.in_progress		 Yes

OpenAI.ResponseIncompleteEvent

An event that is emitted when a response finishes as incomplete.

Name Type Description Required Default
response object Yes
└─ background boolean Whether to run the model response in the background.
Learn more.		 No False
└─ created_at integer Unix timestamp (in seconds) of when this Response was created. No
└─ error OpenAI.ResponseError An error object returned when the model fails to generate a Response. No
└─ id string Unique identifier for this Response. No
└─ incomplete_details object Details about why the response is incomplete. No
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
└─ instructions string or array A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
└─ max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
└─ max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ object enum The object type of this resource - always set to response.
Possible values: response		 No
└─ output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 No
└─ output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
└─ parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
└─ previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
└─ prompt OpenAI.Prompt Reference to a prompt template and its variables.
 No
└─ reasoning OpenAI.Reasoning reasoning models only

Configuration options for
reasoning models.		 No
└─ status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
└─ temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No
└─ text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
└─ tool_choice OpenAI.ToolChoiceOptions or OpenAI.ToolChoiceObject How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.		 No
└─ tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
└─ top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
└─ top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No
└─ truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
└─ usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
└─ user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No
type enum The type of the event. Always response.incomplete.
Possible values: response.incomplete		 Yes

OpenAI.ResponseItemList

A list of Response items.

Name Type Description Required Default
data array A list of items used to generate this response. Yes
first_id string The ID of the first item in the list. Yes
has_more boolean Whether there are more items available. Yes
last_id string The ID of the last item in the list. Yes
object enum The type of object returned, must be list.
Possible values: list		 Yes

OpenAI.ResponseMCPCallArgumentsDeltaEvent

Emitted when there is a delta (partial update) to the arguments of an MCP tool call.

Name Type Description Required Default
delta The partial update to the arguments for the MCP tool call. Yes
item_id string The unique identifier of the MCP tool call item being processed. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item in the response's output array. Yes
type enum The type of the event. Always 'response.mcp_call.arguments_delta'.
Possible values: response.mcp_call.arguments_delta		 Yes

OpenAI.ResponseMCPCallArgumentsDoneEvent

Emitted when the arguments for an MCP tool call are finalized.

Name Type Description Required Default
arguments The finalized arguments for the MCP tool call. Yes
item_id string The unique identifier of the MCP tool call item being processed. Yes
output_index integer The index of the output item in the response's output array. Yes
type enum The type of the event. Always 'response.mcp_call.arguments_done'.
Possible values: response.mcp_call.arguments_done		 Yes

OpenAI.ResponseMCPCallCompletedEvent

Emitted when an MCP tool call has completed successfully.

Name Type Description Required Default
type enum The type of the event. Always 'response.mcp_call.completed'.
Possible values: response.mcp_call.completed		 Yes

OpenAI.ResponseMCPCallFailedEvent

Emitted when an MCP tool call has failed.

Name Type Description Required Default
type enum The type of the event. Always 'response.mcp_call.failed'.
Possible values: response.mcp_call.failed		 Yes

OpenAI.ResponseMCPCallInProgressEvent

Emitted when an MCP tool call is in progress.

Name Type Description Required Default
item_id string The unique identifier of the MCP tool call item being processed. Yes
output_index integer The index of the output item in the response's output array. Yes
type enum The type of the event. Always 'response.mcp_call.in_progress'.
Possible values: response.mcp_call.in_progress		 Yes

OpenAI.ResponseMCPListToolsCompletedEvent

Emitted when the list of available MCP tools has been successfully retrieved.

Name Type Description Required Default
type enum The type of the event. Always 'response.mcp_list_tools.completed'.
Possible values: response.mcp_list_tools.completed		 Yes

OpenAI.ResponseMCPListToolsFailedEvent

Emitted when the attempt to list available MCP tools has failed.

Name Type Description Required Default
type enum The type of the event. Always 'response.mcp_list_tools.failed'.
Possible values: response.mcp_list_tools.failed		 Yes

OpenAI.ResponseMCPListToolsInProgressEvent

Emitted when the system is in the process of retrieving the list of available MCP tools.

Name Type Description Required Default
type enum The type of the event. Always 'response.mcp_list_tools.in_progress'.
Possible values: response.mcp_list_tools.in_progress		 Yes

OpenAI.ResponseOutputItemAddedEvent

Emitted when a new output item is added.

Name Type Description Required Default
item object Content item used to generate a response. Yes
└─ id string No
└─ type OpenAI.ItemType No
output_index integer The index of the output item that was added. Yes
type enum The type of the event. Always response.output_item.added.
Possible values: response.output_item.added		 Yes

OpenAI.ResponseOutputItemDoneEvent

Emitted when an output item is marked done.

Name Type Description Required Default
item object Content item used to generate a response. Yes
└─ id string No
└─ type OpenAI.ItemType No
output_index integer The index of the output item that was marked done. Yes
type enum The type of the event. Always response.output_item.done.
Possible values: response.output_item.done		 Yes

OpenAI.ResponsePromptVariables

Optional map of values to substitute in for variables in your prompt. The substitution values can either be strings, or other Response input types like images or files.

Type: object

OpenAI.ResponseQueuedEvent

Emitted when a response is queued and waiting to be processed.

