diff --git a/backend/.env.example b/backend/.env.example index 6e32745867..5a186004c5 100644 --- a/backend/.env.example +++ b/backend/.env.example @@ -217,6 +217,7 @@ WIKI_CONTENT_WRITE_BASE_URL=http://backend:8000 DATA_TABLE_CONFIG={"dingtalk":{"appKey":"YOUR_APP_KEY","appSecret":"YOUR_APP_secret","operatorId":"YOUR_OPERATOR_ID","userMapping":{"baseId":"YOUR_BASE_ID","sheetId":"YOUR_SHEET_ID"}}} # Default team configuration for each mode +DEFAULT_TEAM_WEWORK=wegent-wework-hidden#default DEFAULT_TEAM_CHAT=wegent-chat#default DEFAULT_TEAM_KNOWLEDGE=wegent-notebook#default DEFAULT_TEAM_TASK=wegent-wework#default diff --git a/backend/app/api/endpoints/adapter/models.py b/backend/app/api/endpoints/adapter/models.py index bf9d339b37..027665236e 100644 --- a/backend/app/api/endpoints/adapter/models.py +++ b/backend/app/api/endpoints/adapter/models.py @@ -311,6 +311,13 @@ def get_compatible_models( if isinstance(model_config, dict): env = model_config.get("env", {}) model_type = env.get("model", "") + api_format = getattr(model_crd.spec.apiFormat, "value", None) + protocol = model_crd.spec.protocol + is_codex_compatible = ( + api_format == "responses" + or protocol == "openai-responses" + or model_config.get("wire_api") == "responses" + ) # Filter compatible models # Agno supports OpenAI, Claude and Gemini models @@ -320,7 +327,10 @@ def get_compatible_models( "gemini", ]: compatible_models.append({"name": model_kind.name}) - elif shell_type == "ClaudeCode" and model_type == "claude": + elif shell_type == "ClaudeCode" and ( + model_type == "claude" + or (model_type == "openai" and is_codex_compatible) + ): compatible_models.append({"name": model_kind.name}) except Exception as e: logger.warning(f"Failed to parse model {model_kind.name}: {e}") diff --git a/backend/app/api/endpoints/adapter/teams.py b/backend/app/api/endpoints/adapter/teams.py index 02f7cdcb7e..36660b93d8 100644 --- a/backend/app/api/endpoints/adapter/teams.py +++ b/backend/app/api/endpoints/adapter/teams.py @@ -43,6 +43,7 @@ def _get_default_teams_config() -> Dict[str, Dict[str, str]]: """ config = {} mode_settings = { + "wework": settings.DEFAULT_TEAM_WEWORK, "chat": settings.DEFAULT_TEAM_CHAT, "code": settings.DEFAULT_TEAM_CODE, "knowledge": settings.DEFAULT_TEAM_KNOWLEDGE, diff --git a/backend/app/api/endpoints/users.py b/backend/app/api/endpoints/users.py index 60460564d9..cdab3807e9 100644 --- a/backend/app/api/endpoints/users.py +++ b/backend/app/api/endpoints/users.py @@ -575,6 +575,7 @@ class DefaultTeamConfig(BaseModel): class DefaultTeamsResponse(BaseModel): """Response model for default teams configuration""" + wework: Optional[DefaultTeamConfig] = None chat: Optional[DefaultTeamConfig] = None code: Optional[DefaultTeamConfig] = None knowledge: Optional[DefaultTeamConfig] = None @@ -607,6 +608,7 @@ async def get_default_teams( from app.core.config import settings return DefaultTeamsResponse( + wework=parse_default_team_config(settings.DEFAULT_TEAM_WEWORK), chat=parse_default_team_config(settings.DEFAULT_TEAM_CHAT), code=parse_default_team_config(settings.DEFAULT_TEAM_CODE), knowledge=parse_default_team_config(settings.DEFAULT_TEAM_KNOWLEDGE), diff --git a/backend/app/core/config.py b/backend/app/core/config.py index 7cd11e0d3e..8b1f40d698 100644 --- a/backend/app/core/config.py +++ b/backend/app/core/config.py @@ -582,6 +582,9 @@ def parse_rag_runtime_mode(cls, v: Any) -> str | dict[str, str]: DEFAULT_TEAM_TASK: str = ( "wegent-wework#default" # Default team for task mode (devices/chat page) ) + DEFAULT_TEAM_WEWORK: str = ( + "wegent-wework-hidden#default" # Default hidden team for WeWork workbench + ) # JSON configuration for MCP servers (similar to Claude Desktop format) # Example: diff --git a/backend/app/services/chat/trigger/unified.py b/backend/app/services/chat/trigger/unified.py index 67520d2111..09f214324a 100644 --- a/backend/app/services/chat/trigger/unified.py +++ b/backend/app/services/chat/trigger/unified.py @@ -39,6 +39,32 @@ SELECTED_KB_PRELOAD_SKILL = "wegent-knowledge" +def _reasoning_from_model_options(payload: Any) -> Optional[Dict[str, Any]]: + """Convert UI model options into execution reasoning config.""" + if payload is None: + return None + model_options = getattr(payload, "model_options", None) + if not isinstance(model_options, dict): + return None + reasoning = model_options.get("reasoning") + summary = model_options.get("summary") + if not reasoning and not summary: + return None + + result: Dict[str, Any] = {} + if isinstance(reasoning, dict): + effort = reasoning.get("effort") or reasoning.get("reasoning") + summary = summary or reasoning.get("summary") + else: + effort = reasoning + + if effort: + result["effort"] = str(effort) + if summary: + result["summary"] = str(summary) + return result or None + + def _build_executor_attachment_payload(context: Any) -> dict[str, Any]: """Serialize an attachment context for executor-side downloading.""" return { @@ -274,13 +300,16 @@ async def build_execution_request( previous_bot_id=previous_bot_id, ) - # Merge reasoning_config from API request into model_config - # Priority: API request reasoning_config > model's think_config - if reasoning_config: - request.model_config["reasoning"] = reasoning_config + # Merge reasoning config from API/model selection into model_config. + # Priority: explicit API reasoning_config > UI model_options > model think_config. + selected_reasoning_config = reasoning_config or _reasoning_from_model_options( + payload + ) + if selected_reasoning_config: + request.model_config["reasoning"] = selected_reasoning_config logger.info( - "[build_execution_request] Applied reasoning config from API request: %s", - reasoning_config, + "[build_execution_request] Applied selected reasoning config: %s", + selected_reasoning_config, ) elif request.model_config.get("think_config"): # If no API reasoning_config but model has think_config, use it @@ -291,8 +320,8 @@ async def build_execution_request( ) # Store reasoning_config in ExecutionRequest for downstream access - request.reasoning_config = reasoning_config or request.model_config.get( - "reasoning" + request.reasoning_config = ( + selected_reasoning_config or request.model_config.get("reasoning") ) # Merge user-selected generate_params into videoConfig for video models diff --git a/backend/app/services/model_aggregation_service.py b/backend/app/services/model_aggregation_service.py index 4b15d6c939..7ce605e68f 100644 --- a/backend/app/services/model_aggregation_service.py +++ b/backend/app/services/model_aggregation_service.py @@ -156,6 +156,10 @@ def _extract_model_info_from_crd( model_category_type = model_crd.spec.modelType.value config = model_crd.spec.modelConfig + if model_crd.spec.protocol: + config = {**config, "protocol": model_crd.spec.protocol} + if model_crd.spec.apiFormat: + config = {**config, "apiFormat": model_crd.spec.apiFormat.value} # Include type-specific config for non-LLM models if model_category_type == "video": @@ -204,7 +208,11 @@ def _extract_model_info_from_crd( } def _is_model_compatible_with_shell( - self, provider: Optional[str], shell_type: str, support_model: List[str] + self, + provider: Optional[str], + shell_type: str, + support_model: List[str], + config: Optional[Dict[str, Any]] = None, ) -> bool: """ Check if a model is compatible with the given shell type. @@ -221,12 +229,18 @@ def _is_model_compatible_with_shell( # Agno supports OpenAI, Claude and Gemini models shell_provider_map = { "Agno": ["openai", "claude", "gemini"], - "ClaudeCode": ["claude"], + "ClaudeCode": ["claude", "openai"], } - # If supportModel is specified in shell, use it if support_model: - return provider in support_model + if provider not in support_model: + return False + + if shell_type == "ClaudeCode" and provider == "openai": + return self._is_codex_compatible_model_config(config or {}) + + if support_model: + return True # Otherwise, filter by shell's supported providers supported_providers = shell_provider_map.get(shell_type) @@ -239,6 +253,18 @@ def _is_model_compatible_with_shell( # No filter, allow all return True + @staticmethod + def _is_codex_compatible_model_config(config: Dict[str, Any]) -> bool: + """Return