Module openai.assistants

ballerinax/openai.assistants Ballerina library

1.0.0

Overview

OpenAI, an AI research organization focused on creating friendly AI for humanity, offers the OpenAI API to access its powerful AI models for tasks like natural language processing and image generation.

The ballarinax/openai.Assistants connector allows developers to seamlessly integrate OpenAI's advanced language models into their applications by interacting with OpenAI REST API v1. This connector provides tools to build powerful OpenAI Assistants capable of performing a wide range of tasks, such as generating human-like text, managing conversations with persistent threads, and utilizing multiple tools in parallel. OpenAI has recently announced a variety of new features and improvements to the Assistants API, moving their Beta to a new API version, OpenAI-Beta: assistants=v2. The users can interact with both the API v1 and v2 by passing the respective API version header with the request.

Setup guide

To use the OpenAI Connector, you must have access to the OpenAI API through a OpenAI Platform account and a project under it. If you do not have a OpenAI Platform account, you can sign up for one here.

Create a OpenAI API Key

Open the OpenAI Platform Dashboard.
Navigate to Dashboard -> API keys
Click on the "Create new secret key" button
Fill the details and click on Create secret key
Store the API key securely to use in your application

Quickstart

To use the OpenAI Assistants connector in your Ballerina application, update the .bal file as follows:

Step 1: Import the module

Import the openai.assistants module.


import ballerinax/openai.assistants;

Step 2: Instantiate a new connector

Create a assistants:ConnectionConfig with the obtained access token and initialize the connector with it.


configurable string token = ?;

final assistants:Client openAIAssistant = check new ({
    auth: {
        token
    }
});

Setting HTTP Headers in Ballerina

Calls to the Assistants API require that you pass a beta HTTP header. In Ballerina, you can define the header as follows:


final map<string|string[]> headers = {
    "OpenAI-Beta": ["assistants=v2"]
};

Step 3: Invoke the connector operations

Now, utilize the available connector operations.


public function main() returns error? {

    // define the required tool
    assistants:AssistantToolsCode tool = {
        type: "code_interpreter"
    };

    // define the assistant request object
    assistants:CreateAssistantRequest request = {
        model: "gpt-3.5-turbo",
        name: "Math Tutor",
        description: "An Assistant for personal math tutoring",
        instructions: "You are a personal math tutor. Help the user with their math questions.",
        tools: [tool]
    };

    // call the `post assistants` resource to create an Assistant
    assistants:AssistantObject assistantResponse = check openAIAssistant->/assistants.post(request, headers);
}

Step 4: Run the Ballerina application


bal run

Examples

The OpenAI Assistants connector provides practical examples illustrating usage in various scenarios. Explore these examples, covering the following use cases:

Math tutor bot - Create an assistant to solve mathematical problems with step-by-step solutions and interactive guidance.
Weather assistant - Develop an assistant to provide weather information by leveraging function calls for temperature and rain probability.

Clients

openai.assistants: Client

Isolated

The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details.

Constructor

Gets invoked to initialize the connector.

init (ConnectionConfig config, string serviceUrl)

config ConnectionConfig - The configurations to be used when initializing the connector

serviceUrl string "https://api.openai.com/v1" - URL of the target service

delete assistants/[string assistant_id]

Isolated FunctionResource Function

function delete assistants/[string assistant_id](map<string|string[]> headers) returns DeleteAssistantResponse|error

Delete an assistant.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

DeleteAssistantResponse|error - OK

delete threads/[string thread_id]

Isolated FunctionResource Function

function delete threads/[string thread_id](map<string|string[]> headers) returns DeleteThreadResponse|error

Delete a thread.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

DeleteThreadResponse|error - OK

delete threads/[string thread_id]/messages/[string message_id]

Isolated FunctionResource Function

function delete threads/[string thread_id]/messages/[string message_id](map<string|string[]> headers) returns DeleteMessageResponse|error

Deletes a message.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

DeleteMessageResponse|error - OK

get assistants

Isolated FunctionResource Function

function get assistants(map<string|string[]> headers, *ListAssistantsQueries queries) returns ListAssistantsResponse|error

Returns a list of assistants.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

queries *ListAssistantsQueries - Queries to be sent with the request

Return Type

ListAssistantsResponse|error - OK

get assistants/[string assistant_id]

Isolated FunctionResource Function

function get assistants/[string assistant_id](map<string|string[]> headers) returns AssistantObject|error

Retrieves an assistant.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

AssistantObject|error - OK

get threads/[string thread_id]

Isolated FunctionResource Function

function get threads/[string thread_id](map<string|string[]> headers) returns ThreadObject|error