Name Type Description Required Default
response object Yes
└─ background boolean Whether to run the model response in the background.
Learn more.		 No False
└─ created_at integer Unix timestamp (in seconds) of when this Response was created. No
└─ error OpenAI.ResponseError An error object returned when the model fails to generate a Response. No
└─ id string Unique identifier for this Response. No
└─ incomplete_details object Details about why the response is incomplete. No
└─ reason enum The reason why the response is incomplete.
Possible values: max_output_tokens, content_filter		 No
└─ instructions string or array A system (or developer) message inserted into the model's context.

When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.		 No
└─ max_output_tokens integer An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens. No
└─ max_tool_calls integer The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. No
└─ metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
└─ object enum The object type of this resource - always set to response.
Possible values: response		 No
└─ output array An array of content items generated by the model.

- The length and order of items in the output array is dependent
on the model's response.
- Rather than accessing the first item in the output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.		 No
└─ output_text string SDK-only convenience property that contains the aggregated text output
from all output_text items in the output array, if any are present.
Supported in the Python and JavaScript SDKs.		 No
└─ parallel_tool_calls boolean Whether to allow the model to run tool calls in parallel. No True
└─ previous_response_id string The unique ID of the previous response to the model. Use this to
create multi-turn conversations.		 No
└─ prompt OpenAI.Prompt Reference to a prompt template and its variables.
 No
└─ reasoning OpenAI.Reasoning reasoning models only

Configuration options for
reasoning models.		 No
└─ status enum The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Possible values: completed, failed, in_progress, cancelled, queued, incomplete		 No
└─ temperature number What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.		 No
└─ text object Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more: Structured Outputs		 No
└─ format OpenAI.ResponseTextFormatConfiguration No
└─ tool_choice OpenAI.ToolChoiceOptions or OpenAI.ToolChoiceObject How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.		 No
└─ tools array An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.

The two categories of tools you can provide the model are:

- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search or file search.		 No
└─ top_logprobs integer An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. No
└─ top_p number An alternative to sampling with temperature, called nucleus sampling,
where the model considers the results of the tokens with top_p probability
mass. So 0.1 means only the tokens comprising the top 10% probability mass
are considered.

We generally recommend altering this or temperature but not both.		 No
└─ truncation enum The truncation strategy to use for the model response.
- auto: If the context of this response and previous ones exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping input items in the
middle of the conversation.
- disabled (default): If a model response will exceed the context window
size for a model, the request will fail with a 400 error.
Possible values: auto, disabled		 No
└─ usage OpenAI.ResponseUsage Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.		 No
└─ user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. No
type enum The type of the event. Always 'response.queued'.
Possible values: response.queued		 Yes

OpenAI.ResponseReasoningDeltaEvent

Emitted when there is a delta (partial update) to the reasoning content.

Name Type Description Required Default
content_index integer The index of the reasoning content part within the output item. Yes
delta The partial update to the reasoning content. Yes
item_id string The unique identifier of the item for which reasoning is being updated. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item in the response's output array. Yes
type enum The type of the event. Always 'response.reasoning.delta'.
Possible values: response.reasoning.delta		 Yes

OpenAI.ResponseReasoningDoneEvent

Emitted when the reasoning content is finalized for an item.

Name Type Description Required Default
content_index integer The index of the reasoning content part within the output item. Yes
item_id string The unique identifier of the item for which reasoning is finalized. Yes
output_index integer The index of the output item in the response's output array. Yes
text string The finalized reasoning text. Yes
type enum The type of the event. Always 'response.reasoning.done'.
Possible values: response.reasoning.done		 Yes

OpenAI.ResponseReasoningSummaryDeltaEvent

Emitted when there is a delta (partial update) to the reasoning summary content.

Name Type Description Required Default
delta The partial update to the reasoning summary content. Yes
item_id string The unique identifier of the item for which the reasoning summary is being updated. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item in the response's output array. Yes
summary_index integer The index of the summary part within the output item. Yes
type enum The type of the event. Always 'response.reasoning_summary.delta'.
Possible values: response.reasoning_summary.delta		 Yes

OpenAI.ResponseReasoningSummaryDoneEvent

Emitted when the reasoning summary content is finalized for an item.

Name Type Description Required Default
item_id string The unique identifier of the item for which the reasoning summary is finalized. Yes
output_index integer The index of the output item in the response's output array. Yes
summary_index integer The index of the summary part within the output item. Yes
text string The finalized reasoning summary text. Yes
type enum The type of the event. Always 'response.reasoning_summary.done'.
Possible values: response.reasoning_summary.done		 Yes

OpenAI.ResponseReasoningSummaryPartAddedEvent

Emitted when a new reasoning summary part is added.

Name Type Description Required Default
item_id string The ID of the item this summary part is associated with. Yes
output_index integer The index of the output item this summary part is associated with. Yes
part object Yes
└─ type OpenAI.ReasoningItemSummaryPartType No
summary_index integer The index of the summary part within the reasoning summary. Yes
type enum The type of the event. Always response.reasoning_summary_part.added.
Possible values: response.reasoning_summary_part.added		 Yes

OpenAI.ResponseReasoningSummaryPartDoneEvent

Emitted when a reasoning summary part is completed.

Name Type Description Required Default
item_id string The ID of the item this summary part is associated with. Yes
output_index integer The index of the output item this summary part is associated with. Yes
part object Yes
└─ type OpenAI.ReasoningItemSummaryPartType No
summary_index integer The index of the summary part within the reasoning summary. Yes
type enum The type of the event. Always response.reasoning_summary_part.done.
Possible values: response.reasoning_summary_part.done		 Yes

OpenAI.ResponseReasoningSummaryTextDeltaEvent

Emitted when a delta is added to a reasoning summary text.

