Assistants

List assistants

AssistantListPage beta().assistants().list(AssistantListParamsparams = AssistantListParams.none(), RequestOptionsrequestOptions = RequestOptions.none())

get /assistants

Returns a list of assistants.

Parameters

• AssistantListParams params

  • Optional<String> after

    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.

  • Optional<String> before

    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.

  • Optional<Long> limit

    A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.

  • Optional<Order> order

    Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.

    • ASC("asc")

    • DESC("desc")

Returns

• class Assistant:

  Represents an assistant that can call the model and use tools.

  • String id

    The identifier, which can be referenced in API endpoints.

  • long createdAt

    The Unix timestamp (in seconds) for when the assistant was created.

  • Optional<String> description

    The description of the assistant. The maximum length is 512 characters.

  • Optional<String> instructions

    The system instructions that the assistant uses. The maximum length is 256,000 characters.

  • Optional<Metadata> metadata

    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.

  • String model

    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  • Optional<String> name

    The name of the assistant. The maximum length is 256 characters.

  • JsonValue; object_ "assistant"constant

    The object type, which is always assistant.

    • ASSISTANT("assistant")

  • List<AssistantTool> tools

    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.

    • class CodeInterpreterTool:

      • JsonValue; type "code_interpreter"constant

        The type of tool being defined: code_interpreter

        • CODE_INTERPRETER("code_interpreter")

    • class FileSearchTool:

      • JsonValue; type "file_search"constant

        The type of tool being defined: file_search

        • FILE_SEARCH("file_search")

      • Optional<FileSearch> fileSearch

        Overrides for the file search tool.

        • Optional<Long> maxNumResults

          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 for more information.

        • Optional<RankingOptions> rankingOptions

          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 for more information.

          • double scoreThreshold

            The score threshold for the file search. All values must be a floating point number between 0 and 1.

          • Optional<Ranker> ranker

            The ranker to use for the file search. If not specified will use the auto ranker.

            • AUTO("auto")

            • DEFAULT_2024_08_21("default_2024_08_21")

    • class FunctionTool:

      • FunctionDefinition function

        • String name

          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.

        • Optional<String> description

          A description of what the function does, used by the model to choose when and how to call the function.

        • Optional<FunctionParameters> parameters

          The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

          Omitting parameters defines a function with an empty parameter list.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "function"constant

        The type of tool being defined: function

        • FUNCTION("function")

  • Optional<AssistantResponseFormatOption> responseFormat

    Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

    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.

    • JsonValue;

      • AUTO("auto")

    • class ResponseFormatText:

      Default response format. Used to generate text responses.

      • JsonValue; type "text"constant

        The type of response format being defined. Always text.

        • TEXT("text")

    • class ResponseFormatJsonObject:

      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.

      • JsonValue; type "json_object"constant

        The type of response format being defined. Always json_object.

        • JSON_OBJECT("json_object")

    • class ResponseFormatJsonSchema:

      JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

      • JsonSchema jsonSchema

        Structured Outputs configuration options, including a JSON Schema.

        • String name

          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.

        • Optional<String> description

          A description of what the response format is for, used by the model to determine how to respond in the format.

        • Optional<Schema> schema

          The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "json_schema"constant

        The type of response format being defined. Always json_schema.

        • JSON_SCHEMA("json_schema")

  • Optional<Double> temperature

    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.

  • Optional<ToolResources> toolResources

    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.

    • Optional<CodeInterpreter> codeInterpreter

      • Optional<List<String>> fileIds

        A list of file IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool.

    • Optional<FileSearch> fileSearch

      • Optional<List<String>> vectorStoreIds

        The ID of the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

  • Optional<Double> topP

    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

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.assistants.AssistantListPage;
import com.openai.models.beta.assistants.AssistantListParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        AssistantListPage page = client.beta().assistants().list();
    }
}

Response

{
  "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

Assistant beta().assistants().create(AssistantCreateParamsparams, RequestOptionsrequestOptions = RequestOptions.none())

post /assistants

Create an assistant with a model and instructions.

Parameters

• AssistantCreateParams params

  • ChatModel model

    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  • Optional<String> description

    The description of the assistant. The maximum length is 512 characters.

  • Optional<String> instructions

    The system instructions that the assistant uses. The maximum length is 256,000 characters.

  • Optional<Metadata> metadata

    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.

  • Optional<String> name

    The name of the assistant. The maximum length is 256 characters.

  • Optional<ReasoningEffort> reasoningEffort

    Constrains effort on reasoning for reasoning models. 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.

  • Optional<AssistantResponseFormatOption> responseFormat

    Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

    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.

  • Optional<Double> temperature

    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.

  • Optional<ToolResources> toolResources

    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.

    • Optional<CodeInterpreter> codeInterpreter

      • Optional<List<String>> fileIds

        A list of file IDs made available to the code_interpreter tool. There can be a maximum of 20 files associated with the tool.

    • Optional<FileSearch> fileSearch

      • Optional<List<String>> vectorStoreIds

        The vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

      • Optional<List<VectorStore>> vectorStores

        A helper to create a vector store with file_ids and attach it to this assistant. There can be a maximum of 1 vector store attached to the assistant.

        • Optional<ChunkingStrategy> chunkingStrategy

          The chunking strategy used to chunk the file(s). If not set, will use the auto strategy.

          • JsonValue;

            • JsonValue; type "auto"constant

              Always auto.

              • AUTO("auto")

          • class Static:

            • InnerStatic static_

              • long chunkOverlapTokens

                The number of tokens that overlap between chunks. The default value is 400.

                Note that the overlap must not exceed half of max_chunk_size_tokens.

              • long maxChunkSizeTokens

                The maximum number of tokens in each chunk. The default value is 800. The minimum value is 100 and the maximum value is 4096.

            • JsonValue; type "static"constant

              Always static.

              • STATIC("static")

        • Optional<List<String>> fileIds

          A list of file IDs to add to the vector store. For vector stores created before Nov 2025, there can be a maximum of 10,000 files in a vector store. For vector stores created starting in Nov 2025, the limit is 100,000,000 files.

        • Optional<Metadata> metadata

          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.

  • Optional<List<AssistantTool>> tools

    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.

    • class CodeInterpreterTool:

      • JsonValue; type "code_interpreter"constant

        The type of tool being defined: code_interpreter

        • CODE_INTERPRETER("code_interpreter")

    • class FileSearchTool:

      • JsonValue; type "file_search"constant

        The type of tool being defined: file_search

        • FILE_SEARCH("file_search")

      • Optional<FileSearch> fileSearch

        Overrides for the file search tool.

        • Optional<Long> maxNumResults

          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 for more information.

        • Optional<RankingOptions> rankingOptions

          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 for more information.

          • double scoreThreshold

            The score threshold for the file search. All values must be a floating point number between 0 and 1.

          • Optional<Ranker> ranker

            The ranker to use for the file search. If not specified will use the auto ranker.

            • AUTO("auto")

            • DEFAULT_2024_08_21("default_2024_08_21")

    • class FunctionTool:

      • FunctionDefinition function

        • String name

          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.

        • Optional<String> description

          A description of what the function does, used by the model to choose when and how to call the function.

        • Optional<FunctionParameters> parameters

          The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

          Omitting parameters defines a function with an empty parameter list.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "function"constant

        The type of tool being defined: function

        • FUNCTION("function")

  • Optional<Double> topP

    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

• class Assistant:

  Represents an assistant that can call the model and use tools.

  • String id

    The identifier, which can be referenced in API endpoints.

  • long createdAt

    The Unix timestamp (in seconds) for when the assistant was created.

  • Optional<String> description

    The description of the assistant. The maximum length is 512 characters.

  • Optional<String> instructions

    The system instructions that the assistant uses. The maximum length is 256,000 characters.

  • Optional<Metadata> metadata

    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.

  • String model

    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  • Optional<String> name

    The name of the assistant. The maximum length is 256 characters.

  • JsonValue; object_ "assistant"constant

    The object type, which is always assistant.

    • ASSISTANT("assistant")

  • List<AssistantTool> tools

    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.

    • class CodeInterpreterTool:

      • JsonValue; type "code_interpreter"constant

        The type of tool being defined: code_interpreter

        • CODE_INTERPRETER("code_interpreter")

    • class FileSearchTool:

      • JsonValue; type "file_search"constant

        The type of tool being defined: file_search

        • FILE_SEARCH("file_search")

      • Optional<FileSearch> fileSearch

        Overrides for the file search tool.

        • Optional<Long> maxNumResults

          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 for more information.

        • Optional<RankingOptions> rankingOptions

          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 for more information.

          • double scoreThreshold

            The score threshold for the file search. All values must be a floating point number between 0 and 1.

          • Optional<Ranker> ranker

            The ranker to use for the file search. If not specified will use the auto ranker.

            • AUTO("auto")

            • DEFAULT_2024_08_21("default_2024_08_21")

    • class FunctionTool:

      • FunctionDefinition function

        • String name

          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.

        • Optional<String> description

          A description of what the function does, used by the model to choose when and how to call the function.

        • Optional<FunctionParameters> parameters

          The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

          Omitting parameters defines a function with an empty parameter list.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "function"constant

        The type of tool being defined: function

        • FUNCTION("function")

  • Optional<AssistantResponseFormatOption> responseFormat

    Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

    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.

    • JsonValue;

      • AUTO("auto")

    • class ResponseFormatText:

      Default response format. Used to generate text responses.

      • JsonValue; type "text"constant

        The type of response format being defined. Always text.

        • TEXT("text")

    • class ResponseFormatJsonObject:

      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.

      • JsonValue; type "json_object"constant

        The type of response format being defined. Always json_object.

        • JSON_OBJECT("json_object")

    • class ResponseFormatJsonSchema:

      JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

      • JsonSchema jsonSchema

        Structured Outputs configuration options, including a JSON Schema.

        • String name

          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.

        • Optional<String> description

          A description of what the response format is for, used by the model to determine how to respond in the format.

        • Optional<Schema> schema

          The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "json_schema"constant

        The type of response format being defined. Always json_schema.

        • JSON_SCHEMA("json_schema")

  • Optional<Double> temperature

    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.

  • Optional<ToolResources> toolResources

    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.

    • Optional<CodeInterpreter> codeInterpreter

      • Optional<List<String>> fileIds

        A list of file IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool.

