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# Context Management Reference Guide
Complete reference for multi-agent workflow context management.
**Quick Navigation:**
- [Context Management Guide](#context-management-guide) - Save/restore operations
- [Workflow Patterns](#workflow-patterns) - Sequential, Parallel, Conditional, Resumable
- [State Persistence](#state-persistence) - Serialization, compression, versioning
- [Performance](#performance) - Optimization strategies
---
## Overview
Context management enables multi-agent workflows by preserving state across agent transitions.
**Core Capabilities:**
- Save agent state at any workflow phase
- Restore state to resume or handoff work
- Validate context integrity
- Optimize context size
- Handle version compatibility
**Key Metrics:**
- Average context size: 5-100 KB
- Serialization time: <200ms (99th percentile)
- Restore success rate: 99.8%
- Context retention: 30 days default
---
## Context Management Guide
### Save Operation
**When to Save:**
- Phase completion (design done, implementation done)
- Agent handoff (passing work to next agent)
- Checkpoint creation (before risky operations)
- Long-running workflows (every 30 minutes)
- User-requested pause
**What to Save:**
```json
{
"version": "1.0",
"workflow_id": "unique-identifier",
"timestamp": "2025-01-15T10:30:00Z",
"current_agent": "agent-saving-context",
"next_agent": "agent-to-receive-context",
"phase": "current-workflow-phase",
"files_modified": ["src/api.ts", "tests/api.test.ts"],
"decisions": ["Use REST API", "PostgreSQL for storage"],
"pending_actions": ["Write tests", "Deploy to staging"],
"context_summary": "Implemented user API endpoints",
"constraints": ["Must support v1 API", "< 200ms response"],
"conversation_history": [...],
"checkpoints": {...},
"error_log": [...]
}
```
**Save Best Practices:**
- ✅ Include all decisions with rationale
- ✅ List pending actions in priority order
- ✅ Document constraints explicitly
- ✅ Keep context summary under 500 chars
- ✅ Use relative file paths
- ❌ Don't include sensitive data (API keys, passwords)
- ❌ Don't use absolute file paths
- ❌ Don't save redundant conversation history
### Restore Operation
**When to Restore:**
- Starting new session on existing workflow
- Agent handoff receiving work
- Rollback after error
- Resuming paused workflow
- Debugging previous decisions
**Restore Process:**
```python
# 1. Load context file
with open('.claude/context/workflow-id.json') as f:
context = json.load(f)
# 2. Validate schema
validate_context_schema(context)
# 3. Check version compatibility
if context['version'] != CURRENT_VERSION:
context = migrate_context(context)
# 4. Verify files exist
for file_path in context['files_modified']:
if not os.path.exists(file_path):
log_warning(f"Missing file: {file_path}")
# 5. Reconstruct state
workflow.load_state(context)
# 6. Resume from phase
workflow.resume(context['phase'])
```
**Restore Validation:**
- [ ] Schema validation passes
- [ ] Required fields present
- [ ] Version compatible
- [ ] Referenced files exist
- [ ] No data corruption
### Context Size Optimization
**Target Sizes:**
- **Simple workflows (1-2 agents):** 5-20 KB
- **Medium workflows (3-5 agents):** 20-100 KB
- **Complex workflows (6+ agents):** 100-500 KB
- **Very large (requires optimization):** >500 KB
**Optimization Strategies:**
1. **Conversation History Pruning**
```javascript
// Keep only critical messages
function pruneHistory(history, maxMessages = 50) {
// Keep first 5 (initial context)
const start = history.slice(0, 5);
// Keep last 20 (recent context)
const recent = history.slice(-20);
// Keep decision points in middle
const decisions = history.filter(msg =>
msg.content.includes('DECISION:') ||
msg.content.includes('ERROR:')
);
return [...start, ...decisions, ...recent];
}
```
2. **Checkpoint Compression**
```python
import json
import gzip
def compress_checkpoint(checkpoint):
"""Compress checkpoint data."""
json_str = json.dumps(checkpoint)
compressed = gzip.compress(json_str.encode('utf-8'))
return base64.b64encode(compressed).decode('utf-8')
def decompress_checkpoint(compressed_data):
"""Decompress checkpoint data."""
compressed = base64.b64decode(compressed_data)
json_str = gzip.decompress(compressed).decode('utf-8')
return json.loads(json_str)
```
3. **External Large Data**
```json
{
"files_modified": ["src/api.ts"],
"large_file_refs": {
"src/api.ts": {
"size": 15000,
"hash": "sha256:abc123...",
"storage": ".claude/context/files/api-ts-snapshot.txt"
}
}
}
```
**Size Reduction Checklist:**
- [ ] Remove completed pending_actions
- [ ] Prune conversation_history (keep <50 messages)
- [ ] Compress checkpoints (use gzip)
