docs: Add Phase 3 coordination and infrastructure documentation

Comprehensive documentation for coordination, messaging, discovery, and internal systems.

Core Coordination Packages:
- pkg/election - Democratic leader election (uptime-based, heartbeat mechanism, SLURP integration)
- pkg/coordination - Meta-coordination with dependency detection (4 built-in rules)
- coordinator/ - Task orchestration and assignment (AI-powered scoring)
- discovery/ - mDNS peer discovery (automatic LAN detection)

Messaging & P2P Infrastructure:
- pubsub/ - GossipSub messaging (31 message types, role-based topics, HMMM integration)
- p2p/ - libp2p networking (DHT modes, connection management, security)

Monitoring & Health:
- pkg/metrics - Prometheus metrics (80+ metrics across 12 categories)
- pkg/health - Health monitoring (4 HTTP endpoints, enhanced checks, graceful degradation)

Internal Systems:
- internal/licensing - License validation (KACHING integration, cluster leases, fail-closed)
- internal/hapui - Human Agent Portal UI (9 commands, HMMM wizard, UCXL browser, decision voting)
- internal/backbeat - P2P operation telemetry (6 phases, beat synchronization, health reporting)

Documentation Statistics (Phase 3):
- 10 packages documented (~18,000 lines)
- 31 PubSub message types cataloged
- 80+ Prometheus metrics documented
- Complete API references with examples
- Integration patterns and best practices

Key Features Documented:
- Election: 5 triggers, candidate scoring (5 weighted components), stability windows
- Coordination: AI-powered dependency detection, cross-repo sessions, escalation handling
- PubSub: Topic patterns, message envelopes, SHHH redaction, Hypercore logging
- Metrics: All metric types with labels, Prometheus scrape config, alert rules
- Health: Liveness vs readiness, critical checks, Kubernetes integration
- Licensing: Grace periods, circuit breaker, cluster lease management
- HAP UI: Interactive terminal commands, HMMM composition wizard, web interface (beta)
- BACKBEAT: 6-phase operation tracking, beat budget estimation, drift detection

Implementation Status Marked:
-  Production: Election, metrics, health, licensing, pubsub, p2p, discovery, coordinator
- 🔶 Beta: HAP web interface, BACKBEAT telemetry, advanced coordination
- 🔷 Alpha: SLURP election scoring
- ⚠️ Experimental: Meta-coordination, AI-powered dependency detection

Progress: 22/62 files complete (35%)