Name Type Description Required Default
delta string The text delta that was added to the summary. Yes
item_id string The ID of the item this summary text delta is associated with. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item this summary text delta is associated with. Yes
summary_index integer The index of the summary part within the reasoning summary. Yes
type enum The type of the event. Always response.reasoning_summary_text.delta.
Possible values: response.reasoning_summary_text.delta		 Yes

OpenAI.ResponseReasoningSummaryTextDoneEvent

Emitted when a reasoning summary text is completed.

Name Type Description Required Default
item_id string The ID of the item this summary text is associated with. Yes
output_index integer The index of the output item this summary text is associated with. Yes
summary_index integer The index of the summary part within the reasoning summary. Yes
text string The full text of the completed reasoning summary. Yes
type enum The type of the event. Always response.reasoning_summary_text.done.
Possible values: response.reasoning_summary_text.done		 Yes

OpenAI.ResponseRefusalDeltaEvent

Emitted when there is a partial refusal text.

Name Type Description Required Default
content_index integer The index of the content part that the refusal text is added to. Yes
delta string The refusal text that is added. Yes
item_id string The ID of the output item that the refusal text is added to. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item that the refusal text is added to. Yes
type enum The type of the event. Always response.refusal.delta.
Possible values: response.refusal.delta		 Yes

OpenAI.ResponseRefusalDoneEvent

Emitted when refusal text is finalized.

Name Type Description Required Default
content_index integer The index of the content part that the refusal text is finalized. Yes
item_id string The ID of the output item that the refusal text is finalized. Yes
output_index integer The index of the output item that the refusal text is finalized. Yes
refusal string The refusal text that is finalized. Yes
type enum The type of the event. Always response.refusal.done.
Possible values: response.refusal.done		 Yes

OpenAI.ResponseStreamEvent

Discriminator for OpenAI.ResponseStreamEvent

This component uses the property type to discriminate between different types:

Type Value Schema
response.completed OpenAI.ResponseCompletedEvent
response.content_part.added OpenAI.ResponseContentPartAddedEvent
response.content_part.done OpenAI.ResponseContentPartDoneEvent
response.created OpenAI.ResponseCreatedEvent
error OpenAI.ResponseErrorEvent
response.file_search_call.completed OpenAI.ResponseFileSearchCallCompletedEvent
response.file_search_call.in_progress OpenAI.ResponseFileSearchCallInProgressEvent
response.file_search_call.searching OpenAI.ResponseFileSearchCallSearchingEvent
response.function_call_arguments.delta OpenAI.ResponseFunctionCallArgumentsDeltaEvent
response.function_call_arguments.done OpenAI.ResponseFunctionCallArgumentsDoneEvent
response.in_progress OpenAI.ResponseInProgressEvent
response.failed OpenAI.ResponseFailedEvent
response.incomplete OpenAI.ResponseIncompleteEvent
response.output_item.added OpenAI.ResponseOutputItemAddedEvent
response.output_item.done OpenAI.ResponseOutputItemDoneEvent
response.refusal.delta OpenAI.ResponseRefusalDeltaEvent
response.refusal.done OpenAI.ResponseRefusalDoneEvent
response.output_text.delta OpenAI.ResponseTextDeltaEvent
response.output_text.done OpenAI.ResponseTextDoneEvent
response.reasoning_summary_part.added OpenAI.ResponseReasoningSummaryPartAddedEvent
response.reasoning_summary_part.done OpenAI.ResponseReasoningSummaryPartDoneEvent
response.reasoning_summary_text.delta OpenAI.ResponseReasoningSummaryTextDeltaEvent
response.reasoning_summary_text.done OpenAI.ResponseReasoningSummaryTextDoneEvent
response.web_search_call.completed OpenAI.ResponseWebSearchCallCompletedEvent
response.web_search_call.in_progress OpenAI.ResponseWebSearchCallInProgressEvent
response.web_search_call.searching OpenAI.ResponseWebSearchCallSearchingEvent
response.image_generation_call.completed OpenAI.ResponseImageGenCallCompletedEvent
response.image_generation_call.generating OpenAI.ResponseImageGenCallGeneratingEvent
response.image_generation_call.in_progress OpenAI.ResponseImageGenCallInProgressEvent
response.image_generation_call.partial_image OpenAI.ResponseImageGenCallPartialImageEvent
response.mcp_call.arguments_delta OpenAI.ResponseMCPCallArgumentsDeltaEvent
response.mcp_call.arguments_done OpenAI.ResponseMCPCallArgumentsDoneEvent
response.mcp_call.completed OpenAI.ResponseMCPCallCompletedEvent
response.mcp_call.failed OpenAI.ResponseMCPCallFailedEvent
response.mcp_call.in_progress OpenAI.ResponseMCPCallInProgressEvent
response.mcp_list_tools.completed OpenAI.ResponseMCPListToolsCompletedEvent
response.mcp_list_tools.failed OpenAI.ResponseMCPListToolsFailedEvent
response.mcp_list_tools.in_progress OpenAI.ResponseMCPListToolsInProgressEvent
response.queued OpenAI.ResponseQueuedEvent
response.reasoning.delta OpenAI.ResponseReasoningDeltaEvent
response.reasoning.done OpenAI.ResponseReasoningDoneEvent
response.reasoning_summary.delta OpenAI.ResponseReasoningSummaryDeltaEvent
response.reasoning_summary.done OpenAI.ResponseReasoningSummaryDoneEvent
response.code_interpreter_call_code.delta OpenAI.ResponseCodeInterpreterCallCodeDeltaEvent
response.code_interpreter_call_code.done OpenAI.ResponseCodeInterpreterCallCodeDoneEvent
response.code_interpreter_call.completed OpenAI.ResponseCodeInterpreterCallCompletedEvent
response.code_interpreter_call.in_progress OpenAI.ResponseCodeInterpreterCallInProgressEvent
response.code_interpreter_call.interpreting OpenAI.ResponseCodeInterpreterCallInterpretingEvent
Name Type Description Required Default
sequence_number integer The sequence number for this event. Yes
type OpenAI.ResponseStreamEventType Yes

