> ## Documentation Index > Fetch the complete documentation index at: https://mulerouter.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Create Chat Completion > Creates a new chat completion for the given model and prompt. This API is compatible with OpenAI's format. For more details, please refer to OpenAI's [official documentation](https://platform.openai.com/docs/api-reference/chat). Not all models support all parameters. ## OpenAPI ````yaml api-reference/endpoint/openai/openai.yaml POST /vendors/openai/v1/chat/completions openapi: 3.1.0 info: title: OpenAI description: OpenAI API license: name: MIT version: 1.0.0 servers: - url: https://api.mulerouter.ai/ security: - bearerAuth: [] paths: /vendors/openai/v1/chat/completions: post: tags: - Chat summary: Create chat completion description: Creates a new chat completion for the given model and prompt. operationId: createChatCompletion requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CreateChatCompletionRequest' example: model: qwen3-max messages: - role: system content: You are a helpful assistant. - role: user content: Hello! How are you? responses: '200': description: OK content: application/json: schema: $ref: '#/components/schemas/CreateChatCompletionResponse' example: id: chatcmpl-fJ5wOo5nqnWz2Z9jkF4NK object: chat.completion created: 1715392980 model: qwen3-max choices: - index: 0 message: role: assistant content: Hello! How are you? refusal: null annotations: [] logprobs: null finish_reason: stop usage: prompt_tokens: 10 completion_tokens: 10 total_tokens: 20 prompt_tokens_details: cached_tokens: 0 audio_tokens: 0 completion_tokens_details: cached_tokens: 0 audio_tokens: 0 accepted_prediction_tokens: 0 rejected_prediction_tokens: 0 text/event-stream: schema: $ref: '#/components/schemas/CreateChatCompletionStreamResponse' components: schemas: CreateChatCompletionRequest: allOf: - $ref: '#/components/schemas/CreateModelResponseProperties' - type: object properties: messages: description: > 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. type: array minItems: 1 items: $ref: '#/components/schemas/ChatCompletionRequestMessage' model: $ref: '#/components/schemas/ModelIdsShared' description: > Model ID used to generate the response, like `qwen3-max` or `gpt-5`. Mulerouter offers a wide range of models with different capabilities, performance characteristics, and price points. to browse and compare available models. modalities: $ref: '#/components/schemas/ResponseModalities' verbosity: $ref: '#/components/schemas/Verbosity' reasoning_effort: $ref: '#/components/schemas/ReasoningEffort' 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. type: integer nullable: true 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. 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. web_search_options: type: object title: Web search description: > This tool searches the web for relevant results to use in a response. properties: user_location: type: object nullable: true required: - type - approximate description: | Approximate location parameters for the search. properties: type: type: string description: > The type of location approximation. Always `approximate`. enum: - approximate x-stainless-const: true approximate: $ref: '#/components/schemas/WebSearchLocation' search_context_size: $ref: '#/components/schemas/WebSearchContextSize' 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 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. 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. anyOf: - $ref: '#/components/schemas/ResponseFormatText' - $ref: '#/components/schemas/ResponseFormatJsonSchema' - $ref: '#/components/schemas/ResponseFormatJsonObject' audio: type: object nullable: true description: > Parameters for audio output. Required when audio output is requested with `modalities: ["audio"]`. required: - voice - format properties: voice: $ref: '#/components/schemas/VoiceIdsShared' description: > The voice the model uses to respond. Supported voices are `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `nova`, `onyx`, `sage`, and `shimmer`. format: type: string enum: - wav - aac - mp3 - flac - opus - pcm16 description: > Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`, or `pcm16`. 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 or evals products. Supports text and image inputs. Note: image inputs over 8MB will be dropped. stream: description: > If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). type: boolean nullable: true default: false stop: $ref: '#/components/schemas/StopConfiguration' 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 max_tokens: description: > 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 o-series models. type: integer nullable: true deprecated: 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. prediction: nullable: true description: > Configuration for a Predicted Output 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. anyOf: - $ref: '#/components/schemas/PredictionContent' discriminator: propertyName: type seed: type: integer minimum: -9223372036854776000 maximum: 9223372036854776000 nullable: true deprecated: 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 stream_options: $ref: '#/components/schemas/ChatCompletionStreamOptions' tools: type: array description: | A list of tools the model may call. You can provide either custom tools or function tools. items: anyOf: - $ref: '#/components/schemas/ChatCompletionTool' - $ref: '#/components/schemas/CustomToolChatCompletions' x-stainless-naming: python: model_name: chat_completion_tool_union param_model_name: chat_completion_tool_union_param discriminator: propertyName: type x-stainless-go-variant-constructor: naming: chat_completion_{variant}_tool tool_choice: $ref: '#/components/schemas/ChatCompletionToolChoiceOption' parallel_tool_calls: $ref: '#/components/schemas/ParallelToolCalls' 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. anyOf: - 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 title: function call mode - $ref: '#/components/schemas/ChatCompletionFunctionCallOption' 