forked from Rockachopa/Timmy-time-dashboard
Phase 3: Cascade LLM Router with automatic failover
- YAML-based provider configuration (config/providers.yaml)
- Priority-ordered provider routing
- Circuit breaker pattern for failing providers
- Health check and availability monitoring
- Metrics tracking (latency, errors, success rates)
- Support for Ollama, OpenAI, Anthropic, AirLLM providers
- Automatic failover on rate limits or errors
- REST API endpoints for monitoring and control
- 41 comprehensive tests
API Endpoints:
- POST /api/v1/router/complete - Chat completion with failover
- GET /api/v1/router/status - Provider health status
- GET /api/v1/router/metrics - Detailed metrics
- GET /api/v1/router/providers - List all providers
- POST /api/v1/router/providers/{name}/control - Enable/disable/reset
- POST /api/v1/router/health-check - Run health checks
- GET /api/v1/router/config - View configuration
This commit is contained in:
Alexander Payne
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IMPLEMENTATION_SUMMARY.md
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IMPLEMENTATION_SUMMARY.md
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# Timmy Time — Implementation Summary
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**Date:** 2026-02-25
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**Phase:** 1, 2 Complete (MCP, Event Bus, Agents)
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**Status:** ✅ Ready for Phase 3 (Cascade Router)
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---
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## What Was Built
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### 1. MCP (Model Context Protocol) ✅
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**Location:** `src/mcp/`
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| Component | Purpose | Status |
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|-----------|---------|--------|
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| Registry | Tool catalog with health tracking | ✅ Complete |
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| Server | MCP protocol implementation | ✅ Complete |
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| Schemas | JSON schema utilities | ✅ Complete |
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| Bootstrap | Auto-load all tools | ✅ Complete |
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**Features:**
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- 6 tools registered with full schemas
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- Health tracking (healthy/degraded/unhealthy)
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- Metrics collection (latency, error rates)
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- Pattern-based discovery
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- `@register_tool` decorator
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**Tools Implemented:**
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```python
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web_search # DuckDuckGo search
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read_file # File reading
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write_file # File writing (with confirmation)
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list_directory # Directory listing
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python # Python execution
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memory_search # Vector memory search
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```
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### 2. Event Bus ✅
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**Location:** `src/events/bus.py`
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**Features:**
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- Async publish/subscribe
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- Wildcard pattern matching (`agent.task.*`)
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- Event history (last 1000 events)
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- Concurrent handler execution
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- System-wide singleton
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**Usage:**
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```python
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from events.bus import event_bus, Event
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@event_bus.subscribe("agent.task.*")
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async def handle_task(event):
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print(f"Task: {event.data}")
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await event_bus.publish(Event(
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type="agent.task.assigned",
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source="timmy",
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data={"task_id": "123"}
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))
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```
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### 3. Sub-Agents ✅
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**Location:** `src/agents/`
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| Agent | ID | Role | Key Tools |
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|-------|-----|------|-----------|
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| Seer | seer | Research | web_search, read_file, memory_search |
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| Forge | forge | Code | python, write_file, read_file |
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| Quill | quill | Writing | write_file, read_file, memory_search |
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| Echo | echo | Memory | memory_search, read_file, write_file |
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| Helm | helm | Routing | memory_search |
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| Timmy | timmy | Orchestrator | All tools |
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**BaseAgent Features:**
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- Agno Agent integration
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- MCP tool registry access
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- Event bus connectivity
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- Structured logging
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- Task execution framework
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**Orchestrator Logic:**
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```python
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timmy = create_timmy_swarm()
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# Automatic routing:
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# - Simple questions → Direct response
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# - "Remember..." → Echo agent
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# - Complex tasks → Helm routes to specialist
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```
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### 4. Memory System (Previously Complete) ✅
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**Three-Tier Architecture:**
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```
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Tier 1: Hot Memory (MEMORY.md)
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↓ Always loaded
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Tier 2: Vault (memory/)
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├── self/identity.md
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├── self/user_profile.md
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├── self/methodology.md
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├── notes/*.md
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└── aar/*.md
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Tier 3: Semantic Search
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└── Vector embeddings over vault
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```
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**Handoff Protocol:**
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- `last-session-handoff.md` written at session end
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- Auto-loaded at next session start
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---
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## Architecture Diagram
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```
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┌─────────────────────────────────────────────────────────────┐
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│ USER INTERFACE │
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│ (Dashboard/CLI) │
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└──────────────────────────┬──────────────────────────────────┘
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│
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┌──────────────────────────▼──────────────────────────────────┐
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│ TIMMY ORCHESTRATOR │
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│ │
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│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
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│ │ Request │ │ Router │ │ Response │ │
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│ │ Analysis │→ │ (Helm) │→ │ Synthesis │ │
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│ └─────────────┘ └─────────────┘ └─────────────┘ │
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│ │
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└──────────────────────────┬──────────────────────────────────┘
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│
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┌──────────────────┼──────────────────┐
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│ │ │
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┌───────▼──────┐ ┌───────▼──────┐ ┌───────▼──────┐
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│ Seer │ │ Forge │ │ Quill │
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│ (Research) │ │ (Code) │ │ (Writing) │
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└──────────────┘ └──────────────┘ └──────────────┘
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│
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┌───────▼──────┐ ┌───────▼──────┐
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│ Echo │ │ Helm │
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│ (Memory) │ │ (Routing) │
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└──────────────┘ └──────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────┐
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│ MCP TOOL REGISTRY │
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│ │
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│ web_search read_file write_file list_directory │
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│ python memory_search │
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│ │
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└──────────────────────────┬──────────────────────────────────┘
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│
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┌──────────────────────────▼──────────────────────────────────┐
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│ EVENT BUS │
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│ (Async pub/sub, wildcard patterns) │
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└──────────────────────────┬──────────────────────────────────┘
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│
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┌──────────────────────────▼──────────────────────────────────┐
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│ MEMORY SYSTEM │
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│ │
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│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
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│ │ Hot │ │ Vault │ │ Semantic │ │
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│ │ MEMORY │ │ Files │ │ Search │ │
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│ └──────────┘ └──────────┘ └──────────┘ │
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│ │
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└─────────────────────────────────────────────────────────────┘
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```
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---
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## Testing Results
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```
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All 973 tests pass ✅
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Manual verification:
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- MCP Bootstrap: ✅ 6 tools loaded
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- Tool Registry: ✅ web_search, file_ops, etc.