OpenAI.ResponseStreamEventType

Property Value
Type string
Values response.audio.delta
response.audio.done
response.audio_transcript.delta
response.audio_transcript.done
response.code_interpreter_call_code.delta
response.code_interpreter_call_code.done
response.code_interpreter_call.completed
response.code_interpreter_call.in_progress
response.code_interpreter_call.interpreting
response.completed
response.content_part.added
response.content_part.done
response.created
error
response.file_search_call.completed
response.file_search_call.in_progress
response.file_search_call.searching
response.function_call_arguments.delta
response.function_call_arguments.done
response.in_progress
response.failed
response.incomplete
response.output_item.added
response.output_item.done
response.refusal.delta
response.refusal.done
response.output_text.annotation.added
response.output_text.delta
response.output_text.done
response.reasoning_summary_part.added
response.reasoning_summary_part.done
response.reasoning_summary_text.delta
response.reasoning_summary_text.done
response.web_search_call.completed
response.web_search_call.in_progress
response.web_search_call.searching
response.image_generation_call.completed
response.image_generation_call.generating
response.image_generation_call.in_progress
response.image_generation_call.partial_image
response.mcp_call.arguments_delta
response.mcp_call.arguments_done
response.mcp_call.completed
response.mcp_call.failed
response.mcp_call.in_progress
response.mcp_list_tools.completed
response.mcp_list_tools.failed
response.mcp_list_tools.in_progress
response.queued
response.reasoning.delta
response.reasoning.done
response.reasoning_summary.delta
response.reasoning_summary.done

OpenAI.ResponseTextDeltaEvent

Emitted when there is an additional text delta.

Name Type Description Required Default
content_index integer The index of the content part that the text delta was added to. Yes
delta string The text delta that was added. Yes
item_id string The ID of the output item that the text delta was added to. Yes
obfuscation string A field of random characters introduced by stream obfuscation. Stream obfuscation is a mechanism that mitigates certain side-channel attacks. Yes
output_index integer The index of the output item that the text delta was added to. Yes
type enum The type of the event. Always response.output_text.delta.
Possible values: response.output_text.delta		 Yes

OpenAI.ResponseTextDoneEvent

Emitted when text content is finalized.

Name Type Description Required Default
content_index integer The index of the content part that the text content is finalized. Yes
item_id string The ID of the output item that the text content is finalized. Yes
output_index integer The index of the output item that the text content is finalized. Yes
text string The text content that is finalized. Yes
type enum The type of the event. Always response.output_text.done.
Possible values: response.output_text.done		 Yes

OpenAI.ResponseTextFormatConfiguration

Discriminator for OpenAI.ResponseTextFormatConfiguration

This component uses the property type to discriminate between different types:

Type Value Schema
text OpenAI.ResponseTextFormatConfigurationText
json_object OpenAI.ResponseTextFormatConfigurationJsonObject
json_schema OpenAI.ResponseTextFormatConfigurationJsonSchema
Name Type Description Required Default
type OpenAI.ResponseTextFormatConfigurationType An object specifying the format that the model must output.

Configuring { "type": "json_schema" } enables Structured Outputs,
which ensures the model will match your supplied JSON schema. Learn more in the
Structured Outputs guide.

The default format is { "type": "text" } with no additional options.

Not recommended for gpt-4o and newer models:

Setting to { "type": "json_object" } enables the older JSON mode, which
ensures the message the model generates is valid JSON. Using json_schema
is preferred for models that support it.		 Yes

OpenAI.ResponseTextFormatConfigurationJsonObject

Name Type Description Required Default
type enum
Possible values: json_object		 Yes

OpenAI.ResponseTextFormatConfigurationJsonSchema

JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

Name Type Description Required Default
description string A description of what the response format is for, used by the model to
determine how to respond in the format.		 No
name string The name of the response format. Must be a-z, A-Z, 0-9, or contain
underscores and dashes, with a maximum length of 64.		 Yes
schema OpenAI.ResponseFormatJsonSchemaSchema The schema for the response format, described as a JSON Schema object.
Learn how to build JSON schemas here.		 Yes
strict boolean Whether to enable strict schema adherence when generating the output.
If set to true, the model will always follow the exact schema defined
in the schema field. Only a subset of JSON Schema is supported when
strict is true. To learn more, read the Structured Outputs
guide.		 No False
type enum The type of response format being defined. Always json_schema.
Possible values: json_schema		 Yes

OpenAI.ResponseTextFormatConfigurationText

Name Type Description Required Default
type enum
Possible values: text		 Yes

OpenAI.ResponseTextFormatConfigurationType

An object specifying the format that the model must output.

Configuring { "type": "json_schema" } enables Structured Outputs, which ensures the model will match your supplied JSON schema. Learn more in the Structured Outputs guide.

The default format is { "type": "text" } with no additional options.