Retrieves a thread.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

ThreadObject|error - OK

get threads/[string thread_id]/messages

Isolated FunctionResource Function

function get threads/[string thread_id]/messages(map<string|string[]> headers, *ListMessagesQueries queries) returns ListMessagesResponse|error

Returns a list of messages for a given thread.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

queries *ListMessagesQueries - Queries to be sent with the request

Return Type

ListMessagesResponse|error - OK

get threads/[string thread_id]/messages/[string message_id]

Isolated FunctionResource Function

function get threads/[string thread_id]/messages/[string message_id](map<string|string[]> headers) returns MessageObject|error

Retrieve a message.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

MessageObject|error - OK

get threads/[string thread_id]/runs

Isolated FunctionResource Function

function get threads/[string thread_id]/runs(map<string|string[]> headers, *ListRunsQueries queries) returns ListRunsResponse|error

Returns a list of runs belonging to a thread.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

queries *ListRunsQueries - Queries to be sent with the request

Return Type

ListRunsResponse|error - OK

get threads/[string thread_id]/runs/[string run_id]

Isolated FunctionResource Function

function get threads/[string thread_id]/runs/[string run_id](map<string|string[]> headers) returns RunObject|error

Retrieves a run.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

RunObject|error - OK

get threads/[string thread_id]/runs/[string run_id]/steps

Isolated FunctionResource Function

function get threads/[string thread_id]/runs/[string run_id]/steps(map<string|string[]> headers, *ListRunStepsQueries queries) returns ListRunStepsResponse|error

Returns a list of run steps belonging to a run.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

queries *ListRunStepsQueries - Queries to be sent with the request

Return Type

ListRunStepsResponse|error - OK

get threads/[string thread_id]/runs/[string run_id]/steps/[string step_id]

Isolated FunctionResource Function

function get threads/[string thread_id]/runs/[string run_id]/steps/[string step_id](map<string|string[]> headers) returns RunStepObject|error

Retrieves a run step.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

RunStepObject|error - OK

post assistants

Isolated FunctionResource Function

function post assistants(CreateAssistantRequest payload, map<string|string[]> headers) returns AssistantObject|error

Create an assistant with a model and instructions.

Parameters

payload CreateAssistantRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

AssistantObject|error - OK

post assistants/[string assistant_id]

Isolated FunctionResource Function

function post assistants/[string assistant_id](ModifyAssistantRequest payload, map<string|string[]> headers) returns AssistantObject|error

Modifies an assistant.

Parameters

payload ModifyAssistantRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

AssistantObject|error - OK

post threads

Isolated FunctionResource Function

function post threads(CreateThreadRequest payload, map<string|string[]> headers) returns ThreadObject|error

Create a thread.

Parameters

payload CreateThreadRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

ThreadObject|error - OK

post threads/[string thread_id]

Isolated FunctionResource Function

function post threads/[string thread_id](ModifyThreadRequest payload, map<string|string[]> headers) returns ThreadObject|error

Modifies a thread.

Parameters

payload ModifyThreadRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

ThreadObject|error - OK

post threads/[string thread_id]/messages

Isolated FunctionResource Function

function post threads/[string thread_id]/messages(CreateMessageRequest payload, map<string|string[]> headers) returns MessageObject|error

Create a message.

Parameters

payload CreateMessageRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

MessageObject|error - OK

post threads/[string thread_id]/messages/[string message_id]

Isolated FunctionResource Function

function post threads/[string thread_id]/messages/[string message_id](ModifyMessageRequest payload, map<string|string[]> headers) returns MessageObject|error

Modifies a message.

Parameters

payload ModifyMessageRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

MessageObject|error - OK

post threads/[string thread_id]/runs

Isolated FunctionResource Function

function post threads/[string thread_id]/runs(CreateRunRequest payload, map<string|string[]> headers) returns RunObject|error

Create a run.

Parameters

payload CreateRunRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

RunObject|error - OK

post threads/[string thread_id]/runs/[string run_id]

Isolated FunctionResource Function

function post threads/[string thread_id]/runs/[string run_id](ModifyRunRequest payload, map<string|string[]> headers) returns RunObject|error

Modifies a run.

Parameters

payload ModifyRunRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

RunObject|error - OK

post threads/[string thread_id]/runs/[string run_id]/cancel

Isolated FunctionResource Function

function post threads/[string thread_id]/runs/[string run_id]/cancel(map<string|string[]> headers) returns RunObject|error

Cancels a run that is in_progress.

Parameters

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

RunObject|error - OK

post threads/[string thread_id]/runs/[string run_id]/submit_tool_outputs

Isolated FunctionResource Function

function post threads/[string thread_id]/runs/[string run_id]/submit_tool_outputs(SubmitToolOutputsRunRequest payload, map<string|string[]> headers) returns RunObject|error

When a run has the status: "requires_action" and required_action.type is submit_tool_outputs, this endpoint can be used to submit the outputs from the tool calls once they're all completed. All outputs must be submitted in a single request.

