Files
OpenJarvis/tests/learning/test_learning_taxonomy.py
T
Jon Saad-FalconandClaude Opus 4.6 8d538cd1b0 Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy
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>
2026-02-23 18:32:32 +00:00

36 lines
976 B
Python

"""Tests for the learning policy ABC taxonomy."""
from __future__ import annotations
import pytest
from openjarvis.learning._stubs import (
AgentLearningPolicy,
IntelligenceLearningPolicy,
LearningPolicy,
)
class TestLearningPolicyABC:
def test_cannot_instantiate_base(self):
with pytest.raises(TypeError):
LearningPolicy()
def test_cannot_instantiate_intelligence(self):
with pytest.raises(TypeError):
IntelligenceLearningPolicy()
def test_cannot_instantiate_agent(self):
with pytest.raises(TypeError):
AgentLearningPolicy()
def test_target_intelligence(self):
assert IntelligenceLearningPolicy.target == "intelligence"
def test_target_agent(self):
assert AgentLearningPolicy.target == "agent"
def test_hierarchy(self):
assert issubclass(IntelligenceLearningPolicy, LearningPolicy)
assert issubclass(AgentLearningPolicy, LearningPolicy)