github/copilot-sdk

Features

• AI Agent Orchestration - Provides a comprehensive framework for coordinating specialized agents through parallel workstreams and tool execution.
• Multi-Agent Orchestration - Provides a framework for decomposing and delegating complex tasks across multiple autonomous AI agents.
• Multi-Agent Orchestrators - Coordinates specialized sub-agents and parallel workstreams to decompose and execute complex tasks.
• Agent Orchestration Loops - Implements iterative reasoning and execution frameworks that allow agents to plan and synthesize responses through multi-turn interactions.
• Agent Tool Execution - Provides mechanisms for agents to invoke external functions and tools via a permission handler for secure execution.
• AI Agent Frameworks - Offers a framework for defining specialized agents with custom prompts and external tool integrations.
• AI Model APIs - Provides unified interfaces for connecting and interacting with diverse AI model providers using various credential types.
• LLM Tooling Integrations - Provides connectors and interfaces that allow AI models to access external data servers and execute software tools.
• Tool Integrations - Integrates LLMs with external context servers and specialized tools with fine-grained call control.
• External Tool Integration - Links context servers to agents, enabling interaction with external APIs and specialized data sources.
• LLM Application Infrastructure - Establishes secure connections to model providers using OAuth and API keys while tracking resource usage.
• Provider-Agnostic Model Interfaces - Standardizes connections to multiple LLM providers using an abstraction layer for interchangeable credentials.
• Multi-Tenant Agent Hosting - Offers server-side infrastructure for hosting remote AI sessions with multi-tenant isolation and horizontal scaling.
• LLM Session Managers - Implements session persistence and real-time event streaming to maintain conversation state between AI models and clients.
• Multi-Tenant Identity Management - Isolates user accounts and session tokens within shared environments to support secure multi-tenancy.
• Agentic Session Persistence - Tracks and persists conversation state to allow agents to resume work across restarts or platforms.
• AI Interaction Persistence - Saves and resumes conversation histories across restarts or platforms using a managed remote storage backend.
• Conversational Session Managers - Manages the lifecycle of conversational sessions, including state persistence and real-time event flow.
• Headless Server Hosting - Provides a headless server runtime that separates session execution from the client interface for horizontal scaling.
• Execution Hooks - Injects custom logic into agent reasoning loops to intercept and transform prompts, tool calls, and results.
• Skill Packaging - Bundles prompts, hooks, and agents into loadable directory packages to extend agent capabilities.
• Agent Persona Definitions - Allows the definition of custom agent personas with specific system prompts and behavioral constraints.
• Event-Driven Model Streaming - Implements a runtime architecture that delivers language model outputs and session updates as a real-time event stream.
• Execution Interception Hooks - Provides hooks to control tool usage and transform output results during the session lifecycle.
• Model Discovery Tools - Retrieves lists of supported AI models at runtime to allow dynamic model selection within applications.
• Prompt Templates - Supports the loading of reusable prompt-based skills from directories to extend agent capabilities.
• Tool Result Transformers - Intercepts and modifies data returned by external tools before it is presented to the user or model.
• Agent Session Parallelization - Enables the simultaneous dispatch of multiple sub-agents to process independent sets of work in parallel.
• Infrastructure Deployment - Configures the environment using local or headless instances with support for horizontal scaling.
• Remote Application Hosting - Shares locally hosted AI sessions with web and mobile clients through a centralized remote interface.
• Remote Session Hosting - Executes AI sessions on remote hosted compute instead of local hardware.
• Real-time Data Subscriptions - Provides hooks for managing persistent connections and updating state based on real-time session event streams.
• Real-time Event Streams - Processes model outputs and session updates incrementally via real-time event streams for an immediate user experience.
• Identity Management - Secures service access using a system of OAuth flows, managed identities, and individual session tokens.
• User Authentication Flows - Implements user authentication flows using OAuth and managed identities to secure access to AI services.
• Multi-tenancy Isolation - Implements isolation patterns and horizontal scaling to support multiple concurrent users in server deployments.
• Distributed Tracing Instrumentation - Tracks request flows and propagates trace contexts to debug the distributed execution of AI agent workflows.
• Usage Monitoring - Inspects endpoint metadata and usage events to track resource consumption and attribute operational costs.
• Tool Call Wrappers - Provides interceptors to approve, deny, or modify AI tool calls before they are executed.

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