--- title: "Create a thread and run it in one request." url: "https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1/operations/createThreadAndRun" --- > Full API specification: https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1.md # Create a thread and run it in one request. `POST` `/threads/runs` Operation ID: `createThreadAndRun` ## 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: /threads/runs: post: operationId: createThreadAndRun tags: - Assistants summary: Create a thread and run it in one request. requestBody: required: true content: application/json: schema: $ref: "#/components/schemas/CreateThreadAndRunRequest" responses: "200": description: OK content: application/json: schema: $ref: "#/components/schemas/RunObject" x-oaiMeta: name: Create thread and run group: threads beta: true returns: A [run](/docs/api-reference/runs/object) object. examples: - title: Default request: curl: > curl https://api.openai.com/v1/threads/runs \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -H "Content-Type: application/json" \ -H "OpenAI-Beta: assistants=v2" \ -d '{ "assistant_id": "asst_abc123", "thread": { "messages": [ {"role": "user", "content": "Explain deep learning to a 5 year old."} ] } }' python: > from openai import OpenAI client = OpenAI() run = client.beta.threads.create_and_run( assistant_id="asst_abc123", thread={ "messages": [ {"role": "user", "content": "Explain deep learning to a 5 year old."} ] } ) print(run) node.js: > import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const run = await openai.beta.threads.createAndRun({ assistant_id: "asst_abc123", thread: { messages: [ { role: "user", content: "Explain deep learning to a 5 year old." }, ], }, }); console.log(run); } main(); response: | { "id": "run_abc123", "object": "thread.run", "created_at": 1699076792, "assistant_id": "asst_abc123", "thread_id": "thread_abc123", "status": "queued", "started_at": null, "expires_at": 1699077392, "cancelled_at": null, "failed_at": null, "completed_at": null, "required_action": null, "last_error": null, "model": "gpt-4o", "instructions": "You are a helpful assistant.", "tools": [], "tool_resources": {}, "metadata": {}, "temperature": 1.0, "top_p": 1.0, "max_completion_tokens": null, "max_prompt_tokens": null, "truncation_strategy": { "type": "auto", "last_messages": null }, "incomplete_details": null, "usage": null, "response_format": "auto", "tool_choice": "auto", "parallel_tool_calls": true } - title: Streaming request: curl: | curl https://api.openai.com/v1/threads/runs \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -H "Content-Type: application/json" \ -H "OpenAI-Beta: assistants=v2" \ -d '{ "assistant_id": "asst_123", "thread": { "messages": [ {"role": "user", "content": "Hello"} ] }, "stream": true }' python: | from openai import OpenAI client = OpenAI() stream = client.beta.threads.create_and_run( assistant_id="asst_123", thread={ "messages": [ {"role": "user", "content": "Hello"} ] }, stream=True ) for event in stream: print(event) node.js: | import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const stream = await openai.beta.threads.createAndRun({ assistant_id: "asst_123", thread: { messages: [ { role: "user", content: "Hello" }, ], }, stream: true }); for await (const event of stream) { console.log(event); } } main(); response: | event: thread.created data: {"id":"thread_123","object":"thread","created_at":1710348075,"metadata":{}} event: thread.run.created data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} event: thread.run.queued data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} event: thread.run.in_progress data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} event: thread.run.step.created data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} event: thread.run.step.in_progress data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} event: thread.message.created data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}} event: thread.message.in_progress data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}} event: thread.message.delta data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}} ... event: thread.message.delta data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}} event: thread.message.delta data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}} event: thread.message.completed data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}], "metadata":{}} event: thread.run.step.completed data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}} event: thread.run.completed {"id":"run_123","object":"thread.run","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1713226836,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1713226837,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} event: done data: [DONE] - title: Streaming with Functions request: curl: > curl https://api.openai.com/v1/threads/runs \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -H "Content-Type: application/json" \ -H "OpenAI-Beta: assistants=v2" \ -d '{ "assistant_id": "asst_abc123", "thread": { "messages": [ {"role": "user", "content": "What is the weather like in San Francisco?"} ] }, "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"] } } } ], "stream": true }' 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"], }, } } ] stream = client.beta.threads.create_and_run( thread={ "messages": [ {"role": "user", "content": "What is the weather like in San Francisco?"