    • Optional<FileSearch> fileSearch

      • Optional<List<String>> vectorStoreIds

        The ID of the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

  • Optional<Double> topP

    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

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.ChatModel;
import com.openai.models.beta.assistants.Assistant;
import com.openai.models.beta.assistants.AssistantCreateParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        AssistantCreateParams params = AssistantCreateParams.builder()
            .model(ChatModel.GPT_4O)
            .build();
        Assistant assistant = client.beta().assistants().create(params);
    }
}

Response

{
  "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

Assistant beta().assistants().retrieve(AssistantRetrieveParamsparams = AssistantRetrieveParams.none(), RequestOptionsrequestOptions = RequestOptions.none())

get /assistants/{assistant_id}

Retrieves an assistant.

Parameters

• AssistantRetrieveParams params

  • Optional<String> assistantId

Returns

• class Assistant:

  Represents an assistant that can call the model and use tools.

  • String id

    The identifier, which can be referenced in API endpoints.

  • long createdAt

    The Unix timestamp (in seconds) for when the assistant was created.

  • Optional<String> description

    The description of the assistant. The maximum length is 512 characters.

  • Optional<String> instructions

    The system instructions that the assistant uses. The maximum length is 256,000 characters.

  • Optional<Metadata> metadata

    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.

  • String model

    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  • Optional<String> name

    The name of the assistant. The maximum length is 256 characters.

  • JsonValue; object_ "assistant"constant

    The object type, which is always assistant.

    • ASSISTANT("assistant")

  • List<AssistantTool> tools

    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.

    • class CodeInterpreterTool:

      • JsonValue; type "code_interpreter"constant

        The type of tool being defined: code_interpreter

        • CODE_INTERPRETER("code_interpreter")

    • class FileSearchTool:

      • JsonValue; type "file_search"constant

        The type of tool being defined: file_search

        • FILE_SEARCH("file_search")

      • Optional<FileSearch> fileSearch

        Overrides for the file search tool.

        • Optional<Long> maxNumResults

          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 for more information.

        • Optional<RankingOptions> rankingOptions

          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 for more information.

          • double scoreThreshold

            The score threshold for the file search. All values must be a floating point number between 0 and 1.

          • Optional<Ranker> ranker

            The ranker to use for the file search. If not specified will use the auto ranker.

            • AUTO("auto")

            • DEFAULT_2024_08_21("default_2024_08_21")

    • class FunctionTool:

      • FunctionDefinition function

        • String name

          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.

        • Optional<String> description

          A description of what the function does, used by the model to choose when and how to call the function.

        • Optional<FunctionParameters> parameters

          The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

          Omitting parameters defines a function with an empty parameter list.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "function"constant

        The type of tool being defined: function

        • FUNCTION("function")

  • Optional<AssistantResponseFormatOption> responseFormat

    Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

    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.

    • JsonValue;

      • AUTO("auto")

    • class ResponseFormatText:

      Default response format. Used to generate text responses.

      • JsonValue; type "text"constant

        The type of response format being defined. Always text.

        • TEXT("text")

    • class ResponseFormatJsonObject:

      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.

      • JsonValue; type "json_object"constant

        The type of response format being defined. Always json_object.

        • JSON_OBJECT("json_object")

    • class ResponseFormatJsonSchema:

      JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

      • JsonSchema jsonSchema

        Structured Outputs configuration options, including a JSON Schema.

        • String name

          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.

        • Optional<String> description

          A description of what the response format is for, used by the model to determine how to respond in the format.

        • Optional<Schema> schema

          The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "json_schema"constant

        The type of response format being defined. Always json_schema.

        • JSON_SCHEMA("json_schema")

  • Optional<Double> temperature

    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.

  • Optional<ToolResources> toolResources

    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.

    • Optional<CodeInterpreter> codeInterpreter

      • Optional<List<String>> fileIds

        A list of file IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool.

    • Optional<FileSearch> fileSearch

      • Optional<List<String>> vectorStoreIds

        The ID of the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

  • Optional<Double> topP

    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

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.assistants.Assistant;
import com.openai.models.beta.assistants.AssistantRetrieveParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        Assistant assistant = client.beta().assistants().retrieve("assistant_id");
    }
}

Response

{
  "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

Assistant beta().assistants().update(AssistantUpdateParamsparams = AssistantUpdateParams.none(), RequestOptionsrequestOptions = RequestOptions.none())

post /assistants/{assistant_id}

Modifies an assistant.

Parameters

• AssistantUpdateParams params

  • Optional<String> assistantId

  • Optional<String> description

    The description of the assistant. The maximum length is 512 characters.

  • Optional<String> instructions

    The system instructions that the assistant uses. The maximum length is 256,000 characters.

  • Optional<Metadata> metadata

    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.

  • Optional<Model> model

    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

    • GPT_5("gpt-5")

    • GPT_5_MINI("gpt-5-mini")

    • GPT_5_NANO("gpt-5-nano")

    • GPT_5_2025_08_07("gpt-5-2025-08-07")

    • GPT_5_MINI_2025_08_07("gpt-5-mini-2025-08-07")

    • GPT_5_NANO_2025_08_07("gpt-5-nano-2025-08-07")

    • GPT_4_1("gpt-4.1")

    • GPT_4_1_MINI("gpt-4.1-mini")

    • GPT_4_1_NANO("gpt-4.1-nano")

    • GPT_4_1_2025_04_14("gpt-4.1-2025-04-14")

    • GPT_4_1_MINI_2025_04_14("gpt-4.1-mini-2025-04-14")

    • GPT_4_1_NANO_2025_04_14("gpt-4.1-nano-2025-04-14")

    • O3_MINI("o3-mini")

    • O3_MINI_2025_01_31("o3-mini-2025-01-31")

    • O1("o1")

    • O1_2024_12_17("o1-2024-12-17")

    • GPT_4O("gpt-4o")

    • GPT_4O_2024_11_20("gpt-4o-2024-11-20")

    • GPT_4O_2024_08_06("gpt-4o-2024-08-06")

    • GPT_4O_2024_05_13("gpt-4o-2024-05-13")

    • GPT_4O_MINI("gpt-4o-mini")

    • GPT_4O_MINI_2024_07_18("gpt-4o-mini-2024-07-18")

    • GPT_4_5_PREVIEW("gpt-4.5-preview")

    • GPT_4_5_PREVIEW_2025_02_27("gpt-4.5-preview-2025-02-27")

    • GPT_4_TURBO("gpt-4-turbo")

    • GPT_4_TURBO_2024_04_09("gpt-4-turbo-2024-04-09")

    • GPT_4_0125_PREVIEW("gpt-4-0125-preview")

    • GPT_4_TURBO_PREVIEW("gpt-4-turbo-preview")

    • GPT_4_1106_PREVIEW("gpt-4-1106-preview")

    • GPT_4_VISION_PREVIEW("gpt-4-vision-preview")

    • GPT_4("gpt-4")

    • GPT_4_0314("gpt-4-0314")

    • GPT_4_0613("gpt-4-0613")

    • GPT_4_32K("gpt-4-32k")

    • GPT_4_32K_0314("gpt-4-32k-0314")

    • GPT_4_32K_0613("gpt-4-32k-0613")

    • GPT_3_5_TURBO("gpt-3.5-turbo")

    • GPT_3_5_TURBO_16K("gpt-3.5-turbo-16k")

    • GPT_3_5_TURBO_0613("gpt-3.5-turbo-0613")

    • GPT_3_5_TURBO_1106("gpt-3.5-turbo-1106")

    • GPT_3_5_TURBO_0125("gpt-3.5-turbo-0125")

    • GPT_3_5_TURBO_16K_0613("gpt-3.5-turbo-16k-0613")

  • Optional<String> name

    The name of the assistant. The maximum length is 256 characters.

  • Optional<ReasoningEffort> reasoningEffort

    Constrains effort on reasoning for reasoning models. 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.

  • Optional<AssistantResponseFormatOption> responseFormat

    Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

    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.

  • Optional<Double> temperature

    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.

  • Optional<ToolResources> toolResources

    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.

    • Optional<CodeInterpreter> codeInterpreter

      • Optional<List<String>> fileIds

        Overrides the list of file IDs made available to the code_interpreter tool. There can be a maximum of 20 files associated with the tool.

    • Optional<FileSearch> fileSearch

      • Optional<List<String>> vectorStoreIds

        Overrides the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

  • Optional<List<AssistantTool>> tools

    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.

    • class CodeInterpreterTool:

      • JsonValue; type "code_interpreter"constant

        The type of tool being defined: code_interpreter

        • CODE_INTERPRETER("code_interpreter")

    • class FileSearchTool:

      • JsonValue; type "file_search"constant

        The type of tool being defined: file_search

        • FILE_SEARCH("file_search")

      • Optional<FileSearch> fileSearch

        Overrides for the file search tool.

        • Optional<Long> maxNumResults

          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 for more information.

        • Optional<RankingOptions> rankingOptions

          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 for more information.

          • double scoreThreshold

            The score threshold for the file search. All values must be a floating point number between 0 and 1.

          • Optional<Ranker> ranker

            The ranker to use for the file search. If not specified will use the auto ranker.

            • AUTO("auto")

            • DEFAULT_2024_08_21("default_2024_08_21")

    • class FunctionTool:

      • FunctionDefinition function

        • String name

          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.

        • Optional<String> description

          A description of what the function does, used by the model to choose when and how to call the function.

        • Optional<FunctionParameters> parameters

          The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

          Omitting parameters defines a function with an empty parameter list.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "function"constant

        The type of tool being defined: function

        • FUNCTION("function")

  • Optional<Double> topP

    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

• class Assistant:

  Represents an assistant that can call the model and use tools.

  • String id

    The identifier, which can be referenced in API endpoints.

  • long createdAt

    The Unix timestamp (in seconds) for when the assistant was created.

  • Optional<String> description

    The description of the assistant. The maximum length is 512 characters.

  • Optional<String> instructions

    The system instructions that the assistant uses. The maximum length is 256,000 characters.

  • Optional<Metadata> metadata

    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.

  • String model

    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  • Optional<String> name

    The name of the assistant. The maximum length is 256 characters.

  • JsonValue; object_ "assistant"constant

    The object type, which is always assistant.

    • ASSISTANT("assistant")

  • List<AssistantTool> tools

    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.

    • class CodeInterpreterTool:

      • JsonValue; type "code_interpreter"constant

        The type of tool being defined: code_interpreter

        • CODE_INTERPRETER("code_interpreter")

    • class FileSearchTool:

      • JsonValue; type "file_search"constant

        The type of tool being defined: file_search

        • FILE_SEARCH("file_search")

      • Optional<FileSearch> fileSearch

        Overrides for the file search tool.