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: $ref: '#/components/schemas/ServiceTier' system_fingerprint: type: string deprecated: true 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-B9MHDbslfkBeAs8l4bebGdFOJ6PeG", "object": "chat.completion", "created": 1741570283, "model": "gpt-4o-2024-08-06", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The image shows a wooden boardwalk path running through a lush green field or meadow. The sky is bright blue with some scattered clouds, giving the scene a serene and peaceful atmosphere. Trees and shrubs are visible in the background.", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1117, "completion_tokens": 46, "total_tokens": 1163, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_fc9f1d7035" } CreateChatCompletionStreamResponse: type: object description: | Represents a streamed chunk of a chat completion response returned by the 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: $ref: '#/components/schemas/ServiceTier' system_fingerprint: type: string deprecated: true 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: $ref: '#/components/schemas/CompletionUsage' 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. **NOTE:** If the stream is interrupted or cancelled, you may not receive the final usage chunk which contains the total token usage for the request. 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"}]} CreateModelResponseProperties: allOf: - $ref: '#/components/schemas/ModelResponseProperties' - type: object properties: 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. type: integer minimum: 0 maximum: 20 ChatCompletionRequestMessage: anyOf: - $ref: '#/components/schemas/ChatCompletionRequestDeveloperMessage' - $ref: '#/components/schemas/ChatCompletionRequestSystemMessage' - $ref: '#/components/schemas/ChatCompletionRequestUserMessage' - $ref: '#/components/schemas/ChatCompletionRequestAssistantMessage' - $ref: '#/components/schemas/ChatCompletionRequestToolMessage' - $ref: '#/components/schemas/ChatCompletionRequestFunctionMessage' discriminator: propertyName: role ModelIdsShared: anyOf: - type: string ResponseModalities: type: array nullable: true description: | 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"]` items: type: string enum: - text - audio Verbosity: type: string enum: - low - medium - high default: medium nullable: true description: > Constrains the verbosity of the model's response. Lower values will result in more concise responses, while higher values will result in more verbose responses. Currently supported values are `low`, `medium`, and `high`. ReasoningEffort: type: string enum: - minimal - low - medium - high default: medium nullable: true description: > Constrains effort on reasoning for reasoning models. Currently supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. WebSearchLocation: type: object title: Web search location description: Approximate location parameters for the search. properties: country: type: string description: | The two-letter ISO country code of the user, e.g. `US`. region: type: string description: | Free text input for the region of the user, e.g. `California`. city: type: string description: | Free text input for the city of the user, e.g. `San Francisco`. timezone: type: string description: | The IANA timezone of the user, e.g. `America/Los_Angeles`. WebSearchContextSize: type: string description: > 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. enum: - low - medium - high default: medium ResponseFormatText: type: object title: Text description: | Default response format. Used to generate text responses. properties: type: type: string description: The type of response format being defined. Always `text`. enum: - text x-stainless-const: true required: - type ResponseFormatJsonSchema: type: object title: JSON schema description: | JSON Schema response format. Used to generate structured JSON responses. properties: type: type: string description: The type of response format being defined. Always `json_schema`. enum: - json_schema x-stainless-const: true json_schema: type: object title: JSON schema description: | Structured Outputs configuration options, including a JSON Schema. 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`. required: - name required: - type - json_schema ResponseFormatJsonObject: type: object title: JSON object description: > 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. properties: type: type: string description: The type of response format being defined. Always `json_object`. enum: - json_object x-stainless-const: true required: - type VoiceIdsShared: example: ash anyOf: - type: string - type: string enum: - alloy - ash - ballad - coral - echo - sage - shimmer - verse - marin - cedar StopConfiguration: description: | 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. nullable: true anyOf: - type: string default: <|endoftext|> example: |+ nullable: true - type: array minItems: 1 maxItems: 4 items: type: string example: '["\n"]' 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: 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. anyOf: - 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 being used to generate the response. Can contain text inputs. title: Array of content parts items: $ref: >- #/components/schemas/ChatCompletionRequestMessageContentPartText minItems: 1 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. **NOTE:** If the stream is interrupted, you may not receive the final usage chunk which contains the total token usage for the request. include_obfuscation: type: boolean description: > 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. ChatCompletionTool: type: object title: Function tool description: | A function tool that can be used to generate a response. 