} ] }, assistant_id="asst_abc123", tools=tools, stream=True ) for event in stream: print(event) node.js: > import OpenAI from "openai"; const openai = new OpenAI(); 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"], }, } } ]; async function main() { const stream = await openai.beta.threads.createAndRun({ assistant_id: "asst_123", thread: { messages: [ { role: "user", content: "What is the weather like in San Francisco?" }, ], }, tools: tools, stream: true }); for await (const event of stream) { console.log(event); } } main(); response: | event: thread.created data: {"id":"thread_123","object":"thread","created_at":1710351818,"metadata":{}} event: thread.run.created data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} event: thread.run.queued data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} event: thread.run.in_progress data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} event: thread.run.step.created data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null} event: thread.run.step.in_progress data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null} event: thread.run.step.delta data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"","output":null}}]}}} event: thread.run.step.delta data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"{\""}}]}}} event: thread.run.step.delta data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"location"}}]}}} ... event: thread.run.step.delta data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"ahrenheit"}}]}}} event: thread.run.step.delta data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"\"}"}}]}}} event: thread.run.requires_action data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"requires_action","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":{"type":"submit_tool_outputs","submit_tool_outputs":{"tool_calls":[{"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San Francisco, CA\",\"unit\":\"fahrenheit\"}"}}]}},"last_error":null,"model":"gpt-4o","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} event: done data: [DONE] security: - ApiKeyAuth: [] components: schemas: CreateThreadAndRunRequest: type: object additionalProperties: false properties: assistant_id: description: The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run. type: string thread: $ref: "#/components/schemas/CreateThreadRequest" model: description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used. example: gpt-4o anyOf: - type: string - type: string enum: - gpt-4o - gpt-4o-2024-11-20 - gpt-4o-2024-08-06 - gpt-4o-2024-05-13 - 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-0613 - gpt-3.5-turbo-1106 - gpt-3.5-turbo-0125 - gpt-3.5-turbo-16k-0613 x-oaiTypeLabel: string nullable: true instructions: description: Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis. type: string nullable: true tools: description: Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis. nullable: true type: array maxItems: 20 items: oneOf: - $ref: "#/components/schemas/AssistantToolsCode" - $ref: "#/components/schemas/AssistantToolsFileSearch" - $ref: "#/components/schemas/AssistantToolsFunction" tool_resources: type: object description: > A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. properties: code_interpreter: type: object properties: file_ids: type: array description: > A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. default: [] maxItems: 20 items: type: string file_search: type: object properties: vector_store_ids: type: array description: > The ID of the [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. maxItems: 1 items: type: string nullable: true metadata: $ref: "#/components/schemas/Metadata" 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. 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. stream: type: boolean nullable: true description: > If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message. max_prompt_tokens: type: integer nullable: true description: > The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. minimum: 256 max_completion_tokens: type: integer nullable: true description: > The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. minimum: 256 truncation_strategy: allOf: - $ref: "#/components/schemas/TruncationObject" - nullable: true tool_choice: allOf: - $ref: "#/components/schemas/AssistantsApiToolChoiceOption" - nullable: true parallel_tool_calls: $ref: "#/components/schemas/ParallelToolCalls" response_format: allOf: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true required: - assistant_id RunObject: type: object title: A run on a thread description: Represents an execution run on a [thread](/docs/api-reference/threads). properties: id: description: The identifier, which can be referenced in API endpoints. type: string object: description: The object type, which is always `thread.run`. type: string enum: - thread.run x-stainless-const: true created_at: description: The Unix timestamp (in seconds) for when the run was created. type: integer thread_id: description: The ID of the [thread](/docs/api-reference/threads) that was executed on as a part of this run. type: string assistant_id: description: The ID of the [assistant](/docs/api-reference/assistants) used for execution of this run. type: string status: description: The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. type: string enum: - queued - in_progress - requires_action - cancelling - cancelled - failed - completed - incomplete - expired required_action: type: object description: Details on the action required to