mirror of
https://github.com/open-jarvis/OpenJarvis.git
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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>
36 lines
976 B
Python
36 lines
976 B
Python
"""Tests for the learning policy ABC taxonomy."""
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from __future__ import annotations
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import pytest
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from openjarvis.learning._stubs import (
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AgentLearningPolicy,
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IntelligenceLearningPolicy,
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LearningPolicy,
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)
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class TestLearningPolicyABC:
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def test_cannot_instantiate_base(self):
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with pytest.raises(TypeError):
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LearningPolicy()
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def test_cannot_instantiate_intelligence(self):
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with pytest.raises(TypeError):
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IntelligenceLearningPolicy()
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def test_cannot_instantiate_agent(self):
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with pytest.raises(TypeError):
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AgentLearningPolicy()
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def test_target_intelligence(self):
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assert IntelligenceLearningPolicy.target == "intelligence"
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def test_target_agent(self):
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assert AgentLearningPolicy.target == "agent"
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def test_hierarchy(self):
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assert issubclass(IntelligenceLearningPolicy, LearningPolicy)
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assert issubclass(AgentLearningPolicy, LearningPolicy)
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