Next Phase: AI providers, SLURP system, API layer, reasoning engine

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
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# Package: pkg/coordination
**Location**: `/home/tony/chorus/project-queues/active/CHORUS/pkg/coordination/`
## Overview
The `pkg/coordination` package provides **advanced cross-repository coordination primitives** for managing complex task dependencies and multi-agent collaboration in CHORUS. It includes AI-powered dependency detection, meta-coordination sessions, and automated escalation handling to enable sophisticated distributed development workflows.
## Architecture
### Coordination Layers
```
┌─────────────────────────────────────────────────┐
│ MetaCoordinator │
│ - Session management │
│ - AI-powered coordination planning │
│ - Escalation handling │
│ - SLURP integration │
└─────────────────┬───────────────────────────────┘
┌─────────────────▼───────────────────────────────┐
│ DependencyDetector │
│ - Cross-repo dependency detection │
│ - Rule-based pattern matching │
│ - Relationship analysis │
└─────────────────┬───────────────────────────────┘
┌─────────────────▼───────────────────────────────┐
│ PubSub (HMMM Meta-Discussion) │
│ - Coordination messages │
│ - Session broadcasts │
│ - Escalation notifications │
└─────────────────────────────────────────────────┘
```
## Core Components
### MetaCoordinator
Manages advanced cross-repository coordination and multi-agent collaboration sessions.
```go
type MetaCoordinator struct {
pubsub *pubsub.PubSub
ctx context.Context
dependencyDetector *DependencyDetector
slurpIntegrator *integration.SlurpEventIntegrator
// Active coordination sessions
activeSessions map[string]*CoordinationSession
sessionLock sync.RWMutex
// Configuration
maxSessionDuration time.Duration // Default: 30 minutes
maxParticipants int // Default: 5
escalationThreshold int // Default: 10 messages
}
```
**Key Responsibilities:**
- Create and manage coordination sessions
- Generate AI-powered coordination plans
- Monitor session progress and health
- Escalate to humans when needed
- Generate SLURP events from coordination outcomes
- Integrate with HMMM for meta-discussion
### DependencyDetector
Analyzes tasks across repositories to detect relationships and dependencies.
```go
type DependencyDetector struct {
pubsub *pubsub.PubSub
ctx context.Context
knownTasks map[string]*TaskContext
dependencyRules []DependencyRule
coordinationHops int // Default: 3
}
```
**Key Responsibilities:**
- Track tasks across multiple repositories
- Apply pattern-based dependency detection rules
- Identify task relationships (API contracts, schema changes, etc.)
- Broadcast dependency alerts
- Trigger coordination sessions
### CoordinationSession
Represents an active multi-agent coordination session.
```go
type CoordinationSession struct {
SessionID string
Type string // dependency, conflict, planning
Participants map[string]*Participant
TasksInvolved []*TaskContext
Messages []CoordinationMessage
Status string // active, resolved, escalated
CreatedAt time.Time
LastActivity time.Time
Resolution string
EscalationReason string
}
```
**Session Types:**
- **dependency**: Coordinating dependent tasks across repos
- **conflict**: Resolving conflicts or competing changes
- **planning**: Joint planning for complex multi-repo features
**Session States:**
- **active**: Session in progress
- **resolved**: Consensus reached, coordination complete
- **escalated**: Requires human intervention
## Data Structures
### TaskContext
Represents a task with its repository and project context for dependency analysis.
```go
type TaskContext struct {
TaskID int
ProjectID int
Repository string
Title string
Description string
Keywords []string
AgentID string
ClaimedAt time.Time
}
```
### Participant
Represents an agent participating in a coordination session.
```go
type Participant struct {
AgentID string
PeerID string
Repository string
Capabilities []string
LastSeen time.Time
Active bool
}
```
### CoordinationMessage
A message within a coordination session.
```go
type CoordinationMessage struct {
MessageID string
FromAgentID string
FromPeerID string
Content string
MessageType string // proposal, question, agreement, concern
Timestamp time.Time
Metadata map[string]interface{}
}
```
**Message Types:**
- **proposal**: Proposed solution or approach
- **question**: Request for clarification
- **agreement**: Agreement with proposal
- **concern**: Concern or objection
### TaskDependency
Represents a detected relationship between tasks.
```go
type TaskDependency struct {
Task1 *TaskContext
Task2 *TaskContext
Relationship string // Rule name (e.g., "API_Contract")
Confidence float64 // 0.0 - 1.0
Reason string // Human-readable explanation
DetectedAt time.Time
}
```
### DependencyRule
Defines how to detect task relationships.
```go
type DependencyRule struct {
Name string
Description string
Keywords []string
Validator func(task1, task2 *TaskContext) (bool, string)
}
```
## Dependency Detection
### Built-in Detection Rules
#### 1. API Contract Rule
Detects dependencies between API definitions and implementations.
```go
{
Name: "API_Contract",
Description: "Tasks involving API contracts and implementations",
Keywords: []string{"api", "endpoint", "contract", "interface", "schema"},
Validator: func(task1, task2 *TaskContext) (bool, string) {
text1 := strings.ToLower(task1.Title + " " + task1.Description)
text2 := strings.ToLower(task2.Title + " " + task2.Description)
if (strings.Contains(text1, "api") && strings.Contains(text2, "implement")) ||
(strings.Contains(text2, "api") && strings.Contains(text1, "implement")) {
return true, "API definition and implementation dependency"
}
return false, ""
},
}
```
**Example Detection:**
- Task 1: "Define user authentication API"
- Task 2: "Implement authentication endpoint"
- **Detected**: API_Contract dependency
#### 2. Database Schema Rule
Detects schema changes affecting multiple services.
```go
{
Name: "Database_Schema",
Description: "Database schema changes affecting multiple services",
Keywords: []string{"database", "schema", "migration", "table", "model"},
Validator: func(task1, task2 *TaskContext) (bool, string) {
// Checks for database-related keywords in both tasks
// Returns true if both tasks involve database work
},
}
```
**Example Detection:**
- Task 1: "Add user preferences table"
- Task 2: "Update user service for preferences"
- **Detected**: Database_Schema dependency
#### 3. Configuration Dependency Rule
Detects configuration changes affecting multiple components.
```go
{
Name: "Configuration_Dependency",
Description: "Configuration changes affecting multiple components",
Keywords: []string{"config", "environment", "settings", "parameters"},
}
```
**Example Detection:**
- Task 1: "Add feature flag for new UI"
- Task 2: "Implement feature flag checks in backend"
- **Detected**: Configuration_Dependency
#### 4. Security Compliance Rule
Detects security changes requiring coordinated implementation.
```go
{
Name: "Security_Compliance",
Description: "Security changes requiring coordinated implementation",
Keywords: []string{"security", "auth", "permission", "token", "encrypt"},
}
```
**Example Detection:**
- Task 1: "Implement JWT token refresh"
- Task 2: "Update authentication middleware"
- **Detected**: Security_Compliance dependency
### Custom Rules
Add project-specific dependency detection:
```go
customRule := DependencyRule{
Name: "GraphQL_Schema",
Description: "GraphQL schema and resolver dependencies",
Keywords: []string{"graphql", "schema", "resolver", "query", "mutation"},
Validator: func(task1, task2 *TaskContext) (bool, string) {
text1 := strings.ToLower(task1.Title + " " + task1.Description)
text2 := strings.ToLower(task2.Title + " " + task2.Description)
hasSchema := strings.Contains(text1, "schema") || strings.Contains(text2, "schema")
hasResolver := strings.Contains(text1, "resolver") || strings.Contains(text2, "resolver")
if hasSchema && hasResolver {
return true, "GraphQL schema and resolver must be coordinated"
}
return false, ""
},
}
dependencyDetector.AddCustomRule(customRule)
```
## Coordination Flow
### 1. Task Registration and Detection
```
Task Claimed by Agent A → RegisterTask() → DependencyDetector
detectDependencies()
Apply all dependency rules to known tasks
Dependency detected? → Yes → announceDependency()
↓ ↓
No MetaCoordinator
```
### 2. Dependency Announcement
```go
// Dependency detector announces to HMMM meta-discussion
coordMsg := map[string]interface{}{
"message_type": "dependency_detected",
"dependency": dep,
"coordination_request": "Cross-repository dependency detected...",
"agents_involved": [agentA, agentB],
"repositories": [repoA, repoB],
"hop_count": 0,
"max_hops": 3,
}
pubsub.PublishHmmmMessage(MetaDiscussion, coordMsg)
```
### 3. Session Creation
```
MetaCoordinator receives dependency_detected message
handleDependencyDetection()
Create CoordinationSession
Add participating agents
Generate AI coordination plan
Broadcast plan to participants
```
### 4. AI-Powered Coordination Planning
```go
prompt := `
You are an expert AI project coordinator managing a distributed development team.
SITUATION:
- A dependency has been detected between two tasks in different repositories
- Task 1: repo1/title #42 (Agent: agent-001)
- Task 2: repo2/title #43 (Agent: agent-002)
- Relationship: API_Contract
- Reason: API definition and implementation dependency
COORDINATION REQUIRED:
Generate a concise coordination plan that addresses:
1. What specific coordination is needed between the agents
2. What order should tasks be completed in (if any)
3. What information/artifacts need to be shared
4. What potential conflicts to watch for
5. Success criteria for coordinated completion
`
plan := reasoning.GenerateResponse(ctx, "phi3", prompt)
```
**Plan Output Example:**
```
COORDINATION PLAN:
1. SEQUENCE:
- Task 1 (API definition) must be completed first
- Task 2 (implementation) depends on finalized API contract
2. INFORMATION SHARING:
- Agent-001 must share: API specification document, endpoint definitions
- Agent-002 must share: Implementation plan, integration tests
3. COORDINATION POINTS:
- Review API spec before implementation begins
- Daily sync on implementation progress
- Joint testing before completion
4. POTENTIAL CONFLICTS:
- API spec changes during implementation
- Performance requirements not captured in spec
- Authentication/authorization approach
5. SUCCESS CRITERIA:
- API spec reviewed and approved
- Implementation matches spec
- Integration tests pass
- Documentation complete
```
### 5. Session Progress Monitoring
```
Agents respond to coordination plan
handleCoordinationResponse()
Add message to session
Update participant activity
evaluateSessionProgress()
┌──────────────────────┐
│ Check conditions: │
│ - Message count │
│ - Session duration │
│ - Agreement keywords │
└──────┬───────────────┘
┌──────▼──────┬──────────────┐
│ │ │
Consensus? Too long? Too many msgs?
│ │ │
Resolved Escalate Escalate
```
### 6. Session Resolution
**Consensus Reached:**
```go
// Detect agreement in recent messages
agreementKeywords := []string{
"agree", "sounds good", "approved", "looks good", "confirmed"
}
if agreementCount >= len(participants)-1 {
resolveSession(session, "Consensus reached among participants")
}
```
**Session Resolved:**
1. Update session status to "resolved"
2. Record resolution reason
3. Generate SLURP event (if integrator available)
4. Broadcast resolution to participants
5. Clean up after timeout
### 7. Session Escalation
**Escalation Triggers:**
- Message count exceeds threshold (default: 10)
- Session duration exceeds limit (default: 30 minutes)
- Explicit escalation request from agent
**Escalation Process:**
```go
escalateSession(session, reason)
Update status to "escalated"
Generate SLURP event for human review
Broadcast escalation notification
Human intervention required
```
## SLURP Integration
### Event Generation from Sessions
When sessions are resolved or escalated, the MetaCoordinator generates SLURP events:
```go