continue the run. Will be `null` if no action is required. nullable: true properties: type: description: For now, this is always `submit_tool_outputs`. type: string enum: - submit_tool_outputs x-stainless-const: true submit_tool_outputs: type: object description: Details on the tool outputs needed for this run to continue. properties: tool_calls: type: array description: A list of the relevant tool calls. items: $ref: "#/components/schemas/RunToolCallObject" required: - tool_calls required: - type - submit_tool_outputs last_error: type: object description: The last error associated with this run. Will be `null` if there are no errors. nullable: true properties: code: type: string description: One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`. enum: - server_error - rate_limit_exceeded - invalid_prompt message: type: string description: A human-readable description of the error. required: - code - message expires_at: description: The Unix timestamp (in seconds) for when the run will expire. type: integer nullable: true started_at: description: The Unix timestamp (in seconds) for when the run was started. type: integer nullable: true cancelled_at: description: The Unix timestamp (in seconds) for when the run was cancelled. type: integer nullable: true failed_at: description: The Unix timestamp (in seconds) for when the run failed. type: integer nullable: true completed_at: description: The Unix timestamp (in seconds) for when the run was completed. type: integer nullable: true incomplete_details: description: Details on why the run is incomplete. Will be `null` if the run is not incomplete. type: object nullable: true properties: reason: description: The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run. type: string enum: - max_completion_tokens - max_prompt_tokens model: description: The model that the [assistant](/docs/api-reference/assistants) used for this run. type: string instructions: description: The instructions that the [assistant](/docs/api-reference/assistants) used for this run. type: string tools: description: The list of tools that the [assistant](/docs/api-reference/assistants) used for this run. default: [] type: array maxItems: 20 items: oneOf: - $ref: "#/components/schemas/AssistantToolsCode" - $ref: "#/components/schemas/AssistantToolsFileSearch" - $ref: "#/components/schemas/AssistantToolsFunction" x-oaiExpandable: true metadata: $ref: "#/components/schemas/Metadata" usage: $ref: "#/components/schemas/RunCompletionUsage" temperature: description: The sampling temperature used for this run. If not set, defaults to 1. type: number nullable: true top_p: description: The nucleus sampling value used for this run. If not set, defaults to 1. type: number nullable: true max_prompt_tokens: type: integer nullable: true description: > The maximum number of prompt tokens specified to have been used over the course of the run. minimum: 256 max_completion_tokens: type: integer nullable: true description: > The maximum number of completion tokens specified to have been used over the course of the run. minimum: 256 truncation_strategy: allOf: - $ref: "#/components/schemas/TruncationObject" - nullable: true tool_choice: allOf: - $ref: "#/components/schemas/AssistantsApiToolChoiceOption" - nullable: true parallel_tool_calls: $ref: "#/components/schemas/ParallelToolCalls" response_format: allOf: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true required: - id - object - created_at - thread_id - assistant_id - status - required_action - last_error - expires_at - started_at - cancelled_at - failed_at - completed_at - model - instructions - tools - metadata - usage - incomplete_details - max_prompt_tokens - max_completion_tokens - truncation_strategy - tool_choice - parallel_tool_calls - response_format x-oaiMeta: name: The run object beta: true example: | { "id": "run_abc123", "object": "thread.run", "created_at": 1698107661, "assistant_id": "asst_abc123", "thread_id": "thread_abc123", "status": "completed", "started_at": 1699073476, "expires_at": null, "cancelled_at": null, "failed_at": null, "completed_at": 1699073498, "last_error": null, "model": "gpt-4o", "instructions": null, "tools": [{"type": "file_search"}, {"type": "code_interpreter"}], "metadata": {}, "incomplete_details": null, "usage": { "prompt_tokens": 123, "completion_tokens": 456, "total_tokens": 579 }, "temperature": 1.0, "top_p": 1.0, "max_prompt_tokens": 1000, "max_completion_tokens": 1000, "truncation_strategy": { "type": "auto", "last_messages": null }, "response_format": "auto", "tool_choice": "auto", "parallel_tool_calls": true } CreateThreadRequest: type: object description: | Options to create a new thread. If no thread is provided when running a request, an empty thread will be created. additionalProperties: false properties: messages: description: A list of [messages](/docs/api-reference/messages) to start the thread with. type: array items: $ref: "#/components/schemas/CreateMessageRequest" tool_resources: type: object description: > A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. properties: code_interpreter: type: object properties: file_ids: type: array description: > A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. default: [] maxItems: 20 items: type: string file_search: type: object properties: vector_store_ids: type: array description: > The [vector store](/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. maxItems: 1 items: type: string vector_stores: type: array description: > A helper to create a [vector store](/docs/api-reference/vector-stores/object) with file_ids and attach it to this thread. There can be a maximum of 1 vector store attached to the thread. maxItems: 1 items: type: object properties: file_ids: type: array description: > A list of [file](/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store. maxItems: 10000 items: type: string chunking_strategy: type: object description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. oneOf: - type: object title: Auto Chunking Strategy description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`. additionalProperties: false properties: type: type: string description: Always `auto`. enum: - auto x-stainless-const: true required: - type - type: object title: Static Chunking Strategy additionalProperties: false properties: type: type: string description: Always `static`. enum: - static x-stainless-const: true static: type: object additionalProperties: false properties: max_chunk_size_tokens: type: integer minimum: 100 maximum: 4096 description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`. chunk_overlap_tokens: type: integer description: > The number of tokens that overlap between chunks. The default value is `400`. Note that the overlap must not exceed half of `max_chunk_size_tokens`. required: - max_chunk_size_tokens - chunk_overlap_tokens required: - type - static x-oaiExpandable: true metadata: $ref: "#/components/schemas/Metadata" x-oaiExpandable: true oneOf: - required: - vector_store_ids - required: - vector_stores nullable: true metadata: $ref: "#/components/schemas/Metadata" AssistantToolsCode: type: object title: Code interpreter tool properties: type: type: string description: "The type of tool being defined: `code_interpreter`" enum: - code_interpreter x-stainless-const: true required: - type AssistantToolsFileSearch: type: object title: FileSearch tool properties: type: type: string description: "The type of tool being defined: `file_search`" enum: - file_search x-stainless-const: true file_search: type: object description: Overrides for the file search tool. properties: max_num_results: type: integer minimum: 1 maximum: 50 description: | The maximum number of results the file search tool should output. The default is 20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between 1 and 50 inclusive. Note that the file search tool may output fewer than `max_num_results` results. See the [file search tool documentation](/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. ranking_options: $ref: "#/components/schemas/FileSearchRankingOptions" required: - type AssistantToolsFunction: type: object title: Function tool properties: type: type: string description: "The type of tool being defined: `function`" enum: - function x-stainless-const: true function: $ref: "#/components/schemas/FunctionObject" required: - type - function 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 TruncationObject: type: object title: Thread Truncation Controls description: Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run. properties: type: type: string description: The truncation strategy to use for the thread. The default is `auto`. If set to `last_messages`, the thread will be truncated to the n most recent messages in the thread. When set to `auto`, messages in the middle of the thread will be dropped to fit the context length of the model, `max_prompt_tokens`. enum: - auto - last_messages last_messages: type: integer description: The number of most recent messages from the thread when constructing the context for the run. minimum: 1 nullable: true required: - type AssistantsApiToolChoiceOption: description: > Controls which (if any) tool is called by the model. `none` means the model will not call any tools and instead generates a message. `auto` is the default value and 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 before responding to the user. Specifying a particular tool like `{"type": "file_search"}` or `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. oneOf: - type: string description: > `none` means the model will not call any tools 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 before responding to the user. enum: - none - auto - required - $ref: "#/components/schemas/AssistantsNamedToolChoice" 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 AssistantsApiResponseFormatOption: description: > Specifies the format that the model must output. Compatible with [GPT-4o](/docs/models#gpt-4o), [GPT-4 Turbo](/docs/models#gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. 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: - type: string description: | `auto` is the default value enum: - auto x-stainless-const: true - $ref: "#/components/schemas/ResponseFormatText" - $ref: "#/components/schemas/ResponseFormatJsonObject" - $ref: "#/components/schemas/ResponseFormatJsonSchema" x-oaiExpandable: true RunToolCallObject: type: object description: Tool call objects properties: id: type: string description: The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the [Submit tool outputs to run](/docs/api-reference/runs/submitToolOutputs) endpoint. type: type: string description: The type of tool call the output is required for. For now, this is always `function`. enum: - function x-stainless-const: true function: type: object description: The function definition. properties: name: type: string description: The name of the function. arguments: type: string description: The