--- title: "Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides. Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of unsupported parameters in reasoning models, [refer to the reasoning guide](/docs/guides/reasoning)." url: "https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1/operations/createChatCompletion" --- > Full API specification: https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1.md # Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides. Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of unsupported parameters in reasoning models, [refer to the reasoning guide](/docs/guides/reasoning). `POST` `/chat/completions` Operation ID: `createChatCompletion` ## Request body (required) Content types: `application/json` ## Responses - `200` - OK ## OpenAPI definition ```yaml openapi: 3.0.0 info: title: OpenAI API version: 2.3.0 servers: - url: https://api.openai.com/v1 paths: /chat/completions: post: operationId: createChatCompletion tags: - Chat summary: > Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides. Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of unsupported parameters in reasoning models, [refer to the reasoning guide](/docs/guides/reasoning). requestBody: required: true content: application/json: schema: $ref: "#/components/schemas/CreateChatCompletionRequest" responses: "200": description: OK content: application/json: schema: $ref: "#/components/schemas/CreateChatCompletionResponse" text/event-stream: schema: $ref: "#/components/schemas/CreateChatCompletionStreamResponse" x-oaiMeta: name: Create chat completion group: chat returns: > Returns a [chat completion](/docs/api-reference/chat/object) object, or a streamed sequence of [chat completion chunk](/docs/api-reference/chat/streaming) objects if the request is streamed. path: create examples: - title: Default request: curl: | curl https://api.openai.com/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "VAR_chat_model_id", "messages": [ { "role": "developer", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello!" } ] }' python: > from openai import OpenAI client = OpenAI() completion = client.chat.completions.create( model="VAR_chat_model_id", messages=[ {"role": "developer", "content": "You are a helpful assistant."}, {"role": "user", "content": "Hello!"} ] ) print(completion.choices[0].message) node.js: >- import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const completion = await openai.chat.completions.create({ messages: [{ role: "developer", content: "You are a helpful assistant." }], model: "VAR_chat_model_id", store: true, }); console.log(completion.choices[0]); } main(); response: | { "id": "chatcmpl-123", "object": "chat.completion", "created": 1677652288, "model": "gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices": [{ "index": 0, "message": { "role": "assistant", "content": "\n\nHello there, how may I assist you today?", }, "logprobs": null, "finish_reason": "stop" }], "service_tier": "default", "usage": { "prompt_tokens": 9, "completion_tokens": 12, "total_tokens": 21, "completion_tokens_details": { "reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } } } - title: Image input request: curl: > curl https://api.openai.com/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "gpt-4o", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "What'\''s in this image?" }, { "type": "image_url", "image_url": { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" } } ] } ], "max_tokens": 300 }' python: > from openai import OpenAI client = OpenAI() response = client.chat.completions.create( model="gpt-4o", messages=[ { "role": "user", "content": [ {"type": "text", "text": "What's in this image?"}, { "type": "image_url", "image_url": { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", } }, ], } ], max_tokens=300, ) print(response.choices[0]) node.js: >- import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const response = await openai.chat.completions.create({ model: "gpt-4o", messages: [ { role: "user", content: [ { type: "text", text: "What's in this image?" }, { type: "image_url", image_url: { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", }, } ], }, ], store: true, }); console.log(response.choices[0]); } main(); response: > { "id": "chatcmpl-123", "object": "chat.completion", "created": 1677652288, "model": "gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices": [{ "index": 0, "message": { "role": "assistant", "content": "\n\nThis image shows a wooden boardwalk extending through a lush green marshland.", }, "logprobs": null, "finish_reason": "stop" }], "usage": { "prompt_tokens": 9, "completion_tokens": 12, "total_tokens": 21, "completion_tokens_details": { "reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } } } - title: Streaming request: curl: | curl https://api.openai.com/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "VAR_chat_model_id", "messages": [ { "role": "developer", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello!" } ], "stream": true }' python: > from openai import OpenAI client = OpenAI() completion = client.chat.completions.create( model="VAR_chat_model_id", messages=[ {"role": "developer", "content": "You are a helpful assistant."}, {"role": "user", "content": "Hello!"} ], stream=True ) for chunk in completion: print(chunk.choices[0].delta) node.js: >- import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const completion = await openai.chat.completions.create({ model: "VAR_chat_model_id", messages: [ {"role": "developer", "content": "You are a helpful assistant."