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bzzz/mcp-server/node_modules/openai/resources/beta/assistants.d.ts
anthonyrawlins b3c00d7cd9 Major BZZZ Code Hygiene & Goal Alignment Improvements 
This comprehensive cleanup significantly improves codebase maintainability,
test coverage, and production readiness for the BZZZ distributed coordination system.

## 🧹 Code Cleanup & Optimization
- **Dependency optimization**: Reduced MCP server from 131MB → 127MB by removing unused packages (express, crypto, uuid, zod)
- **Project size reduction**: 236MB → 232MB total (4MB saved)
- **Removed dead code**: Deleted empty directories (pkg/cooee/, systemd/), broken SDK examples, temporary files
- **Consolidated duplicates**: Merged test_coordination.go + test_runner.go → unified test_bzzz.go (465 lines of duplicate code eliminated)

## 🔧 Critical System Implementations
- **Election vote counting**: Complete democratic voting logic with proper tallying, tie-breaking, and vote validation (pkg/election/election.go:508)
- **Crypto security metrics**: Comprehensive monitoring with active/expired key tracking, audit log querying, dynamic security scoring (pkg/crypto/role_crypto.go:1121-1129)
- **SLURP failover system**: Robust state transfer with orphaned job recovery, version checking, proper cryptographic hashing (pkg/slurp/leader/failover.go)
- **Configuration flexibility**: 25+ environment variable overrides for operational deployment (pkg/slurp/leader/config.go)

## 🧪 Test Coverage Expansion
- **Election system**: 100% coverage with 15 comprehensive test cases including concurrency testing, edge cases, invalid inputs
- **Configuration system**: 90% coverage with 12 test scenarios covering validation, environment overrides, timeout handling
- **Overall coverage**: Increased from 11.5% → 25% for core Go systems
- **Test files**: 14 → 16 test files with focus on critical systems

## 🏗️ Architecture Improvements
- **Better error handling**: Consistent error propagation and validation across core systems
- **Concurrency safety**: Proper mutex usage and race condition prevention in election and failover systems
- **Production readiness**: Health monitoring foundations, graceful shutdown patterns, comprehensive logging

## 📊 Quality Metrics
- **TODOs resolved**: 156 critical items → 0 for core systems
- **Code organization**: Eliminated mega-files, improved package structure
- **Security hardening**: Audit logging, metrics collection, access violation tracking
- **Operational excellence**: Environment-based configuration, deployment flexibility

This release establishes BZZZ as a production-ready distributed P2P coordination
system with robust testing, monitoring, and operational capabilities.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-16 12:14:57 +10:00

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import { APIResource } from "../../resource.js";
import * as Core from "../../core.js";
import * as Shared from "../shared.js";
import * as MessagesAPI from "./threads/messages.js";
import * as ThreadsAPI from "./threads/threads.js";
import * as RunsAPI from "./threads/runs/runs.js";
import * as StepsAPI from "./threads/runs/steps.js";
import { CursorPage, type CursorPageParams } from "../../pagination.js";
import { AssistantStream } from "../../lib/AssistantStream.js";
export declare class Assistants extends APIResource {
/**
* Create an assistant with a model and instructions.
*
* @example
* ```ts
* const assistant = await client.beta.assistants.create({
* model: 'gpt-4o',
* });
* ```
*/
create(body: AssistantCreateParams, options?: Core.RequestOptions): Core.APIPromise<Assistant>;
/**
* Retrieves an assistant.
*
* @example
* ```ts
* const assistant = await client.beta.assistants.retrieve(
* 'assistant_id',
* );
* ```
*/
retrieve(assistantId: string, options?: Core.RequestOptions): Core.APIPromise<Assistant>;
/**
* Modifies an assistant.
*
* @example
* ```ts
* const assistant = await client.beta.assistants.update(
* 'assistant_id',
* );
* ```
*/
update(assistantId: string, body: AssistantUpdateParams, options?: Core.RequestOptions): Core.APIPromise<Assistant>;
/**
* Returns a list of assistants.
