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The optional `query` parameter on headroom_retrieve routed retrieval through CompressionStore.search(), which BM25-scored the items inside a single cached blob and dropped everything below a 0.3 relevance floor. On small per-blob corpora with conversational queries this returned an empty result the large majority of the time, so the LLM saw "nothing found" for content that was actually present — pushing users to turn compression off entirely. Retrieval is fundamentally a hash lookup (this already matches the Rust proxy's CCR store, which is put/get only — "no BM25 search"). Remove the query/search path end to end and always return the full original content: Core (Python proxy): - tool schemas (anthropic/openai/google) drop the `query` property - parse_tool_call returns the hash (str | None) instead of (hash, query) - response handler, proxy POST/GET/tool-call handlers, the MCP retrieve tool, and the streaming feedback recorders retrieve by hash only - proactive context-tracker expansion always restores full content - delete CompressionStore.search() and its BM25 machinery (the bm25 module stays — it is still used by relevance/) - CCRToolCall.query, CCRToolResult.was_search, and ExpansionRecommendation.expand_full/search_query are removed Plugins (advertised a now-defunct query param to the LLM): - hermes (Python), openclaw + opencode (TypeScript) retrieve tools drop `query` from their schemas, signatures, request URLs, and tests Benchmarks/docs: - ccr_regression + adversarial benchmarks switch from store.search() to full hash retrieval (search input-injection tests repurposed to the hash, the only remaining input surface) - wiki/ARCHITECTURE.md, wiki/ccr.md, docs/content/docs/ccr.mdx, config.py and store docstrings updated to describe hash-only retrieval Tests updated to assert full-content retrieval and guard the removed surface; the full CCR/proxy/store/TOIN suite passes. ruff + mypy clean. ## Description <!-- Briefly explain the change and why it is needed. --> Closes # ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - ## Testing <!-- Check what you actually ran, then paste the real command output below. --> - [ ] Unit tests pass (`pytest`) - [ ] Linting passes (`ruff check .`) - [ ] Type checking passes (`mypy headroom`) - [ ] New tests added for new functionality - [ ] Manual testing performed ### Test Output ```text # Paste relevant command output or artifact links here ``` ## Real Behavior Proof - Environment: - Exact command / steps: - Observed result: - Not tested: ## Review Readiness - [ ] I have performed a self-review - [ ] This PR is ready for human review ## Checklist - [ ] My code follows the project's style guidelines - [ ] I have performed a self-review of my code - [ ] I have commented my code, particularly in hard-to-understand areas - [ ] I have made corresponding changes to the documentation - [ ] My changes generate no new warnings - [ ] I have added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] I have updated the CHANGELOG.md if applicable ## Screenshots (if applicable) Add screenshots to help explain your changes. ## Additional Notes <!-- Mention any N/A checklist items, tradeoffs, follow-ups, or maintainer context. -->
564 lines
19 KiB
Python
564 lines
19 KiB
Python
"""Tests for CCR tool injection and MCP integration."""
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import json
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from headroom.ccr import (
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CCR_TOOL_NAME,
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CCRToolInjector,
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create_ccr_tool_definition,
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create_system_instructions,
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parse_tool_call,
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)
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class TestCCRToolDefinition:
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"""Test tool definition creation for different providers."""
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def test_anthropic_format(self):
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"""Anthropic tool definition has correct format."""
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tool = create_ccr_tool_definition("anthropic")
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assert tool["name"] == CCR_TOOL_NAME
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assert "description" in tool
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assert "input_schema" in tool
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assert tool["input_schema"]["type"] == "object"
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assert "hash" in tool["input_schema"]["properties"]
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# Retrieval is by hash only — no query/search parameter.
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assert "query" not in tool["input_schema"]["properties"]
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assert tool["input_schema"]["required"] == ["hash"]
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def test_openai_format(self):
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"""OpenAI tool definition has correct format."""
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tool = create_ccr_tool_definition("openai")
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assert tool["type"] == "function"
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assert tool["function"]["name"] == CCR_TOOL_NAME
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assert "description" in tool["function"]
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assert "parameters" in tool["function"]
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assert tool["function"]["parameters"]["required"] == ["hash"]
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def test_google_format(self):
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"""Google tool definition has correct format."""
