mirror of
https://github.com/open-jarvis/OpenJarvis.git
synced 2026-07-30 10:52:15 +00:00
Jon Saad-FalconandClaude Opus 4.6
8d538cd1b0
Major changes across parallel sessions: - Add orchestrator SFT & GRPO training subpackage (learning/orchestrator/) with episode types, multi-objective reward, prompt registry, policy model, RL environment, and registered learning policies - Add structured THOUGHT/TOOL/INPUT/FINAL_ANSWER mode to OrchestratorAgent - Add 15 channel backends (Discord, Slack, Telegram, Email, Webhook, IRC, Matrix, Teams, WhatsApp, Signal, Mattermost, BlueBubbles, Feishu, Google Chat, Webchat) with channel tools and config - Add LiteLLM engine backend for unified LLM provider access - Add RLM agent and REPL tool - Remove ToolLearningPolicy — learning taxonomy now only targets Intelligence (LM weights/routing) and Agents (logic/ICL/tool strategies) - Rename SFTPolicy to SFTRouterPolicy (backward-compat alias kept) - Remove OpenClaw agent infrastructure (openclaw*.py, openclaw_bridge.py) - Fix async streaming tests (asyncio.run vs deprecated get_event_loop) - Fix server channel route tests (pytest.importorskip for optional fastapi) - Track uv.lock for reproducibility - Update CLAUDE.md and docs to reflect all changes 1676 tests pass, 37 skipped. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
107 lines
2.2 KiB
TOML
107 lines
2.2 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "openjarvis"
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version = "1.0.0"
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description = "OpenJarvis — modular AI assistant backend with composable intelligence pillars"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"click>=8",
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"httpx>=0.27",
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"rich>=13",
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"tomli>=2.0; python_version < '3.11'",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8",
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"pytest-asyncio>=0.24",
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"pytest-cov>=5",
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"respx>=0.22",
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"ruff>=0.4",
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]
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inference-ollama = []
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inference-vllm = []
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inference-llamacpp = []
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inference-cloud = [
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"openai>=1.30",
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"anthropic>=0.30",
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]
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inference-google = [
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"google-genai>=1.0",
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]
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inference-litellm = ["litellm>=1.40"]
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tools-search = [
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"tavily-python>=0.3",
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]
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memory-faiss = [
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"faiss-cpu>=1.7",
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"sentence-transformers>=2.2",
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"numpy>=1.24",
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]
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memory-colbert = [
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"colbert-ai>=0.2",
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"torch>=2.0",
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]
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memory-pdf = ["pdfplumber>=0.10"]
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memory-bm25 = ["rank-bm25>=0.2.2"]
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server = [
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"fastapi>=0.110",
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"uvicorn>=0.30",
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"pydantic>=2.0",
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]
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agents = []
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learning = []
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orchestrator-training = ["torch>=2.0", "transformers>=4.40"]
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channel-telegram = ["python-telegram-bot>=21.0"]
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channel-discord = ["discord.py>=2.3"]
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channel-slack = ["slack-sdk>=3.27"]
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channel-webhook = []
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channel-email = []
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channel-whatsapp = []
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channel-signal = []
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channel-google-chat = []
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channel-irc = []
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channel-webchat = []
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channel-teams = []
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channel-matrix = []
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channel-mattermost = []
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channel-feishu = []
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channel-bluebubbles = []
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docs = [
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"mkdocs>=1.6",
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"mkdocs-material>=9.5",
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"mkdocstrings[python]>=0.25",
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]
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[project.scripts]
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jarvis = "openjarvis.cli:main"
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[tool.hatch.build.targets.wheel]
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packages = ["src/openjarvis"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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markers = [
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"live: requires running inference engine",
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"cloud: requires cloud API keys",
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"nvidia: requires NVIDIA GPU",
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"amd: requires AMD GPU",
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"apple: requires Apple Silicon",
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"slow: long-running test",
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]
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[tool.ruff]
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target-version = "py310"
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src = ["src", "tests"]
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[tool.ruff.lint]
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select = ["E", "F", "I", "W"]
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[tool.ruff.lint.per-file-ignores]
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"evals/datasets/*.py" = ["E501"]
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"evals/scorers/*.py" = ["E501"]
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