}, {"role": "user", "content": "Hello!"} ], store: true, stream: true, }); for await (const chunk of completion) { console.log(chunk.choices[0].delta.content); } } main(); response: | {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]} .... {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} - title: Functions request: curl: > curl https://api.openai.com/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "gpt-4o", "messages": [ { "role": "user", "content": "What'\''s the weather like in Boston today?" } ], "tools": [ { "type": "function", "function": { "name": "get_current_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA" }, "unit": { "type": "string", "enum": ["celsius", "fahrenheit"] } }, "required": ["location"] } } } ], "tool_choice": "auto" }' python: > from openai import OpenAI client = OpenAI() tools = [ { "type": "function", "function": { "name": "get_current_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA", }, "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, }, "required": ["location"], }, } } ] messages = [{"role": "user", "content": "What's the weather like in Boston today?"}] completion = client.chat.completions.create( model="VAR_chat_model_id", messages=messages, tools=tools, tool_choice="auto" ) print(completion) node.js: >- import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]; const tools = [ { "type": "function", "function": { "name": "get_current_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA", }, "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, }, "required": ["location"], }, } } ]; const response = await openai.chat.completions.create({ model: "gpt-4o", messages: messages, tools: tools, tool_choice: "auto", store: true, }); console.log(response); } main(); response: | { "id": "chatcmpl-abc123", "object": "chat.completion", "created": 1699896916, "model": "gpt-4o-mini", "choices": [ { "index": 0, "message": { "role": "assistant", "content": null, "tool_calls": [ { "id": "call_abc123", "type": "function", "function": { "name": "get_current_weather", "arguments": "{\n\"location\": \"Boston, MA\"\n}" } } ] }, "logprobs": null, "finish_reason": "tool_calls" } ], "usage": { "prompt_tokens": 82, "completion_tokens": 17, "total_tokens": 99, "completion_tokens_details": { "reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } } } - title: Logprobs request: curl: | curl https://api.openai.com/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "model": "VAR_chat_model_id", "messages": [ { "role": "user", "content": "Hello!" } ], "logprobs": true, "top_logprobs": 2 }' python: | from openai import OpenAI client = OpenAI() completion = client.chat.completions.create( model="VAR_chat_model_id", messages=[ {"role": "user", "content": "Hello!"} ], logprobs=True, top_logprobs=2 ) print(completion.choices[0].message) print(completion.choices[0].logprobs) node.js: |- import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const completion = await openai.chat.completions.create({ messages: [{ role: "user", content: "Hello!" }], model: "VAR_chat_model_id", store: true, logprobs: true, top_logprobs: 2, }); console.log(completion.choices[0]); } main(); response: | { "id": "chatcmpl-123", "object": "chat.completion", "created": 1702685778, "model": "gpt-4o-mini", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Hello! How can I assist you today?" }, "logprobs": { "content": [ { "token": "Hello", "logprob": -0.31725305, "bytes": [72, 101, 108, 108, 111], "top_logprobs": [ { "token": "Hello", "logprob": -0.31725305, "bytes": [72, 101, 108, 108, 111] }, { "token": "Hi", "logprob": -1.3190403, "bytes": [72, 105] } ] }, { "token": "!", "logprob": -0.02380986, "bytes": [ 33 ], "top_logprobs": [ { "token": "!", "logprob": -0.02380986, "bytes": [33] }, { "token": " there", "logprob": -3.787621, "bytes": [32, 116, 104, 101, 114, 101] } ] }, { "token": " How", "logprob": -0.000054669687, "bytes": [32, 72, 111, 119], "top_logprobs": [ { "token": " How", "logprob": -0.000054669687, "bytes": [32, 72, 111, 119] }, { "token": "<|end|>", "logprob": -10.953937, "bytes": null } ] }, { "token": " can", "logprob": -0.015801601, "bytes": [32, 99, 97, 110], "top_logprobs": [ { "token": " can", "logprob": -0.015801601, "bytes": [32, 99, 97, 110] }, { "token": " may", "logprob": -4.161023, "bytes": [32, 109, 97, 121] } ] }, { "token": " I", "logprob": -3.7697225e-6, "bytes": [ 32, 73 ], "top_logprobs": [ { "token": " I", "logprob": -3.7697225e-6, "bytes": [32, 73] }, { "token": " assist", "logprob": -13.596657, "bytes": [32, 97, 115, 115, 105, 115, 116] } ] }, { "token": " assist", "logprob": -0.04571125, "bytes": [32, 97, 115, 115, 105, 115, 116], "top_logprobs": [ { "token": " assist", "logprob": -0.04571125, "bytes": [32, 97, 115, 115, 105, 115, 116] }, { "token": " help", "logprob": -3.1089056, "bytes": [32, 104, 101, 108, 112] } ] }, { "token": " you", "logprob": -5.4385737e-6, "bytes": [32, 121, 111, 117], "top_logprobs": [ { "token": " you", "logprob": -5.4385737e-6, "bytes": [32, 121, 111, 117] }, { "token": " today", "logprob": -12.807695, "bytes": [32, 116, 111, 100, 97, 121] } ] }, { "token": " today", "logprob": -0.0040071653, "bytes": [32, 116, 111, 100, 97, 121], "top_logprobs": [ { "token": " today", "logprob": -0.0040071653, "bytes": [32, 116, 111, 100, 97, 121] }, { "token": "?", "logprob": -5.5247097, "bytes": [63] } ] }, { "token": "?", "logprob": -0.0008108172, "bytes": [63], "top_logprobs": [ { "token": "?", "logprob": -0.0008108172, "bytes": [63] }, { "token": "?