        • Optional<Long> maxNumResults

          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 for more information.

        • Optional<RankingOptions> rankingOptions

          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 for more information.

          • double scoreThreshold

            The score threshold for the file search. All values must be a floating point number between 0 and 1.

          • Optional<Ranker> ranker

            The ranker to use for the file search. If not specified will use the auto ranker.

            • AUTO("auto")

            • DEFAULT_2024_08_21("default_2024_08_21")

    • class FunctionTool:

      • FunctionDefinition function

        • String name

          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.

        • Optional<String> description

          A description of what the function does, used by the model to choose when and how to call the function.

        • Optional<FunctionParameters> parameters

          The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

          Omitting parameters defines a function with an empty parameter list.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "function"constant

        The type of tool being defined: function

        • FUNCTION("function")

  • Optional<AssistantResponseFormatOption> responseFormat

    Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

    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.

    • JsonValue;

      • AUTO("auto")

    • class ResponseFormatText:

      Default response format. Used to generate text responses.

      • JsonValue; type "text"constant

        The type of response format being defined. Always text.

        • TEXT("text")

    • class ResponseFormatJsonObject:

      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.

      • JsonValue; type "json_object"constant

        The type of response format being defined. Always json_object.

        • JSON_OBJECT("json_object")

    • class ResponseFormatJsonSchema:

      JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

      • JsonSchema jsonSchema

        Structured Outputs configuration options, including a JSON Schema.

        • String name

          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.

        • Optional<String> description

          A description of what the response format is for, used by the model to determine how to respond in the format.

        • Optional<Schema> schema

          The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "json_schema"constant

        The type of response format being defined. Always json_schema.

        • JSON_SCHEMA("json_schema")

  • Optional<Double> temperature

    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.

  • Optional<ToolResources> toolResources

    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.

    • Optional<CodeInterpreter> codeInterpreter

      • Optional<List<String>> fileIds

        A list of file IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool.

    • Optional<FileSearch> fileSearch

      • Optional<List<String>> vectorStoreIds

        The ID of the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

  • Optional<Double> topP

    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

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.assistants.Assistant;
import com.openai.models.beta.assistants.AssistantUpdateParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        Assistant assistant = client.beta().assistants().update("assistant_id");
    }
}

Response

{
  "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

AssistantDeleted beta().assistants().delete(AssistantDeleteParamsparams = AssistantDeleteParams.none(), RequestOptionsrequestOptions = RequestOptions.none())

delete /assistants/{assistant_id}

Delete an assistant.

Parameters

• AssistantDeleteParams params

  • Optional<String> assistantId

Returns

• class AssistantDeleted:

  • String id

  • boolean deleted

  • JsonValue; object_ "assistant.deleted"constant

    • ASSISTANT_DELETED("assistant.deleted")

Example

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.beta.assistants.AssistantDeleteParams;
import com.openai.models.beta.assistants.AssistantDeleted;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        AssistantDeleted assistantDeleted = client.beta().assistants().delete("assistant_id");
    }
}

Response

{
  "id": "id",
  "deleted": true,
  "object": "assistant.deleted"
}

Domain Types

Assistant

• class Assistant:

  Represents an assistant that can call the model and use tools.

  • String id

    The identifier, which can be referenced in API endpoints.

  • long createdAt

    The Unix timestamp (in seconds) for when the assistant was created.

  • Optional<String> description

    The description of the assistant. The maximum length is 512 characters.

  • Optional<String> instructions

    The system instructions that the assistant uses. The maximum length is 256,000 characters.

  • Optional<Metadata> metadata

    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.

  • String model

    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  • Optional<String> name

    The name of the assistant. The maximum length is 256 characters.

  • JsonValue; object_ "assistant"constant

    The object type, which is always assistant.

    • ASSISTANT("assistant")

  • List<AssistantTool> tools

    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.

    • class CodeInterpreterTool:

      • JsonValue; type "code_interpreter"constant

        The type of tool being defined: code_interpreter

        • CODE_INTERPRETER("code_interpreter")

    • class FileSearchTool:

      • JsonValue; type "file_search"constant

        The type of tool being defined: file_search

        • FILE_SEARCH("file_search")

      • Optional<FileSearch> fileSearch

        Overrides for the file search tool.

        • Optional<Long> maxNumResults

          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 for more information.

        • Optional<RankingOptions> rankingOptions

          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 for more information.

          • double scoreThreshold

            The score threshold for the file search. All values must be a floating point number between 0 and 1.

          • Optional<Ranker> ranker

            The ranker to use for the file search. If not specified will use the auto ranker.

            • AUTO("auto")

            • DEFAULT_2024_08_21("default_2024_08_21")

    • class FunctionTool:

      • FunctionDefinition function

        • String name

          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.

        • Optional<String> description

          A description of what the function does, used by the model to choose when and how to call the function.

        • Optional<FunctionParameters> parameters

          The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

          Omitting parameters defines a function with an empty parameter list.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "function"constant

        The type of tool being defined: function

        • FUNCTION("function")

  • Optional<AssistantResponseFormatOption> responseFormat

    Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

    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.

    • JsonValue;

      • AUTO("auto")

    • class ResponseFormatText:

      Default response format. Used to generate text responses.

      • JsonValue; type "text"constant

        The type of response format being defined. Always text.

        • TEXT("text")

    • class ResponseFormatJsonObject:

      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.

      • JsonValue; type "json_object"constant

        The type of response format being defined. Always json_object.

        • JSON_OBJECT("json_object")

    • class ResponseFormatJsonSchema:

      JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

      • JsonSchema jsonSchema

        Structured Outputs configuration options, including a JSON Schema.

        • String name

          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.

        • Optional<String> description

          A description of what the response format is for, used by the model to determine how to respond in the format.

        • Optional<Schema> schema

          The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

        • Optional<Boolean> strict

          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.

      • JsonValue; type "json_schema"constant

        The type of response format being defined. Always json_schema.

        • JSON_SCHEMA("json_schema")

  • Optional<Double> temperature

    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.

  • Optional<ToolResources> toolResources

    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.

    • Optional<CodeInterpreter> codeInterpreter

      • Optional<List<String>> fileIds

        A list of file IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool.

    • Optional<FileSearch> fileSearch

      • Optional<List<String>> vectorStoreIds

        The ID of the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

  • Optional<Double> topP

    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

• class AssistantDeleted:

  • String id

  • boolean deleted

  • JsonValue; object_ "assistant.deleted"constant

    • ASSISTANT_DELETED("assistant.deleted")

Assistant Stream Event

• class AssistantStreamEvent: A class that can be one of several variants.union

  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 to learn how to integrate the Assistants API with streaming.

  • ThreadCreated

    • Thread data

      Represents a thread that contains messages.

      • String id

        The identifier, which can be referenced in API endpoints.

      • long createdAt

        The Unix timestamp (in seconds) for when the thread was created.

      • Optional<Metadata> metadata

        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.

      • JsonValue; object_ "thread"constant

        The object type, which is always thread.

        • THREAD("thread")

      • Optional<ToolResources> toolResources

        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.

        • Optional<CodeInterpreter> codeInterpreter

          • Optional<List<String>> fileIds

            A list of file IDs made available to the code_interpreter tool. There can be a maximum of 20 files associated with the tool.

        • Optional<FileSearch> fileSearch

          • Optional<List<String>> vectorStoreIds

            The vector store attached to this thread. There can be a maximum of 1 vector store attached to the thread.

    • JsonValue; event "thread.created"constant

      • THREAD_CREATED("thread.created")

    • Optional<Boolean> enabled

      Whether to enable input audio transcription.

  • ThreadRunCreated

    • Run data

      Represents an execution run on a thread.

      • String id

        The identifier, which can be referenced in API endpoints.

      • String assistantId

        The ID of the assistant used for execution of this run.

      • Optional<Long> cancelledAt

        The Unix timestamp (in seconds) for when the run was cancelled.

      • Optional<Long> completedAt

        The Unix timestamp (in seconds) for when the run was completed.

      • long createdAt

        The Unix timestamp (in seconds) for when the run was created.

      • Optional<Long> expiresAt

        The Unix timestamp (in seconds) for when the run will expire.

      • Optional<Long> failedAt

        The Unix timestamp (in seconds) for when the run failed.

      • Optional<IncompleteDetails> incompleteDetails

        Details on why the run is incomplete. Will be null if the run is not incomplete.

        • Optional<Reason> reason

          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_completion_tokens")

          • MAX_PROMPT_TOKENS("max_prompt_tokens")

      • String instructions

        The instructions that the assistant used for this run.

      • Optional<LastError> lastError

        The last error associated with this run. Will be null if there are no errors.

        • Code code

          One of server_error, rate_limit_exceeded, or invalid_prompt.

          • SERVER_ERROR("server_error")

          • RATE_LIMIT_EXCEEDED("rate_limit_exceeded")

          • INVALID_PROMPT("invalid_prompt")

        • String message

          A human-readable description of the error.

      • Optional<Long> maxCompletionTokens

        The maximum number of completion tokens specified to have been used over the course of the run.

      • Optional<Long> maxPromptTokens

        The maximum number of prompt tokens specified to have been used over the course of the run.

      • Optional<Metadata> metadata

        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.

      • String model

        The model that the assistant used for this run.

      • JsonValue; object_ "thread.run"constant

        The object type, which is always thread.run.

        • THREAD_RUN("thread.run")

      • boolean parallelToolCalls

        Whether to enable parallel function calling during tool use.

      • Optional<RequiredAction> requiredAction

        Details on the action required to continue the run. Will be null if no action is required.

        • SubmitToolOutputs submitToolOutputs

          Details on the tool outputs needed for this run to continue.

          • List<RequiredActionFunctionToolCall> toolCalls

            A list of the relevant tool calls.

            • String id

              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 endpoint.

            • Function function

              The function definition.

              • String arguments

                The arguments that the model expects you to pass to the function.

              • String name

                The name of the function.

            • JsonValue; type "function"constant

              The type of tool call the output is required for. For now, this is always function.

              • FUNCTION("function")

        • JsonValue; type "submit_tool_outputs"constant

          For now, this is always submit_tool_outputs.

          • SUBMIT_TOOL_OUTPUTS("submit_tool_outputs")

      • Optional<AssistantResponseFormatOption> responseFormat

        Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

        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.

        • JsonValue;

          • AUTO("auto")

        • class ResponseFormatText:

          Default response format. Used to generate text responses.

          • JsonValue; type "text"constant

            The type of response format being defined. Always text.

            • TEXT("text")

        • class ResponseFormatJsonObject:

          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.