Parameters

payload SubmitToolOutputsRunRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

RunObject|error - OK

post threads/runs

Isolated FunctionResource Function

function post threads/runs(CreateThreadAndRunRequest payload, map<string|string[]> headers) returns RunObject|error

Create a thread and run it in one request.

Parameters

payload CreateThreadAndRunRequest -

headers map<string|string[]> (default {}) - Headers to be sent with the request

Return Type

RunObject|error - OK

Records

openai.assistants: AssistantObject

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

Fields

id string - The identifier, which can be referenced in API endpoints.

'object "assistant" - The object type, which is always assistant.

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

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

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

model string - 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.

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

tools (AssistantToolsCode|AssistantToolsFileSearch|AssistantToolsFunction)[] - 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.

tool_resources AssistantObject_tool_resources? -

metadata record {} - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

temperature decimal?(default 1) - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

top_p decimal?(default 1) - 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.

response_format AssistantsApiResponseFormatOption? -

openai.assistants: AssistantObject_tool_resources

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.

Fields

code_interpreter AssistantObject_tool_resources_code_interpreter? -

file_search AssistantObject_tool_resources_file_search? -

openai.assistants: AssistantObject_tool_resources_code_interpreter

Fields

file_ids string[](default []) - A list of file IDs made available to the code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. MISSING[]

openai.assistants: AssistantObject_tool_resources_file_search

Fields

vector_store_ids string[]? - The ID of the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

openai.assistants: AssistantsApiResponseFormat

An object describing the expected output of the model. If json_object only function type tools are allowed to be passed to the Run. If text the model can return text or any value needed.

Fields

'type "text"|"json_object" (default "text") - Must be one of text or json_object.

openai.assistants: AssistantsNamedToolChoice

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

Fields

'type "function"|"code_interpreter"|"file_search" - The type of the tool. If type is function, the function name must be set

'function ChatCompletionNamedToolChoice_function? -

openai.assistants: AssistantToolsCode

Fields

'type "code_interpreter" - The type of tool being defined: code_interpreter

openai.assistants: AssistantToolsFileSearch

Fields

'type "file_search" - The type of tool being defined: file_search

file_search AssistantToolsFileSearch_file_search? -

openai.assistants: AssistantToolsFileSearch_file_search

Overrides for the file search tool.

Fields

max_num_results int? - 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.

openai.assistants: AssistantToolsFileSearchTypeOnly

Fields

'type "file_search" - The type of tool being defined: file_search

openai.assistants: AssistantToolsFunction

Fields

'type "function" - The type of tool being defined: function

'function FunctionObject -

openai.assistants: ChatCompletionNamedToolChoice_function

Fields

name string - The name of the function to call.

openai.assistants: ClientHttp1Settings

Closed record

Provides settings related to HTTP/1.x protocol.

Fields

keepAlive KeepAlive(default http:KEEPALIVE_AUTO) - Specifies whether to reuse a connection for multiple requests

chunking Chunking(default http:CHUNKING_AUTO) - The chunking behaviour of the request

proxy ProxyConfig? - Proxy server related options

openai.assistants: ConnectionConfig

Closed record

Provides a set of configurations for controlling the behaviours when communicating with a remote HTTP endpoint.

Fields

auth BearerTokenConfig - Configurations related to client authentication

httpVersion HttpVersion(default http:HTTP_2_0) - The HTTP version understood by the client

http1Settings ClientHttp1Settings? - Configurations related to HTTP/1.x protocol

http2Settings ClientHttp2Settings? - Configurations related to HTTP/2 protocol

timeout decimal(default 60) - The maximum time to wait (in seconds) for a response before closing the connection

forwarded string(default "disable") - The choice of setting forwarded/x-forwarded header

poolConfig PoolConfiguration? - Configurations associated with request pooling

cache CacheConfig? - HTTP caching related configurations

compression Compression(default http:COMPRESSION_AUTO) - Specifies the way of handling compression (accept-encoding) header

circuitBreaker CircuitBreakerConfig? - Configurations associated with the behaviour of the Circuit Breaker

retryConfig RetryConfig? - Configurations associated with retrying

responseLimits ResponseLimitConfigs? - Configurations associated with inbound response size limits

secureSocket ClientSecureSocket? - SSL/TLS-related options

proxy ProxyConfig? - Proxy server related options

validation boolean(default true) - Enables the inbound payload validation functionality which provided by the constraint package. Enabled by default