discussionContext := integration.HmmmDiscussionContext{
DiscussionID: session.SessionID,
SessionID: session.SessionID,
Participants: [agentIDs],
StartTime: session.CreatedAt,
EndTime: session.LastActivity,
Messages: hmmmMessages,
ConsensusReached: (outcome == "resolved"),
ConsensusStrength: 0.9, // 0.3 for escalated, 0.5 for other
OutcomeType: outcome, // "resolved" or "escalated"
ProjectPath: projectPath,
RelatedTasks: [taskIDs],
Metadata: {
"session_type": session.Type,
"session_status": session.Status,
"resolution": session.Resolution,
"escalation_reason": session.EscalationReason,
"message_count": len(session.Messages),
"participant_count": len(session.Participants),
},
}
slurpIntegrator.ProcessHmmmDiscussion(ctx, discussionContext)
```
**SLURP Event Outcomes:**
- **Resolved sessions**: High consensus (0.9), successful coordination
- **Escalated sessions**: Low consensus (0.3), human intervention needed
- **Other outcomes**: Medium consensus (0.5)
### Policy Learning
SLURP uses coordination session data to learn:
- Effective coordination patterns
- Common dependency types
- Escalation triggers
- Agent collaboration efficiency
- Task complexity indicators
## PubSub Message Types
### 1. dependency_detected
Announces a detected dependency between tasks.
```json
{
"message_type": "dependency_detected",
"dependency": {
"task1": {
"task_id": 42,
"project_id": 1,
"repository": "backend-api",
"title": "Define user authentication API",
"agent_id": "agent-001"
},
"task2": {
"task_id": 43,
"project_id": 2,
"repository": "frontend-app",
"title": "Implement login page",
"agent_id": "agent-002"
},
"relationship": "API_Contract",
"confidence": 0.8,
"reason": "API definition and implementation dependency",
"detected_at": "2025-09-30T10:00:00Z"
},
"coordination_request": "Cross-repository dependency detected...",
"agents_involved": ["agent-001", "agent-002"],
"repositories": ["backend-api", "frontend-app"],
"hop_count": 0,
"max_hops": 3
}
```
### 2. coordination_plan
Broadcasts AI-generated coordination plan to participants.
```json
{
"message_type": "coordination_plan",
"session_id": "dep_1_42_1727692800",
"plan": "COORDINATION PLAN:\n1. SEQUENCE:\n...",
"tasks_involved": [taskContext1, taskContext2],
"participants": {
"agent-001": { "agent_id": "agent-001", "repository": "backend-api" },
"agent-002": { "agent_id": "agent-002", "repository": "frontend-app" }
},
"message": "Coordination plan generated for dependency: API_Contract"
}
```
### 3. coordination_response
Agent response to coordination plan or session message.
```json
{
"message_type": "coordination_response",
"session_id": "dep_1_42_1727692800",
"agent_id": "agent-001",
"response": "I agree with the proposed sequence. API spec will be ready by EOD.",
"timestamp": "2025-09-30T10:05:00Z"
}
```
### 4. session_message
General message within a coordination session.
```json
{
"message_type": "session_message",
"session_id": "dep_1_42_1727692800",
"from_agent": "agent-002",
"content": "Can we schedule a quick sync to review the API spec?",
"timestamp": "2025-09-30T10:10:00Z"
}
```
### 5. escalation
Session escalated to human intervention.
```json
{
"message_type": "escalation",
"session_id": "dep_1_42_1727692800",
"escalation_reason": "Message limit exceeded - human intervention needed",
"session_summary": "Session dep_1_42_1727692800 (dependency): 2 participants, 12 messages, duration 35m",
"participants": { /* participant info */ },
"tasks_involved": [ /* task contexts */ ],
"requires_human": true
}
```
### 6. resolution
Session successfully resolved.
```json
{
"message_type": "resolution",
"session_id": "dep_1_42_1727692800",
"resolution": "Consensus reached among participants",
"summary": "Session dep_1_42_1727692800 (dependency): 2 participants, 8 messages, duration 15m"
}
```
## Usage Examples
### Basic Setup
```go
import (
"context"
"chorus/pkg/coordination"
"chorus/pubsub"
)
// Create MetaCoordinator
mc := coordination.NewMetaCoordinator(ctx, pubsubInstance)
// Optionally attach SLURP integrator
mc.SetSlurpIntegrator(slurpIntegrator)
// MetaCoordinator automatically:
// - Initializes DependencyDetector
// - Sets up HMMM message handlers
// - Starts session cleanup loop
```
### Register Tasks for Dependency Detection
```go
// Agent claims a task
taskContext := &coordination.TaskContext{
TaskID: 42,
ProjectID: 1,
Repository: "backend-api",
Title: "Define user authentication API",
Description: "Create OpenAPI spec for user auth endpoints",
Keywords: []string{"api", "authentication", "openapi"},
AgentID: "agent-001",
ClaimedAt: time.Now(),
}
mc.dependencyDetector.RegisterTask(taskContext)
```
### Add Custom Dependency Rule
```go
// Add project-specific rule
microserviceRule := coordination.DependencyRule{
Name: "Microservice_Interface",
Description: "Microservice interface and consumer dependencies",
Keywords: []string{"microservice", "interface", "consumer", "producer"},
Validator: func(task1, task2 *coordination.TaskContext) (bool, string) {
t1 := strings.ToLower(task1.Title + " " + task1.Description)
t2 := strings.ToLower(task2.Title + " " + task2.Description)
hasProducer := strings.Contains(t1, "producer") || strings.Contains(t2, "producer")
hasConsumer := strings.Contains(t1, "consumer") || strings.Contains(t2, "consumer")
if hasProducer && hasConsumer {
return true, "Microservice producer and consumer must coordinate"
}
return false, ""
},
}
mc.dependencyDetector.AddCustomRule(microserviceRule)
```
### Query Active Sessions
```go
// Get all active coordination sessions
sessions := mc.GetActiveSessions()
for sessionID, session := range sessions {
fmt.Printf("Session %s:\n", sessionID)
fmt.Printf(" Type: %s\n", session.Type)
fmt.Printf(" Status: %s\n", session.Status)
fmt.Printf(" Participants: %d\n", len(session.Participants))
fmt.Printf(" Messages: %d\n", len(session.Messages))
fmt.Printf(" Duration: %v\n", time.Since(session.CreatedAt))
}
```
### Monitor Coordination Events
```go
// Set custom HMMM message handler
pubsub.SetHmmmMessageHandler(func(msg pubsub.Message, from peer.ID) {
switch msg.Data["message_type"] {
case "dependency_detected":
fmt.Printf("🔗 Dependency detected: %v\n", msg.Data)
case "coordination_plan":
fmt.Printf("📋 Coordination plan: %v\n", msg.Data)
case "escalation":
fmt.Printf("🚨 Escalation: %v\n", msg.Data)
case "resolution":
fmt.Printf("✅ Resolution: %v\n", msg.Data)
}
})
```
## Configuration
### MetaCoordinator Configuration
```go
mc := coordination.NewMetaCoordinator(ctx, ps)
// Adjust session parameters
mc.maxSessionDuration = 45 * time.Minute // Extend session timeout
mc.maxParticipants = 10 // Support larger teams
mc.escalationThreshold = 15 // More messages before escalation
```
### DependencyDetector Configuration
```go
dd := mc.dependencyDetector
// Adjust coordination hop limit
dd.coordinationHops = 5 // Allow deeper meta-discussion chains
```
## Session Lifecycle Management
### Automatic Cleanup
Sessions are automatically cleaned up by the session cleanup loop:
```go
// Runs every 10 minutes
func (mc *MetaCoordinator) cleanupInactiveSessions() {
for sessionID, session := range mc.activeSessions {
// Remove sessions older than 2 hours OR already resolved/escalated
if time.Since(session.LastActivity) > 2*time.Hour ||
session.Status == "resolved" ||
session.Status == "escalated" {
delete(mc.activeSessions, sessionID)
}
}
}
```
**Cleanup Criteria:**
- Session inactive for 2+ hours
- Session status is "resolved"
- Session status is "escalated"
### Manual Session Management
```go
// Not exposed in current API, but could be added:
// Force resolve session
mc.resolveSession(session, "Manual resolution by admin")
// Force escalate session
mc.escalateSession(session, "Manual escalation requested")
// Cancel/close session
mc.closeSession(sessionID)
```
## Performance Considerations
### Memory Usage
- **TaskContext Storage**: ~500 bytes per task
- **Active Sessions**: ~5KB per session (varies with message count)
- **Dependency Rules**: ~1KB per rule
**Typical Usage**: 100 tasks + 10 sessions = ~100KB
### CPU Usage
- **Dependency Detection**: O(N²) where N = number of tasks per repository
- **Rule Evaluation**: O(R) where R = number of rules
- **Session Monitoring**: Periodic evaluation (every message received)
**Optimization**: Dependency detection skips same-repository comparisons.
### Network Usage
- **Dependency Announcements**: ~2KB per dependency
- **Coordination Plans**: ~5KB per plan (includes full context)
- **Session Messages**: ~1KB per message
- **SLURP Events**: ~10KB per event (includes full session history)
## Best Practices
### 1. Rule Design
**Good Rule:**
```go
// Specific, actionable, clear success criteria
{
Name: "Database_Migration",
Keywords: []string{"migration", "schema", "database"},
Validator: func(t1, t2 *TaskContext) (bool, string) {
// Clear matching logic
// Specific reason returned
},
}
```
**Bad Rule:**
```go
// Too broad, unclear coordination needed
{
Name: "Backend_Tasks",
Keywords: []string{"backend"},
Validator: func(t1, t2 *TaskContext) (bool, string) {
return strings.Contains(t1.Title, "backend") &&
strings.Contains(t2.Title, "backend"), "Both backend tasks"
},
}
```
### 2. Session Participation
- **Respond promptly**: Keep sessions moving
- **Be explicit**: Use clear agreement/disagreement language
- **Stay focused**: Don't derail session with unrelated topics
- **Escalate when stuck**: Don't let sessions drag on indefinitely
### 3. AI Plan Quality
AI plans are most effective when:
- Task descriptions are detailed
- Dependencies are clear
- Agent capabilities are well-defined
- Historical context is available
### 4. SLURP Integration
For best SLURP learning:
- Enable SLURP integrator at startup
- Ensure all sessions generate events (resolved or escalated)
- Provide rich task metadata
- Include project context in task descriptions
## Troubleshooting
### Dependencies Not Detected
**Symptoms**: Related tasks not triggering coordination.
**Checks:**
1. Verify tasks registered with detector: `dd.GetKnownTasks()`
2. Check rule keywords match task content
3. Test validator logic with task pairs
4. Verify tasks are from different repositories
5. Check PubSub connection for announcements
### Sessions Not Escalating
**Symptoms**: Long-running sessions without escalation.
**Checks:**
1. Verify escalation threshold: `mc.escalationThreshold`
2. Check session duration limit: `mc.maxSessionDuration`
3. Verify message count in session
4. Check for agreement keywords in messages
5. Test escalation logic manually
### AI Plans Not Generated
**Symptoms**: Sessions created but no coordination plan.
**Checks:**
1. Verify reasoning engine available: `reasoning.GenerateResponse()`
2. Check AI model configuration
3. Verify network connectivity to AI provider
4. Check reasoning engine error logs
5. Test with simpler dependency
### SLURP Events Not Generated
**Symptoms**: Sessions complete but no SLURP events.
**Checks:**
1. Verify SLURP integrator attached: `mc.SetSlurpIntegrator()`
2. Check SLURP integrator initialization
3. Verify session outcome triggers event generation
4. Check SLURP integrator error logs
5. Test event generation manually
## Future Enhancements
### Planned Features
1. **Machine Learning Rules**: Learn dependency patterns from historical data
2. **Automated Testing**: Generate integration tests for coordinated tasks
3. **Visualization**: Web UI for monitoring active sessions
4. **Advanced Metrics**: Track coordination efficiency and success rates
5. **Multi-Repo CI/CD**: Coordinate deployments across dependent services
6. **Conflict Resolution**: AI-powered conflict resolution suggestions
7. **Predictive Coordination**: Predict dependencies before tasks are claimed
## See Also
- [coordinator/](coordinator.md) - Task coordinator integration
- [pubsub/](../pubsub.md) - PubSub messaging for coordination
- [pkg/integration/](integration.md) - SLURP integration
- [pkg/hmmm/](hmmm.md) - HMMM meta-discussion system
- [reasoning/](../reasoning.md) - AI reasoning engine for planning
- [internal/logging/](../internal/logging.md) - Hypercore logging