          • JsonValue; type "json_object"constant

            The type of response format being defined. Always json_object.

            • JSON_OBJECT("json_object")

        • class ResponseFormatJsonSchema:

          JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

          • JsonSchema jsonSchema

            Structured Outputs configuration options, including a JSON Schema.

            • String name

              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.

            • Optional<String> description

              A description of what the response format is for, used by the model to determine how to respond in the format.

            • Optional<Schema> schema

              The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

            • Optional<Boolean> strict

              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.

          • JsonValue; type "json_schema"constant

            The type of response format being defined. Always json_schema.

            • JSON_SCHEMA("json_schema")

      • Optional<Long> startedAt

        The Unix timestamp (in seconds) for when the run was started.

      • RunStatus status

        The status of the run, which can be either queued, in_progress, requires_action, cancelling, cancelled, failed, completed, incomplete, or expired.

        • QUEUED("queued")

        • IN_PROGRESS("in_progress")

        • REQUIRES_ACTION("requires_action")

        • CANCELLING("cancelling")

        • CANCELLED("cancelled")

        • FAILED("failed")

        • COMPLETED("completed")

        • INCOMPLETE("incomplete")

        • EXPIRED("expired")

      • String threadId

        The ID of the thread that was executed on as a part of this run.

      • Optional<AssistantToolChoiceOption> toolChoice

        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("none")

          • AUTO("auto")

          • REQUIRED("required")

        • class AssistantToolChoice:

          Specifies a tool the model should use. Use to force the model to call a specific tool.

          • Type type

            The type of the tool. If type is function, the function name must be set

            • FUNCTION("function")

            • CODE_INTERPRETER("code_interpreter")

            • FILE_SEARCH("file_search")

          • Optional<AssistantToolChoiceFunction> function

            • String name

              The name of the function to call.

      • List<AssistantTool> tools

        The list of tools that the assistant used for this run.

        • class CodeInterpreterTool:

          • JsonValue; type "code_interpreter"constant

            The type of tool being defined: code_interpreter

            • CODE_INTERPRETER("code_interpreter")

        • class FileSearchTool:

          • JsonValue; type "file_search"constant

            The type of tool being defined: file_search

            • FILE_SEARCH("file_search")

          • Optional<FileSearch> fileSearch

            Overrides for the file search tool.

            • Optional<Long> maxNumResults

              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 for more information.

            • Optional<RankingOptions> rankingOptions

              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 for more information.

              • double scoreThreshold

                The score threshold for the file search. All values must be a floating point number between 0 and 1.

              • Optional<Ranker> ranker

                The ranker to use for the file search. If not specified will use the auto ranker.

                • AUTO("auto")

                • DEFAULT_2024_08_21("default_2024_08_21")

        • class FunctionTool:

          • FunctionDefinition function

            • String name

              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.

            • Optional<String> description

              A description of what the function does, used by the model to choose when and how to call the function.

            • Optional<FunctionParameters> parameters

              The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

              Omitting parameters defines a function with an empty parameter list.

            • Optional<Boolean> strict

              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.

          • JsonValue; type "function"constant

            The type of tool being defined: function

            • FUNCTION("function")

      • Optional<TruncationStrategy> truncationStrategy

        Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run.

        • Type type

          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("auto")

          • LAST_MESSAGES("last_messages")

        • Optional<Long> lastMessages

          The number of most recent messages from the thread when constructing the context for the run.

      • Optional<Usage> usage

        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.).

        • long completionTokens

          Number of completion tokens used over the course of the run.

        • long promptTokens

          Number of prompt tokens used over the course of the run.

        • long totalTokens

          Total number of tokens used (prompt + completion).

      • Optional<Double> temperature

        The sampling temperature used for this run. If not set, defaults to 1.

      • Optional<Double> topP

        The nucleus sampling value used for this run. If not set, defaults to 1.

    • JsonValue; event "thread.run.created"constant

      • THREAD_RUN_CREATED("thread.run.created")

  • ThreadRunQueued

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.queued"constant

      • THREAD_RUN_QUEUED("thread.run.queued")

  • ThreadRunInProgress

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.in_progress"constant

      • THREAD_RUN_IN_PROGRESS("thread.run.in_progress")

  • ThreadRunRequiresAction

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.requires_action"constant

      • THREAD_RUN_REQUIRES_ACTION("thread.run.requires_action")

  • ThreadRunCompleted

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.completed"constant

      • THREAD_RUN_COMPLETED("thread.run.completed")

  • ThreadRunIncomplete

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.incomplete"constant

      • THREAD_RUN_INCOMPLETE("thread.run.incomplete")

  • ThreadRunFailed

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.failed"constant

      • THREAD_RUN_FAILED("thread.run.failed")

  • ThreadRunCancelling

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.cancelling"constant

      • THREAD_RUN_CANCELLING("thread.run.cancelling")

  • ThreadRunCancelled

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.cancelled"constant

      • THREAD_RUN_CANCELLED("thread.run.cancelled")

  • ThreadRunExpired

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.expired"constant

      • THREAD_RUN_EXPIRED("thread.run.expired")

  • ThreadRunStepCreated

    • RunStep data

      Represents a step in execution of a run.

      • String id

        The identifier of the run step, which can be referenced in API endpoints.

      • String assistantId

        The ID of the assistant associated with the run step.

      • Optional<Long> cancelledAt

        The Unix timestamp (in seconds) for when the run step was cancelled.

      • Optional<Long> completedAt

        The Unix timestamp (in seconds) for when the run step completed.

      • long createdAt

        The Unix timestamp (in seconds) for when the run step was created.

      • Optional<Long> expiredAt

        The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired.

      • Optional<Long> failedAt

        The Unix timestamp (in seconds) for when the run step failed.

      • Optional<LastError> lastError

        The last error associated with this run step. Will be null if there are no errors.

        • Code code

          One of server_error or rate_limit_exceeded.

          • SERVER_ERROR("server_error")

          • RATE_LIMIT_EXCEEDED("rate_limit_exceeded")

        • String message

          A human-readable description of the error.

      • Optional<Metadata> metadata

        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.

      • JsonValue; object_ "thread.run.step"constant

        The object type, which is always thread.run.step.

        • THREAD_RUN_STEP("thread.run.step")

      • String runId

        The ID of the run that this run step is a part of.

      • Status status

        The status of the run step, which can be either in_progress, cancelled, failed, completed, or expired.

        • IN_PROGRESS("in_progress")

        • CANCELLED("cancelled")

        • FAILED("failed")

        • COMPLETED("completed")

        • EXPIRED("expired")

      • StepDetails stepDetails

        The details of the run step.

        • class MessageCreationStepDetails:

          Details of the message creation by the run step.

          • MessageCreation messageCreation

            • String messageId

              The ID of the message that was created by this run step.

          • JsonValue; type "message_creation"constant

            Always message_creation.

            • MESSAGE_CREATION("message_creation")

        • class ToolCallsStepDetails:

          Details of the tool call.

          • List<ToolCall> toolCalls

            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.

            • class CodeInterpreterToolCall:

              Details of the Code Interpreter tool call the run step was involved in.

              • String id

                The ID of the tool call.

              • CodeInterpreter codeInterpreter

                The Code Interpreter tool call definition.

                • String input

                  The input to the Code Interpreter tool call.

                • List<Output> outputs

                  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.

                  • class LogsOutput:

                    Text output from the Code Interpreter tool call as part of a run step.

                    • String logs

                      The text output from the Code Interpreter tool call.

                    • JsonValue; type "logs"constant

                      Always logs.

                      • LOGS("logs")

                  • class ImageOutput:

                    • Image image

                      • String fileId

                        The file ID of the image.

                    • JsonValue; type "image"constant

                      Always image.

                      • IMAGE("image")

              • JsonValue; type "code_interpreter"constant

                The type of tool call. This is always going to be code_interpreter for this type of tool call.

                • CODE_INTERPRETER("code_interpreter")

            • class FileSearchToolCall:

              • String id

                The ID of the tool call object.

              • FileSearch fileSearch

                For now, this is always going to be an empty object.

                • Optional<RankingOptions> rankingOptions

                  The ranking options for the file search.

                  • Ranker ranker

                    The ranker to use for the file search. If not specified will use the auto ranker.

                    • AUTO("auto")

                    • DEFAULT_2024_08_21("default_2024_08_21")

                  • double scoreThreshold

                    The score threshold for the file search. All values must be a floating point number between 0 and 1.

                • Optional<List<Result>> results

                  The results of the file search.

                  • String fileId

                    The ID of the file that result was found in.

                  • String fileName

                    The name of the file that result was found in.

                  • double score

                    The score of the result. All values must be a floating point number between 0 and 1.

                  • Optional<List<Content>> content

                    The content of the result that was found. The content is only included if requested via the include query parameter.

                    • Optional<String> text

                      The text content of the file.

                    • Optional<Type> type

                      The type of the content.

                      • TEXT("text")

              • JsonValue; type "file_search"constant

                The type of tool call. This is always going to be file_search for this type of tool call.

                • FILE_SEARCH("file_search")

            • class FunctionToolCall:

              • String id

                The ID of the tool call object.

              • Function function

                The definition of the function that was called.

                • String arguments

                  The arguments passed to the function.

                • String name

                  The name of the function.

                • Optional<String> output

                  The output of the function. This will be null if the outputs have not been submitted yet.

              • JsonValue; type "function"constant

                The type of tool call. This is always going to be function for this type of tool call.

                • FUNCTION("function")

          • JsonValue; type "tool_calls"constant

            Always tool_calls.

            • TOOL_CALLS("tool_calls")

      • String threadId

        The ID of the thread that was run.

      • Type type

        The type of run step, which can be either message_creation or tool_calls.

        • MESSAGE_CREATION("message_creation")

        • TOOL_CALLS("tool_calls")

      • Optional<Usage> usage

        Usage statistics related to the run step. This value will be null while the run step's status is in_progress.

        • long completionTokens

          Number of completion tokens used over the course of the run step.

        • long promptTokens

          Number of prompt tokens used over the course of the run step.

        • long totalTokens

          Total number of tokens used (prompt + completion).

    • JsonValue; event "thread.run.step.created"constant

      • THREAD_RUN_STEP_CREATED("thread.run.step.created")

  • ThreadRunStepInProgress

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.in_progress"constant

      • THREAD_RUN_STEP_IN_PROGRESS("thread.run.step.in_progress")

  • ThreadRunStepDelta

    • RunStepDeltaEvent data

      Represents a run step delta i.e. any changed fields on a run step during streaming.