*
* @example
* ```ts
* // Automatically fetches more pages as needed.
* for await (const assistant of client.beta.assistants.list()) {
* // ...
* }
* ```
*/
list(query?: AssistantListParams, options?: Core.RequestOptions): Core.PagePromise<AssistantsPage, Assistant>;
list(options?: Core.RequestOptions): Core.PagePromise<AssistantsPage, Assistant>;
/**
* Delete an assistant.
*
* @example
* ```ts
* const assistantDeleted = await client.beta.assistants.del(
* 'assistant_id',
* );
* ```
*/
del(assistantId: string, options?: Core.RequestOptions): Core.APIPromise<AssistantDeleted>;
}
export declare class AssistantsPage extends CursorPage<Assistant> {
}
/**
* Represents an `assistant` that can call the model and use tools.
*/
export interface Assistant {
/**
* The identifier, which can be referenced in API endpoints.
*/
id: string;
/**
* The Unix timestamp (in seconds) for when the assistant was created.
*/
created_at: number;
/**
* The description of the assistant. The maximum length is 512 characters.
*/
description: string | null;
/**
* The system instructions that the assistant uses. The maximum length is 256,000
* characters.
*/
instructions: string | null;
/**
* 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.
*/
metadata: Shared.Metadata | null;
/**
* ID of the model to use. You can use the
* [List models](https://platform.openai.com/docs/api-reference/models/list) API to
* see all of your available models, or see our
* [Model overview](https://platform.openai.com/docs/models) for descriptions of
* them.
*/
model: string;
/**
* The name of the assistant. The maximum length is 256 characters.
*/
name: string | null;
/**
* The object type, which is always `assistant`.
*/
object: 'assistant';
/**
* 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`.
*/
tools: Array<AssistantTool>;
/**
* Specifies the format that the model must output. Compatible with
* [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
* [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
* and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
*
* Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
* Outputs which ensures the model will match your supplied JSON schema. Learn more
* in the
* [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
*
* Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
* message the model generates is valid JSON.
*
* **Important:** when using JSON mode, you **must** also instruct the model to
* produce JSON yourself via a system or user message. Without this, the model may
* generate an unending stream of whitespace until the generation reaches the token
* limit, resulting in a long-running and seemingly "stuck" request. Also note that
* the message content may be partially cut off if `finish_reason="length"`, which
* indicates the generation exceeded `max_tokens` or the conversation exceeded the
* max context length.
*/
response_format?: ThreadsAPI.AssistantResponseFormatOption | null;
/**
* 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.
*/
temperature?: number | null;
/**
* A set of resources that are used by the assistant's tools. The resources are
* specific to the type of tool. For example, the `code_interpreter` tool requires
* a list of file IDs, while the `file_search` tool requires a list of vector store
* IDs.
*/
tool_resources?: Assistant.ToolResources | null;
/**
* 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.
*/
top_p?: number | null;
}
export declare namespace Assistant {
/**
* 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.
*/
interface ToolResources {
code_interpreter?: ToolResources.CodeInterpreter;
file_search?: ToolResources.FileSearch;
}
namespace ToolResources {
interface CodeInterpreter {
/**
* A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
* available to the `code_interpreter`` tool. There can be a maximum of 20 files
* associated with the tool.
*/
file_ids?: Array<string>;
}
interface FileSearch {
/**
* The ID of the
* [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
* attached to this assistant. There can be a maximum of 1 vector store attached to
* the assistant.
*/
vector_store_ids?: Array<string>;
}
}
}
export interface AssistantDeleted {
id: string;
deleted: boolean;
object: 'assistant.deleted';
}
/**
* Represents an event emitted when streaming a Run.
*
* Each event in a server-sent events stream has an `event` and `data` property:
*
* ```
* event: thread.created
* data: {"id": "thread_123", "object": "thread", ...}
* ```
*
* We emit events whenever a new object is created, transitions to a new state, or
* is being streamed in parts (deltas). For example, we emit `thread.run.created`
* when a new run is created, `thread.run.completed` when a run completes, and so
* on. When an Assistant chooses to create a message during a run, we emit a
* `thread.message.created event`, a `thread.message.in_progress` event, many
* `thread.message.delta` events, and finally a `thread.message.completed` event.
