diff --git a/.gitignore b/.gitignore index d9aa195..6810312 100644 --- a/.gitignore +++ b/.gitignore @@ -14,4 +14,6 @@ data/logs/ *.log *aristotle_solns* -*solve_all.sh* \ No newline at end of file +*solve_all.sh* +/proof_bench.egg-info +/.env diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml deleted file mode 100644 index 6ba9060..0000000 --- a/.pre-commit-config.yaml +++ /dev/null @@ -1,8 +0,0 @@ -repos: - - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.8.4 - hooks: - - id: ruff - args: [--fix] - - id: ruff-format - diff --git a/.python_version b/.python_version new file mode 100644 index 0000000..0960158 --- /dev/null +++ b/.python_version @@ -0,0 +1 @@ +1.11 diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..e9e56ef --- /dev/null +++ b/Makefile @@ -0,0 +1,27 @@ +.PHONY: help install style test + +help: + @echo "Makefile for proof-bench" + @echo "Usage:" + @echo " make install Install dependencies" + @echo " make style Lint & format" + @echo " make test Run unit tests" + +install: + uv venv --python 3.11 + uv sync --dev + +venv_check: + @if [ ! -f .venv/bin/activate ]; then \ + echo "Virtualenv not found. Run 'make install' first."; \ + exit 1; \ + fi + +format: venv_check + uv run ruff format . +lint: venv_check + uv run ruff check --fix . +style: format lint + +test: venv_check + uv run pytest tests/ -x -q diff --git a/README.md b/README.md index 7102c86..aa648ae 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,8 @@ Setup, local Loogle configuration, development commands, and platform run instru - `problems/`: Lean theorem files plus informal statements/proofs under `problems/informal/`. The folder only has sample problems; the rest of the benchmark is private. - `data/proof-bench.jsonl`: exported metadata used at runtime - `proof_bench/agent.py`: agent loop and tool orchestration -- `proof_bench/tools.py`: `lean_run_code`, `lean_loogle`, and `submit_proof` +- `proof_bench/tools.py`: `lean_run_code`, `lean_loogle`, and `submit_proof` tool subclasses +- `proof_bench/mcp_client.py`: MCP client infrastructure and Lean execution - `proof_bench/prover.py`: attempt execution, aggregation, and logging - `proof_bench/load_problems.py`: exported dataset loader - `proof_bench/validate_and_export.py`: metadata validation and JSONL export @@ -25,9 +26,10 @@ Setup, local Loogle configuration, development commands, and platform run instru ## Quick Start -After following `SETUP.md`, a basic run looks like: +After following `SETUP.md`, export the dataset then run: ```bash +python proof_bench/validate_and_export.py python main.py --dataset exported --model openai/gpt-4o --k 3 ``` @@ -42,6 +44,7 @@ python main.py --dataset exported --domains logic number_theory --model openai/g ## Where To Look Next - `SETUP.md`: installation, MCP/Loogle setup, local cache generation, development workflow, CI, and platform runs -- `proof_bench/tools.py`: tool definitions and MCP plumbing +- `proof_bench/tools.py`: tool subclasses (`lean_run_code`, `lean_loogle`, `submit_proof`) +- `proof_bench/mcp_client.py`: MCP client infrastructure and Lean execution - `proof_bench/agent.py`: agent loop - `proof_bench/prover.py`: attempt execution and result aggregation diff --git a/SETUP.md b/SETUP.md index 40301a8..fe1d7bf 100644 --- a/SETUP.md +++ b/SETUP.md @@ -6,19 +6,18 @@ This document contains the engineering and environment setup details for working ```bash curl -LsSf https://astral.sh/uv/install.sh | sh -uv venv +make install source .venv/bin/activate -uv pip install -e ".[llm]" ``` -For development without LLM integrations: +Create a `.env` file with your API keys: ```bash -uv pip install -e . +OPENAI_API_KEY='sk-...' +ANTHROPIC_API_KEY='sk-ant-...' +# add other provider keys as needed ``` -`[llm]` includes the public `model-library` dependency for model access. - ## Lean 4 ```bash @@ -77,11 +76,10 @@ Install it with: uv tool install lean-lsp-mcp ``` -Run with Loogle enabled: +Loogle is enabled by default. Use `--no-loogle` to turn it off. For local search: ```bash -python main.py --dataset exported --model openai/gpt-4o --k 3 \ - --enable-loogle --loogle-local +python main.py --dataset exported --model openai/gpt-4o --k 3 --loogle-local ``` Modes: @@ -142,7 +140,7 @@ python -m proof_bench.loogle_daemon --port 8765 # Terminal 2+ export LOOGLE_DAEMON_URL=http://127.0.0.1:8765 -python main.py --dataset exported --model openai/gpt-4o --k 8 --enable-loogle +python main.py --dataset exported --model openai/gpt-4o --k 8 ``` Programmatic config: @@ -157,12 +155,9 @@ loogle_config = { ## Development ```bash -pre-commit install -pre-commit run --all-files -ruff check . -ruff format . +make style +make test lake build -pytest tests/ ``` ## Upgrading Lean Or Mathlib diff --git a/main.py b/main.py index f9ab544..14f6d13 100644 --- a/main.py +++ b/main.py @@ -1,127 +1,96 @@ import argparse import json -import logging -import shutil import sys from datetime import datetime from pathlib import Path from typing import Any +from dotenv import load_dotenv + from proof_bench.load_problems import load_exported_problems -from proof_bench.prover import run_proving_pipeline +from proof_bench.mcp_client import resolve_stdio_command +from proof_bench.prover import ProblemResult, run_proving_pipeline from proof_bench.tools import ToolConfig DEFAULT_LOOGLE_TRANSPORT = "stdio" DEFAULT_LOOGLE_MAX_RESULTS = 8 VALID_DATASETS = {"exported"} - - -def _resolve_stdio_command() -> list[str]: - if uvx := shutil.which("uvx"): - return [uvx, "lean-lsp-mcp", "--transport", "stdio"] - if python3 := shutil.which("python3"): - return [python3, "-m", "lean_lsp_mcp", "--transport", "stdio"] - if python := shutil.which("python"): - return [python, "-m", "lean_lsp_mcp", "--transport", "stdio"] - raise RuntimeError("Could not find uvx/python3/python to launch lean-lsp-mcp") +BASE_LOG_DIR = Path(__file__).parent / "data" / "logs" def validate_args(args: argparse.Namespace) -> None: - """Validate command line arguments.""" if not args.model: - logging.error("Model must be specified") + print("error: model must be specified", file=sys.stderr) sys.exit(1) if args.k <= 0: - logging.error("k must be positive") + print("error: k must be positive", file=sys.stderr) sys.exit(1) if not (0 <= args.temperature <= 2): - logging.error("Temperature must be between 0 and 2") + print("error: temperature must be between 0 and 2", file=sys.stderr) sys.exit(1) if args.problem_id and getattr(args, "domains", None): - logging.error("Cannot specify both --problem-id and --domains") + print("error: cannot specify both --problem-id and --domains", file=sys.stderr) sys.exit(1) -def setup_logging(args: argparse.Namespace) -> tuple[str, Path]: - """Configure logging to file and console.""" - validate_args(args) - - base_log_dir = Path(__file__).parent / "data" / "logs" - base_log_dir.mkdir(parents=True, exist_ok=True) - - timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") - log_dir = base_log_dir / timestamp - log_dir.mkdir(parents=True, exist_ok=True) - - if args.log_file: - log_filename = str(log_dir / args.log_file) - else: - model_name = args.model.replace("/", "_") - log_filename = str(log_dir / f"proof_bench_{model_name}_k{args.k}_temp{args.temperature}.log") - - logging.basicConfig( - level=logging.DEBUG, - format="%(asctime)s - %(levelname)s - %(message)s", - handlers=[logging.FileHandler(log_filename), logging.StreamHandler()], - force=True, - ) - - return log_filename, log_dir - - def load_dataset(args: argparse.Namespace) -> list[dict[str, Any]]: - """Load the appropriate dataset based on arguments.""" if args.dataset not in VALID_DATASETS: - logging.error(f"Invalid dataset: {args.dataset}. Must be 'exported'") + print(f"error: invalid dataset '{args.dataset}'. Must be 'exported'", file=sys.stderr) sys.exit(1) - - logger = logging.getLogger(__name__) - try: dataset = load_exported_problems() - logger.info(f"Loaded {len(dataset)} problems from exported Lean files") + print(f"Loaded {len(dataset)} problems") + return dataset except Exception as e: - logging.error(f"Failed to load dataset: {e}") + print(f"error: failed to load dataset: {e}", file=sys.stderr) sys.exit(1) - return dataset - def filter_dataset( dataset: list[dict[str, Any]], problem_id: str | None, domains: list[str] | None ) -> tuple[list[dict[str, Any]], str]: - """Filter dataset by problem ID or domain substrings.""" if not problem_id and not domains: return dataset, "all" if problem_id: - filtered_dataset = [item for item in dataset if item["id"] == problem_id] - if not filtered_dataset: - logging.error(f"Problem with ID '{problem_id}' not found in dataset") + filtered = [item for item in dataset if item["id"] == problem_id] + if not filtered: + print(f"error: problem '{problem_id}' not found", file=sys.stderr) return [], problem_id - logging.info(f"Running single problem: {problem_id}") - return filtered_dataset, problem_id + return filtered, problem_id if domains: def matches_domain(item: dict[str, Any]) -> bool: - item_id = item["id"].lower() - return any(domain.lower() in item_id for domain in domains) + return any(domain.lower() in item["id"].lower() for domain in domains) - filtered_dataset = [item for item in dataset if matches_domain(item)] + filtered = [item for item in dataset if matches_domain(item)] domain_str = ", ".join(domains) - if not filtered_dataset: - logging.error(f"No problems found matching domains: {domain_str}") + if not filtered: + print(f"error: no problems matching domains: {domain_str}", file=sys.stderr) return [], f"domains:{domain_str}" - - logging.info(f"Running {len(filtered_dataset)} problems matching domains: {domain_str}") - return filtered_dataset, f"domains:{domain_str}" + print(f"Filtered to {len(filtered)} problems matching: {domain_str}") + return filtered, f"domains:{domain_str}" return dataset, "all" -def write_metadata(args: argparse.Namespace, log_dir: Path, problem_scope: str, dataset_size: int) -> None: - """Write run metadata to JSON file.""" +def _resolve_run_dir(results: list[ProblemResult]) -> Path: + """Return the agent's run directory, falling back to BASE_LOG_DIR.""" + for r in results: + if r.agent_results: + return r.agent_results[0].output_dir.parent + return BASE_LOG_DIR + + +def write_results( + args: argparse.Namespace, + run_dir: Path, + problem_scope: str, + dataset_size: int, + summary: dict[str, Any], +) -> None: + run_dir.mkdir(parents=True, exist_ok=True) metadata = { "timestamp": datetime.now().isoformat(), "dataset": args.dataset, @@ -130,25 +99,21 @@ def write_metadata(args: argparse.Namespace, log_dir: Path, problem_scope: str, "temperature": args.temperature, "include_nl_proof": args.include_nl_proof, "loogle_enabled": args.enable_loogle, - "loogle_transport": "stdio" if args.enable_loogle else None, - "loogle_max_results": DEFAULT_LOOGLE_MAX_RESULTS if args.enable_loogle else None, "problem_scope": problem_scope, "domains": getattr(args, "domains", None), "total_problems": dataset_size, } - - metadata_file = log_dir / "metadata.json" - with open(metadata_file, "w", encoding="utf-8") as f: + with open(run_dir / "metadata.json", "w", encoding="utf-8") as f: json.dump(metadata, f, indent=2) - - logging.info(f"Metadata saved to: {metadata_file}") + with open(run_dir / "aggregated_results.json", "w", encoding="utf-8") as f: + json.dump(summary, f, indent=2) def build_tool_configs(args: argparse.Namespace) -> tuple[ToolConfig | None, ToolConfig]: base_config: ToolConfig = { "transport": DEFAULT_LOOGLE_TRANSPORT, "project_path": str(Path(__file__).parent), - "stdio_command": _resolve_stdio_command(), + "stdio_command": resolve_stdio_command(), } run_code_config: ToolConfig = dict(base_config) @@ -165,52 +130,46 @@ def build_tool_configs(args: argparse.Namespace) -> tuple[ToolConfig | None, Too def main() -> None: + load_dotenv(override=True) + parser = argparse.ArgumentParser(description="Proof Bench: Automated Theorem Proving Benchmark") parser.add_argument("--dataset", type=str, default="exported", choices=["exported"]) parser.add_argument( "--model", type=str, default="openai/gpt-4o", - help="Model name in format 'provider/model-name' (e.g., 'openai/gpt-4o', 'google/gemini-2.5-flash', 'grok/grok-4-0709')", + help="Model name in format 'provider/model-name' (e.g., 'openai/gpt-4o', 'google/gemini-2.5-flash')", ) parser.add_argument("--k", type=int, default=8) parser.add_argument("--temperature", type=float, default=0.7) - parser.add_argument("--log-file", type=str) parser.add_argument("--problem-id", type=str, help="Run only the problem with this specific ID") parser.add_argument( "--domains", nargs="+", - help="Run only problems whose IDs contain any of these substrings (e.g., logic number_theory measure)", + help="Run only problems whose IDs contain any of these substrings", ) + parser.add_argument("--include-nl-proof", action="store_true", default=False) parser.add_argument( - "--include-nl-proof", - action="store_true", - default=False, - help="Include natural language proof in the prompt as a hint", + "--no-loogle", + dest="enable_loogle", + action="store_false", + help="Disable the Loogle lemma search tool", ) parser.add_argument( "--enable-loogle", + dest="enable_loogle", action="store_true", - default=False, - help="Enable lean-lsp-mcp's Loogle MCP tool for theorem search", - ) - parser.add_argument( - "--loogle-local", - action="store_true", - default=False, - help="Use local Loogle server (bypasses 3 queries/30s rate limit)", + help="Enable Loogle (default: on)", ) + parser.set_defaults(enable_loogle=True) + parser.add_argument("--loogle-local", action="store_true", default=False) args = parser.parse_args() - - log_filename, log_dir = setup_logging(args) - logger = logging.getLogger(__name__) - logger.info(f"Proof Bench started: dataset={args.dataset}, model={args.model}, k={args.k}, temp={args.temperature}") - logger.info(f"Log file: {log_filename}") + validate_args(args) dataset = load_dataset(args) if not dataset: - logging.error("No problems loaded from dataset") + print("error: no problems loaded", file=sys.stderr) return dataset, problem_scope = filter_dataset(dataset, args.problem_id, getattr(args, "domains", None)) @@ -218,29 +177,30 @@ def main() -> None: return num_problems = len(dataset) - logger.info(f"Ready to evaluate {num_problems} problem{'s' if num_problems != 1 else ''}") + print(f"Ready to evaluate {num_problems} problem{'s' if num_problems != 1 else ''} with {args.model} (k={args.k})") if input("Proceed? (Y/n): ").lower().strip() not in ("", "y", "yes"): - logger.info("Evaluation cancelled by user") return - write_metadata(args, log_dir, problem_scope, num_problems) - loogle_config, run_code_config = build_tool_configs(args) try: - run_proving_pipeline( + results, summary = run_proving_pipeline( dataset, args.model, k=args.k, include_nl_proof=args.include_nl_proof, loogle_config=loogle_config, run_code_config=run_code_config, - log_dir=log_dir, + log_dir=BASE_LOG_DIR, ) except Exception as e: - logging.error(f"Proving pipeline failed: {e}") + print(f"error: proving pipeline failed: {e}", file=sys.stderr) sys.exit(1) + run_dir = _resolve_run_dir(results) + write_results(args, run_dir, problem_scope, num_problems, summary) + print(f"Logs: {run_dir}") + if __name__ == "__main__": main() diff --git a/proof_bench.egg-info/PKG-INFO b/proof_bench.egg-info/PKG-INFO deleted file mode 100644 index 809d2a5..0000000 --- a/proof_bench.egg-info/PKG-INFO +++ /dev/null @@ -1,16 +0,0 @@ -Metadata-Version: 2.4 -Name: proof-bench -Version: 0.1.0 -Requires-Python: >=3.11 -Requires-Dist: mcp>=1.21.2 -Requires-Dist: pytest -Requires-Dist: requests -Requires-Dist: ruff -Provides-Extra: llm -Requires-Dist: anthropic; extra == "llm" -Requires-Dist: datasets; extra == "llm" -Requires-Dist: openai; extra == "llm" -Requires-Dist: protobuf>=6.0; extra == "llm" -Requires-Dist: model-library; extra == "llm" -Provides-Extra: dev -Requires-Dist: pre-commit; extra == "dev" diff --git a/proof_bench.egg-info/SOURCES.txt b/proof_bench.egg-info/SOURCES.txt deleted file mode 100644 index 37f6e13..0000000 --- a/proof_bench.egg-info/SOURCES.txt +++ /dev/null @@ -1,24 +0,0 @@ -README.md -pyproject.toml -proof_bench/__init__.py -proof_bench/agent.py -proof_bench/custom_model.py -proof_bench/lean_parser.py -proof_bench/load_problems.py -proof_bench/loogle_daemon.py -proof_bench/metadata_utils.py -proof_bench/prompts.py -proof_bench/prover.py -proof_bench/service.py -proof_bench/tools.py -proof_bench/utils.py -proof_bench/validate_and_export.py -proof_bench.egg-info/PKG-INFO -proof_bench.egg-info/SOURCES.txt -proof_bench.egg-info/dependency_links.txt -proof_bench.egg-info/requires.txt -proof_bench.egg-info/top_level.txt -tests/test_loogle_local_stdio.py -tests/test_main_tool_configs.py -tests/test_proof_functions.py -tests/test_tools.py \ No newline at end of file diff --git a/proof_bench.egg-info/dependency_links.txt b/proof_bench.egg-info/dependency_links.txt deleted file mode 100644 index 8b13789..0000000 --- a/proof_bench.egg-info/dependency_links.txt +++ /dev/null @@ -1 +0,0 @@ - diff --git a/proof_bench.egg-info/requires.txt b/proof_bench.egg-info/requires.txt deleted file mode 100644 index 6be2bcf..0000000 --- a/proof_bench.egg-info/requires.txt +++ /dev/null @@ -1,14 +0,0 @@ -mcp>=1.21.2 -pytest -requests -ruff - -[dev] -pre-commit - -[llm] -anthropic -datasets -openai -protobuf>=6.0 -model-library diff --git a/proof_bench.egg-info/top_level.txt b/proof_bench.egg-info/top_level.txt deleted file mode 100644 index 029dbad..0000000 --- a/proof_bench.egg-info/top_level.txt +++ /dev/null @@ -1 +0,0 @@ -proof_bench diff --git a/proof_bench/agent.py b/proof_bench/agent.py index cb947be..7164fcb 100644 --- a/proof_bench/agent.py +++ b/proof_bench/agent.py @@ -1,316 +1,157 @@ +"""Agent that orchestrates LLM interactions with Lean tools for theorem proving. + +Uses model_library Agent for the conversation loop. +""" + from __future__ import annotations -import asyncio -import json import logging -import os -from types import SimpleNamespace +from pathlib import Path from typing import Any -from model_library.base import TextInput, ToolResult - -from .tools import ( - ToolConfig, - create_loogle_tool, - create_run_code_tool, - create_submission_tool, - execute_loogle_tool, - execute_run_code_tool, - extract_submission, - get_registry_model, - run_lean_code, +from model_library.agent import ( + Agent, + AgentConfig, + AgentHooks, + AgentResult, + AgentTurn, + ErrorTurn, + SerializableException, + TurnLimit, + TurnResult, ) +from model_library.base import TextInput +from model_library.base.input import InputItem, RawResponse, SystemInput, ToolDefinition +from model_library.registry_utils import get_registry_model -logger = logging.getLogger(__name__) - -TOKEN_KEYS = [ - "in_tokens", - "out_tokens", - "reasoning_tokens", - "cache_read_tokens", - "cache_write_tokens", - "total_input_tokens", - "total_output_tokens", -] - +from .tools import LoogleTool, RunCodeTool, SubmitProofTool, ToolConfig -class LLMAgent: - """Agent that orchestrates LLM interactions with Lean tools for theorem proving.""" - - def __init__( - self, - model_str: str, - loogle_config: ToolConfig | None = None, - run_code_config: ToolConfig | None = None, - enable_submission_tool: bool = True, - max_turns: int = 40, - problem_context: dict[str, str] | None = None, - ) -> None: - if max_turns < 1: - raise ValueError("max_turns must be positive") - - self.model_str = model_str - self.loogle_config = loogle_config - self.run_code_config = run_code_config - self.enable_submission_tool = enable_submission_tool - self.max_turns = max_turns - self.problem_context = problem_context or {} +logger = logging.getLogger(__name__) - self.model = get_registry_model(model_str) - self.tools = self._build_tools() - self.turns_used = 0 - self.tool_call_counts: dict[str, int] = { - "lean_loogle": 0, - "lean_run_code": 0, - "submit_proof": 0, - } - self.token_usage: dict[str, int] = dict.fromkeys(TOKEN_KEYS, 0) - self.total_cost: float = 0.0 - async def _query_with_retries(self, query_args: dict[str, Any], max_retries: int = 2) -> Any: - """Query model with bounded retries for transient failures.""" - last_exc: Exception | None = None - for attempt in range(max_retries + 1): - try: - return await self.model.query(**query_args) - except Exception as exc: - last_exc = exc - logger.warning( - "Model query failed (attempt %d/%d): %s", - attempt + 1, - max_retries + 1, - exc, +# --------------------------------------------------------------------------- +# Hook functions +# --------------------------------------------------------------------------- + + +def _turn_status(turn_number: int, max_turns: int) -> str: + """Human-readable turn status string.""" + remaining = max(0, max_turns - turn_number) + if remaining == 0: + return "[⚠️ FINAL TURN - Call submit_proof NOW or get 0 points!]" + if remaining == 1: + return f"[⚠️ Turn {turn_number}/{max_turns} - NEXT TURN IS LAST! Call submit_proof NOW!]" + if remaining <= 3: + return f"[⚠️ Turn {turn_number}/{max_turns} - ONLY {remaining} TURNS LEFT! Call submit_proof immediately!]" + if remaining <= 5: + return f"[Turn {turn_number}/{max_turns} - {remaining} left. Call submit_proof soon or you will fail!]" + if remaining <= 10: + return f"[Turn {turn_number}/{max_turns} - {remaining} left. Start preparing your submission.]" + return f"[Turn {turn_number}/{max_turns}, {remaining} remaining]" + + +def _turn_message(turn_number: int, max_turns: int) -> InputItem | None: + return TextInput(text=_turn_status(turn_number, max_turns)) + + +def _tool_filter(turn_number: int, max_turns: int, tools: list[ToolDefinition]) -> list[ToolDefinition]: + if turn_number >= max_turns: + return [t for t in tools if t.name == "submit_proof"] + return tools + + +def _should_stop(turn_result: TurnResult) -> bool: + # Default would stop on text-only responses (no tool calls). Override to keep + # the agent running — _before_query injects a continuation prompt instead. + return False + + +def _before_query(history: list[InputItem], last_error: Exception | None) -> list[InputItem]: + if last_error: + raise last_error + # RawResponse is the model's raw response and is always appended to history. + # If it's still the last item (no ToolResults following it), the model responded + # with text only — inject a continuation prompt to keep the agent going. + if history and isinstance(history[-1], RawResponse): + history.append( + TextInput( + text=( + "Continue your solution attempt. You can use lean_loogle and lean_run_code " + "tools as needed. When your solution is complete, call submit_proof - your " + "work is only graded if you call this tool, and you cannot continue after " + "calling it." ) - if attempt == max_retries: - break - await asyncio.sleep(2**attempt) - if last_exc is not None: - raise last_exc - raise RuntimeError("Model query failed without exception details") - - def _turn_status(self) -> str: - """Returns a human-readable turn status string.""" - remaining = max(0, self.max_turns - self.turns_used) - if remaining == 0: - return "[⚠️ FINAL TURN - Call submit_proof NOW or get 0 points!]" - if remaining == 1: - return f"[⚠️ Turn {self.turns_used}/{self.max_turns} - NEXT TURN IS LAST! Call submit_proof NOW!]" - if remaining <= 3: - return f"[⚠️ Turn {self.turns_used}/{self.max_turns} - ONLY {remaining} TURNS LEFT! Call submit_proof immediately!]" - if remaining <= 5: - return f"[Turn {self.turns_used}/{self.max_turns} - {remaining} left. Call submit_proof soon or you will fail!]" - if remaining <= 10: - return f"[Turn {self.turns_used}/{self.max_turns} - {remaining} left. Start preparing your submission.]" - return f"[Turn {self.turns_used}/{self.max_turns}, {remaining} remaining]" - - def get_stats(self) -> dict[str, Any]: - """Returns summary statistics for this agent run.""" - return { - "turns_used": self.turns_used, - "max_turns": self.max_turns, - "total_tool_calls": sum(self.tool_call_counts.values()), - "tool_call_breakdown": dict(self.tool_call_counts), - "token_usage": dict(self.token_usage), - "total_cost": self.total_cost, - } - - def _build_tool_configs(self) -> dict[str, ToolConfig]: - tool_configs: dict[str, ToolConfig] = {} - if self.loogle_config: - tool_configs["lean_loogle"] = self.loogle_config - if self.run_code_config: - tool_configs["lean_run_code"] = self.run_code_config - if self.enable_submission_tool and self.model.supports_tools: - tool_configs["submit_proof"] = {} - return tool_configs - - def _uses_local_loogle(self, config: ToolConfig) -> bool: - return bool( - config.get("loogle_local") - or config.get("loogle_daemon_url") - or os.getenv("LEAN_LOOGLE_LOCAL", "").lower() == "true" - or os.getenv("LOOGLE_DAEMON_URL") - ) - - def _record_tool_usage( - self, - tool_usage_log: list[dict[str, Any]], - tool_call: Any, - log_details: dict[str, Any], - ) -> None: - tool_usage_log.append( - {"turn": self.turns_used, "tool_call_id": tool_call.id, "tool_name": tool_call.name, **log_details} + ) ) - - def _aggregate_tokens(self, result: Any) -> None: - """Aggregate token usage from a model query result.""" - metadata = getattr(result, "metadata", None) - if metadata is None: - return - - for key in TOKEN_KEYS: - val = metadata.get(key, 0) if isinstance(metadata, dict) else getattr(metadata, key, 0) - self.token_usage[key] += val or 0 - cost = metadata.get("cost", 0) if isinstance(metadata, dict) else getattr(metadata, "cost", 0) - if isinstance(cost, dict): - self.total_cost += cost.get("total", 0) or 0 - elif isinstance(cost, (int, float)): - self.total_cost += cost - elif hasattr(cost, "total"): - self.total_cost += getattr(cost, "total", 0) or 0 - - def _build_tools(self): - tools = [] - - if self.loogle_config and self.model.supports_tools: - tools.append(create_loogle_tool(self.loogle_config)) - elif self.loogle_config: - logger.warning("Model %s does not support tools, skipping lean_loogle", self.model_str) - - if self.run_code_config and self.model.supports_tools: - tools.append(create_run_code_tool(self.run_code_config)) - elif self.run_code_config: - logger.warning("Model %s does not support tools, skipping lean_run_code", self.model_str) - - if self.enable_submission_tool and self.model.supports_tools: - tools.append(create_submission_tool()) - - return tools - - async def _verify_submission(self, proof: str) -> tuple[bool, str]: - """Verifies a submitted proof by running it through Lean.""" - if not self.run_code_config: - return True, "Verification skipped (no run_code_config)" - - header = self.problem_context.get("header", "") - formal = self.problem_context.get("formal", "") - if not formal: - return True, "Verification skipped (no formal statement)" - - formal_clean = formal - if ":=" in formal_clean: - formal_clean = formal_clean.split(":=")[0].strip() + " :=" - - if "sorry" in proof.lower(): - return False, "Proof contains 'sorry' - incomplete proof" - - full_code = f"{header}\n\n{formal_clean}\n{proof}" - result_text, _ = await run_lean_code(full_code, timeout=90, config=self.run_code_config) - result_lower = result_text.lower() - - if "error" in result_lower: - return False, f"Lean error: {result_text[:500]}" - if "unsolved goals" in result_lower: - return False, f"Proof incomplete: {result_text[:500]}" - - return True, "Proof verified successfully" - - async def run(self, query_text: str, system_prompt: str | None = None) -> tuple[Any, list[dict[str, Any]]]: - """Runs the agent loop until submission or max turns reached.""" - if not query_text or not query_text.strip(): - raise ValueError("Query text cannot be empty") - - tool_usage_log: list[dict[str, Any]] = [] - - tool_configs = self._build_tool_configs() - - query_args: dict[str, Any] = {"input": [TextInput(text=query_text)]} - if system_prompt: - query_args["system_prompt"] = system_prompt - if self.tools: - query_args["tools"] = self.tools - - result = None - while self.turns_used < self.max_turns: - self.turns_used += 1 - result = await self._query_with_retries(query_args) - self._aggregate_tokens(result) - - if not getattr(result, "tool_calls", None): - query_args["input"] = [ - TextInput( - text="Continue your solution attempt. You can use lean_loogle and lean_run_code tools as needed. When your solution is complete, call submit_proof - your work is only graded if you call this tool, and you cannot continue after calling it. " - + self._turn_status() - ), - ] - query_args["history"] = result.history - continue - - supported_calls = [tc for tc in result.tool_calls if tc.name in tool_configs][:6] - if not supported_calls: - break - - is_final_turn = self.turns_used >= self.max_turns - if is_final_turn: - submit_calls = [tc for tc in supported_calls if tc.name == "submit_proof"] - if submit_calls: - supported_calls = submit_calls[:1] - else: - logger.warning("Final turn reached without submit_proof call - forcing end") - break - - logger.info("Turn %d: %d tool call(s). %s", self.turns_used, len(supported_calls), self._turn_status()) - tool_results: list[ToolResult] = [] - - for tool_call in supported_calls: - log_details: dict[str, Any] = {} - result_text = "" - try: - if tool_call.name == "lean_loogle": - result_text, log_details = await execute_loogle_tool(tool_call, tool_configs["lean_loogle"]) - self.tool_call_counts["lean_loogle"] += 1 - if not self._uses_local_loogle(tool_configs["lean_loogle"]): - await asyncio.sleep(15) - - elif tool_call.name == "lean_run_code": - result_text, log_details = await execute_run_code_tool(tool_call, tool_configs["lean_run_code"]) - self.tool_call_counts["lean_run_code"] += 1 - - elif tool_call.name == "submit_proof": - proof_text, log_details = extract_submission(tool_call) - self.tool_call_counts["submit_proof"] += 1 - - if "error" in log_details: - self._record_tool_usage(tool_usage_log, tool_call, log_details) - tool_results.append(ToolResult(tool_call=tool_call, result=proof_text)) - continue - - is_valid, verify_msg = await self._verify_submission(proof_text) - log_details["verified"] = is_valid - log_details["verify_message"] = verify_msg - self._record_tool_usage(tool_usage_log, tool_call, log_details) - - return SimpleNamespace( - output_text=proof_text, - tool_calls=[], - history=result.history, - verified=is_valid, - verify_message=verify_msg, - stats=self.get_stats(), - ), tool_usage_log - - else: - result_text = json.dumps({"error": f"Unsupported tool: {tool_call.name}"}) - log_details = {"error": f"Unsupported tool: {tool_call.name}"} - except Exception as exc: - logger.exception("Tool execution failed for %s", tool_call.name) - result_text = json.dumps({"error": f"Tool execution failed: {exc}"}) - log_details = { - "error": f"Tool execution failed: {exc}", - "exception_type": type(exc).