\n", "logprob": -7.184561, "bytes": [63, 10] } ] } ] }, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 9, "completion_tokens": 9, "total_tokens": 18, "completion_tokens_details": { "reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": null } security: - ApiKeyAuth: [] components: schemas: CreateChatCompletionRequest: type: object properties: messages: description: > A list of messages comprising the conversation so far. Depending on the [model](/docs/models) you use, different message types (modalities) are supported, like [text](/docs/guides/text-generation), [images](/docs/guides/vision), and [audio](/docs/guides/audio). type: array minItems: 1 items: $ref: "#/components/schemas/ChatCompletionRequestMessage" model: description: ID of the model to use. See the [model endpoint compatibility](/docs/models#model-endpoint-compatibility) table for details on which models work with the Chat API. example: gpt-4o anyOf: - type: string - type: string enum: - o3-mini - o3-mini-2025-01-31 - o1 - o1-2024-12-17 - o1-preview - o1-preview-2024-09-12 - o1-mini - o1-mini-2024-09-12 - gpt-4o - gpt-4o-2024-11-20 - gpt-4o-2024-08-06 - gpt-4o-2024-05-13 - gpt-4o-audio-preview - gpt-4o-audio-preview-2024-10-01 - gpt-4o-audio-preview-2024-12-17 - gpt-4o-mini-audio-preview - gpt-4o-mini-audio-preview-2024-12-17 - chatgpt-4o-latest - gpt-4o-mini - gpt-4o-mini-2024-07-18 - gpt-4-turbo - gpt-4-turbo-2024-04-09 - gpt-4-0125-preview - gpt-4-turbo-preview - gpt-4-1106-preview - gpt-4-vision-preview - gpt-4 - gpt-4-0314 - gpt-4-0613 - gpt-4-32k - gpt-4-32k-0314 - gpt-4-32k-0613 - gpt-3.5-turbo - gpt-3.5-turbo-16k - gpt-3.5-turbo-0301 - gpt-3.5-turbo-0613 - gpt-3.5-turbo-1106 - gpt-3.5-turbo-0125 - gpt-3.5-turbo-16k-0613 x-oaiTypeLabel: string store: type: boolean default: false nullable: true description: > Whether or not to store the output of this chat completion request for use in our [model distillation](/docs/guides/distillation) or [evals](/docs/guides/evals) products. reasoning_effort: $ref: "#/components/schemas/ReasoningEffort" metadata: $ref: "#/components/schemas/Metadata" frequency_penalty: type: number default: 0 minimum: -2 maximum: 2 nullable: true description: > 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. logit_bias: type: object x-oaiTypeLabel: map default: null nullable: true additionalProperties: type: integer description: > 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. logprobs: description: > 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`. type: boolean default: false nullable: true top_logprobs: description: > 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. `logprobs` must be set to `true` if this parameter is used. type: integer minimum: 0 maximum: 20 nullable: true max_tokens: description: > The maximum number of [tokens](/tokenizer) that can be generated in the chat completion. This value can be used to control [costs](https://openai.com/api/pricing/) for text generated via API. This value is now deprecated in favor of `max_completion_tokens`, and is not compatible with [o1 series models](/docs/guides/reasoning). type: integer nullable: true deprecated: true max_completion_tokens: description: > An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and [reasoning tokens](/docs/guides/reasoning). type: integer nullable: true n: type: integer minimum: 1 maximum: 128 default: 1 example: 1 nullable: true description: 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. modalities: $ref: "#/components/schemas/ChatCompletionModalities" prediction: nullable: true x-oaiExpandable: true description: > Configuration for a [Predicted Output](/docs/guides/predicted-outputs), which can greatly improve response times when large parts of the model response are known ahead of time. This is most common when you are regenerating a file with only minor changes to most of the content. oneOf: - $ref: "#/components/schemas/PredictionContent" audio: type: object nullable: true description: > Parameters for audio output. Required when audio output is requested with `modalities: ["audio"]`. [Learn more](/docs/guides/audio). required: - voice - format x-oaiExpandable: true properties: voice: type: string enum: - alloy - ash - ballad - coral - echo - sage - shimmer - verse description: > The voice the model uses to respond. Supported voices are `ash`, `ballad`, `coral`, `sage`, and `verse` (also supported but not recommended are `alloy`, `echo`, and `shimmer`; these voices are less expressive). format: type: string enum: - wav - mp3 - flac - opus - pcm16 description: > Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`, or `pcm16`. presence_penalty: type: number default: 0 minimum: -2 maximum: 2 nullable: true description: > 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. response_format: description: > An object specifying the format that the model must output. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the [Structured Outputs guide](/docs/guides/structured-outputs). Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the message the model generates is valid JSON. **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length. oneOf: - $ref: "#/components/schemas/ResponseFormatText" - $ref: "#/components/schemas/ResponseFormatJsonObject" - $ref: "#/components/schemas/ResponseFormatJsonSchema" x-oaiExpandable: true seed: type: integer format: int64 nullable: true description: > 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. x-oaiMeta: beta: true service_tier: description: > Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service: - If set to 'auto', and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted. - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee. - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee. - When not set, the default behavior is 'auto'. type: string enum: - auto - default nullable: true default: auto stop: description: | Up to 4 sequences where the API will stop generating further tokens. default: null oneOf: - type: string nullable: true - type: array minItems: 1 maxItems: 4 items: type: string stream: description: | If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). type: boolean nullable: true default: false stream_options: $ref: "#/components/schemas/ChatCompletionStreamOptions" temperature: type: number minimum: 0 maximum: 2 default: 1 example: 1 nullable: true description: > 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. top_p: type: number minimum: 0 maximum: 1 default: 1 example: 1 nullable: true description: > 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. tools: type: array description: > 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. items: $ref: "#/components/schemas/ChatCompletionTool" tool_choice: $ref: "#/components/schemas/ChatCompletionToolChoiceOption" parallel_tool_calls: $ref: "#/components/schemas/ParallelToolCalls" user: type: string example: user-1234 description: > A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids). function_call: deprecated: true description: > Deprecated in favor of `tool_choice`. Controls which (if any) function is called by the model. `none` means the model will not call a function and instead generates a message. `auto` means the model can pick between generating a message or calling a function. Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. `none` is the default when no functions are present. `auto` is the default if functions are present. oneOf: - type: string description: > `none` means the model will not call a function and instead generates a message. `auto` means the model can pick between generating a message or calling a function. enum: - none - auto - $ref: "#/components/schemas/ChatCompletionFunctionCallOption" x-oaiExpandable: true functions: deprecated: true description: | Deprecated in favor of `tools`. A list of functions the model may generate JSON inputs for. type: array minItems: 1 maxItems: 128 items: $ref: "#/components/schemas/ChatCompletionFunctions" required: - model - messages CreateChatCompletionResponse: type: object description: Represents a chat completion response returned by model, based on the provided input. properties: id: type: string description: A unique identifier for the chat completion. choices: type: array description: A list of chat completion choices. Can be more than one if `n` is greater than 1. items: type: object required: - finish_reason - index - message - logprobs properties: finish_reason: type: string description: > The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, `length` if the maximum number of tokens specified in the request was reached, `content_filter` if content was omitted due to a flag from our content filters, `tool_calls` if the model called a tool, or `function_call` (deprecated) if the model called a function. enum: - stop - length - tool_calls - content_filter - function_call index: type: integer description: The index of the choice in the list of choices. message: $ref: "#/components/schemas/ChatCompletionResponseMessage" logprobs: description: Log probability information for the choice. type: object nullable: true properties: content: description: A list of message content tokens with log probability information. type: array items: $ref: "#/components/schemas/ChatCompletionTokenLogprob" nullable: true refusal: description: A list of message refusal tokens with log probability information. type: array items: $ref: "#/components/schemas/ChatCompletionTokenLogprob" nullable: true required: - content - refusal created: type: integer description: The Unix timestamp (in seconds) of when the chat completion was created. model: type: string description: The model used for the chat completion. service_tier: description: The service tier used for processing the request. type: string enum: - scale - default example: scale nullable: true system_fingerprint: type: string description: > 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. object: type: string description: The object type, which is always `chat.completion`. enum: - chat.completion x-stainless-const: true usage: $ref: "#/components/schemas/CompletionUsage" required: - choices - created - id - model - object x-oaiMeta: name: The chat completion object group: chat example: | { "id": "chatcmpl-123456", "object": "chat.completion", "created": 1728933352, "model": "gpt-4o-2024-08-06", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Hi there! How can I assist you today?", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 19, "completion_tokens": 10, "total_tokens": 29, "prompt_tokens_details": { "cached_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_6b68a8204b" } CreateChatCompletionStreamResponse: type: object description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input. properties: id: type: string description: A unique identifier for the chat completion. Each chunk has the same ID. choices: type: array description: > 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}`. items: type: object required: - delta - finish_reason - index properties: delta: $ref: "#/components/schemas/ChatCompletionStreamResponseDelta" logprobs: description: Log probability information for the choice. type: object nullable: true