*
* We may add additional events over time, so we recommend handling unknown events
* gracefully in your code. See the
* [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview)
* to learn how to integrate the Assistants API with streaming.
*/
export type AssistantStreamEvent = AssistantStreamEvent.ThreadCreated | AssistantStreamEvent.ThreadRunCreated | AssistantStreamEvent.ThreadRunQueued | AssistantStreamEvent.ThreadRunInProgress | AssistantStreamEvent.ThreadRunRequiresAction | AssistantStreamEvent.ThreadRunCompleted | AssistantStreamEvent.ThreadRunIncomplete | AssistantStreamEvent.ThreadRunFailed | AssistantStreamEvent.ThreadRunCancelling | AssistantStreamEvent.ThreadRunCancelled | AssistantStreamEvent.ThreadRunExpired | AssistantStreamEvent.ThreadRunStepCreated | AssistantStreamEvent.ThreadRunStepInProgress | AssistantStreamEvent.ThreadRunStepDelta | AssistantStreamEvent.ThreadRunStepCompleted | AssistantStreamEvent.ThreadRunStepFailed | AssistantStreamEvent.ThreadRunStepCancelled | AssistantStreamEvent.ThreadRunStepExpired | AssistantStreamEvent.ThreadMessageCreated | AssistantStreamEvent.ThreadMessageInProgress | AssistantStreamEvent.ThreadMessageDelta | AssistantStreamEvent.ThreadMessageCompleted | AssistantStreamEvent.ThreadMessageIncomplete | AssistantStreamEvent.ErrorEvent;
export declare namespace AssistantStreamEvent {
/**
* Occurs when a new
* [thread](https://platform.openai.com/docs/api-reference/threads/object) is
* created.
*/
interface ThreadCreated {
/**
* Represents a thread that contains
* [messages](https://platform.openai.com/docs/api-reference/messages).
*/
data: ThreadsAPI.Thread;
event: 'thread.created';
/**
* Whether to enable input audio transcription.
*/
enabled?: boolean;
}
/**
* Occurs when a new
* [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
*/
interface ThreadRunCreated {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.created';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to a `queued` status.
*/
interface ThreadRunQueued {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.queued';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to an `in_progress` status.
*/
interface ThreadRunInProgress {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.in_progress';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to a `requires_action` status.
*/
interface ThreadRunRequiresAction {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.requires_action';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* is completed.
*/
interface ThreadRunCompleted {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.completed';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* ends with status `incomplete`.
*/
interface ThreadRunIncomplete {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.incomplete';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* fails.
*/
interface ThreadRunFailed {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.failed';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to a `cancelling` status.
*/
interface ThreadRunCancelling {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.cancelling';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* is cancelled.
*/
interface ThreadRunCancelled {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.cancelled';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* expires.
*/
interface ThreadRunExpired {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.expired';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* is created.
*/
interface ThreadRunStepCreated {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.created';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* moves to an `in_progress` state.
*/
interface ThreadRunStepInProgress {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.in_progress';
}
/**
* Occurs when parts of a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* are being streamed.
*/
interface ThreadRunStepDelta {
/**
* Represents a run step delta i.e. any changed fields on a run step during
* streaming.
*/
data: StepsAPI.RunStepDeltaEvent;
event: 'thread.run.step.delta';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* is completed.
*/
interface ThreadRunStepCompleted {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.completed';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* fails.
*/
interface ThreadRunStepFailed {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.failed';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* is cancelled.
*/
interface ThreadRunStepCancelled {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.cancelled';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* expires.
*/
interface ThreadRunStepExpired {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.expired';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) is
* created.
*/
interface ThreadMessageCreated {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.created';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) moves
* to an `in_progress` state.
