diff --git a/app.py b/app.py index 05dac4d..6de626a 100644 --- a/app.py +++ b/app.py @@ -6,9 +6,9 @@ import logging import sys +from agent_core import OpenAIAgent from agents import enable_verbose_stdout_logging -from bot.agents import OpenAIAgent from bot.auth import add_group from bot.auth import allow_user from bot.auth import confirm_pairing diff --git a/bot/agents.py b/bot/agents.py deleted file mode 100644 index af0d691..0000000 --- a/bot/agents.py +++ /dev/null @@ -1,292 +0,0 @@ -from __future__ import annotations - -import asyncio -import logging -import os -from pathlib import Path -from typing import Any - -from agents import Agent -from agents import Runner -from agents import ShellCommandRequest -from agents import ShellTool -from agents import ShellToolLocalEnvironment -from agents import ShellToolLocalSkill -from agents import TResponseInputItem -from agents.mcp import MCPServerStdio -from agents.mcp import MCPServerStreamableHttp -from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel -from agents.models.openai_responses import OpenAIResponsesModel -from agents.tracing import set_tracing_disabled -from openai import AsyncOpenAI - -from .config import env_flag - -INSTRUCTIONS_FILE = Path("instructions.md") - -MAX_TURNS = 10 -MCP_SESSION_TIMEOUT_SECONDS = 30.0 -SHELL_TIMEOUT = 30.0 - -set_tracing_disabled(True) - - -def _load_instructions() -> str: - """Load agent instructions from ``instructions.md`` in the working directory. - - Fails fast with a clear error if the file is missing, so misconfiguration - is caught immediately at startup. - """ - try: - return INSTRUCTIONS_FILE.read_text(encoding="utf-8") - except FileNotFoundError as e: - raise FileNotFoundError( - f"Instructions file not found: {INSTRUCTIONS_FILE.resolve()}. " - "Create or mount instructions.md with the agent system prompt." - ) from e - - -def _get_model() -> OpenAIResponsesModel | OpenAIChatCompletionsModel: - """Create an OpenAI model from environment variables. - - Uses the standard OpenAI client, which works with both OpenAI and - Azure OpenAI v1 API (via OPENAI_BASE_URL + OPENAI_API_KEY). - - OPENAI_API_TYPE controls which API the model uses: - - "responses" (default): OpenAI Responses API — recommended by the SDK - - "chat_completions": Chat Completions API - """ - model_name = os.getenv("OPENAI_MODEL", "gpt-5.4") - api_type = os.getenv("OPENAI_API_TYPE", "responses") - client = AsyncOpenAI() - - if api_type == "chat_completions": - return OpenAIChatCompletionsModel(model=model_name, openai_client=client) - return OpenAIResponsesModel(model=model_name, openai_client=client) - - -def _parse_skill_description(content: str) -> str: - """Return the description field from a SKILL.md YAML frontmatter, or "".""" - if not content.startswith("---"): - return "" - end = content.find("\n---", 3) - if end == -1: - return "" - for line in content[3:end].splitlines(): - if line.startswith("description:"): - value = line[len("description:") :].strip() - if len(value) >= 2 and value[0] == value[-1] and value[0] in ('"', "'"): - value = value[1:-1] - return value - return "" - - -def _load_shell_skills(skills_dir: Path) -> list[ShellToolLocalSkill]: - """Discover local shell skills under ``skills_dir``. - - Each immediate subdirectory containing a ``SKILL.md`` file is mounted as a - ``ShellToolLocalSkill``. The skill name is the directory name; the - description is read from the ``SKILL.md`` YAML frontmatter. - """ - if not skills_dir.is_dir(): - return [] - skills: list[ShellToolLocalSkill] = [] - for skill_dir in sorted(skills_dir.iterdir()): - skill_md = skill_dir / "SKILL.md" - if not skill_dir.is_dir() or not skill_md.is_file(): - continue - try: - content = skill_md.read_text(encoding="utf-8") - except (OSError, UnicodeDecodeError): - logging.warning("Skipping unreadable skill file: %s", skill_md, exc_info=True) - continue - skills.append( - ShellToolLocalSkill( - name=skill_dir.name, - description=_parse_skill_description(content), - path=str(skill_dir), - ) - ) - return skills - - -def _get_shell_environment() -> ShellToolLocalEnvironment | None: - """Return the configured local shell environment, if enabled. - - Controlled by two independent environment variables: - - * ``SHELL_ENABLED`` — when truthy, the ``ShellTool`` is attached to the agent. - * ``SHELL_SKILLS_DIR`` — optional path; when set, skills discovered under it - are mounted alongside the shell. Ignored if ``SHELL_ENABLED`` is not set. - """ - skills_dir_env = os.getenv("SHELL_SKILLS_DIR") - if not env_flag("SHELL_ENABLED"): - if skills_dir_env: - logging.warning( - "SHELL_SKILLS_DIR=%r is set but SHELL_ENABLED is not; ignoring skills dir.", - skills_dir_env, - ) - return None - - environment: ShellToolLocalEnvironment = {"type": "local"} - if skills_dir_env: - skills = _load_shell_skills(Path(skills_dir_env)) - if skills: - environment["skills"] = skills - else: - logging.warning( - "SHELL_SKILLS_DIR=%r yielded no skills; attaching bare local shell.", - skills_dir_env, - ) - return environment - - -async def _shell_executor(request: ShellCommandRequest) -> str: - """Run each shell command from the request and return combined output. - - Honours action.timeout_ms when set, otherwise falls back to SHELL_TIMEOUT. - stderr is merged into stdout for simplicity. - """ - action = request.data.action - timeout = (action.timeout_ms / 1000.0) if action.timeout_ms is not None else SHELL_TIMEOUT - - outputs: list[str] = [] - for command in action.commands: - try: - proc = await asyncio.create_subprocess_shell( - command, - stdout=asyncio.subprocess.PIPE, - stderr=asyncio.subprocess.STDOUT, - ) - except OSError as e: - outputs.append(f"Failed to run command: {command}: {e}") - break - try: - stdout, _ = await asyncio.wait_for(proc.communicate(), timeout=timeout) - output = stdout.decode("utf-8", errors="replace") - if proc.returncode: - output += f"\n[exit code: {proc.returncode}]" - outputs.append(output) - except TimeoutError: - proc.kill() - await proc.communicate() - outputs.append(f"Command timed out after {timeout}s: {command}") - break - return "\n".join(outputs) - - -class OpenAIAgent: - """A wrapper for OpenAI Agent with MCP server and local shell skill support.""" - - def __init__( - self, - name: str, - instructions: str, - mcp_servers: list | None = None, - tools: list | None = None, - ) -> None: - self.agent = Agent( - name=name, - instructions=instructions, - model=_get_model(), - mcp_servers=(mcp_servers if mcp_servers is not None else []), - tools=(tools if tools is not None else []), - ) - self.name = name - self._conversations: dict[int, list[TResponseInputItem]] = {} - self._locks: dict[int, asyncio.Lock] = {} - - def get_messages(self, chat_id: int) -> list[TResponseInputItem]: - return self._conversations.get(chat_id, []) - - def set_messages(self, chat_id: int, messages: list[TResponseInputItem]) -> None: - self._conversations[chat_id] = messages - - def append_user_message(self, chat_id: int, message: str) -> None: - if chat_id not in self._conversations: - self._conversations[chat_id] = [] - self._conversations[chat_id].append({"role": "user", "content": message}) - - def truncate_history(self, chat_id: int) -> None: - """Keep only the last MAX_TURNS turns of conversation history. - - A turn starts at each user message. All messages between two user - messages (assistant replies, tool calls, tool results) belong to - the preceding turn. - """ - msgs = self.get_messages(chat_id) - user_indices = [i for i, m in enumerate(msgs) if m.get("role") == "user"] - if len(user_indices) <= MAX_TURNS: - return - cut = user_indices[-MAX_TURNS] - self._conversations[chat_id] = msgs[cut:] - - @classmethod - def from_dict(cls, name: str, config: dict[str, Any]) -> OpenAIAgent: - mcp_servers: list[MCPServerStreamableHttp | MCPServerStdio] = [] - for mcp_srv in config.get("mcpServers", {}).values(): - if "url" in mcp_srv: - mcp_servers.append( - MCPServerStreamableHttp( - client_session_timeout_seconds=MCP_SESSION_TIMEOUT_SECONDS, - params={ - "url": mcp_srv["url"], - "headers": mcp_srv.get("headers", {}), - }, - ) - ) - else: - mcp_servers.append( - MCPServerStdio( - client_session_timeout_seconds=MCP_SESSION_TIMEOUT_SECONDS, - params={ - "command": mcp_srv["command"], - "args": mcp_srv.get("args", []), - "env": mcp_srv.get("env"), - }, - ) - ) - tools: list[Any] = [] - environment = _get_shell_environment() - if environment is not None: - tools.append(ShellTool(executor=_shell_executor, environment=environment)) - - instructions = _load_instructions() - return cls(name, instructions=instructions, mcp_servers=mcp_servers, tools=tools) - - async def connect(self) -> None: - for mcp_server in self.agent.mcp_servers: - try: - await mcp_server.connect() - logging.info(f"Server {mcp_server.name} connected") - except Exception: - logging.warning( - f"MCP server {mcp_server.name} failed to connect — bot will run without its tools", exc_info=True - ) - - async def run(self, chat_id: int, message: str) -> str: - """Run a workflow starting at the given agent. - - A per-chat async lock ensures that when two messages arrive for the - same chat in quick succession, they are processed sequentially. - Without the lock, the second ``await Runner.run`` could start before - the first one finishes, and whichever completes last would overwrite - the conversation history — silently dropping the other message and - its reply. Different chats are unaffected and still run in parallel. - """ - lock = self._locks.setdefault(chat_id, asyncio.Lock()) - async with lock: - history = self.get_messages(chat_id) + [{"role": "user", "content": message}] - result = await Runner.run(self.agent, input=history) - self.set_messages(chat_id, result.to_input_list()) - self.truncate_history(chat_id) - return str(result.final_output) - - async def cleanup(self) -> None: - """Clean up resources.""" - for mcp_server in self.agent.mcp_servers: - try: - await mcp_server.cleanup() - logging.info(f"Server {mcp_server.name} cleaned up") - except Exception as e: - logging.error(f"Error during cleanup of server {mcp_server.name}: {e}") diff --git a/bot/config.py b/bot/config.py index 2f74ee6..41fb382 100644 --- a/bot/config.py +++ b/bot/config.py @@ -3,25 +3,13 @@ import os from typing import Any +from agent_core.env import env_flag from dotenv import find_dotenv from dotenv import load_dotenv -logger = logging.getLogger(__name__) - -_FALSY_ENV_VALUES = frozenset({"", "0", "false", "no", "off"}) - +__all__ = ["Configuration", "env_flag"] -def env_flag(name: str) -> bool: - """Return True if env var ``name`` is set to a truthy value. - - Common falsy spellings (empty, "0", "false", "no", "off") are treated as - disabled so that ``FOO=0`` behaves as users intuitively expect rather than - as Python's default "non-empty string is truthy" rule. - """ - raw = os.getenv(name) - if raw is None: - return False - return raw.strip().lower() not in _FALSY_ENV_VALUES +logger = logging.getLogger(__name__) class Configuration: diff --git a/bot/telegram.py b/bot/telegram.py index 81c47f7..ce36530 100644 --- a/bot/telegram.py +++ b/bot/telegram.py @@ -4,6 +4,7 @@ import logging from collections import deque +from agent_core import OpenAIAgent from telegram import Message from telegram import Update from telegram.constants import ChatAction @@ -14,7 +15,6 @@ from telegram.ext import MessageHandler from telegram.ext import filters -from .agents import OpenAIAgent from .auth import create_pairing_code from .auth import get_dm_policy from .auth import get_group_config diff --git a/pyproject.toml b/pyproject.toml index 1c319d4..6cefdd9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,7 