Commit Graph
6 Commits
Author SHA1 Message Date
Jon Saad-FalconandClaude Opus 4.6 852259f18b Restructure codebase into 5-pillar architecture with MCP tool management, composition layer, and structured learning
Phase 1: Move RoutingContext to core/types.py, add RouterPolicy and QueryAnalyzer ABCs to intelligence/_stubs.py
Phase 2: Move memory backends to tools/storage/, convert memory/ to backward-compat shims
Phase 3: Add MCPToolAdapter, storage MCP tools, upgrade MCP server to spec 2025-11-25
Phase 4: Add SystemBuilder + JarvisSystem composition layer (system.py)
Phase 5: Add InstrumentedEngine for opt-in telemetry, simplify all agents
Phase 6: Add LearningPolicy ABC taxonomy with SFTPolicy, AgentAdvisorPolicy, ICLUpdaterPolicy
Phase 7: Update config schema (ToolsConfig, MCPConfig, TracesConfig, per-pillar learning policies)

Also: update all docs, README (DSPy-inspired), CLAUDE.md, and add logo assets.
1391 tests pass, 32 skipped. Zero new lint errors. Full backward compatibility via shims.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 05:57:13 +00:00
Jon Saad-FalconandClaude Opus 4.6 a433740809 Add 30 tests for security/channels coverage gaps and 6 new docs pages
Tests: GuardrailsEngine.stream() async tests, OpenClawChannelBridge listener_loop
tests, channel CLI command tests, FileReadTool sensitive file blocking, ingest_path
sensitive file filtering, SecurityConfig/ChannelConfig config tests. Documentation:
new user guides, architecture pages, and API references for Security and Channels
modules; updated CLAUDE.md, configuration docs, CLI reference, and mkdocs.yml nav.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 03:31:19 +00:00
Jon Saad-FalconandClaude Opus 4.6 d012e6a482 Fix URL summarization, large text handling, and streaming pipeline bugs
- Add URL detection, normalization, and direct fetching to web_search tool
  (handles standalone URLs, embedded URLs, arxiv PDF→abs conversion)
- Add URL pre-expansion in OpenHands agent to bypass tool loop for URL queries
- Add input truncation (_truncate_if_needed) to prevent context window overflow
- Fix stream_bridge ToolResult field access (content/latency_seconds vs output/latency_ms)
- Add XML tool call format parser alongside Action:/Action Input: format
- Reduce default max_turns from 10→3 to cap worst-case response time
- Add empty response fallback text in frontend useChat hook
- Add channels system, security module, and model catalog updates
- Add 30+ new tests for URL fetching, truncation, and agent behavior

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 03:17:05 +00:00
Jon Saad-FalconandClaude Opus 4.6 990d7d8a79 Expand test suite to 1031 tests: new agents, tools, MCP layer, model catalog
Add ReAct and OpenHands agents, WebSearch and CodeInterpreter tools,
full MCP protocol layer (server/client/transport), Gemini cloud engine
support, 12 new model specs (4 local MoE + 8 cloud), trace system,
and comprehensive test coverage across all dimensions (hardware, engine,
memory, agents, tools, MCP, integration).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-21 04:59:11 +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