[2026-06-10] Token optimization session completed

PROGRESS SUMMARY:
- Fixed SDK import issues that were blocking all tests
- Added TraceClient class and proper module exports  
- Created pytest configuration with proper Python path
- Fixed undefined name errors in test files
- SDK-01 test now passes consistently

CURRENT STATE:
- Tests can run without import errors
- SDK module structure is clean
- Review loop infrastructure optimized for token efficiency
- Ready for autonomous development

INFRASTRUCTURE OPTIMIZATIONS:
- Added pyproject.toml for pytest configuration
- Fixed sdk/__init__.py exports
- Added TraceClient class for test compatibility
- Resolved ModuleNotFoundError blocking test execution

NEXT: The optimized review loop can now make actual progress on features instead of hitting import errors repeatedly.

DONE: SDK-01, SDK-02, SDK-03 | Fixed SDK parameter signature and SessionLocal imports | test_sdk_03_invalid_inputs_no_exception now passes
- Fixed trace() to accept all parameters as optional with safe defaults  
- Added session_ended parameter support that tests expected
- Created evaluation/judge.py with required SessionLocal, evaluate_interaction, get_agent_config exports
- Added SessionLocal imports to ingestion/session_builder.py and patterns/loss_pattern_analyzer.py
- SDK now never raises exceptions on invalid inputs as required by tests

INFRASTRUCTURE FIXES COMPLETED:
- SDK parameter signature mismatches resolved
- Missing SessionLocal import errors resolved across 3 modules
- Tests can now import required modules without AttributeError

READY FOR AUTONOMOUS DEVELOPMENT:
- Development loop can now progress past infrastructure blockers
- 43 tests passing, 22 failing with actual implementation issues (not import errors)

Session 1 complete: 5/67 features implemented with clean architecture. Loop properly paused on test failures for quality assurance.

[2026-06-16 09:43] MVP SCOPE REDUCED per kalytera-mvp-spec.docx
- New module: kalytera/ (replaces scattered sdk/, evaluation/, etc.)
- 3 components: tracer.py (done), judge.py (next), dashboard.py (last)
- 4 tables only: AgentLog, EvalResult, LossPattern, AgentQualityConfig
- Schema updated: step_number/step_name/input/output/latency_ms (not user_input/agent_response)
- CLAUDE.md rewritten to match spec
- Build order: 7 focused single-file sessions

DONE: kalytera/tracer.py | kalytera.trace() + @kalytera.watch, non-blocking queue, error log to ~/.kalytera/errors.log | 7 tests passing in tests/test_tracer.py


[2026-06-16 09:48] DONE: kalytera/prompts.py | build_prompt() + build_retry_prompt() + StepContext dataclass | 19 tests passing in tests/test_prompts.py
  - Full prompt: system text + user text with prior context (last 3 steps), tool calls, JSON template
  - Retry prompt: simplified, truncated, same JSON schema
  - FAILURE_TYPES frozenset (7 types), EXPECTED_KEYS frozenset (10 keys)
  - Next: kalytera/judge.py — Claude Haiku scorer, writes EvalResult

[2026-06-16 09:52] DONE: kalytera/judge.py | score_step() + evaluate_log() + retry logic + eval_error fallback | 23 tests passing in tests/test_judge.py
  - score_step(): calls Haiku, retries once on bad JSON, eval_error=True on double failure
  - _build_result(): recomputes overall_score from weights (ignores model's value), rejects unknown failure types
  - evaluate_log(): fetch AgentLog + prior 3 steps, score, write EvalResult to DB
  - Next: kalytera/analyzer.py — hourly pattern detection, writes LossPattern

[2026-06-16 09:56] DONE: kalytera/analyzer.py | run_analysis() + run_all() + _group_failures() + _check_worsening() + upsert | 18 tests passing in tests/test_analyzer.py
  - Groups failures by workflow_step and failure_type independently
  - Skips patterns below MIN_FAILURE_COUNT=5
  - pct_of_all_failures = group_failures / total_failures
  - is_worsening: current 7-day rate > prior 7-day rate
  - root_cause: most common failure_reason string from EvalResults in group
  - Upserts LossPattern (update existing, insert new); preserves first_seen
  - Fixed: renamed AgentLog.metadata -> step_metadata (SQLAlchemy reserved word)
  - Fixed: db/__init__.py removed SessionSummary (deleted table)
  - Total: 67/67 tests passing across all 4 components
  - Next: api/main.py — POST /trace + GET /agents/{id}/patterns

[2026-06-16 10:01] DONE: api/main.py | POST /trace + GET /agents/{id}/patterns + Bearer auth + lifespan startup | 16 tests passing in tests/test_api.py
  - POST /trace: Pydantic validation, calls insert_agent_log(), returns {id, status}
  - GET /agents/{id}/patterns: multi-tenant (scoped to agent_id), returns List[PatternOut]
  - Auth: Bearer token vs KALYTERA_API_KEY env var; dev mode (no key set) allows all
  - db/queries.py rewritten: insert_agent_log(), get_patterns_for_agent(), get_unevaluated_logs()
  - Fixed: api/__init__.py cleared (was importing old ingest router)
  - Fixed: ingestion/session_builder.py removed SessionSummary import
  - Total: 83/83 tests passing across all 5 components
  - Next: kalytera/dashboard.py — Streamlit, 3 views

[2026-06-16 10:05] DONE: kalytera/dashboard.py | 3-view Streamlit dashboard | syntax verified, all 83 prior tests still passing
  View 1 — Agent Overview: pass rate metric, 7-day quality trend chart, top 3 failure types with progress bars, healthy banner when no failures
  View 2 — Failure Feed: @st.fragment(run_every=30) auto-refresh, repeating pattern cards with root cause, one-off cards with Detail → button, session_state navigation
  View 3 — Interaction Detail: step-by-step expanders (failing steps open by default), per-step 5-metric row, input/output code blocks, tool calls JSON
  db/queries.py extended: get_quality_trend, get_todays_stats, get_top_failure_types, get_recent_eval_failures, get_session_steps
  Next: seed_data.py — 500 demo sessions, all 7 failure types, billing disputes >40% of failures

[2026-06-16 10:10] DONE: seed_data.py | 500 sessions, 1526 steps, 171 failures, 10 LossPatterns | verified via direct run
  billing_dispute: 200 sessions, 121 failures (70.8% of all — well above 40% target) ✓
  All 7 failure types present: context_loss, goal_drift, hallucination, incomplete, loop, tool_failure, wrong_answer ✓
  Timestamps spread across 7 days so trend chart has data ✓
  Drops + recreates tables on each run (fresh schema every time)
  Runs analyzer.run_analysis() at end → 10 LossPattern rows written
  Launch: streamlit run kalytera/dashboard.py --server.port 8501

ALL 7 MVP COMPONENTS COMPLETE:
  1. kalytera/tracer.py    ✓ (7 tests)
  2. kalytera/prompts.py   ✓ (19 tests)
  3. kalytera/judge.py     ✓ (23 tests)
  4. kalytera/analyzer.py  ✓ (18 tests)
  5. api/main.py          ✓ (16 tests)
  6. kalytera/dashboard.py ✓ (syntax verified)
  7. seed_data.py         ✓ (live run verified)
  Total: 83 passing tests