openai.assistants: CreateAssistantRequest

Closed record

Fields

model string|"gpt-4o"|"gpt-4o-2024-05-13"|"gpt-4o-mini"|"gpt-4o-mini-2024-07-18"|"gpt-4-turbo"|"gpt-4-turbo-2024-04-09"|"gpt-4-0125-preview"|"gpt-4-turbo-preview"|"gpt-4-1106-preview"|"gpt-4-vision-preview"|"gpt-4"|"gpt-4-0314"|"gpt-4-0613"|"gpt-4-32k"|"gpt-4-32k-0314"|"gpt-4-32k-0613"|"gpt-3.5-turbo"|"gpt-3.5-turbo-16k"|"gpt-3.5-turbo-0613"|"gpt-3.5-turbo-1106"|"gpt-3.5-turbo-0125"|"gpt-3.5-turbo-16k-0613" - 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.

name string? - The name of the assistant. The maximum length is 256 characters.

description string? - The description of the assistant. The maximum length is 512 characters.

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

tools (AssistantToolsCode|AssistantToolsFileSearch|AssistantToolsFunction)[](default []) - 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.

tool_resources CreateAssistantRequest_tool_resources? -

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

temperature decimal?(default 1) - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

top_p decimal?(default 1) - 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.

response_format AssistantsApiResponseFormatOption? -

openai.assistants: CreateAssistantRequest_tool_resources

Fields

code_interpreter CreateAssistantRequest_tool_resources_code_interpreter? -

file_search CreateAssistantRequest_tool_resources_file_search? -

openai.assistants: CreateAssistantRequest_tool_resources_code_interpreter

Fields

file_ids string[](default []) - A list of file IDs made available to the code_interpreter tool. There can be a maximum of 20 files associated with the tool.

openai.assistants: CreateAssistantRequest_tool_resources_file_search

Fields

vector_store_ids string[]? - The vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

vector_stores CreateAssistantRequest_tool_resources_file_search_vector_stores[]? - 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.

openai.assistants: CreateAssistantRequest_tool_resources_file_search_vector_stores

Fields

file_ids string[]? - A list of file IDs to add to the vector store. There can be a maximum of 10000 files in a vector store.

chunking_strategy record {| 'type "auto" |}|record {| 'type "static" , static record {| max_chunk_size_tokens int, chunk_overlap_tokens int |} |}? - The chunking strategy used to chunk the file(s). If not set, will use the auto strategy.

metadata record {}? - Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: CreateMessageRequest

Closed record

Fields

role "user"|"assistant" - The role of the entity that is creating the message. Allowed values include:
- user: Indicates the message is sent by an actual user and should be used in most cases to represent user-generated messages.
- assistant: Indicates the message is generated by the assistant. Use this value to insert messages from the assistant into the conversation.

content string|(MessageContentImageFileObject|MessageContentImageUrlObject|MessageRequestContentTextObject)[] -

attachments MessageObject_attachments[]? - A list of files attached to the message, and the tools they should be added to.

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: CreateRunRequest

Closed record

Fields

assistant_id string - The ID of the assistant to use to execute this run.

model string|"gpt-4o"|"gpt-4o-2024-05-13"|"gpt-4o-mini"|"gpt-4o-mini-2024-07-18"|"gpt-4-turbo"|"gpt-4-turbo-2024-04-09"|"gpt-4-0125-preview"|"gpt-4-turbo-preview"|"gpt-4-1106-preview"|"gpt-4-vision-preview"|"gpt-4"|"gpt-4-0314"|"gpt-4-0613"|"gpt-4-32k"|"gpt-4-32k-0314"|"gpt-4-32k-0613"|"gpt-3.5-turbo"|"gpt-3.5-turbo-16k"|"gpt-3.5-turbo-0613"|"gpt-3.5-turbo-1106"|"gpt-3.5-turbo-0125"|"gpt-3.5-turbo-16k-0613"?? - The ID of the Model to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.

instructions string? - Overrides the instructions of the assistant. This is useful for modifying the behavior on a per-run basis.

additional_instructions string? - Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions.

additional_messages CreateMessageRequest[]? - Adds additional messages to the thread before creating the run.

tools (AssistantToolsCode|AssistantToolsFileSearch|AssistantToolsFunction)[]? - Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

temperature decimal?(default 1) - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

top_p decimal?(default 1) - 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.

max_prompt_tokens int? - The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status incomplete. See incomplete_details for more info.

max_completion_tokens int? - The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status incomplete. See incomplete_details for more info.

truncation_strategy TruncationObject? -

tool_choice AssistantsApiToolChoiceOption? -

parallel_tool_calls ParallelToolCalls? -

response_format AssistantsApiResponseFormatOption? -

openai.assistants: CreateThreadAndRunRequest

Closed record

Fields

assistant_id string - The ID of the assistant to use to execute this run.