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.14" dependencies = [ + "agent-core @ git+https://github.com/John-Lin/agent-core.git", "mistune-telegram>=0.5.0", "openai-agents>=0.13.0", "python-dotenv>=1.1.0", @@ -60,5 +61,8 @@ log_file_level = "INFO" log_format = "%(asctime)s %(levelname)s %(message)s" log_date_format = "%Y-%m-%d %H:%M:%S" +[tool.hatch.metadata] +allow-direct-references = true + [tool.hatch.build.targets.wheel] packages = ["bot"] diff --git a/tests/test_agents.py b/tests/test_agents.py deleted file mode 100644 index 64355b1..0000000 --- a/tests/test_agents.py +++ /dev/null @@ -1,496 +0,0 @@ -from __future__ import annotations - -from pathlib import Path -from unittest.mock import MagicMock -from unittest.mock import create_autospec -from unittest.mock import patch - -import pytest -from agents import ShellTool -from agents.mcp import MCPServerStdio -from agents.mcp import MCPServerStreamableHttp -from agents.models.interface import Model -from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel -from agents.models.openai_responses import OpenAIResponsesModel - -from bot.agents import MAX_TURNS -from bot.agents import OpenAIAgent -from bot.agents import _get_model -from bot.agents import _parse_skill_description -from bot.agents import _shell_executor - - -@pytest.fixture -def _stub_instructions(monkeypatch): - """Stub out instructions.md loading for from_dict tests.""" - monkeypatch.setattr("bot.agents._load_instructions", lambda: "stub instructions") - - -@pytest.fixture(autouse=True) -def _mock_model(monkeypatch): - """Prevent tests from constructing a real OpenAI client and isolate shell env vars.""" - monkeypatch.setattr("bot.agents._get_model", lambda: create_autospec(Model)) - monkeypatch.delenv("SHELL_ENABLED", raising=False) - monkeypatch.delenv("SHELL_SKILLS_DIR", raising=False) - - -class TestGetModel: - def test_returns_responses_model_by_default(self, monkeypatch): - monkeypatch.delenv("OPENAI_API_TYPE", raising=False) - - with patch("bot.agents.AsyncOpenAI", return_value=MagicMock()): - model = _get_model() - assert isinstance(model, OpenAIResponsesModel) - - def test_returns_responses_model_when_api_type_is_responses(self, monkeypatch): - monkeypatch.setenv("OPENAI_API_TYPE", "responses") - - with patch("bot.agents.AsyncOpenAI", return_value=MagicMock()): - model = _get_model() - assert isinstance(model, OpenAIResponsesModel) - - def test_returns_chat_completions_model_when_api_type_is_chat_completions(self, monkeypatch): - monkeypatch.setenv("OPENAI_API_TYPE", "chat_completions") - - with patch("bot.agents.AsyncOpenAI", return_value=MagicMock()): - model = _get_model() - assert isinstance(model, OpenAIChatCompletionsModel) - - -class TestPerChatConversations: - def test_separate_chats_have_independent_history(self): - """Different chat_ids should maintain separate message histories.""" - agent = OpenAIAgent(name="test", instructions="test-prompt") - agent.append_user_message(chat_id=100, message="hello from chat 100") - agent.append_user_message(chat_id=200, message="hello from chat 200") - - msgs_100 = agent.get_messages(chat_id=100) - msgs_200 = agent.get_messages(chat_id=200) - - assert len(msgs_100) == 1 - assert len(msgs_200) == 1 - assert msgs_100[0]["content"] == "hello from chat 100" - assert msgs_200[0]["content"] == "hello from chat 200" - - def test_same_chat_accumulates_messages(self): - agent = OpenAIAgent(name="test", instructions="test-prompt") - agent.append_user_message(chat_id=100, message="first") - agent.append_user_message(chat_id=100, message="second") - - msgs = agent.get_messages(chat_id=100) - assert len(msgs) == 2 - assert msgs[0]["content"] == "first" - assert msgs[1]["content"] == "second" - - def test_unknown_chat_returns_empty(self): - agent = OpenAIAgent(name="test", instructions="test-prompt") - assert agent.get_messages(chat_id=999) == [] - - def