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- Event Bus: ✅ Events published/subscribed
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- Agent Imports: ✅ All agents loadable
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```
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---
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## Files Created
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```
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src/
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├── mcp/
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│ ├── __init__.py
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│ ├── bootstrap.py # Auto-load tools
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│ ├── registry.py # Tool catalog
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│ ├── server.py # MCP protocol
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│ └── schemas/
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│ └── base.py # Schema utilities
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│
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├── tools/
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│ ├── web_search.py # DuckDuckGo search
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│ ├── file_ops.py # File operations
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│ ├── code_exec.py # Python execution
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│ └── memory_tool.py # Memory search
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│
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├── events/
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│ └── bus.py # Event bus
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│
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└── agents/
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├── __init__.py
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├── base.py # Base agent class
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├── timmy.py # Orchestrator
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├── seer.py # Research
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├── forge.py # Code
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├── quill.py # Writing
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├── echo.py # Memory
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└── helm.py # Routing
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MEMORY.md # Hot memory
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memory/ # Vault structure
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```
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---
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## Usage Example
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```python
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from agents import create_timmy_swarm
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# Create fully configured Timmy
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timmy = create_timmy_swarm()
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# Simple chat (handles directly)
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response = await timmy.orchestrate("What is your name?")
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# Research (routes to Seer)
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response = await timmy.orchestrate("Search for Bitcoin news")
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# Code (routes to Forge)
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response = await timmy.orchestrate("Write a Python script to...")
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# Memory (routes to Echo)
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response = await timmy.orchestrate("What did we discuss yesterday?")
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```
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---
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## Next: Phase 3 (Cascade Router)
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To complete the brief, implement:
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### 1. Cascade LLM Router
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```yaml
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# config/providers.yaml
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providers:
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- name: ollama-local
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type: ollama
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url: http://localhost:11434
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priority: 1
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models: [llama3.2, deepseek-r1]
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- name: openai-backup
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type: openai
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api_key: ${OPENAI_API_KEY}
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priority: 2
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models: [gpt-4o-mini]
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```
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Features:
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- Priority-ordered fallback
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- Latency/error tracking
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- Cost accounting
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- Health checks
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### 2. Self-Upgrade Loop
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- Detect failures from logs
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- Propose fixes via Forge
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- Present to user for approval
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- Apply changes with rollback
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### 3. Dashboard Integration
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- Tool registry browser
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- Agent activity feed
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- Memory browser
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- Upgrade queue
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---
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## Success Criteria Status
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| Criteria | Status |
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|----------|--------|
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| Start with `python main.py` | 🟡 Need entry point |
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| Dashboard at localhost | ✅ Exists |
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| Timmy responds to questions | ✅ Working |
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| Routes to sub-agents | ✅ Implemented |
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| MCP tool discovery | ✅ Working |
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| LLM failover | 🟡 Phase 3 |
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| Search memory | ✅ Working |
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| Self-upgrade proposals | 🟡 Phase 3 |
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| Lightning payments | ✅ Mock exists |
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---
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## Key Achievements
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1. ✅ **MCP Protocol** — Full implementation with schemas, registry, server
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2. ✅ **6 Production Tools** — All with error handling and health tracking
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3. ✅ **Event Bus** — Async pub/sub for agent communication
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4. ✅ **6 Agents** — Full roster with specialized roles
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5. ✅ **Orchestrator** — Intelligent routing logic
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6. ✅ **Memory System** — Three-tier architecture
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7. ✅ **All Tests Pass** — No regressions
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---
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## Ready for Phase 3
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The foundation is solid. Next steps:
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1. Cascade Router for LLM failover
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2. Self-upgrade loop
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3. Enhanced dashboard views
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4. Production hardening
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