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# Package: coordinator
**Location**: `/home/tony/chorus/project-queues/active/CHORUS/coordinator/`
## Overview
The `coordinator` package provides the **TaskCoordinator** - the main orchestrator for distributed task management in CHORUS. It handles task discovery, intelligent assignment, execution coordination, and real-time progress tracking across multiple repositories and agents. The coordinator integrates with the PubSub system for role-based collaboration and uses AI-powered execution engines for autonomous task completion.
## Core Components
### TaskCoordinator
The central orchestrator managing task lifecycle across the distributed CHORUS network.
```go
type TaskCoordinator struct {
pubsub *pubsub.PubSub
hlog *logging.HypercoreLog
ctx context.Context
config *config.Config
hmmmRouter *hmmm.Router
// Repository management
providers map[int]repository.TaskProvider // projectID -> provider
providerLock sync.RWMutex
factory repository.ProviderFactory
// Task management
activeTasks map[string]*ActiveTask // taskKey -> active task
taskLock sync.RWMutex
taskMatcher repository.TaskMatcher
taskTracker TaskProgressTracker
// Task execution
executionEngine execution.TaskExecutionEngine
// Agent tracking
nodeID string
agentInfo *repository.AgentInfo
// Sync settings
syncInterval time.Duration
lastSync map[int]time.Time
syncLock sync.RWMutex
}
```
**Key Responsibilities:**
- Discover available tasks across multiple repositories
- Score and assign tasks based on agent capabilities and expertise
- Coordinate task execution with AI-powered execution engines
- Track active tasks and broadcast progress updates
- Request and coordinate multi-agent collaboration
- Integrate with HMMM for meta-discussion and coordination
### ActiveTask
Represents a task currently being worked on by an agent.
```go
type ActiveTask struct {
Task *repository.Task
Provider repository.TaskProvider
ProjectID int
ClaimedAt time.Time
Status string // claimed, working, completed, failed
AgentID string
Results map[string]interface{}
}
```
**Task Lifecycle States:**
1. **claimed** - Task has been claimed by an agent
2. **working** - Agent is actively executing the task
3. **completed** - Task finished successfully
4. **failed** - Task execution failed
### TaskProgressTracker Interface
Callback interface for tracking task progress and updating availability broadcasts.
```go
type TaskProgressTracker interface {
AddTask(taskID string)
RemoveTask(taskID string)
}
```
This interface ensures availability broadcasts accurately reflect current workload.
## Task Coordination Flow
### 1. Initialization
```go
coordinator := NewTaskCoordinator(
ctx,
ps, // PubSub instance
hlog, // Hypercore log
cfg, // Agent configuration
nodeID, // P2P node ID
hmmmRouter, // HMMM router for meta-discussion
tracker, // Task progress tracker
)
coordinator.Start()
```
**Initialization Process:**
1. Creates agent info from configuration
2. Sets up task execution engine with AI providers
3. Announces agent role and capabilities via PubSub
4. Starts task discovery loop
5. Begins listening for role-based messages
### 2. Task Discovery and Assignment
**Discovery Loop** (runs every 30 seconds):
```
taskDiscoveryLoop() ->
(Discovery now handled by WHOOSH integration)
```
**Task Evaluation** (`shouldProcessTask`):
```go
func (tc *TaskCoordinator) shouldProcessTask(task *repository.Task) bool {
// 1. Check capacity: currentTasks < maxTasks
// 2. Check if already assigned to this agent
// 3. Score task fit for agent capabilities
// 4. Return true if score > 0.5 threshold
}
```
**Task Scoring:**
- Agent role matches required role
- Agent expertise matches required expertise
- Current workload vs capacity
- Task priority level
- Historical performance scores
### 3. Task Claiming and Processing
```
processTask() flow:
1. Evaluate if collaboration needed (shouldRequestCollaboration)
2. Request collaboration via PubSub if needed
3. Claim task through repository provider
4. Create ActiveTask and store in activeTasks map
5. Log claim to Hypercore
6. Announce claim via PubSub (TaskProgress message)
7. Seed HMMM meta-discussion room for task
8. Start execution in background goroutine
```
**Collaboration Request Criteria:**
- Task priority >= 8 (high priority)
- Task requires expertise agent doesn't have
- Complex multi-component tasks
### 4. Task Execution
**AI-Powered Execution** (`executeTaskWithAI`):
```go
executionRequest := &execution.TaskExecutionRequest{
ID: "repo:taskNumber",
Type: determineTaskType(task), // bug_fix, feature_development, etc.
Description: buildTaskDescription(task),
Context: buildTaskContext(task),
Requirements: &execution.TaskRequirements{
AIModel: "", // Auto-selected based on role
SandboxType: "docker",
RequiredTools: []string{"git", "curl"},
EnvironmentVars: map[string]string{
"TASK_ID": taskID,
"REPOSITORY": repoName,
"AGENT_ID": agentID,
"AGENT_ROLE": agentRole,
},
},
Timeout: 10 * time.Minute,
}
result := tc.executionEngine.ExecuteTask(ctx, executionRequest)
```
**Task Type Detection:**
- **bug_fix** - Keywords: "bug", "fix"
- **feature_development** - Keywords: "feature", "implement"
- **testing** - Keywords: "test"
- **documentation** - Keywords: "doc", "documentation"
- **refactoring** - Keywords: "refactor"
- **code_review** - Keywords: "review"
- **development** - Default for general tasks
**Fallback Mock Execution:**
If AI execution engine is unavailable or fails, falls back to mock execution with simulated work time.
### 5. Task Completion
```
executeTask() completion flow:
1. Update ActiveTask status to "completed"
2. Complete task through repository provider
3. Remove from activeTasks map
4. Update TaskProgressTracker
5. Log completion to Hypercore
6. Announce completion via PubSub
```
**Task Result Structure:**
```go
type TaskResult struct {
Success bool
Message string
Metadata map[string]interface{} // Includes:
// - execution_type (ai_powered/mock)
// - duration
// - commands_executed
// - files_generated
// - resource_usage
// - artifacts
}
```
## PubSub Integration
### Published Message Types
#### 1. RoleAnnouncement
**Topic**: `hmmm/meta-discussion/v1`
**Frequency**: Once on startup, when capabilities change
```json
{
"type": "role_announcement",
"from": "peer_id",
"from_role": "Senior Backend Developer",
"data": {
"agent_id": "agent-001",
"node_id": "Qm...",
"role": "Senior Backend Developer",
"expertise": ["Go", "PostgreSQL", "Kubernetes"],
"capabilities": ["code", "test", "deploy"],
"max_tasks": 3,
"current_tasks": 0,
"status": "ready",
"specialization": "microservices"
}
}
```
#### 2. TaskProgress
**Topic**: `CHORUS/coordination/v1`
**Frequency**: On claim, start, completion
**Task Claim:**
```json
{
"type": "task_progress",
"from": "peer_id",
"from_role": "Senior Backend Developer",
"thread_id": "task-myrepo-42",
"data": {
"task_number": 42,
"repository": "myrepo",
"title": "Add authentication endpoint",
"agent_id": "agent-001",
"agent_role": "Senior Backend Developer",
"claim_time": "2025-09-30T10:00:00Z",
"estimated_completion": "2025-09-30T11:00:00Z"
}
}
```
**Task Status Update:**
```json
{
"type": "task_progress",
"from": "peer_id",
"from_role": "Senior Backend Developer",
"thread_id": "task-myrepo-42",
"data": {
"task_number": 42,
"repository": "myrepo",
"agent_id": "agent-001",
"agent_role": "Senior Backend Developer",
"status": "started" | "completed",
"timestamp": "2025-09-30T10:05:00Z"
}
}
```
#### 3. TaskHelpRequest
**Topic**: `hmmm/meta-discussion/v1`
**Frequency**: When collaboration needed
```json
{
"type": "task_help_request",
"from": "peer_id",
"from_role": "Senior Backend Developer",
"to_roles": ["Database Specialist"],
"required_expertise": ["PostgreSQL", "Query Optimization"],
"priority": "high",
"thread_id": "task-myrepo-42",
"data": {
"task_number": 42,
"repository": "myrepo",
"title": "Optimize database queries",
"required_role": "Database Specialist",
"required_expertise": ["PostgreSQL", "Query Optimization"],
"priority": 8,
"requester_role": "Senior Backend Developer",
"reason": "expertise_gap"
}
}
```
### Received Message Types
#### 1. TaskHelpRequest
**Handler**: `handleTaskHelpRequest`
**Response Logic:**
1. Check if agent has required expertise
2. Verify agent has available capacity (currentTasks < maxTasks)
3. If can help, send TaskHelpResponse
4. Reflect offer into HMMM per-issue room
**Response Message:**
```json
{
"type": "task_help_response",
"from": "peer_id",
"from_role": "Database Specialist",
"thread_id": "task-myrepo-42",
"data": {
"agent_id": "agent-002",
"agent_role": "Database Specialist",
"expertise": ["PostgreSQL", "Query Optimization", "Indexing"],
"availability": 2,
"offer_type": "collaboration",
"response_to": { /* original help request data */ }
}
}
```
#### 2. ExpertiseRequest
**Handler**: `handleExpertiseRequest`
Processes requests for specific expertise areas.
#### 3. CoordinationRequest
**Handler**: `handleCoordinationRequest`
Handles coordination requests for multi-agent tasks.
#### 4. RoleAnnouncement
**Handler**: `handleRoleAnnouncement`
Logs when other agents announce their roles and capabilities.