properties: content: description: A list of message content tokens with log probability information. type: array items: $ref: "#/components/schemas/ChatCompletionTokenLogprob" nullable: true refusal: description: A list of message refusal tokens with log probability information. type: array items: $ref: "#/components/schemas/ChatCompletionTokenLogprob" nullable: true required: - content - refusal finish_reason: type: string description: > The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, `length` if the maximum number of tokens specified in the request was reached, `content_filter` if content was omitted due to a flag from our content filters, `tool_calls` if the model called a tool, or `function_call` (deprecated) if the model called a function. enum: - stop - length - tool_calls - content_filter - function_call nullable: true index: type: integer description: The index of the choice in the list of choices. created: type: integer description: The Unix timestamp (in seconds) of when the chat completion was created. Each chunk has the same timestamp. model: type: string description: The model to generate the completion. service_tier: description: The service tier used for processing the request. type: string enum: - scale - default example: scale nullable: true system_fingerprint: type: string description: > 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. object: type: string description: The object type, which is always `chat.completion.chunk`. enum: - chat.completion.chunk x-stainless-const: true usage: type: object nullable: true description: > An optional field that will only be present when you set `stream_options: {"include_usage": true}` in your request. When present, it contains a null value except for the last chunk which contains the token usage statistics for the entire request. properties: completion_tokens: type: integer description: Number of tokens in the generated completion. prompt_tokens: type: integer description: Number of tokens in the prompt. total_tokens: type: integer description: Total number of tokens used in the request (prompt + completion). required: - prompt_tokens - completion_tokens - total_tokens required: - choices - created - id - model - object x-oaiMeta: name: The chat completion chunk object group: chat example: | {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]} .... {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} ChatCompletionRequestMessage: oneOf: - $ref: "#/components/schemas/ChatCompletionRequestDeveloperMessage" - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage" - $ref: "#/components/schemas/ChatCompletionRequestUserMessage" - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage" - $ref: "#/components/schemas/ChatCompletionRequestToolMessage" - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage" x-oaiExpandable: true ReasoningEffort: type: string enum: - low - medium - high default: medium nullable: true description: | **o1 and o3-mini models only** Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). 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. Metadata: type: object description: > 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. additionalProperties: type: string x-oaiTypeLabel: map nullable: true ChatCompletionModalities: type: array nullable: true description: > Output types that you would like the model to generate for this request. 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](/docs/guides/audio). To request that this model generate both text and audio responses, you can use: `["text", "audio"]` items: type: string enum: - text - audio PredictionContent: type: object title: Static Content description: > Static predicted output content, such as the content of a text file that is being regenerated. required: - type - content properties: type: type: string enum: - content description: | The type of the predicted content you want to provide. This type is currently always `content`. x-stainless-const: true content: x-oaiExpandable: true description: > The content that should be matched when generating a model response. If generated tokens would match this content, the entire model response can be returned much more quickly. oneOf: - type: string title: Text content description: | The content used for a Predicted Output. This is often the text of a file you are regenerating with minor changes. - type: array description: An array of content parts with a defined type. Supported options differ based on the [model](/docs/models) being used to generate the response. Can contain text inputs. title: Array of content parts items: $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" minItems: 1 ResponseFormatText: type: object properties: type: type: string description: "The type of response format being defined: `text`" enum: - text x-stainless-const: true required: - type ResponseFormatJsonObject: type: object properties: type: type: string description: "The type of response format being defined: `json_object`" enum: - json_object x-stainless-const: true required: - type ResponseFormatJsonSchema: type: object properties: type: type: string description: "The type of response format being defined: `json_schema`" enum: - json_schema x-stainless-const: true json_schema: type: object properties: description: type: string description: A description of what the response format is for, used by the model to determine how to respond in the format. name: type: string description: 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. schema: $ref: "#/components/schemas/ResponseFormatJsonSchemaSchema" strict: type: boolean nullable: true default: false description: 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](/docs/guides/structured-outputs). required: - name required: - type - json_schema ChatCompletionStreamOptions: description: > Options for streaming response. Only set this when you set `stream: true`. type: object nullable: true default: null properties: include_usage: type: boolean description: > 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. ChatCompletionTool: type: object properties: type: type: string enum: - function description: The type of the tool. Currently, only `function` is supported. x-stainless-const: true function: $ref: "#/components/schemas/FunctionObject" required: - type - function ChatCompletionToolChoiceOption: 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. 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. oneOf: - type: string description: > `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. enum: - none - auto - required - $ref: "#/components/schemas/ChatCompletionNamedToolChoice" x-oaiExpandable: true ParallelToolCalls: description: Whether to enable [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. type: boolean default: true ChatCompletionFunctionCallOption: type: object description: > Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. properties: name: type: string description: The name of the function to call. required: - name ChatCompletionFunctions: type: object deprecated: true properties: description: type: string description: A description of what the function does, used by the model to choose when and how to call the function. name: type: string description: 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. parameters: $ref: "#/components/schemas/FunctionParameters" required: - name ChatCompletionResponseMessage: type: object description: A chat completion message generated by the model. properties: content: type: string description: The contents of the message. nullable: true refusal: type: string description: The refusal message generated by the model. nullable: true tool_calls: $ref: "#/components/schemas/ChatCompletionMessageToolCalls" role: type: string enum: - assistant description: The role of the author of this message. x-stainless-const: true function_call: type: object deprecated: true description: Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model. properties: arguments: type: string description: 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. name: type: string description: The name of the function to call. required: - name - arguments audio: type: object nullable: true description: > If the audio output modality is requested, this object contains data about the audio response from the model. [Learn more](/docs/guides/audio). x-oaiExpandable: true required: - id - expires_at - data - transcript properties: id: type: string description: Unique identifier for this audio response. expires_at: type: integer description: > The Unix timestamp (in seconds) for when this audio response will no longer be accessible on the server for use in multi-turn conversations. data: type: string description: | Base64 encoded audio bytes generated by the model, in the format specified in the request. transcript: type: string description: Transcript of the audio generated by the model. required: - role - content - refusal ChatCompletionTokenLogprob: type: object properties: token: description: The token. type: string logprob: description: 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. type: number bytes: description: 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. type: array items: type: integer nullable: true top_logprobs: description: 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. type: array items: type: object properties: token: description: The token. type: string logprob: description: 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. type: number bytes: description: 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. type: array items: type: integer nullable: true required: - token - logprob - bytes required: - token - logprob - bytes - top_logprobs CompletionUsage: type: object description: Usage statistics for the completion request. properties: completion_tokens: type: integer default: 0 description: Number of tokens in the generated completion. prompt_tokens: type: integer default: 0 description: Number of tokens in the prompt. total_tokens: type: integer default: 0 description: Total number of tokens used in the request (prompt + completion). completion_tokens_details: type: object description: Breakdown of tokens used in a completion. properties: accepted_prediction_tokens: type: integer default: 0 description: | When using Predicted Outputs, the number of tokens in the prediction that appeared in the completion. audio_tokens: type: integer default: 0 description: Audio input tokens generated by the model. reasoning_tokens: type: integer default: 0 description: Tokens generated by the model for reasoning. rejected_prediction_tokens: type: integer default: 0 description: > 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. prompt_tokens_details: type: object description: Breakdown of tokens used in the prompt. properties: audio_tokens: type: integer default: 0 description: Audio input tokens present in the prompt. cached_tokens: type: integer default: 0 description: Cached tokens present in the prompt. required: - prompt_tokens - completion_tokens - total_tokens ChatCompletionStreamResponseDelta: type: object description: A