test_set_messages_replaces_history(self): - agent = OpenAIAgent(name="test", instructions="test-prompt") - agent.append_user_message(chat_id=100, message="old") - new_msgs = [{"role": "user", "content": "replaced"}] - agent.set_messages(chat_id=100, messages=new_msgs) - assert agent.get_messages(chat_id=100) == new_msgs - - def test_set_messages_does_not_affect_other_chats(self): - agent = OpenAIAgent(name="test", instructions="test-prompt") - agent.append_user_message(chat_id=100, message="chat 100") - agent.append_user_message(chat_id=200, message="chat 200") - agent.set_messages(chat_id=100, messages=[]) - assert agent.get_messages(chat_id=100) == [] - assert len(agent.get_messages(chat_id=200)) == 1 - - -class TestInstructions: - def test_custom_instructions(self): - agent = OpenAIAgent(name="test", instructions="Be a HN bot.") - assert agent.agent.instructions == "Be a HN bot." - - def test_from_dict_loads_instructions_from_file(self, tmp_path, monkeypatch): - monkeypatch.chdir(tmp_path) - (tmp_path / "instructions.md").write_text("From file prompt.", encoding="utf-8") - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - assert agent.agent.instructions == "From file prompt." - - def test_from_dict_fails_fast_when_instructions_file_missing(self, tmp_path, monkeypatch): - monkeypatch.chdir(tmp_path) - with pytest.raises(FileNotFoundError, match="Instructions file not found"): - OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - -@pytest.mark.usefixtures("_stub_instructions") -class TestFromDictMcpServers: - def test_url_creates_streamable_http_server(self): - config = { - "mcpServers": { - "my-server": { - "url": "http://localhost:8000/mcp", - } - }, - } - agent = OpenAIAgent.from_dict("test", config) - assert len(agent.agent.mcp_servers) == 1 - assert isinstance(agent.agent.mcp_servers[0], MCPServerStreamableHttp) - - def test_url_passes_headers(self): - config = { - "mcpServers": { - "my-server": { - "url": "http://localhost:8000/mcp", - "headers": {"Authorization": "Bearer token"}, - } - }, - } - agent = OpenAIAgent.from_dict("test", config) - server = agent.agent.mcp_servers[0] - assert isinstance(server, MCPServerStreamableHttp) - - def test_command_creates_stdio_server(self): - config = { - "mcpServers": { - "my-server": { - "command": "npx", - "args": ["-y", "some-mcp-server"], - } - }, - } - agent = OpenAIAgent.from_dict("test", config) - assert len(agent.agent.mcp_servers) == 1 - assert isinstance(agent.agent.mcp_servers[0], MCPServerStdio) - - def test_mixed_servers(self): - config = { - "mcpServers": { - "remote": {"url": "http://localhost:8000/mcp"}, - "local": {"command": "npx", "args": ["-y", "server"]}, - }, - } - agent = OpenAIAgent.from_dict("test", config) - types = {type(s) for s in agent.agent.mcp_servers} - assert types == {MCPServerStreamableHttp, MCPServerStdio} - - -class TestHistoryTruncation: - def test_default_max_turns(self): - assert MAX_TURNS == 10 - - def test_truncate_keeps_recent_turns(self): - agent = OpenAIAgent(name="test", instructions="test-prompt") - # Simulate 30 turns: each turn is a user msg + assistant msg - for i in range(30): - agent.set_messages( - chat_id=100, - messages=agent.get_messages(chat_id=100) - + [ - {"role": "user", "content": f"user-{i}"}, - {"role": "assistant", "content": f"assistant-{i}"}, - ], - ) - - agent.truncate_history(chat_id=100) - msgs = agent.get_messages(chat_id=100) - - # Should keep last MAX_TURNS turns (user+assistant each) - user_msgs = [m for m in msgs if m["role"] == "user"] - assert len(user_msgs) == MAX_TURNS - # Oldest kept should be turn (30 - MAX_TURNS) - assert user_msgs[0]["content"] == f"user-{30 - MAX_TURNS}" - # Most recent should be turn 29 - assert user_msgs[-1]["content"] == "user-29" - - def test_truncate_preserves_tool_messages_within_turn(self): - agent = OpenAIAgent(name="test", instructions="test-prompt") - # Build