thread CreateThreadRequest? -

model string|"gpt-4o"|"gpt-4o-2024-05-13"|"gpt-4o-mini"|"gpt-4o-mini-2024-07-18"|"gpt-4-turbo"|"gpt-4-turbo-2024-04-09"|"gpt-4-0125-preview"|"gpt-4-turbo-preview"|"gpt-4-1106-preview"|"gpt-4-vision-preview"|"gpt-4"|"gpt-4-0314"|"gpt-4-0613"|"gpt-4-32k"|"gpt-4-32k-0314"|"gpt-4-32k-0613"|"gpt-3.5-turbo"|"gpt-3.5-turbo-16k"|"gpt-3.5-turbo-0613"|"gpt-3.5-turbo-1106"|"gpt-3.5-turbo-0125"|"gpt-3.5-turbo-16k-0613"?? - The ID of the Model to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.

instructions string? - Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis.

tools (AssistantToolsCode|AssistantToolsFileSearch|AssistantToolsFunction)[]? - Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.

tool_resources CreateThreadAndRunRequest_tool_resources? -

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

temperature decimal?(default 1) - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

top_p decimal?(default 1) - 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.

max_prompt_tokens int? - The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status incomplete. See incomplete_details for more info.

max_completion_tokens int? - The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status incomplete. See incomplete_details for more info.

truncation_strategy TruncationObject? -

tool_choice AssistantsApiToolChoiceOption? -

parallel_tool_calls ParallelToolCalls? -

response_format AssistantsApiResponseFormatOption? -

openai.assistants: CreateThreadAndRunRequest_tool_resources

Fields

code_interpreter CreateAssistantRequest_tool_resources_code_interpreter? -

file_search AssistantObject_tool_resources_file_search? -

openai.assistants: CreateThreadRequest

Closed record

Fields

messages CreateMessageRequest[]? - A list of messages to start the thread with.

tool_resources CreateThreadRequest_tool_resources? -

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: CreateThreadRequest_tool_resources

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.

Fields

code_interpreter CreateAssistantRequest_tool_resources_code_interpreter? -

file_search CreateThreadRequest_tool_resources_file_search? -

openai.assistants: CreateThreadRequest_tool_resources_file_search

Fields

vector_store_ids string[]? - The vector store attached to this thread. There can be a maximum of 1 vector store attached to the thread.

vector_stores CreateAssistantRequest_tool_resources_file_search_vector_stores[]? - A helper to create a vector store with file_ids and attach it to this thread. There can be a maximum of 1 vector store attached to the thread.

openai.assistants: DeleteAssistantResponse

Fields

id string -

deleted boolean -

'object "assistant.deleted" -

openai.assistants: DeleteMessageResponse

Fields

id string -

deleted boolean -

'object "thread.message.deleted" -

openai.assistants: DeleteThreadResponse

Fields

id string -

deleted boolean -

'object "thread.deleted" -

openai.assistants: FunctionObject

Fields

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

name string - The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.

parameters FunctionParameters? -

openai.assistants: FunctionParameters

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.

openai.assistants: ListAssistantsQueries

Represents the Queries record for the operation: listAssistants

Fields

before string? - A cursor for use in pagination. before is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.

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

after string? - A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.

'order "asc"|"desc" (default "desc") - Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.

openai.assistants: ListAssistantsResponse

Fields

'object string -

data AssistantObject[] -

first_id string -

last_id string -

has_more boolean -

openai.assistants: ListMessagesQueries

Represents the Queries record for the operation: listMessages

Fields

run_id string? - Filter messages by the run ID that generated them.

before string? - A cursor for use in pagination. before is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.

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

after string? - A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.

'order "asc"|"desc" (default "desc") - Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.

openai.assistants: ListMessagesResponse

Fields

'object string -

data MessageObject[] -

first_id string -

last_id string -

has_more boolean -

openai.assistants: ListRunsQueries

Represents the Queries record for the operation: listRuns

Fields

before string? - A cursor for use in pagination. before is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.

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

after string? - A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.

'order "asc"|"desc" (default "desc") - Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.

openai.assistants: ListRunsResponse

Fields

'object string -

data RunObject[] -

first_id string -

last_id string -

has_more boolean -

openai.assistants: ListRunStepsQueries

Represents the Queries record for the operation: listRunSteps

Fields

before string? - A cursor for use in pagination. before is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.

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

after string? - A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.

'order "asc"|"desc" (default "desc") - Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.

openai.assistants: ListRunStepsResponse

Fields

'object string -

data RunStepObject[] -

first_id string -

last_id string -

has_more boolean -

openai.assistants: MessageContentImageFileObject

References an image File in the content of a message.