Not recommended for gpt-4o and newer models:

Setting to { "type": "json_object" } enables the older JSON mode, which ensures the message the model generates is valid JSON. Using json_schema is preferred for models that support it.

Property Value
Description An object specifying the format that the model must output.

Configuring { "type": "json_schema" } enables Structured Outputs, which ensures the model will match your supplied JSON schema. Learn more in the Structured Outputs guide.

The default format is { "type": "text" } with no additional options.

Not recommended for gpt-4o and newer models:

Setting to { "type": "json_object" } enables the older JSON mode, which ensures the message the model generates is valid JSON. Using json_schema is preferred for models that support it. | | Type | string | | Values | text
json_schema
json_object |

OpenAI.ResponseUsage

Represents token usage details including input tokens, output tokens, a breakdown of output tokens, and the total tokens used.

Name Type Description Required Default
input_tokens integer The number of input tokens. Yes
input_tokens_details object A detailed breakdown of the input tokens. Yes
└─ cached_tokens integer The number of tokens that were retrieved from the cache.
More on prompt caching.		 No
output_tokens integer The number of output tokens. Yes
output_tokens_details object A detailed breakdown of the output tokens. Yes
└─ reasoning_tokens integer The number of reasoning tokens. No
total_tokens integer The total number of tokens used. Yes

OpenAI.ResponseWebSearchCallCompletedEvent

Note

web_search is not yet available via Azure OpenAI.

Name Type Description Required Default
item_id string Unique ID for the output item associated with the web search call. Yes
output_index integer The index of the output item that the web search call is associated with. Yes
type enum The type of the event. Always response.web_search_call.completed.
Possible values: response.web_search_call.completed		 Yes

OpenAI.ResponseWebSearchCallInProgressEvent

Note

web_search is not yet available via Azure OpenAI.

Name Type Description Required Default
item_id string Unique ID for the output item associated with the web search call. Yes
output_index integer The index of the output item that the web search call is associated with. Yes
type enum The type of the event. Always response.web_search_call.in_progress.
Possible values: response.web_search_call.in_progress		 Yes

OpenAI.ResponseWebSearchCallSearchingEvent

Note

web_search is not yet available via Azure OpenAI.

Name Type Description Required Default
item_id string Unique ID for the output item associated with the web search call. Yes
output_index integer The index of the output item that the web search call is associated with. Yes
type enum The type of the event. Always response.web_search_call.searching.
Possible values: response.web_search_call.searching		 Yes

OpenAI.ResponsesAssistantMessageItemParam

A message parameter item with the assistant role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always assistant.
Possible values: assistant		 Yes

OpenAI.ResponsesAssistantMessageItemResource

A message resource item with the assistant role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always assistant.
Possible values: assistant		 Yes

OpenAI.ResponsesDeveloperMessageItemParam

A message parameter item with the developer role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always developer.
Possible values: developer		 Yes

OpenAI.ResponsesDeveloperMessageItemResource

A message resource item with the developer role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always developer.
Possible values: developer		 Yes

OpenAI.ResponsesMessageItemParam

A response message item, representing a role and content, as provided as client request parameters.

Discriminator for OpenAI.ResponsesMessageItemParam

This component uses the property role to discriminate between different types:

Type Value Schema
user OpenAI.ResponsesUserMessageItemParam
system OpenAI.ResponsesSystemMessageItemParam
developer OpenAI.ResponsesDeveloperMessageItemParam
assistant OpenAI.ResponsesAssistantMessageItemParam
Name Type Description Required Default
role object The collection of valid roles for responses message items. Yes
type enum The type of the responses item, which is always 'message'.
Possible values: message		 Yes

OpenAI.ResponsesMessageItemResource

A response message resource item, representing a role and content, as provided on service responses.

Discriminator for OpenAI.ResponsesMessageItemResource

This component uses the property role to discriminate between different types:

Type Value Schema
user OpenAI.ResponsesUserMessageItemResource
system OpenAI.ResponsesSystemMessageItemResource
developer OpenAI.ResponsesDeveloperMessageItemResource
assistant OpenAI.ResponsesAssistantMessageItemResource
Name Type Description Required Default
role object The collection of valid roles for responses message items. Yes
status enum The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Possible values: in_progress, completed, incomplete		 Yes
type enum The type of the responses item, which is always 'message'.
Possible values: message		 Yes

OpenAI.ResponsesMessageRole

The collection of valid roles for responses message items.

Property Value
Description The collection of valid roles for responses message items.
Type string
Values system
developer
user
assistant

OpenAI.ResponsesSystemMessageItemParam

A message parameter item with the system role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always system.
Possible values: system		 Yes

OpenAI.ResponsesSystemMessageItemResource

A message resource item with the system role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always system.
Possible values: system		 Yes

OpenAI.ResponsesUserMessageItemParam

A message parameter item with the user role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always user.
Possible values: user		 Yes

OpenAI.ResponsesUserMessageItemResource

A message resource item with the user role.