history with tool calls in a turn - history = [] - for i in range(MAX_TURNS + 2): - history.append({"role": "user", "content": f"user-{i}"}) - if i == MAX_TURNS + 1: - # Last turn has tool calls - history.append({"role": "assistant", "content": None, "tool_calls": [{"id": "tc1"}]}) - history.append({"role": "tool", "content": "tool-result", "tool_call_id": "tc1"}) - history.append({"role": "assistant", "content": f"assistant-{i}"}) - - agent.set_messages(chat_id=100, messages=history) - agent.truncate_history(chat_id=100) - msgs = agent.get_messages(chat_id=100) - - user_msgs = [m for m in msgs if m["role"] == "user"] - assert len(user_msgs) == MAX_TURNS - # Tool messages from the last turn should be preserved - tool_msgs = [m for m in msgs if m.get("role") == "tool"] - assert len(tool_msgs) == 1 - - def test_no_truncation_when_under_limit(self): - agent = OpenAIAgent(name="test", instructions="test-prompt") - for i in range(3): - agent.set_messages( - chat_id=100, - messages=agent.get_messages(chat_id=100) - + [ - {"role": "user", "content": f"user-{i}"}, - {"role": "assistant", "content": f"assistant-{i}"}, - ], - ) - - agent.truncate_history(chat_id=100) - msgs = agent.get_messages(chat_id=100) - user_msgs = [m for m in msgs if m["role"] == "user"] - assert len(user_msgs) == 3 - - -@pytest.mark.usefixtures("_stub_instructions") -class TestShellToolConfiguration: - def _get_shell_tools(self, agent: OpenAIAgent) -> list[ShellTool]: - return [t for t in agent.agent.tools if isinstance(t, ShellTool)] - - def _configure_env(self, monkeypatch, *, enabled: bool, skills_dir: Path | None = None) -> None: - if enabled: - monkeypatch.setenv("SHELL_ENABLED", "1") - else: - monkeypatch.delenv("SHELL_ENABLED", raising=False) - if skills_dir is not None: - monkeypatch.setenv("SHELL_SKILLS_DIR", str(skills_dir)) - else: - monkeypatch.delenv("SHELL_SKILLS_DIR", raising=False) - - def _make_skill(self, parent: Path, name: str, description: str = "desc") -> Path: - skill_dir = parent / name - skill_dir.mkdir() - (skill_dir / "SKILL.md").write_text(f"---\nname: {name}\ndescription: {description}\n---\n") - return skill_dir - - def test_disabled_by_default(self, tmp_path, monkeypatch): - """SHELL_ENABLED unset means no ShellTool, even if SHELL_SKILLS_DIR is set.""" - self._make_skill(tmp_path, "my-skill") - self._configure_env(monkeypatch, enabled=False, skills_dir=tmp_path) - - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - assert self._get_shell_tools(agent) == [] - - def test_orphaned_skills_dir_without_shell_enabled_warns(self, tmp_path, monkeypatch, caplog): - self._configure_env(monkeypatch, enabled=False, skills_dir=tmp_path) - - with caplog.at_level("WARNING", logger="root"): - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - assert self._get_shell_tools(agent) == [] - assert any( - "SHELL_SKILLS_DIR" in record.message and "SHELL_ENABLED" in record.message for record in caplog.records - ) - - def test_shell_enabled_without_skills_dir_adds_bare_shell(self, tmp_path, monkeypatch): - self._configure_env(monkeypatch, enabled=True, skills_dir=None) - - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - shell_tools = self._get_shell_tools(agent) - assert len(shell_tools) == 1 - assert shell_tools[0].environment == {"type": "local"} - - def test_shell_enabled_with_skills_dir_mounts_skills(self, tmp_path, monkeypatch): - skill_dir = self._make_skill(tmp_path, "my-skill", description="A test skill") - self._configure_env(monkeypatch, enabled=True, skills_dir=tmp_path) - - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - shell_tool = self._get_shell_tools(agent)[0] - skill = shell_tool.environment["skills"][0] - assert skill["name"] == "my-skill" - assert skill["description"] == "A test skill" - assert skill["path"] == str(skill_dir) - - def