Fields

'type "image_file" - Always image_file.

image_file MessageContentImageFileObject_image_file -

openai.assistants: MessageContentImageFileObject_image_file

Fields

file_id string - 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.

detail "auto"|"low"|"high" (default "auto") - 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.

openai.assistants: MessageContentImageUrlObject

References an image URL in the content of a message.

Fields

'type "image_url" - The type of the content part.

image_url MessageContentImageUrlObject_image_url -

openai.assistants: MessageContentImageUrlObject_image_url

Fields

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

detail "auto"|"low"|"high" (default "auto") - Specifies the detail level of the image. low uses fewer tokens, you can opt in to high resolution using high. Default value is auto

openai.assistants: MessageContentTextAnnotationsFileCitationObject

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.

Fields

'type "file_citation" - Always file_citation.

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

file_citation MessageContentTextAnnotationsFileCitationObject_file_citation -

start_index int -

end_index int -

openai.assistants: MessageContentTextAnnotationsFileCitationObject_file_citation

Fields

file_id string - The ID of the specific File the citation is from.

openai.assistants: MessageContentTextAnnotationsFilePathObject

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

Fields

'type "file_path" - Always file_path.

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

file_path MessageContentTextAnnotationsFilePathObject_file_path -

start_index int -

end_index int -

openai.assistants: MessageContentTextAnnotationsFilePathObject_file_path

Fields

file_id string - The ID of the file that was generated.

openai.assistants: MessageContentTextObject

The text content that is part of a message.

Fields

'type "text" - Always text.

text MessageContentTextObject_text -

openai.assistants: MessageContentTextObject_text

Fields

value string - The data that makes up the text.

annotations (MessageContentTextAnnotationsFileCitationObject|MessageContentTextAnnotationsFilePathObject)[] -

openai.assistants: MessageObject

Represents a message within a thread.

Fields

id string - The identifier, which can be referenced in API endpoints.

'object "thread.message" - The object type, which is always thread.message.

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

thread_id string - The thread ID that this message belongs to.

status "in_progress"|"incomplete"|"completed" ? - The status of the message, which can be either in_progress, incomplete, or completed.

incomplete_details MessageObject_incomplete_details? -

completed_at int? - The Unix timestamp (in seconds) for when the message was completed.

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

role "user"|"assistant" - The entity that produced the message. One of user or assistant.

content (MessageContentImageFileObject|MessageContentImageUrlObject|MessageContentTextObject)[] - The content of the message in array of text and/or images.

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

run_id string - 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.

attachments MessageObject_attachments[]? - A list of files attached to the message, and the tools they were added to.

metadata record {} - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: MessageObject_attachments

Fields

file_id string? - The ID of the file to attach to the message.

tools (AssistantToolsCode|AssistantToolsFileSearchTypeOnly)[]? - The tools to add this file to.

openai.assistants: MessageObject_incomplete_details

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

Fields

reason "content_filter"|"max_tokens"|"run_cancelled"|"run_expired"|"run_failed" - The reason the message is incomplete.

openai.assistants: MessageRequestContentTextObject

The text content that is part of a message.

Fields

'type "text" - Always text.

text string - Text content to be sent to the model

openai.assistants: ModifyAssistantRequest

Closed record

Fields

model string? - 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.

name string? - The name of the assistant. The maximum length is 256 characters.

description string? - The description of the assistant. The maximum length is 512 characters.

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

tools (AssistantToolsCode|AssistantToolsFileSearch|AssistantToolsFunction)[](default []) - 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.

tool_resources ModifyAssistantRequest_tool_resources? -

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

temperature decimal?(default 1) - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

top_p decimal?(default 1) - 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.

response_format AssistantsApiResponseFormatOption? -

openai.assistants: ModifyAssistantRequest_tool_resources

Fields

code_interpreter ModifyAssistantRequest_tool_resources_code_interpreter? -

file_search ModifyAssistantRequest_tool_resources_file_search? -

openai.assistants: ModifyAssistantRequest_tool_resources_code_interpreter

Fields

file_ids string[](default []) - 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.

openai.assistants: ModifyAssistantRequest_tool_resources_file_search

Fields

vector_store_ids string[]? - Overrides the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.

openai.assistants: ModifyMessageRequest

Closed record

Fields

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: ModifyRunRequest

Closed record

Fields

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: ModifyThreadRequest

Closed record

Fields

tool_resources ThreadObject_tool_resources? -

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: ProxyConfig

Closed record

Proxy server configurations to be used with the HTTP client endpoint.

Fields

host string(default "") - Host name of the proxy server

port int(default 0) - Proxy server port

userName string(default "") - Proxy server username

password string(default "") - Proxy server password

openai.assistants: RunCompletionUsage

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.).

