# Assistants ## List assistants `$ openai beta:assistants list` **get** `/assistants` Returns a list of assistants. ### Parameters - `--after: optional string` A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. - `--before: optional string` A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, starting with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list. - `--limit: optional number` A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. - `--order: optional "asc" or "desc"` Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order. ### Returns - `ListAssistantsResponse: object { data, first_id, has_more, 2 more }` - `data: array of Assistant` - `id: string` The identifier, which can be referenced in API endpoints. - `created_at: number` The Unix timestamp (in seconds) for when the assistant was created. - `description: string` The description of the assistant. The maximum length is 512 characters. - `instructions: string` The system instructions that the assistant uses. The maximum length is 256,000 characters. - `metadata: map[string]` 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. - `model: string` ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. - `name: string` The name of the assistant. The maximum length is 256 characters. - `object: "assistant"` The object type, which is always `assistant`. - `tools: array of AssistantTool` A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` - `response_format: optional "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `union_member_0: "auto"` `auto` is the default value - `response_format_text: object { type }` Default response format. Used to generate text responses. - `type: "text"` The type of response format being defined. Always `text`. - `response_format_json_object: object { type }` 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. - `type: "json_object"` The type of response format being defined. Always `json_object`. - `response_format_json_schema: object { json_schema, type }` JSON Schema response format. Used to generate structured JSON responses. Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - `json_schema: object { name, description, schema, strict }` Structured Outputs configuration options, including a JSON Schema. - `name: string` The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the response format is for, used by the model to determine how to respond in the format. - `schema: optional map[unknown]` The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/). - `strict: optional boolean` Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - `type: "json_schema"` The type of response format being defined. Always `json_schema`. - `temperature: optional number` What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - `tool_resources: optional object { code_interpreter, file_search }` 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. - `code_interpreter: optional object { file_ids }` - `file_ids: optional array of string` A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. - `file_search: optional object { vector_store_ids }` - `vector_store_ids: optional array of string` The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - `top_p: optional number` An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. - `first_id: string` - `has_more: boolean` - `last_id: string` - `object: string` ### Example ```cli openai beta:assistants list \ --api-key 'My API Key' ``` #### Response ```json { "data": [ { "id": "id", "created_at": 0, "description": "description", "instructions": "instructions", "metadata": { "foo": "string" }, "model": "model", "name": "name", "object": "assistant", "tools": [ { "type": "code_interpreter" } ], "response_format": "auto", "temperature": 1, "tool_resources": { "code_interpreter": { "file_ids": [ "string" ] }, "file_search": { "vector_store_ids": [ "string" ] } }, "top_p": 1 } ], "first_id": "asst_abc123", "has_more": false, "last_id": "asst_abc456", "object": "list" } ``` ## Create assistant `$ openai beta:assistants create` **post** `/assistants` Create an assistant with a model and instructions. ### Parameters - `--model: string or ChatModel` ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. - `--description: optional string` The description of the assistant. The maximum length is 512 characters. - `--instructions: optional string` The system instructions that the assistant uses. The maximum length is 256,000 characters. - `--metadata: optional map[string]` Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters. - `--name: optional string` The name of the assistant. The maximum length is 256 characters. - `--reasoning-effort: optional "none" or "minimal" or "low" or 3 more` Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1. - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`. - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort. - `xhigh` is supported for all models after `gpt-5.1-codex-max`. - `--response-format: optional "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `--temperature: optional number` What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - `--tool-resources: optional object { code_interpreter, file_search }` 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. - `--tool: optional array of AssistantTool` A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - `--top-p: optional number` An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. ### Returns - `assistant: object { id, created_at, description, 10 more }` Represents an `assistant` that can call the model and use tools. - `id: string` The identifier, which can be referenced in API endpoints. - `created_at: number` The Unix timestamp (in seconds) for when the assistant was created. - `description: string` The description of the assistant. The maximum length is 512 characters. - `instructions: string` The system instructions that the assistant uses. The maximum length is 256,000 characters. - `metadata: map[string]` 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. - `model: string` ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. - `name: string` The name of the assistant. The maximum length is 256 characters. - `object: "assistant"` The object type, which is always `assistant`. - `tools: array of AssistantTool` A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` - `response_format: optional "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `union_member_0: "auto"` `auto` is the default value - `response_format_text: object { type }` Default response format. Used to generate text responses. - `type: "text"` The type of response format being defined. Always `text`. - `response_format_json_object: object { type }` 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. - `type: "json_object"` The type of response format being defined. Always `json_object`. - `response_format_json_schema: object { json_schema, type }` JSON Schema response format. Used to generate structured JSON responses. Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - `json_schema: object { name, description, schema, strict }` Structured Outputs configuration options, including a JSON Schema. - `name: string` The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the response format is for, used by the model to determine how to respond in the format. - `schema: optional map[unknown]` The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/). - `strict: optional boolean` Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - `type: "json_schema"` The type of response format being defined. Always `json_schema`. - `temperature: optional number` What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - `tool_resources: optional object { code_interpreter, file_search }` 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. - `code_interpreter: optional object { file_ids }` - `file_ids: optional array of string` A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. - `file_search: optional object { vector_store_ids }` - `vector_store_ids: optional array of string` The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - `top_p: optional number` An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. ### Example ```cli openai beta:assistants create \ --api-key 'My API Key' \ --model gpt-4o ``` #### Response ```json { "id": "id", "created_at": 0, "description": "description", "instructions": "instructions", "metadata": { "foo": "string" }, "model": "model", "name": "name", "object": "assistant", "tools": [ { "type": "code_interpreter" } ], "response_format": "auto", "temperature": 1, "tool_resources": { "code_interpreter": { "file_ids": [ "string" ] }, "file_search": { "vector_store_ids": [ "string" ] } }, "top_p": 1 } ``` ## Retrieve assistant `$ openai beta:assistants retrieve` **get** `/assistants/{assistant_id}` Retrieves an assistant. ### Parameters - `--assistant-id: string` The ID of the assistant to retrieve. ### Returns - `assistant: object { id, created_at, description, 10 more }` Represents an `assistant` that can call the model and use tools. - `id: string` The identifier, which can be referenced in API endpoints. - `created_at: number` The Unix timestamp (in seconds) for when the assistant was created. - `description: string` The description of the assistant. The maximum length is 512 characters. - `instructions: string` The system instructions that the assistant uses. The maximum length is 256,000 characters. - `metadata: map[string]` 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. - `model: string` ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. - `name: string` The name of the assistant. The maximum length is 256 characters. - `object: "assistant"` The object type, which is always `assistant`. - `tools: array of AssistantTool` A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` - `response_format: optional "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `union_member_0: "auto"` `auto` is the default value - `response_format_text: object { type }` Default response format. Used to generate text responses. - `type: "text"` The type of response format being defined. Always `text`. - `response_format_json_object: object { type }` 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. - `type: "json_object"` The type of response format being defined. Always `json_object`. - `response_format_json_schema: object { json_schema, type }` JSON Schema response format. Used to generate structured JSON responses. Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - `json_schema: object { name, description, schema, strict }` Structured Outputs configuration options, including a JSON Schema. - `name: string` The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the response format is for, used by the model to determine how to respond in the format. - `schema: optional map[unknown]` The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/). - `strict: optional boolean` Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - `type: "json_schema"` The type of response format being defined. Always `json_schema`. - `temperature: optional number` What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - `tool_resources: optional object { code_interpreter, file_search }` 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. - `code_interpreter: optional object { file_ids }` - `file_ids: optional array of string` A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. - `file_search: optional object { vector_store_ids }` - `vector_store_ids: optional array of string` The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - `top_p: optional number` An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. ### Example ```cli openai beta:assistants retrieve \ --api-key 'My API Key' \ --assistant-id assistant_id ``` #### Response ```json { "id": "id", "created_at": 0, "description": "description", "instructions": "instructions", "metadata": { "foo": "string" }, "model": "model", "name": "name", "object": "assistant", "tools": [ { "type": "code_interpreter" } ], "response_format": "auto", "temperature": 1, "tool_resources": { "code_interpreter": { "file_ids": [ "string" ] }, "file_search": { "vector_store_ids": [ "string" ] } }, "top_p": 1 } ``` ## Modify assistant `$ openai beta:assistants update` **post** `/assistants/{assistant_id}` Modifies an assistant. ### Parameters - `--assistant-id: string` The ID of the assistant to modify. - `--description: optional string` The description of the assistant. The maximum length is 512 characters. - `--instructions: optional string` The system instructions that the assistant uses. The maximum length is 256,000 characters. - `--metadata: optional map[string]` 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. - `--model: optional string or "gpt-5" or "gpt-5-mini" or "gpt-5-nano" or 39 more` ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. - `--name: optional string` The name of the assistant. The maximum length is 256 characters. - `--reasoning-effort: optional "none" or "minimal" or "low" or 3 more` Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1. - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`. - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort. - `xhigh` is supported for all models after `gpt-5.1-codex-max`. - `--response-format: optional "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `--temperature: optional number` What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - `--tool-resources: optional object { code_interpreter, file_search }` 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. - `--tool: optional array of AssistantTool` A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - `--top-p: optional number` An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. ### Returns - `assistant: object { id, created_at, description, 10 more }` Represents an `assistant` that can call the model and use tools. - `id: string` The identifier, which can be referenced in API endpoints. - `created_at: number` The Unix timestamp (in seconds) for when the assistant was created. - `description: string` The description of the assistant. The maximum length is 512 characters. - `instructions: string` The system instructions that the assistant uses. The maximum length is 256,000 characters. - `metadata: map[string]` 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. - `model: string` ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. - `name: string` The name of the assistant. The maximum length is 256 characters. - `object: "assistant"` The object type, which is always `assistant`. - `tools: array of AssistantTool` A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` - `response_format: optional "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `union_member_0: "auto"` `auto` is the default value - `response_format_text: object { type }` Default response format. Used to generate text responses. - `type: "text"` The type of response format being defined. Always `text`. - `response_format_json_object: object { type }` 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. - `type: "json_object"` The type of response format being defined. Always `json_object`. - `response_format_json_schema: object { json_schema, type }` JSON Schema response format. Used to generate structured JSON responses. Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - `json_schema: object { name, description, schema, strict }` Structured Outputs configuration options, including a JSON Schema. - `name: string` The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the response format is for, used by the model to determine how to respond in the format. - `schema: optional map[unknown]` The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/). - `strict: optional boolean` Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - `type: "json_schema"` The type of response format being defined. Always `json_schema`. - `temperature: optional number` What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - `tool_resources: optional object { code_interpreter, file_search }` 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. - `code_interpreter: optional object { file_ids }` - `file_ids: optional array of string` A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. - `file_search: optional object { vector_store_ids }` - `vector_store_ids: optional array of string` The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - `top_p: optional number` An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. ### Example ```cli openai beta:assistants update \ --api-key 'My API Key' \ --assistant-id assistant_id ``` #### Response ```json { "id": "id", "created_at": 0, "description": "description", "instructions": "instructions", "metadata": { "foo": "string" }, "model": "model", "name": "name", "object": "assistant", "tools": [ { "type": "code_interpreter" } ], "response_format": "auto", "temperature": 1, "tool_resources": { "code_interpreter": { "file_ids": [ "string" ] }, "file_search": { "vector_store_ids": [ "string" ] } }, "top_p": 1 } ``` ## Delete assistant `$ openai beta:assistants delete` **delete** `/assistants/{assistant_id}` Delete an assistant. ### Parameters - `--assistant-id: string` The ID of the assistant to delete. ### Returns - `assistant_deleted: object { id, deleted, object }` - `id: string` - `deleted: boolean` - `object: "assistant.deleted"` ### Example ```cli openai beta:assistants delete \ --api-key 'My API Key' \ --assistant-id assistant_id ``` #### Response ```json { "id": "id", "deleted": true, "object": "assistant.deleted" } ``` ## Domain Types ### Assistant - `assistant: object { id, created_at, description, 10 more }` Represents an `assistant` that can call the model and use tools. - `id: string` The identifier, which can be referenced in API endpoints. - `created_at: number` The Unix timestamp (in seconds) for when the assistant was created. - `description: string` The description of the assistant. The maximum length is 512 characters. - `instructions: string` The system instructions that the assistant uses. The maximum length is 256,000 characters. - `metadata: map[string]` 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. - `model: string` ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. - `name: string` The name of the assistant. The maximum length is 256 characters. - `object: "assistant"` The object type, which is always `assistant`. - `tools: array of AssistantTool` A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` - `response_format: optional "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `union_member_0: "auto"` `auto` is the default value - `response_format_text: object { type }` Default response format. Used to generate text responses. - `type: "text"` The type of response format being defined. Always `text`. - `response_format_json_object: object { type }` 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. - `type: "json_object"` The type of response format being defined. Always `json_object`. - `response_format_json_schema: object { json_schema, type }` JSON Schema response format. Used to generate structured JSON responses. Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - `json_schema: object { name, description, schema, strict }` Structured Outputs configuration options, including a JSON Schema. - `name: string` The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the response format is for, used by the model to determine how to respond in the format. - `schema: optional map[unknown]` The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/). - `strict: optional boolean` Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - `type: "json_schema"` The type of response format being defined. Always `json_schema`. - `temperature: optional number` What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - `tool_resources: optional object { code_interpreter, file_search }` 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. - `code_interpreter: optional object { file_ids }` - `file_ids: optional array of string` A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. - `file_search: optional object { vector_store_ids }` - `vector_store_ids: optional array of string` The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - `top_p: optional number` An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. ### Assistant Deleted - `assistant_deleted: object { id, deleted, object }` - `id: string` - `deleted: boolean` - `object: "assistant.deleted"` ### Assistant Stream Event - `assistant_stream_event: object { data, event, enabled } or object { data, event } or object { data, event } or 21 more` Represents an event emitted when streaming a Run. Each event in a server-sent events stream has an `event` and `data` property: ``` event: thread.created data: {"id": "thread_123", "object": "thread", ...} ``` We emit events whenever a new object is created, transitions to a new state, or is being streamed in parts (deltas). For example, we emit `thread.run.created` when a new run is created, `thread.run.completed` when a run completes, and so on. When an Assistant chooses to create a message during a run, we emit a `thread.message.created event`, a `thread.message.in_progress` event, many `thread.message.delta` events, and finally a `thread.message.completed` event. We may add additional events over time, so we recommend handling unknown events gracefully in your code. See the [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview) to learn how to integrate the Assistants API with streaming. - `thread.created: object { data, event, enabled }` Occurs when a new [thread](https://platform.openai.com/docs/api-reference/threads/object) is created. - `data: object { id, created_at, metadata, 2 more }` Represents a thread that contains [messages](https://platform.openai.com/docs/api-reference/messages). - `id: string` The identifier, which can be referenced in API endpoints. - `created_at: number` The Unix timestamp (in seconds) for when the thread was created. - `metadata: map[string]` 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. - `object: "thread"` The object type, which is always `thread`. - `tool_resources: object { code_interpreter, file_search }` 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. - `code_interpreter: optional object { file_ids }` - `file_ids: optional array of string` A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - `file_search: optional object { vector_store_ids }` - `vector_store_ids: optional array of string` The [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. - `event: "thread.created"` - `enabled: optional boolean` Whether to enable input audio transcription. - `thread.run.created: object { data, event }` Occurs when a new [run](https://platform.openai.com/docs/api-reference/runs/object) is created. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `reason: optional "max_completion_tokens" or "max_prompt_tokens"` The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run. - `"max_completion_tokens"` - `"max_prompt_tokens"` - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `code: "server_error" or "rate_limit_exceeded" or "invalid_prompt"` One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`. - `"server_error"` - `"rate_limit_exceeded"` - `"invalid_prompt"` - `message: string` A human-readable description of the error. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `submit_tool_outputs: object { tool_calls }` Details on the tool outputs needed for this run to continue. - `tool_calls: array of RequiredActionFunctionToolCall` A list of the relevant tool calls. - `id: string` 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](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) endpoint. - `function: object { arguments, name }` The function definition. - `arguments: string` The arguments that the model expects you to pass to the function. - `name: string` The name of the function. - `type: "function"` The type of tool call the output is required for. For now, this is always `function`. - `type: "submit_tool_outputs"` For now, this is always `submit_tool_outputs`. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `union_member_0: "auto"` `auto` is the default value - `response_format_text: object { type }` Default response format. Used to generate text responses. - `type: "text"` The type of response format being defined. Always `text`. - `response_format_json_object: object { type }` 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. - `type: "json_object"` The type of response format being defined. Always `json_object`. - `response_format_json_schema: object { json_schema, type }` JSON Schema response format. Used to generate structured JSON responses. Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - `json_schema: object { name, description, schema, strict }` Structured Outputs configuration options, including a JSON Schema. - `name: string` The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the response format is for, used by the model to determine how to respond in the format. - `schema: optional map[unknown]` The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/). - `strict: optional boolean` Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - `type: "json_schema"` The type of response format being defined. Always `json_schema`. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `"queued"` - `"in_progress"` - `"requires_action"` - `"cancelling"` - `"cancelled"` - `"failed"` - `"completed"` - `"incomplete"` - `"expired"` - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `Auto: "none" or "auto" or "required"` `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. - `"none"` - `"auto"` - `"required"` - `assistant_tool_choice: object { type, function }` Specifies a tool the model should use. Use to force the model to call a specific tool. - `type: "function" or "code_interpreter" or "file_search"` The type of the tool. If type is `function`, the function name must be set - `"function"` - `"code_interpreter"` - `"file_search"` - `function: optional object { name }` - `name: string` The name of the function to call. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `type: "auto" or "last_messages"` 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`. - `"auto"` - `"last_messages"` - `last_messages: optional number` The number of most recent messages from the thread when constructing the context for the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `completion_tokens: number` Number of completion tokens used over the course of the run. - `prompt_tokens: number` Number of prompt tokens used over the course of the run. - `total_tokens: number` Total number of tokens used (prompt + completion). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.created"` - `thread.run.queued: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `queued` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.queued"` - `thread.run.in_progress: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to an `in_progress` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.in_progress"` - `thread.run.requires_action: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `requires_action` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.requires_action"` - `thread.run.completed: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) is completed. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.completed"` - `thread.run.incomplete: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) ends with status `incomplete`. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.incomplete"` - `thread.run.failed: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) fails. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.failed"` - `thread.run.cancelling: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `cancelling` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.cancelling"` - `thread.run.cancelled: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) is cancelled. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.cancelled"` - `thread.run.expired: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) expires. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.expired"` - `thread.run.step.created: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) is created. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `code: "server_error" or "rate_limit_exceeded"` One of `server_error` or `rate_limit_exceeded`. - `"server_error"` - `"rate_limit_exceeded"` - `message: string` A human-readable description of the error. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `"in_progress"` - `"cancelled"` - `"failed"` - `"completed"` - `"expired"` - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `message_creation_step_details: object { message_creation, type }` Details of the message creation by the run step. - `message_creation: object { message_id }` - `message_id: string` The ID of the message that was created by this run step. - `type: "message_creation"` Always `message_creation`. - `tool_calls_step_details: object { tool_calls, type }` Details of the tool call. - `tool_calls: array of ToolCall` An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool_call: object { id, code_interpreter, type }` Details of the Code Interpreter tool call the run step was involved in. - `id: string` The ID of the tool call. - `code_interpreter: object { input, outputs }` The Code Interpreter tool call definition. - `input: string` The input to the Code Interpreter tool call. - `outputs: array of object { logs, type } or object { image, type }` The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. - `logs: object { logs, type }` Text output from the Code Interpreter tool call as part of a run step. - `logs: string` The text output from the Code Interpreter tool call. - `type: "logs"` Always `logs`. - `image: object { image, type }` - `image: object { file_id }` - `file_id: string` The [file](https://platform.openai.com/docs/api-reference/files) ID of the image. - `type: "image"` Always `image`. - `type: "code_interpreter"` The type of tool call. This is always going to be `code_interpreter` for this type of tool call. - `file_search_tool_call: object { id, file_search, type }` - `id: string` The ID of the tool call object. - `file_search: object { ranking_options, results }` For now, this is always going to be an empty object. - `ranking_options: optional object { ranker, score_threshold }` The ranking options for the file search. - `ranker: "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `results: optional array of object { file_id, file_name, score, content }` The results of the file search. - `file_id: string` The ID of the file that result was found in. - `file_name: string` The name of the file that result was found in. - `score: number` The score of the result. All values must be a floating point number between 0 and 1. - `content: optional array of object { text, type }` The content of the result that was found. The content is only included if requested via the include query parameter. - `text: optional string` The text content of the file. - `type: optional "text"` The type of the content. - `"text"` - `type: "file_search"` The type of tool call. This is always going to be `file_search` for this type of tool call. - `function_tool_call: object { id, function, type }` - `id: string` The ID of the tool call object. - `function: object { arguments, name, output }` The definition of the function that was called. - `arguments: string` The arguments passed to the function. - `name: string` The name of the function. - `output: string` The output of the function. This will be `null` if the outputs have not been [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) yet. - `type: "function"` The type of tool call. This is always going to be `function` for this type of tool call. - `type: "tool_calls"` Always `tool_calls`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `"message_creation"` - `"tool_calls"` - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `completion_tokens: number` Number of completion tokens used over the course of the run step. - `prompt_tokens: number` Number of prompt tokens used over the course of the run step. - `total_tokens: number` Total number of tokens used (prompt + completion). - `event: "thread.run.step.created"` - `thread.run.step.in_progress: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) moves to an `in_progress` state. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.in_progress"` - `thread.run.step.delta: object { data, event }` Occurs when parts of a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) are being streamed. - `data: object { id, delta, object }` Represents a run step delta i.e. any changed fields on a run step during streaming. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `delta: object { step_details }` The delta containing the fields that have changed on the run step. - `step_details: optional RunStepDeltaMessageDelta or ToolCallDeltaObject` The details of the run step. - `run_step_delta_message_delta: object { type, message_creation }` Details of the message creation by the run step. - `type: "message_creation"` Always `message_creation`. - `message_creation: optional object { message_id }` - `message_id: optional string` The ID of the message that was created by this run step. - `tool_call_delta_object: object { type, tool_calls }` Details of the tool call. - `type: "tool_calls"` Always `tool_calls`. - `tool_calls: optional array of ToolCallDelta` An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool_call_delta: object { index, type, id, code_interpreter }` Details of the Code Interpreter tool call the run step was involved in. - `index: number` The index of the tool call in the tool calls array. - `type: "code_interpreter"` The type of tool call. This is always going to be `code_interpreter` for this type of tool call. - `id: optional string` The ID of the tool call. - `code_interpreter: optional object { input, outputs }` The Code Interpreter tool call definition. - `input: optional string` The input to the Code Interpreter tool call. - `outputs: optional array of CodeInterpreterLogs or CodeInterpreterOutputImage` The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. - `code_interpreter_logs: object { index, type, logs }` Text output from the Code Interpreter tool call as part of a run step. - `index: number` The index of the output in the outputs array. - `type: "logs"` Always `logs`. - `logs: optional string` The text output from the Code Interpreter tool call. - `code_interpreter_output_image: object { index, type, image }` - `index: number` The index of the output in the outputs array. - `type: "image"` Always `image`. - `image: optional object { file_id }` - `file_id: optional string` The [file](https://platform.openai.com/docs/api-reference/files) ID of the image. - `file_search_tool_call_delta: object { file_search, index, type, id }` - `file_search: unknown` For now, this is always going to be an empty object. - `index: number` The index of the tool call in the tool calls array. - `type: "file_search"` The type of tool call. This is always going to be `file_search` for this type of tool call. - `id: optional string` The ID of the tool call object. - `function_tool_call_delta: object { index, type, id, function }` - `index: number` The index of the tool call in the tool calls array. - `type: "function"` The type of tool call. This is always going to be `function` for this type of tool call. - `id: optional string` The ID of the tool call object. - `function: optional object { arguments, name, output }` The definition of the function that was called. - `arguments: optional string` The arguments passed to the function. - `name: optional string` The name of the function. - `output: optional string` The output of the function. This will be `null` if the outputs have not been [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) yet. - `object: "thread.run.step.delta"` The object type, which is always `thread.run.step.delta`. - `event: "thread.run.step.delta"` - `thread.run.step.completed: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) is completed. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.completed"` - `thread.run.step.failed: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) fails. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.failed"` - `thread.run.step.cancelled: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) is cancelled. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.cancelled"` - `thread.run.step.expired: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) expires. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.expired"` - `thread.message.created: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) is created. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `file_id: optional string` The ID of the file to attach to the message. - `tools: optional array of CodeInterpreterTool or object { type }` The tools to add this file to. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `AssistantToolsFileSearchTypeOnly: object { type }` - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `image_file_content_block: object { image_file, type }` References an image [File](https://platform.openai.com/docs/api-reference/files) in the content of a message. - `image_file: object { file_id, detail }` - `file_id: string` The [File](https://platform.openai.com/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. - `detail: optional "auto" or "low" or "high"` 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`. - `"auto"` - `"low"` - `"high"` - `type: "image_file"` Always `image_file`. - `image_url_content_block: object { image_url, type }` References an image URL in the content of a message. - `image_url: object { url, detail }` - `url: string` The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp. - `detail: optional "auto" or "low" or "high"` Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. Default value is `auto` - `"auto"` - `"low"` - `"high"` - `type: "image_url"` The type of the content part. - `text_content_block: object { text, type }` The text content that is part of a message. - `text: object { annotations, value }` - `annotations: array of Annotation` - `file_citation_annotation: object { end_index, file_citation, start_index, 2 more }` A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. - `end_index: number` - `file_citation: object { file_id }` - `file_id: string` The ID of the specific File the citation is from. - `start_index: number` - `text: string` The text in the message content that needs to be replaced. - `type: "file_citation"` Always `file_citation`. - `file_path_annotation: object { end_index, file_path, start_index, 2 more }` A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. - `end_index: number` - `file_path: object { file_id }` - `file_id: string` The ID of the file that was generated. - `start_index: number` - `text: string` The text in the message content that needs to be replaced. - `type: "file_path"` Always `file_path`. - `value: string` The data that makes up the text. - `type: "text"` Always `text`. - `refusal_content_block: object { refusal, type }` The refusal content generated by the assistant. - `refusal: string` - `type: "refusal"` Always `refusal`. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `reason: "content_filter" or "max_tokens" or "run_cancelled" or 2 more` The reason the message is incomplete. - `"content_filter"` - `"max_tokens"` - `"run_cancelled"` - `"run_expired"` - `"run_failed"` - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `"user"` - `"assistant"` - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `"in_progress"` - `"incomplete"` - `"completed"` - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.created"` - `thread.message.in_progress: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) moves to an `in_progress` state. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.in_progress"` - `thread.message.delta: object { data, event }` Occurs when parts of a [Message](https://platform.openai.com/docs/api-reference/messages/object) are being streamed. - `data: object { id, delta, object }` Represents a message delta i.e. any changed fields on a message during streaming. - `id: string` The identifier of the message, which can be referenced in API endpoints. - `delta: object { content, role }` The delta containing the fields that have changed on the Message. - `content: optional array of MessageContentDelta` The content of the message in array of text and/or images. - `image_file_delta_block: object { index, type, image_file }` References an image [File](https://platform.openai.com/docs/api-reference/files) in the content of a message. - `index: number` The index of the content part in the message. - `type: "image_file"` Always `image_file`. - `image_file: optional object { detail, file_id }` - `detail: optional "auto" or "low" or "high"` 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`. - `"auto"` - `"low"` - `"high"` - `file_id: optional string` The [File](https://platform.openai.com/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. - `text_delta_block: object { index, type, text }` The text content that is part of a message. - `index: number` The index of the content part in the message. - `type: "text"` Always `text`. - `text: optional object { annotations, value }` - `annotations: optional array of AnnotationDelta` - `file_citation_delta_annotation: object { index, type, end_index, 3 more }` A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. - `index: number` The index of the annotation in the text content part. - `type: "file_citation"` Always `file_citation`. - `end_index: optional number` - `file_citation: optional object { file_id, quote }` - `file_id: optional string` The ID of the specific File the citation is from. - `quote: optional string` The specific quote in the file. - `start_index: optional number` - `text: optional string` The text in the message content that needs to be replaced. - `file_path_delta_annotation: object { index, type, end_index, 3 more }` A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. - `index: number` The index of the annotation in the text content part. - `type: "file_path"` Always `file_path`. - `end_index: optional number` - `file_path: optional object { file_id }` - `file_id: optional string` The ID of the file that was generated. - `start_index: optional number` - `text: optional string` The text in the message content that needs to be replaced. - `value: optional string` The data that makes up the text. - `refusal_delta_block: object { index, type, refusal }` The refusal content that is part of a message. - `index: number` The index of the refusal part in the message. - `type: "refusal"` Always `refusal`. - `refusal: optional string` - `image_url_delta_block: object { index, type, image_url }` References an image URL in the content of a message. - `index: number` The index of the content part in the message. - `type: "image_url"` Always `image_url`. - `image_url: optional object { detail, url }` - `detail: optional "auto" or "low" or "high"` Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. - `"auto"` - `"low"` - `"high"` - `url: optional string` The URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp. - `role: optional "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `"user"` - `"assistant"` - `object: "thread.message.delta"` The object type, which is always `thread.message.delta`. - `event: "thread.message.delta"` - `thread.message.completed: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) is completed. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.completed"` - `thread.message.incomplete: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) ends before it is completed. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.incomplete"` - `error_event: object { data, event }` Occurs when an [error](https://platform.openai.com/docs/guides/error-codes#api-errors) occurs. This can happen due to an internal server error or a timeout. - `data: object { code, message, param, type }` - `code: string` - `message: string` - `param: string` - `type: string` - `event: "error"` ### Assistant Tool - `assistant_tool: CodeInterpreterTool or FileSearchTool or FunctionTool` - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` ### Code Interpreter Tool - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` ### File Search Tool - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` ### Function Tool - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` ### Message Stream Event - `message_stream_event: object { data, event } or object { data, event } or object { data, event } or 2 more` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) is created. - `thread.message.created: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) is created. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `file_id: optional string` The ID of the file to attach to the message. - `tools: optional array of CodeInterpreterTool or object { type }` The tools to add this file to. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `AssistantToolsFileSearchTypeOnly: object { type }` - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `image_file_content_block: object { image_file, type }` References an image [File](https://platform.openai.com/docs/api-reference/files) in the content of a message. - `image_file: object { file_id, detail }` - `file_id: string` The [File](https://platform.openai.com/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. - `detail: optional "auto" or "low" or "high"` 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`. - `"auto"` - `"low"` - `"high"` - `type: "image_file"` Always `image_file`. - `image_url_content_block: object { image_url, type }` References an image URL in the content of a message. - `image_url: object { url, detail }` - `url: string` The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp. - `detail: optional "auto" or "low" or "high"` Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. Default value is `auto` - `"auto"` - `"low"` - `"high"` - `type: "image_url"` The type of the content part. - `text_content_block: object { text, type }` The text content that is part of a message. - `text: object { annotations, value }` - `annotations: array of Annotation` - `file_citation_annotation: object { end_index, file_citation, start_index, 2 more }` A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. - `end_index: number` - `file_citation: object { file_id }` - `file_id: string` The ID of the specific File the citation is from. - `start_index: number` - `text: string` The text in the message content that needs to be replaced. - `type: "file_citation"` Always `file_citation`. - `file_path_annotation: object { end_index, file_path, start_index, 2 more }` A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. - `end_index: number` - `file_path: object { file_id }` - `file_id: string` The ID of the file that was generated. - `start_index: number` - `text: string` The text in the message content that needs to be replaced. - `type: "file_path"` Always `file_path`. - `value: string` The data that makes up the text. - `type: "text"` Always `text`. - `refusal_content_block: object { refusal, type }` The refusal content generated by the assistant. - `refusal: string` - `type: "refusal"` Always `refusal`. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `reason: "content_filter" or "max_tokens" or "run_cancelled" or 2 more` The reason the message is incomplete. - `"content_filter"` - `"max_tokens"` - `"run_cancelled"` - `"run_expired"` - `"run_failed"` - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `"user"` - `"assistant"` - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `"in_progress"` - `"incomplete"` - `"completed"` - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.created"` - `thread.message.in_progress: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) moves to an `in_progress` state. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.in_progress"` - `thread.message.delta: object { data, event }` Occurs when parts of a [Message](https://platform.openai.com/docs/api-reference/messages/object) are being streamed. - `data: object { id, delta, object }` Represents a message delta i.e. any changed fields on a message during streaming. - `id: string` The identifier of the message, which can be referenced in API endpoints. - `delta: object { content, role }` The delta containing the fields that have changed on the Message. - `content: optional array of MessageContentDelta` The content of the message in array of text and/or images. - `image_file_delta_block: object { index, type, image_file }` References an image [File](https://platform.openai.com/docs/api-reference/files) in the content of a message. - `index: number` The index of the content part in the message. - `type: "image_file"` Always `image_file`. - `image_file: optional object { detail, file_id }` - `detail: optional "auto" or "low" or "high"` 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`. - `"auto"` - `"low"` - `"high"` - `file_id: optional string` The [File](https://platform.openai.com/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. - `text_delta_block: object { index, type, text }` The text content that is part of a message. - `index: number` The index of the content part in the message. - `type: "text"` Always `text`. - `text: optional object { annotations, value }` - `annotations: optional array of AnnotationDelta` - `file_citation_delta_annotation: object { index, type, end_index, 3 more }` A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. - `index: number` The index of the annotation in the text content part. - `type: "file_citation"` Always `file_citation`. - `end_index: optional number` - `file_citation: optional object { file_id, quote }` - `file_id: optional string` The ID of the specific File the citation is from. - `quote: optional string` The specific quote in the file. - `start_index: optional number` - `text: optional string` The text in the message content that needs to be replaced. - `file_path_delta_annotation: object { index, type, end_index, 3 more }` A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. - `index: number` The index of the annotation in the text content part. - `type: "file_path"` Always `file_path`. - `end_index: optional number` - `file_path: optional object { file_id }` - `file_id: optional string` The ID of the file that was generated. - `start_index: optional number` - `text: optional string` The text in the message content that needs to be replaced. - `value: optional string` The data that makes up the text. - `refusal_delta_block: object { index, type, refusal }` The refusal content that is part of a message. - `index: number` The index of the refusal part in the message. - `type: "refusal"` Always `refusal`. - `refusal: optional string` - `image_url_delta_block: object { index, type, image_url }` References an image URL in the content of a message. - `index: number` The index of the content part in the message. - `type: "image_url"` Always `image_url`. - `image_url: optional object { detail, url }` - `detail: optional "auto" or "low" or "high"` Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. - `"auto"` - `"low"` - `"high"` - `url: optional string` The URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp. - `role: optional "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `"user"` - `"assistant"` - `object: "thread.message.delta"` The object type, which is always `thread.message.delta`. - `event: "thread.message.delta"` - `thread.message.completed: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) is completed. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.completed"` - `thread.message.incomplete: object { data, event }` Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) ends before it is completed. - `data: object { id, assistant_id, attachments, 11 more }` Represents a message within a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message. - `attachments: array of object { file_id, tools }` A list of files attached to the message, and the tools they were added to. - `completed_at: number` The Unix timestamp (in seconds) for when the message was completed. - `content: array of MessageContent` The content of the message in array of text and/or images. - `created_at: number` The Unix timestamp (in seconds) for when the message was created. - `incomplete_at: number` The Unix timestamp (in seconds) for when the message was marked as incomplete. - `incomplete_details: object { reason }` On an incomplete message, details about why the message is incomplete. - `metadata: map[string]` 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. - `object: "thread.message"` The object type, which is always `thread.message`. - `role: "user" or "assistant"` The entity that produced the message. One of `user` or `assistant`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - `status: "in_progress" or "incomplete" or "completed"` The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - `thread_id: string` The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to. - `event: "thread.message.incomplete"` ### Run Step Stream Event - `run_step_stream_event: object { data, event } or object { data, event } or object { data, event } or 4 more` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) is created. - `thread.run.step.created: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) is created. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `code: "server_error" or "rate_limit_exceeded"` One of `server_error` or `rate_limit_exceeded`. - `"server_error"` - `"rate_limit_exceeded"` - `message: string` A human-readable description of the error. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `"in_progress"` - `"cancelled"` - `"failed"` - `"completed"` - `"expired"` - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `message_creation_step_details: object { message_creation, type }` Details of the message creation by the run step. - `message_creation: object { message_id }` - `message_id: string` The ID of the message that was created by this run step. - `type: "message_creation"` Always `message_creation`. - `tool_calls_step_details: object { tool_calls, type }` Details of the tool call. - `tool_calls: array of ToolCall` An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool_call: object { id, code_interpreter, type }` Details of the Code Interpreter tool call the run step was involved in. - `id: string` The ID of the tool call. - `code_interpreter: object { input, outputs }` The Code Interpreter tool call definition. - `input: string` The input to the Code Interpreter tool call. - `outputs: array of object { logs, type } or object { image, type }` The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. - `logs: object { logs, type }` Text output from the Code Interpreter tool call as part of a run step. - `logs: string` The text output from the Code Interpreter tool call. - `type: "logs"` Always `logs`. - `image: object { image, type }` - `image: object { file_id }` - `file_id: string` The [file](https://platform.openai.com/docs/api-reference/files) ID of the image. - `type: "image"` Always `image`. - `type: "code_interpreter"` The type of tool call. This is always going to be `code_interpreter` for this type of tool call. - `file_search_tool_call: object { id, file_search, type }` - `id: string` The ID of the tool call object. - `file_search: object { ranking_options, results }` For now, this is always going to be an empty object. - `ranking_options: optional object { ranker, score_threshold }` The ranking options for the file search. - `ranker: "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `results: optional array of object { file_id, file_name, score, content }` The results of the file search. - `file_id: string` The ID of the file that result was found in. - `file_name: string` The name of the file that result was found in. - `score: number` The score of the result. All values must be a floating point number between 0 and 1. - `content: optional array of object { text, type }` The content of the result that was found. The content is only included if requested via the include query parameter. - `text: optional string` The text content of the file. - `type: optional "text"` The type of the content. - `"text"` - `type: "file_search"` The type of tool call. This is always going to be `file_search` for this type of tool call. - `function_tool_call: object { id, function, type }` - `id: string` The ID of the tool call object. - `function: object { arguments, name, output }` The definition of the function that was called. - `arguments: string` The arguments passed to the function. - `name: string` The name of the function. - `output: string` The output of the function. This will be `null` if the outputs have not been [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) yet. - `type: "function"` The type of tool call. This is always going to be `function` for this type of tool call. - `type: "tool_calls"` Always `tool_calls`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `"message_creation"` - `"tool_calls"` - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `completion_tokens: number` Number of completion tokens used over the course of the run step. - `prompt_tokens: number` Number of prompt tokens used over the course of the run step. - `total_tokens: number` Total number of tokens used (prompt + completion). - `event: "thread.run.step.created"` - `thread.run.step.in_progress: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) moves to an `in_progress` state. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.in_progress"` - `thread.run.step.delta: object { data, event }` Occurs when parts of a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) are being streamed. - `data: object { id, delta, object }` Represents a run step delta i.e. any changed fields on a run step during streaming. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `delta: object { step_details }` The delta containing the fields that have changed on the run step. - `step_details: optional RunStepDeltaMessageDelta or ToolCallDeltaObject` The details of the run step. - `run_step_delta_message_delta: object { type, message_creation }` Details of the message creation by the run step. - `type: "message_creation"` Always `message_creation`. - `message_creation: optional object { message_id }` - `message_id: optional string` The ID of the message that was created by this run step. - `tool_call_delta_object: object { type, tool_calls }` Details of the tool call. - `type: "tool_calls"` Always `tool_calls`. - `tool_calls: optional array of ToolCallDelta` An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. - `code_interpreter_tool_call_delta: object { index, type, id, code_interpreter }` Details of the Code Interpreter tool call the run step was involved in. - `index: number` The index of the tool call in the tool calls array. - `type: "code_interpreter"` The type of tool call. This is always going to be `code_interpreter` for this type of tool call. - `id: optional string` The ID of the tool call. - `code_interpreter: optional object { input, outputs }` The Code Interpreter tool call definition. - `input: optional string` The input to the Code Interpreter tool call. - `outputs: optional array of CodeInterpreterLogs or CodeInterpreterOutputImage` The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. - `code_interpreter_logs: object { index, type, logs }` Text output from the Code Interpreter tool call as part of a run step. - `index: number` The index of the output in the outputs array. - `type: "logs"` Always `logs`. - `logs: optional string` The text output from the Code Interpreter tool call. - `code_interpreter_output_image: object { index, type, image }` - `index: number` The index of the output in the outputs array. - `type: "image"` Always `image`. - `image: optional object { file_id }` - `file_id: optional string` The [file](https://platform.openai.com/docs/api-reference/files) ID of the image. - `file_search_tool_call_delta: object { file_search, index, type, id }` - `file_search: unknown` For now, this is always going to be an empty object. - `index: number` The index of the tool call in the tool calls array. - `type: "file_search"` The type of tool call. This is always going to be `file_search` for this type of tool call. - `id: optional string` The ID of the tool call object. - `function_tool_call_delta: object { index, type, id, function }` - `index: number` The index of the tool call in the tool calls array. - `type: "function"` The type of tool call. This is always going to be `function` for this type of tool call. - `id: optional string` The ID of the tool call object. - `function: optional object { arguments, name, output }` The definition of the function that was called. - `arguments: optional string` The arguments passed to the function. - `name: optional string` The name of the function. - `output: optional string` The output of the function. This will be `null` if the outputs have not been [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) yet. - `object: "thread.run.step.delta"` The object type, which is always `thread.run.step.delta`. - `event: "thread.run.step.delta"` - `thread.run.step.completed: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) is completed. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.completed"` - `thread.run.step.failed: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) fails. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.failed"` - `thread.run.step.cancelled: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) is cancelled. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.cancelled"` - `thread.run.step.expired: object { data, event }` Occurs when a [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) expires. - `data: object { id, assistant_id, cancelled_at, 13 more }` Represents a step in execution of a run. - `id: string` The identifier of the run step, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run step was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run step completed. - `created_at: number` The Unix timestamp (in seconds) for when the run step was created. - `expired_at: number` The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - `failed_at: number` The Unix timestamp (in seconds) for when the run step failed. - `last_error: object { code, message }` The last error associated with this run step. Will be `null` if there are no errors. - `metadata: map[string]` 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. - `object: "thread.run.step"` The object type, which is always `thread.run.step`. - `run_id: string` The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of. - `status: "in_progress" or "cancelled" or "failed" or 2 more` The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - `step_details: MessageCreationStepDetails or ToolCallsStepDetails` The details of the run step. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run. - `type: "message_creation" or "tool_calls"` The type of run step, which can be either `message_creation` or `tool_calls`. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - `event: "thread.run.step.expired"` ### Run Stream Event - `run_stream_event: object { data, event } or object { data, event } or object { data, event } or 7 more` Occurs when a new [run](https://platform.openai.com/docs/api-reference/runs/object) is created. - `thread.run.created: object { data, event }` Occurs when a new [run](https://platform.openai.com/docs/api-reference/runs/object) is created. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `reason: optional "max_completion_tokens" or "max_prompt_tokens"` The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run. - `"max_completion_tokens"` - `"max_prompt_tokens"` - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `code: "server_error" or "rate_limit_exceeded" or "invalid_prompt"` One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`. - `"server_error"` - `"rate_limit_exceeded"` - `"invalid_prompt"` - `message: string` A human-readable description of the error. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `submit_tool_outputs: object { tool_calls }` Details on the tool outputs needed for this run to continue. - `tool_calls: array of RequiredActionFunctionToolCall` A list of the relevant tool calls. - `id: string` 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](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) endpoint. - `function: object { arguments, name }` The function definition. - `arguments: string` The arguments that the model expects you to pass to the function. - `name: string` The name of the function. - `type: "function"` The type of tool call the output is required for. For now, this is always `function`. - `type: "submit_tool_outputs"` For now, this is always `submit_tool_outputs`. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `union_member_0: "auto"` `auto` is the default value - `response_format_text: object { type }` Default response format. Used to generate text responses. - `type: "text"` The type of response format being defined. Always `text`. - `response_format_json_object: object { type }` 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. - `type: "json_object"` The type of response format being defined. Always `json_object`. - `response_format_json_schema: object { json_schema, type }` JSON Schema response format. Used to generate structured JSON responses. Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - `json_schema: object { name, description, schema, strict }` Structured Outputs configuration options, including a JSON Schema. - `name: string` The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the response format is for, used by the model to determine how to respond in the format. - `schema: optional map[unknown]` The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/). - `strict: optional boolean` Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - `type: "json_schema"` The type of response format being defined. Always `json_schema`. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `"queued"` - `"in_progress"` - `"requires_action"` - `"cancelling"` - `"cancelled"` - `"failed"` - `"completed"` - `"incomplete"` - `"expired"` - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `Auto: "none" or "auto" or "required"` `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. - `"none"` - `"auto"` - `"required"` - `assistant_tool_choice: object { type, function }` Specifies a tool the model should use. Use to force the model to call a specific tool. - `type: "function" or "code_interpreter" or "file_search"` The type of the tool. If type is `function`, the function name must be set - `"function"` - `"code_interpreter"` - `"file_search"` - `function: optional object { name }` - `name: string` The name of the function to call. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `code_interpreter_tool: object { type }` - `type: "code_interpreter"` The type of tool being defined: `code_interpreter` - `file_search_tool: object { type, file_search }` - `type: "file_search"` The type of tool being defined: `file_search` - `file_search: optional object { max_num_results, ranking_options }` Overrides for the file search tool. - `max_num_results: optional number` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `ranking_options: optional object { score_threshold, ranker }` 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](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) for more information. - `score_threshold: number` The score threshold for the file search. All values must be a floating point number between 0 and 1. - `ranker: optional "auto" or "default_2024_08_21"` The ranker to use for the file search. If not specified will use the `auto` ranker. - `"auto"` - `"default_2024_08_21"` - `function_tool: object { function, type }` - `function: object { name, description, parameters, strict }` - `name: string` The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - `description: optional string` A description of what the function does, used by the model to choose when and how to call the function. - `parameters: optional map[unknown]` The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/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. - `strict: optional boolean` Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling). - `type: "function"` The type of tool being defined: `function` - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `type: "auto" or "last_messages"` 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`. - `"auto"` - `"last_messages"` - `last_messages: optional number` The number of most recent messages from the thread when constructing the context for the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `completion_tokens: number` Number of completion tokens used over the course of the run. - `prompt_tokens: number` Number of prompt tokens used over the course of the run. - `total_tokens: number` Total number of tokens used (prompt + completion). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.created"` - `thread.run.queued: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `queued` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.queued"` - `thread.run.in_progress: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to an `in_progress` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.in_progress"` - `thread.run.requires_action: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `requires_action` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.requires_action"` - `thread.run.completed: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) is completed. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.completed"` - `thread.run.incomplete: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) ends with status `incomplete`. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.incomplete"` - `thread.run.failed: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) fails. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.failed"` - `thread.run.cancelling: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `cancelling` status. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.cancelling"` - `thread.run.cancelled: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) is cancelled. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.cancelled"` - `thread.run.expired: object { data, event }` Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) expires. - `data: object { id, assistant_id, cancelled_at, 24 more }` Represents an execution run on a [thread](https://platform.openai.com/docs/api-reference/threads). - `id: string` The identifier, which can be referenced in API endpoints. - `assistant_id: string` The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for execution of this run. - `cancelled_at: number` The Unix timestamp (in seconds) for when the run was cancelled. - `completed_at: number` The Unix timestamp (in seconds) for when the run was completed. - `created_at: number` The Unix timestamp (in seconds) for when the run was created. - `expires_at: number` The Unix timestamp (in seconds) for when the run will expire. - `failed_at: number` The Unix timestamp (in seconds) for when the run failed. - `incomplete_details: object { reason }` Details on why the run is incomplete. Will be `null` if the run is not incomplete. - `instructions: string` The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `last_error: object { code, message }` The last error associated with this run. Will be `null` if there are no errors. - `max_completion_tokens: number` The maximum number of completion tokens specified to have been used over the course of the run. - `max_prompt_tokens: number` The maximum number of prompt tokens specified to have been used over the course of the run. - `metadata: map[string]` 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. - `model: string` The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `object: "thread.run"` The object type, which is always `thread.run`. - `parallel_tool_calls: boolean` Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. - `required_action: object { submit_tool_outputs, type }` Details on the action required to continue the run. Will be `null` if no action is required. - `response_format: "auto" or ResponseFormatText or ResponseFormatJSONObject or ResponseFormatJSONSchema` Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/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](https://platform.openai.com/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. - `started_at: number` The Unix timestamp (in seconds) for when the run was started. - `status: "queued" or "in_progress" or "requires_action" or 6 more` The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - `thread_id: string` The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run. - `tool_choice: "none" or "auto" or "required" or AssistantToolChoice` 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. - `tools: array of AssistantTool` The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run. - `truncation_strategy: object { type, last_messages }` Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run. - `usage: object { completion_tokens, prompt_tokens, total_tokens }` 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.). - `temperature: optional number` The sampling temperature used for this run. If not set, defaults to 1. - `top_p: optional number` The nucleus sampling value used for this run. If not set, defaults to 1. - `event: "thread.run.expired"` ### Thread Stream Event - `thread_stream_event: object { data, event, enabled }` Occurs when a new [thread](https://platform.openai.com/docs/api-reference/threads/object) is created. - `data: object { id, created_at, metadata, 2 more }` Represents a thread that contains [messages](https://platform.openai.com/docs/api-reference/messages). - `id: string` The identifier, which can be referenced in API endpoints. - `created_at: number` The Unix timestamp (in seconds) for when the thread was created. - `metadata: map[string]` 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. - `object: "thread"` The object type, which is always `thread`. - `tool_resources: object { code_interpreter, file_search }` 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. - `code_interpreter: optional object { file_ids }` - `file_ids: optional array of string` A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - `file_search: optional object { vector_store_ids }` - `vector_store_ids: optional array of string` The [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. - `event: "thread.created"` - `enabled: optional boolean` Whether to enable input audio transcription.