## HMMM Integration
### Per-Issue Room Seeding
When a task is claimed, the coordinator seeds a HMMM meta-discussion room:
```go
seedMsg := hmmm.Message{
Version: 1,
Type: "meta_msg",
IssueID: int64(taskNumber),
ThreadID: fmt.Sprintf("issue-%d", taskNumber),
MsgID: uuid.New().String(),
NodeID: nodeID,
HopCount: 0,
Timestamp: time.Now().UTC(),
Message: "Seed: Task 'title' claimed. Description: ...",
}
hmmmRouter.Publish(ctx, seedMsg)
```
**Purpose:**
- Creates dedicated discussion space for task
- Enables agents to coordinate on specific tasks
- Integrates with broader meta-coordination system
- Provides context for SLURP event generation
### Help Offer Reflection
When agents offer help, the offer is reflected into the HMMM room:
```go
hmsg := hmmm.Message{
Version: 1,
Type: "meta_msg",
IssueID: issueID,
ThreadID: fmt.Sprintf("issue-%d", issueID),
MsgID: uuid.New().String(),
NodeID: nodeID,
HopCount: 0,
Timestamp: time.Now().UTC(),
Message: fmt.Sprintf("Help offer from %s (availability %d)",
agentRole, availableSlots),
}
```
## Availability Tracking
The coordinator tracks task progress to keep availability broadcasts accurate:
```go
// When task is claimed:
if tc.taskTracker != nil {
tc.taskTracker.AddTask(taskKey)
}
// When task completes:
if tc.taskTracker != nil {
tc.taskTracker.RemoveTask(taskKey)
}
```
This ensures the availability broadcaster (in `internal/runtime`) has accurate real-time data:
```json
{
"type": "availability_broadcast",
"data": {
"node_id": "Qm...",
"available_for_work": true,
"current_tasks": 1,
"max_tasks": 3,
"last_activity": 1727692800,
"status": "working",
"timestamp": 1727692800
}
}
```
## Task Assignment Algorithm
### Scoring System
The `TaskMatcher` scores tasks for agents based on multiple factors:
```
Score = (roleMatch * 0.4) +
(expertiseMatch * 0.3) +
(availabilityScore * 0.2) +
(performanceScore * 0.1)
Where:
- roleMatch: 1.0 if agent role matches required role, 0.5 for partial match
- expertiseMatch: percentage of required expertise agent possesses
- availabilityScore: (maxTasks - currentTasks) / maxTasks
- performanceScore: agent's historical performance metric (0.0-1.0)
```
**Threshold**: Tasks with score > 0.5 are considered for assignment.
### Assignment Priority
Tasks are prioritized by:
1. **Priority Level** (task.Priority field, 0-10)
2. **Task Score** (calculated by matcher)
3. **Age** (older tasks first)
4. **Dependencies** (tasks blocking others)
### Claim Race Condition Handling
Multiple agents may attempt to claim the same task:
```
1. Agent A evaluates task: score = 0.8, attempts claim
2. Agent B evaluates task: score = 0.7, attempts claim
3. Repository provider uses atomic claim operation
4. First successful claim wins
5. Other agents receive claim failure
6. Failed agents continue to next task
```
## Error Handling
### Task Execution Failures
```go
// On AI execution failure:
if err := tc.executeTaskWithAI(activeTask); err != nil {
// Fall back to mock execution
taskResult = tc.executeMockTask(activeTask)
}
// On completion failure:
if err := provider.CompleteTask(task, result); err != nil {
// Update status to failed
activeTask.Status = "failed"
activeTask.Results = map[string]interface{}{
"error": err.Error(),
}
}
```
### Collaboration Request Failures
```go
err := tc.pubsub.PublishRoleBasedMessage(
pubsub.TaskHelpRequest, data, opts)
if err != nil {
// Log error but continue with task
fmt.Printf("⚠️ Failed to request collaboration: %v\n", err)
// Task execution proceeds without collaboration
}
```
### HMMM Seeding Failures
```go
if err := tc.hmmmRouter.Publish(ctx, seedMsg); err != nil {
// Log error to Hypercore
tc.hlog.AppendString("system_error", map[string]interface{}{
"error": "hmmm_seed_failed",
"task_number": taskNumber,
"repository": repository,
"message": err.Error(),
})
// Task execution continues without HMMM room
}
```
## Agent Configuration
### Required Configuration
```yaml
agent:
id: "agent-001"
role: "Senior Backend Developer"
expertise:
- "Go"
- "PostgreSQL"
- "Docker"
- "Kubernetes"
capabilities:
- "code"
- "test"
- "deploy"
max_tasks: 3
specialization: "microservices"
models:
- name: "llama3.1:70b"
provider: "ollama"
endpoint: "http://192.168.1.72:11434"
```
### AgentInfo Structure
```go
type AgentInfo struct {
ID string
Role string
Expertise []string
CurrentTasks int
MaxTasks int
Status string // ready, working, busy, offline
LastSeen time.Time
Performance map[string]interface{} // score: 0.8
Availability string // available, busy, offline
}
```
## Hypercore Logging
All coordination events are logged to Hypercore:
### Task Claimed
```go
hlog.Append(logging.TaskClaimed, map[string]interface{}{
"task_number": taskNumber,
"repository": repository,
"title": title,
"required_role": requiredRole,
"priority": priority,
})
```
### Task Completed
```go
hlog.Append(logging.TaskCompleted, map[string]interface{}{
"task_number": taskNumber,
"repository": repository,
"duration": durationSeconds,
"results": resultsMap,
})
```
## Status Reporting
### Coordinator Status
```go
status := coordinator.GetStatus()
// Returns:
{
"agent_id": "agent-001",
"role": "Senior Backend Developer",
"expertise": ["Go", "PostgreSQL", "Docker"],
"current_tasks": 1,
"max_tasks": 3,
"active_providers": 2,
"status": "working",
"active_tasks": [
{
"repository": "myrepo",
"number": 42,
"title": "Add authentication",
"status": "working",
"claimed_at": "2025-09-30T10:00:00Z"
}
]
}
```
## Best Practices
### Task Coordinator Usage
1. **Initialize Early**: Create coordinator during agent startup
2. **Set Task Tracker**: Always provide TaskProgressTracker for accurate availability
3. **Configure HMMM**: Wire up hmmmRouter for meta-discussion integration
4. **Monitor Status**: Periodically check GetStatus() for health monitoring
5. **Handle Failures**: Implement proper error handling for degraded operation
### Configuration Tuning
1. **Max Tasks**: Set based on agent resources (CPU, memory, AI model capacity)
2. **Sync Interval**: Balance between responsiveness and network overhead (default: 30s)
3. **Task Scoring**: Adjust threshold (default: 0.5) based on task availability
4. **Collaboration**: Enable for high-priority or expertise-gap tasks
### Performance Optimization
1. **Task Discovery**: Delegate to WHOOSH for efficient search and indexing
2. **Concurrent Execution**: Use goroutines for parallel task execution
3. **Lock Granularity**: Minimize lock contention with separate locks for providers/tasks
4. **Caching**: Cache agent info and provider connections
## Integration Points
### With PubSub
- Publishes: RoleAnnouncement, TaskProgress, TaskHelpRequest
- Subscribes: TaskHelpRequest, ExpertiseRequest, CoordinationRequest
- Topics: CHORUS/coordination/v1, hmmm/meta-discussion/v1
### With HMMM
- Seeds per-issue discussion rooms
- Reflects help offers into rooms
- Enables agent coordination on specific tasks
### With Repository Providers
- Claims tasks atomically
- Fetches task details
- Updates task status
- Completes tasks with results
### With Execution Engine
- Converts repository tasks to execution requests
- Executes tasks with AI providers
- Handles sandbox environments
- Collects execution metrics and artifacts
### With Hypercore
- Logs task claims
- Logs task completions
- Logs coordination errors
- Provides audit trail
## Task Message Format
### PubSub Task Messages
All task-related messages follow the standard PubSub Message format:
```go
type Message struct {
Type MessageType // e.g., "task_progress"
From string // Peer ID
Timestamp time.Time
Data map[string]interface{} // Message payload
HopCount int
FromRole string // Agent role
ToRoles []string // Target roles
RequiredExpertise []string // Required expertise
ProjectID string
Priority string // low, medium, high, urgent
ThreadID string // Conversation thread
}
```
### Task Assignment Message Flow
```
1. TaskAnnouncement (WHOOSH → PubSub)
├─ Available task discovered
└─ Broadcast to coordination topic
2. Task Evaluation (Local)
├─ Score task for agent
└─ Decide whether to claim
3. TaskClaim (Agent → Repository)
├─ Atomic claim operation
└─ Only one agent succeeds
4. TaskProgress (Agent → PubSub)
├─ Announce claim to network
└─ Status: "claimed"
5. TaskHelpRequest (Optional, Agent → PubSub)
├─ Request collaboration if needed
└─ Target specific roles/expertise
6. TaskHelpResponse (Other Agents → PubSub)
├─ Offer assistance
└─ Include availability info
7. TaskProgress (Agent → PubSub)
├─ Announce work started
└─ Status: "started"
8. Task Execution (Local with AI Engine)
├─ Execute task in sandbox
└─ Generate artifacts
9. TaskProgress (Agent → PubSub)
├─ Announce completion
└─ Status: "completed"
```
## See Also
- [discovery/](discovery.md) - mDNS peer discovery for local network
- [pkg/coordination/](coordination.md) - Coordination primitives and dependency detection
- [pubsub/](../pubsub.md) - PubSub messaging system
- [pkg/execution/](execution.md) - Task execution engine
- [pkg/hmmm/](hmmm.md) - Meta-discussion and coordination
- [internal/runtime](../internal/runtime.md) - Agent runtime and availability broadcasting