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 CustomToolChatCompletions: type: object title: Custom tool description: | A custom tool that processes input using a specified format. properties: type: type: string enum: - custom description: The type of the custom tool. Always `custom`. x-stainless-const: true custom: type: object title: Custom tool properties description: | Properties of the custom tool. properties: name: type: string description: The name of the custom tool, used to identify it in tool calls. description: type: string description: > Optional description of the custom tool, used to provide more context. format: description: > The input format for the custom tool. Default is unconstrained text. anyOf: - type: object title: Text format description: Unconstrained free-form text. properties: type: type: string enum: - text description: Unconstrained text format. Always `text`. x-stainless-const: true required: - type additionalProperties: false - type: object title: Grammar format description: A grammar defined by the user. properties: type: type: string enum: - grammar description: Grammar format. Always `grammar`. x-stainless-const: true grammar: type: object title: Grammar format description: Your chosen grammar. properties: definition: type: string description: The grammar definition. syntax: type: string description: >- The syntax of the grammar definition. One of `lark` or `regex`. enum: - lark - regex required: - definition - syntax required: - type - grammar additionalProperties: false discriminator: propertyName: type required: - name required: - type - custom 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. anyOf: - type: string title: Auto 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/ChatCompletionAllowedToolsChoice' - $ref: '#/components/schemas/ChatCompletionNamedToolChoice' - $ref: '#/components/schemas/ChatCompletionNamedToolChoiceCustom' x-stainless-go-variant-constructor: naming: tool_choice_option_{variant} ParallelToolCalls: description: Whether to enable 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 x-stainless-variantName: function_call_option 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' annotations: type: array description: | Annotations for the message, when applicable, as when using the web search tool. items: type: object description: | A URL citation when using web search. required: - type - url_citation properties: type: type: string description: The type of the URL citation. Always `url_citation`. enum: - url_citation x-stainless-const: true url_citation: type: object description: A URL citation when using web search. required: - end_index - start_index - url - title properties: end_index: type: integer description: >- The index of the last character of the URL citation in the message. start_index: type: integer description: >- The index of the first character of the URL citation in the message. url: type: string description: The URL of the web resource. title: type: string description: The title of the web resource. 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. 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 ServiceTier: type: string description: | Specifies the processing type used for serving the request. - If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'. - If set to 'default', then the request will be processed with the standard pricing and performance for the selected model. - If set to 'flex' or 'priority', then the request will be processed with the corresponding service tier. - When not set, the default behavior is 'auto'. When the `service_tier` parameter is set, the response body will include the `service_tier` value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter. enum: - auto - default - flex - scale - priority nullable: true default: auto 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 ModelResponseProperties: type: object properties: metadata: $ref: '#/components/schemas/Metadata' 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. type: integer minimum: 0 maximum: 20 nullable: true 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. user: type: string example: user-1234 deprecated: true description: > This field is being replaced by `safety_identifier` and `prompt_cache_key`. Use `prompt_cache_key` instead to maintain caching optimizations. A stable identifier for your end-users. Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. information. service_tier: $ref: '#/components/schemas/ServiceTier' 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. anyOf: - 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 x-stainless-naming: go: variant_constructor: DeveloperMessage 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. anyOf: - 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 x-stainless-naming: go: variant_constructor: SystemMessage 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. anyOf: - 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 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 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 x-stainless-naming: go: variant_constructor: UserMessage ChatCompletionRequestAssistantMessage: type: object title: Assistant message description: | Messages sent by the model in response to user messages. properties: content: nullable: true description: > The contents of the assistant message. Required unless `tool_calls` or `function_call` is specified. anyOf: - 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 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 description: | Data about a previous audio response from the model. 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 x-stainless-soft-required: - content 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: description: The contents of the tool message. anyOf: - 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 tool_call_id: type: string description: Tool call that this message is responding to. required: - role - content - tool_call_id x-stainless-naming: go: variant_constructor: ToolMessage 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 ResponseFormatJsonSchemaSchema: type: object title: JSON schema description: | The schema for the response format, described as a JSON Schema object. additionalProperties: true ChatCompletionRequestMessageContentPartText: type: object title: Text content part description: | Learn about text inputs. 