# API Intelligence Layer - Implementation Progress

**Started:** 2025-12-26
**Completed:** 2025-12-26
**Version:** 3.2.0
**Branch:** master

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## All Tasks Completed (10/10)

### Task 1: API Client Foundation ✅
**Files Created:**
- `src/mind/v3/api/__init__.py` - Module exports
- `src/mind/v3/api/client.py` - ClaudeClient and ClaudeConfig
- `tests/v3/api/test_client.py` - 18 tests

**What it does:**
- `ClaudeConfig` dataclass with api_key, intelligence_level, max_retries, timeout, max_tokens
- `ClaudeConfig.from_env()` loads from ANTHROPIC_API_KEY and MIND_INTELLIGENCE_LEVEL
- `ClaudeClient` with `call_haiku()`, `call_sonnet()`, `call_opus()` async methods
- `enabled` property - True only if api_key set AND level != FREE
- Uses `anthropic.AsyncAnthropic` with proper async/await
- Specific exception handling (AuthenticationError, RateLimitError, APIError)

**Tests:** 18/18 passing

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### Task 2: Intelligence Levels Configuration ✅
**Files Created:**
- `src/mind/v3/api/levels.py` - IntelligenceLevel and LEVELS dict
- `tests/v3/api/test_levels.py` - 17 tests

**What it does:**
- `IntelligenceLevel` dataclass with name, description, extraction_model, reranking_model, summary_model, estimated_cost
- `LEVELS` dict with 5 levels:
  - **FREE** - $0/mo, all None models (local only)
  - **LITE** - ~$2/mo, haiku extraction only
  - **BALANCED** - ~$15/mo, haiku extraction/reranking, sonnet summaries
  - **PRO** - ~$40/mo, haiku extraction, sonnet reranking/summaries
  - **ULTRA** - ~$150/mo, sonnet extraction, opus reranking/summaries
- `get_level(name)` function with fallback to FREE

**Tests:** 17/17 passing

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### Task 3: Add API Config to V3Settings ✅
**Files Modified:**
- `src/mind/v3/config.py` - Added ClaudeConfig import and api field
- `tests/v3/test_config.py` - Added TestAPIConfig class

**What it does:**
- V3Settings now has `api: ClaudeConfig` field
- Loads from dict: `{"api": {"intelligence_level": "BALANCED"}}`
- Environment overrides: ANTHROPIC_API_KEY, MIND_INTELLIGENCE_LEVEL

**Tests:** 15/15 passing (3 new API config tests)

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### Task 4: Enhanced Event Types ✅
**Already existed in codebase:**
- `src/mind/v3/capture/events.py` - Pydantic event models

**Available event types:**
- `UserMessageEvent` - User messages with role/content
- `AssistantMessageEvent` - Assistant responses
- `ToolCallEvent` - Tool invocations with name, arguments, result
- `ToolResultEvent` - Tool results
- `DecisionEvent` - Decisions with action, reasoning, alternatives
- `ErrorEvent` - Errors with type, message, context
- `FileChangeEvent` - File modifications

**Tests:** 13/13 passing

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### Task 5: Session Event Store ✅
**Files Modified:**
- `src/mind/v3/capture/store.py` - Added SessionEventStore class
- `tests/v3/capture/test_store.py` - Added 7 tests

**What it does:**
- `SessionEventStore` class for in-memory session tracking
- `session_id` in format YYYYMMDD_HHMMSS
- `add(event)` - Add event, triggers callback every 10 events
- `get_events_since(timestamp)` - Filter events by time
- `set_processing_callback(fn)` - Set batch processing callback
- `persist()` - Save to `.mind/v3/sessions/<session_id>.json`
- `clear()` - Clear all events

**Tests:** 16/16 passing (9 original + 7 new)

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### Task 6: Event Categorizer ✅
**Files Created:**
- `src/mind/v3/processing/__init__.py` - Module exports
- `src/mind/v3/processing/categorize.py` - EventCategorizer class
- `tests/v3/processing/__init__.py`
- `tests/v3/processing/test_categorize.py` - 10 tests