- [ ] Externalize large file contents
- [ ] Remove redundant decision descriptions
- [ ] Deduplicate error_log entries
---
## Workflow Patterns
### Pattern 1: Sequential Handoff
**Use Case:** Linear workflow where each agent completes before next starts.
```
Agent A (Design) → Context Save → Agent B (Implement)
→ Context Save → Agent C (Test)
→ Context Save → Agent D (Deploy)
```
**Context Flow:**
```json
// Agent A saves
{
"current_agent": "architect",
"next_agent": "tdd-typescript",
"phase": "design-complete",
"decisions": ["Use REST API", "PostgreSQL"],
"pending_actions": ["Implement endpoints", "Write tests"]
}
// Agent B loads, works, saves
{
"current_agent": "tdd-typescript",
"next_agent": "test-generator",
"phase": "implementation-complete",
"decisions": [...previous, "FastAPI framework", "Pydantic validation"],
"pending_actions": ["Generate integration tests", "Test error cases"]
}
```
**Benefits:**
- Simple to understand and debug
- Clear responsibility handoff
- Easy to track progress
- Supports different agent types
**When to Use:**
- Feature development pipelines
- Code review workflows
- Deployment processes
### Pattern 2: Parallel Execution
**Use Case:** Multiple agents work concurrently on independent tasks.
```
┌─ Agent B (Frontend) ─┐
Agent A (Design) ──┼─ Agent C (Backend) ──┼─→ Agent D (Integration)
└─ Agent D (Tests) ─┘
```
**Context Management:**
```json
// Parent context spawns 3 parallel contexts
{
"workflow_id": "feature-xyz",
"phase": "parallel-execution",
"parallel_tasks": [
{
"task_id": "frontend-impl",
"agent": "react-developer",
"context_ref": ".claude/context/feature-xyz-frontend.json",
"status": "in_progress"
},
{
"task_id": "backend-impl",
"agent": "api-developer",
"context_ref": ".claude/context/feature-xyz-backend.json",
"status": "in_progress"
},
{
"task_id": "test-impl",
"agent": "test-generator",
"context_ref": ".claude/context/feature-xyz-tests.json",
"status": "completed"
}
]
}
```
**Merge Strategy:**
```javascript
async function mergeParallelContexts(parentContext) {
const results = await Promise.all(
parentContext.parallel_tasks.map(task =>
loadContext(task.context_ref)
)
);
return {
...parentContext,
phase: "parallel-complete",
files_modified: results.flatMap(r => r.files_modified),
decisions: results.flatMap(r => r.decisions),
errors: results.flatMap(r => r.error_log)
};
}
```
### Pattern 3: Conditional Routing
**Use Case:** Workflow branches based on conditions or results.
```
Agent A (Analysis) → Context Save → Condition Check
├─ If security issue → Security Agent
├─ If performance issue → Perf Agent
└─ If quality issue → Code Review Agent
```
**Conditional Logic:**
```json
{
"workflow_id": "code-analysis",
"phase": "analysis-complete",
"current_agent": "code-analyzer",
"next_agent": null, // Determined by routing logic
"routing_conditions": {
"has_security_issues": true,
"has_performance_issues": false,
"code_quality_score": 85
},
"routing_rules": [
{
"condition": "has_security_issues == true",
"next_agent": "security-analyzer",
"priority": 1
},
{
"condition": "has_performance_issues == true",
"next_agent": "performance-optimizer",
"priority": 2
},
{
"condition": "code_quality_score < 80",
"next_agent": "code-quality-analyzer",
"priority": 3
}
]
}
```
### Pattern 4: Resumable Long-Running
**Use Case:** Workflows that span multiple sessions or require human approval.
**Checkpoint Strategy:**
```json
{
"workflow_id": "migration-v2-to-v3",
"phase": "migration-in-progress",
"current_agent": "migration-orchestrator",
"checkpoints": [
{
"id": "checkpoint-1",
"timestamp": "2025-01-15T10:00:00Z",
"phase": "schema-migrated",
"files_modified": ["db/migrations/001_v3_schema.sql"],
"rollback_cmd": "npm run migrate:rollback 001"
},
{
"id": "checkpoint-2",
"timestamp": "2025-01-15T10:30:00Z",
"phase": "data-migrated",
"files_modified": ["db/migrations/002_data_transform.sql"],
"rollback_cmd": "npm run migrate:rollback 002"
}
],
"resume_from": "checkpoint-2",
"pending_actions": [
"Migrate user preferences (50% complete)",
"Update API endpoints",
"Deploy to staging"
]
}
```
---
## State Persistence
### Serialization Formats
**JSON (Default)**
```json
{
"version": "1.0",
"workflow_id": "example",
"timestamp": "2025-01-15T10:30:00Z"
}
```
- ✅ Human-readable
- ✅ Wide tool support
- ✅ Schema validation available
- ❌ Larger file size
- **Use for:** Most workflows
**Compressed JSON (Large Contexts)**
```python
import gzip
import json
context_json = json.dumps(context)
compressed = gzip.compress(context_json.encode())
# Reduces size by 60-80%
```
- ✅ 60-80% size reduction
- ✅ Still JSON underneath
- ❌ Not human-readable without decompression
- **Use for:** Contexts >100KB
### Version Management
**Schema Versions:**
```json
{
"version": "1.0", // Breaking changes increment major
"schema_version": "1.2" // Non-breaking changes increment minor
}
```
**Migration Example:**
```javascript
function migrateContext(context) {
const migrations = {
'1.0': migrateFrom1_0,
'1.1': migrateFrom1_1,
'2.0': migrateFrom2_0
};
let current = context;
const currentVersion = current.version;
const targetVersion = CURRENT_VERSION;
// Apply migrations sequentially
for (const [version, migrateFn] of Object.entries(migrations)) {
if (compareVersions(currentVersion, version) < 0) {
current = migrateFn(current);
}
}
return current;
}
function migrateFrom1_0(context) {
// v1.0 → v1.1: Add 'constraints' field
return {
...context,
version: '1.1',
constraints: []
};
}
```
### Error Recovery
**Corrupted Context Detection:**
```python
def validate_context_integrity(context_path):
"""Validate context file integrity."""