test_skills_dir_missing_falls_back_to_bare_shell_with_warning(self, tmp_path, monkeypatch, caplog): - self._configure_env(monkeypatch, enabled=True, skills_dir=tmp_path / "nonexistent") - - with caplog.at_level("WARNING", logger="root"): - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - shell_tools = self._get_shell_tools(agent) - assert len(shell_tools) == 1 - assert shell_tools[0].environment == {"type": "local"} - assert any("yielded no skills" in record.message for record in caplog.records) - - def test_multiple_skills_all_mounted(self, tmp_path, monkeypatch): - self._make_skill(tmp_path, "skill-a") - self._make_skill(tmp_path, "skill-b") - self._configure_env(monkeypatch, enabled=True, skills_dir=tmp_path) - - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - shell_tool = self._get_shell_tools(agent)[0] - assert len(shell_tool.environment["skills"]) == 2 - - def test_directory_without_skill_md_is_skipped(self, tmp_path, monkeypatch): - (tmp_path / "not-a-skill").mkdir() - self._make_skill(tmp_path, "real-skill") - self._configure_env(monkeypatch, enabled=True, skills_dir=tmp_path) - - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - shell_tool = self._get_shell_tools(agent)[0] - skills = shell_tool.environment["skills"] - assert len(skills) == 1 - assert skills[0]["name"] == "real-skill" - - def test_mcp_servers_and_shell_skills_coexist(self, tmp_path, monkeypatch): - self._make_skill(tmp_path, "s") - self._configure_env(monkeypatch, enabled=True, skills_dir=tmp_path) - - config = {"mcpServers": {"my-mcp": {"command": "uvx", "args": ["something"]}}} - agent = OpenAIAgent.from_dict("test", config) - - assert len(agent.agent.mcp_servers) == 1 - assert len(self._get_shell_tools(agent)) == 1 - - def test_unreadable_utf8_skill_file_is_skipped(self, tmp_path, monkeypatch): - bad = tmp_path / "bad-skill" - bad.mkdir() - (bad / "SKILL.md").write_bytes(b"\xff\xfe\x00\x00") - self._make_skill(tmp_path, "good-skill", description="good") - self._configure_env(monkeypatch, enabled=True, skills_dir=tmp_path) - - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - shell_tool = self._get_shell_tools(agent)[0] - skills = shell_tool.environment["skills"] - assert len(skills) == 1 - assert skills[0]["name"] == "good-skill" - - def test_oserror_reading_skill_file_is_skipped(self, tmp_path, monkeypatch): - bad = tmp_path / "bad-skill" - bad.mkdir() - bad_file = bad / "SKILL.md" - bad_file.write_text("---\nname: bad\ndescription: bad\n---\n") - self._make_skill(tmp_path, "good-skill", description="good") - self._configure_env(monkeypatch, enabled=True, skills_dir=tmp_path) - - original_read_text = Path.read_text - - def _read_text(self: Path, *args, **kwargs): - if self == bad_file: - raise OSError("permission denied") - return original_read_text(self, *args, **kwargs) - - monkeypatch.setattr(Path, "read_text", _read_text) - - agent = OpenAIAgent.from_dict("test", {"mcpServers": {}}) - - shell_tool = self._get_shell_tools(agent)[0] - skills = shell_tool.environment["skills"] - assert len(skills) == 1 - assert skills[0]["name"] == "good-skill" - - -class TestParseSkillDescription: - def test_unquoted_description(self): - content = "---\nname: my-skill\ndescription: A test skill\n---\nBody text." - assert _parse_skill_description(content) == "A test skill" - - def test_double_quoted_description(self): - content = '---\nname: my-skill\ndescription: "A quoted skill"\n---\n' - assert _parse_skill_description(content) == "A quoted skill" - - def test_single_quoted_description(self): - content = "---\nname: my-skill\ndescription: 'Single quoted'\n---\n" - assert _parse_skill_description(content) == "Single quoted" - - def test_no_frontmatter(self): - content = "Just a plain markdown file." - assert _parse_skill_description(content) == "" - - def test_no_description_field(self): - content = "---\nname: my-skill\n---\nBody." - assert _parse_skill_description(content) == "" - - def test_unclosed_frontmatter(self): - content = "---\nname: my-skill\ndescription: never closed" - assert _parse_skill_description(content) == "" - - def test_empty_description(self): - content = "---\nname: my-skill\ndescription:\n---\n" - assert _parse_skill_description(content) == "" - - def test_description_with_colon_in_value(self): - content = "---\ndescription: Run this: do stuff\n---\n" - assert _parse_skill_description(content) == "Run this: do stuff" - - -def _make_shell_request(commands: list[str], timeout_ms: int | None = None): - """Build a minimal object matching the ShellCommandRequest interface.""" - from types import SimpleNamespace - - action = SimpleNamespace(commands=commands, timeout_ms=timeout_ms) - data = SimpleNamespace(action=action) - return SimpleNamespace(data=data) - - -class TestShellExecutor: - @pytest.mark.anyio - async def test_single_command_returns_stdout(self): - request = _make_shell_request(["echo hello"]) - result = await _shell_executor(request) - assert result.strip() == "hello" - - @pytest.mark.anyio - async def test_multiple_commands_combined(self): - request = _make_shell_request(["echo first", "echo second"]) - result = await _shell_executor(request) - assert "first" in result - assert "second" in result - assert result.index("first") < result.index("second") - - @pytest.mark.anyio - async def test_stderr_merged_into_stdout(self): - request = _make_shell_request(["echo err >&2"]) - result = await _shell_executor(request) - assert result.strip() == "err" - - @pytest.mark.anyio - async def test_command_timeout_kills_process(self): - request = _make_shell_request(["sleep 30"], timeout_ms=100) - result = await _shell_executor(request) - assert "timed out" in result.lower() - - @pytest.mark.anyio - async def test_nonzero_exit_code_appends_exit_code(self): - request = _make_shell_request(["echo failing && exit 1"]) - result = await _shell_executor(request) - assert "failing" in result - assert "[exit code: 1]" in result - - @pytest.mark.anyio - async def test_zero_exit_code_no_suffix(self): - request = _make_shell_request(["echo ok"]) - result = await _shell_executor(request) - assert "exit code" not in result - - @pytest.mark.anyio - async def test_timeout_ms_none_uses_default(self): - """When timeout_ms is None, SHELL_TIMEOUT is used (command completes fine).""" - request = _make_shell_request(["echo ok"], timeout_ms=None) - result = await _shell_executor(request) - assert result.strip() == "ok" - - @pytest.mark.anyio - async def test_timeout_stops_remaining_commands(self): - """After a timeout, subsequent commands are not executed.""" - request = _make_shell_request(["sleep 30", "echo should-not-run"], timeout_ms=100) - result = await _shell_executor(request) - assert "timed out" in result.lower() - assert "should-not-run" not in result - - @pytest.mark.anyio - async def test_subprocess_oserror_returns_error_message(self, monkeypatch): - """When create_subprocess_shell raises OSError, return error text instead of crashing.""" - import asyncio as _asyncio - - async def _failing_shell(*args, **kwargs): - raise OSError("fork failed") - - monkeypatch.setattr(_asyncio, "create_subprocess_shell", _failing_shell) - - request = _make_shell_request(["echo hello"]) - result = await _shell_executor(request) - assert "fork failed" in result diff --git a/uv.lock b/uv.lock index af745a9..bfa83b3 100644 --- a/uv.lock +++ b/uv.lock @@ -1,11 +1,22 @@ version = 1 +revision = 3 requires-python = ">=3.14" +[[package]] +name = "agent-core" +version = "0.1.0" +source = { git = "https://github.com/John-Lin/agent-core.git#5f1684204fed67dcfb9b41ad945fb4672538de45" } +dependencies = [ + { name = "openai-agents" }, + { name = "python-dotenv" }, +] + [[package]] name = "agentic-telegram-bot" version = "0.6.0" source = { editable = "." } dependencies = [ + { name = "agent-core" }, 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