chat completion delta generated by streamed model responses. properties: content: type: string description: The contents of the chunk message. nullable: true function_call: deprecated: true type: object description: Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model. properties: arguments: type: string description: 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. name: type: string description: The name of the function to call. tool_calls: type: array items: $ref: "#/components/schemas/ChatCompletionMessageToolCallChunk" role: type: string enum: - developer - system - user - assistant - tool description: The role of the author of this message. refusal: type: string description: The refusal message generated by the model. nullable: true ChatCompletionRequestDeveloperMessage: type: object title: Developer message description: > 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. properties: content: description: The contents of the developer message. oneOf: - type: string description: The contents of the developer message. title: Text content - type: array description: An array of content parts with a defined type. For developer messages, only type `text` is supported. title: Array of content parts items: $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" minItems: 1 role: type: string enum: - developer description: The role of the messages author, in this case `developer`. x-stainless-const: true name: type: string description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. required: - content - role ChatCompletionRequestSystemMessage: type: object title: System message description: > 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. properties: content: description: The contents of the system message. oneOf: - type: string description: The contents of the system message. title: Text content - type: array description: An array of content parts with a defined type. For system messages, only type `text` is supported. title: Array of content parts items: $ref: "#/components/schemas/ChatCompletionRequestSystemMessageContentPart" minItems: 1 role: type: string enum: - system description: The role of the messages author, in this case `system`. x-stainless-const: true name: type: string description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. required: - content - role ChatCompletionRequestUserMessage: type: object title: User message description: | Messages sent by an end user, containing prompts or additional context information. properties: content: description: | The contents of the user message. oneOf: - type: string description: The text contents of the message. title: Text content - type: array description: An array of content parts with a defined type. Supported options differ based on the [model](/docs/models) being used to generate the response. Can contain text, image, or audio inputs. title: Array of content parts items: $ref: "#/components/schemas/ChatCompletionRequestUserMessageContentPart" minItems: 1 x-oaiExpandable: true role: type: string enum: - user description: The role of the messages author, in this case `user`. x-stainless-const: true name: type: string description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. required: - content - role ChatCompletionRequestAssistantMessage: type: object title: Assistant message description: | Messages sent by the model in response to user messages. properties: content: x-oaiExpandable: true nullable: true oneOf: - type: string description: The contents of the assistant message. title: Text content - type: array description: An array of content parts with a defined type. Can be one or more of type `text`, or exactly one of type `refusal`. title: Array of content parts items: $ref: "#/components/schemas/ChatCompletionRequestAssistantMessageContentPart" minItems: 1 description: > The contents of the assistant message. Required unless `tool_calls` or `function_call` is specified. refusal: nullable: true type: string description: The refusal message by the assistant. role: type: string enum: - assistant description: The role of the messages author, in this case `assistant`. x-stainless-const: true name: type: string description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. audio: type: object nullable: true x-oaiExpandable: true description: | Data about a previous audio response from the model. [Learn more](/docs/guides/audio). required: - id properties: id: type: string description: | Unique identifier for a previous audio response from the model. tool_calls: $ref: "#/components/schemas/ChatCompletionMessageToolCalls" function_call: type: object deprecated: true description: Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model. nullable: true properties: arguments: type: string description: 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. name: type: string description: The name of the function to call. required: - arguments - name required: - role ChatCompletionRequestToolMessage: type: object title: Tool message properties: role: type: string enum: - tool description: The role of the messages author, in this case `tool`. x-stainless-const: true content: oneOf: - type: string description: The contents of the tool message. title: Text content - type: array description: An array of content parts with a defined type. For tool messages, only type `text` is supported. title: Array of content parts items: $ref: "#/components/schemas/ChatCompletionRequestToolMessageContentPart" minItems: 1 description: The contents of the tool message. tool_call_id: type: string description: Tool call that this message is responding to. required: - role - content - tool_call_id ChatCompletionRequestFunctionMessage: type: object title: Function message deprecated: true properties: role: type: string enum: - function description: The role of the messages author, in this case `function`. x-stainless-const: true content: nullable: true type: string description: The contents of the function message. name: type: string description: The name of the function to call. required: - role - content - name ChatCompletionRequestMessageContentPartText: type: object title: Text content part description: | Learn about [text inputs](/docs/guides/text-generation). properties: type: type: string enum: - text description: The type of the content part. x-stainless-const: true text: type: string description: The text content. required: - type - text ResponseFormatJsonSchemaSchema: type: object description: The schema for the response format, described as a JSON Schema object. additionalProperties: true FunctionObject: type: object properties: description: type: string description: A description of what the function does, used by the model to choose when and how to call the function. name: type: string description: 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. parameters: $ref: "#/components/schemas/FunctionParameters" strict: type: boolean nullable: true default: false description: 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](docs/guides/function-calling). required: - name ChatCompletionNamedToolChoice: type: object description: Specifies a tool the model should use. Use to force the model to call a specific function. properties: type: type: string enum: - function description: The type of the tool. Currently, only `function` is supported. x-stainless-const: true function: type: object properties: name: type: string description: The name of the function to call. required: - name required: - type - function FunctionParameters: type: object description: >- The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. Omitting `parameters` defines a function with an empty parameter list. additionalProperties: true ChatCompletionMessageToolCalls: type: array description: The tool calls generated by the model, such as function calls. items: $ref: "#/components/schemas/ChatCompletionMessageToolCall" ChatCompletionMessageToolCallChunk: type: object properties: index: type: integer id: type: string description: The ID of the tool call. type: type: string enum: - function description: The type of the tool. Currently, only `function` is supported. x-stainless-const: true function: type: object properties: name: type: string description: The name of the function to call. arguments: type: string description: 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. required: - index ChatCompletionRequestSystemMessageContentPart: oneOf: - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" x-oaiExpandable: true ChatCompletionRequestUserMessageContentPart: oneOf: - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartImage" - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartAudio" x-oaiExpandable: true ChatCompletionRequestAssistantMessageContentPart: oneOf: - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartRefusal" x-oaiExpandable: true ChatCompletionRequestToolMessageContentPart: oneOf: - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" x-oaiExpandable: true ChatCompletionMessageToolCall: type: object properties: id: type: string description: The ID of the tool call. type: type: string enum: - function description: The type of the tool. Currently, only `function` is supported. x-stainless-const: true function: type: object description: The function that the model called. properties: name: type: string description: The name of the function to call. arguments: type: string description: 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. required: - name - arguments required: - id - type - function ChatCompletionRequestMessageContentPartImage: type: object title: Image content part description: | Learn about [image inputs](/docs/guides/vision). properties: type: type: string enum: - image_url description: The type of the content part. x-stainless-const: true image_url: type: object properties: url: type: string description: Either a URL of the image or the base64 encoded image data. format: uri detail: type: string description: Specifies the detail level of the image. Learn more in the [Vision guide](/docs/guides/vision#low-or-high-fidelity-image-understanding). enum: - auto - low - high default: auto required: - url required: - type - image_url ChatCompletionRequestMessageContentPartAudio: type: object title: Audio content part description: | Learn about [audio inputs](/docs/guides/audio). properties: type: type: string enum: - input_audio description: The type of the content part. Always `input_audio`. x-stainless-const: true input_audio: type: object properties: data: type: string description: Base64 encoded audio data. format: type: string enum: - wav - mp3 description: > The format of the encoded audio data. Currently supports "wav" and "mp3". required: - data - format required: - type - input_audio ChatCompletionRequestMessageContentPartRefusal: type: object title: Refusal content part properties: type: type: string enum: - refusal description: The type of the content part. x-stainless-const: true refusal: type: string description: The refusal message generated by the model. required: - type - refusal securitySchemes: ApiKeyAuth: type: http scheme: bearer ```