whether an OpenAI model config can run through CodeXAgent.""" + api_format = str(config.get("apiFormat") or config.get("api_format") or "") + protocol = str(config.get("protocol") or "") + wire_api = str(config.get("wire_api") or "") + return ( + api_format.lower() == "responses" + or protocol.lower() == "openai-responses" + or wire_api.lower() == "responses" + ) + def _get_shell_support_model( self, db: Session, shell_name: str, current_user: Optional[User] = None ) -> tuple[List[str], str]: @@ -403,7 +429,10 @@ def list_available_models( info = self._extract_model_info_from_crd(model_data) if shell_type and not self._is_model_compatible_with_shell( - info["provider"], actual_shell_type, support_model + info["provider"], + actual_shell_type, + support_model, + info.get("config"), ): continue @@ -450,7 +479,10 @@ def list_available_models( public_model_category_type = model_dict.get("model_category_type", "llm") if shell_type and not self._is_model_compatible_with_shell( - provider, actual_shell_type, support_model + provider, + actual_shell_type, + support_model, + config, ): continue diff --git a/backend/tests/api/endpoints/test_adapter_teams_defaults.py b/backend/tests/api/endpoints/test_adapter_teams_defaults.py new file mode 100644 index 0000000000..9d5e073529 --- /dev/null +++ b/backend/tests/api/endpoints/test_adapter_teams_defaults.py @@ -0,0 +1,84 @@ +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +from app.api.endpoints.adapter import teams as teams_endpoint + + +def test_default_team_config_includes_wework_mode(monkeypatch): + monkeypatch.setattr( + teams_endpoint.settings, + "DEFAULT_TEAM_WEWORK", + "wegent-wework-hidden#default", + ) + monkeypatch.setattr( + teams_endpoint.settings, + "DEFAULT_TEAM_CHAT", + "wegent-chat#default", + ) + + config = teams_endpoint._get_default_teams_config() + + assert config["wework"] == { + "name": "wegent-wework-hidden", + "namespace": "default", + } + assert config["chat"] == {"name": "wegent-chat", "namespace": "default"} + + +def test_add_default_for_modes_marks_wework_team(): + items = [ + {"name": "wegent-wework-hidden", "namespace": "default"}, + {"name": "wegent-chat", "namespace": "default"}, + ] + default_config = { + "wework": {"name": "wegent-wework-hidden", "namespace": "default"}, + "chat": {"name": "wegent-chat", "namespace": "default"}, + } + + result = teams_endpoint._add_default_for_modes(items, default_config) + + assert result[0]["default_for_modes"] == ["wework"] + assert result[1]["default_for_modes"] == ["chat"] + + +def test_list_teams_api_marks_wework_default(monkeypatch): + from types import SimpleNamespace + + from fastapi import FastAPI + from fastapi.testclient import TestClient + + from app.api.dependencies import get_db + from app.core import security + + monkeypatch.setattr( + teams_endpoint.settings, + "DEFAULT_TEAM_WEWORK", + "wegent-wework-hidden#default", + ) + monkeypatch.setattr(teams_endpoint.settings, "DEFAULT_TEAM_CHAT", "") + monkeypatch.setattr(teams_endpoint.settings, "DEFAULT_TEAM_CODE", "") + monkeypatch.setattr(teams_endpoint.settings, "DEFAULT_TEAM_KNOWLEDGE", "") + monkeypatch.setattr(teams_endpoint.settings, "DEFAULT_TEAM_TASK", "") + monkeypatch.setattr( + teams_endpoint.team_kinds_service, + "get_user_teams", + lambda **_: [ + { + "id": 1, + "name": "wegent-wework-hidden", + "namespace": "default", + "is_active": True, + } + ], + ) + + app = FastAPI() + app.include_router(teams_endpoint.router, prefix="/teams") + app.dependency_overrides[get_db] = lambda: None + app.dependency_overrides[security.get_current_user] = lambda: SimpleNamespace(id=1) + + response = TestClient(app).get("/teams?page=1&limit=100") + + assert response.status_code == 200 + assert response.json()["items"][0]["default_for_modes"] == ["wework"] diff --git a/backend/tests/services/chat/test_reasoning_config.py b/backend/tests/services/chat/test_reasoning_config.py index 10efaea591..cde92388fd 100644 --- a/backend/tests/services/chat/test_reasoning_config.py +++ b/backend/tests/services/chat/test_reasoning_config.py @@ -99,3 +99,30 @@ def test_execution_request_from_dict_preserves_reasoning_config(self): } request = ExecutionRequest.from_dict(data) assert request.reasoning_config == {"effort": "low", "summary": "concise"} + + +class TestModelOptionsReasoningConfig: + """Tests for UI model options reasoning normalization.""" + + def test_model_options_reasoning_object_preserves_summary(self): + """Test object-shaped UI reasoning does not become effort text.""" + from app.services.chat.trigger.unified import _reasoning_from_model_options + + payload = MagicMock() + payload.model_options = {"reasoning": {"summary": "detailed"}} + + assert _reasoning_from_model_options(payload) == {"summary": "detailed"} + + def test_model_options_reasoning_object_maps_effort_and_summary(self): + """Test object-shaped UI reasoning maps supported fields separately.""" + from app.services.chat.trigger.unified import _reasoning_from_model_options + + payload = MagicMock() + payload.model_options = { + "reasoning": {"effort": "high", "summary": "concise"}, + } + + assert _reasoning_from_model_options(payload) == { + "effort": "high", + "summary": "concise", + } diff --git a/backend/tests/services/test_model_aggregation_service.py b/backend/tests/services/test_model_aggregation_service.py index c42316e105..0b0dc2d873 100644 --- a/backend/tests/services/test_model_aggregation_service.py +++ b/backend/tests/services/test_model_aggregation_service.py @@ -145,12 +145,21 @@ def test_get_shell_support_model_not_found(self, test_db: Session, test_user: Us def test_is_model_compatible_with_shell_claudecode(self, test_db: Session): """Test model compatibility for ClaudeCode shell type.""" - # ClaudeCode only supports Claude models + # ClaudeCode keeps Claude support and routes OpenAI Responses models to CodeX. assert model_aggregation_service._is_model_compatible_with_shell( "claude", "ClaudeCode", [] ) + assert model_aggregation_service._is_model_compatible_with_shell( + "openai", "ClaudeCode", [], {"apiFormat": "responses"} + ) + assert model_aggregation_service._is_model_compatible_with_shell( + "openai", "ClaudeCode", [], {"protocol": "openai-responses"} + ) assert not model_aggregation_service._is_model_compatible_with_shell( - "openai", "ClaudeCode", [] + "openai", "ClaudeCode", [], {"apiFormat": "chat/completions"} + ) + assert not model_aggregation_service._is_model_compatible_with_shell( + "openai", "ClaudeCode", ["openai"], {"apiFormat": "chat/completions"} ) assert not model_aggregation_service._is_model_compatible_with_shell( "gemini", "ClaudeCode", [] @@ -218,9 +227,12 @@ def test_custom_shell_inherits_model_filter_from_base( assert model_aggregation_service._is_model_compatible_with_shell( "claude", shell_type, support_model ) - # OpenAI should NOT be allowed for ClaudeCode type + # OpenAI should only be allowed when it uses the Responses API for CodeX. assert not model_aggregation_service._is_model_compatible_with_shell( - "openai", shell_type, support_model + "openai", shell_type, support_model, {"apiFormat": "chat/completions"} + ) + assert model_aggregation_service._is_model_compatible_with_shell( + "openai", shell_type, support_model, {"apiFormat": "responses"} ) # Gemini should NOT be allowed for ClaudeCode type assert not model_aggregation_service._is_model_compatible_with_shell( diff --git a/docker/executor/Dockerfile b/docker/executor/Dockerfile index 5d8bbddcaa..49ff4e4421 100644 --- a/docker/executor/Dockerfile +++ b/docker/executor/Dockerfile @@ -11,6 +11,7 @@ WORKDIR /app COPY executor/pyproject.toml /app/executor/pyproject.toml RUN cd /app/executor && uv pip install --system --no-cache -r pyproject.toml +RUN uv pip install --system --no-cache --no-deps openai-codex==0.1.0b2 # Install PyInstaller for building standalone binary (using uv for speed) RUN uv pip install --system pyinstaller @@ -37,7 +38,7 @@ RUN dnf install -y \ atk at-spi2-atk libXcomposite libXdamage libXfixes libXrandr libxkbcommon \ # Skill-creator dependencies (JSON parsing and packaging) jq zip \ - && npm install -g @anthropic-ai/claude-code@2.1.33 \ + && npm install -g @anthropic-ai/claude-code@2.1.33 @openai/codex@0.132.0 \ && dnf clean all \ && rm -rf /var/cache/dnf/* diff --git a/executor/agents/__init__.py b/executor/agents/__init__.py index e96684f4eb..a58f0f5abf 100644 --- a/executor/agents/__init__.py +++ b/executor/agents/__init__.py @@ -9,6 +9,7 @@ from executor.agents.base import Agent from executor.agents.claude_code import ClaudeCodeAgent +from executor.agents.codex import CodeXAgent from executor.agents.factory import AgentFactory -__all__ = ["Agent", "ClaudeCodeAgent", "AgentFactory"] +__all__ = ["Agent", "ClaudeCodeAgent", "CodeXAgent", "AgentFactory"] diff --git a/executor/agents/base.py b/executor/agents/base.py index dcb378876e..41a6d5363b 100644 --- a/executor/agents/base.py +++ b/executor/agents/base.py @@ -391,6 +391,55 @@ def _resolve_git_project_path(self, repo_name: str) -> str: return os.path.join(config.get_workspace_root(), str(self.task_id), repo_name) + def resolve_project_workspace_path(self) -> Optional[str]: + """Resolve the workspace path configured for a project-backed task.""" + project_id = getattr(self.task_data, "project_id", None) + workspace_source = getattr(self.task_data, "workspace_source", None) + project_path = getattr(self.task_data, "project_workspace_path", None) + + if not workspace_source: + return None + if not project_id and not project_path: + return None + + if project_path: + resolved_path = os.path.expanduser(str(project_path)) + if not os.path.isabs(resolved_path): + resolved_path = os.path.join(config.get_workspace_root(), resolved_path) + return resolved_path + + if project_id and workspace_source == "git" and self.task_data.git_url: + repo_name = git_util.get_repo_name_from_url(self.task_data.git_url) + safe_repo_name = repo_name.replace("/", "_").replace("\\", "_") + return os.path.join( + config.get_workspace_root(), + "projects", + str(project_id), + safe_repo_name, + ) + + return None + + def prepare_project_workspace_path(self) -> Optional[str]: + """Set project_path from project workspace metadata and create directories.""" + project_path = self.resolve_project_workspace_path() + if not project_path: + return None + + workspace_source = getattr(self.task_data, "workspace_source", None) + if workspace_source == "local_path": + os.makedirs(project_path, exist_ok=True) + else: + parent_dir = os.path.dirname(project_path) + if parent_dir: + os.makedirs(parent_dir, exist_ok=True) + + self.project_path = project_path + logger.info( + "Using project workspace path for task %s: %s", self.task_id, project_path + ) + return project_path + def initialize(self) -> TaskStatus: """ Initialize the agent with configuration from task_data. diff --git a/executor/agents/claude_code/claude_code_agent.py b/executor/agents/claude_code/claude_code_agent.py index 441acb9cc5..13ea1cd6bd 100644 --- a/executor/agents/claude_code/claude_code_agent.py +++ b/executor/agents/claude_code/claude_code_agent.py @@ -72,7 +72,6 @@ from shared.models.task import ExecutionResult, ThinkingStep from shared.status import TaskStatus from shared.telemetry.decorators import add_span_event, trace_async -from shared.utils import git_util logger = setup_logger("claude_code_agent") @@ -518,43 +517,14 @@ def _prepare_project_workspace(self) -> None: workspace_source = "local_path" project_path = standalone_path - if not workspace_source: - return - if not project_id and not project_path: - return - - if project_path: - project_path = os.path.expanduser(str(project_path)) - if not os.path.isabs(project_path): - project_path = os.path.join(config.get_workspace_root(), project_path) - elif project_id and workspace_source == "git" and self.task_data.git_url: - repo_name = git_util.get_repo_name_from_url(self.task_data.git_url) - safe_repo_name = repo_name.replace("/", "_").replace("\\", "_") - project_path = os.path.join( - config.get_workspace_root(), - "projects", - str(project_id), - safe_repo_name, - ) - + project_path = self.prepare_project_workspace_path() if not project_path: return - if workspace_source == "local_path": - os.makedirs(project_path, exist_ok=True) - else: - parent_dir = os.path.dirname(project_path) - if parent_dir: - os.makedirs(parent_dir, exist_ok=True) - - self.project_path = project_path self.options["cwd"] = project_path SessionManager.set_task_session_root( self.task_id, os.path.join(config.WEGENT_EXECUTOR_HOME, "sessions") ) - logger.info( - "Using project workspace path for task %s: %s", self.task_id, project_path - ) def _coordinate_mode_workspace_path(self) -> Optional[str]: """Return where coordinate-mode Claude internals should be written.""" diff --git a/executor/agents/claude_code/config_manager.py b/executor/agents/claude_code/config_manager.py index 66ace43846..95904df16e 100644 --- a/executor/agents/claude_code/config_manager.py +++ b/executor/agents/claude_code/config_manager.py @@ -17,10 +17,10 @@ from pathlib import Path from typing import Any, Callable, Dict, Optional +from executor.agents.env_value import resolve_env_value as _resolve_env_value from executor.config.config import get_wegent_mcp_url from shared.logger import setup_logger from shared.models.execution import ExecutionRequest -from shared.utils.crypto import decrypt_sensitive_data, is_data_encrypted logger = setup_logger("claude_code_config_manager") @@ -108,34 +108,7 @@ def resolve_env_value(value: str) -> str: Returns: The resolved value """ - import re - - if not value: - return value - - # Check for ${VAR_NAME} pattern and replace with env var - env_var_pattern = r"^\$\{([^}]+)\}$" - match = re.match(env_var_pattern, value) - if match: - var_name = match.group(1) - resolved = os.environ.get(var_name, "") - if resolved: - logger.info(f"Resolved env var ${{{var_name}}} from environment") - else: - logger.warning(f"Environment variable {var_name} not found") - return resolved - - # Check if encrypted and decrypt - if is_data_encrypted(value): - decrypted = decrypt_sensitive_data(value) - if decrypted: - logger.info("Decrypted sensitive data") - return decrypted - logger.warning("Failed to decrypt sensitive data") - return "" - - # Return as-is - return value + return _resolve_env_value(value, logger_override=logger) def build_claude_json_config() -> Dict[str, Any]: diff --git a/executor/agents/codex/__init__.py b/executor/agents/codex/__init__.py new file mode 100644 index 0000000000..4fc351432e --- /dev/null +++ b/executor/agents/codex/__init__.py @@ -0,0 +1,10 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +from executor.agents.codex.codex_agent import CodeXAgent +from executor.agents.codex.config_builder import is_codex_compatible_model + +__all__ = ["CodeXAgent", "is_codex_compatible_model"] diff --git a/executor/agents/codex/codex_agent.py b/executor/agents/codex/codex_agent.py new file mode 100644 index 0000000000..8eba6af85c --- /dev/null +++ b/executor/agents/codex/codex_agent.py @@ -0,0 +1,324 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +# -*- coding: utf-8 -*- + +import asyncio +import os +import threading +from pathlib import Path +from typing import Any, Callable, Optional, Tuple + +from executor.agents.base import Agent +from executor.agents.codex.config_builder import CodeXConfig, build_codex_config +from executor.agents.codex.event_mapper import CodeXEventMapper +from executor.agents.codex.session_store import CodeXSessionStore +from executor.config import config +from shared.logger import setup_logger +from shared.models.execution import ExecutionRequest +from shared.models.responses_api_emitter import ResponsesAPIEmitter +from shared.status import TaskStatus + +logger = setup_logger("codex_agent") + + +class CodeXAgent(Agent): + """Codex runtime backed by the Python SDK and a preinstalled Codex binary.""" + + AGENT_TYPE = "local_engine" + _active_task_ids: set[int] = set() + _active_agents: dict[int, "CodeXAgent"] = {} + + def get_name(self) -> str: + return "CodeX" + + @classmethod + def get_active_task_ids(cls) -> list[int]: + return sorted(cls._active_task_ids) + + @classmethod + async def cleanup_task_clients(cls, task_id: int) -> int: + agent = cls._active_agents.get(task_id) + if agent is None: + return 0 + await agent.cleanup_async() + return 1 + + @classmethod + async def close_all_clients(cls) -> None: + agents = list(cls._active_agents.values()) + await asyncio.gather( + *(agent.cleanup_async() for agent in agents), + return_exceptions=True, + ) + + def __init__( + self, + task_data: ExecutionRequest, + emitter: ResponsesAPIEmitter, + ): + super().