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4 Commits
Author SHA1 Message Date
Jon Saad-FalconandClaude Opus 4.6 323d7ff032 Add TOML config system for eval suites, pillar-aligned config, and documentation 
- Eval config: TOML-based suite configs defining models x benchmarks matrix,
  loaded via --config flag. Includes load_eval_config(), expand_suite(),
  7 config dataclasses, 3 example configs, and 61 new tests.
- Pillar-aligned config: generation params in IntelligenceConfig, nested
  engine/learning configs, agent objective/system_prompt/context_from_memory,
  structured learning sub-policies, TOML migration layer.
- Documentation: evaluations user guide, evals API reference, updated
  mkdocs.yml navigation, updated architecture docs.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-24 03:34:05 +00:00
Jon Saad-FalconandClaude Opus 4.6 c775d620af Simplify model resolution and refactor tool discovery via MCPServer 
- Remove --router CLI flag from `jarvis ask`; use config fallback chain
  (default_model -> first engine model -> fallback_model) instead
- Simplify SDK _resolve_model() to match the same fallback chain
- Reclassify OrchestratorSFTPolicy and OrchestratorGRPOPolicy as
  IntelligenceLearningPolicy (they fine-tune LM weights, not agent logic)
- Add MCPServer.get_tools() for SystemBuilder integration
- Refactor SystemBuilder._resolve_tools() to discover tools via MCPServer
  with dependency injection, replacing manual per-tool-name imports
- Update CLI router tests to test the new fallback chain

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 18:41:07 +00:00
Jon Saad-FalconandDevin 2faf58f3f7 Fix mock patch targets + add tool fallback for vLLM 
- Use importlib.import_module + patch.object to fix 19 broken tests
  (module shadowing issue in cli/__init__.py)
- Add 400 retry without tools in _openai_compat.py for vLLM servers
  without --enable-auto-tool-choice
- Update NOTES.md with session 2 findings

🤖 Generated with [Devin](https://cli.devin.ai/docs)

Co-Authored-By: Devin <noreply@cognition.ai>
 2026-02-17 04:37:39 +00:00
Jon Saad-FalconandClaude Opus 4.6 301e9cd2d4 Implement OpenJarvis v1.0 — all five pillars, SDK, benchmarks, Docker 
Complete implementation across six development phases (v0.1 through v1.0):

- Core: Registry system, config, event bus, types (Phase 0)
- Intelligence + Inference: Model routing, Ollama/vLLM/llama.cpp/Cloud engines (Phase 1)
- Memory: SQLite/FAISS/ColBERT/BM25/Hybrid backends, document ingest, context injection (Phase 2)
- Agents: Simple/Orchestrator/Custom/OpenClaw agents, tool system (Phase 3)
- Learning: HeuristicRouter, reward functions, GRPO stub, telemetry aggregation (Phase 4)
- SDK: Jarvis class, OpenClaw protocol/transport, benchmarks, Docker deployment (Phase 5)

520 tests passing, 8 skipped (optional deps). Ruff lint clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-17 00:52:48 +00:00