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Documentation Agent

36

by inference-gateway

A2A agent server that provides Context7-style documentation capabilities for your agents

1 starsUpdated 2026-01-27
Quality Score36/100
★ Community
7
◷ Freshness
81
✓ Official
30
⚡ Skills
10
⬡ Protocol
40
🔒 Security
20

Getting Started

1Clone the repository
$ git clone https://github.com/inference-gateway/documentation-agent
2Navigate to the project
$ cd documentation-agent
3Install dependencies
$ # Check README for install instructions
4Run the agent
$ # Check README for run instructions

Or connect to the hosted endpoint: https://registry.inference-gateway.com/

README

Documentation-Agent

CI Go Version A2A Protocol License: MIT

A2A agent server that provides Context7-style documentation capabilities for your agents

A enterprise-ready Agent-to-Agent (A2A) server that provides AI-powered capabilities through a standardized protocol.

Quick Start

# Run the agent
go run .

# Or with Docker
docker build -t documentation-agent .
docker run -p 8080:8080 documentation-agent

Quick Install

Add this agent to your Inference Gateway CLI:

infer agents add documentation-agent http://localhost:8080 \
  --oci ghcr.io/inference-gateway/documentation-agent:latest \
  --run

Features

  • ✅ A2A protocol compliant
  • ✅ AI-powered capabilities
  • ✅ Streaming support
  • ✅ State transition history
  • ✅ Enterprise-ready
  • ✅ Minimal dependencies

Endpoints

  • GET /.well-known/agent-card.json - Agent metadata and capabilities
  • GET /health - Health check endpoint
  • POST /a2a - A2A protocol endpoint

Available Skills

Skill Description Parameters
resolve_library_id Resolves library name to Context7-compatible library ID and returns matching libraries libraryName
get_library_docs Fetches up-to-date documentation for a library using Context7-compatible library ID context7CompatibleLibraryID, tokens, topic

Configuration

Configure the agent via environment variables:

Category Variable Description Default
Server A2A_PORT Server port 8080
Server A2A_DEBUG Enable debug mode false
Server A2A_AGENT_URL Agent URL for internal references http://localhost:8080
Server A2A_STREAMING_STATUS_UPDATE_INTERVAL Streaming status update frequency 1s
Server A2A_SERVER_READ_TIMEOUT HTTP server read timeout 120s
Server A2A_SERVER_WRITE_TIMEOUT HTTP server write timeout 120s
Server A2A_SERVER_IDLE_TIMEOUT HTTP server idle timeout 120s
Server A2A_SERVER_DISABLE_HEALTHCHECK_LOG Disable logging for health check requests true
Agent Metadata A2A_AGENT_CARD_FILE_PATH Path to agent card JSON file .well-known/agent-card.json
LLM Client A2A_AGENT_CLIENT_PROVIDER LLM provider (openai, anthropic, azure, ollama, deepseek) ``
LLM Client A2A_AGENT_CLIENT_MODEL Model to use ``
LLM Client A2A_AGENT_CLIENT_API_KEY API key for LLM provider -
LLM Client A2A_AGENT_CLIENT_BASE_URL Custom LLM API endpoint -
LLM Client A2A_AGENT_CLIENT_TIMEOUT Timeout for LLM requests 30s
LLM Client A2A_AGENT_CLIENT_MAX_RETRIES Maximum retries for LLM requests 3
LLM Client A2A_AGENT_CLIENT_MAX_CHAT_COMPLETION_ITERATIONS Max chat completion rounds 10
LLM Client A2A_AGENT_CLIENT_MAX_TOKENS Maximum tokens for LLM responses 4096
LLM Client A2A_AGENT_CLIENT_TEMPERATURE Controls randomness of LLM output 0.7
Capabilities A2A_CAPABILITIES_STREAMING Enable streaming responses true
Capabilities A2A_CAPABILITIES_PUSH_NOTIFICATIONS Enable push notifications false
Capabilities A2A_CAPABILITIES_STATE_TRANSITION_HISTORY Track state transitions true
Task Management A2A_TASK_RETENTION_MAX_COMPLETED_TASKS Max completed tasks to keep (0 = unlimited) 100
Task Management A2A_TASK_RETENTION_MAX_FAILED_TASKS Max failed tasks to keep (0 = unlimited) 50
Task Management A2A_TASK_RETENTION_CLEANUP_INTERVAL Cleanup frequency (0 = manual only) 5m
Storage A2A_QUEUE_PROVIDER Storage backend (memory or redis) memory
Storage A2A_QUEUE_URL Redis connection URL (when using Redis) -
Storage A2A_QUEUE_MAX_SIZE Maximum queue size 100
Storage A2A_QUEUE_CLEANUP_INTERVAL Task cleanup interval 30s
Authentication A2A_AUTH_ENABLE Enable OIDC authentication false

Development

# Generate code from ADL
task generate

# Run tests
task test

# Build the application
task build

# Run linter
task lint

# Format code
task fmt

Debugging

Use the A2A Debugger to test and debug your A2A agent during development. It provides a web interface for sending requests to your agent and inspecting responses, making it easier to troubleshoot issues and validate your implementation.

docker run --rm -it --network host ghcr.io/inference-gateway/a2a-debugger:latest --server-url http://localhost:8080 tasks submit "What are your skills?"

docker run --rm -it --network host ghcr.io/inference-gateway/a2a-debugger:latest --server-url http://localhost:8080 tasks list

docker run --rm -it --network host ghcr.io/inference-gateway/a2a-debugger:latest --server-url http://localhost:8080 tasks get <task ID>

Deployment

Docker

The Docker image can be built with custom version information using build arguments:

# Build with default values from ADL
docker build -t documentation-agent .

# Build with custom version information
docker build \
  --build-arg VERSION=1.2.3 \
  --build-arg AGENT_NAME="My Custom Agent" \
  --build-arg AGENT_DESCRIPTION="Custom agent description" \
  -t documentation-agent:1.2.3 .

Available Build Arguments:

  • VERSION - Agent version (default: 0.2.24)
  • AGENT_NAME - Agent name (default: documentation-agent)
  • AGENT_DESCRIPTION - Agent description (default: A2A agent server that provides Context7-style documentation capabilities for your agents)

These values are embedded into the binary at build time using linker flags, making them accessible at runtime without requiring environment variables.

License

MIT License - see LICENSE file for details

Capabilities

StreamingPush NotificationsMulti-TurnAuth: none
a2a-serverocioci-image
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