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tool = create_ccr_tool_definition("google")
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assert tool["name"] == CCR_TOOL_NAME
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assert "parameters" in tool
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assert tool["parameters"]["required"] == ["hash"]
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class TestCCRToolInjector:
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"""Test CCRToolInjector functionality."""
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def test_scan_for_markers_finds_hash(self):
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"""Scanner detects compression markers in messages."""
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messages = [
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{"role": "user", "content": "Find errors"},
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{
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"role": "tool",
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"content": '[{"id": 1}]\n[100 items compressed to 10. Retrieve more: hash=abc123def456abc123def456]',
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},
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]
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injector = CCRToolInjector()
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hashes = injector.scan_for_markers(messages)
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assert len(hashes) == 1
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assert "abc123def456abc123def456" in hashes
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assert injector.has_compressed_content
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def test_scan_for_markers_multiple_hashes(self):
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"""Scanner finds multiple distinct hashes."""
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messages = [
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{
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"role": "tool",
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"content": "[50 items compressed to 5. Retrieve more: hash=aaa111111111aaa111111111]",
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},
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{
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"role": "tool",
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"content": "[200 items compressed to 20. Retrieve more: hash=bbb222222222bbb222222222]",
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},
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]
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injector = CCRToolInjector()
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hashes = injector.scan_for_markers(messages)
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assert len(hashes) == 2
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assert "aaa111111111aaa111111111" in hashes
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assert "bbb222222222bbb222222222" in hashes
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def test_scan_no_duplicates(self):
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"""Scanner deduplicates repeated hashes."""
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messages = [
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{
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"role": "tool",
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"content": "[100 items compressed to 10. Retrieve more: hash=aabbcc123456aabbcc123456]",
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},
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{
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"role": "assistant",
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"content": "I see [100 items compressed to 10. Retrieve more: hash=aabbcc123456aabbcc123456]",
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},
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]
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injector = CCRToolInjector()
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hashes = injector.scan_for_markers(messages)
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assert len(hashes) == 1
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def test_scan_anthropic_content_blocks(self):
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"""Scanner handles Anthropic's content block format."""
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "Find errors"},
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],
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},
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{
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"role": "assistant",
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"content": [
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{
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"type": "tool_result",
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"content": "[100 items compressed to 10. Retrieve more: hash=b10cf0a2b3c4b10cf0a2b3c4]",
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},
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],
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},
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]
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injector = CCRToolInjector()
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hashes = injector.scan_for_markers(messages)
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assert "b10cf0a2b3c4b10cf0a2b3c4" in hashes
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def test_inject_tool_when_compression_detected(self):
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"""Tool is injected when compression markers are found."""
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messages = [
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{
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"role": "tool",
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"content": "[100 items compressed to 10. Retrieve more: hash=abc123def456abc123def456]",
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},
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]
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injector = CCRToolInjector(provider="anthropic")
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injector.scan_for_markers(messages)
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tools, was_injected = injector.inject_tool_definition(None)
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assert was_injected
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assert len(tools) == 1
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assert tools[0]["name"] == CCR_TOOL_NAME
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def test_inject_tool_adds_to_existing(self):
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"""CCR tool is added to existing tools list."""
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messages = [
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{
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"role": "tool",
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"content": "[100 items compressed to 10. Retrieve more: hash=e1e2e3f4f5f6e1e2e3f4f5f6]",
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},
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]
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existing_tools = [{"name": "other_tool", "input_schema": {}}]
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injector = CCRToolInjector(provider="anthropic")
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injector.scan_for_markers(messages)
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tools, was_injected = injector.inject_tool_definition(existing_tools)
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assert was_injected
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assert len(tools) == 2
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assert tools[0]["name"] == "other_tool"
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assert tools[1]["name"] == CCR_TOOL_NAME
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def test_skip_injection_if_tool_present_anthropic(self):
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"""Injection skipped if tool already present (Anthropic format)."""
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messages = [
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{
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"role": "tool",
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"content": "[100 items compressed to 10. Retrieve more: hash=aac123456789aac123456789]",
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},
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]
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# Tool already present (e.g., from MCP)
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existing_tools = [{"name": CCR_TOOL_NAME, "input_schema": {}}]
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injector = CCRToolInjector(provider="anthropic")
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injector.scan_for_markers(messages)
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tools, was_injected = injector.inject_tool_definition(existing_tools)
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assert not was_injected
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assert len(tools) == 1 # Not duplicated
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def test_skip_injection_if_tool_present_openai(self):
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"""Injection skipped if tool already present (OpenAI format)."""