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 x-stainless-naming: go: variant_constructor: TextContentPart 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`. required: - name ChatCompletionAllowedToolsChoice: type: object title: Allowed tools description: | Constrains the tools available to the model to a pre-defined set. properties: type: type: string enum: - allowed_tools description: Allowed tool configuration type. Always `allowed_tools`. x-stainless-const: true allowed_tools: $ref: '#/components/schemas/ChatCompletionAllowedTools' required: - type - allowed_tools ChatCompletionNamedToolChoice: type: object title: Function tool choice 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: For function calling, the type is always `function`. x-stainless-const: true function: type: object properties: name: type: string description: The name of the function to call. required: - name required: - type - function ChatCompletionNamedToolChoiceCustom: type: object title: Custom tool choice description: >- Specifies a tool the model should use. Use to force the model to call a specific custom tool. properties: type: type: string enum: - custom description: For custom tool calling, the type is always `custom`. x-stainless-const: true custom: type: object properties: name: type: string description: The name of the custom tool to call. required: - name required: - type - custom FunctionParameters: type: object description: >- The parameters the functions accepts, described as a JSON Schema object. See the guide 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: anyOf: - $ref: '#/components/schemas/ChatCompletionMessageToolCall' - $ref: '#/components/schemas/ChatCompletionMessageCustomToolCall' x-stainless-naming: python: model_name: chat_completion_message_tool_call_union param_model_name: chat_completion_message_tool_call_union_param discriminator: propertyName: type x-stainless-go-variant-constructor: skip 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 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 nullable: true ChatCompletionRequestSystemMessageContentPart: anyOf: - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartText' ChatCompletionRequestUserMessageContentPart: anyOf: - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartText' - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartImage' - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartAudio' - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartFile' discriminator: propertyName: type ChatCompletionRequestAssistantMessageContentPart: anyOf: - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartText' - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartRefusal' discriminator: propertyName: type ChatCompletionRequestToolMessageContentPart: anyOf: - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartText' ChatCompletionAllowedTools: type: object title: Allowed tools description: | Constrains the tools available to the model to a pre-defined set. properties: mode: type: string enum: - auto - required description: > Constrains the tools available to the model to a pre-defined set. `auto` allows the model to pick from among the allowed tools and generate a message. `required` requires the model to call one or more of the allowed tools. tools: type: array description: > A list of tool definitions that the model should be allowed to call. For the Chat Completions API, the list of tool definitions might look like: ```json [ { "type": "function", "function": { "name": "get_weather" } }, { "type": "function", "function": { "name": "get_time" } } ] ``` items: type: object x-oaiExpandable: false description: | A tool definition that the model should be allowed to call. additionalProperties: true required: - mode - tools ChatCompletionMessageToolCall: type: object title: Function tool call description: | A call to a function tool created by the model. 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 ChatCompletionMessageCustomToolCall: type: object title: Custom tool call description: | A call to a custom tool created by the model. properties: id: type: string description: The ID of the tool call. type: type: string enum: - custom description: The type of the tool. Always `custom`. x-stainless-const: true custom: type: object description: The custom tool that the model called. properties: name: type: string description: The name of the custom tool to call. input: type: string description: The input for the custom tool call generated by the model. required: - name - input required: - id - type - custom ChatCompletionRequestMessageContentPartImage: type: object title: Image content part description: | Learn about image inputs. 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. ' enum: - auto - low - high default: auto required: - url required: - type - image_url x-stainless-naming: go: variant_constructor: ImageContentPart ChatCompletionRequestMessageContentPartAudio: type: object title: Audio content part description: | Learn about audio inputs. 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 x-stainless-naming: go: variant_constructor: InputAudioContentPart ChatCompletionRequestMessageContentPartFile: type: object title: File content part description: | Learn about file inputs for text generation. properties: type: type: string enum: - file description: The type of the content part. Always `file`. x-stainless-const: true file: type: object properties: filename: type: string description: > The name of the file, used when passing the file to the model as a string. file_data: type: string description: > The base64 encoded file data, used when passing the file to the model as a string. file_id: type: string description: | The ID of an uploaded file to use as input. x-stainless-naming: java: type_name: FileObject kotlin: type_name: FileObject required: - type - file x-stainless-naming: go: variant_constructor: FileContentPart 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: bearerAuth: type: http scheme: bearer ````