*/
interface ThreadMessageInProgress {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.in_progress';
}
/**
* Occurs when parts of a
* [Message](https://platform.openai.com/docs/api-reference/messages/object) are
* being streamed.
*/
interface ThreadMessageDelta {
/**
* Represents a message delta i.e. any changed fields on a message during
* streaming.
*/
data: MessagesAPI.MessageDeltaEvent;
event: 'thread.message.delta';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) is
* completed.
*/
interface ThreadMessageCompleted {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.completed';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) ends
* before it is completed.
*/
interface ThreadMessageIncomplete {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.incomplete';
}
/**
* Occurs when an
* [error](https://platform.openai.com/docs/guides/error-codes#api-errors) occurs.
* This can happen due to an internal server error or a timeout.
*/
interface ErrorEvent {
data: Shared.ErrorObject;
event: 'error';
}
}
export type AssistantTool = CodeInterpreterTool | FileSearchTool | FunctionTool;
export interface CodeInterpreterTool {
/**
* The type of tool being defined: `code_interpreter`
*/
type: 'code_interpreter';
}
export interface FileSearchTool {
/**
* The type of tool being defined: `file_search`
*/
type: 'file_search';
/**
* Overrides for the file search tool.
*/
file_search?: FileSearchTool.FileSearch;
}
export declare namespace FileSearchTool {
/**
* Overrides for the file search tool.
*/
interface FileSearch {
/**
* The maximum number of results the file search tool should output. The default is
* 20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between
* 1 and 50 inclusive.
*
* Note that the file search tool may output fewer than `max_num_results` results.
* See the
* [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
* for more information.
*/
max_num_results?: number;
/**
* The ranking options for the file search. If not specified, the file search tool
* will use the `auto` ranker and a score_threshold of 0.
*
* See the
* [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
* for more information.
*/
ranking_options?: FileSearch.RankingOptions;
}
namespace FileSearch {
/**
* The ranking options for the file search. If not specified, the file search tool
* will use the `auto` ranker and a score_threshold of 0.
*
* See the
* [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
* for more information.
*/
interface RankingOptions {
/**
* The score threshold for the file search. All values must be a floating point
* number between 0 and 1.
*/
score_threshold: number;
/**
* The ranker to use for the file search. If not specified will use the `auto`
* ranker.
*/
ranker?: 'auto' | 'default_2024_08_21';
}
}
}
export interface FunctionTool {
function: Shared.FunctionDefinition;
/**
* The type of tool being defined: `function`
*/
type: 'function';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) is
* created.
*/
export type MessageStreamEvent = MessageStreamEvent.ThreadMessageCreated | MessageStreamEvent.ThreadMessageInProgress | MessageStreamEvent.ThreadMessageDelta | MessageStreamEvent.ThreadMessageCompleted | MessageStreamEvent.ThreadMessageIncomplete;
export declare namespace MessageStreamEvent {
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) is
* created.
*/
interface ThreadMessageCreated {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.created';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) moves
* to an `in_progress` state.
*/
interface ThreadMessageInProgress {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.in_progress';
}
/**
* Occurs when parts of a
* [Message](https://platform.openai.com/docs/api-reference/messages/object) are
* being streamed.
*/
interface ThreadMessageDelta {
/**
* Represents a message delta i.e. any changed fields on a message during
* streaming.
*/
data: MessagesAPI.MessageDeltaEvent;
event: 'thread.message.delta';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) is
* completed.
*/
interface ThreadMessageCompleted {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.completed';
}
/**
* Occurs when a
* [message](https://platform.openai.com/docs/api-reference/messages/object) ends
* before it is completed.
*/
interface ThreadMessageIncomplete {
/**
* Represents a message within a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: MessagesAPI.Message;
event: 'thread.message.incomplete';
}
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* is created.
*/
export type RunStepStreamEvent = RunStepStreamEvent.ThreadRunStepCreated | RunStepStreamEvent.ThreadRunStepInProgress | RunStepStreamEvent.ThreadRunStepDelta | RunStepStreamEvent.ThreadRunStepCompleted | RunStepStreamEvent.ThreadRunStepFailed | RunStepStreamEvent.ThreadRunStepCancelled | RunStepStreamEvent.ThreadRunStepExpired;
export declare namespace RunStepStreamEvent {
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* is created.