      • String id

        The identifier of the run step, which can be referenced in API endpoints.

      • RunStepDelta delta

        The delta containing the fields that have changed on the run step.

        • Optional<StepDetails> stepDetails

          The details of the run step.

          • class RunStepDeltaMessageDelta:

            Details of the message creation by the run step.

            • JsonValue; type "message_creation"constant

              Always message_creation.

              • MESSAGE_CREATION("message_creation")

            • Optional<MessageCreation> messageCreation

              • Optional<String> messageId

                The ID of the message that was created by this run step.

          • class ToolCallDeltaObject:

            Details of the tool call.

            • JsonValue; type "tool_calls"constant

              Always tool_calls.

              • TOOL_CALLS("tool_calls")

            • Optional<List<ToolCallDelta>> toolCalls

              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.

              • class CodeInterpreterToolCallDelta:

                Details of the Code Interpreter tool call the run step was involved in.

                • long index

                  The index of the tool call in the tool calls array.

                • JsonValue; type "code_interpreter"constant

                  The type of tool call. This is always going to be code_interpreter for this type of tool call.

                  • CODE_INTERPRETER("code_interpreter")

                • Optional<String> id

                  The ID of the tool call.

                • Optional<CodeInterpreter> codeInterpreter

                  The Code Interpreter tool call definition.

                  • Optional<String> input

                    The input to the Code Interpreter tool call.

                  • Optional<List<Output>> outputs

                    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.

                    • class CodeInterpreterLogs:

                      Text output from the Code Interpreter tool call as part of a run step.

                      • long index

                        The index of the output in the outputs array.

                      • JsonValue; type "logs"constant

                        Always logs.

                        • LOGS("logs")

                      • Optional<String> logs

                        The text output from the Code Interpreter tool call.

                    • class CodeInterpreterOutputImage:

                      • long index

                        The index of the output in the outputs array.

                      • JsonValue; type "image"constant

                        Always image.

                        • IMAGE("image")

                      • Optional<Image> image

                        • Optional<String> fileId

                          The file ID of the image.

              • class FileSearchToolCallDelta:

                • JsonValue fileSearch

                  For now, this is always going to be an empty object.

                • long index

                  The index of the tool call in the tool calls array.

                • JsonValue; type "file_search"constant

                  The type of tool call. This is always going to be file_search for this type of tool call.

                  • FILE_SEARCH("file_search")

                • Optional<String> id

                  The ID of the tool call object.

              • class FunctionToolCallDelta:

                • long index

                  The index of the tool call in the tool calls array.

                • JsonValue; type "function"constant

                  The type of tool call. This is always going to be function for this type of tool call.

                  • FUNCTION("function")

                • Optional<String> id

                  The ID of the tool call object.

                • Optional<Function> function

                  The definition of the function that was called.

                  • Optional<String> arguments

                    The arguments passed to the function.

                  • Optional<String> name

                    The name of the function.

                  • Optional<String> output

                    The output of the function. This will be null if the outputs have not been submitted yet.

      • JsonValue; object_ "thread.run.step.delta"constant

        The object type, which is always thread.run.step.delta.

        • THREAD_RUN_STEP_DELTA("thread.run.step.delta")

    • JsonValue; event "thread.run.step.delta"constant

      • THREAD_RUN_STEP_DELTA("thread.run.step.delta")

  • ThreadRunStepCompleted

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.completed"constant

      • THREAD_RUN_STEP_COMPLETED("thread.run.step.completed")

  • ThreadRunStepFailed

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.failed"constant

      • THREAD_RUN_STEP_FAILED("thread.run.step.failed")

  • ThreadRunStepCancelled

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.cancelled"constant

      • THREAD_RUN_STEP_CANCELLED("thread.run.step.cancelled")

  • ThreadRunStepExpired

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.expired"constant

      • THREAD_RUN_STEP_EXPIRED("thread.run.step.expired")

  • ThreadMessageCreated

    • Message data

      Represents a message within a thread.

      • String id

        The identifier, which can be referenced in API endpoints.

      • Optional<String> assistantId

        If applicable, the ID of the assistant that authored this message.

      • Optional<List<Attachment>> attachments

        A list of files attached to the message, and the tools they were added to.

        • Optional<String> fileId

          The ID of the file to attach to the message.

        • Optional<List<Tool>> tools

          The tools to add this file to.

          • class CodeInterpreterTool:

          • JsonValue;

            • JsonValue; type "file_search"constant

              The type of tool being defined: file_search

              • FILE_SEARCH("file_search")

      • Optional<Long> completedAt

        The Unix timestamp (in seconds) for when the message was completed.

      • List<MessageContent> content

        The content of the message in array of text and/or images.

        • class ImageFileContentBlock:

          References an image File in the content of a message.

          • ImageFile imageFile

            • String fileId

              The File ID of the image in the message content. Set purpose="vision" when uploading the File if you need to later display the file content.

            • Optional<Detail> detail

              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("auto")

              • LOW("low")

              • HIGH("high")

          • JsonValue; type "image_file"constant

            Always image_file.

            • IMAGE_FILE("image_file")

        • class ImageUrlContentBlock:

          References an image URL in the content of a message.

          • ImageUrl imageUrl

            • String url

              The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp.

            • Optional<Detail> detail

              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("auto")

              • LOW("low")

              • HIGH("high")

          • JsonValue; type "image_url"constant

            The type of the content part.

            • IMAGE_URL("image_url")

        • class TextContentBlock:

          The text content that is part of a message.

          • Text text

            • List<Annotation> annotations

              • class FileCitationAnnotation:

                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.

                • long endIndex

                • FileCitation fileCitation

                  • String fileId

                    The ID of the specific File the citation is from.

                • long startIndex

                • String text

                  The text in the message content that needs to be replaced.

                • JsonValue; type "file_citation"constant

                  Always file_citation.

                  • FILE_CITATION("file_citation")

              • class FilePathAnnotation:

                A URL for the file that's generated when the assistant used the code_interpreter tool to generate a file.

                • long endIndex

                • FilePath filePath

                  • String fileId

                    The ID of the file that was generated.

                • long startIndex

                • String text

                  The text in the message content that needs to be replaced.

                • JsonValue; type "file_path"constant

                  Always file_path.

                  • FILE_PATH("file_path")

            • String value

              The data that makes up the text.

          • JsonValue; type "text"constant

            Always text.

            • TEXT("text")

        • class RefusalContentBlock:

          The refusal content generated by the assistant.

          • String refusal

          • JsonValue; type "refusal"constant

            Always refusal.

            • REFUSAL("refusal")

      • long createdAt

        The Unix timestamp (in seconds) for when the message was created.

      • Optional<Long> incompleteAt

        The Unix timestamp (in seconds) for when the message was marked as incomplete.

      • Optional<IncompleteDetails> incompleteDetails

        On an incomplete message, details about why the message is incomplete.

        • Reason reason

          The reason the message is incomplete.

          • CONTENT_FILTER("content_filter")

          • MAX_TOKENS("max_tokens")

          • RUN_CANCELLED("run_cancelled")

          • RUN_EXPIRED("run_expired")

          • RUN_FAILED("run_failed")

      • Optional<Metadata> metadata

        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.

      • JsonValue; object_ "thread.message"constant

        The object type, which is always thread.message.

        • THREAD_MESSAGE("thread.message")

      • Role role

        The entity that produced the message. One of user or assistant.

        • USER("user")

        • ASSISTANT("assistant")

      • Optional<String> runId

        The ID of the run associated with the creation of this message. Value is null when messages are created manually using the create message or create thread endpoints.

      • Status status

        The status of the message, which can be either in_progress, incomplete, or completed.

        • IN_PROGRESS("in_progress")

        • INCOMPLETE("incomplete")

        • COMPLETED("completed")

      • String threadId

        The thread ID that this message belongs to.

    • JsonValue; event "thread.message.created"constant

      • THREAD_MESSAGE_CREATED("thread.message.created")

  • ThreadMessageInProgress

    • Message data

      Represents a message within a thread.

    • JsonValue; event "thread.message.in_progress"constant

      • THREAD_MESSAGE_IN_PROGRESS("thread.message.in_progress")

  • ThreadMessageDelta

    • MessageDeltaEvent data

      Represents a message delta i.e. any changed fields on a message during streaming.

      • String id

        The identifier of the message, which can be referenced in API endpoints.

      • MessageDelta delta

        The delta containing the fields that have changed on the Message.

        • Optional<List<MessageContentDelta>> content

          The content of the message in array of text and/or images.

          • class ImageFileDeltaBlock:

            References an image File in the content of a message.

            • long index

              The index of the content part in the message.

            • JsonValue; type "image_file"constant

              Always image_file.

              • IMAGE_FILE("image_file")

            • Optional<ImageFileDelta> imageFile

              • Optional<Detail> detail

                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("auto")

                • LOW("low")

                • HIGH("high")

              • Optional<String> fileId

                The File ID of the image in the message content. Set purpose="vision" when uploading the File if you need to later display the file content.

          • class TextDeltaBlock:

            The text content that is part of a message.

            • long index

              The index of the content part in the message.

            • JsonValue; type "text"constant

              Always text.

              • TEXT("text")

            • Optional<TextDelta> text

              • Optional<List<AnnotationDelta>> annotations

                • class FileCitationDeltaAnnotation:

                  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.

                  • long index

                    The index of the annotation in the text content part.

                  • JsonValue; type "file_citation"constant

                    Always file_citation.

                    • FILE_CITATION("file_citation")

                  • Optional<Long> endIndex

                  • Optional<FileCitation> fileCitation

                    • Optional<String> fileId

                      The ID of the specific File the citation is from.

                    • Optional<String> quote

                      The specific quote in the file.

                  • Optional<Long> startIndex

                  • Optional<String> text

                    The text in the message content that needs to be replaced.

                • class FilePathDeltaAnnotation:

                  A URL for the file that's generated when the assistant used the code_interpreter tool to generate a file.

                  • long index

                    The index of the annotation in the text content part.

                  • JsonValue; type "file_path"constant

                    Always file_path.

                    • FILE_PATH("file_path")

                  • Optional<Long> endIndex

                  • Optional<FilePath> filePath

                    • Optional<String> fileId

                      The ID of the file that was generated.

                  • Optional<Long> startIndex

                  • Optional<String> text

                    The text in the message content that needs to be replaced.

              • Optional<String> value

                The data that makes up the text.

          • class RefusalDeltaBlock:

            The refusal content that is part of a message.

