Files
the-nexus/config/agent_card.example.yaml
Alexander Whitestone bb9758c4d2
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feat: implement A2A protocol for fleet-wizard delegation (#1122)
Implements Google Agent2Agent Protocol v1.0 with full fleet integration:

## Phase 1 - Agent Card & Discovery
- Agent Card types with JSON serialization (camelCase, Part discrimination by key)
- Card generation from YAML config (~/.hermes/agent_card.yaml)
- Fleet registry with LocalFileRegistry + GiteaRegistry backends
- Discovery by skill ID or tag

## Phase 2 - Task Delegation
- Async A2A client with JSON-RPC SendMessage/GetTask/ListTasks/CancelTask
- FastAPI server with pluggable task handlers (skill-routed)
- CLI tool (bin/a2a_delegate.py) for fleet delegation
- Broadcast to multiple agents in parallel

## Phase 3 - Security & Reliability
- Bearer token + API key auth (configurable per agent)
- Retry logic (max 3 retries, 30s timeout)
- Audit logging for all inter-agent requests
- Error handling per A2A spec (-32001 to -32009 codes)

## Test Coverage
- 37 tests covering types, card building, registry, server integration
- Auth (required + success), handler routing, error handling

Files:
- nexus/a2a/ (types.py, card.py, client.py, server.py, registry.py)
- bin/a2a_delegate.py (CLI)
- config/ (agent_card.example.yaml, fleet_agents.json)
- docs/A2A_PROTOCOL.md
- tests/test_a2a.py (37 tests, all passing)
2026-04-13 18:31:05 -04:00

58 lines
1.4 KiB
YAML

# A2A Agent Card Configuration
# Copy this to ~/.hermes/agent_card.yaml and customize.
#
# This file drives the agent card served at /.well-known/agent-card.json
# and used for fleet discovery.
name: "timmy"
description: "Sovereign AI agent — consciousness, perception, and reasoning"
version: "1.0.0"
# Network endpoint where this agent receives A2A tasks
url: "http://localhost:8080/a2a/v1"
protocol_binding: "HTTP+JSON"
# Supported input/output MIME types
default_input_modes:
- "text/plain"
- "application/json"
default_output_modes:
- "text/plain"
- "application/json"
# Capabilities
streaming: false
push_notifications: false
# Skills this agent advertises
skills:
- id: "reason"
name: "Reason and Analyze"
description: "Deep reasoning and analysis tasks"
tags: ["reasoning", "analysis", "think"]
- id: "code"
name: "Code Generation"
description: "Write, review, and debug code"
tags: ["code", "programming", "debug"]
- id: "research"
name: "Research"
description: "Web research and information synthesis"
tags: ["research", "web", "synthesis"]
- id: "memory"
name: "Memory Query"
description: "Query agent memory and past sessions"
tags: ["memory", "recall", "context"]
# Authentication
# Options: bearer, api_key, none
auth:
scheme: "bearer"
token_env: "A2A_AUTH_TOKEN" # env var containing the token
# scheme: "api_key"
# key_name: "X-API-Key"
# key_env: "A2A_API_KEY"