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messages = [
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{
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"role": "tool",
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"content": "[100 items compressed to 10. Retrieve more: hash=bbc456789012bbc456789012]",
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},
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]
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# OpenAI format tool already present
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existing_tools = [
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{"type": "function", "function": {"name": CCR_TOOL_NAME, "parameters": {}}}
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]
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injector = CCRToolInjector(provider="openai")
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injector.scan_for_markers(messages)
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tools, was_injected = injector.inject_tool_definition(existing_tools)
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assert not was_injected
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assert len(tools) == 1
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def test_no_injection_without_compression(self):
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"""No injection when no compression markers found."""
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messages = [
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{"role": "user", "content": "Hello"},
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{"role": "tool", "content": '{"result": "ok"}'},
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]
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injector = CCRToolInjector()
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injector.scan_for_markers(messages)
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tools, was_injected = injector.inject_tool_definition(None)
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assert not was_injected
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assert tools == []
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def test_inject_system_instructions(self):
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"""System instructions are injected when compression detected."""
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messages = [
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{"role": "system", "content": "You are helpful."},
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{
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"role": "tool",
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"content": "[100 items compressed to 10. Retrieve more: hash=abc123def456abc123def456]",
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},
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]
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injector = CCRToolInjector(inject_system_instructions=True)
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injector.scan_for_markers(messages)
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updated = injector.inject_into_system_message(messages)
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assert "Compressed Context Available" in updated[0]["content"]
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assert "abc123def456abc123def456" in updated[0]["content"]
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def test_process_request_full_flow(self):
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"""process_request handles complete injection flow."""
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messages = [
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{"role": "system", "content": "Assistant"},
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{"role": "user", "content": "Search for errors"},
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{
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"role": "tool",
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"content": "[500 items compressed to 25. Retrieve more: hash=f011f10abcdef011f10abcde]",
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},
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]
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injector = CCRToolInjector(
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provider="anthropic",
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inject_tool=True,
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inject_system_instructions=True,
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)
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updated_messages, updated_tools, was_injected = injector.process_request(messages, None)
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assert was_injected
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assert updated_tools is not None
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assert len(updated_tools) == 1
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assert updated_tools[0]["name"] == CCR_TOOL_NAME
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assert "Compressed Context Available" in updated_messages[0]["content"]
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class TestParseToolCall:
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"""Test parsing of tool calls from LLM responses."""
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def test_parse_anthropic_format(self):
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"""Parse Anthropic tool call format."""
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tool_call = {
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"id": "toolu_123",
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"name": CCR_TOOL_NAME,
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"input": {"hash": "abc123def456abc123def456"},
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key == "abc123def456abc123def456"
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def test_parse_openai_format(self):
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"""Parse OpenAI tool call format."""
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tool_call = {
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"id": "call_123",
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"function": {
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"name": CCR_TOOL_NAME,
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"arguments": json.dumps({"hash": "def456abc123def456abc123"}),
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},
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}
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hash_key = parse_tool_call(tool_call, "openai")
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assert hash_key == "def456abc123def456abc123"
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def test_parse_non_ccr_tool(self):
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"""Returns None for non-CCR tool calls."""
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tool_call = {
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"name": "other_tool",
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"input": {"param": "value"},
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key is None
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def test_parse_malformed_openai_args(self):
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"""Handles malformed JSON in OpenAI arguments."""
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tool_call = {
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"id": "call_123",
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"function": {
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"name": CCR_TOOL_NAME,
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"arguments": "not valid json",
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},
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}
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hash_key = parse_tool_call(tool_call, "openai")
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assert hash_key is None
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class TestHashSecurityValidation:
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"""Test hash validation security measures.
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CCR hashes are 12 hex chars (SmartCrusher) or 24 hex chars (legacy
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bracket markers / compression_store). Any other length or non-hex input
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is rejected to prevent hash spoofing with malformed hashes.