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# Package: discovery
**Location**: `/home/tony/chorus/project-queues/active/CHORUS/discovery/`
## Overview
The `discovery` package provides **mDNS-based peer discovery** for automatic detection and connection of CHORUS agents on the local network. It enables zero-configuration peer discovery using multicast DNS (mDNS), allowing agents to find and connect to each other without manual configuration or central coordination.
## Architecture
### mDNS Overview
Multicast DNS (mDNS) is a protocol that resolves hostnames to IP addresses within small networks that do not include a local name server. It uses:
- **Multicast IP**: 224.0.0.251 (IPv4) or FF02::FB (IPv6)
- **UDP Port**: 5353
- **Service Discovery**: Advertises and discovers services on the local network
### CHORUS Service Tag
**Default Service Name**: `"CHORUS-peer-discovery"`
This service tag identifies CHORUS peers on the network. All CHORUS agents advertise themselves with this tag and listen for other agents using the same tag.
## Core Components
### MDNSDiscovery
Main structure managing mDNS discovery operations.
```go
type MDNSDiscovery struct {
host host.Host // libp2p host
service mdns.Service // mDNS service
notifee *mdnsNotifee // Peer notification handler
ctx context.Context // Discovery context
cancel context.CancelFunc // Context cancellation
serviceTag string // Service name (default: "CHORUS-peer-discovery")
}
```
**Key Responsibilities:**
- Advertise local agent as mDNS service
- Listen for mDNS announcements from other agents
- Automatically connect to discovered peers
- Handle peer connection lifecycle
### mdnsNotifee
Internal notification handler for discovered peers.
```go
type mdnsNotifee struct {
h host.Host // libp2p host
ctx context.Context // Context for operations
peersChan chan peer.AddrInfo // Channel for discovered peers (buffer: 10)
}
```
Implements the mDNS notification interface to receive peer discovery events.
## Discovery Flow
### 1. Service Initialization
```go
discovery, err := NewMDNSDiscovery(ctx, host, "CHORUS-peer-discovery")
if err != nil {
return fmt.Errorf("failed to start mDNS discovery: %w", err)
}
```
**Initialization Steps:**
1. Create discovery context with cancellation
2. Initialize mdnsNotifee with peer channel
3. Create mDNS service with service tag
4. Start mDNS service (begins advertising and listening)
5. Launch background peer connection handler
### 2. Service Advertisement
When the service starts, it automatically advertises:
```
Service Type: _CHORUS-peer-discovery._udp.local
Port: libp2p host port
Addresses: All local IP addresses (IPv4 and IPv6)
```
This allows other CHORUS agents on the network to discover this peer.
### 3. Peer Discovery
**Discovery Process:**
```
1. mDNS Service listens for multicast announcements
├─ Receives service announcement from peer
└─ Extracts peer.AddrInfo (ID + addresses)
2. mdnsNotifee.HandlePeerFound() called
├─ Peer info sent to peersChan
└─ Non-blocking send (drops if channel full)
3. handleDiscoveredPeers() goroutine receives
├─ Skip if peer is self
├─ Skip if already connected
└─ Attempt connection
```
### 4. Automatic Connection
```go
func (d *MDNSDiscovery) handleDiscoveredPeers() {
for {
select {
case <-d.ctx.Done():
return
case peerInfo := <-d.notifee.peersChan:
// Skip self
if peerInfo.ID == d.host.ID() {
continue
}
// Check if already connected
if d.host.Network().Connectedness(peerInfo.ID) == 1 {
continue
}
// Attempt connection with timeout
connectCtx, cancel := context.WithTimeout(d.ctx, 10*time.Second)
err := d.host.Connect(connectCtx, peerInfo)
cancel()
if err != nil {
fmt.Printf("❌ Failed to connect to peer %s: %v\n",
peerInfo.ID.ShortString(), err)
} else {
fmt.Printf("✅ Successfully connected to peer %s\n",
peerInfo.ID.ShortString())
}
}
}
}
```
**Connection Features:**
- **10-second timeout** per connection attempt
- **Idempotent**: Safe to attempt connection to already-connected peer
- **Self-filtering**: Ignores own mDNS announcements
- **Duplicate filtering**: Checks existing connections before attempting
- **Non-blocking**: Runs in background goroutine
## Usage
### Basic Usage
```go
import (
"context"
"chorus/discovery"
"github.com/libp2p/go-libp2p/core/host"
)
func setupDiscovery(ctx context.Context, h host.Host) (*discovery.MDNSDiscovery, error) {
// Start mDNS discovery with default service tag
disc, err := discovery.NewMDNSDiscovery(ctx, h, "")
if err != nil {
return nil, err
}
fmt.Println("🔍 mDNS discovery started")
return disc, nil
}
```
### Custom Service Tag
```go
// Use custom service tag for specific environments
disc, err := discovery.NewMDNSDiscovery(ctx, h, "CHORUS-dev-network")
if err != nil {
return nil, err
}
```
### Monitoring Discovered Peers
```go
// Access peer channel for custom handling
peersChan := disc.PeersChan()
go func() {
for peerInfo := range peersChan {
fmt.Printf("🔍 Discovered peer: %s with %d addresses\n",
peerInfo.ID.ShortString(),
len(peerInfo.Addrs))
// Custom peer processing
handleNewPeer(peerInfo)
}
}()
```
### Graceful Shutdown
```go
// Close discovery service
if err := disc.Close(); err != nil {
log.Printf("Error closing discovery: %v", err)
}
```
## Peer Information Structure
### peer.AddrInfo
Discovered peers are represented as libp2p `peer.AddrInfo`:
```go
type AddrInfo struct {
ID peer.ID // Unique peer identifier
Addrs []multiaddr.Multiaddr // Peer addresses
}
```
**Example Multiaddresses:**
```
/ip4/192.168.1.100/tcp/4001/p2p/QmPeerID...
/ip6/fe80::1/tcp/4001/p2p/QmPeerID...
```
## Network Configuration
### Firewall Requirements
mDNS requires the following ports to be open:
- **UDP 5353**: mDNS multicast
- **TCP/UDP 4001** (or configured libp2p port): libp2p connections
### Network Scope
mDNS operates on **local network** only:
- Same subnet required for discovery
- Does not traverse routers (by design)
- Ideal for LAN-based agent clusters
### Multicast Group
mDNS uses standard multicast groups:
- **IPv4**: 224.0.0.251
- **IPv6**: FF02::FB
## Integration with CHORUS
### Cluster Formation
mDNS discovery enables automatic cluster formation:
```
Startup Sequence:
1. Agent starts with libp2p host
2. mDNS discovery initialized
3. Agent advertises itself via mDNS
4. Agent listens for other agents
5. Auto-connects to discovered peers
6. PubSub gossip network forms
7. Task coordination begins
```
### Multi-Node Cluster Example
```
Network: 192.168.1.0/24
Node 1 (walnut): 192.168.1.27 - Agent: backend-dev
Node 2 (ironwood): 192.168.1.72 - Agent: frontend-dev
Node 3 (rosewood): 192.168.1.113 - Agent: devops-specialist
Discovery Flow:
1. All nodes start with CHORUS-peer-discovery tag
2. Each node multicasts to 224.0.0.251:5353
3. All nodes receive each other's announcements
4. Automatic connection establishment:
walnut ↔ ironwood
walnut ↔ rosewood
ironwood ↔ rosewood
5. Full mesh topology formed
6. PubSub topics synchronized
```
## Error Handling
### Service Start Failure
```go
disc, err := discovery.NewMDNSDiscovery(ctx, h, serviceTag)
if err != nil {
// Common causes:
// - Port 5353 already in use
// - Insufficient permissions (require multicast)
// - Network interface unavailable
return fmt.Errorf("failed to start mDNS discovery: %w", err)
}
```
### Connection Failures
Connection failures are logged but do not stop the discovery process:
```
❌ Failed to connect to peer Qm... : context deadline exceeded
```
**Common Causes:**
- Peer behind firewall
- Network congestion
- Peer offline/restarting
- Connection limit reached
**Behavior**: Discovery continues, will retry on next mDNS announcement.
### Channel Full
If peer discovery is faster than connection handling:
```
⚠️ Discovery channel full, skipping peer Qm...
```
**Buffer Size**: 10 peers
**Mitigation**: Non-critical, peer will be rediscovered on next announcement cycle
## Performance Characteristics
### Discovery Latency
- **Initial Advertisement**: ~1-2 seconds after service start
- **Discovery Response**: Typically < 1 second on LAN
- **Connection Establishment**: 1-10 seconds (with 10s timeout)
- **Re-announcement**: Periodic (standard mDNS timing)
### Resource Usage
- **Memory**: Minimal (~1MB per discovery service)
- **CPU**: Very low (event-driven)
- **Network**: Minimal (periodic multicast announcements)
- **Concurrent Connections**: Handled by libp2p connection manager
## Configuration Options
### Service Tag Customization
```go
// Production environment
disc, _ := discovery.NewMDNSDiscovery(ctx, h, "CHORUS-production")
// Development environment
disc, _ := discovery.NewMDNSDiscovery(ctx, h, "CHORUS-dev")
// Testing environment
disc, _ := discovery.NewMDNSDiscovery(ctx, h, "CHORUS-test")
```
**Use Case**: Isolate environments on same physical network.
### Connection Timeout Adjustment
Currently hardcoded to 10 seconds. For customization:
```go
// In handleDiscoveredPeers():
connectTimeout := 30 * time.Second // Longer for slow networks
connectCtx, cancel := context.WithTimeout(d.ctx, connectTimeout)
```
## Advanced Usage
### Custom Peer Handling
Bypass automatic connection and implement custom logic:
```go
// Subscribe to peer channel
peersChan := disc.PeersChan()
go func() {
for peerInfo := range peersChan {
// Custom filtering
if shouldConnectToPeer(peerInfo) {
// Custom connection logic
connectWithRetry(peerInfo)
}
}
}()
```
### Discovery Metrics
```go
type DiscoveryMetrics struct {
PeersDiscovered int
ConnectionsSuccess int
ConnectionsFailed int
LastDiscovery time.Time
}
// Track metrics
var metrics DiscoveryMetrics
// In handleDiscoveredPeers():
metrics.PeersDiscovered++
if err := host.Connect(ctx, peerInfo); err != nil {
metrics.ConnectionsFailed++
} else {
metrics.ConnectionsSuccess++
}
metrics.LastDiscovery = time.Now()
```
## Comparison with Other Discovery Methods
### mDNS vs DHT
| Feature | mDNS | DHT (Kademlia) |
|---------|------|----------------|
| Network Scope | Local network only | Global |
| Setup | Zero-config | Requires bootstrap nodes |
| Speed | Very fast (< 1s) | Slower (seconds to minutes) |
| Privacy | Local only | Public network |
| Reliability | High on LAN | Depends on DHT health |
| Use Case | LAN clusters | Internet-wide P2P |
**CHORUS Choice**: mDNS for local agent clusters, DHT could be added for internet-wide coordination.
### mDNS vs Bootstrap List
| Feature | mDNS | Bootstrap List |
|---------|------|----------------|
| Configuration | None | Manual list |
| Maintenance | Automatic | Manual updates |
| Scalability | Limited to LAN | Unlimited |
| Flexibility | Dynamic | Static |
| Failure Handling | Auto-discovery | Manual intervention |
**CHORUS Choice**: mDNS for local discovery, bootstrap list as fallback.
## libp2p Integration
### Host Requirement
mDNS discovery requires a libp2p host:
```go
import (
"github.com/libp2p/go-libp2p"
"github.com/libp2p/go-libp2p/core/host"
)
// Create libp2p host
h, err := libp2p.New(
libp2p.ListenAddrStrings(
"/ip4/0.0.0.0/tcp/4001",
"/ip6/::/tcp/4001",
),
)
if err != nil {
return err
}
// Initialize mDNS discovery with host
disc, err := discovery.NewMDNSDiscovery(ctx, h, "CHORUS-peer-discovery")
```
### Connection Manager Integration
mDNS discovery works with libp2p connection manager:
```go
h, err := libp2p.New(
libp2p.ListenAddrStrings("/ip4/0.0.0.0/tcp/4001"),
libp2p.ConnectionManager(connmgr.NewConnManager(
100, // Low water mark
400, // High water mark
time.Minute,
)),
)
// mDNS-discovered connections managed by connection manager
disc, err := discovery.NewMDNSDiscovery(ctx, h, "")
```
## Security Considerations
### Trust Model
mDNS operates on **local network trust**:
- Assumes local network is trusted
- No authentication at mDNS layer
- Authentication handled by libp2p security transport
### Attack Vectors
1. **Peer ID Spoofing**: Mitigated by libp2p peer ID verification
2. **DoS via Fake Peers**: Limited by channel buffer and connection timeout
3. **Network Snooping**: mDNS announcements are plaintext (by design)
### Best Practices
1. **Use libp2p Security**: TLS or Noise transport for encrypted connections
2. **Peer Authentication**: Verify peer identities after connection
3. **Network Isolation**: Deploy on trusted networks
4. **Connection Limits**: Use libp2p connection manager
5. **Monitoring**: Log all discovery and connection events
## Troubleshooting
### No Peers Discovered
**Symptoms**: Service starts but no peers found.
**Checks:**
1. Verify all agents on same subnet
2. Check firewall rules (UDP 5353)
3. Verify mDNS/multicast not blocked by network
4. Check service tag matches across agents
5. Verify no mDNS conflicts with other services
### Connection Failures
**Symptoms**: Peers discovered but connections fail.
**Checks:**
1. Verify libp2p port open (default: TCP 4001)
2. Check connection manager limits
3. Verify peer addresses are reachable
4. Check for NAT/firewall between peers
5. Verify sufficient system resources (file descriptors, memory)
### High CPU/Network Usage
**Symptoms**: Excessive mDNS traffic or CPU usage.
**Causes:**
- Rapid peer restarts (re-announcements)
- Many peers on network
- Short announcement intervals
**Solutions:**
- Implement connection caching
- Adjust mDNS announcement timing
- Use connection limits
## Monitoring and Debugging
### Discovery Events
```go
// Log all discovery events
disc, _ := discovery.NewMDNSDiscovery(ctx, h, "CHORUS-peer-discovery")
peersChan := disc.PeersChan()
go func() {
for peerInfo := range peersChan {
logger.Info("Discovered peer",
"peer_id", peerInfo.ID.String(),
"addresses", peerInfo.Addrs,
"timestamp", time.Now())
}
}()
```
### Connection Status
```go
// Monitor connection status
func monitorConnections(h host.Host) {
ticker := time.NewTicker(30 * time.Second)
defer ticker.Stop()
for range ticker.C {
peers := h.Network().Peers()
fmt.Printf("📊 Connected to %d peers: %v\n",
len(peers), peers)
}
}
```
## See Also
- [coordinator/](coordinator.md) - Task coordination using discovered peers
- [pubsub/](../pubsub.md) - PubSub over discovered peer network
- [internal/runtime/](../internal/runtime.md) - Runtime initialization with discovery
- [libp2p Documentation](https://docs.libp2p.io/) - libp2p concepts and APIs
- [mDNS RFC 6762](https://tools.ietf.org/html/rfc6762) - mDNS protocol specification