arguments that the model expects you to pass to the function. required: - name - arguments required: - id - type - function RunCompletionUsage: type: object description: Usage statistics related to the run. This value will be `null` if the run is not in a terminal state (i.e. `in_progress`, `queued`, etc.). properties: completion_tokens: type: integer description: Number of completion tokens used over the course of the run. prompt_tokens: type: integer description: Number of prompt tokens used over the course of the run. total_tokens: type: integer description: Total number of tokens used (prompt + completion). required: - prompt_tokens - completion_tokens - total_tokens nullable: true CreateMessageRequest: type: object additionalProperties: false required: - role - content properties: role: type: string enum: - user - assistant description: > The role of the entity that is creating the message. Allowed values include: - `user`: Indicates the message is sent by an actual user and should be used in most cases to represent user-generated messages. - `assistant`: Indicates the message is generated by the assistant. Use this value to insert messages from the assistant into the conversation. content: 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, each can be of type `text` or images can be passed with `image_url` or `image_file`. Image types are only supported on [Vision-compatible models](/docs/models). title: Array of content parts items: oneOf: - $ref: "#/components/schemas/MessageContentImageFileObject" - $ref: "#/components/schemas/MessageContentImageUrlObject" - $ref: "#/components/schemas/MessageRequestContentTextObject" x-oaiExpandable: true minItems: 1 x-oaiExpandable: true attachments: type: array items: type: object properties: file_id: type: string description: The ID of the file to attach to the message. tools: description: The tools to add this file to. type: array items: oneOf: - $ref: "#/components/schemas/AssistantToolsCode" - $ref: "#/components/schemas/AssistantToolsFileSearchTypeOnly" x-oaiExpandable: true description: A list of files attached to the message, and the tools they should be added to. required: - file_id - tools nullable: true metadata: $ref: "#/components/schemas/Metadata" FileSearchRankingOptions: title: File search tool call ranking options type: object description: | The ranking options for the file search. If not specified, the file search tool will use the `auto` ranker and a score_threshold of 0. See the [file search tool documentation](/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. properties: ranker: type: string description: The ranker to use for the file search. If not specified will use the `auto` ranker. enum: - auto - default_2024_08_21 score_threshold: type: number description: The score threshold for the file search. All values must be a floating point number between 0 and 1. minimum: 0 maximum: 1 required: - score_threshold 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 AssistantsNamedToolChoice: type: object description: Specifies a tool the model should use. Use to force the model to call a specific tool. properties: type: type: string enum: - function - code_interpreter - file_search description: The type of the tool. If type is `function`, the function name must be set function: type: object properties: name: type: string description: The name of the function to call. required: - name required: - type 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 MessageContentImageFileObject: title: Image file type: object description: References an image [File](/docs/api-reference/files) in the content of a message. properties: type: description: Always `image_file`. type: string enum: - image_file x-stainless-const: true image_file: type: object properties: file_id: description: The [File](/docs/api-reference/files) ID of the image in the message content. Set `purpose="vision"` when uploading the File if you need to later display the file content. type: string detail: type: string description: Specifies the detail level of the image if specified by the user. `low` uses fewer tokens, you can opt in to high resolution using `high`. enum: - auto - low - high default: auto required: - file_id required: - type - image_file MessageContentImageUrlObject: title: Image URL type: object description: References an image URL in the content of a message. 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: "The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp." format: uri detail: type: string description: Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. Default value is `auto` enum: - auto - low - high default: auto required: - url required: - type - image_url MessageRequestContentTextObject: title: Text type: object description: The text content that is part of a message. properties: type: description: Always `text`. type: string enum: - text x-stainless-const: true text: type: string description: Text content to be sent to the model required: - type - text AssistantToolsFileSearchTypeOnly: type: object title: FileSearch tool properties: type: type: string description: "The type of tool being defined: `file_search`" enum: - file_search x-stainless-const: true required: - type 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 ResponseFormatJsonSchemaSchema: type: object description: The schema for the response format, described as a JSON Schema object. additionalProperties: true securitySchemes: ApiKeyAuth: type: http scheme: bearer ```