Name Type Description Required Default
content array The content associated with the message. Yes
role enum The role of the message, which is always user.
Possible values: user		 Yes

OpenAI.RunGraderRequest

Name Type Description Required Default
grader object A StringCheckGrader object that performs a string comparison between input and reference using a specified operation. Yes
└─ calculate_output string A formula to calculate the output based on grader results. No
└─ evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 No
└─ graders object No
└─ image_tag string The image tag to use for the python script. No
└─ input array The input text. This may include template strings. No
└─ model string The model to use for the evaluation. No
└─ name string The name of the grader. No
└─ operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 No
└─ range array The range of the score. Defaults to [0, 1]. No
└─ reference string The text being graded against. No
└─ sampling_params The sampling parameters for the model. No
└─ source string The source code of the python script. No
└─ type enum The object type, which is always multi.
Possible values: multi		 No
item The dataset item provided to the grader. This will be used to populate
the item namespace. See the guide for more details.		 No
model_sample string The model sample to be evaluated. This value will be used to populate
the sample namespace. See the guide for more details.
The output_json variable will be populated if the model sample is a
valid JSON string.		 Yes

OpenAI.RunGraderResponse

Name Type Description Required Default
metadata object Yes
└─ errors object No
└─ formula_parse_error boolean No
└─ invalid_variable_error boolean No
└─ model_grader_parse_error boolean No
└─ model_grader_refusal_error boolean No
└─ model_grader_server_error boolean No
└─ model_grader_server_error_details string No
└─ other_error boolean No
└─ python_grader_runtime_error boolean No
└─ python_grader_runtime_error_details string No
└─ python_grader_server_error boolean No
└─ python_grader_server_error_type string No
└─ sample_parse_error boolean No
└─ truncated_observation_error boolean No
└─ unresponsive_reward_error boolean No
└─ execution_time number No
└─ name string No
└─ sampled_model_name string No
└─ scores No
└─ token_usage integer No
└─ type string No
model_grader_token_usage_per_model Yes
reward number Yes
sub_rewards Yes

OpenAI.StaticChunkingStrategy

Name Type Description Required Default
chunk_overlap_tokens integer The number of tokens that overlap between chunks. The default value is 400.

Note that the overlap must not exceed half of max_chunk_size_tokens.		 Yes
max_chunk_size_tokens integer The maximum number of tokens in each chunk. The default value is 800. The minimum value is 100 and the maximum value is 4096. Yes

OpenAI.StaticChunkingStrategyRequestParam

Customize your own chunking strategy by setting chunk size and chunk overlap.

Name Type Description Required Default
static OpenAI.StaticChunkingStrategy Yes
type enum Always static.
Possible values: static		 Yes

OpenAI.StaticChunkingStrategyResponseParam

Name Type Description Required Default
static OpenAI.StaticChunkingStrategy Yes
type enum Always static.
Possible values: static		 Yes

OpenAI.StopConfiguration

Not supported with latest reasoning models o3 and o4-mini.

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

This schema accepts one of the following types:

  • string
  • array

OpenAI.Tool

Discriminator for OpenAI.Tool

This component uses the property type to discriminate between different types:

Type Value Schema
function OpenAI.FunctionTool
file_search OpenAI.FileSearchTool
computer_use_preview OpenAI.ComputerUsePreviewTool
web_search_preview OpenAI.WebSearchPreviewTool
code_interpreter OpenAI.CodeInterpreterTool
image_generation OpenAI.ImageGenTool
local_shell OpenAI.LocalShellTool
mcp OpenAI.MCPTool
Name Type Description Required Default
type OpenAI.ToolType A tool that can be used to generate a response. Yes

OpenAI.ToolChoiceObject

Discriminator for OpenAI.ToolChoiceObject

This component uses the property type to discriminate between different types:

Type Value Schema
file_search OpenAI.ToolChoiceObjectFileSearch
computer_use_preview OpenAI.ToolChoiceObjectComputer
web_search_preview OpenAI.ToolChoiceObjectWebSearch
image_generation OpenAI.ToolChoiceObjectImageGen
code_interpreter OpenAI.ToolChoiceObjectCodeInterpreter
function OpenAI.ToolChoiceObjectFunction
mcp OpenAI.ToolChoiceObjectMCP
Name Type Description Required Default
type OpenAI.ToolChoiceObjectType Indicates that the model should use a built-in tool to generate a response.. Yes

OpenAI.ToolChoiceObjectCodeInterpreter

Name Type Description Required Default
type enum
Possible values: code_interpreter		 Yes

OpenAI.ToolChoiceObjectComputer

Name Type Description Required Default
type enum
Possible values: computer_use_preview		 Yes

OpenAI.ToolChoiceObjectFileSearch

Name Type Description Required Default
type enum
Possible values: file_search		 Yes

OpenAI.ToolChoiceObjectFunction

Use this option to force the model to call a specific function.

Name Type Description Required Default
name string The name of the function to call. Yes
type enum For function calling, the type is always function.
Possible values: function		 Yes

OpenAI.ToolChoiceObjectImageGen

Name Type Description Required Default
type enum
Possible values: image_generation		 Yes

OpenAI.ToolChoiceObjectMCP

Use this option to force the model to call a specific tool on a remote MCP server.

Name Type Description Required Default
name string The name of the tool to call on the server. No
server_label string The label of the MCP server to use. Yes
type enum For MCP tools, the type is always mcp.
Possible values: mcp		 Yes

OpenAI.ToolChoiceObjectType

Indicates that the model should use a built-in tool to generate a response.

Property Value
Description Indicates that the model should use a built-in tool to generate a response.
Type string
Values file_search
function
computer_use_preview
web_search_preview
image_generation
code_interpreter
mcp

OpenAI.ToolChoiceObjectWebSearch

Note

web_search is not yet available via Azure OpenAI.

Name Type Description Required Default
type enum
Possible values: web_search_preview		 Yes

OpenAI.ToolChoiceOptions

Controls which (if any) tool is called by the model.

none means the model will not call any tool and instead generates a message.

auto means the model can pick between generating a message or calling one or more tools.

required means the model must call one or more tools.