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# CHORUS Metrics Package
## Overview
The `pkg/metrics` package provides comprehensive Prometheus-based metrics collection for the CHORUS distributed system. It exposes detailed operational metrics across all system components including P2P networking, DHT operations, PubSub messaging, elections, task management, and resource utilization.
## Architecture
### Core Components
- **CHORUSMetrics**: Central metrics collector managing all Prometheus metrics
- **Prometheus Registry**: Custom registry for metric collection
- **HTTP Server**: Exposes metrics endpoint for scraping
- **Background Collectors**: Periodic system and resource metric collection
### Metric Types
The package uses three Prometheus metric types:
1. **Counter**: Monotonically increasing values (e.g., total messages sent)
2. **Gauge**: Values that can go up or down (e.g., connected peers)
3. **Histogram**: Distribution of values with configurable buckets (e.g., latency measurements)
## Configuration
### MetricsConfig
```go
type MetricsConfig struct {
// HTTP server configuration
ListenAddr string // Default: ":9090"
MetricsPath string // Default: "/metrics"
// Histogram buckets
LatencyBuckets []float64 // Default: 0.001s to 10s
SizeBuckets []float64 // Default: 64B to 16MB
// Node identification labels
NodeID string // Unique node identifier
Version string // CHORUS version
Environment string // deployment environment (dev/staging/prod)
Cluster string // cluster identifier
// Collection intervals
SystemMetricsInterval time.Duration // Default: 30s
ResourceMetricsInterval time.Duration // Default: 15s
}
```
### Default Configuration
```go
config := metrics.DefaultMetricsConfig()
// Returns:
// - ListenAddr: ":9090"
// - MetricsPath: "/metrics"
// - LatencyBuckets: [0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1.0, 2.5, 5.0, 10.0]
// - SizeBuckets: [64, 256, 1024, 4096, 16384, 65536, 262144, 1048576, 4194304, 16777216]
// - SystemMetricsInterval: 30s
// - ResourceMetricsInterval: 15s
```
## Metrics Catalog
### System Metrics
#### chorus_system_info
**Type**: Gauge
**Description**: System information with version labels
**Labels**: `node_id`, `version`, `go_version`, `cluster`, `environment`
**Value**: Always 1 when present
#### chorus_uptime_seconds
**Type**: Gauge
**Description**: System uptime in seconds since start
**Value**: Current uptime in seconds
### P2P Network Metrics
#### chorus_p2p_connected_peers
**Type**: Gauge
**Description**: Number of currently connected P2P peers
**Value**: Current peer count
#### chorus_p2p_messages_sent_total
**Type**: Counter
**Description**: Total number of P2P messages sent
**Labels**: `message_type`, `peer_id`
**Usage**: Track outbound message volume per type and destination
#### chorus_p2p_messages_received_total
**Type**: Counter
**Description**: Total number of P2P messages received
**Labels**: `message_type`, `peer_id`
**Usage**: Track inbound message volume per type and source
#### chorus_p2p_message_latency_seconds
**Type**: Histogram
**Description**: P2P message round-trip latency distribution
**Labels**: `message_type`
**Buckets**: Configurable latency buckets (default: 1ms to 10s)
#### chorus_p2p_connection_duration_seconds
**Type**: Histogram
**Description**: Duration of P2P connections
**Labels**: `peer_id`
**Usage**: Track connection stability
#### chorus_p2p_peer_score
**Type**: Gauge
**Description**: Peer quality score
**Labels**: `peer_id`
**Value**: Score between 0.0 (poor) and 1.0 (excellent)
### DHT (Distributed Hash Table) Metrics
#### chorus_dht_put_operations_total
**Type**: Counter
**Description**: Total number of DHT put operations
**Labels**: `status` (success/failure)
**Usage**: Track DHT write operations
#### chorus_dht_get_operations_total
**Type**: Counter
**Description**: Total number of DHT get operations
**Labels**: `status` (success/failure)
**Usage**: Track DHT read operations
#### chorus_dht_operation_latency_seconds
**Type**: Histogram
**Description**: DHT operation latency distribution
**Labels**: `operation` (put/get), `status` (success/failure)
**Usage**: Monitor DHT performance
#### chorus_dht_provider_records
**Type**: Gauge
**Description**: Number of provider records stored in DHT
**Value**: Current provider record count
#### chorus_dht_content_keys
**Type**: Gauge
**Description**: Number of content keys stored in DHT
**Value**: Current content key count
#### chorus_dht_replication_factor
**Type**: Gauge
**Description**: Replication factor for DHT keys
**Labels**: `key_hash`
**Value**: Number of replicas for specific keys
#### chorus_dht_cache_hits_total
**Type**: Counter
**Description**: DHT cache hit count
**Labels**: `cache_type`
**Usage**: Monitor DHT caching effectiveness
#### chorus_dht_cache_misses_total
**Type**: Counter
**Description**: DHT cache miss count
**Labels**: `cache_type`
**Usage**: Monitor DHT caching effectiveness
### PubSub Messaging Metrics
#### chorus_pubsub_topics
**Type**: Gauge
**Description**: Number of active PubSub topics
**Value**: Current topic count
#### chorus_pubsub_subscribers
**Type**: Gauge
**Description**: Number of subscribers per topic
**Labels**: `topic`
**Value**: Subscriber count for each topic
#### chorus_pubsub_messages_total
**Type**: Counter
**Description**: Total PubSub messages
**Labels**: `topic`, `direction` (sent/received), `message_type`
**Usage**: Track message volume per topic
#### chorus_pubsub_message_latency_seconds
**Type**: Histogram
**Description**: PubSub message delivery latency
**Labels**: `topic`
**Usage**: Monitor message propagation performance
#### chorus_pubsub_message_size_bytes
**Type**: Histogram
**Description**: PubSub message size distribution
**Labels**: `topic`
**Buckets**: Configurable size buckets (default: 64B to 16MB)
### Election System Metrics
#### chorus_election_term
**Type**: Gauge
**Description**: Current election term number
**Value**: Monotonically increasing term number
#### chorus_election_state
**Type**: Gauge
**Description**: Current election state (1 for active state, 0 for others)
**Labels**: `state` (idle/discovering/electing/reconstructing/complete)
**Usage**: Only one state should have value 1 at any time
#### chorus_heartbeats_sent_total
**Type**: Counter
**Description**: Total number of heartbeats sent by this node
**Usage**: Monitor leader heartbeat activity
#### chorus_heartbeats_received_total
**Type**: Counter
**Description**: Total number of heartbeats received from leader
**Usage**: Monitor follower connectivity to leader
#### chorus_leadership_changes_total
**Type**: Counter
**Description**: Total number of leadership changes
**Usage**: Monitor election stability (lower is better)
#### chorus_leader_uptime_seconds
**Type**: Gauge
**Description**: Current leader's tenure duration
**Value**: Seconds since current leader was elected
#### chorus_election_latency_seconds
**Type**: Histogram
**Description**: Time taken to complete election process
**Usage**: Monitor election efficiency
### Health Monitoring Metrics
#### chorus_health_checks_passed_total
**Type**: Counter
**Description**: Total number of health checks passed
**Labels**: `check_name`
**Usage**: Track health check success rate
#### chorus_health_checks_failed_total
**Type**: Counter
**Description**: Total number of health checks failed
**Labels**: `check_name`, `reason`
**Usage**: Track health check failures and reasons
#### chorus_health_check_duration_seconds
**Type**: Histogram
**Description**: Health check execution duration
**Labels**: `check_name`
**Usage**: Monitor health check performance
#### chorus_system_health_score
**Type**: Gauge
**Description**: Overall system health score
**Value**: 0.0 (unhealthy) to 1.0 (healthy)
**Usage**: Monitor overall system health
#### chorus_component_health_score
**Type**: Gauge
**Description**: Component-specific health score
**Labels**: `component`
**Value**: 0.0 (unhealthy) to 1.0 (healthy)
**Usage**: Track individual component health
### Task Management Metrics
#### chorus_tasks_active
**Type**: Gauge
**Description**: Number of currently active tasks
**Value**: Current active task count
#### chorus_tasks_queued
**Type**: Gauge
**Description**: Number of queued tasks waiting execution
**Value**: Current queue depth
#### chorus_tasks_completed_total
**Type**: Counter
**Description**: Total number of completed tasks
**Labels**: `status` (success/failure), `task_type`
**Usage**: Track task completion and success rate
#### chorus_task_duration_seconds
**Type**: Histogram
**Description**: Task execution duration distribution
**Labels**: `task_type`, `status`
**Usage**: Monitor task performance
#### chorus_task_queue_wait_time_seconds
**Type**: Histogram
**Description**: Time tasks spend in queue before execution
**Usage**: Monitor task scheduling efficiency
### SLURP (Context Generation) Metrics
#### chorus_slurp_contexts_generated_total
**Type**: Counter
**Description**: Total number of SLURP contexts generated
**Labels**: `role`, `status` (success/failure)
**Usage**: Track context generation volume
#### chorus_slurp_generation_time_seconds
**Type**: Histogram
**Description**: Time taken to generate SLURP contexts
**Buckets**: [0.1, 0.5, 1.0, 2.0, 5.0, 10.0, 30.0, 60.0, 120.0]
**Usage**: Monitor context generation performance
#### chorus_slurp_queue_length
**Type**: Gauge
**Description**: Length of SLURP generation queue
**Value**: Current queue depth
#### chorus_slurp_active_jobs
**Type**: Gauge
**Description**: Number of active SLURP generation jobs
**Value**: Currently running generation jobs
#### chorus_slurp_leadership_events_total
**Type**: Counter
**Description**: SLURP-related leadership events
**Usage**: Track leader-initiated context generation
### SHHH (Secret Sentinel) Metrics
#### chorus_shhh_findings_total
**Type**: Counter
**Description**: Total number of SHHH redaction findings
**Labels**: `rule`, `severity` (low/medium/high/critical)
**Usage**: Monitor secret detection effectiveness
### UCXI (Protocol Resolution) Metrics
#### chorus_ucxi_requests_total
**Type**: Counter
**Description**: Total number of UCXI protocol requests
**Labels**: `method`, `status` (success/failure)
**Usage**: Track UCXI usage and success rate
#### chorus_ucxi_resolution_latency_seconds
**Type**: Histogram
**Description**: UCXI address resolution latency
**Usage**: Monitor resolution performance
#### chorus_ucxi_cache_hits_total
**Type**: Counter
**Description**: UCXI cache hit count
**Usage**: Monitor caching effectiveness
#### chorus_ucxi_cache_misses_total
**Type**: Counter
**Description**: UCXI cache miss count
**Usage**: Monitor caching effectiveness
#### chorus_ucxi_content_size_bytes
**Type**: Histogram
**Description**: Size of resolved UCXI content
**Usage**: Monitor content distribution
### Resource Utilization Metrics
#### chorus_cpu_usage_ratio
**Type**: Gauge
**Description**: CPU usage ratio
**Value**: 0.0 (idle) to 1.0 (fully utilized)
#### chorus_memory_usage_bytes
**Type**: Gauge
**Description**: Memory usage in bytes
**Value**: Current memory consumption
#### chorus_disk_usage_ratio
**Type**: Gauge
**Description**: Disk usage ratio
**Labels**: `mount_point`
**Value**: 0.0 (empty) to 1.0 (full)
#### chorus_network_bytes_in_total
**Type**: Counter
**Description**: Total bytes received from network
**Usage**: Track inbound network traffic
#### chorus_network_bytes_out_total
**Type**: Counter
**Description**: Total bytes sent to network
**Usage**: Track outbound network traffic
#### chorus_goroutines
**Type**: Gauge
**Description**: Number of active goroutines
**Value**: Current goroutine count
### Error Metrics
#### chorus_errors_total
**Type**: Counter
**Description**: Total number of errors
**Labels**: `component`, `error_type`
**Usage**: Track error frequency by component and type
#### chorus_panics_total
**Type**: Counter
**Description**: Total number of panics recovered
**Usage**: Monitor system stability
## Usage Examples
### Basic Initialization
```go
import "chorus/pkg/metrics"
// Create metrics collector with default config
config := metrics.DefaultMetricsConfig()
config.NodeID = "chorus-node-01"
config.Version = "v1.0.0"
config.Environment = "production"
config.Cluster = "cluster-01"
metricsCollector := metrics.NewCHORUSMetrics(config)
// Start metrics HTTP server
if err := metricsCollector.StartServer(config); err != nil {
log.Fatalf("Failed to start metrics server: %v", err)