__name__, - } - - self._record_tool_usage(tool_usage_log, tool_call, log_details) - tool_results.append(ToolResult(tool_call=tool_call, result=result_text)) - - query_args["input"] = [*tool_results, TextInput(text=self._turn_status())] - query_args["history"] = result.history - - return SimpleNamespace( - output_text=getattr(result, "output_text", "") if result else "", - tool_calls=getattr(result, "tool_calls", []) if result else [], - history=getattr(result, "history", []) if result else [], - verified=False, - verify_message="No submission made", - stats=self.get_stats(), - ), tool_usage_log + return history + + +def _determine_answer( + state: dict[str, Any], + turns: list[AgentTurn | ErrorTurn], + final_error: SerializableException | None, +) -> str: + return state.get("proof_text", "") + + +# --------------------------------------------------------------------------- +# Public API +# --------------------------------------------------------------------------- + + +async def run_agent( + model_str: str, + query_text: str, + system_prompt: str | None = None, + loogle_config: ToolConfig | None = None, + run_code_config: ToolConfig | None = None, + problem_context: dict[str, str] | None = None, + max_turns: int = 40, + question_id: str = "proof", + log_dir: Path = Path("logs"), +) -> AgentResult: + """Run the proof agent and return AgentResult.""" + model = get_registry_model(model_str) + + tools = [] + if loogle_config and model.supports_tools: + tools.append(LoogleTool(loogle_config)) + if run_code_config and model.supports_tools: + tools.append(RunCodeTool(run_code_config)) + if model.supports_tools: + tools.append(SubmitProofTool(run_code_config, problem_context or {})) + + config = AgentConfig( + turn_limit=TurnLimit( + max_turns=max_turns, + turn_message=_turn_message, + tool_filter=_tool_filter, + ), + time_limit=None, + max_tool_calls_per_turn=6, + ) + + hooks = AgentHooks( + should_stop=_should_stop, + before_query=_before_query, + determine_answer=_determine_answer, + ) + + input_items: list[InputItem] = [] + if system_prompt: + input_items.append(SystemInput(text=system_prompt)) + input_items.append(TextInput(text=query_text)) + + agent = Agent( + llm=model, + tools=tools, + name="proof-bench", + log_dir=log_dir, + config=config, + hooks=hooks, + ) + + return await agent.run( + input=input_items, + question_id=question_id, + ) diff --git a/proof_bench/custom_model.py b/proof_bench/custom_model.py index 0a80aba..e70c397 100644 --- a/proof_bench/custom_model.py +++ b/proof_bench/custom_model.py @@ -5,14 +5,13 @@ import json import logging import os -import shutil -import time from datetime import datetime from pathlib import Path from typing import Any from vals.sdk.types import OutputObject +from proof_bench.mcp_client import resolve_stdio_command from proof_bench.service import ProofBenchService logger = logging.getLogger(__name__) @@ -34,23 +33,13 @@ def _env_enabled(name: str) -> bool: return os.getenv(name, "").strip().lower() in {"1", "true", "yes", "on"} -def _resolve_stdio_command() -> list[str]: - if uvx := shutil.which("uvx"): - return [uvx, "lean-lsp-mcp", "--transport", "stdio"] - if python3 := shutil.which("python3"): - return [python3, "-m", "lean_lsp_mcp", "--transport", "stdio"] - if python := shutil.which("python"): - return [python, "-m", "lean_lsp_mcp", "--transport", "stdio"] - raise RuntimeError("Could not find uvx/python3/python to launch lean-lsp-mcp") - - def _make_tool_config() -> dict: global _LOOGLE_DEFAULT_WARNING_EMITTED config: dict[str, Any] = { "transport": "stdio", "project_path": str(_PROOF_BENCH_ROOT), - "stdio_command": _resolve_stdio_command(), + "stdio_command": resolve_stdio_command(), } if daemon_url := os.getenv("LOOGLE_DAEMON_URL"): config["loogle_daemon_url"] = daemon_url @@ -126,48 +115,48 @@ async def custom_call(test_input: str): if isinstance(log_dir, str): log_dir = Path(log_dir).expanduser() - start = time.perf_counter() - try: - result = await service.solve_problem( - problem_id=config["problem_id"], - dataset=config["dataset"], - model=config["model"], - k=config["k"], - include_nl_proof=config["include_nl_proof"], - log_dir=log_dir, - loogle_config=config.get("loogle_config"), - run_code_config=config.get("run_code_config"), - max_turns=config["max_turns"], - ) - except Exception as exc: - logger.exception("Proof Bench run failed: %s", exc) - return {"llm_output": "ERROR", "output_context": {"error": str(exc)}} - - duration = time.perf_counter() - start - return OutputObject( - llm_output="true" if result.pass_at_k else "false", - in_tokens=result.total_input_tokens, - out_tokens=result.total_output_tokens, - duration=duration, - cost=result.total_cost, - output_context={ - "problem_id": result.id, - "pass_at_k": result.pass_at_k, - "attempts": result.attempts, - "successful_attempts": result.successful_attempts, - "total_attempts": result.total_attempts, - "query_metadata": { - "cost": {"total": result.total_cost}, - **result.token_usage, - }, - "config": { - "dataset": config["dataset"], - "include_nl_proof": config["include_nl_proof"], - "max_turns": config["max_turns"], - "k": config["k"], - "model": config["model"], + result = await service.solve_problem( + problem_id=config["problem_id"], + dataset=config["dataset"], + model=config["model"], + k=config["k"], + include_nl_proof=config["include_nl_proof"], + log_dir=log_dir, + loogle_config=config.get("loogle_config"), + run_code_config=config.get("run_code_config"), + max_turns=config["max_turns"], + ) + + if not result.agent_results: + return OutputObject( + llm_output="false", + output_context={ + "problem_id": result.id, + "pass_at_k": False, + "attempts": result.attempts, + "error": "all attempts failed without producing an AgentResult", }, + ) + + agent_result = result.agent_results[-1] + output_context = { + **agent_result.model_dump(), + "output_dir": str(agent_result.output_dir), + "problem_id": result.id, + "pass_at_k": result.pass_at_k, + "attempts": result.attempts, + "successful_attempts": result.successful_attempts, + "total_attempts": result.total_attempts, + "config": { + "dataset": config["dataset"], + "include_nl_proof": config["include_nl_proof"], + "max_turns": config["max_turns"], + "k": config["k"], + "model": config["model"], }, - ) + } + output = OutputObject.from_agent_result(agent_result, output_context=output_context) + output.llm_output = "true" if result.pass_at_k else "false" + return output return custom_call diff --git a/proof_bench/loogle_daemon.py b/proof_bench/loogle_daemon.py index 86e0ef9..ecd7b92 100644 --- a/proof_bench/loogle_daemon.py +++ b/proof_bench/loogle_daemon.py @@ -10,10 +10,13 @@ import argparse import asyncio import json +import logging import signal import sys from pathlib import Path +logger = logging.getLogger(__name__) + CACHE_DIR = Path.home() / ".cache" / "lean-lsp-mcp" / "loogle" @@ -54,7 +57,7 @@ async def _start_subprocess(self) -> str | None: try: line = await asyncio.wait_for(self.proc.stdout.readline(), timeout=120) if b"Loogle is ready" in line: - print("[INFO] Loogle subprocess started") + logger.info("Loogle subprocess started") return None return f"Unexpected startup: {line.decode()[:100]}" except TimeoutError: @@ -69,9 +72,9 @@ async def query(self, q: str, limit: int = 8) -> dict: async with self.lock: if not self.proc or self.proc.returncode is not None: if self.proc and self.proc.returncode is not None: - print(f"[WARN] Loogle process died (code {self.proc.returncode}), restarting...") + logger.warning("Loogle process died (code %d), restarting...", self.proc.returncode) else: - print("[WARN] Loogle process not running, starting...") + logger.warning("Loogle process not running, starting...") err = await self._start_subprocess() if err: @@ -79,7 +82,7 @@ async def query(self, q: str, limit: int = 8) -> dict: try: query_bytes = f"{q}\n".encode() - print(f"[DEBUG] Query: {repr(q)[:100]}") + logger.debug("Query: %s", repr(q)[:100]) self.proc.stdin.write(query_bytes) await self.proc.stdin.drain() @@ -87,29 +90,29 @@ async def query(self, q: str, limit: int = 8) -> dict: line_str = line.decode().strip() if not line_str: - print("[WARN] Empty response from loogle") + logger.warning("Empty response from loogle") try: stderr = await asyncio.wait_for(self.proc.stderr.read(1000), timeout=0.5) if stderr: - print(f"[DEBUG] stderr: {stderr.decode()[:200]}") + logger.debug("stderr: %s", stderr.decode()[:200]) except TimeoutError: pass return {"error": "Empty response from loogle"} data = json.loads(line_str) - print(f"[DEBUG] Got response with {len(data.get('hits', []))} hits") + logger.debug("Got response with %d hits", len(data.get("hits", []))) except TimeoutError: return {"error": "Query timeout"} except json.JSONDecodeError as e: - print(f"[ERROR] JSON decode failed: {e}, raw: {line_str[:200]}") + logger.error("JSON decode failed: %s, raw: %s", e, line_str[:200]) return {"error": f"Invalid response: {e}"} except (BrokenPipeError, ConnectionResetError, ConnectionError) as e: - print(f"[ERROR] Connection to loogle lost: {e}") + logger.error("Connection to loogle lost: %s", e) self.proc = None return {"error": f"Loogle subprocess died: {e}"} except Exception as e: - print(f"[ERROR] Query failed: {e}") + logger.error("Query failed: %s", e) return {"error": str(e)} if err := data.get("error"): @@ -182,7 +185,7 @@ async def handle(self, reader: asyncio.StreamReader, writer: asyncio.StreamWrite try: params = json.loads(body_str) if body_str.strip() else {} except json.JSONDecodeError as e: - print(f"[ERROR] JSON parse failed: {e}, body={body_str[:200]!r}") + logger.error("JSON parse failed: %s, body=%r", e, body_str[:200]) params = {} result = await self.loogle.query( params.get("query", ""), @@ -211,9 +214,9 @@ async def _respond(self, writer: asyncio.StreamWriter, status: int, body: dict): async def run(self): """Start server and wait for shutdown signal.""" self.server = await asyncio.start_server(self.handle, self.host, self.port) - print(f"Listening on {self.host}:{self.port}") + logger.info("Listening on %s:%d", self.host, self.port) - loop = asyncio.get_event_loop() + loop = asyncio.get_running_loop() stop = asyncio.Event() for sig in (signal.SIGINT, signal.SIGTERM): loop.add_signal_handler(sig, stop.set) @@ -221,23 +224,24 @@ async def run(self): async with self.server: await stop.wait() - print("\nShutting down...") + logger.info("Shutting down") await self.loogle.stop() async def main(host: str, port: int): loogle = LoogleProcess() - print("Starting loogle...") + logger.info("Starting loogle...") if err := await loogle.start(): - print(f"Error: {err}", file=sys.stderr) + logger.error("Failed to start: %s", err) sys.exit(1) - print("Loogle ready") + logger.info("Loogle ready") await Server(loogle, host, port).run() if __name__ == "__main__": + logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") parser = argparse.ArgumentParser(description="Shared loogle HTTP daemon") parser.add_argument("--host", default="127.0.0.1") parser.add_argument("--port", type=int, default=8765) diff --git a/proof_bench/mcp_client.py b/proof_bench/mcp_client.py new file mode 100644 index 0000000..b5acaec --- /dev/null +++ b/proof_bench/mcp_client.py @@ -0,0 +1,552 @@ +"""MCP client infrastructure for Proof Bench.""" + +from __future__ import annotations + +import asyncio +import json +import logging +import os +import shutil +import time +import weakref +from pathlib import Path +from typing import Any, Literal, TypedDict + +from mcp import ClientSession +from mcp.client.stdio import StdioServerParameters, stdio_client + +logger = logging.getLogger(__name__) + + +class _SuppressLSPCleanupFilter(logging.Filter): + """Drop noisy LSP file-worker termination messages.""" + + def filter(self, record: logging.LogRecord) -> bool: + msg = record.getMessage().lower() + return not ("the file worker for" in msg and "has been terminated" in msg) + + +_lsp_filter = _SuppressLSPCleanupFilter() +for _ln in ("mcp", "asyncio", "asyncio.base_events", "asyncio.futures"): + logging.getLogger(_ln).addFilter(_lsp_filter) + +MAX_TIMEOUT = 90 +BOOTSTRAP_TIMEOUT_SECONDS = 600 +MCP_INIT_ATTEMPTS = 3 + + +class ToolConfig(TypedDict, total=False): + """Configuration for stdio MCP transport.""" + + transport: Literal["stdio"] + project_path: str | None + token: str | None + log_level: Literal["INFO", "WARNING", "ERROR", "NONE"] | None + stdio_command: list[str] + loogle_local: bool + loogle_daemon_url: str | None + max_results: int + client: Any + + +_task_clients: dict[int, StdioMCPClient] = {} +_loop_exception_handlers: weakref.WeakKeyDictionary[asyncio.AbstractEventLoop, Any] = weakref.WeakKeyDictionary() +_project_recovery_locks: dict[str, asyncio.Lock] = {} +_project_recovery_attempted: set[str] = set() +_project_recovery_succeeded: set[str] = set() + + +def _current_task_id() -> int: + task = asyncio.current_task() + return id(task) if task else 0 + + +def resolve_stdio_command(config: ToolConfig | None = None) -> list[str]: + """Resolve a portable command for launching lean-lsp-mcp.""" + if config and config.get("stdio_command"): + command = list(config["stdio_command"]) + if command: + return command + + if uvx := shutil.which("uvx"): + return [uvx, "lean-lsp-mcp", "--transport", "stdio"] + + if python3 := shutil.which("python3"): + return [python3, "-m", "lean_lsp_mcp", "--transport", "stdio"] + + if python := shutil.which("python"): + return [python, "-m", "lean_lsp_mcp", "--transport", "stdio"] + + raise RuntimeError("Could not find launcher for lean-lsp-mcp. Expected one of: uvx, python3, or python in PATH.") + + +def _json_error(message: str, **extra: Any) -> str: + return json.dumps({"error": message, **extra}) + + +def _loogle_local_enabled(config: ToolConfig) -> bool: + return config.get("loogle_local", False) or os.getenv("LEAN_LOOGLE_LOCAL", "").lower() == "true" + + +def _prepare_stdio_command(config: ToolConfig, loogle_local: bool) -> list[str]: + command = resolve_stdio_command(config) + if loogle_local and "--loogle-local" not in command: + return [*command, "--loogle-local"] + return command + + +def _build_client_env(config: ToolConfig, loogle_local: bool) -> dict[str, str] | None: + env: dict[str, str] = {} + if project_path := config.get("project_path"): + env["LEAN_PROJECT_PATH"] = str(Path(project_path)) + if token := config.get("token"): + env["LEAN_LSP_MCP_TOKEN"] = token + if log_level := config.get("log_level"): + env["LEAN_LOG_LEVEL"] = str(log_level) + if loogle_local: + env["LEAN_LOOGLE_LOCAL"] = "true" + return env or None + + +def _normalize_timeout(timeout: Any, default: int = MAX_TIMEOUT) -> int: + """Parse timeout value safely and clamp to [1, MAX_TIMEOUT].""" + if timeout is None: + return default + + try: + parsed = int(float(timeout)) + except (TypeError, ValueError): + return default + + if parsed < 1: + return 1 + return min(parsed, MAX_TIMEOUT) + + +def _project_key(config: ToolConfig) -> str: + project_path = config.get("project_path") + if project_path: + return str(Path(project_path).expanduser().resolve()) + return str(Path.cwd()) + + +def _is_missing_olean_failure(result_text: str) -> bool: + text = result_text.lower() + return "lake setup-file" in text and "no such file or directory" in text and ".olean" in text and "mathlib" in text + + +async def _run_bootstrap_command(command: list[str], cwd: str) -> tuple[bool, str]: + """Run a bootstrap command and capture output.""" + started_at = time.perf_counter() + process = await asyncio.create_subprocess_exec( + *command, + cwd=cwd, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + ) + + try: + stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=BOOTSTRAP_TIMEOUT_SECONDS) + except TimeoutError: + process.kill() + await process.wait() + return False, f"timeout after {BOOTSTRAP_TIMEOUT_SECONDS}s running: {' '.join(command)}" + + elapsed_s = round(time.perf_counter() - started_at, 2) + combined = (stdout.decode(errors="replace") + "\n" + stderr.decode(errors="replace")).strip() + summary = f"cmd={' '.join(command)} exit={process.returncode} elapsed={elapsed_s}s" + if combined: + summary = f"{summary}\n{combined}" + + return process.returncode == 0, summary + + +async def _attempt_project_recovery(config: ToolConfig) -> tuple[bool, str, bool]: + """Attempt one-time Lean dependency bootstrap for a project.""" + key = _project_key(config) + lock = _project_recovery_locks.setdefault(key, asyncio.Lock()) + + async with lock: + if key in _project_recovery_succeeded: + return True, "recovery already completed for project", False + if key in _project_recovery_attempted: + return False, "recovery already attempted for project", False + + _project_recovery_attempted.add(key) + project_dir = Path(key) + if not project_dir.exists(): + return False, f"project path does not exist: {project_dir}", True + + try: + update_ok, update_output = await _run_bootstrap_command(["lake", "update"], cwd=key) + cache_ok, cache_output = await _run_bootstrap_command(["lake", "exe", "cache", "get"], cwd=key) + success = update_ok and cache_ok + details = f"lake update: {update_output}\nlake exe cache get: {cache_output}" + except Exception as exc: + return False, f"recovery command failed: {exc}", True + + if success: + _project_recovery_succeeded.add(key) + + return success, details, True + + +def _suppress_mcp_cleanup_errors(loop, context): + """Suppress MCP cancel scope errors during cleanup (non-blocking, cosmetic).""" + msg = context.get("message", "") + exc = context.get("exception") + text = f"{msg}\n{exc}".lower() + + if ( + "cancel scope" in text + or "future exception was never retrieved" in text + or "task exception was never retrieved" in text + or "unhandled errors in a taskgroup" in text + ): + return + + previous_handler = _loop_exception_handlers.get(loop) + if previous_handler is not None and previous_handler is not _suppress_mcp_cleanup_errors: + previous_handler(loop, context) + else: + loop.default_exception_handler(context) + + +def _install_error_handler(): + """Install asyncio exception handler and log filters to suppress MCP cleanup noise.""" + # Add filter to all root handlers (catches anything that propagates up) + for handler in logging.root.handlers: + if _lsp_filter not in handler.filters: + handler.addFilter(_lsp_filter) + + try: + loop = asyncio.get_running_loop() + except RuntimeError: + return + + current_handler = loop.get_exception_handler() + if current_handler is _suppress_mcp_cleanup_errors: + return + + _loop_exception_handlers[loop] = current_handler + loop.set_exception_handler(_suppress_mcp_cleanup_errors) + + +class StdioMCPClient: + """Async MCP client over stdio transport.""" + + def __init__(self, command: list[str], env: dict[str, str] | None = None) -> None: + if not command: + raise ValueError("Command list cannot be empty") + + self._command = command + if env: + merged_env = os.environ.copy() + merged_env.update(env) + self._env = merged_env + else: + self._env = None + self._session: ClientSession | None = None + self._read_stream: Any = None + self._write_stream: Any = None + self._process: Any = None + self._lock = asyncio.Lock() + self._closing = False + self._owner_task_id: int | None = None + + async def _ensure_session(self) -> None: + """Lazily initialize the MCP session (spawns subprocess on first call).""" + if self._session is not None: + return + + async with self._lock: + if self._session is not None: + return + + params = StdioServerParameters( + command=self._command[0], + args=self._command[1:], + env=self._env, + ) + + cm = stdio_client(params) + transport = await cm.__aenter__() + self._read_stream, self._write_stream = transport + self._process = cm + + session = ClientSession( + read_stream=self._read_stream, + write_stream=self._write_stream, + ) + await session.__aenter__() + await session.initialize() + self._session = session + task = asyncio.current_task() + self._owner_task_id = id(task) if task else 0 + + async def call_tool(self, name: str, arguments: dict[str, Any]) -> str: + """Call an MCP tool and return the result as a string.""" + try: + await self._ensure_session() + assert self._session is not None + + result = await self._session.call_tool(name=name, arguments=arguments) + + if result.isError: + error_text = ( + " ".join(getattr(c, "text", "") for c in getattr(result, "content", [])).strip() + or "Unknown MCP error" + ) + return json.dumps({"error": error_text}) + + chunks = [] + for item in result.content: + text = getattr(item, "text", None) + if text is not None: + chunks.append(text) + else: + try: + chunks.append(json.dumps(item.model_dump())) + except Exception: + chunks.append(str(item)) + + return "\n".join(chunks) if chunks else "" + + except Exception as exc: + if "closed" in str(exc).lower() or "connection" in str(exc).lower(): + logger.warning("MCP connection error, invalidating session: %s", exc) + self._session = None + else: + logger.exception("MCP call failed") + return json.dumps({"error": str(exc)}) + + async def aclose(self) -> None: + """Best-effort cleanup. Errors suppressed since cleanup may cross task boundaries.""" + if self._closing: + return + self._closing = True + + task = asyncio.current_task() + current_task_id = id(task) if task else 0 + if self._owner_task_id is not None and current_task_id != self._owner_task_id: + logger.debug( + "Closing MCP client from different task (owner=%s current=%s)", + self._owner_task_id, + current_task_id, + ) + + session = self._session + process = self._process + self._session = None + self._process = None + self._read_stream = None + self._write_stream = None + self._owner_task_id = None + + try: + await self._safe_aexit(session, "session") + await self._safe_aexit(process, "transport") + finally: + self._closing = False + + async def _safe_aexit(self, resource: Any, label: str, timeout_s: int = 5) -> None: + if resource is None: + return + aexit = getattr(resource, "__aexit__", None) + if not callable(aexit): + return + try: + await asyncio.wait_for(aexit(None, None, None), timeout=timeout_s) + except TimeoutError: + logger.warning("Timed out closing MCP %s", label) + except Exception as exc: + logger.debug("Error closing MCP %s: %s", label, exc) + + async def health_check(self) -> tuple[bool, str]: + """Test connectivity with a simple Lean command.""" + try: + result = await self.call_tool("lean_run_code", {"code": "#check Nat", "timeout": 30}) + if "error" in result.lower() and "unknown" not in result.lower(): + return False, f"Health check failed: {result[:200]}" + return True, "MCP server healthy" + except Exception as e: + return False, f"Connection failed: {e}" + + +async def _get_stdio_client(config: ToolConfig) -> StdioMCPClient: + """Get or create a stdio MCP client.""" + _install_error_handler() + + task_id = _current_task_id() + + if task_id in _task_clients: + client = _task_clients[task_id] + if client._session is not None: + return client + logger.debug("Removing stale MCP client for task %s", task_id) + del _task_clients[task_id] + + loogle_local = _loogle_local_enabled(config) + command = _prepare_stdio_command(config, loogle_local) + env = _build_client_env(config, loogle_local) + + for attempt in range(MCP_INIT_ATTEMPTS): + client = StdioMCPClient(command=list(command), env=env) + try: + await client._ensure_session() + _task_clients[task_id] = client + return client + except Exception as e: + await client.aclose() + if attempt == MCP_INIT_ATTEMPTS - 1: + raise + logger.warning("MCP init failed (attempt %d): %s", attempt + 1, e) + await asyncio.sleep(2**attempt) + + raise RuntimeError("MCP client init failed") + + +async def _close_cached_client(task_id: int, client: StdioMCPClient) -> None: + try: + await asyncio.wait_for(client.aclose(), timeout=8) + except TimeoutError: + logger.warning("Timed out closing MCP client %s", task_id) + except Exception as e: + logger.debug("Error closing MCP client %s: %s", task_id, e) + + +async def cleanup_mcp_client(task_id: int | None = None) -> None: + """Close the MCP client for one task.""" + _install_error_handler() + + if task_id is None: + task_id = _current_task_id() + + client = _task_clients.pop(task_id, None) + if client is None: + return + + logger.info("Cleaning up MCP client for task %s", task_id) + await _close_cached_client(task_id, client) + + +async def cleanup_current_task_mcp_client() -> None: + """Close the MCP client for the current task.""" + await cleanup_mcp_client() + + +async def cleanup_mcp_clients() -> None: + """Close all cached MCP clients and their subprocesses.""" + global _task_clients + _install_error_handler() + + if not _task_clients: + return + + logger.info("Cleaning up %d MCP client(s)", len(_task_clients)) + + clients = list(_task_clients.items()) + _task_clients.clear() + + for task_id, client in clients: + await _close_cached_client(task_id, client) + logger.info("MCP client cleanup complete") + + +async def check_mcp_server(config: ToolConfig | None = None) -> tuple[bool, str]: + """Verify MCP server is running and responsive.""" + if config is None: + config = {"transport": "stdio", "loogle_local": True} + + try: + client = await _get_stdio_client(config) + return await client.health_check() + except Exception as e: + return False, f"Failed to connect: {e}" + + +async def _query_loogle_daemon(url: str, query: str, max_results: int) -> str: + """Query the shared loogle daemon via HTTP.""" + import urllib.error + import urllib.request + + def _do_request() -> str: + body = json.dumps({"query": query, "max_results": max_results}).encode() + req = urllib.request.Request( + f"{url.rstrip('/')}/query", + data=body, + headers={"Content-Type": "application/json"}, + method="POST", + ) + try: + with urllib.request.urlopen(req, timeout=35) as resp: + return resp.read().decode() + except urllib.error.URLError as e: + if "Connection refused" in str(e): + raise ConnectionError( + f"Daemon not running at {url}. Start with: python -m proof_bench.loogle_daemon" + ) from e + raise + + loop = asyncio.get_running_loop() + return await loop.run_in_executor(None, _do_request) + + +def _improve_loogle_error(result: str, query: str) -> str: + """Add helpful hints to loogle error messages about query syntax.""" + try: + data = json.loads(result) + if "error" not in data: + return result + + error = data["error"] + hints = [] + + if "Function expected" in error and "String" in error: + hints.append( + "HINT: You're mixing query patterns. Use ONLY ONE pattern per query: " + 'either "substring" (quoted) OR ConstantName (unquoted), not both.' + ) + if "unexpected end of input" in error.lower(): + hints.append("HINT: Query has unbalanced brackets/parens. Simplify/fix your query.") + if "Unknown identifier" in error or "unknown identifier" in error: + if not query.startswith('"'): + hints.append( + f"HINT: '{query.split()[0]}' not found as a constant. Try substring search with quotes: \"keyword\"" + ) + + if hints: + data["hints"] = hints + return json.dumps(data) + except (json.JSONDecodeError, KeyError): + pass + return result + + +async def _execute_loogle_query(query: str, max_results: int, config: ToolConfig) -> str: + daemon_url = config.get("loogle_daemon_url") or os.getenv("LOOGLE_DAEMON_URL") + if daemon_url: + try: + return await _query_loogle_daemon(daemon_url, query, max_results) + except Exception as e: + return _json_error(f"Daemon query failed: {e}") + + client = await _get_stdio_client(config) + return await client.call_tool("lean_loogle", {"query": query, "max_results": max_results}) + + +async def run_lean_code(code: str, timeout: int, config: ToolConfig) -> str: + """Run Lean code via MCP. Used by both tool execution and proof verification.""" + timeout = _normalize_timeout(timeout) + client = await _get_stdio_client(config) + result = await client.call_tool("lean_run_code", {"code": code, "timeout": timeout}) + + if _is_missing_olean_failure(result): + recovered, _, _ = await _attempt_project_recovery(config) + if recovered: + result = await client.call_tool("lean_run_code", {"code": code, "timeout": timeout}) + + if "sorry" in code.lower(): + result += "\n\nWARNING: Code contains 'sorry'. This is not a complete proof." + + return result diff --git a/proof_bench/prover.py b/proof_bench/prover.py index f10e230..2192fbe 100644 --- a/proof_bench/prover.py +++ b/proof_bench/prover.py @@ -1,27 +1,18 @@ import asyncio -import contextvars -import json import logging from datetime import datetime from pathlib import Path from typing import Any -from .agent import LLMAgent +from model_library.agent import AgentResult, TurnSummary + +from .agent import run_agent +from .mcp_client import _loop_exception_handlers, _suppress_mcp_cleanup_errors, cleanup_current_task_mcp_client from .prompts import build_prompt from .tools import ToolConfig from .utils import _strip_leading_empty_lines, _strip_response_and_format_proof, strip_comment_blocks -PROBLEM_LOG_CONTEXT: contextvars.ContextVar[str | None] = contextvars.ContextVar("problem_log_context", default=None) -_ORIGINAL_LOG_RECORD_FACTORY = logging.getLogRecordFactory() - - -def _problem_log_record_factory(*args, **kwargs): - record = _ORIGINAL_LOG_RECORD_FACTORY(*args, **kwargs) - record.problem_log_owner = PROBLEM_LOG_CONTEXT.get() - return record - - -logging.setLogRecordFactory(_problem_log_record_factory) +logger = logging.getLogger(__name__) class ProofResult: @@ -34,16 +25,14 @@ def __init__( model_response: str, processed_response: str, full_code: str | None = None, - tool_logs: list[dict[str, Any]] | None = None, - stats: dict[str, Any] | None = None, + agent_result: AgentResult | None = None, ): self.attempt_num = attempt_num self.is_valid = is_valid self.model_response = model_response self.processed_response = processed_response self.full_code = full_code - self.tool_logs = tool_logs or [] - self.stats = stats or {} + self.agent_result = agent_result class ProblemResult: @@ -51,17 +40,11 @@ class ProblemResult: def __init__(self, problem_id: str, attempts: list[ProofResult]): self.id = problem_id - self.pass_at_k = any(attempt.is_valid for attempt in attempts) - self.successful_attempts = sum(attempt.is_valid for attempt in attempts) + self.pass_at_k = any(a.is_valid for a in attempts) + self.successful_attempts = sum(a.is_valid for a in attempts) self.total_attempts = len(attempts) - self.max_attempts = self.total_attempts - - _, _, token_usage, total_cost = _aggregate_attempt_stats(attempts) - self.token_usage = token_usage - self.total_cost = total_cost - self.total_input_tokens = token_usage.get("total_input_tokens", 0) - self.total_output_tokens = token_usage.get("total_output_tokens", 0) + self.agent_results = [a.agent_result for a in attempts if a.agent_result is not None] self.attempts = [ { "attempt_num": a.attempt_num, @@ -69,35 +52,13 @@ def __init__(self, problem_id: str, attempts: list[ProofResult]): "model_response": a.model_response, "processed_response": a.processed_response, "full_code": a.full_code, - "tool_logs": a.tool_logs, - "stats": a.stats, } for a in attempts ] -def _aggregate_attempt_stats(attempts: list["ProofResult"]) -> tuple[int, dict[str, int], dict[str, int], float]: - """Aggregate tool usage, tokens, and cost across multiple attempts.""" - total_tool_calls = 0 - tool_breakdown: dict[str, int] = {} - token_usage: dict[str, int] = {} - total_cost = 0.0 - - for attempt in attempts: - stats = attempt.stats or {} - total_tool_calls += stats.get("total_tool_calls", 0) or 0 - for tool_name, count in stats.get("tool_call_breakdown", {}).items(): - tool_breakdown[tool_name] = tool_breakdown.get(tool_name, 0) + count - for token_key, count in stats.get("token_usage", {}).items(): - token_usage[token_key] = token_usage.get(token_key, 0) + count - total_cost += stats.get("total_cost", 0) or 0 - - return total_tool_calls, tool_breakdown, token_usage, total_cost - - def aggregate_results( results: list[ProblemResult], - proof_results: list[list["ProofResult"]] | None = None, start_time: datetime | None = None, end_time: datetime | None = None, ) -> dict[str, Any]: @@ -108,39 +69,30 @@ def aggregate_results( "pass_at_k_count": 0, "pass_at_k_rate": 0.0, "actual_attempts": 0, - "max_possible_attempts": 0, "successful_attempts": 0, "overall_success_rate": 0.0, "total_tool_calls": 0, "tool_call_breakdown": {}, - "token_usage": {}, "total_cost": 0.0, "duration_seconds": 0.0, } total = len(results) pass_at_k_count = sum(r.pass_at_k for r in results) - pass_at_k_rate = pass_at_k_count / total - actual_attempts = sum(r.total_attempts for r in results) - max_possible_attempts = sum(r.max_attempts for r in results) successful_attempts = sum(r.successful_attempts for r in results) - overall_success_rate = successful_attempts / actual_attempts if actual_attempts > 0 else 0.0 total_tool_calls = 0 tool_breakdown: dict[str, int] = {} - token_usage: dict[str, int] = {} total_cost = 0.0 - if proof_results: - for problem_attempts in proof_results: - problem_tool_calls, problem_tools, problem_tokens, problem_cost = _aggregate_attempt_stats(problem_attempts) - total_tool_calls += problem_tool_calls - for tool_name, count in problem_tools.items(): - tool_breakdown[tool_name] = tool_breakdown.get(tool_name, 0) + count - for token_key, count in problem_tokens.items(): - token_usage[token_key] = token_usage.get(token_key, 0) + count - total_cost += problem_cost + for r in results: + for ar in r.agent_results: + total_tool_calls += ar.tool_calls_count + for name, count in ar.tool_usage.items(): + tool_breakdown[name] = tool_breakdown.get(name, 0) + count + meta = ar.final_aggregated_metadata + total_cost += meta.cost.total if meta.cost else 0.0 duration_seconds = 0.0 if start_time and end_time: @@ -149,45 +101,17 @@ def aggregate_results( return { "total_theorems": total, "pass_at_k_count": pass_at_k_count, - "pass_at_k_rate": pass_at_k_rate, + "pass_at_k_rate": pass_at_k_count / total, "actual_attempts": actual_attempts, - "max_possible_attempts": max_possible_attempts, "successful_attempts": successful_attempts, - "overall_success_rate": overall_success_rate, + "overall_success_rate": successful_attempts / actual_attempts if actual_attempts > 0 else 0.0, "total_tool_calls": total_tool_calls, "tool_call_breakdown": tool_breakdown, - "token_usage": token_usage, "total_cost": total_cost, "duration_seconds": duration_seconds, } -def _setup_problem_logging( - log_dir: Path | None, problem_id: str -) -> tuple[logging.Handler | None, contextvars.Token[str | None] | None]: - """Set up per-problem logging if log_dir is provided.""" - if not log_dir: - return None, None - - problem_log_dir = log_dir / problem_id - problem_log_dir.mkdir(parents=True, exist_ok=True) - - problem_log_file = problem_log_dir / "full_trace.log" - problem_log_handler = logging.FileHandler(problem_log_file) - problem_log_handler.setLevel(logging.DEBUG) - problem_log_handler.setFormatter(logging.Formatter("%(asctime)s - %(levelname)s - %(message)s")) - token = PROBLEM_LOG_CONTEXT.set(problem_id) - - class _ProblemLogFilter(logging.Filter): - def filter(self, record: logging.LogRecord) -> bool: # pragma: no cover - simple predicate - return getattr(record, "problem_log_owner", None) == problem_id - - problem_log_handler.addFilter(_ProblemLogFilter()) - logging.getLogger().addHandler(problem_log_handler) - - return problem_log_handler, token - - async def _run_single_attempt( item: dict[str, Any], attempt_num: int, @@ -196,10 +120,9 @@ async def _run_single_attempt( loogle_config: ToolConfig | None, run_code_config: ToolConfig | None, max_turns: int = 40, + log_dir: Path | None = None, ) -> ProofResult: """Run a single proof attempt for a problem.""" - logging.info(f" Attempt {attempt_num + 1}") - system_prompt, user_prompt = build_prompt( item, include_nl_proof=include_nl_proof, @@ -207,53 +130,30 @@ async def _run_single_attempt( max_turns=max_turns, ) - logging.info(f"Full user prompt to model:\n{user_prompt}\n") - logging.debug(f"System prompt (first 200 chars):\n{system_prompt[:200]}...\n") - - tool_usage_log: list[dict[str, Any]] = [] - try: - agent = LLMAgent( + result = await run_agent( model_str, + user_prompt, + system_prompt=system_prompt, loogle_config=loogle_config, run_code_config=run_code_config, - enable_submission_tool=True, - max_turns=max_turns, problem_context={"header": item.get("header", ""), "formal": item.get("formal", "")}, + max_turns=max_turns, + question_id=item.get("id", "proof"), + log_dir=log_dir or Path("logs"), ) - result, tool_usage_log = await agent.run(user_prompt, system_prompt=system_prompt) - response = result.output_text if hasattr(result, "output_text") else str(result) - logging.info(f"Raw model response (unprocessed):\n{response}\n") - processed_response = _strip_response_and_format_proof(response) - logging.info(f"Model response (processed):\n{processed_response}\n") - - if hasattr(result, "tool_calls") and result.tool_calls: - logging.info(f"Tool calls made: {len(result.tool_calls)}") - logging.info(f"Tool calls details:\n{json.dumps(result.tool_calls, indent=2, default=str)}") - except Exception as e: - logging.warning(f"LLM query failed on attempt {attempt_num + 1}: {e}") + logger.warning("LLM query failed on attempt %d: %s", attempt_num + 1, e) diagnostic = f"[internal_error] attempt {attempt_num + 1} failed: {type(e).__name__}: {e}" - return ProofResult( - attempt_num + 1, - False, - diagnostic, - diagnostic, - tool_logs=tool_usage_log, - stats={"error": str(e), "error_type": type(e).__name__, "attempt_failed": True}, - ) + return ProofResult(attempt_num + 1, False, diagnostic, diagnostic) - processing_error: str | None = None + response = result.final_answer + processed_response = _strip_response_and_format_proof(response) if processed_response is None: - processing_error = "response rejected during post-processing" processed_response = "" if not processed_response.strip(): - logging.info("Skipping proof check - empty response from LLM") - stats = dict(getattr(result, "stats", {}) or {}) - if processing_error: - stats["processing_error"] = processing_error - return ProofResult(attempt_num + 1, False, response, processed_response, tool_logs=tool_usage_log, stats=stats) + return ProofResult(attempt_num + 1, False, response, processed_response, agent_result=result) clean_header = strip_comment_blocks(item["header"]) clean_header = "\n".join(_strip_leading_empty_lines(clean_header.split("\n"))) @@ -262,19 +162,14 @@ async def _run_single_attempt( formal_code = formal_code.split(":=")[0].strip() + " :=" full_code = f"{clean_header}\n{formal_code}\n{processed_response}" - is_valid = getattr(result, "verified", False) - logging.info(f"Proof valid (from agent verification): {is_valid}") - - stats = getattr(result, "stats", {}) - return ProofResult( - attempt_num + 1, - is_valid, - response, - processed_response, - full_code, - tool_logs=tool_usage_log, - stats=stats, + is_valid = any( + tc.success + for turn in result.turns + if isinstance(turn, TurnSummary) + for tc in turn.tool_calls + if tc.tool_name == "submit_proof" and tc.done ) + return ProofResult(attempt_num + 1, is_valid, response, processed_response, full_code, agent_result=result) async def _process_single_problem( @@ -286,13 +181,8 @@ async def _process_single_problem( run_code_config: ToolConfig | None, log_dir: Path | None, max_turns: int = 40, -) -> tuple[ProblemResult, list[ProofResult]]: +) -> ProblemResult: """Process all attempts for a single problem.""" - problem_id = item["id"] - logging.info(f"Processing theorem {problem_id} with k={k} attempts") - - problem_log_handler, problem_log_token = _setup_problem_logging(log_dir, problem_id) - try: attempts = [] for attempt_num in range(k): @@ -304,66 +194,20 @@ async def _process_single_problem( loogle_config, run_code_config, max_turns, + log_dir, ) attempts.append(result) - if result.is_valid: - logging.info(f" ✓ Success on attempt {attempt_num + 1}! Breaking early.") break - problem_result = ProblemResult(problem_id, attempts) - logging.info( - f"Result for theorem {problem_id}: Pass@{k}={problem_result.pass_at_k} " - f"({problem_result.successful_attempts}/{problem_result.total_attempts} successful)" - ) - - if log_dir: - json_file = log_dir / problem_id / "results.json" - - total_tool_calls, tool_breakdown, token_usage, total_cost = _aggregate_attempt_stats(attempts) - - with open(json_file, "w", encoding="utf-8") as f: - json.dump( - { - "id": problem_result.id, - "success": problem_result.pass_at_k, - "total_tool_calls": total_tool_calls, - "tool_call_breakdown": tool_breakdown, - "token_usage": token_usage, - "total_cost": total_cost, - "successful_attempts": problem_result.successful_attempts, - "total_attempts": problem_result.total_attempts, - "max_attempts": k, - "attempts": [ - { - "attempt_num": a.attempt_num, - "is_valid": a.is_valid, - "stats": a.stats, - } - for a in attempts - ], - }, - f, - indent=2, - ) - logging.info(f"Wrote results to {json_file}") - - return problem_result, attempts + return ProblemResult(item["id"], attempts) finally: try: - from proof_bench.tools import cleanup_current_task_mcp_client - await asyncio.wait_for(cleanup_current_task_mcp_client(), timeout=20) except TimeoutError: - logging.warning("Timed out while cleaning up MCP clients") + logger.debug("MCP cleanup timed out") except Exception as e: - logging.debug(f"MCP cleanup error (non-fatal): {e}") - - if problem_log_handler: - logging.getLogger().removeHandler(problem_log_handler) - problem_log_handler.close() - if problem_log_token: - PROBLEM_LOG_CONTEXT.reset(problem_log_token) + logger.warning("MCP cleanup failed: %s", e) def run_proving_pipeline( @@ -377,8 +221,6 @@ def run_proving_pipeline( max_turns: int = 40, ) -> tuple[list[ProblemResult], dict[str, Any]]: """Run the proving pipeline on a dataset.""" - from .tools import _loop_exception_handlers, _suppress_mcp_cleanup_errors - loop = None start_time = datetime.now() try: @@ -388,9 +230,8 @@ def run_proving_pipeline( loop.set_exception_handler(_suppress_mcp_cleanup_errors) results = [] - all_proof_results: list[list[ProofResult]] = [] for item in processed_dataset: - problem_result, attempts = loop.run_until_complete( + problem_result = loop.run_until_complete( _process_single_problem( item, model_str, @@ -403,16 +244,9 @@ def run_proving_pipeline( ) ) results.append(problem_result) - all_proof_results.append(attempts) end_time = datetime.now() - summary = aggregate_results(results, all_proof_results, start_time, end_time) - logging.info(f"Results