Property Value
Description Controls which (if any) tool is called by the model.

none means the model will not call any tool and instead generates a message.

auto means the model can pick between generating a message or calling one or
more tools.

required means the model must call one or more tools.
Type string
Values none
auto
required

OpenAI.ToolType

A tool that can be used to generate a response.

Property Value
Description A tool that can be used to generate a response.
Type string
Values file_search
function
computer_use_preview
web_search_preview
mcp
code_interpreter
image_generation
local_shell

OpenAI.TopLogProb

The top log probability of a token.

Name Type Description Required Default
bytes array Yes
logprob number Yes
token string Yes

OpenAI.UpdateVectorStoreFileAttributesRequest

Name Type Description Required Default
attributes object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard. Keys are strings
with a maximum length of 64 characters. Values are strings with a maximum
length of 512 characters, booleans, or numbers.		 Yes

OpenAI.UpdateVectorStoreRequest

Name Type Description Required Default
expires_after object The expiration policy for a vector store. No
└─ anchor enum Anchor timestamp after which the expiration policy applies. Supported anchors: last_active_at.
Possible values: last_active_at		 No
└─ days integer The number of days after the anchor time that the vector store will expire. No
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 No
name string The name of the vector store. No

OpenAI.ValidateGraderRequest

Name Type Description Required Default
grader object A StringCheckGrader object that performs a string comparison between input and reference using a specified operation. Yes
└─ calculate_output string A formula to calculate the output based on grader results. No
└─ evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 No
└─ graders object No
└─ image_tag string The image tag to use for the python script. No
└─ input array The input text. This may include template strings. No
└─ model string The model to use for the evaluation. No
└─ name string The name of the grader. No
└─ operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 No
└─ range array The range of the score. Defaults to [0, 1]. No
└─ reference string The text being graded against. No
└─ sampling_params The sampling parameters for the model. No
└─ source string The source code of the python script. No
└─ type enum The object type, which is always multi.
Possible values: multi		 No

OpenAI.ValidateGraderResponse

Name Type Description Required Default
grader object A StringCheckGrader object that performs a string comparison between input and reference using a specified operation. No
└─ calculate_output string A formula to calculate the output based on grader results. No
└─ evaluation_metric enum The evaluation metric to use. One of fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, or rouge_l.
Possible values: fuzzy_match, bleu, gleu, meteor, rouge_1, rouge_2, rouge_3, rouge_4, rouge_5, rouge_l		 No
└─ graders object No
└─ image_tag string The image tag to use for the python script. No
└─ input array The input text. This may include template strings. No
└─ model string The model to use for the evaluation. No
└─ name string The name of the grader. No
└─ operation enum The string check operation to perform. One of eq, ne, like, or ilike.
Possible values: eq, ne, like, ilike		 No
└─ range array The range of the score. Defaults to [0, 1]. No
└─ reference string The text being graded against. No
└─ sampling_params The sampling parameters for the model. No
└─ source string The source code of the python script. No
└─ type enum The object type, which is always multi.
Possible values: multi		 No

OpenAI.VectorStoreExpirationAfter

The expiration policy for a vector store.

Name Type Description Required Default
anchor enum Anchor timestamp after which the expiration policy applies. Supported anchors: last_active_at.
Possible values: last_active_at		 Yes
days integer The number of days after the anchor time that the vector store will expire. Yes

OpenAI.VectorStoreFileAttributes

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters, booleans, or numbers.

Type: object

OpenAI.VectorStoreFileBatchObject

A batch of files attached to a vector store.

Name Type Description Required Default
created_at integer The Unix timestamp (in seconds) for when the vector store files batch was created. Yes
file_counts object Yes
└─ cancelled integer The number of files that where cancelled. No
└─ completed integer The number of files that have been processed. No
└─ failed integer The number of files that have failed to process. No
└─ in_progress integer The number of files that are currently being processed. No
└─ total integer The total number of files. No
id string The identifier, which can be referenced in API endpoints. Yes
object enum The object type, which is always vector_store.file_batch.
Possible values: vector_store.files_batch		 Yes
status enum The status of the vector store files batch, which can be either in_progress, completed, cancelled or failed.
Possible values: in_progress, completed, cancelled, failed		 Yes
vector_store_id string The ID of the vector store that the File is attached to. Yes

OpenAI.VectorStoreFileObject

A list of files attached to a vector store.

Name Type Description Required Default
attributes object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard. Keys are strings
with a maximum length of 64 characters. Values are strings with a maximum
length of 512 characters, booleans, or numbers.		 No
chunking_strategy object No
└─ type enum
Possible values: static, other		 No
created_at integer The Unix timestamp (in seconds) for when the vector store file was created. Yes
id string The identifier, which can be referenced in API endpoints. Yes
last_error object The last error associated with this vector store file. Will be null if there are no errors. Yes
└─ code enum One of server_error or rate_limit_exceeded.
Possible values: server_error, unsupported_file, invalid_file		 No
└─ message string A human-readable description of the error. No
object enum The object type, which is always vector_store.file.
Possible values: vector_store.file		 Yes
status enum The status of the vector store file, which can be either in_progress, completed, cancelled, or failed. The status completed indicates that the vector store file is ready for use.
Possible values: in_progress, completed, cancelled, failed		 Yes
usage_bytes integer The total vector store usage in bytes. Note that this may be different from the original file size. Yes
vector_store_id string The ID of the vector store that the File is attached to. Yes

OpenAI.VectorStoreObject

A vector store is a collection of processed files can be used by the file_search tool.