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"""
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def test_rejects_short_hash(self):
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"""Rejects hash that's too short (potential spoofing attack)."""
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tool_call = {
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"name": CCR_TOOL_NAME,
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"input": {"hash": "abc123"}, # Only 6 chars
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key is None # Rejected
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def test_rejects_long_hash(self):
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"""Rejects hash that's too long."""
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tool_call = {
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"name": CCR_TOOL_NAME,
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"input": {"hash": "abc123def456abc123def456abc123"}, # 30 chars
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key is None # Rejected
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def test_rejects_non_hex_characters(self):
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"""Rejects hash with non-hex characters."""
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tool_call = {
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"name": CCR_TOOL_NAME,
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"input": {"hash": "abc123xyz456abc123xyz456"}, # Contains xyz
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key is None # Rejected
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def test_accepts_valid_24_char_hash(self):
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"""Accepts properly formatted 24-char hex hash."""
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tool_call = {
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"name": CCR_TOOL_NAME,
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"input": {"hash": "abc123def456abc123def456"},
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key == "abc123def456abc123def456"
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def test_accepts_uppercase_hex(self):
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"""Accepts uppercase hex characters (normalized to lowercase internally)."""
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tool_call = {
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"name": CCR_TOOL_NAME,
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"input": {"hash": "ABC123DEF456ABC123DEF456"},
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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# Note: validation accepts uppercase since we use .lower() for hex check
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assert hash_key == "ABC123DEF456ABC123DEF456"
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class TestSmartCrusherCcrMarkers:
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"""Regression tests for issue #1095.
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SmartCrusher emits 12-hex-char hashes inside ``<<ccr:HASH ...>>`` markers
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(the row-drop summary and the opaque-blob form). The injector must detect
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those markers and ``parse_tool_call`` must accept the 12-char hashes —
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previously both only recognized the 24-char legacy bracket markers.
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"""
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def test_scan_detects_row_drop_marker(self):
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"""Detects ``<<ccr:HASH N_rows_offloaded>>`` (12-char hash)."""
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messages = [
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{
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"role": "user",
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"content": [
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{
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"type": "tool_result",
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"tool_use_id": "x",
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"content": '{"kept": 12, "ccr": "<<ccr:e21a26620105 988_rows_offloaded>>"}',
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}
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],
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}
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]
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injector = CCRToolInjector(provider="anthropic")
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hashes = injector.scan_for_markers(messages)
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assert hashes == ["e21a26620105"]
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assert injector.has_compressed_content
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def test_scan_detects_opaque_blob_marker(self):
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"""Detects the ``<<ccr:HASH,KIND,SIZE>>`` opaque-blob form."""
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messages = [
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{"role": "tool", "content": "<<ccr:deadbeefdead,string,2.3KB>>"},
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]
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hashes = CCRToolInjector().scan_for_markers(messages)
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assert hashes == ["deadbeefdead"]
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def test_legacy_bracket_marker_still_detected(self):
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"""The 24-char legacy bracket marker keeps working alongside the new one."""
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messages = [
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{
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"role": "tool",
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"content": "[100 items compressed to 10. Retrieve more: hash=abc123def456abc123def456]",
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},
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]
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hashes = CCRToolInjector().scan_for_markers(messages)
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assert hashes == ["abc123def456abc123def456"]
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def test_parse_tool_call_accepts_12_char_hash(self):
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"""``parse_tool_call`` accepts a 12-char SmartCrusher hash."""
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tool_call = {
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"name": CCR_TOOL_NAME,
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"input": {"hash": "e21a26620105"},
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key == "e21a26620105"
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def test_parse_tool_call_still_accepts_24_char_hash(self):
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"""24-char legacy hashes remain valid (regression guard)."""
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tool_call = {
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"name": CCR_TOOL_NAME,
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"input": {"hash": "abc123def456abc123def456"},
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}
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hash_key = parse_tool_call(tool_call, "anthropic")
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assert hash_key == "abc123def456abc123def456"
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class TestSystemInstructions:
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"""Test system instruction generation."""
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def test_create_instructions_single_hash(self):
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"""Instructions include single hash."""
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instructions = create_system_instructions(["hash123"])
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assert "hash123" in instructions
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assert CCR_TOOL_NAME in instructions
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assert "Compressed Context Available" in instructions
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def test_create_instructions_multiple_hashes(self):
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"""Instructions include multiple hashes."""