Summary: {summary}") - - if log_dir: - summary_file = log_dir / "aggregated_results.json" - with open(summary_file, "w", encoding="utf-8") as f: - json.dump(summary, f, indent=2) + summary = aggregate_results(results, start_time, end_time) return results, summary finally: diff --git a/proof_bench/service.py b/proof_bench/service.py index 72beaa7..1e61941 100644 --- a/proof_bench/service.py +++ b/proof_bench/service.py @@ -17,7 +17,8 @@ class ProofBenchService: def __init__(self): """Initialize the service.""" - self._exported_problems = None + self._exported_problems: list[dict[str, Any]] | None = None + self._exported_problem_index: dict[str, dict[str, Any]] = {} self._exported_aliases: dict[str, list[dict[str, Any]]] = {} @staticmethod @@ -28,6 +29,7 @@ def _get_exported_dataset(self, alias: str) -> list[dict[str, Any]]: if alias == "exported": if self._exported_problems is None: self._exported_problems = load_exported_problems() + self._exported_problem_index = {p["id"]: p for p in self._exported_problems} return self._exported_problems if alias not in self._exported_aliases: @@ -44,13 +46,13 @@ def _load_dataset(self, dataset: str) -> list[dict[str, Any]]: def _get_problem(self, problem_id: str, dataset: str) -> dict | None: """Load and return a problem by ID from the specified dataset.""" - problems = self._load_dataset(dataset) - - for problem in problems: - if problem["id"] == problem_id: - return problem + if dataset == "exported": + self._get_exported_dataset("exported") # ensure loaded + return self._exported_problem_index.get(problem_id) - return None + # Alias datasets are small and rarely used; linear scan is fine here. + problems = self._load_dataset(dataset) + return next((p for p in problems if p["id"] == problem_id), None) async def solve_problem( self, @@ -73,7 +75,7 @@ async def solve_problem( if isinstance(log_dir, str): log_dir = Path(log_dir).expanduser() - problem_result, _attempts = await _process_single_problem( + return await _process_single_problem( problem, model, k, @@ -83,4 +85,3 @@ async def solve_problem( log_dir, max_turns, ) - return problem_result diff --git a/proof_bench/tools.py b/proof_bench/tools.py index c1180ec..7eb76c9 100644 --- a/proof_bench/tools.py +++ b/proof_bench/tools.py @@ -1,4 +1,4 @@ -"""Tool definitions and MCP execution for Proof Bench.""" +"""Tool subclasses for model_library Agent.""" from __future__ import annotations @@ -6,712 +6,192 @@ import json import logging import os -import shutil -import time -import weakref -from pathlib import Path -from typing import TYPE_CHECKING, Any, Literal +from typing import Any -from mcp import ClientSession -from mcp.client.stdio import StdioServerParameters, stdio_client -from model_library.base import ToolBody, ToolDefinition -from model_library.registry_utils import get_registry_model # noqa: F401 (re-exported) -from typing_extensions import TypedDict +from model_library.agent import Tool, ToolOutput -if TYPE_CHECKING: - from model_library.base import ToolCall +from .mcp_client import ( + MAX_TIMEOUT, + ToolConfig, + _execute_loogle_query, + _improve_loogle_error, + _json_error, + _normalize_timeout, + run_lean_code, +) -logger = logging.getLogger(__name__) -MAX_TIMEOUT = 90 -BOOTSTRAP_TIMEOUT_SECONDS = 600 -MCP_INIT_ATTEMPTS = 3 -RESULT_EXCERPT_LENGTH = 400 +class LoogleTool(Tool): + """Loogle lemma search tool for model_library Agent.""" - -class ToolConfig(TypedDict, total=False): - """Configuration for stdio MCP transport.""" - - transport: Literal["stdio"] - project_path: str | None - token: str | None - log_level: Literal["INFO", "WARNING", "ERROR", "NONE"] | None - stdio_command: list[str] - loogle_local: bool - loogle_daemon_url: str | None - max_results: int - client: Any - - -_task_clients: dict[int, StdioMCPClient] = {} -_loop_exception_handlers: weakref.WeakKeyDictionary[asyncio.AbstractEventLoop, Any] = weakref.WeakKeyDictionary() -_project_recovery_locks: dict[str, asyncio.Lock] = {} -_project_recovery_attempted: set[str] = set() -_project_recovery_succeeded: set[str] = set() - - -def _current_task_id() -> int: - task = asyncio.current_task() - return id(task) if task else 0 - - -def resolve_stdio_command(config: ToolConfig | None = None) -> list[str]: - """Resolve a portable command for launching lean-lsp-mcp.""" - if config and config.get("stdio_command"): - command = list(config["stdio_command"]) - if command: - return command - - if uvx := shutil.which("uvx"): - return [uvx, "lean-lsp-mcp", "--transport", "stdio"] - - if python3 := shutil.which("python3"): - return [python3, "-m", "lean_lsp_mcp", "--transport", "stdio"] - - if python := shutil.which("python"): - return [python, "-m", "lean_lsp_mcp", "--transport", "stdio"] - - raise RuntimeError( - "Could not find launcher for lean-lsp-mcp. Expected one of: uvx, python3, or python in PATH." + name = "lean_loogle" + description = ( + "Search Mathlib for lemmas. Use sparingly, only when you need " + "a specific lemma or to check if a definition/result exists." ) + parameters = { + "query": { + "type": "string", + "description": ( + "Query patterns (use ONLY ONE pattern per query, do NOT combine): " + '- Substring search: "differ" (with quotes, finds lemmas with "differ" in name); ' + "- Constant lookup: Real.sin (no quotes, finds lemmas mentioning this constant); " + "- Type pattern: _ * (_ ^ _) (with underscores as wildcards); " + "- Conclusion pattern: |- tsum _ = _ * tsum _. " + "IMPORTANT: Do NOT mix patterns like '\"foo\" bar' - use one pattern type per query." + ), + }, + "max_results": { + "type": "integer", + "description": "Max number of search results to return.", + "default": 8, + "minimum": 1, + "maximum": 20, + }, + } + required = ["query"] + + def __init__(self, config: ToolConfig): + super().__init__() + self._config = config + self._default_max_results = max(1, config.get("max_results", 8)) + self._is_local = bool( + config.get("loogle_local") + or config.get("loogle_daemon_url") + or os.getenv("LEAN_LOOGLE_LOCAL", "").lower() == "true" + or os.getenv("LOOGLE_DAEMON_URL") + ) + async def execute(self, args: dict[str, Any], state: dict[str, Any], logger: logging.Logger) -> ToolOutput: + query = args.get("query", "") + if not query: + return ToolOutput(output=_json_error("Missing: query"), error="Missing: query") -def _json_error(message: str, **extra: Any) -> str: - return json.dumps({"error": message, **extra}) - - -def _tool_error(message: str) -> tuple[str, dict[str, Any]]: - return _json_error(message), {"error": message} - - -def _loogle_local_enabled(config: ToolConfig) -> bool: - return config.get("loogle_local", False) or os.getenv("LEAN_LOOGLE_LOCAL", "").lower() == "true" - - -def _prepare_stdio_command(config: ToolConfig, loogle_local: bool) -> list[str]: - command = resolve_stdio_command(config) - if loogle_local and "--loogle-local" not in command: - return [*command, "--loogle-local"] - return command - - -def _build_client_env(config: ToolConfig, loogle_local: bool) -> dict[str, str] | None: - env: dict[str, str] = {} - if project_path := config.get("project_path"): - env["LEAN_PROJECT_PATH"] = str(Path(project_path)) - if token := config.get("token"): - env["LEAN_LSP_MCP_TOKEN"] = token - if log_level := config.get("log_level"): - env["LEAN_LOG_LEVEL"] = str(log_level) - if loogle_local: - env["LEAN_LOOGLE_LOCAL"] = "true" - return env or None - - -def _normalize_timeout(timeout: Any, default: int = MAX_TIMEOUT) -> int: - """Parse timeout value safely and clamp to [1, MAX_TIMEOUT].""" - if timeout is None: - return default - - try: - parsed = int(float(timeout)) - except (TypeError, ValueError): - return default - - if parsed < 1: - return 1 - return min(parsed, MAX_TIMEOUT) - - -def _project_key(config: ToolConfig) -> str: - project_path = config.get("project_path") - if project_path: - return str(Path(project_path).expanduser().resolve()) - return str(Path.cwd()) - - -def _is_missing_olean_failure(result_text: str) -> bool: - text = result_text.lower() - return ( - "lake setup-file" in text - and "no such file or directory" in text - and ".olean" in text - and "mathlib" in text - ) - - -async def _run_bootstrap_command(command: list[str], cwd: str) -> tuple[bool, str]: - """Run a bootstrap command and capture output.""" - started_at = time.perf_counter() - process = await asyncio.create_subprocess_exec( - *command, - cwd=cwd, - stdout=asyncio.subprocess.PIPE, - stderr=asyncio.subprocess.PIPE, - ) - - try: - stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=BOOTSTRAP_TIMEOUT_SECONDS) - except TimeoutError: - process.kill() - await process.wait() - return False, f"timeout after {BOOTSTRAP_TIMEOUT_SECONDS}s running: {' '.join(command)}" - - elapsed_s = round(time.perf_counter() - started_at, 2) - combined = (stdout.decode(errors="replace") + "\n" + stderr.decode(errors="replace")).strip() - summary = f"cmd={' '.join(command)} exit={process.returncode} elapsed={elapsed_s}s" - if combined: - summary = f"{summary}\n{combined}" - - return process.returncode == 0, summary - - -async def _attempt_project_recovery(config: ToolConfig) -> tuple[bool, str, bool]: - """Attempt one-time Lean dependency bootstrap for a project.""" - key = _project_key(config) - lock = _project_recovery_locks.setdefault(key, asyncio.Lock()) - - async with lock: - if key in _project_recovery_succeeded: - return True, "recovery already completed for project", False - if key in _project_recovery_attempted: - return False, "recovery already attempted for project", False - - _project_recovery_attempted.add(key) - project_dir = Path(key) - if not project_dir.exists(): - return False, f"project path does not exist: {project_dir}", True - - try: - update_ok, update_output = await _run_bootstrap_command(["lake", "update"], cwd=key) - cache_ok, cache_output = await _run_bootstrap_command(["lake", "exe", "cache", "get"], cwd=key) - success = update_ok and cache_ok - details = f"lake update: {update_output}\nlake exe cache get: {cache_output}" - except Exception as exc: - return False, f"recovery command failed: {exc}", True - - if success: - _project_recovery_succeeded.add(key) - - return success, details, True - - -def _suppress_mcp_cleanup_errors(loop, context): - """Suppress MCP cancel scope errors during cleanup (non-blocking, cosmetic).""" - msg = context.get("message", "") - exc = context.get("exception") - text = f"{msg}\n{exc}".lower() - - if ( - "cancel scope" in text - or "future exception was never retrieved" in text - or "task exception was never retrieved" in text - or "unhandled errors in a taskgroup" in text - or ("the file worker for" in text and "has been terminated" in text) - or ("lsp error" in text and "terminated" in text) - ): - return - - previous_handler = _loop_exception_handlers.get(loop) - if previous_handler is not None and previous_handler is not _suppress_mcp_cleanup_errors: - previous_handler(loop, context) - else: - loop.default_exception_handler(context) - - -def _install_error_handler(): - """Install asyncio exception handler to suppress MCP cleanup noise.""" - try: - loop = asyncio.get_running_loop() - except RuntimeError: - pass - return - - current_handler = loop.get_exception_handler() - if current_handler is _suppress_mcp_cleanup_errors: - return - - _loop_exception_handlers[loop] = current_handler - loop.set_exception_handler(_suppress_mcp_cleanup_errors) - - -class StdioMCPClient: - """Async MCP client over stdio transport.""" - - def __init__(self, command: list[str], env: dict[str, str] | None = None) -> None: - if not command: - raise ValueError("Command list cannot be empty") - - self._command = command - if env: - merged_env = os.environ.copy() - merged_env.update(env) - self._env = merged_env - else: - self._env = None - self._session: ClientSession | None = None - self._read_stream: Any = None - self._write_stream: Any = None - self._process: Any = None - self._lock = asyncio.Lock() - self._closing = False - self._owner_task_id: int | None = None - - async def _ensure_session(self) -> None: - """Lazily initialize the MCP session (spawns subprocess on first call).""" - if self._session is not None: - return - - async with self._lock: - if self._session is not None: - return - - params = StdioServerParameters( - command=self._command[0], - args=self._command[1:], - env=self._env, - ) - - cm = stdio_client(params) - transport = await cm.__aenter__() - self._read_stream, self._write_stream = transport - self._process = cm - - session = ClientSession( - read_stream=self._read_stream, - write_stream=self._write_stream, - ) - await session.