            • long index

              The index of the refusal part in the message.

            • JsonValue; type "refusal"constant

              Always refusal.

              • REFUSAL("refusal")

            • Optional<String> refusal

          • class ImageUrlDeltaBlock:

            References an image URL in the content of a message.

            • long index

              The index of the content part in the message.

            • JsonValue; type "image_url"constant

              Always image_url.

              • IMAGE_URL("image_url")

            • Optional<ImageUrlDelta> imageUrl

              • Optional<Detail> detail

                Specifies the detail level of the image. low uses fewer tokens, you can opt in to high resolution using high.

                • AUTO("auto")

                • LOW("low")

                • HIGH("high")

              • Optional<String> url

                The URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp.

        • Optional<Role> role

          The entity that produced the message. One of user or assistant.

          • USER("user")

          • ASSISTANT("assistant")

      • JsonValue; object_ "thread.message.delta"constant

        The object type, which is always thread.message.delta.

        • THREAD_MESSAGE_DELTA("thread.message.delta")

    • JsonValue; event "thread.message.delta"constant

      • THREAD_MESSAGE_DELTA("thread.message.delta")

  • ThreadMessageCompleted

    • Message data

      Represents a message within a thread.

    • JsonValue; event "thread.message.completed"constant

      • THREAD_MESSAGE_COMPLETED("thread.message.completed")

  • ThreadMessageIncomplete

    • Message data

      Represents a message within a thread.

    • JsonValue; event "thread.message.incomplete"constant

      • THREAD_MESSAGE_INCOMPLETE("thread.message.incomplete")

  • ErrorEvent

    • ErrorObject data

      • Optional<String> code

      • String message

      • Optional<String> param

      • String type

    • JsonValue; event "error"constant

      • ERROR("error")

Assistant Tool

• class AssistantTool: A class that can be one of several variants.union

  • class CodeInterpreterTool:

    • JsonValue; type "code_interpreter"constant

      The type of tool being defined: code_interpreter

      • CODE_INTERPRETER("code_interpreter")

  • class FileSearchTool:

    • JsonValue; type "file_search"constant

      The type of tool being defined: file_search

      • FILE_SEARCH("file_search")

    • Optional<FileSearch> fileSearch

      Overrides for the file search tool.

      • Optional<Long> maxNumResults

        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 for more information.

      • Optional<RankingOptions> rankingOptions

        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 for more information.

        • double scoreThreshold

          The score threshold for the file search. All values must be a floating point number between 0 and 1.

        • Optional<Ranker> ranker

          The ranker to use for the file search. If not specified will use the auto ranker.

          • AUTO("auto")

          • DEFAULT_2024_08_21("default_2024_08_21")

  • class FunctionTool:

    • FunctionDefinition function

      • String name

        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.

      • Optional<String> description

        A description of what the function does, used by the model to choose when and how to call the function.

      • Optional<FunctionParameters> parameters

        The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

        Omitting parameters defines a function with an empty parameter list.

      • Optional<Boolean> strict

        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.

    • JsonValue; type "function"constant

      The type of tool being defined: function

      • FUNCTION("function")

Code Interpreter Tool

• class CodeInterpreterTool:

  • JsonValue; type "code_interpreter"constant

    The type of tool being defined: code_interpreter

    • CODE_INTERPRETER("code_interpreter")

File Search Tool

• class FileSearchTool:

  • JsonValue; type "file_search"constant

    The type of tool being defined: file_search

    • FILE_SEARCH("file_search")

  • Optional<FileSearch> fileSearch

    Overrides for the file search tool.

    • Optional<Long> maxNumResults

      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 for more information.

    • Optional<RankingOptions> rankingOptions

      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 for more information.

      • double scoreThreshold

        The score threshold for the file search. All values must be a floating point number between 0 and 1.

      • Optional<Ranker> ranker

        The ranker to use for the file search. If not specified will use the auto ranker.

        • AUTO("auto")

        • DEFAULT_2024_08_21("default_2024_08_21")

Function Tool

• class FunctionTool:

  • FunctionDefinition function

    • String name

      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.

    • Optional<String> description

      A description of what the function does, used by the model to choose when and how to call the function.

    • Optional<FunctionParameters> parameters

      The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

      Omitting parameters defines a function with an empty parameter list.

    • Optional<Boolean> strict

      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.

  • JsonValue; type "function"constant

    The type of tool being defined: function

    • FUNCTION("function")

Message Stream Event

• class MessageStreamEvent: A class that can be one of several variants.union

  Occurs when a message is created.

  • ThreadMessageCreated

    • Message data

      Represents a message within a thread.

      • String id

        The identifier, which can be referenced in API endpoints.

      • Optional<String> assistantId

        If applicable, the ID of the assistant that authored this message.

      • Optional<List<Attachment>> attachments

        A list of files attached to the message, and the tools they were added to.

        • Optional<String> fileId

          The ID of the file to attach to the message.

        • Optional<List<Tool>> tools

          The tools to add this file to.

          • class CodeInterpreterTool:

            • JsonValue; type "code_interpreter"constant

              The type of tool being defined: code_interpreter

              • CODE_INTERPRETER("code_interpreter")

          • JsonValue;

            • JsonValue; type "file_search"constant

              The type of tool being defined: file_search

              • FILE_SEARCH("file_search")

      • Optional<Long> completedAt

        The Unix timestamp (in seconds) for when the message was completed.

      • List<MessageContent> content

        The content of the message in array of text and/or images.

        • class ImageFileContentBlock:

          References an image File in the content of a message.

          • ImageFile imageFile

            • String fileId

              The File ID of the image in the message content. Set purpose="vision" when uploading the File if you need to later display the file content.

            • Optional<Detail> detail

              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("auto")

              • LOW("low")

              • HIGH("high")

          • JsonValue; type "image_file"constant

            Always image_file.

            • IMAGE_FILE("image_file")

        • class ImageUrlContentBlock:

          References an image URL in the content of a message.

          • ImageUrl imageUrl

            • String url

              The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp.

            • Optional<Detail> detail

              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("auto")

              • LOW("low")

              • HIGH("high")

          • JsonValue; type "image_url"constant

            The type of the content part.

            • IMAGE_URL("image_url")

        • class TextContentBlock:

          The text content that is part of a message.

          • Text text

            • List<Annotation> annotations

              • class FileCitationAnnotation:

                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.

                • long endIndex

                • FileCitation fileCitation

                  • String fileId

                    The ID of the specific File the citation is from.

                • long startIndex

                • String text

                  The text in the message content that needs to be replaced.

                • JsonValue; type "file_citation"constant

                  Always file_citation.

                  • FILE_CITATION("file_citation")

              • class FilePathAnnotation:

                A URL for the file that's generated when the assistant used the code_interpreter tool to generate a file.

                • long endIndex

                • FilePath filePath

                  • String fileId

                    The ID of the file that was generated.

                • long startIndex

                • String text

                  The text in the message content that needs to be replaced.

                • JsonValue; type "file_path"constant

                  Always file_path.

                  • FILE_PATH("file_path")

            • String value

              The data that makes up the text.

          • JsonValue; type "text"constant

            Always text.

            • TEXT("text")

        • class RefusalContentBlock:

          The refusal content generated by the assistant.

          • String refusal

          • JsonValue; type "refusal"constant

            Always refusal.

            • REFUSAL("refusal")

      • long createdAt

        The Unix timestamp (in seconds) for when the message was created.

      • Optional<Long> incompleteAt

        The Unix timestamp (in seconds) for when the message was marked as incomplete.

      • Optional<IncompleteDetails> incompleteDetails

        On an incomplete message, details about why the message is incomplete.

        • Reason reason

          The reason the message is incomplete.

          • CONTENT_FILTER("content_filter")

          • MAX_TOKENS("max_tokens")

          • RUN_CANCELLED("run_cancelled")

          • RUN_EXPIRED("run_expired")

          • RUN_FAILED("run_failed")

      • Optional<Metadata> metadata

        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.

      • JsonValue; object_ "thread.message"constant

        The object type, which is always thread.message.

        • THREAD_MESSAGE("thread.message")

      • Role role

        The entity that produced the message. One of user or assistant.

        • USER("user")

        • ASSISTANT("assistant")

      • Optional<String> runId

        The ID of the run associated with the creation of this message. Value is null when messages are created manually using the create message or create thread endpoints.

      • Status status

        The status of the message, which can be either in_progress, incomplete, or completed.

        • IN_PROGRESS("in_progress")

        • INCOMPLETE("incomplete")

        • COMPLETED("completed")

      • String threadId

        The thread ID that this message belongs to.

    • JsonValue; event "thread.message.created"constant

      • THREAD_MESSAGE_CREATED("thread.message.created")

  • ThreadMessageInProgress

    • Message data

      Represents a message within a thread.

    • JsonValue; event "thread.message.in_progress"constant

      • THREAD_MESSAGE_IN_PROGRESS("thread.message.in_progress")

  • ThreadMessageDelta

    • MessageDeltaEvent data

      Represents a message delta i.e. any changed fields on a message during streaming.

      • String id

        The identifier of the message, which can be referenced in API endpoints.

      • MessageDelta delta

        The delta containing the fields that have changed on the Message.

        • Optional<List<MessageContentDelta>> content

          The content of the message in array of text and/or images.

          • class ImageFileDeltaBlock:

            References an image File in the content of a message.

            • long index

              The index of the content part in the message.

            • JsonValue; type "image_file"constant

              Always image_file.

              • IMAGE_FILE("image_file")

            • Optional<ImageFileDelta> imageFile

              • Optional<Detail> detail

                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("auto")

                • LOW("low")

                • HIGH("high")

              • Optional<String> fileId

                The File ID of the image in the message content. Set purpose="vision" when uploading the File if you need to later display the file content.

          • class TextDeltaBlock:

            The text content that is part of a message.

            • long index

              The index of the content part in the message.

            • JsonValue; type "text"constant

              Always text.

              • TEXT("text")

            • Optional<TextDelta> text

              • Optional<List<AnnotationDelta>> annotations

                • class FileCitationDeltaAnnotation:

                  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.

                  • long index

                    The index of the annotation in the text content part.

                  • JsonValue; type "file_citation"constant

                    Always file_citation.

                    • FILE_CITATION("file_citation")

                  • Optional<Long> endIndex

                  • Optional<FileCitation> fileCitation

                    • Optional<String> fileId

                      The ID of the specific File the citation is from.

                    • Optional<String> quote

                      The specific quote in the file.

                  • Optional<Long> startIndex

                  • Optional<String> text

                    The text in the message content that needs to be replaced.