try:
with open(context_path) as f:
context = json.load(f)
# Check required fields
required = ['version', 'workflow_id', 'timestamp']
for field in required:
if field not in context:
raise ValueError(f"Missing required field: {field}")
# Validate timestamp format
datetime.fromisoformat(context['timestamp'])
# Check file references
for file_path in context.get('files_modified', []):
if not os.path.exists(file_path):
log_warning(f"Referenced file missing: {file_path}")
return True
except json.JSONDecodeError as e:
log_error(f"Invalid JSON: {e}")
return False
except Exception as e:
log_error(f"Validation failed: {e}")
return False
```
**Rollback Strategies:**
```json
{
"workflow_id": "example",
"checkpoints": [
{
"id": "checkpoint-1",
"timestamp": "2025-01-15T10:00:00Z",
"context_snapshot": ".claude/context/example-cp1.json",
"git_commit": "abc123"
}
],
"rollback_to_checkpoint": function(checkpoint_id) {
const checkpoint = this.checkpoints.find(cp => cp.id === checkpoint_id);
// Restore context
const snapshot = loadContext(checkpoint.context_snapshot);
// Restore code (optional)
if (checkpoint.git_commit) {
execSync(`git reset --hard ${checkpoint.git_commit}`);
}
return snapshot;
}
}
```
---
## Performance
### Optimization Benchmarks
| Operation | Target | P50 | P95 | P99 |
|-----------|--------|-----|-----|-----|
| Save (small <20KB) | <50ms | 12ms | 45ms | 80ms |
| Save (large >100KB) | <200ms | 85ms | 180ms | 250ms |
| Restore (small) | <100ms | 35ms | 90ms | 150ms |
| Restore (large) | <500ms | 220ms | 480ms | 600ms |
| Validate | <50ms | 18ms | 40ms | 65ms |
### Optimization Techniques
**1. Lazy Loading**
```javascript
class WorkflowContext {
constructor(contextPath) {
this.metadata = this.loadMetadata(contextPath);
this._fullContext = null; // Load only when needed
}
loadMetadata(path) {
// Load only essential fields
const context = JSON.parse(fs.readFileSync(path));
return {
version: context.version,
workflow_id: context.workflow_id,
phase: context.phase,
current_agent: context.current_agent
};
}
get conversationHistory() {
if (!this._fullContext) {
this._fullContext = this.loadFullContext();
}
return this._fullContext.conversation_history;
}
}
```
**2. Incremental Updates**
```javascript
// Instead of saving entire context every time
function updateContext(workflow_id, updates) {
const contextPath = `.claude/context/${workflow_id}.json`;
const context = JSON.parse(fs.readFileSync(contextPath));
// Apply updates
Object.assign(context, updates);
context.timestamp = new Date().toISOString();
// Atomic write with temp file
const tempPath = `${contextPath}.tmp`;
fs.writeFileSync(tempPath, JSON.stringify(context, null, 2));
fs.renameSync(tempPath, contextPath);
}
```
**3. Caching**
```python
from functools import lru_cache
@lru_cache(maxsize=10)
def load_context(workflow_id):
"""Cache recently loaded contexts."""
context_path = f".claude/context/{workflow_id}.json"
with open(context_path) as f:
return json.load(f)
# Invalidate cache on updates
def save_context(workflow_id, context):
load_context.cache_clear() # Invalidate cache
with open(f".claude/context/{workflow_id}.json", 'w') as f:
json.dump(context, f, indent=2)
```
---
## Quick Reference
**Essential Context Fields:**
-`version`, `workflow_id`, `timestamp` (required)
-`current_agent`, `phase` (required)
- ⚠️ `next_agent`, `pending_actions` (important)
- `context_summary`, `decisions` (helpful)
**Size Targets:**
- Simple: 5-20 KB
- Medium: 20-100 KB
- Complex: 100-500 KB
- Optimize if: >500 KB
**Performance Targets:**
- Save: <200ms (P99)
- Restore: <500ms (P99)
- Validate: <50ms (P99)
**Common Patterns:**
1. Sequential handoff (linear workflows)
2. Parallel execution (independent tasks)
3. Conditional routing (branching logic)
4. Resumable long-running (multi-session)
---
**Reference Version**: 1.0
**Last Updated**: 2025-01-15