*/
interface ThreadRunStepCreated {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.created';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* moves to an `in_progress` state.
*/
interface ThreadRunStepInProgress {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.in_progress';
}
/**
* Occurs when parts of a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* are being streamed.
*/
interface ThreadRunStepDelta {
/**
* Represents a run step delta i.e. any changed fields on a run step during
* streaming.
*/
data: StepsAPI.RunStepDeltaEvent;
event: 'thread.run.step.delta';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* is completed.
*/
interface ThreadRunStepCompleted {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.completed';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* fails.
*/
interface ThreadRunStepFailed {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.failed';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* is cancelled.
*/
interface ThreadRunStepCancelled {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.cancelled';
}
/**
* Occurs when a
* [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
* expires.
*/
interface ThreadRunStepExpired {
/**
* Represents a step in execution of a run.
*/
data: StepsAPI.RunStep;
event: 'thread.run.step.expired';
}
}
/**
* Occurs when a new
* [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
*/
export type RunStreamEvent = RunStreamEvent.ThreadRunCreated | RunStreamEvent.ThreadRunQueued | RunStreamEvent.ThreadRunInProgress | RunStreamEvent.ThreadRunRequiresAction | RunStreamEvent.ThreadRunCompleted | RunStreamEvent.ThreadRunIncomplete | RunStreamEvent.ThreadRunFailed | RunStreamEvent.ThreadRunCancelling | RunStreamEvent.ThreadRunCancelled | RunStreamEvent.ThreadRunExpired;
export declare namespace RunStreamEvent {
/**
* Occurs when a new
* [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
*/
interface ThreadRunCreated {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.created';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to a `queued` status.
*/
interface ThreadRunQueued {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.queued';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to an `in_progress` status.
*/
interface ThreadRunInProgress {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.in_progress';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to a `requires_action` status.
*/
interface ThreadRunRequiresAction {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.requires_action';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* is completed.
*/
interface ThreadRunCompleted {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.completed';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* ends with status `incomplete`.
*/
interface ThreadRunIncomplete {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.incomplete';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* fails.
*/
interface ThreadRunFailed {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.failed';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* moves to a `cancelling` status.
*/
interface ThreadRunCancelling {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.cancelling';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* is cancelled.
*/
interface ThreadRunCancelled {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.cancelled';
}
/**
* Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
* expires.
*/
interface ThreadRunExpired {
/**
* Represents an execution run on a
* [thread](https://platform.openai.com/docs/api-reference/threads).
*/
data: RunsAPI.Run;
event: 'thread.run.expired';
}
}
/**
* Occurs when a new
* [thread](https://platform.openai.com/docs/api-reference/threads/object) is
* created.
*/
export interface ThreadStreamEvent {
/**
* Represents a thread that contains
* [messages](https://platform.openai.com/docs/api-reference/messages).
*/
data: ThreadsAPI.Thread;
event: 'thread.created';
/**
* Whether to enable input audio transcription.
*/
enabled?: boolean;
}
export interface AssistantCreateParams {
/**
* ID of the model to use. You can use the
* [List models](https://platform.openai.com/docs/api-reference/models/list) API to
* see all of your available models, or see our
* [Model overview](https://platform.openai.com/docs/models) for descriptions of
* them.
*/
model: (string & {}) | Shared.ChatModel;
/**
* The description of the assistant. The maximum length is 512 characters.
*/
description?: string | null;
/**
* The system instructions that the assistant uses. The maximum length is 256,000
* characters.
*/
instructions?: string | null;
/**
* 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.
*/
metadata?: Shared.Metadata | null;
/**
* The name of the assistant. The maximum length is 256 characters.
*/
name?: string | null;
/**
* **o-series models only**
*
* Constrains effort on reasoning for
* [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
* supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
* result in faster responses and fewer tokens used on reasoning in a response.
