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https://github.com/NousResearch/hermes-agent.git
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fd324562d3
Let users click the status bar context indicator to see how tokens are split across system prompt, tools, rules, skills, MCP, and conversation. Co-authored-by: Cursor <cursoragent@cursor.com>
60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
"""Tests for live session context breakdown."""
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from unittest.mock import MagicMock, patch
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from agent.context_breakdown import compute_session_context_breakdown
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def _make_agent(
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*,
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stable: str = "identity and guidance",
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context: str = "",
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volatile: str = "timestamp line",
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tools: list | None = None,
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context_length: int = 200_000,
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last_prompt_tokens: int = 0,
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):
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agent = MagicMock()
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agent.model = "openai/gpt-5.4"
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agent.tools = tools or [
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{"type": "function", "function": {"name": "terminal", "description": "run"}},
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{"type": "function", "function": {"name": "mcp_demo_tool", "description": "mcp"}},
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{"type": "function", "function": {"name": "delegate_task", "description": "spawn"}},
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]
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agent._memory_store = None
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agent._memory_enabled = True
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agent._user_profile_enabled = True
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agent.context_compressor = MagicMock(
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context_length=context_length,
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last_prompt_tokens=last_prompt_tokens,
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)
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return agent, {"stable": stable, "context": context, "volatile": volatile}
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def test_breakdown_includes_major_categories():
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stable = (
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"base guidance\n"
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"<available_skills>\n demo:\n - hello: hi\n</available_skills>"
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)
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context = "# Project Context\nFollow AGENTS.md"
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volatile = "Current time: now"
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history = [{"role": "user", "content": "hello there"}]
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agent, parts = _make_agent(stable=stable, context=context, volatile=volatile)
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with patch("agent.system_prompt.build_system_prompt_parts", return_value=parts):
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data = compute_session_context_breakdown(agent, history)
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ids = {item["id"] for item in data["categories"]}
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assert {"system_prompt", "tool_definitions", "rules", "skills", "mcp", "subagent_definitions", "conversation"} <= ids
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assert data["context_max"] == 200_000
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assert data["estimated_total"] > 0
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def test_breakdown_uses_measured_context_when_available():
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agent, parts = _make_agent(last_prompt_tokens=42_000)
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with patch("agent.system_prompt.build_system_prompt_parts", return_value=parts):
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data = compute_session_context_breakdown(agent, [])
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assert data["context_used"] == 42_000
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assert data["context_percent"] == 21
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