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hashes = ["hash1", "hash2", "hash3"]
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|
instructions = create_system_instructions(hashes)
|
|
|
|
for h in hashes:
|
|
assert h in instructions
|
|
|
|
def test_create_instructions_truncates_many_hashes(self):
|
|
"""Instructions truncate when many hashes present."""
|
|
hashes = [f"hash{i}" for i in range(10)]
|
|
instructions = create_system_instructions(hashes)
|
|
|
|
# First 5 should be present, rest truncated
|
|
assert "hash0" in instructions
|
|
assert "hash4" in instructions
|
|
assert "..." in instructions
|
|
|
|
|
|
class TestAlternativeMarkerFormats:
|
|
"""Test CCR marker detection for different compressor formats.
|
|
|
|
Different compressors use slightly different marker formats:
|
|
- SmartCrusher: [N items compressed to M. Retrieve more: hash=xxx]
|
|
- TextCompressor: [N lines compressed to M. Retrieve more: hash=xxx]
|
|
- LogCompressor: [N lines compressed to M. Retrieve more: hash=xxx]
|
|
- SearchCompressor: [N matches compressed to M. Retrieve more: hash=xxx]
|
|
- Kompress: [N items compressed to M. Retrieve more: hash=xxx]
|
|
|
|
The CCRToolInjector should detect all these formats.
|
|
"""
|
|
|
|
def test_textcompressor_format(self):
|
|
"""Detects TextCompressor marker format (lines)."""
|
|
messages = [
|
|
{
|
|
"role": "assistant",
|
|
"content": "Build output:\n[500 lines compressed to 50. Retrieve more: hash=aabbccddeeff001122334455]",
|
|
},
|
|
]
|
|
|
|
injector = CCRToolInjector()
|
|
hashes = injector.scan_for_markers(messages)
|
|
|
|
assert len(hashes) == 1
|
|
assert "aabbccddeeff001122334455" in hashes
|
|
|
|
def test_searchcompressor_format(self):
|
|
"""Detects SearchCompressor marker format (matches)."""
|
|
messages = [
|
|
{
|
|
"role": "assistant",
|
|
"content": "Search results:\n[100 matches compressed to 10. Retrieve more: hash=112233445566778899001122]",
|
|
},
|
|
]
|
|
|
|
injector = CCRToolInjector()
|
|
hashes = injector.scan_for_markers(messages)
|
|
|
|
assert len(hashes) == 1
|
|
assert "112233445566778899001122" in hashes
|
|
|
|
def test_mixed_compressor_formats(self):
|
|
"""Detects multiple marker formats in same conversation."""
|
|
messages = [
|
|
{
|
|
"role": "assistant",
|
|
"content": "Search results:\n[50 matches compressed to 5. Retrieve more: hash=aaaa11111111aaaa11111111]",
|
|
},
|
|
{
|
|
"role": "assistant",
|
|
"content": "Build logs:\n[200 lines compressed to 20. Retrieve more: hash=bbbb22222222bbbb22222222]",
|
|
},
|
|
{
|
|
"role": "assistant",
|
|
"content": "Database:\n[1000 items compressed to 100. Retrieve more: hash=cccc33333333cccc33333333]",
|
|
},
|
|
]
|
|
|
|
injector = CCRToolInjector()
|
|
hashes = injector.scan_for_markers(messages)
|
|
|
|
assert len(hashes) == 3
|
|
assert "aaaa11111111aaaa11111111" in hashes
|
|
assert "bbbb22222222bbbb22222222" in hashes
|
|
assert "cccc33333333cccc33333333" in hashes
|
|
|
|
def test_generic_compressed_marker(self):
|
|
"""Detects generic compression markers via fallback pattern."""
|
|
messages = [
|
|
{
|
|
"role": "assistant",
|
|
"content": "Data:\n[Content compressed for efficiency. hash=fedcba9876543210fedcba98]",
|
|
},
|
|
]
|
|
|
|
injector = CCRToolInjector()
|
|
hashes = injector.scan_for_markers(messages)
|
|
|
|
assert len(hashes) == 1
|
|
assert "fedcba9876543210fedcba98" in hashes
|