                • class FilePathDeltaAnnotation:

                  A URL for the file that's generated when the assistant used the code_interpreter tool to generate a file.

                  • long index

                    The index of the annotation in the text content part.

                  • JsonValue; type "file_path"constant

                    Always file_path.

                    • FILE_PATH("file_path")

                  • Optional<Long> endIndex

                  • Optional<FilePath> filePath

                    • Optional<String> fileId

                      The ID of the file that was generated.

                  • Optional<Long> startIndex

                  • Optional<String> text

                    The text in the message content that needs to be replaced.

              • Optional<String> value

                The data that makes up the text.

          • class RefusalDeltaBlock:

            The refusal content that is part of a message.

            • long index

              The index of the refusal part in the message.

            • JsonValue; type "refusal"constant

              Always refusal.

              • REFUSAL("refusal")

            • Optional<String> refusal

          • class ImageUrlDeltaBlock:

            References an image URL in the content of a message.

            • long index

              The index of the content part in the message.

            • JsonValue; type "image_url"constant

              Always image_url.

              • IMAGE_URL("image_url")

            • Optional<ImageUrlDelta> imageUrl

              • Optional<Detail> detail

                Specifies the detail level of the image. low uses fewer tokens, you can opt in to high resolution using high.

                • AUTO("auto")

                • LOW("low")

                • HIGH("high")

              • Optional<String> url

                The URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp.

        • Optional<Role> role

          The entity that produced the message. One of user or assistant.

          • USER("user")

          • ASSISTANT("assistant")

      • JsonValue; object_ "thread.message.delta"constant

        The object type, which is always thread.message.delta.

        • THREAD_MESSAGE_DELTA("thread.message.delta")

    • JsonValue; event "thread.message.delta"constant

      • THREAD_MESSAGE_DELTA("thread.message.delta")

  • ThreadMessageCompleted

    • Message data

      Represents a message within a thread.

    • JsonValue; event "thread.message.completed"constant

      • THREAD_MESSAGE_COMPLETED("thread.message.completed")

  • ThreadMessageIncomplete

    • Message data

      Represents a message within a thread.

    • JsonValue; event "thread.message.incomplete"constant

      • THREAD_MESSAGE_INCOMPLETE("thread.message.incomplete")

Run Step Stream Event

• class RunStepStreamEvent: A class that can be one of several variants.union

  Occurs when a run step is created.

  • ThreadRunStepCreated

    • RunStep data

      Represents a step in execution of a run.

      • String id

        The identifier of the run step, which can be referenced in API endpoints.

      • String assistantId

        The ID of the assistant associated with the run step.

      • Optional<Long> cancelledAt

        The Unix timestamp (in seconds) for when the run step was cancelled.

      • Optional<Long> completedAt

        The Unix timestamp (in seconds) for when the run step completed.

      • long createdAt

        The Unix timestamp (in seconds) for when the run step was created.

      • Optional<Long> expiredAt

        The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired.

      • Optional<Long> failedAt

        The Unix timestamp (in seconds) for when the run step failed.

      • Optional<LastError> lastError

        The last error associated with this run step. Will be null if there are no errors.

        • Code code

          One of server_error or rate_limit_exceeded.

          • SERVER_ERROR("server_error")

          • RATE_LIMIT_EXCEEDED("rate_limit_exceeded")

        • String message

          A human-readable description of the error.

      • Optional<Metadata> metadata

        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.

      • JsonValue; object_ "thread.run.step"constant

        The object type, which is always thread.run.step.

        • THREAD_RUN_STEP("thread.run.step")

      • String runId

        The ID of the run that this run step is a part of.

      • Status status

        The status of the run step, which can be either in_progress, cancelled, failed, completed, or expired.

        • IN_PROGRESS("in_progress")

        • CANCELLED("cancelled")

        • FAILED("failed")

        • COMPLETED("completed")

        • EXPIRED("expired")

      • StepDetails stepDetails

        The details of the run step.

        • class MessageCreationStepDetails:

          Details of the message creation by the run step.

          • MessageCreation messageCreation

            • String messageId

              The ID of the message that was created by this run step.

          • JsonValue; type "message_creation"constant

            Always message_creation.

            • MESSAGE_CREATION("message_creation")

        • class ToolCallsStepDetails:

          Details of the tool call.

          • List<ToolCall> toolCalls

            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.

            • class CodeInterpreterToolCall:

              Details of the Code Interpreter tool call the run step was involved in.

              • String id

                The ID of the tool call.

              • CodeInterpreter codeInterpreter

                The Code Interpreter tool call definition.

                • String input

                  The input to the Code Interpreter tool call.

                • List<Output> outputs

                  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.

                  • class LogsOutput:

                    Text output from the Code Interpreter tool call as part of a run step.

                    • String logs

                      The text output from the Code Interpreter tool call.

                    • JsonValue; type "logs"constant

                      Always logs.

                      • LOGS("logs")

                  • class ImageOutput:

                    • Image image

                      • String fileId

                        The file ID of the image.

                    • JsonValue; type "image"constant

                      Always image.

                      • IMAGE("image")

              • JsonValue; type "code_interpreter"constant

                The type of tool call. This is always going to be code_interpreter for this type of tool call.

                • CODE_INTERPRETER("code_interpreter")

            • class FileSearchToolCall:

              • String id

                The ID of the tool call object.

              • FileSearch fileSearch

                For now, this is always going to be an empty object.

                • Optional<RankingOptions> rankingOptions

                  The ranking options for the file search.

                  • Ranker ranker

                    The ranker to use for the file search. If not specified will use the auto ranker.

                    • AUTO("auto")

                    • DEFAULT_2024_08_21("default_2024_08_21")

                  • double scoreThreshold

                    The score threshold for the file search. All values must be a floating point number between 0 and 1.

                • Optional<List<Result>> results

                  The results of the file search.

                  • String fileId

                    The ID of the file that result was found in.

                  • String fileName

                    The name of the file that result was found in.

                  • double score

                    The score of the result. All values must be a floating point number between 0 and 1.

                  • Optional<List<Content>> content

                    The content of the result that was found. The content is only included if requested via the include query parameter.

                    • Optional<String> text

                      The text content of the file.

                    • Optional<Type> type

                      The type of the content.

                      • TEXT("text")

              • JsonValue; type "file_search"constant

                The type of tool call. This is always going to be file_search for this type of tool call.

                • FILE_SEARCH("file_search")

            • class FunctionToolCall:

              • String id

                The ID of the tool call object.

              • Function function

                The definition of the function that was called.

                • String arguments

                  The arguments passed to the function.

                • String name

                  The name of the function.

                • Optional<String> output

                  The output of the function. This will be null if the outputs have not been submitted yet.

              • JsonValue; type "function"constant

                The type of tool call. This is always going to be function for this type of tool call.

                • FUNCTION("function")

          • JsonValue; type "tool_calls"constant

            Always tool_calls.

            • TOOL_CALLS("tool_calls")

      • String threadId

        The ID of the thread that was run.

      • Type type

        The type of run step, which can be either message_creation or tool_calls.

        • MESSAGE_CREATION("message_creation")

        • TOOL_CALLS("tool_calls")

      • Optional<Usage> usage

        Usage statistics related to the run step. This value will be null while the run step's status is in_progress.

        • long completionTokens

          Number of completion tokens used over the course of the run step.

        • long promptTokens

          Number of prompt tokens used over the course of the run step.

        • long totalTokens

          Total number of tokens used (prompt + completion).

    • JsonValue; event "thread.run.step.created"constant

      • THREAD_RUN_STEP_CREATED("thread.run.step.created")

  • ThreadRunStepInProgress

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.in_progress"constant

      • THREAD_RUN_STEP_IN_PROGRESS("thread.run.step.in_progress")

  • ThreadRunStepDelta

    • RunStepDeltaEvent data

      Represents a run step delta i.e. any changed fields on a run step during streaming.

      • String id

        The identifier of the run step, which can be referenced in API endpoints.

      • RunStepDelta delta

        The delta containing the fields that have changed on the run step.

        • Optional<StepDetails> stepDetails

          The details of the run step.

          • class RunStepDeltaMessageDelta:

            Details of the message creation by the run step.

            • JsonValue; type "message_creation"constant

              Always message_creation.

              • MESSAGE_CREATION("message_creation")

            • Optional<MessageCreation> messageCreation

              • Optional<String> messageId

                The ID of the message that was created by this run step.

          • class ToolCallDeltaObject:

            Details of the tool call.

            • JsonValue; type "tool_calls"constant

              Always tool_calls.

              • TOOL_CALLS("tool_calls")

            • Optional<List<ToolCallDelta>> toolCalls

              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.

              • class CodeInterpreterToolCallDelta:

                Details of the Code Interpreter tool call the run step was involved in.

                • long index

                  The index of the tool call in the tool calls array.

                • JsonValue; type "code_interpreter"constant

                  The type of tool call. This is always going to be code_interpreter for this type of tool call.

                  • CODE_INTERPRETER("code_interpreter")

                • Optional<String> id

                  The ID of the tool call.

                • Optional<CodeInterpreter> codeInterpreter

                  The Code Interpreter tool call definition.

                  • Optional<String> input

                    The input to the Code Interpreter tool call.

                  • Optional<List<Output>> outputs

                    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.

                    • class CodeInterpreterLogs:

                      Text output from the Code Interpreter tool call as part of a run step.

                      • long index

                        The index of the output in the outputs array.

                      • JsonValue; type "logs"constant

                        Always logs.

                        • LOGS("logs")

                      • Optional<String> logs

                        The text output from the Code Interpreter tool call.

                    • class CodeInterpreterOutputImage:

                      • long index

                        The index of the output in the outputs array.

                      • JsonValue; type "image"constant

                        Always image.

                        • IMAGE("image")

                      • Optional<Image> image

                        • Optional<String> fileId

                          The file ID of the image.

              • class FileSearchToolCallDelta:

                • JsonValue fileSearch

                  For now, this is always going to be an empty object.

                • long index

                  The index of the tool call in the tool calls array.

                • JsonValue; type "file_search"constant

                  The type of tool call. This is always going to be file_search for this type of tool call.

                  • FILE_SEARCH("file_search")

                • Optional<String> id

                  The ID of the tool call object.

              • class FunctionToolCallDelta:

                • long index

                  The index of the tool call in the tool calls array.

                • JsonValue; type "function"constant

                  The type of tool call. This is always going to be function for this type of tool call.