**What it does:**
- `EventCategorizer` class with local heuristics + API escalation
- Categories: decision, learning, problem, progress, exploration, routine
- Keyword patterns for local categorization (decided, learned, bug, fixed, etc.)
- Escalate to Haiku when confidence < 0.6 and API enabled
- Filter out routine events (Read, Glob, Grep, Bash calls)

**Tests:** 10/10 passing

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### Task 7: Session End Synthesizer ✅
**Files Created:**
- `src/mind/v3/synthesis/__init__.py` - Module exports
- `src/mind/v3/synthesis/session_end.py` - SessionEndSynthesizer class
- `tests/v3/synthesis/__init__.py`
- `tests/v3/synthesis/test_session_end.py` - 8 tests

**What it does:**
- `SessionEndSynthesizer` class for AI-powered session summaries
- `SessionSummary` dataclass with summary, decisions, learnings, unresolved
- Uses Sonnet (or Opus for ULTRA) to analyze session transcript
- Double-confirms decisions against graph store
- Stores summary in graph

**Tests:** 8/8 passing

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### Task 8: Bridge Integration ✅
**Files Modified:**
- `src/mind/v3/bridge.py` - Added API client and event store
- `tests/v3/test_bridge.py` - Added TestV3BridgeAPI class

**What it does:**
- Initialize `ClaudeClient` from config
- Initialize `SessionEventStore` for session tracking
- Add `finalize_session_async()` method for session synthesis
- Add `api_enabled` to stats

**Tests:** 22/22 passing (18 original + 4 new)

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### Task 9: CLI init Intelligence Level ✅
**Files Modified:**
- `src/mind/cli.py` - Added intelligence level selection

**What it does:**
- Add intelligence level selection during `mind init`
- Show 5 options with cost estimates
- Check for ANTHROPIC_API_KEY if non-FREE level chosen
- Save to config and display in settings

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### Task 10: Test Suite and Version Bump ✅
- **All 528 v3 tests pass**
- **Version bumped to 3.2.0**

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## Final Test Summary

| Module | Tests | Status |
|--------|-------|--------|
| tests/v3/api/test_client.py | 18 | ✅ |
| tests/v3/api/test_levels.py | 17 | ✅ |
| tests/v3/test_config.py | 15 | ✅ |
| tests/v3/capture/test_events.py | 13 | ✅ |
| tests/v3/capture/test_store.py | 16 | ✅ |
| tests/v3/processing/test_categorize.py | 10 | ✅ |
| tests/v3/synthesis/test_session_end.py | 8 | ✅ |
| tests/v3/test_bridge.py | 22 | ✅ |
| (+ all other v3 tests) | 409 | ✅ |
| **Total v3 tests** | **528** | ✅ |

---

## Git History

```
9c3c380 feat(cli): add intelligence level selection to mind init
e27d675 feat(v3): integrate API client and synthesis into bridge
ba9a064 feat(v3): add SessionEndSynthesizer for AI session summaries
485c793 feat(v3): add EventCategorizer with API escalation
65964ca feat(v3): add SessionEventStore for active capture
0eaacb3 feat(v3): add API config to V3Settings
3d7f4d4 feat(v3): add intelligence levels configuration
8c3fdfd fix(v3): address code quality issues in API client
f5f5830 feat(v3): add Claude API client foundation
6f25670 docs: add detailed implementation plan for API intelligence layer
cab864a docs: add API intelligence layer design for Phase 8
```

All commits pushed to origin/master.

---

## Summary

Phase 8 (API Intelligence Layer) is now complete. Mind v3 can now:

1. **Use Claude API for enhanced extraction** - Via `ClaudeClient` with Haiku/Sonnet/Opus support
2. **Scale with intelligence levels** - FREE to ULTRA with increasing capability/cost
3. **Categorize events with AI assistance** - Local heuristics with API escalation for low-confidence items
4. **Generate AI-powered session summaries** - `SessionEndSynthesizer` extracts decisions, learnings, and unresolved items
5. **Configure intelligence level during init** - User selects from 5 tiers with cost estimates