__aenter__() - await session.initialize() - self._session = session - task = asyncio.current_task() - self._owner_task_id = id(task) if task else 0 - - async def call_tool(self, name: str, arguments: dict[str, Any]) -> str: - """Call an MCP tool and return the result as a string.""" - try: - await self._ensure_session() - assert self._session is not None - - result = await self._session.call_tool(name=name, arguments=arguments) - - if result.isError: - return json.dumps( - { - "error": getattr(result, "message", "Unknown MCP error"), - "content": [c.model_dump() for c in getattr(result, "content", [])], - } - ) - - chunks = [] - for item in result.content: - text = getattr(item, "text", None) - if text is not None: - chunks.append(text) - else: - try: - chunks.append(json.dumps(item.model_dump())) - except Exception: - chunks.append(str(item)) - - return "\n".join(chunks) if chunks else "" - - except Exception as exc: - if "closed" in str(exc).lower() or "connection" in str(exc).lower(): - logger.warning(f"MCP connection error, invalidating session: {exc}") - self._session = None - else: - logger.exception("MCP call failed") - return json.dumps({"error": str(exc)}) - - async def aclose(self) -> None: - """Best-effort cleanup. Errors suppressed since cleanup may cross task boundaries.""" - if self._closing: - return - self._closing = True - - task = asyncio.current_task() - current_task_id = id(task) if task else 0 - if self._owner_task_id is not None and current_task_id != self._owner_task_id: - logger.debug( - "Closing MCP client from different task (owner=%s current=%s)", - self._owner_task_id, - current_task_id, - ) - - session = self._session - process = self._process - self._session = None - self._process = None - self._read_stream = None - self._write_stream = None - self._owner_task_id = None - + max_results = args.get("max_results", self._default_max_results) try: - await self._safe_aexit(session, "session") - await self._safe_aexit(process, "transport") - finally: - self._closing = False - - async def _safe_aexit(self, resource: Any, label: str, timeout_s: int = 5) -> None: - if resource is None: - return - aexit = getattr(resource, "__aexit__", None) - if not callable(aexit): - return - try: - await asyncio.wait_for(aexit(None, None, None), timeout=timeout_s) - except TimeoutError: - logger.warning("Timed out closing MCP %s", label) - except Exception as exc: - logger.debug("Error closing MCP %s: %s", label, exc) - - async def health_check(self) -> tuple[bool, str]: - """Test connectivity with a simple Lean command.""" - try: - result = await self.call_tool("lean_run_code", {"code": "#check Nat", "timeout": 30}) - if "error" in result.lower() and "unknown" not in result.lower(): - return False, f"Health check failed: {result[:200]}" - return True, "MCP server healthy" + result = await _execute_loogle_query(query, max_results, self._config) + result = _improve_loogle_error(result, query) except Exception as e: - return False, f"Connection failed: {e}" - - -async def _get_stdio_client(config: ToolConfig) -> StdioMCPClient: - """Get or create a stdio MCP client.""" - _install_error_handler() - - task_id = _current_task_id() + logger.exception("Loogle query failed") + return ToolOutput(output=_json_error(f"Loogle query failed: {e}"), error=str(e)) - if task_id in _task_clients: - client = _task_clients[task_id] - if client._session is not None: - return client - logger.debug(f"Removing stale MCP client for task {task_id}") - del _task_clients[task_id] + if not self._is_local: + logger.debug("Rate limiting: sleeping 15s (remote loogle)") + await asyncio.sleep(15) - loogle_local = _loogle_local_enabled(config) - command = _prepare_stdio_command(config, loogle_local) - env = _build_client_env(config, loogle_local) - - for attempt in range(MCP_INIT_ATTEMPTS): - client = StdioMCPClient(command=list(command), env=env) try: - await client._ensure_session() - _task_clients[task_id] = client - return client - except Exception as e: - await client.aclose() - if attempt == MCP_INIT_ATTEMPTS - 1: - raise - logger.warning(f"MCP init failed (attempt {attempt + 1}): {e}") - await asyncio.sleep(2**attempt) + error = json.loads(result).get("error") + except (json.JSONDecodeError, AttributeError): + error = None - raise RuntimeError("MCP client init failed") + return ToolOutput(output=result, error=error) -async def _close_cached_client(task_id: int, client: StdioMCPClient) -> None: - try: - await asyncio.wait_for(client.aclose(), timeout=8) - except TimeoutError: - logger.warning(f"Timed out closing MCP client {task_id}") - except Exception as e: - logger.debug(f"Error closing MCP client {task_id}: {e}") +class RunCodeTool(Tool): + """Lean code execution tool for model_library Agent.""" + name = "lean_run_code" + description = ( + "Execute Lean code and return compilation results with feedback. " + "Use to check if proofs compile and get errors/warnings on partial attempts." + ) + parameters = { + "code": { + "type": "string", + "description": "Complete Lean code including imports, definitions, and proof.", + }, + "timeout": { + "type": "number", + "description": "Timeout in seconds (cannot be more than 90 seconds).", + "maximum": 90, + }, + } + required = ["code"] -async def cleanup_mcp_client(task_id: int | None = None) -> None: - """Close the MCP client for one task.""" - _install_error_handler() - - if task_id is None: - task_id = _current_task_id() + def __init__(self, config: ToolConfig): + super().__init__() + self._config = config - client = _task_clients.pop(task_id, None) - if client is None: - return + async def execute(self, args: dict[str, Any], state: dict[str, Any], logger: logging.Logger) -> ToolOutput: + code = args.get("code", "") + if not code: + return ToolOutput(output=_json_error("Missing: code"), error="Missing: code") - logger.info(f"Cleaning up MCP client for task {task_id}") - await _close_cached_client(task_id, client) + timeout = _normalize_timeout(args.get("timeout", MAX_TIMEOUT)) + try: + result = await run_lean_code(code, timeout, self._config) + except Exception as e: + logger.exception("Run code failed") + return ToolOutput(output=_json_error(f"Run code failed: {e}"), error=str(e)) + return ToolOutput(output=result) -async def cleanup_current_task_mcp_client() -> None: - """Close the MCP client for the current task.""" - await cleanup_mcp_client() +class SubmitProofTool(Tool): + """Proof submission and verification tool for model_library Agent.""" -async def cleanup_mcp_clients() -> None: - """Close all cached MCP clients and their subprocesses.""" - global _task_clients - _install_error_handler() + name = "submit_proof" + description = ( + "Submit your final Lean proof for verification. " + "IMPORTANT: You MUST call this tool to have your proof graded. " + "Work that is not submitted will NOT be evaluated. " + "You cannot continue working after calling this tool." + ) + parameters = { + "proof": { + "type": "string", + "description": "Lean proof starting with `by`.", + }, + } + required = ["proof"] - if not _task_clients: - return + def __init__(self, run_code_config: ToolConfig | None, problem_context: dict[str, str]): + super().__init__() + self._run_code_config = run_code_config + self._problem_context = problem_context - logger.info(f"Cleaning up {len(_task_clients)} MCP client(s)") + async def execute(self, args: dict[str, Any], state: dict[str, Any], logger: logging.Logger) -> ToolOutput: + proof = args.get("proof") + if not proof: + return ToolOutput(output=_json_error("Missing: proof"), error="Missing: proof") - clients = list(_task_clients.items()) - _task_clients.clear() + proof = str(proof) + is_valid, verify_msg = await self._verify(proof, logger) - for task_id, client in clients: - await _close_cached_client(task_id, client) - logger.info("MCP client cleanup complete") + state["proof_text"] = proof + state["verified"] = is_valid + state["verify_message"] = verify_msg + return ToolOutput(output=verify_msg, done=True, error=None if is_valid else verify_msg) -async def check_mcp_server(config: ToolConfig | None = None) -> tuple[bool, str]: - """Verify MCP server is running and responsive.""" - if config is None: - config = {"transport": "stdio", "loogle_local": True} + async def _verify(self, proof: str, logger: logging.Logger) -> tuple[bool, str]: + """Verify a submitted proof by running it through Lean.""" + if not self._run_code_config: + return True, "Verification skipped (no run_code_config)" - try: - client = await _get_stdio_client(config) - return await client.health_check() - except Exception as e: - return False, f"Failed to connect: {e}" + header = self._problem_context.get("header", "") + formal = self._problem_context.get("formal", "") + if not formal: + return True, "Verification skipped (no formal statement)" + formal_clean = formal + if ":=" in formal_clean: + formal_clean = formal_clean.split(":=")[0].strip() + " :=" -async def _query_loogle_daemon(url: str, query: str, max_results: int) -> str: - """Query the shared loogle daemon via HTTP.""" - import urllib.error - import urllib.request + if "sorry" in proof.lower(): + return False, "Proof contains 'sorry' - incomplete proof" - def _do_request() -> str: - body = json.dumps({"query": query, "max_results": max_results}).encode() - req = urllib.request.Request( - f"{url.rstrip('/')}/query", - data=body, - headers={"Content-Type": "application/json"}, - method="POST", - ) + full_code = f"{header}\n\n{formal_clean}\n{proof}" try: - with urllib.request.urlopen(req, timeout=35) as resp: - return resp.read().decode() - except urllib.error.URLError as e: - if "Connection refused" in str(e): - raise ConnectionError( - f"Daemon not running at {url}. Start with: python -m proof_bench.loogle_daemon" - ) from e - raise - - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, _do_request) - - -def _improve_loogle_error(result: str, query: str) -> str: - """Add helpful hints to loogle error messages about query syntax.""" - try: - data = json.loads(result) - if "error" not in data: - return result - - error = data["error"] - hints = [] - - if "Function expected" in error and "String" in error: - hints.append( - "HINT: You're mixing query patterns. Use ONLY ONE pattern per query: " - 'either "substring" (quoted) OR ConstantName (unquoted), not both.' - ) - if "unexpected end of input" in error.lower(): - hints.append("HINT: Query has unbalanced brackets/parens. Simplify/fix your query.") - if "Unknown identifier" in error or "unknown identifier" in error: - if not query.startswith('"'): - hints.append( - f"HINT: '{query.split()[0]}' not found as a constant. Try substring search with quotes: \"keyword\"" - ) - - if hints: - data["hints"] = hints - return json.dumps(data) - except (json.JSONDecodeError, KeyError): - pass - return result - - -def _parse_args(tool_call: ToolCall) -> Any: - """Parse tool call arguments (handles both dict and JSON string).""" - args = tool_call.args - if isinstance(args, dict): - return args - try: - return json.loads(args) - except (json.JSONDecodeError, TypeError) as e: - raise ValueError(f"Invalid arguments: {e}") from e - - -async def _execute_loogle_query(query: str, max_results: int, config: ToolConfig) -> tuple[str, str]: - daemon_url = config.get("loogle_daemon_url") or os.getenv("LOOGLE_DAEMON_URL") - if daemon_url: - try: - result = await _query_loogle_daemon(daemon_url, query, max_results) + result_text = await run_lean_code(full_code, timeout=90, config=self._run_code_config) except Exception as e: - result = _json_error(f"Daemon query failed: {e}") - return result, "daemon" - - client = await _get_stdio_client(config) - result = await client.call_tool("lean_loogle", {"query": query, "max_results": max_results}) - return result, "mcp" - - -def create_loogle_tool(config: ToolConfig) -> ToolDefinition: - """Create tool definition for Loogle lemma search.""" - max_results = max(1, config.get("max_results", 8)) - - body = ToolBody( - name="lean_loogle", - description=( - "Search Mathlib for lemmas. Use sparingly, only when you need " - "a specific lemma or to check if a definition/result exists." - ), - properties={ - "query": { - "type": "string", - "description": ( - "Query patterns (use ONLY ONE pattern per query, do NOT combine): " - '- Substring search: "differ" (with quotes, finds lemmas with "differ" in name); ' - "- Constant lookup: Real.sin (no quotes, finds lemmas mentioning this constant); " - "- Type pattern: _ * (_ ^ _) (with underscores as wildcards); " - "- Conclusion pattern: |- tsum _ = _ * tsum _. " - "IMPORTANT: Do NOT mix patterns like '\"foo\" bar' - use one pattern type per query." - ), - }, - "max_results": { - "type": "integer", - "description": "Max number of search results to return.", - "default": max_results, - "minimum": 1, - "maximum": 20, - }, - }, - required=["query"], - ) - return ToolDefinition(name="lean_loogle", body=body) - - -async def execute_loogle_tool(tool_call: ToolCall, config: ToolConfig) -> tuple[str, dict[str, Any]]: - """Execute lean_loogle tool call.""" - log_details: dict[str, Any] = {} - - try: - args = _parse_args(tool_call) - except ValueError as e: - return _tool_error(str(e)) - - query = args.get("query", "") - if not query: - return _tool_error("Missing: query") - - max_results = args.get("max_results", config.get("max_results", 8)) - log_details["arguments"] = {"query": query, "max_results": max_results} - result, source = await _execute_loogle_query(query, max_results, config) - log_details["source"] = source - - result = _improve_loogle_error(result, query) - log_details["result_excerpt"] = result[:RESULT_EXCERPT_LENGTH] - return result, log_details - - -def create_run_code_tool(config: ToolConfig) -> ToolDefinition: - """Create tool definition for running Lean code.""" - _ = config - - body = ToolBody( - name="lean_run_code", - description=( - "Execute Lean code and return compilation results with feedback. " - "Use to check if proofs compile and get errors/warnings on partial attempts." - ), - properties={ - "code": { - "type": "string", - "description": "Complete Lean code including imports, definitions, and proof.", - }, - "timeout": { - "type": "number", - "description": "Timeout in seconds (cannot be more than 90 seconds).", - "maximum": 90, - }, - }, - required=["code"], - ) - return ToolDefinition(name="lean_run_code", body=body) - - -async def run_lean_code(code: str, timeout: int, config: ToolConfig) -> tuple[str, dict[str, Any]]: - """Run Lean code via MCP. Used by both tool execution and proof verification.""" - timeout = _normalize_timeout(timeout) - log_details: dict[str, Any] = {"timeout": timeout, "code_excerpt": code[:200]} - - client = await _get_stdio_client(config) - result = await client.call_tool("lean_run_code", {"code": code, "timeout": timeout}) - - if _is_missing_olean_failure(result): - recovered, recovery_details, attempted = await _attempt_project_recovery(config) - log_details["recovery_attempted"] = attempted - log_details["recovery_succeeded"] = recovered - log_details["recovery_details_excerpt"] = recovery_details[:RESULT_EXCERPT_LENGTH] - if recovered: - result = await client.call_tool("lean_run_code", {"code": code, "timeout": timeout}) - log_details["retried_after_recovery"] = True - - if "sorry" in code.lower(): - result += "\n\n⚠️ WARNING: Code contains 'sorry'. This is not a complete proof." - - log_details["result_excerpt"] = result[:RESULT_EXCERPT_LENGTH] - return result, log_details - - -async def execute_run_code_tool(tool_call: ToolCall, config: ToolConfig) -> tuple[str, dict[str, Any]]: - """Execute lean_run_code tool call.""" - try: - args = _parse_args(tool_call) - except ValueError as e: - return _tool_error(str(e)) - - code = args.get("code", "") - if not code: - return _tool_error("Missing: code") - - timeout = _normalize_timeout(args.get("timeout", MAX_TIMEOUT)) - return await run_lean_code(code, timeout, config) - - -def create_submission_tool() -> ToolDefinition: - """Create tool definition for submitting a proof.""" - body = ToolBody( - name="submit_proof", - description=( - "Submit your final Lean proof for verification. " - "IMPORTANT: You MUST call this tool to have your proof graded. " - "Work that is not submitted will NOT be evaluated. " - "You cannot continue working after calling this tool." - ), - properties={ - "proof": { - "type": "string", - "description": "Lean proof starting with `by`.", - }, - }, - required=["proof"], - ) - return ToolDefinition(name="submit_proof", body=body) - - -def extract_submission(tool_call: ToolCall) -> tuple[str, dict[str, Any]]: - """Extract the submitted proof from a submit_proof tool call.""" - log_details: dict[str, Any] = {} - - try: - args = _parse_args(tool_call) - except ValueError as e: - log_details["error"] = str(e) - return _json_error(str(e)), log_details - - proof = args.get("proof") if isinstance(args, dict) else args if isinstance(args, str) else None + logger.exception("Verification failed") + return False, f"Verification error: {e}" - if not proof: - log_details["error"] = "Missing: proof" - return _json_error("Missing: proof"), log_details + result_lower = result_text.lower() + if "error" in result_lower: + return False, f"Lean error: {result_text[:500]}" + if "unsolved goals" in result_lower: + return False, f"Proof incomplete: {result_text[:500]}" - log_details["submitted"] = True - log_details["proof_excerpt"] = str(proof)[:RESULT_EXCERPT_LENGTH] - return str(proof), log_details + return True, "Proof verified successfully" diff --git a/proof_bench/utils.py b/proof_bench/utils.py index f53cd69..c3d6253 100644 --- a/proof_bench/utils.py +++ b/proof_bench/utils.py @@ -20,7 +20,7 @@ def _strip_response_and_format_proof(text: str) -> str | None: text = generic_match.group(1) text = text.strip() - by_match = re.search(r"(?:(?