Name Type Description Required Default
created_at integer The Unix timestamp (in seconds) for when the vector store was created. Yes
expires_after OpenAI.VectorStoreExpirationAfter The expiration policy for a vector store. No
expires_at integer The Unix timestamp (in seconds) for when the vector store will expire. No
file_counts object Yes
└─ cancelled integer The number of files that were cancelled. No
└─ completed integer The number of files that have been successfully processed. No
└─ failed integer The number of files that have failed to process. No
└─ in_progress integer The number of files that are currently being processed. No
└─ total integer The total number of files. No
id string The identifier, which can be referenced in API endpoints. Yes
last_active_at integer The Unix timestamp (in seconds) for when the vector store was last active. Yes
metadata object Set of 16 key-value pairs that can be attached to an object. This can be
useful for storing additional information about the object in a structured
format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.		 Yes
name string The name of the vector store. Yes
object enum The object type, which is always vector_store.
Possible values: vector_store		 Yes
status enum The status of the vector store, which can be either expired, in_progress, or completed. A status of completed indicates that the vector store is ready for use.
Possible values: expired, in_progress, completed		 Yes
usage_bytes integer The total number of bytes used by the files in the vector store. Yes

OpenAI.VoiceIdsShared

Property Value
Type string
Values alloy
ash
ballad
coral
echo
fable
onyx
nova
sage
shimmer
verse

OpenAI.WebSearchAction

Discriminator for OpenAI.WebSearchAction

This component uses the property type to discriminate between different types:

Type Value Schema
find OpenAI.WebSearchActionFind
open_page OpenAI.WebSearchActionOpenPage
search OpenAI.WebSearchActionSearch
Name Type Description Required Default
type OpenAI.WebSearchActionType Yes

OpenAI.WebSearchActionFind

Action type "find": Searches for a pattern within a loaded page.

Name Type Description Required Default
pattern string The pattern or text to search for within the page. Yes
type enum The action type.
Possible values: find		 Yes
url string The URL of the page searched for the pattern. Yes

OpenAI.WebSearchActionOpenPage

Action type "open_page" - Opens a specific URL from search results.

Name Type Description Required Default
type enum The action type.
Possible values: open_page		 Yes
url string The URL opened by the model. Yes

OpenAI.WebSearchActionSearch

Action type "search" - Performs a web search query.

Name Type Description Required Default
query string The search query. Yes
type enum The action type.
Possible values: search		 Yes

OpenAI.WebSearchActionType

Property Value
Type string
Values search
open_page
find

OpenAI.WebSearchPreviewTool

Note

web_search is not yet available via Azure OpenAI.

Name Type Description Required Default
search_context_size enum High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
Possible values: low, medium, high		 No
type enum The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
Possible values: web_search_preview		 Yes
user_location object No
└─ type OpenAI.LocationType No

OpenAI.WebSearchToolCallItemParam

Note

web_search is not yet available via Azure OpenAI.

Name Type Description Required Default
action object Yes
└─ type OpenAI.WebSearchActionType No
type enum
Possible values: web_search_call		 Yes

OpenAI.WebSearchToolCallItemResource

Note

web_search is not yet available via Azure OpenAI.

Name Type Description Required Default
action object Yes
└─ type OpenAI.WebSearchActionType No
status enum The status of the web search tool call.
Possible values: in_progress, searching, completed, failed		 Yes
type enum
Possible values: web_search_call		 Yes

PineconeChatDataSource

Name Type Description Required Default
parameters object The parameter information to control the use of the Pinecone data source. Yes
└─ allow_partial_result boolean If set to true, the system will allow partial search results to be used and the request will fail if all
partial queries fail. If not specified or specified as false, the request will fail if any search query fails.		 No False
└─ authentication object No
└─ key string No
└─ type enum
Possible values: api_key		 No
└─ embedding_dependency object A representation of a data vectorization source usable as an embedding resource with a data source. No
└─ type AzureChatDataSourceVectorizationSourceType The differentiating identifier for the concrete vectorization source. No
└─ environment string The environment name to use with Pinecone. No
└─ fields_mapping object Field mappings to apply to data used by the Pinecone data source.
Note that content field mappings are required for Pinecone.		 No
└─ content_fields array No
└─ content_fields_separator string No
└─ filepath_field string No
└─ title_field string No
└─ url_field string No
└─ in_scope boolean Whether queries should be restricted to use of the indexed data. No
└─ include_contexts array The output context properties to include on the response.
By default, citations and intent will be requested.		 No ['citations', 'intent']
└─ index_name string The name of the Pinecone database index to use. No
└─ max_search_queries integer The maximum number of rewritten queries that should be sent to the search provider for a single user message.
By default, the system will make an automatic determination.		 No
└─ strictness integer The configured strictness of the search relevance filtering.
Higher strictness will increase precision but lower recall of the answer.		 No
└─ top_n_documents integer The configured number of documents to feature in the query. No
type enum The discriminated type identifier, which is always 'pinecone'.
Possible values: pinecone		 Yes

ResponseFormatJSONSchemaRequest

Name Type Description Required Default
json_schema object JSON Schema for the response format Yes
type enum Type of response format
Possible values: json_schema		 Yes

ResponseModalities

Output types that you would like the model to generate. Most models are capable of generating text, which is the default:

["text"]

The gpt-4o-audio-preview model can also be used to generate audio. To request that this model generate both text and audio responses, you can use:

["text", "audio"]

Array of: string