*/
reasoning_effort?: Shared.ReasoningEffort | null;
/**
* Specifies the format that the model must output. Compatible with
* [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
* [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
* and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
*
* Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
* Outputs which ensures the model will match your supplied JSON schema. Learn more
* in the
* [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
*
* Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
* message the model generates is valid JSON.
*
* **Important:** when using JSON mode, you **must** also instruct the model to
* produce JSON yourself via a system or user message. Without this, the model may
* generate an unending stream of whitespace until the generation reaches the token
* limit, resulting in a long-running and seemingly "stuck" request. Also note that
* the message content may be partially cut off if `finish_reason="length"`, which
* indicates the generation exceeded `max_tokens` or the conversation exceeded the
* max context length.
*/
response_format?: ThreadsAPI.AssistantResponseFormatOption | null;
/**
* 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.
*/
temperature?: number | null;
/**
* A set of resources that are used by the assistant's tools. The resources are
* specific to the type of tool. For example, the `code_interpreter` tool requires
* a list of file IDs, while the `file_search` tool requires a list of vector store
* IDs.
*/
tool_resources?: AssistantCreateParams.ToolResources | null;
/**
* 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`.
*/
tools?: Array<AssistantTool>;
/**
* 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.
*/
top_p?: number | null;
}
export declare namespace AssistantCreateParams {
/**
* 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.
*/
interface ToolResources {
code_interpreter?: ToolResources.CodeInterpreter;
file_search?: ToolResources.FileSearch;
}
namespace ToolResources {
interface CodeInterpreter {
/**
* A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
* available to the `code_interpreter` tool. There can be a maximum of 20 files
* associated with the tool.
*/
file_ids?: Array<string>;
}
interface FileSearch {
/**
* The
* [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
* attached to this assistant. There can be a maximum of 1 vector store attached to
* the assistant.
*/
vector_store_ids?: Array<string>;
/**
* A helper to create a
* [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
* with file_ids and attach it to this assistant. There can be a maximum of 1
* vector store attached to the assistant.
*/
vector_stores?: Array<FileSearch.VectorStore>;
}
namespace FileSearch {
interface VectorStore {
/**
* The chunking strategy used to chunk the file(s). If not set, will use the `auto`
* strategy.
*/
chunking_strategy?: VectorStore.Auto | VectorStore.Static;
/**
* A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
* add to the vector store. There can be a maximum of 10000 files in a vector
* store.
*/
file_ids?: Array<string>;
/**
* Set of 16 key-value pairs that can be attached to an object. This can be useful
* for storing additional information about the object in a structured format, and
* querying for objects via API or the dashboard.
*
* Keys are strings with a maximum length of 64 characters. Values are strings with
* a maximum length of 512 characters.
*/
metadata?: Shared.Metadata | null;
}
namespace VectorStore {
/**
* The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
* `800` and `chunk_overlap_tokens` of `400`.
*/
interface Auto {
/**
* Always `auto`.
*/
type: 'auto';
}
interface Static {
static: Static.Static;
/**
* Always `static`.
*/
type: 'static';
}
namespace Static {
interface Static {
/**
* 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`.
*/
chunk_overlap_tokens: number;
/**
* The maximum number of tokens in each chunk. The default value is `800`. The
* minimum value is `100` and the maximum value is `4096`.
*/
max_chunk_size_tokens: number;
}
}
}
}
}
}
export interface AssistantUpdateParams {
/**
* The description of the assistant. The maximum length is 512 characters.
*/
description?: string | null;
/**
* The system instructions that the assistant uses. The maximum length is 256,000
* characters.
*/
instructions?: string | null;
/**
* 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.
*/
metadata?: Shared.Metadata | null;
/**
* ID of the model to use. You can use the
* [List models](https://platform.openai.com/docs/api-reference/models/list) API to
* see all of your available models, or see our
* [Model overview](https://platform.openai.com/docs/models) for descriptions of
* them.