__init__(task_data, emitter) + self.prompt = task_data.prompt or "" + self.new_session = task_data.new_session + self.codex_config: Optional[CodeXConfig] = None + self._codex = None + self._thread = None + self._turn = None + self._bot_id = self._resolve_bot_id(task_data) + self._session_store = CodeXSessionStore() + self.on_client_created_callback: Optional[Callable[[], Any]] = None + + def initialize(self) -> TaskStatus: + try: + self.codex_config = build_codex_config(self.task_data.model_config) + return TaskStatus.SUCCESS + except Exception as exc: + logger.exception("Failed to initialize CodeXAgent: %s", exc) + return TaskStatus.FAILED + + async def pre_execute(self) -> Tuple[TaskStatus, Optional[str]]: + try: + await self.download_code() + if self.project_path is None: + self.prepare_project_workspace_path() + if self.project_path is None: + self.project_path = self._default_workspace_path() + Path(self.project_path).mkdir(parents=True, exist_ok=True) + return TaskStatus.SUCCESS, None + except Exception as exc: + logger.exception("CodeXAgent pre_execute failed: %s", exc) + return TaskStatus.FAILED, str(exc) + + async def handle( + self, pre_executed: Optional[TaskStatus] = None + ) -> Tuple[TaskStatus, Optional[str]]: + try: + if pre_executed is not None: + self.execution_status = pre_executed + + if self.execution_status == TaskStatus.INITIALIZED: + pre_status, pre_error = await self.pre_execute() + if pre_status != TaskStatus.SUCCESS: + return TaskStatus.FAILED, pre_error + self.execution_status = TaskStatus.PRE_EXECUTED + + self.execution_status = TaskStatus.RUNNING + status = await self.execute_async() + return status, None + except Exception as exc: + logger.exception("CodeXAgent handle failed: %s", exc) + return TaskStatus.FAILED, str(exc) + + def execute(self) -> TaskStatus: + result: dict[str, Any] = {} + + def run() -> None: + try: + result["status"] = asyncio.run(self.execute_async()) + except Exception as exc: + result["error"] = exc + + thread = threading.Thread(target=run, daemon=True) + thread.start() + thread.join() + if "error" in result: + raise result["error"] + return result.get("status", TaskStatus.FAILED) + + async def execute_async(self) -> TaskStatus: + if self.codex_config is None: + return TaskStatus.FAILED + + self.__class__._active_task_ids.add(self.task_id) + self.__class__._active_agents[self.task_id] = self + mapper = CodeXEventMapper(self.emitter) + + try: + await self._start_codex_client() + await self._open_thread() + await self._notify_client_created() + + input_text = self._build_turn_input() + effort, summary = self._build_reasoning_params() + self._turn = await self._thread.turn( + input_text, + cwd=self.project_path, + effort=effort, + model=self.codex_config.model, + sandbox=self._sandbox_full_access(), + summary=summary, + ) + + async for event in self._turn.stream(): + status = await mapper.handle(event) + if status is not None: + return status + return TaskStatus.FAILED + except Exception as exc: + logger.exception("CodeXAgent execution failed: %s", exc) + await self.emitter.error(str(exc), "execution_error") + return TaskStatus.FAILED + finally: + await self.cleanup_async() + + def cancel_run(self) -> bool: + if self._turn is None: + logger.warning("CodeXAgent has no active turn to cancel: %s", self.task_id) + return False + try: + loop = asyncio.get_running_loop() + loop.create_task(self._turn.interrupt()) + except RuntimeError: + asyncio.run(self._turn.interrupt()) + return True + + async def cleanup_async(self) -> None: + if self._codex is not None: + try: + await self._codex.close() + except Exception as exc: + logger.warning("Failed to close Codex client: %s", exc) + self._codex = None + self._thread = None + self._turn = None + self.__class__._active_task_ids.discard(self.task_id) + self.__class__._active_agents.pop(self.task_id, None) + + async def _start_codex_client(self) -> None: + from openai_codex import AsyncCodex, CodexConfig + + assert self.codex_config is not None + sdk_config = CodexConfig( + codex_bin=self.codex_config.codex_bin, + config_overrides=self.codex_config.config_overrides, + cwd=self.project_path, + ) + self._codex = AsyncCodex(config=sdk_config) + await self._codex.__aenter__() + + async def _open_thread(self) -> None: + from openai_codex import ApprovalMode + + assert self.codex_config is not None + thread_id = self._session_store.load( + self.task_id, + self._bot_id, + self.new_session, + ) + developer_instructions = self._build_developer_instructions() + try: + if thread_id: + self._thread = await self._codex.thread_resume( + thread_id, + approval_mode=ApprovalMode.deny_all, + config=self.codex_config.thread_config, + cwd=self.project_path, + developer_instructions=developer_instructions, + model=self.codex_config.model, + model_provider=self.codex_config.model_provider, + sandbox=self._sandbox_full_access(), + ) + else: + self._thread = await self._codex.thread_start( + approval_mode=ApprovalMode.deny_all, + config=self.codex_config.thread_config, + cwd=self.project_path, + developer_instructions=developer_instructions, + model=self.codex_config.model, + model_provider=self.codex_config.model_provider, + sandbox=self._sandbox_full_access(), + service_name="wegent", + ) + except Exception: + if not thread_id: + raise + logger.warning( + "Failed to resume Codex thread %s, starting a new one", thread_id + ) + self._thread = await self._codex.thread_start( + approval_mode=ApprovalMode.deny_all, + config=self.codex_config.thread_config, + cwd=self.project_path, + developer_instructions=developer_instructions, + model=self.codex_config.model, + model_provider=self.codex_config.model_provider, + sandbox=self._sandbox_full_access(), + service_name="wegent", + ) + self._session_store.save(self.task_id, self._bot_id, self._thread.id) + + async def _notify_client_created(self) -> None: + if not self.on_client_created_callback: + return + try: + result = self.on_client_created_callback() + if asyncio.iscoroutine(result): + await result + except Exception as exc: + logger.warning("CodeXAgent client-created callback failed: %s", exc) + + def _build_turn_input(self) -> str: + prompt = self.prompt + if isinstance(prompt, str): + return prompt + if not isinstance(prompt, list): + return str(prompt) + + parts: list[str] = [] + for block in prompt: + if not isinstance(block, dict): + continue + block_type = block.get("type") + if block_type in {"input_text", "text"}: + text = block.get("text") + if text: + parts.append(str(text)) + elif block_type in {"input_image", "image_url"}: + parts.append("[Image input omitted by CodeXAgent]") + return "\n\n".join(parts) + + def _build_developer_instructions(self) -> Optional[str]: + parts = [ + self.task_data.system_prompt or "", + self.task_data.kb_meta_prompt or "", + ] + content = "\n\n".join(part for part in parts if part.strip()) + return content or None + + def _build_reasoning_params(self) -> tuple[Any, Any]: + assert self.codex_config is not None + effort = None + summary = None + if self.codex_config.effort: + from openai_codex.generated.v2_all import ReasoningEffort + + try: + effort = ReasoningEffort(self.codex_config.effort) + except ValueError: + logger.warning( + "Unsupported Codex reasoning effort: %s", self.codex_config.effort + ) + if self.codex_config.summary: + from openai_codex.generated.v2_all import ReasoningSummary + + summary = ReasoningSummary.model_validate(self.codex_config.summary) + return effort, summary + + @staticmethod + def _sandbox_full_access() -> Any: + from openai_codex import Sandbox + + return Sandbox.full_access + + @staticmethod + def _resolve_bot_id(task_data: ExecutionRequest) -> Optional[int]: + if not task_data.bot: + return None + bot_id = task_data.bot[0].get("id") + return int(bot_id) if bot_id is not None else None + + def _default_workspace_path(self) -> str: + return os.path.join(config.get_workspace_root(), str(self.task_id)) diff --git a/executor/agents/codex/config_builder.py b/executor/agents/codex/config_builder.py new file mode 100644 index 0000000000..a4bcfd9133 --- /dev/null +++ b/executor/agents/codex/config_builder.py @@ -0,0 +1,167 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +# -*- coding: utf-8 -*- + +import re +import shutil +from dataclasses import dataclass +from typing import Any, Optional + +from executor.agents.env_value import resolve_env_value +from executor.config import config +from shared.logger import setup_logger + +OPENAI_RESPONSES_PROTOCOL = "openai-responses" +RESPONSES_WIRE_API = "responses" +DEFAULT_PROVIDER_NAME = "wecode openai" +CODEX_REASONING_EFFORTS = {"none", "minimal", "low", "medium", "high", "xhigh"} +CODEX_REASONING_SUMMARIES = {"auto", "concise", "detailed"} + +logger = setup_logger("codex_config_builder") + + +@dataclass(frozen=True) +class CodeXConfig: + """Resolved Codex SDK configuration for one task run.""" + + codex_bin: str + model: str + model_provider: str + config_overrides: tuple[str, ...] + thread_config: dict[str, Any] + effort: Optional[str] + summary: Optional[str] + + +def is_codex_compatible_model(model_config: dict[str, Any]) -> bool: + """Return whether an execution model should run through CodeXAgent.""" + provider = str(model_config.get("model") or "").lower() + api_format = _read_api_format(model_config) + protocol = str(model_config.get("protocol") or "").lower() + wire_api = str(model_config.get("wire_api") or "").lower() + + return provider == "openai" and ( + api_format == RESPONSES_WIRE_API + or protocol == OPENAI_RESPONSES_PROTOCOL + or wire_api == RESPONSES_WIRE_API + ) + + +def build_codex_config(model_config: dict[str, Any]) -> CodeXConfig: + """Build Codex SDK launch and thread parameters from Wegent model config.""" + model = str(model_config.get("model_id") or "").strip() + if not model: + raise ValueError("CodeXAgent requires model_config.model_id") + + base_url = str(model_config.get("base_url") or "").strip() + if not base_url: + raise ValueError("CodeXAgent requires model_config.base_url") + + api_key = resolve_env_value( + str(model_config.get("api_key") or "").strip(), logger_override=logger + ).strip() + if not api_key: + raise ValueError("CodeXAgent requires model_config.api_key") + + model_provider = _resolve_model_provider(model_config) + wire_api = _resolve_wire_api(model_config) + reasoning = _normalize_reasoning(model_config.get("reasoning")) + + overrides = [ + "forced_login_method=api", + f"model={model}", + f"model_provider={model_provider}", + f"model_providers.{model_provider}.name={_resolve_provider_name(model_config)}", + f"model_providers.{model_provider}.base_url={base_url.rstrip('/')}", + f"model_providers.{model_provider}.wire_api={wire_api}", + f"model_providers.{model_provider}.experimental_bearer_token={api_key}", + ] + + thread_config: dict[str, Any] = {} + if reasoning.get("effort"): + thread_config["model_reasoning_effort"] = reasoning["effort"] + if reasoning.get("summary"): + thread_config["model_reasoning_summary"] = reasoning["summary"] + + return CodeXConfig( + codex_bin=_resolve_codex_binary(config.CODEX_BINARY_PATH), + model=model, + model_provider=model_provider, + config_overrides=tuple(overrides), + thread_config=thread_config, + effort=reasoning.get("effort"), + summary=reasoning.get("summary"), + ) + + +def _resolve_model_provider(model_config: dict[str, Any]) -> str: + provider = ( + model_config.get("codex_model_provider") + or model_config.get("model_provider") + or model_config.get("provider") + or config.CODEX_MODEL_PROVIDER + ) + return _sanitize_provider_id(str(provider or config.CODEX_MODEL_PROVIDER)) + + +def _resolve_provider_name(model_config: dict[str, Any]) -> str: + return str( + model_config.get("provider_name") + or model_config.get("display_name") + or DEFAULT_PROVIDER_NAME + ) + + +def _resolve_wire_api(model_config: dict[str, Any]) -> str: + api_format = _read_api_format(model_config) + wire_api = str(model_config.get("wire_api") or "").lower() + protocol = str(model_config.get("protocol") or "").lower() + if api_format == RESPONSES_WIRE_API or protocol == OPENAI_RESPONSES_PROTOCOL: + return RESPONSES_WIRE_API + return wire_api or RESPONSES_WIRE_API + + +def _read_api_format(model_config: dict[str, Any]) -> str: + return str( + model_config.get("api_format") or model_config.get("apiFormat") or "" + ).lower() + + +def _sanitize_provider_id(value: str) -> str: + sanitized = re.sub(r"[^A-Za-z0-9_-]+", "-", value.strip()).strip("-") + return sanitized or config.CODEX_MODEL_PROVIDER + + +def _resolve_codex_binary(value: str) -> str: + if "/" in value or "\\" in value: + return value + return shutil.which(value) or value + + +def _normalize_reasoning(value: Any) -> dict[str, str]: + if isinstance(value, str): + effort = value + summary = None + elif isinstance(value, dict): + effort = value.get("effort") or value.get("reasoning") + summary = value.get("summary") + if isinstance(effort, dict): + summary = summary or effort.get("summary") + effort = effort.get("effort") or effort.get("reasoning") + else: + return {} + + result: dict[str, str] = {} + if effort: + effort_value = str(effort).lower() + if effort_value in CODEX_REASONING_EFFORTS: + result["effort"] = effort_value + if summary: + summary_value = str(summary).lower() + if summary_value in CODEX_REASONING_SUMMARIES: + result["summary"] = summary_value + return result diff --git a/executor/agents/codex/event_mapper.py b/executor/agents/codex/event_mapper.py new file mode 100644 index 0000000000..7b185ba2c2 --- /dev/null +++ b/executor/agents/codex/event_mapper.py @@ -0,0 +1,96 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +# -*- coding: utf-8 -*- + +from typing import Any, Optional + +from shared.logger import setup_logger +from shared.models import ResponsesAPIEmitter +from shared.status import TaskStatus + +logger = setup_logger("codex_event_mapper") + + +class CodeXEventMapper: + """Translate Codex SDK notifications to Wegent Responses API events.""" + + def __init__(self, emitter: ResponsesAPIEmitter): + self.emitter = emitter + self.final_text = "" + self.usage: Optional[dict[str, Any]] = None + self._saw_delta = False + + async def handle(self, event: Any) -> Optional[TaskStatus]: + method = getattr(event, "method", "") + payload = getattr(event, "payload", None) + + if method == "item/agentMessage/delta": + delta = str(getattr(payload, "delta", "") or "") + if delta: + self.final_text += delta + self._saw_delta = True + await self.emitter.text_delta(delta) + return None + + if method == "item/completed": + self._handle_completed_item(payload) + return None + + if method == "thread/tokenUsage/updated": + self._handle_usage(payload) + return None + + if method == "turn/completed": + return await self._handle_turn_completed(payload) + + return None + + def _handle_completed_item(self, payload: Any) -> None: + item = getattr(payload, "item", None) + root = getattr(item, "root", None) + if getattr(root, "type", None) != "agentMessage": + return + text = str(getattr(root, "text", "") or "") + if text and not self._saw_delta: + self.final_text = text + + def _handle_usage(self, payload: Any) -> None: + token_usage = getattr(payload, "token_usage", None) + if token_usage is None: + token_usage = getattr(payload, "tokenUsage", None) + if token_usage is None: + return + try: + self.usage = token_usage.model_dump(mode="json", by_alias=True) + except AttributeError: + self.usage = token_usage if isinstance(token_usage, dict) else None + + async def _handle_turn_completed(self, payload: Any) -> TaskStatus: + turn = getattr(payload, "turn", None) + status_value = getattr(getattr(turn, "status", None), "value", None) + + if status_value == "completed": + await self.emitter.done(content=self.final_text, usage=self.usage) + return TaskStatus.COMPLETED + + if status_value == "interrupted": + await self.emitter.incomplete(reason="cancelled", content=self.final_text) + return TaskStatus.CANCELLED + + error_message = self._extract_error_message(turn) + await self.emitter.error(error_message, "execution_error") + return TaskStatus.FAILED + + @staticmethod + def _extract_error_message(turn: Any) -> str: + error = getattr(turn, "error", None) + if error is None: + return "Codex turn failed" + message = getattr(error, "message", None) + if message: + return str(message) + return str(error) diff --git a/executor/agents/codex/session_store.py b/executor/agents/codex/session_store.py new file mode 100644 index 0000000000..f58fbddad9 --- /dev/null +++ b/executor/agents/codex/session_store.py @@ -0,0 +1,61 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +# -*- coding: utf-8 -*- + +import json +from pathlib import Path +from typing import Optional + +from executor.config import config + +from shared.logger import setup_logger + +logger = setup_logger("codex_session_store") + + +class CodeXSessionStore: + """Persist Codex thread IDs by task and bot.""" + + def __init__(self, root: Optional[Path] = None): + self.root = root or Path(config.WEGENT_EXECUTOR_HOME).expanduser() / "codex" + self.root.mkdir(parents=True, exist_ok=True) + + def load( + self, task_id: int, bot_id: Optional[int], new_session: bool + ) -> Optional[str]: + path = self._path(task_id, bot_id) + if new_session: + self.delete(task_id, bot_id) + return None + if not path.is_file(): + return None + try: + data = json.loads(path.read_text(encoding="utf-8")) + except (OSError, ValueError) as exc: + logger.warning("Failed to read Codex session file %s: %s", path, exc) + return None + thread_id = data.get("thread_id") + return str(thread_id) if thread_id else None + + def save(self, task_id: int, bot_id: Optional[int], thread_id: str) -> None: + path = self._path(task_id, bot_id) + payload = {"task_id": task_id, "bot_id": bot_id, "thread_id": thread_id} + try: + path.write_text(json.dumps(payload), encoding="utf-8") + except OSError as exc: + logger.warning("Failed to save Codex session file %s: %s", path, exc) + + def delete(self, task_id: int, bot_id: Optional[int]) -> None: + path = self._path(task_id, bot_id) + try: + path.unlink(missing_ok=True) + except OSError as exc: + logger.warning("Failed to delete Codex session file %s: %s", path, exc) + + def _path(self, task_id: int, bot_id: Optional[int]) -> Path: + bot_segment = str(bot_id) if bot_id is not None else "default" + return self.root / f"task-{task_id}-bot-{bot_segment}.json" diff --git a/executor/agents/env_value.py b/executor/agents/env_value.py new file mode 100644 index 0000000000..6ffbfbc2d7 --- /dev/null +++ b/executor/agents/env_value.py @@ -0,0 +1,50 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +# -*- coding: utf-8 -*- + +import os +import re +from typing import Protocol + +from shared.logger import setup_logger +from shared.utils.crypto import decrypt_sensitive_data, is_data_encrypted + +logger = setup_logger("executor_env_value") + + +class LoggerLike(Protocol): + def info(self, message: str) -> None: ... + + def warning(self, message: str) -> None: ... + + +def resolve_env_value(value: str, *, logger_override: LoggerLike | None = None) -> str: + """Resolve environment placeholders and encrypted sensitive values.""" + active_logger = logger_override or logger + if not value: + return value + + env_var_pattern = r"^\$\{([^}]+)\}$" + match = re.match(env_var_pattern, value) + if match: + var_name = match.group(1) + resolved = os.environ.get(var_name, "") + if resolved: + active_logger.info(f"Resolved env var ${{{var_name}}} from environment") + else: + active_logger.warning(f"Environment variable {var_name} not found") + return resolved + + if is_data_encrypted(value): + decrypted = decrypt_sensitive_data(value) + if decrypted: + active_logger.info("Decrypted sensitive data") + return decrypted + active_logger.warning("Failed to decrypt sensitive data") + return "" + + return value diff --git a/executor/agents/factory.py b/executor/agents/factory.py index c735fd026f..2010a5ccc0 100644 --- a/executor/agents/factory.py +++ b/executor/agents/factory.py @@ -11,8 +11,10 @@ from executor.agents.agno.agno_agent import AgnoAgent from executor.agents.base import Agent from executor.agents.claude_code.claude_code_agent import ClaudeCodeAgent +from executor.agents.codex import CodeXAgent, is_codex_compatible_model from executor.agents.dify.dify_agent import DifyAgent from executor.agents.image_validator.image_validator_agent import ImageValidatorAgent + from shared.logger import setup_logger from shared.models import ResponsesAPIEmitter from shared.models.execution import ExecutionRequest @@ -32,6 +34,7 @@ class AgentFactory: _agents = { "claudecode": ClaudeCodeAgent, + "codex": CodeXAgent, "agno": AgnoAgent, "dify": DifyAgent, "imagevalidator": ImageValidatorAgent, @@ -62,6 +65,68 @@ def get_agent( logger.error(f"Unsupported agent type: {agent_type}") return None + @classmethod + def get_code_agent( + cls, + task_data: ExecutionRequest, + emitter: ResponsesAPIEmitter, + ) -> Agent: + """Create the local code agent for a task based on resolved model config.""" + if is_codex_compatible_model(task_data.model_config): + logger.info( + "Routing task %s to CodeXAgent for model %s", + task_data.task_id, + task_data.model_config.get("model_id"), + ) + return CodeXAgent(task_data, emitter=emitter) + return ClaudeCodeAgent(task_data, emitter=emitter) + + @classmethod + def get_active_task_ids(cls) -> list[int]: + """Return active task IDs across agents that expose active sessions.""" + active_ids: set[int] = set() + for agent_class in cls._agents.values(): + getter = getattr(agent_class, "get_active_task_ids", None) + if not getter: + continue + try: + active_ids.update(int(task_id) for task_id in getter()) + except Exception as exc: + logger.warning( + "Failed to read active task IDs from %s: %s", + agent_class.__name__, + exc, + ) + return sorted(active_ids) + + @classmethod + async def cleanup_task_clients(cls, task_id: int) -> int: + """Cleanup lingering clients for a task across code agents.""" + cleaned = 0 + for agent_class in (ClaudeCodeAgent, CodeXAgent): + cleanup = getattr(agent_class, "cleanup_task_clients", None) + if not cleanup: + continue + try: + cleaned += await cleanup(task_id) + except Exception as exc: + logger.warning( + "Failed to cleanup %s clients for task %s: %s", + agent_class.__name__, + task_id, + exc, + ) + return cleaned + + @classmethod + async def close_all_clients(cls) -> None: + """Close active clients across local code agents.""" + for agent_class in (ClaudeCodeAgent, CodeXAgent): + closer = getattr(agent_class, "close_all_clients", None) + if not closer: + continue + await closer() + @classmethod def is_external_api_agent(cls, agent_type: str) -> bool: """ diff --git a/executor/config/config.py b/executor/config/config.py index f2b6c4585f..89d77e6f59 100644 --- a/executor/config/config.py +++ b/executor/config/config.py @@ -144,6 +144,13 @@ def get_workspace_root() -> str: "WEGENT_MCP_URL", f"{WEGENT_BACKEND_URL}/api/mcp/system" ) +# Codex Agent configuration. The binary is intentionally configurable because +# production local devices preinstall a vetted Codex version. +CODEX_BINARY_PATH = os.environ.get("CODEX_BINARY_PATH") or os.environ.get( + "CODEX_BIN", "codex" +) +CODEX_MODEL_PROVIDER = os.environ.get("CODEX_MODEL_PROVIDER", "wecode-openai") + def get_wegent_mcp_url() -> str: """Get the URL for the Wegent MCP server. diff --git a/executor/executor.spec b/executor/executor.spec index ea4878d1f7..83ba39e4e9 100644 --- a/executor/executor.spec +++ b/executor/executor.spec @@ -16,96 +16,112 @@ binaries = [] hiddenimports = [] # Add shared directory to Python path for proper module import -shared_path = os.path.join(os.path.dirname(os.getcwd()), 'shared') +shared_path = os.path.join(os.path.dirname(os.getcwd()), "shared") if os.path.exists(shared_path): sys.path.insert(0, shared_path) # Collect all submodules for critical dependencies -hiddenimports += collect_submodules('fastapi') -hiddenimports += collect_submodules('uvicorn') -hiddenimports += collect_submodules('pydantic') -hiddenimports += collect_submodules('anthropic') -hiddenimports += collect_submodules('claude_agent_sdk') -hiddenimports += collect_submodules('agno') -hiddenimports += collect_submodules('openai') -hiddenimports += collect_submodules('mcp') -hiddenimports += collect_submodules('sqlalchemy') -hiddenimports += collect_submodules('httpx') -hiddenimports += collect_submodules('git') -hiddenimports += collect_submodules('cryptography') -hiddenimports += collect_submodules('requests') -hiddenimports += collect_submodules('pymysql') +hiddenimports += collect_submodules("fastapi") +hiddenimports += collect_submodules("uvicorn") +hiddenimports += collect_submodules("pydantic") +hiddenimports += collect_submodules("anthropic") +hiddenimports += collect_submodules("claude_agent_sdk") +hiddenimports += collect_submodules("agno") +hiddenimports += collect_submodules("openai") +hiddenimports += collect_submodules("openai_codex") +hiddenimports += collect_submodules("mcp") +hiddenimports += collect_submodules("sqlalchemy") +hiddenimports += collect_submodules("httpx") +hiddenimports += collect_submodules("git") +hiddenimports += collect_submodules("cryptography") +hiddenimports += collect_submodules("requests") +hiddenimports += collect_submodules("pymysql") # LiteLLM and tiktoken (required for OpenAI Responses API types) -hiddenimports += collect_submodules('litellm') -hiddenimports += collect_submodules('tiktoken') -hiddenimports += collect_submodules('tiktoken_ext') +hiddenimports += collect_submodules("litellm") +hiddenimports += collect_submodules("tiktoken") +hiddenimports += collect_submodules("tiktoken_ext") # MCP server dependencies (starlette is required by mcp.server.sse, mcp.server.websocket, mcp.server.auth) -hiddenimports += collect_submodules('starlette') -hiddenimports += collect_submodules('sse_starlette') -hiddenimports += collect_submodules('anyio') -hiddenimports += collect_submodules('sniffio') -hiddenimports += collect_submodules('httpcore') -hiddenimports += collect_submodules('h11') +hiddenimports += collect_submodules("starlette") +hiddenimports += collect_submodules("sse_starlette") +hiddenimports += collect_submodules("anyio") +hiddenimports += collect_submodules("sniffio") +hiddenimports += collect_submodules("httpcore") +hiddenimports += collect_submodules("h11") # OpenTelemetry packages -hiddenimports += collect_submodules('opentelemetry') -hiddenimports += collect_submodules('opentelemetry.sdk') -hiddenimports += collect_submodules('opentelemetry.exporter') -hiddenimports += collect_submodules('opentelemetry.instrumentation') -hiddenimports += collect_submodules('opentelemetry.instrumentation.fastapi') -hiddenimports += collect_submodules('opentelemetry.instrumentation.httpx') -hiddenimports += collect_submodules('opentelemetry.instrumentation.requests') -hiddenimports += collect_submodules('opentelemetry.instrumentation.system_metrics') +hiddenimports += collect_submodules("opentelemetry") +hiddenimports += collect_submodules("opentelemetry.sdk") +hiddenimports += collect_submodules("opentelemetry.exporter") +hiddenimports += collect_submodules("opentelemetry.instrumentation") +hiddenimports += collect_submodules("opentelemetry.instrumentation.fastapi") +hiddenimports += collect_submodules("opentelemetry.instrumentation.httpx") +hiddenimports += collect_submodules("opentelemetry.instrumentation.requests") +hiddenimports += collect_submodules("opentelemetry.instrumentation.system_metrics") # Collect shared module submodules if os.path.exists(shared_path): - hiddenimports += collect_submodules('shared') + hiddenimports += collect_submodules("shared") # Add jaraco namespace packages for pkg_resources compatibility hiddenimports += [ - 'jaraco', - 'jaraco.classes', - 'jaraco.context', - 'jaraco.functools', - 'jaraco.text', - 'platformdirs', + "jaraco", + "jaraco.classes", + "jaraco.context", + "jaraco.functools", + "jaraco.text", + "platformdirs", ] # Collect Rich Unicode data modules (fix for Unicode character handling) -hiddenimports += collect_submodules('rich._unicode_data') +hiddenimports += collect_submodules("rich._unicode_data") # Collect executor.wecode submodules (WeCode-specific extensions) -hiddenimports += collect_submodules('executor.wecode') +hiddenimports += collect_submodules("executor.wecode") # Explicitly add executor.wecode modules for PyInstaller hiddenimports += [ - 'executor.wecode', - 'executor.wecode.api', - 'executor.wecode.api.claude_hooks', - 'executor.wecode.config', - 'executor.wecode.config.config', + "executor.wecode", + "executor.wecode.api", + "executor.wecode.api.claude_hooks", + "executor.wecode.config", + "executor.wecode.config.config", ] # Additional hidden imports hiddenimports += [ - 'uvicorn.logging', - 'uvicorn.loops', - 'uvicorn.loops.auto', - 'uvicorn.protocols', - 'uvicorn.protocols.http', - 'uvicorn.protocols.http.auto', - 'uvicorn.protocols.websockets', - 'uvicorn.protocols.websockets.auto', - 'uvicorn.lifespan', - 'uvicorn.lifespan.on', + "uvicorn.logging", + "uvicorn.loops", + "uvicorn.loops.auto", + "uvicorn.protocols", + "uvicorn.protocols.http", + "uvicorn.protocols.http.auto", + "uvicorn.protocols.websockets", + "uvicorn.protocols.websockets.auto", + "uvicorn.lifespan", + "uvicorn.lifespan.on", ] # Collect package data -for package in ['fastapi', 'uvicorn', 'pydantic', 'anthropic', 'claude_agent_sdk', - 'agno', 'openai', 'mcp', 'sqlalchemy', 'httpx', 'starlette', 'sse_starlette', 'rich', - 'litellm', 'tiktoken']: +for package in [ + "fastapi", + "uvicorn", + "pydantic", + "anthropic", + "claude_agent_sdk", + "agno", + "openai", + "openai_codex", + "mcp", + "sqlalchemy", + "httpx", + "starlette", + "sse_starlette", + "rich", + "litellm", + "tiktoken", +]: try: tmp_datas, tmp_binaries, tmp_hiddenimports = collect_all(package) datas += tmp_datas @@ -115,7 +131,7 @@ for package in ['fastapi', 'uvicorn', 'pydantic', 'anthropic', 'claude_agent_sdk pass a = Analysis( - ['main.py'], + ["main.py"], pathex=[shared_path], binaries=binaries, datas=datas, @@ -139,7 +155,7 @@ exe = EXE( a.zipfiles, a.datas, [], - name='executor', + name="executor", debug=False, bootloader_ignore_signals=False, strip=False, diff --git a/executor/modes/local/runner.py b/executor/modes/local/runner.py index 592db6fa07..3fdd247192 100644 --- a/executor/modes/local/runner.py +++ b/executor/modes/local/runner.py @@ -36,6 +36,7 @@ from executor.modes.local.websocket_client import WebSocketClient from executor.services.updater.process_manager import ProcessManager from executor.version import get_version + from shared.logger import setup_logger from shared.models import ResponsesAPIEmitter from shared.models.execution import ExecutionRequest @@ -364,25 +365,24 @@ async def close_task_session(self, task_id: int) -> None: f"Task {task_id} is not currently running, attempting to cleanup client" ) - # Always try to cleanup ClaudeCode client for this task_id + # Always try to cleanup lingering code-agent clients for this task_id try: - from executor.agents.claude_code.claude_code_agent import ClaudeCodeAgent + from executor.agents.factory import AgentFactory logger.info( - f"[Runner] About to call cleanup_task_clients for task_id={task_id}" + f"[Runner] About to cleanup code-agent clients for task_id={task_id}" ) - # Cleanup any lingering client for this task_id - cleaned = await ClaudeCodeAgent.cleanup_task_clients(task_id) + cleaned = await AgentFactory.cleanup_task_clients(task_id) logger.info(f"[Runner] cleanup_task_clients returned: cleaned={cleaned}") if cleaned > 0: logger.info( - f"Cleaned up {cleaned} ClaudeCode client(s) for task {task_id}" + f"Cleaned up {cleaned} code-agent client(s) for task {task_id}" ) else: - logger.info(f"No ClaudeCode clients found for task {task_id}") + logger.info(f"No code-agent clients found for task {task_id}") except Exception as e: logger.error( - f"Error cleaning up ClaudeCode clients for task {task_id}: {e}", + f"Error cleaning up code-agent clients for task {task_id}: {e}", exc_info=True, ) @@ -476,11 +476,11 @@ async def _run_task_wrapper(self, task_data: ExecutionRequest) -> None: self._running_tasks.pop(task_id, None) async def _on_client_created(self, task_id: int) -> None: - """Callback for when Claude client is created (sends heartbeat update).""" + """Callback for when a code-agent client is created.""" try: await self.websocket_client.send_heartbeat() logger.info( - f"[TaskStart] Sent heartbeat after Claude client created for task {task_id}" + f"[TaskStart] Sent