Fields

completion_tokens int - Number of completion tokens used over the course of the run.

prompt_tokens int - Number of prompt tokens used over the course of the run.

total_tokens int - Total number of tokens used (prompt + completion).

openai.assistants: RunObject

Represents an execution run on a thread.

Fields

id string - The identifier, which can be referenced in API endpoints.

'object "thread.run" - The object type, which is always thread.run.

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

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

assistant_id string - The ID of the assistant used for execution of this run.

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

required_action RunObject_required_action -

last_error RunObject_last_error -

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

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

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

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

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

incomplete_details RunObject_incomplete_details -

model string - The model that the assistant used for this run.

instructions string - The instructions that the assistant used for this run.

tools (AssistantToolsCode|AssistantToolsFileSearch|AssistantToolsFunction)[] - The list of tools that the assistant used for this run.

metadata record {} - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

usage RunCompletionUsage -

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

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

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

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

truncation_strategy TruncationObject -

tool_choice AssistantsApiToolChoiceOption -

parallel_tool_calls ParallelToolCalls -

response_format AssistantsApiResponseFormatOption -

openai.assistants: RunObject_incomplete_details

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

Fields

reason "max_completion_tokens"|"max_prompt_tokens" ? - The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run.

openai.assistants: RunObject_last_error

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

Fields

code "server_error"|"rate_limit_exceeded"|"invalid_prompt" - One of server_error, rate_limit_exceeded, or invalid_prompt.

message string - A human-readable description of the error.

openai.assistants: RunObject_required_action

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

Fields

'type "submit_tool_outputs" - For now, this is always submit_tool_outputs.

submit_tool_outputs RunObject_required_action_submit_tool_outputs -

openai.assistants: RunObject_required_action_submit_tool_outputs

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

Fields

tool_calls RunToolCallObject[] - A list of the relevant tool calls.

openai.assistants: RunStepCompletionUsage

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

Fields

completion_tokens int - Number of completion tokens used over the course of the run step.

prompt_tokens int - Number of prompt tokens used over the course of the run step.

total_tokens int - Total number of tokens used (prompt + completion).

openai.assistants: RunStepDetailsMessageCreationObject

Details of the message creation by the run step.

Fields

'type "message_creation" - Always message_creation.

message_creation RunStepDetailsMessageCreationObject_message_creation -

openai.assistants: RunStepDetailsMessageCreationObject_message_creation

Fields

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

openai.assistants: RunStepDetailsToolCallsCodeObject

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

Fields

id string - The ID of the tool call.

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

code_interpreter RunStepDetailsToolCallsCodeObject_code_interpreter -

openai.assistants: RunStepDetailsToolCallsCodeObject_code_interpreter

The Code Interpreter tool call definition.

Fields

input string - The input to the Code Interpreter tool call.

outputs (RunStepDetailsToolCallsCodeOutputLogsObject|RunStepDetailsToolCallsCodeOutputImageObject)[] - 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.

openai.assistants: RunStepDetailsToolCallsCodeOutputImageObject

Fields

'type "image" - Always image.

image RunStepDetailsToolCallsCodeOutputImageObject_image -

openai.assistants: RunStepDetailsToolCallsCodeOutputImageObject_image

Fields

file_id string - The file ID of the image.

openai.assistants: RunStepDetailsToolCallsCodeOutputLogsObject

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

Fields

'type "logs" - Always logs.

logs string - The text output from the Code Interpreter tool call.

openai.assistants: RunStepDetailsToolCallsFileSearchObject

Fields

id string - The ID of the tool call object.

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

file_search record {} - For now, this is always going to be an empty object.

openai.assistants: RunStepDetailsToolCallsFunctionObject

Fields

id string - The ID of the tool call object.

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

'function RunStepDetailsToolCallsFunctionObject_function -

openai.assistants: RunStepDetailsToolCallsFunctionObject_function

The definition of the function that was called.

Fields

name string - The name of the function.

arguments string - The arguments passed to the function.

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

openai.assistants: RunStepDetailsToolCallsObject

Details of the tool call.

Fields

'type "tool_calls" - Always tool_calls.

tool_calls (RunStepDetailsToolCallsCodeObject|RunStepDetailsToolCallsFileSearchObject|RunStepDetailsToolCallsFunctionObject)[] - 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.

openai.assistants: RunStepObject

Represents a step in execution of a run.

Fields

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

'object "thread.run.step" - The object type, which is always thread.run.step.

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

assistant_id string - The ID of the assistant associated with the run step.

thread_id string - The ID of the thread that was run.

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

'type "message_creation"|"tool_calls" - The type of run step, which can be either message_creation or tool_calls.