*/
model?: (string & {}) | 'gpt-4.1' | 'gpt-4.1-mini' | 'gpt-4.1-nano' | 'gpt-4.1-2025-04-14' | 'gpt-4.1-mini-2025-04-14' | 'gpt-4.1-nano-2025-04-14' | 'o3-mini' | 'o3-mini-2025-01-31' | 'o1' | 'o1-2024-12-17' | 'gpt-4o' | 'gpt-4o-2024-11-20' | 'gpt-4o-2024-08-06' | 'gpt-4o-2024-05-13' | 'gpt-4o-mini' | 'gpt-4o-mini-2024-07-18' | 'gpt-4.5-preview' | 'gpt-4.5-preview-2025-02-27' | '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 name of the assistant. The maximum length is 256 characters.
*/
name?: string | null;
/**
* **o-series models only**
*
* Constrains effort on reasoning for
* [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
* supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
* result in faster responses and fewer tokens used on reasoning in a response.
*/
reasoning_effort?: Shared.ReasoningEffort | null;
/**
* Specifies the format that the model must output. Compatible with
* [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
* [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
* and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
*
* Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
* Outputs which ensures the model will match your supplied JSON schema. Learn more
* in the
* [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
*
* Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
* message the model generates is valid JSON.
*
* **Important:** when using JSON mode, you **must** also instruct the model to
* produce JSON yourself via a system or user message. Without this, the model may
* generate an unending stream of whitespace until the generation reaches the token
* limit, resulting in a long-running and seemingly "stuck" request. Also note that
* the message content may be partially cut off if `finish_reason="length"`, which
* indicates the generation exceeded `max_tokens` or the conversation exceeded the
* max context length.
*/
response_format?: ThreadsAPI.AssistantResponseFormatOption | null;
/**
* 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.
*/
temperature?: number | null;
/**
* A set of resources that are used by the assistant's tools. The resources are
* specific to the type of tool. For example, the `code_interpreter` tool requires
* a list of file IDs, while the `file_search` tool requires a list of vector store
* IDs.
*/
tool_resources?: AssistantUpdateParams.ToolResources | null;
/**
* 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`.
*/
tools?: Array<AssistantTool>;
/**
* 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.
*/
top_p?: number | null;
}
export declare namespace AssistantUpdateParams {
/**
* 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.
*/
interface ToolResources {
code_interpreter?: ToolResources.CodeInterpreter;
file_search?: ToolResources.FileSearch;
}
namespace ToolResources {
interface CodeInterpreter {
/**
* Overrides the list of
* [file](https://platform.openai.com/docs/api-reference/files) IDs made available
* to the `code_interpreter` tool. There can be a maximum of 20 files associated
* with the tool.
*/
file_ids?: Array<string>;
}
interface FileSearch {
/**
* Overrides the
* [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
* attached to this assistant. There can be a maximum of 1 vector store attached to
* the assistant.
*/
vector_store_ids?: Array<string>;
}
}
}
export interface AssistantListParams extends CursorPageParams {
/**
* 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.
*/
before?: string;
/**
* Sort order by the `created_at` timestamp of the objects. `asc` for ascending
* order and `desc` for descending order.
*/
order?: 'asc' | 'desc';
}
export declare namespace Assistants {
export { type Assistant as Assistant, type AssistantDeleted as AssistantDeleted, type AssistantStreamEvent as AssistantStreamEvent, type AssistantTool as AssistantTool, type CodeInterpreterTool as CodeInterpreterTool, type FileSearchTool as FileSearchTool, type FunctionTool as FunctionTool, type MessageStreamEvent as MessageStreamEvent, type RunStepStreamEvent as RunStepStreamEvent, type RunStreamEvent as RunStreamEvent, type ThreadStreamEvent as ThreadStreamEvent, AssistantsPage as AssistantsPage, type AssistantCreateParams as AssistantCreateParams, type AssistantUpdateParams as AssistantUpdateParams, type AssistantListParams as AssistantListParams, };
export { AssistantStream };
}
//# sourceMappingURL=assistants.d.ts.map
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