}
// Start background metric collection
metricsCollector.CollectMetrics(config)
```
### Recording P2P Metrics
```go
// Update peer count
metricsCollector.SetConnectedPeers(5)
// Record message sent
metricsCollector.IncrementMessagesSent("task_assignment", "peer-abc123")
// Record message received
metricsCollector.IncrementMessagesReceived("task_result", "peer-def456")
// Record message latency
startTime := time.Now()
// ... send message and wait for response ...
latency := time.Since(startTime)
metricsCollector.ObserveMessageLatency("task_assignment", latency)
```
### Recording DHT Metrics
```go
// Record DHT put operation
startTime := time.Now()
err := dht.Put(key, value)
latency := time.Since(startTime)
if err != nil {
metricsCollector.IncrementDHTPutOperations("failure")
metricsCollector.ObserveDHTOperationLatency("put", "failure", latency)
} else {
metricsCollector.IncrementDHTPutOperations("success")
metricsCollector.ObserveDHTOperationLatency("put", "success", latency)
}
// Update DHT statistics
metricsCollector.SetDHTProviderRecords(150)
metricsCollector.SetDHTContentKeys(450)
metricsCollector.SetDHTReplicationFactor("key-hash-123", 3.0)
```
### Recording PubSub Metrics
```go
// Update topic count
metricsCollector.SetPubSubTopics(10)
// Record message published
metricsCollector.IncrementPubSubMessages("CHORUS/tasks/v1", "sent", "task_created")
// Record message received
metricsCollector.IncrementPubSubMessages("CHORUS/tasks/v1", "received", "task_completed")
// Record message latency
startTime := time.Now()
// ... publish message and wait for delivery confirmation ...
latency := time.Since(startTime)
metricsCollector.ObservePubSubMessageLatency("CHORUS/tasks/v1", latency)
```
### Recording Election Metrics
```go
// Update election state
metricsCollector.SetElectionTerm(42)
metricsCollector.SetElectionState("idle")
// Record heartbeat sent (leader)
metricsCollector.IncrementHeartbeatsSent()
// Record heartbeat received (follower)
metricsCollector.IncrementHeartbeatsReceived()
// Record leadership change
metricsCollector.IncrementLeadershipChanges()
```
### Recording Health Metrics
```go
// Record health check success
metricsCollector.IncrementHealthCheckPassed("database-connectivity")
// Record health check failure
metricsCollector.IncrementHealthCheckFailed("p2p-connectivity", "no_peers")
// Update health scores
metricsCollector.SetSystemHealthScore(0.95)
metricsCollector.SetComponentHealthScore("dht", 0.98)
metricsCollector.SetComponentHealthScore("pubsub", 0.92)
```
### Recording Task Metrics
```go
// Update task counts
metricsCollector.SetActiveTasks(5)
metricsCollector.SetQueuedTasks(12)
// Record task completion
startTime := time.Now()
// ... execute task ...
duration := time.Since(startTime)
metricsCollector.IncrementTasksCompleted("success", "data_processing")
metricsCollector.ObserveTaskDuration("data_processing", "success", duration)
```
### Recording SLURP Metrics
```go
// Record context generation
startTime := time.Now()
// ... generate SLURP context ...
duration := time.Since(startTime)
metricsCollector.IncrementSLURPGenerated("admin", "success")
metricsCollector.ObserveSLURPGenerationTime(duration)
// Update queue length
metricsCollector.SetSLURPQueueLength(3)
```
### Recording SHHH Metrics
```go
// Record secret findings
findings := scanForSecrets(content)
for _, finding := range findings {
metricsCollector.IncrementSHHHFindings(finding.Rule, finding.Severity, 1)
}
```
### Recording Resource Metrics
```go
import "runtime"
// Get runtime stats
var memStats runtime.MemStats
runtime.ReadMemStats(&memStats)
metricsCollector.SetMemoryUsage(float64(memStats.Alloc))
metricsCollector.SetGoroutines(runtime.NumGoroutine())
// Record system resource usage
metricsCollector.SetCPUUsage(0.45) // 45% CPU usage
metricsCollector.SetDiskUsage("/var/lib/CHORUS", 0.73) // 73% disk usage
```
### Recording Errors
```go
// Record error occurrence
if err != nil {
metricsCollector.IncrementErrors("dht", "timeout")
}
// Record recovered panic
defer func() {
if r := recover(); r != nil {
metricsCollector.IncrementPanics()
// Handle panic...
}
}()
```
## Prometheus Integration
### Scrape Configuration
Add the following to your `prometheus.yml`:
```yaml
scrape_configs:
- job_name: 'chorus-nodes'
scrape_interval: 15s
scrape_timeout: 10s
metrics_path: '/metrics'
static_configs:
- targets:
- 'chorus-node-01:9090'
- 'chorus-node-02:9090'
- 'chorus-node-03:9090'
relabel_configs:
- source_labels: [__address__]
target_label: instance
- source_labels: [__address__]
regex: '([^:]+):.*'
target_label: node
replacement: '${1}'
```
### Example Queries
#### P2P Network Health
```promql
# Average connected peers across cluster
avg(chorus_p2p_connected_peers)
# Message rate per second
rate(chorus_p2p_messages_sent_total[5m])
# 95th percentile message latency
histogram_quantile(0.95, rate(chorus_p2p_message_latency_seconds_bucket[5m]))
```
#### DHT Performance
```promql
# DHT operation success rate
rate(chorus_dht_get_operations_total{status="success"}[5m]) /
rate(chorus_dht_get_operations_total[5m])
# Average DHT operation latency
rate(chorus_dht_operation_latency_seconds_sum[5m]) /
rate(chorus_dht_operation_latency_seconds_count[5m])
# DHT cache hit rate
rate(chorus_dht_cache_hits_total[5m]) /
(rate(chorus_dht_cache_hits_total[5m]) + rate(chorus_dht_cache_misses_total[5m]))
```
#### Election Stability
```promql
# Leadership changes per hour
rate(chorus_leadership_changes_total[1h]) * 3600
# Nodes by election state
sum by (state) (chorus_election_state)
# Heartbeat rate
rate(chorus_heartbeats_sent_total[5m])
```
#### Task Management
```promql
# Task success rate
rate(chorus_tasks_completed_total{status="success"}[5m]) /
rate(chorus_tasks_completed_total[5m])
# Average task duration
histogram_quantile(0.50, rate(chorus_task_duration_seconds_bucket[5m]))
# Task queue depth
chorus_tasks_queued
```
#### Resource Utilization
```promql
# CPU usage by node
chorus_cpu_usage_ratio
# Memory usage by node
chorus_memory_usage_bytes / (1024 * 1024 * 1024) # Convert to GB
# Disk usage alert (>90%)
chorus_disk_usage_ratio > 0.9
```
#### System Health
```promql
# Overall system health score
chorus_system_health_score
# Component health scores
chorus_component_health_score
# Health check failure rate
rate(chorus_health_checks_failed_total[5m])
```
### Alerting Rules
Example Prometheus alerting rules for CHORUS:
```yaml
groups:
- name: chorus_alerts
interval: 30s
rules:
# P2P connectivity alerts
- alert: LowPeerCount
expr: chorus_p2p_connected_peers < 2
for: 5m
labels:
severity: warning
annotations:
summary: "Low P2P peer count on {{ $labels.instance }}"
description: "Node has {{ $value }} peers (minimum: 2)"
# DHT performance alerts
- alert: HighDHTFailureRate
expr: |
rate(chorus_dht_get_operations_total{status="failure"}[5m]) /
rate(chorus_dht_get_operations_total[5m]) > 0.1
for: 10m
labels:
severity: warning
annotations:
summary: "High DHT failure rate on {{ $labels.instance }}"
description: "DHT failure rate: {{ $value | humanizePercentage }}"
# Election stability alerts
- alert: FrequentLeadershipChanges
expr: rate(chorus_leadership_changes_total[1h]) * 3600 > 5
for: 15m
labels:
severity: warning
annotations:
summary: "Frequent leadership changes"
description: "{{ $value }} leadership changes per hour"
# Task management alerts
- alert: HighTaskQueueDepth
expr: chorus_tasks_queued > 100
for: 10m
labels:
severity: warning
annotations:
summary: "High task queue depth on {{ $labels.instance }}"
description: "{{ $value }} tasks queued"
# Resource alerts
- alert: HighMemoryUsage
expr: chorus_memory_usage_bytes > 8 * 1024 * 1024 * 1024 # 8GB
for: 5m
labels:
severity: warning
annotations:
summary: "High memory usage on {{ $labels.instance }}"
description: "Memory usage: {{ $value | humanize1024 }}B"
- alert: HighDiskUsage
expr: chorus_disk_usage_ratio > 0.9
for: 10m
labels:
severity: critical
annotations:
summary: "High disk usage on {{ $labels.instance }}"
description: "Disk usage: {{ $value | humanizePercentage }}"
# Health monitoring alerts
- alert: LowSystemHealth
expr: chorus_system_health_score < 0.75
for: 5m
labels:
severity: warning
annotations:
summary: "Low system health score on {{ $labels.instance }}"
description: "Health score: {{ $value }}"
- alert: ComponentUnhealthy
expr: chorus_component_health_score < 0.5
for: 10m
labels:
severity: warning
annotations:
summary: "Component {{ $labels.component }} unhealthy"
description: "Health score: {{ $value }}"
```
## HTTP Endpoints
### Metrics Endpoint
**URL**: `/metrics`
**Method**: GET
**Description**: Prometheus metrics in text exposition format
**Response Format**:
```
# HELP chorus_p2p_connected_peers Number of connected P2P peers
# TYPE chorus_p2p_connected_peers gauge
chorus_p2p_connected_peers 5
# HELP chorus_dht_put_operations_total Total number of DHT put operations
# TYPE chorus_dht_put_operations_total counter
chorus_dht_put_operations_total{status="success"} 1523
chorus_dht_put_operations_total{status="failure"} 12
# HELP chorus_task_duration_seconds Task execution duration
# TYPE chorus_task_duration_seconds histogram
chorus_task_duration_seconds_bucket{task_type="data_processing",status="success",le="0.001"} 0
chorus_task_duration_seconds_bucket{task_type="data_processing",status="success",le="0.005"} 12
chorus_task_duration_seconds_bucket{task_type="data_processing",status="success",le="0.01"} 45
...
```
### Health Endpoint
**URL**: `/health`
**Method**: GET
**Description**: Basic health check for metrics server
**Response**: `200 OK` with body `OK`
## Best Practices
### Metric Naming
- Use descriptive metric names with `chorus_` prefix
- Follow Prometheus naming conventions: `component_metric_unit`
- Use `_total` suffix for counters
- Use `_seconds` suffix for time measurements
- Use `_bytes` suffix for size measurements
### Label Usage
- Keep label cardinality low (avoid high-cardinality labels like request IDs)
- Use consistent label names across metrics
- Document label meanings and expected values
- Avoid labels that change frequently
### Performance Considerations
- Metrics collection is lock-free for read operations
- Histogram observations are optimized for high throughput
- Background collectors run on separate goroutines
- Custom registry prevents pollution of default registry
### Error Handling
- Metrics collection should never panic
- Failed metric updates should be logged but not block operations
- Use nil checks before accessing metrics collectors
### Testing
```go
func TestMetrics(t *testing.T) {
config := metrics.DefaultMetricsConfig()
config.NodeID = "test-node"
m := metrics.NewCHORUSMetrics(config)
// Test metric updates
m.SetConnectedPeers(5)
m.IncrementMessagesSent("test", "peer1")
// Verify metrics are collected
// (Use prometheus testutil for verification)
}
```
## Troubleshooting
### Metrics Not Appearing
1. Verify metrics server is running: `curl http://localhost:9090/metrics`
2. Check configuration: ensure correct `ListenAddr` and `MetricsPath`
3. Verify Prometheus scrape configuration
4. Check for errors in application logs
### High Memory Usage
1. Review label cardinality (check for unbounded label values)
2. Adjust histogram buckets if too granular
3. Reduce metric collection frequency
4. Consider metric retention policies in Prometheus
### Missing Metrics
1. Ensure metric is being updated by application code
2. Verify metric registration in `initializeMetrics()`
3. Check for race conditions in metric access
4. Review metric type compatibility (Counter vs Gauge vs Histogram)
## Migration Guide
### From Default Prometheus Registry
```go
// Old approach
prometheus.MustRegister(myCounter)
// New approach
config := metrics.DefaultMetricsConfig()
m := metrics.NewCHORUSMetrics(config)
// Use m.IncrementErrors(...) instead of direct counter access
```
### Adding New Metrics
1. Add metric field to `CHORUSMetrics` struct
2. Initialize metric in `initializeMetrics()` method
3. Add helper methods for updating the metric
4. Document the metric in this file
5. Add Prometheus queries and alerts as needed
## Related Documentation
- [Health Package Documentation](./health.md)
- [Shutdown Package Documentation](./shutdown.md)
- [Prometheus Documentation](https://prometheus.io/docs/)
- [Prometheus Best Practices](https://prometheus.io/docs/practices/naming/)

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