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

step_details RunStepDetailsMessageCreationObject|RunStepDetailsToolCallsObject - The details of the run step.

last_error RunStepObject_last_error -

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

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

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

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

metadata record {}? - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

usage RunStepCompletionUsage -

openai.assistants: RunStepObject_last_error

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

Fields

code "server_error"|"rate_limit_exceeded" - One of server_error or rate_limit_exceeded.

message string - A human-readable description of the error.

openai.assistants: RunToolCallObject

Tool call objects

Fields

id string - The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the Submit tool outputs to run endpoint.

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

'function RunToolCallObject_function -

openai.assistants: RunToolCallObject_function

The function definition.

Fields

name string - The name of the function.

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

openai.assistants: SubmitToolOutputsRunRequest

Closed record

Fields

tool_outputs SubmitToolOutputsRunRequest_tool_outputs[] - A list of tools for which the outputs are being submitted.

openai.assistants: SubmitToolOutputsRunRequest_tool_outputs

Fields

tool_call_id string? - The ID of the tool call in the required_action object within the run object the output is being submitted for.

output string? - The output of the tool call to be submitted to continue the run.

openai.assistants: ThreadObject

Represents a thread that contains messages.

Fields

id string - The identifier, which can be referenced in API endpoints.

'object "thread" - The object type, which is always thread.

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

tool_resources ThreadObject_tool_resources -

metadata record {} - 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

openai.assistants: ThreadObject_tool_resources

Fields

code_interpreter CreateAssistantRequest_tool_resources_code_interpreter? -

file_search ThreadObject_tool_resources_file_search? -

openai.assistants: ThreadObject_tool_resources_file_search

Fields

vector_store_ids string[]? - The vector store attached to this thread. There can be a maximum of 1 vector store attached to the thread.

openai.assistants: TruncationObject

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

Fields

'type "auto"|"last_messages" - The truncation strategy to use for the thread. The default is auto. If set to last_messages, the thread will be truncated to the n most recent messages in the thread. When set to auto, messages in the middle of the thread will be dropped to fit the context length of the model, max_prompt_tokens.

last_messages int? - The number of most recent messages from the thread when constructing the context for the run.

Union types

openai.assistants: AssistantsApiResponseFormatOption

"none"|"auto"|AssistantsApiResponseFormat

AssistantsApiResponseFormatOption

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_object" } enables JSON mode, which guarantees 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.

openai.assistants: AssistantsApiToolChoiceOption

"none"|"auto"|"required"|AssistantsNamedToolChoice

AssistantsApiToolChoiceOption

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.

Import

import ballerinax/openai.assistants;

Metadata

Released date: about 1 month ago

Version: 1.0.0

License: Apache-2.0

Compatibility

Platform: any

Ballerina version: 2201.9.3

GraalVM compatible: Yes

Pull count

Total: 0

Current verison: 0

Weekly downloads

Source repository

Keywords

AI/assitants

vendor/OpenAI

cost/paid

custom-bot

run

threads

Contributors

Other versions

1.0.0

Dependencies

ballerina/log/2.9.0 ballerina/url/2.4.0 ballerina/os/1.8.0

Cookie policy

Delete policy

clients

records

unionTypes

ballerinax/openai.assistants Ballerina library

Overview

Setup guide

Create a OpenAI API Key

Quickstart

Step 1: Import the module

Step 2: Instantiate a new connector

Setting HTTP Headers in Ballerina

Step 3: Invoke the connector operations

Step 4: Run the Ballerina application

Examples

Clients

openai.assistants: Client

Constructor

delete assistants/[string assistant_id]

Parameters

Return Type

delete threads/[string thread_id]

Parameters

Return Type

delete threads/[string thread_id]/messages/[string message_id]

Parameters

Return Type

get assistants

Parameters

Return Type

get assistants/[string assistant_id]

Parameters

Return Type

get threads/[string thread_id]

Parameters

Return Type

get threads/[string thread_id]/messages

Parameters

Return Type

get threads/[string thread_id]/messages/[string message_id]

Parameters

Return Type

get threads/[string thread_id]/runs

Parameters

Return Type

get threads/[string thread_id]/runs/[string run_id]

Parameters

Return Type

get threads/[string thread_id]/runs/[string run_id]/steps

Parameters

Return Type

get threads/[string thread_id]/runs/[string run_id]/steps/[string step_id]

Parameters

Return Type

post assistants

Parameters

Return Type

post assistants/[string assistant_id]

Parameters

Return Type

post threads

Parameters

Return Type

post threads/[string thread_id]

Parameters

Return Type

post threads/[string thread_id]/messages

Parameters

Return Type

post threads/[string thread_id]/messages/[string message_id]

Parameters

Return Type

post threads/[string thread_id]/runs

Parameters

Return Type

post threads/[string thread_id]/runs/[string run_id]

Parameters

Return Type

post threads/[string thread_id]/runs/[string run_id]/cancel

Parameters

Return Type