- Fix streaming to work even when tools are present (was forcing JSON mode)
- Fix response format: use empty list [] instead of null for tool_calls
- Add exclude_none config to ChatMessage model to match OpenAI format
- Remove tool instructions from prompt (were confusing 3B model)
- Fix tool call parsing to handle markdown code blocks properly
- Change default instances from 3 to 1 for faster debugging
- Allow 1 instance minimum in interactive config (was 2 on Mac)
- Add debug logging to track requests and responses
Fixes infinite loop issue where opencode would retry requests repeatedly
- Add Tool, ToolCall, FunctionDefinition models
- Format prompts with tool descriptions for Qwen models
- Parse tool calls from model output (JSON and function call patterns)
- Auto-disable streaming when tools are present
- Return tool_calls in API response with proper finish_reason
- Support both simple function calls and JSON tool_calls format
* Update PLAN.md with new phases
- Add Phase 5: CLI & Interactive Interface
- Interactive menu system with 3 options
- Hardware display with detailed specs
- Resource usage monitoring
- Custom configuration wizard
- Add Phase 5.5: MCP Server
- MCP protocol implementation
- 5 MCP tools for AI assistants
- Dual server mode (HTTP + MCP)
- Reorganize phase structure for clarity
* Phase 6: Implement network federation (WIP)
Add src/network/discovery.py:
- SwarmDiscovery class using mDNS/Bonjour
- PeerInfo dataclass for peer metadata
- Automatic peer discovery on local network
- Service advertising for this swarm
- Stale peer detection and cleanup
Add src/network/federation.py:
- FederationClient for HTTP communication with peers
- FederatedSwarm for managing cross-swarm consensus
- Two-phase voting: local consensus then peer voting
- Weighted voting strategy based on confidence
- Federation status monitoring
- Peer health checking
Add src/network/__init__.py:
- Export network classes
Update src/api/routes.py:
- POST /v1/federation/vote - Receive votes from peers
- GET /v1/federation/status - Get federation status
- GET /v1/federation/peers - List discovered peers
Update requirements.txt:
- Add zeroconf for mDNS discovery
Features:
- Auto-discovery of other Local Swarm instances
- Cross-swarm consensus voting
- Configurable minimum peer requirements
- Fallback to local-only if no peers available
- Peer health monitoring
TODO:
- Integrate federation into main.py
- Add --federation flag
- Test multi-machine setup
Add src/api/models.py:
- Pydantic models for OpenAI API compatibility
- ChatCompletionRequest/Response models
- Streaming response models (SSE format)
- Model listing and health check models
Add src/api/routes.py:
- POST /v1/chat/completions endpoint
- GET /v1/models endpoint
- GET /health and /v1/health endpoints
- Support for streaming (text/event-stream) and regular responses
- Message formatting for chat prompts
- Error handling with proper HTTP status codes
Add src/api/server.py:
- FastAPI application with CORS middleware
- Lifespan context for startup/shutdown
- Integration with SwarmManager
- Uvicorn server configuration
Update src/api/__init__.py:
- Export API classes and functions
Update main.py:
- Integrate API server into default workflow
- Start API server on http://127.0.0.1:PORT
- Show API endpoints and opencode configuration
- Graceful shutdown on Ctrl+C
Update AGENTS.md:
- Add note about Python support in MCP server
Phase 4 complete: Local Swarm now exposes OpenAI-compatible API at:
- POST /v1/chat/completions (with streaming support)
- GET /v1/models
- GET /health
Ready for use with opencode and other OpenAI-compatible clients.
sleepy