mirror of
https://github.com/NousResearch/hermes-agent.git
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a0a02c1bc0
Adds an optional focus topic to /compress: `/compress database schema` guides the summariser to preserve information related to the focus topic (60-70% of summary budget) while compressing everything else more aggressively. Inspired by Claude Code's /compact <focus>. Changes: - context_compressor.py: focus_topic parameter on _generate_summary() and compress(); appends FOCUS TOPIC guidance block to the LLM prompt - run_agent.py: focus_topic parameter on _compress_context(), passed through to the compressor - cli.py: _manual_compress() extracts focus topic from command string, preserves existing manual_compression_feedback integration (no regression) - gateway/run.py: _handle_compress_command() extracts focus from event args and passes through — full gateway parity - commands.py: args_hint="[focus topic]" on /compress CommandDef Salvaged from PR #7459 (CLI /compress focus only — /context command deferred). 15 new tests across CLI, compressor, and gateway.
118 lines
4.4 KiB
Python
118 lines
4.4 KiB
Python
"""Tests for gateway /compress <focus> — focus topic on the gateway side."""
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from datetime import datetime
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from unittest.mock import MagicMock, patch
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import pytest
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from gateway.config import GatewayConfig, Platform, PlatformConfig
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from gateway.platforms.base import MessageEvent
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from gateway.session import SessionEntry, SessionSource, build_session_key
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def _make_source() -> SessionSource:
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return SessionSource(
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platform=Platform.TELEGRAM,
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user_id="u1",
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chat_id="c1",
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user_name="tester",
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chat_type="dm",
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)
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def _make_event(text: str = "/compress") -> MessageEvent:
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return MessageEvent(text=text, source=_make_source(), message_id="m1")
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def _make_history() -> list[dict[str, str]]:
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return [
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{"role": "user", "content": "one"},
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{"role": "assistant", "content": "two"},
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{"role": "user", "content": "three"},
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{"role": "assistant", "content": "four"},
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]
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def _make_runner(history: list[dict[str, str]]):
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from gateway.run import GatewayRunner
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runner = object.__new__(GatewayRunner)
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runner.config = GatewayConfig(
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platforms={Platform.TELEGRAM: PlatformConfig(enabled=True, token="***")}
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)
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session_entry = SessionEntry(
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session_key=build_session_key(_make_source()),
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session_id="sess-1",
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created_at=datetime.now(),
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updated_at=datetime.now(),
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platform=Platform.TELEGRAM,
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chat_type="dm",
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)
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runner.session_store = MagicMock()
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runner.session_store.get_or_create_session.return_value = session_entry
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runner.session_store.load_transcript.return_value = history
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runner.session_store.rewrite_transcript = MagicMock()
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runner.session_store.update_session = MagicMock()
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runner.session_store._save = MagicMock()
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return runner
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@pytest.mark.asyncio
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async def test_compress_focus_topic_passed_to_agent():
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"""Focus topic from /compress <focus> is passed through to _compress_context."""
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history = _make_history()
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compressed = [history[0], history[-1]]
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runner = _make_runner(history)
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agent_instance = MagicMock()
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agent_instance.context_compressor.protect_first_n = 0
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agent_instance.context_compressor._align_boundary_forward.return_value = 0
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agent_instance.context_compressor._find_tail_cut_by_tokens.return_value = 2
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agent_instance.session_id = "sess-1"
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agent_instance._compress_context.return_value = (compressed, "")
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def _estimate(messages):
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return 100
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with (
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patch("gateway.run._resolve_runtime_agent_kwargs", return_value={"api_key": "***"}),
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patch("gateway.run._resolve_gateway_model", return_value="test-model"),
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patch("run_agent.AIAgent", return_value=agent_instance),
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patch("agent.model_metadata.estimate_messages_tokens_rough", side_effect=_estimate),
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):
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result = await runner._handle_compress_command(_make_event("/compress database schema"))
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# Verify focus_topic was passed
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agent_instance._compress_context.assert_called_once()
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call_kwargs = agent_instance._compress_context.call_args
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assert call_kwargs.kwargs.get("focus_topic") == "database schema"
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# Verify focus is mentioned in response
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assert 'Focus: "database schema"' in result
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@pytest.mark.asyncio
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async def test_compress_no_focus_passes_none():
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"""Bare /compress passes focus_topic=None."""
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history = _make_history()
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runner = _make_runner(history)
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agent_instance = MagicMock()
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agent_instance.context_compressor.protect_first_n = 0
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agent_instance.context_compressor._align_boundary_forward.return_value = 0
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agent_instance.context_compressor._find_tail_cut_by_tokens.return_value = 2
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agent_instance.session_id = "sess-1"
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agent_instance._compress_context.return_value = (list(history), "")
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with (
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patch("gateway.run._resolve_runtime_agent_kwargs", return_value={"api_key": "***"}),
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patch("gateway.run._resolve_gateway_model", return_value="test-model"),
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patch("run_agent.AIAgent", return_value=agent_instance),
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patch("agent.model_metadata.estimate_messages_tokens_rough", return_value=100),
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):
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result = await runner._handle_compress_command(_make_event("/compress"))
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agent_instance._compress_context.assert_called_once()
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call_kwargs = agent_instance._compress_context.call_args
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assert call_kwargs.kwargs.get("focus_topic") is None
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# No focus line in response
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assert "Focus:" not in result
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