<=\s)by(?=\s|$)|^by(?=\s|$))", text, flags=re.IGNORECASE) + by_match = re.search(r"(?:(?<=\s)by(?=\s|$)|^by(?=\s|$))", text) if by_match: text = text[by_match.start() :] @@ -49,7 +49,14 @@ def _strip_leading_empty_lines(lines: list[str]) -> list[str]: def _detect_commented_lines(lines: list[str]) -> list[bool]: - """Check which lines are inside Lean comment blocks (/- ... -/).""" + """Check which lines are inside Lean comment blocks (/- ... -/). + + Limitation: only detects /- that starts a line (after stripping). Mid-line + block comment openings are silently ignored, so multi-line comments that + begin in the middle of a line will not be stripped. Closing lines (-/) are + also marked as commented, so any code after -/ on the same line is lost. + Both are acceptable given Lean headers always place /- at line starts. + """ in_comment = False result = [] diff --git a/pyproject.toml b/pyproject.toml index a5d83e0..2665f7f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,21 +4,14 @@ version = "0.1.0" requires-python = ">=3.11" dependencies = [ "mcp>=1.21.2", - "pytest", - "requests", - "ruff", + "model-library==0.1.20", + "python-dotenv>=1.0", ] -[project.optional-dependencies] -llm = [ - "anthropic", - "datasets", - "openai", - "protobuf>=6.0", - "model-library", -] +[dependency-groups] dev = [ - "pre-commit", + "pytest", + "ruff", ] [build-system] diff --git a/tests/test_tools.py b/tests/test_tools.py index 7b2ae1a..8a64379 100644 --- a/tests/test_tools.py +++ b/tests/test_tools.py @@ -1,7 +1,6 @@ """Tests for tool definitions and execution logic.""" import asyncio -import json import shutil import pytest @@ -13,203 +12,10 @@ ToolConfig = tools_module.ToolConfig cleanup_mcp_client = tools_module.cleanup_mcp_client cleanup_mcp_clients = tools_module.cleanup_mcp_clients -create_loogle_tool = tools_module.create_loogle_tool -create_run_code_tool = tools_module.create_run_code_tool -create_submission_tool = tools_module.create_submission_tool -execute_loogle_tool = tools_module.execute_loogle_tool -execute_run_code_tool = tools_module.execute_run_code_tool -extract_submission = tools_module.extract_submission HAS_LEAN_LSP_MCP = shutil.which("uvx") is not None -class MockToolCall: - """Mock ToolCall for testing.""" - - def __init__(self, name: str, args: dict | str): - self.id = "test-call-id" - self.name = name - self.args = args - - -def _parse_error(result: str, log: dict) -> str: - parsed = json.loads(result) - assert "error" in parsed - assert "error" in log - return parsed["error"] - - -@pytest.mark.parametrize( - ("factory", "config", "expected_name", "required"), - [ - (create_loogle_tool, {}, "lean_loogle", "query"), - (create_run_code_tool, {}, "lean_run_code", "code"), - ], -) -def test_tool_definitions_have_expected_name_and_required_fields(factory, config, expected_name, required): - tool = factory(config) - assert tool.name == expected_name - assert required in tool.body.required - - -def test_loogle_tool_respects_max_results_config(): - assert create_loogle_tool({"max_results": 15}).body.properties["max_results"]["default"] == 15 - - -@pytest.mark.parametrize(("configured", "expected"), [(None, 8), (0, 1)]) -def test_loogle_tool_clamps_max_results_default(configured, expected): - config: ToolConfig = {} if configured is None else {"max_results": configured} - assert create_loogle_tool(config).body.properties["max_results"]["default"] == expected - - -def test_run_code_tool_timeout_is_optional(): - tool = create_run_code_tool({}) - assert "timeout" not in tool.body.required - assert "timeout" in tool.body.properties - - -def test_submission_tool_requires_proof_and_mentions_verification(): - tool = create_submission_tool() - assert tool.name == "submit_proof" - assert "proof" in tool.body.required - assert "verification" in tool.body.description.lower() - - -@pytest.mark.parametrize( - ("args", "expected"), - [ - ({"proof": "by simp"}, "by simp"), - (json.dumps({"proof": "by ring"}), "by ring"), - ], -) -def test_extract_submission_accepts_dict_or_json_string(args, expected): - result, log = extract_submission(MockToolCall("submit_proof", args)) - assert result == expected - assert log["submitted"] is True - - -def test_extract_submission_logs_proof_excerpt(): - long_proof = "by\n" + " simp\n" * 100 - _, log = extract_submission(MockToolCall("submit_proof", {"proof": long_proof})) - assert len(log["proof_excerpt"]) <= 400 - - -@pytest.mark.parametrize( - ("args", "expected_message"), - [ - ({}, "Missing: proof"), - ("not valid json {{{", "Invalid arguments"), - ], -) -def test_extract_submission_returns_errors(args, expected_message): - result, log = extract_submission(MockToolCall("submit_proof", args)) - assert expected_message in log["error"] - assert "error" in json.loads(result) - - -@pytest.mark.parametrize( - ("args", "expected_fragment"), - [ - ({"max_results": 5}, "query"), - ({"query": ""}, "missing: query"), - ("{{invalid json", "invalid arguments"), - ], -) -def test_execute_loogle_tool_returns_validation_errors(args, expected_fragment): - result, log = asyncio.run(execute_loogle_tool(MockToolCall("lean_loogle", args), {"transport": "stdio"})) - assert expected_fragment in _parse_error(result, log).lower() - - -def test_execute_loogle_tool_logs_query_arguments(monkeypatch): - async def fake_execute_loogle_query(query, max_results, config): - assert query == "Nat.add_comm" - assert max_results == 8 - assert config == {"transport": "stdio"} - return "lemma results", "mcp" - - monkeypatch.setattr(tools_module, "_execute_loogle_query", fake_execute_loogle_query) - result, log = asyncio.run( - execute_loogle_tool(MockToolCall("lean_loogle", {"query": "Nat.add_comm"}), {"transport": "stdio"}) - ) - - assert result == "lemma results" - assert log["arguments"] == {"query": "Nat.add_comm", "max_results": 8} - assert log["source"] == "mcp" - assert log["result_excerpt"] == "lemma results" - - -@pytest.mark.parametrize( - ("args", "expected_fragment"), - [ - ({"timeout": 30}, "code"), - ({"code": ""}, "missing: code"), - ("not json", "invalid arguments"), - ], -) -def test_execute_run_code_tool_returns_validation_errors(args, expected_fragment): - result, log = asyncio.run(execute_run_code_tool(MockToolCall("lean_run_code", args), {})) - assert expected_fragment in _parse_error(result, log).lower() - - -def test_execute_run_code_tool_uses_default_timeout(monkeypatch): - captured: dict = {} - - async def fake_run_lean_code(code, timeout, config): - captured.update({"code": code, "timeout": timeout, "config": config}) - return "ok", {"timeout": timeout} - - monkeypatch.setattr(tools_module, "run_lean_code", fake_run_lean_code) - - result, log = asyncio.run(execute_run_code_tool(MockToolCall("lean_run_code", {"code": "#check Nat"}), {"transport": "stdio"})) - - assert result == "ok" - assert log["timeout"] == tools_module.MAX_TIMEOUT - assert captured == { - "code": "#check Nat", - "timeout": tools_module.MAX_TIMEOUT, - "config": {"transport": "stdio"}, - } - - -def test_run_lean_code_logs_code_excerpt(monkeypatch): - class DummyClient: - async def call_tool(self, name, arguments): - assert name == "lean_run_code" - assert arguments["timeout"] == 30 - return "ok" - - async def fake_get_client(config): - assert config == {"transport": "stdio"} - return DummyClient() - - monkeypatch.setattr(tools_module, "_get_stdio_client", fake_get_client) - - code = "import Mathlib\n" * 50 - result, log = asyncio.run(tools_module.run_lean_code(code, 30, {"transport": "stdio"})) - - assert result == "ok" - assert log["timeout"] == 30 - assert log["code_excerpt"] == code[:200] - assert log["result_excerpt"] == "ok" - - -def test_run_lean_code_appends_sorry_warning(monkeypatch): - class DummyClient: - async def call_tool(self, name, arguments): - assert name == "lean_run_code" - return "ok" - - async def fake_get_client(config): - return DummyClient() - - monkeypatch.setattr(tools_module, "_get_stdio_client", fake_get_client) - - result, log = asyncio.run(tools_module.run_lean_code("theorem t : True := by sorry", 30, {"transport": "stdio"})) - - assert "WARNING: Code contains 'sorry'" in result - assert "sorry" in log["code_excerpt"].lower() - - class _MockClosableClient: def __init__(self): self.close_count = 0 @@ -299,13 +105,10 @@ async def fake_recovery(config): monkeypatch.setattr(tools_module, "_get_stdio_client", fake_get_client) monkeypatch.setattr(tools_module, "_attempt_project_recovery", fake_recovery) - result, log = asyncio.run(tools_module.run_lean_code("theorem t : True := by trivial", 30, {"transport": "stdio"})) + result = asyncio.run(tools_module.run_lean_code("theorem t : True := by trivial", 30, {"transport": "stdio"})) assert result == "ok" assert client.calls == 2 - assert log["recovery_attempted"] is True - assert log["recovery_succeeded"] is True - assert log["retried_after_recovery"] is True def test_run_lean_code_skips_retry_when_recovery_fails(self, monkeypatch): class DummyClient: @@ -327,20 +130,47 @@ async def fake_recovery(config): monkeypatch.setattr(tools_module, "_get_stdio_client", fake_get_client) monkeypatch.setattr(tools_module, "_attempt_project_recovery", fake_recovery) - result, log = asyncio.run(tools_module.run_lean_code("theorem t : True := by trivial", 30, {"transport": "stdio"})) + result = asyncio.run(tools_module.run_lean_code("theorem t : True := by trivial", 30, {"transport": "stdio"})) assert "lake setup-file failed" in result assert client.calls == 1 - assert log["recovery_attempted"] is True - assert log["recovery_succeeded"] is False - assert "retried_after_recovery" not in log + + +def test_run_lean_code_returns_result(monkeypatch): + class DummyClient: + async def call_tool(self, name, arguments): + assert name == "lean_run_code" + assert arguments["timeout"] == 30 + return "ok" + + async def fake_get_client(config): + return DummyClient() + + monkeypatch.setattr(tools_module, "_get_stdio_client", fake_get_client) + + result = asyncio.run(tools_module.run_lean_code("import Mathlib", 30, {"transport": "stdio"})) + assert result == "ok" + + +def test_run_lean_code_appends_sorry_warning(monkeypatch): + class DummyClient: + async def call_tool(self, name, arguments): + return "ok" + + async def fake_get_client(config): + return DummyClient() + + monkeypatch.setattr(tools_module, "_get_stdio_client", fake_get_client) + + result = asyncio.run(tools_module.run_lean_code("theorem t : True := by sorry", 30, {"transport": "stdio"})) + assert "WARNING: Code contains 'sorry'" in result def make_mcp_config() -> ToolConfig: """Create a fresh ToolConfig for each test.""" return { "transport": "stdio", - "loogle_local": False, # Use remote API (local requires compatible oleans) + "loogle_local": False, "project_path": "/home/ec2-user/proof-bench", } @@ -350,38 +180,29 @@ class TestRunCodeIntegration: """Integration tests for lean_run_code (requires lean-lsp-mcp).""" def test_valid_theorem_with_proof(self): - """A valid theorem with proof should pass.""" config = make_mcp_config() code = "theorem test_trivial : 1 + 1 = 2 := by rfl" - tool_call = MockToolCall("lean_run_code", {"code": code, "timeout": 30}) - result, _ = asyncio.run(execute_run_code_tool(tool_call, config)) + result = asyncio.run(tools_module.run_lean_code(code, 30, config)) assert "sorry" not in result.lower() def test_invalid_code_returns_error(self): - """Invalid Lean code should return an error message.""" config = make_mcp_config() code = "theorem bad : False := by trivial" - tool_call = MockToolCall("lean_run_code", {"code": code, "timeout": 30}) - result, _ = asyncio.run(execute_run_code_tool(tool_call, config)) + result = asyncio.run(tools_module.run_lean_code(code, 30, config)) result_lower = result.lower() assert "error" in result_lower or "failed" in result_lower or "unsolved" in result_lower @pytest.mark.skipif(not HAS_LEAN_LSP_MCP, reason="lean-lsp-mcp not available") class TestLoogleIntegration: - """Integration tests for lean_loogle (requires lean-lsp-mcp with local loogle).""" + """Integration tests for lean_loogle (requires lean-lsp-mcp).""" def test_search_by_name_returns_results(self): - """Search for a known lemma should return results.""" config = make_mcp_config() - tool_call = MockToolCall("lean_loogle", {"query": "Nat.add_comm", "max_results": 3}) - result, log = asyncio.run(execute_loogle_tool(tool_call, config)) + result = asyncio.run(tools_module._execute_loogle_query("Nat.add_comm", 3, config)) assert len(result) > 10 - assert "error" not in log or log.get("result_excerpt") def test_search_by_substring(self): - """Search by substring pattern should work.""" config = make_mcp_config() - tool_call = MockToolCall("lean_loogle", {"query": '"add_comm"', "max_results": 5}) - result, _ = asyncio.run(execute_loogle_tool(tool_call, config)) + result = asyncio.run(tools_module._execute_loogle_query('"add_comm"', 5, config)) assert len(result) > 0 diff --git a/uv.lock b/uv.lock index 99de4f5..b8f3d1d 100644 --- a/uv.lock +++ b/uv.lock @@ -3,8 +3,7 @@ revision = 3 requires-python = ">=3.11" resolution-markers = [ "python_full_version >= '3.13'", - "python_full_version == '3.12.*'", - "python_full_version < '3.12'", + "python_full_version < '3.13'", ] [[package]] @@ -33,7 +32,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.13.2" +version = "3.13.3" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -44,93 +43,93 @@ dependencies = [ { name = "propcache" }, { name = "yarl" }, ] 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