openai/openai-go

Features

• LLM Model Integrations - Provides the primary interface for integrating large language models into software for text generation and streaming.
• Model API Integrations - Provides the primary SDK for connecting Go applications to OpenAI models for text and image processing.
• AI Agent Skills - Define and update custom capabilities or skills for AI agents.
• AI Assistants - Allows defining persistent AI assistants by specifying their model, instructions, tools, and response formats.
• AI Management SDKs - Provides administrative tools for controlling organization users, project roles, and spending alerts.
• AI Model APIs - Select consistent model versions using predefined identifiers to ensure type-safe API requests.
• AI Organization Administration - Provides a comprehensive suite of tools for managing organization users, project roles, and spending alerts.
• Tool-Enhanced AI Assistants - Enables the creation of AI assistants that use specialized tools and models to complete complex tasks.
• Assistant Management APIs - Provides programmatic interfaces for defining and configuring AI assistants with specialized tools.
• Autonomous Agent Orchestration - Orchestrates autonomous agents with persistent memory and tool-calling to automate multi-step workflows.
• Custom AI Assistant Development - Enables the creation of personalized AI assistants with integrated tools and managed conversation threads.
• Conversation Threads - Manages persistent conversation threads to maintain state and context across multiple user-agent interactions.
• LLM Response Streaming - Deliver language model output incrementally so users see results as they are generated.
• Model Customization - Supports improving model performance through fine-tuning on custom datasets and managing model versions.
• Tool Call Executions - Executes external functions and computer-use tools within AI workflows to perform real-world actions.
• OpenAI API Clients - Provides a Go client implementation of the OpenAI API specification for generating multimodal content.
• Text Generation APIs - Interfaces with large language models to produce text completions with reasoning and prompt caching.
• Text Embeddings - Converts input text into numerical vector representations for semantic similarity searches.
• Go SDKs - Implements a type-safe SDK in Go for interacting with OpenAI's large language models and agent orchestration.
• Asynchronous Batch Processing - Enables creation and tracking of asynchronous processing jobs for large-scale API request groups.
• Audio Transcription - Convert spoken audio files into written text using various model versions.
• Speech-to-Text Translation - Translate spoken audio from one language to another in text format.
• Audio Transcriptions - Converts audio files into text using specified models and speaker identification parameters.
• High Volume AI Processing - Handles large-scale asynchronous batch processing and organizes vector stores for high-volume document retrieval.
• Image Generation - Create and edit visual content using image models with size and character consistency.
• Speech-to-Text Translation - Convert audio files into English text using specific models and style prompts.
• Model Lifecycle Management - Retrieve information about available models or delete custom model versions.
• Model Fine-Tuning - Provides APIs to improve model performance using reinforcement training and specialized tuning.
• Multimodal Content Generation - Produces and processes AI-generated images, video, and synthetic speech via API endpoints.
• Realtime AI Session Managers - Establish low-latency, bidirectional communication for voice and text interactions.
• Text-to-Speech Conversions - Generate spoken audio from text using specified voices, speeds, and formats.
• Speech and Text Processing - Convert speech to text and text to speech with diarization and real-time sessions.
• Structured Output Enforcements - Enforces data models and schemas on model outputs to ensure predictable and machine-readable data extraction.
• Text-to-Audio Synthesis - Convert input text into spoken audio files or streams using selectable voices.
• Text-to-Speech Synthesis - Convert written text into spoken audio output.
• Azure OpenAI Integrations - Configures specific endpoints and authentication to interact with Azure-hosted OpenAI services.
• LLM Schema Outputs - Constrains model responses to a specific schema to ensure machine-readable and predictable structured output.
• Vector Stores - Enables the creation and organization of vector stores for efficient retrieval of document chunks.
• Batch Processing Clients - Ships a specialized client for submitting and monitoring large-scale asynchronous API request batches.
• Request-Response Middleware - Intercept and modify outgoing requests or incoming responses using a custom handler pipeline.
• Generative Video Editing - Create and modify video content including character edits and high-resolution exports.
• Chat Session Management - Allows initialization of conversations with defined workflows, rate limits, and file upload settings.
• Server-Sent Events - Delivers model responses incrementally via server-sent events for real-time streaming output.
• Streaming APIs - Receive output incrementally via server-sent events with dynamic buffer sizing.
• Exponential Backoff Retries - Automatically resends failed network requests using an increasing time delay to improve reliability.
• Run Lifecycle Controls - Provides controls to execute and monitor the lifecycle of specific tasks running on conversation threads.
• Content Moderation - Checks text and images against safety policies to flag prohibited content.
• Webhook Signature Verifiers - Implements cryptographic signature verification for incoming webhook payloads to ensure request authenticity.
• Webhook Security - Provides mechanisms for verifying the authenticity and integrity of incoming webhook events.
• Project Quota Management - Retrieve and modify usage limits for specific projects to control costs and consumption.
• Batch Request Execution - Execute large groups of API requests from an uploaded file and manage their lifecycle.
• Multipart Uploads - Send local files or data streams as multipart form requests with custom content types.

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