                  • FUNCTION("function")

                • Optional<String> id

                  The ID of the tool call object.

                • Optional<Function> function

                  The definition of the function that was called.

                  • Optional<String> arguments

                    The arguments passed to the function.

                  • Optional<String> name

                    The name of the function.

                  • Optional<String> output

                    The output of the function. This will be null if the outputs have not been submitted yet.

      • JsonValue; object_ "thread.run.step.delta"constant

        The object type, which is always thread.run.step.delta.

        • THREAD_RUN_STEP_DELTA("thread.run.step.delta")

    • JsonValue; event "thread.run.step.delta"constant

      • THREAD_RUN_STEP_DELTA("thread.run.step.delta")

  • ThreadRunStepCompleted

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.completed"constant

      • THREAD_RUN_STEP_COMPLETED("thread.run.step.completed")

  • ThreadRunStepFailed

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.failed"constant

      • THREAD_RUN_STEP_FAILED("thread.run.step.failed")

  • ThreadRunStepCancelled

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.cancelled"constant

      • THREAD_RUN_STEP_CANCELLED("thread.run.step.cancelled")

  • ThreadRunStepExpired

    • RunStep data

      Represents a step in execution of a run.

    • JsonValue; event "thread.run.step.expired"constant

      • THREAD_RUN_STEP_EXPIRED("thread.run.step.expired")

Run Stream Event

• class RunStreamEvent: A class that can be one of several variants.union

  Occurs when a new run is created.

  • ThreadRunCreated

    • Run data

      Represents an execution run on a thread.

      • String id

        The identifier, which can be referenced in API endpoints.

      • String assistantId

        The ID of the assistant used for execution of this run.

      • Optional<Long> cancelledAt

        The Unix timestamp (in seconds) for when the run was cancelled.

      • Optional<Long> completedAt

        The Unix timestamp (in seconds) for when the run was completed.

      • long createdAt

        The Unix timestamp (in seconds) for when the run was created.

      • Optional<Long> expiresAt

        The Unix timestamp (in seconds) for when the run will expire.

      • Optional<Long> failedAt

        The Unix timestamp (in seconds) for when the run failed.

      • Optional<IncompleteDetails> incompleteDetails

        Details on why the run is incomplete. Will be null if the run is not incomplete.

        • Optional<Reason> reason

          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_completion_tokens")

          • MAX_PROMPT_TOKENS("max_prompt_tokens")

      • String instructions

        The instructions that the assistant used for this run.

      • Optional<LastError> lastError

        The last error associated with this run. Will be null if there are no errors.

        • Code code

          One of server_error, rate_limit_exceeded, or invalid_prompt.

          • SERVER_ERROR("server_error")

          • RATE_LIMIT_EXCEEDED("rate_limit_exceeded")

          • INVALID_PROMPT("invalid_prompt")

        • String message

          A human-readable description of the error.

      • Optional<Long> maxCompletionTokens

        The maximum number of completion tokens specified to have been used over the course of the run.

      • Optional<Long> maxPromptTokens

        The maximum number of prompt tokens specified to have been used over the course of the run.

      • Optional<Metadata> metadata

        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.

      • String model

        The model that the assistant used for this run.

      • JsonValue; object_ "thread.run"constant

        The object type, which is always thread.run.

        • THREAD_RUN("thread.run")

      • boolean parallelToolCalls

        Whether to enable parallel function calling during tool use.

      • Optional<RequiredAction> requiredAction

        Details on the action required to continue the run. Will be null if no action is required.

        • SubmitToolOutputs submitToolOutputs

          Details on the tool outputs needed for this run to continue.

          • List<RequiredActionFunctionToolCall> toolCalls

            A list of the relevant tool calls.

            • String id

              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 endpoint.

            • Function function

              The function definition.

              • String arguments

                The arguments that the model expects you to pass to the function.

              • String name

                The name of the function.

            • JsonValue; type "function"constant

              The type of tool call the output is required for. For now, this is always function.

              • FUNCTION("function")

        • JsonValue; type "submit_tool_outputs"constant

          For now, this is always submit_tool_outputs.

          • SUBMIT_TOOL_OUTPUTS("submit_tool_outputs")

      • Optional<AssistantResponseFormatOption> responseFormat

        Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

        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.

        • JsonValue;

          • AUTO("auto")

        • class ResponseFormatText:

          Default response format. Used to generate text responses.

          • JsonValue; type "text"constant

            The type of response format being defined. Always text.

            • TEXT("text")

        • class ResponseFormatJsonObject:

          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.

          • JsonValue; type "json_object"constant

            The type of response format being defined. Always json_object.

            • JSON_OBJECT("json_object")

        • class ResponseFormatJsonSchema:

          JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

          • JsonSchema jsonSchema

            Structured Outputs configuration options, including a JSON Schema.

            • String name

              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.

            • Optional<String> description

              A description of what the response format is for, used by the model to determine how to respond in the format.

            • Optional<Schema> schema

              The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

            • Optional<Boolean> strict

              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.

          • JsonValue; type "json_schema"constant

            The type of response format being defined. Always json_schema.

            • JSON_SCHEMA("json_schema")

      • Optional<Long> startedAt

        The Unix timestamp (in seconds) for when the run was started.

      • RunStatus status

        The status of the run, which can be either queued, in_progress, requires_action, cancelling, cancelled, failed, completed, incomplete, or expired.

        • QUEUED("queued")

        • IN_PROGRESS("in_progress")

        • REQUIRES_ACTION("requires_action")

        • CANCELLING("cancelling")

        • CANCELLED("cancelled")

        • FAILED("failed")

        • COMPLETED("completed")

        • INCOMPLETE("incomplete")

        • EXPIRED("expired")

      • String threadId

        The ID of the thread that was executed on as a part of this run.

      • Optional<AssistantToolChoiceOption> toolChoice

        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("none")

          • AUTO("auto")

          • REQUIRED("required")

        • class AssistantToolChoice:

          Specifies a tool the model should use. Use to force the model to call a specific tool.

          • Type type

            The type of the tool. If type is function, the function name must be set

            • FUNCTION("function")

            • CODE_INTERPRETER("code_interpreter")

            • FILE_SEARCH("file_search")

          • Optional<AssistantToolChoiceFunction> function

            • String name

              The name of the function to call.

      • List<AssistantTool> tools

        The list of tools that the assistant used for this run.

        • class CodeInterpreterTool:

          • JsonValue; type "code_interpreter"constant

            The type of tool being defined: code_interpreter

            • CODE_INTERPRETER("code_interpreter")

        • class FileSearchTool:

          • JsonValue; type "file_search"constant

            The type of tool being defined: file_search

            • FILE_SEARCH("file_search")

          • Optional<FileSearch> fileSearch

            Overrides for the file search tool.

            • Optional<Long> maxNumResults

              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 for more information.

            • Optional<RankingOptions> rankingOptions

              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 for more information.

              • double scoreThreshold

                The score threshold for the file search. All values must be a floating point number between 0 and 1.

              • Optional<Ranker> ranker

                The ranker to use for the file search. If not specified will use the auto ranker.

                • AUTO("auto")

                • DEFAULT_2024_08_21("default_2024_08_21")

        • class FunctionTool:

          • FunctionDefinition function

            • String name

              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.

            • Optional<String> description

              A description of what the function does, used by the model to choose when and how to call the function.

            • Optional<FunctionParameters> parameters

              The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

              Omitting parameters defines a function with an empty parameter list.

            • Optional<Boolean> strict

              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.

          • JsonValue; type "function"constant

            The type of tool being defined: function

            • FUNCTION("function")

      • Optional<TruncationStrategy> truncationStrategy

        Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run.

        • Type type

          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("auto")

          • LAST_MESSAGES("last_messages")

        • Optional<Long> lastMessages

          The number of most recent messages from the thread when constructing the context for the run.

      • Optional<Usage> usage

        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.).

        • long completionTokens

          Number of completion tokens used over the course of the run.

        • long promptTokens

          Number of prompt tokens used over the course of the run.

        • long totalTokens

          Total number of tokens used (prompt + completion).

      • Optional<Double> temperature

        The sampling temperature used for this run. If not set, defaults to 1.

      • Optional<Double> topP

        The nucleus sampling value used for this run. If not set, defaults to 1.

    • JsonValue; event "thread.run.created"constant

      • THREAD_RUN_CREATED("thread.run.created")

  • ThreadRunQueued

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.queued"constant

      • THREAD_RUN_QUEUED("thread.run.queued")

  • ThreadRunInProgress

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.in_progress"constant

      • THREAD_RUN_IN_PROGRESS("thread.run.in_progress")

  • ThreadRunRequiresAction

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.requires_action"constant

      • THREAD_RUN_REQUIRES_ACTION("thread.run.requires_action")

  • ThreadRunCompleted

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.completed"constant

      • THREAD_RUN_COMPLETED("thread.run.completed")

  • ThreadRunIncomplete

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.incomplete"constant

      • THREAD_RUN_INCOMPLETE("thread.run.incomplete")

  • ThreadRunFailed

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.failed"constant

      • THREAD_RUN_FAILED("thread.run.failed")

  • ThreadRunCancelling

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.cancelling"constant

      • THREAD_RUN_CANCELLING("thread.run.cancelling")

  • ThreadRunCancelled

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.cancelled"constant

      • THREAD_RUN_CANCELLED("thread.run.cancelled")

  • ThreadRunExpired

    • Run data

      Represents an execution run on a thread.

    • JsonValue; event "thread.run.expired"constant

      • THREAD_RUN_EXPIRED("thread.run.expired")

Thread Stream Event

• class ThreadStreamEvent:

  Occurs when a new thread is created.

  • Thread data

    Represents a thread that contains messages.

    • String id

      The identifier, which can be referenced in API endpoints.

    • long createdAt

      The Unix timestamp (in seconds) for when the thread was created.

    • Optional<Metadata> metadata

      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.

    • JsonValue; object_ "thread"constant

      The object type, which is always thread.

      • THREAD("thread")

    • Optional<ToolResources> toolResources

      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.

      • Optional<CodeInterpreter> codeInterpreter

        • Optional<List<String>> fileIds

          A list of file IDs made available to the code_interpreter tool. There can be a maximum of 20 files associated with the tool.

      • Optional<FileSearch> fileSearch

        • Optional<List<String>> vectorStoreIds

          The vector store attached to this thread. There can be a maximum of 1 vector store attached to the thread.

  • JsonValue; event "thread.created"constant

    • THREAD_CREATED("thread.created")

  • Optional<Boolean> enabled

    Whether to enable input audio transcription.