--- title: "CreateChatCompletionStreamResponse" url: "https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1/schemas/CreateChatCompletionStreamResponse" --- > Full API specification: https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1.md # CreateChatCompletionStreamResponse Represents a streamed chunk of a chat completion response returned by model, based on the provided input. ## OpenAPI definition ```yaml openapi: 3.0.0 info: title: OpenAI API version: 2.3.0 servers: - url: https://api.openai.com/v1 components: schemas: 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 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 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 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"}]} ```