heartbeat after code-agent client created for task {task_id}" ) except Exception as e: logger.warning(f"[TaskStart] Failed to send heartbeat: {e}") @@ -537,13 +537,13 @@ async def _execute_task(self, task_data: ExecutionRequest) -> None: subtask_id = task_data.subtask_id logger.info(f"Executing task: task_id={task_id}, subtask_id={subtask_id}") - from executor.agents.claude_code.claude_code_agent import ClaudeCodeAgent + from executor.agents.factory import AgentFactory # Create WebSocket emitter for local mode ws_emitter = self._create_emitter(task_id, subtask_id) # Create and initialize agent with WebSocket emitter - agent = ClaudeCodeAgent(task_data, emitter=ws_emitter) + agent = AgentFactory.get_code_agent(task_data, emitter=ws_emitter) # Register agent in running tasks if task_id in self._running_tasks: @@ -570,7 +570,7 @@ async def _execute_task(self, task_data: ExecutionRequest) -> None: await ws_emitter.error(error_msg, "pre_execute_error") return - # Execute the task (Claude client will be created inside, triggering heartbeat callback) + # Execute the task (agent client creation triggers heartbeat callback) result = await agent.execute_async() logger.info(f"Task execution completed: task_id={task_id}") diff --git a/executor/modes/local/websocket_client.py b/executor/modes/local/websocket_client.py index abd40c3bd1..6cf7fb181f 100644 --- a/executor/modes/local/websocket_client.py +++ b/executor/modes/local/websocket_client.py @@ -41,11 +41,11 @@ from typing import TYPE_CHECKING, Any, Callable, Dict, Optional import socketio - from executor.config import config from executor.modes.local.capabilities import GlobalCapabilityReporter from executor.platform_compat import get_permissions_manager from executor.version import get_version + from shared.logger import setup_logger if TYPE_CHECKING: @@ -530,10 +530,10 @@ async def send_heartbeat(self, timeout: float = 5.0) -> bool: raise ConnectionError("WebSocket not connected") try: - # Get active task IDs from ClaudeCodeAgent - from executor.agents.claude_code.claude_code_agent import ClaudeCodeAgent + # Get active task IDs from all local code agents. + from executor.agents.factory import AgentFactory - running_task_ids = ClaudeCodeAgent.get_active_task_ids() + running_task_ids = AgentFactory.get_active_task_ids() heartbeat_data = { "device_id": self.device_id, diff --git a/executor/pyproject.toml b/executor/pyproject.toml index 65c14d5291..ffafee031b 100644 --- a/executor/pyproject.toml +++ b/executor/pyproject.toml @@ -20,8 +20,12 @@ dependencies = [ "google-genai==1.55.0", "httpx[socks]==0.28.1", "mcp==1.12.4", + # The Python SDK currently depends on a platform-specific Python CLI binary + # package that has no manylinux wheel. Linux images install the SDK with + # --no-deps and use the preinstalled npm Codex binary instead. + "openai-codex==0.1.0b2; platform_system != 'Linux'", "openai==1.107.1", - "pydantic==2.11.2", + "pydantic>=2.12,<2.13", "pymysql==1.1.0", "requests==2.31.0", # Pin charset-normalizer < 3.4.5 and chardet < 7.0.0 to avoid mypyc dynamic module issues with PyInstaller diff --git a/executor/services/agent_service.py b/executor/services/agent_service.py index 1652f086c5..34155b36e0 100644 --- a/executor/services/agent_service.py +++ b/executor/services/agent_service.py @@ -15,8 +15,8 @@ from executor.agents import Agent, AgentFactory from executor.agents.agno.agno_agent import AgnoAgent -from executor.agents.claude_code.claude_code_agent import ClaudeCodeAgent from executor.config import config + from shared.logger import setup_logger from shared.models import EmitterBuilder, TransportFactory from shared.models.execution import ExecutionRequest @@ -130,7 +130,10 @@ def create_agent(self, task_data: ExecutionRequest) -> Optional[Agent]: .build() ) - agent = AgentFactory.get_agent(shell_type, task_data, emitter) + if shell_type.lower() == "claudecode": + agent = AgentFactory.get_code_agent(task_data, emitter) + else: + agent = AgentFactory.get_agent(shell_type, task_data, emitter) if not agent: logger.error( @@ -484,13 +487,13 @@ def list_sessions(self) -> List[Dict[str, Any]]: for task_id, session in self._agent_sessions.items() ] - async def _close_claude_sessions(self) -> Tuple[TaskStatus, Optional[str]]: + async def _close_code_agent_sessions(self) -> Tuple[TaskStatus, Optional[str]]: try: - await ClaudeCodeAgent.close_all_clients() - logger.info("Closed all Claude client connections") + await AgentFactory.close_all_clients() + logger.info("Closed all code-agent client connections") return TaskStatus.SUCCESS, None except Exception as e: - logger.exception("Error closing Claude client connections") + logger.exception("Error closing code-agent client connections") return TaskStatus.FAILED, str(e) async def _close_agno_sessions(self) -> Tuple[TaskStatus, Optional[str]]: @@ -508,13 +511,13 @@ async def close_all_agent_sessions(self) -> Tuple[TaskStatus, str, Dict[str, str error_detail: Dict[str, str] = {} agent_types = {s.agent.get_name() for s in self._agent_sessions.values()} - if "ClaudeCode" in agent_types: - status, msg = await self._close_claude_sessions() + if {"ClaudeCode", "CodeX"} & agent_types: + status, msg = await self._close_code_agent_sessions() if status == TaskStatus.SUCCESS: - results.append("Claude") + results.append("Code") else: - errors.append("Claude") - error_detail["ClaudeCode"] = msg or "Unknown error" + errors.append("Code") + error_detail["CodeAgent"] = msg or "Unknown error" if "Agno" in agent_types: status, msg = await self._close_agno_sessions() diff --git a/executor/tests/agents/test_codex_config_builder.py b/executor/tests/agents/test_codex_config_builder.py new file mode 100644 index 0000000000..108dcead52 --- /dev/null +++ b/executor/tests/agents/test_codex_config_builder.py @@ -0,0 +1,108 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +from executor.agents.codex.config_builder import ( + build_codex_config, + is_codex_compatible_model, +) + + +def test_is_codex_compatible_model_requires_openai_responses(): + assert is_codex_compatible_model({"model": "openai", "api_format": "responses"}) + assert is_codex_compatible_model({"model": "openai", "apiFormat": "responses"}) + assert is_codex_compatible_model( + {"model": "openai", "protocol": "openai-responses"} + ) + assert not is_codex_compatible_model( + {"model": "openai", "api_format": "chat/completions"} + ) + assert not is_codex_compatible_model({"model": "claude", "api_format": "responses"}) + + +def test_build_codex_config_maps_provider_and_reasoning(): + config = build_codex_config( + { + "model": "openai", + "model_id": "gpt-5.5", + "base_url": "http://127.0.0.1:3456/v1", + "api_key": "wecode-proxy-placeholder", + "api_format": "responses", + "reasoning": {"effort": "high", "summary": "concise"}, + } + ) + + assert config.model == "gpt-5.5" + assert config.model_provider == "wecode-openai" + assert "forced_login_method=api" in config.config_overrides + assert "model_provider=wecode-openai" in config.config_overrides + assert ( + "model_providers.wecode-openai.base_url=http://127.0.0.1:3456/v1" + in config.config_overrides + ) + assert "model_providers.wecode-openai.wire_api=responses" in config.config_overrides + assert ( + "model_providers.wecode-openai.experimental_bearer_token=wecode-proxy-placeholder" + in config.config_overrides + ) + assert config.thread_config == { + "model_reasoning_effort": "high", + "model_reasoning_summary": "concise", + } + assert config.effort == "high" + assert config.summary == "concise" + + +def test_build_codex_config_resolves_api_key_env_placeholder(monkeypatch): + monkeypatch.setenv("WECODE_USER_API_KEY", "sk-from-executor-env") + + config = build_codex_config( + { + "model": "openai", + "model_id": "gpt-5.5", + "base_url": "http://127.0.0.1:3456/v1", + "api_key": "${WECODE_USER_API_KEY}", + "api_format": "responses", + } + ) + + assert ( + "model_providers.wecode-openai.experimental_bearer_token=sk-from-executor-env" + in config.config_overrides + ) + + +def test_build_codex_config_splits_nested_reasoning_summary(): + config = build_codex_config( + { + "model": "openai", + "model_id": "gpt-5.5", + "base_url": "http://127.0.0.1:3456/v1", + "api_key": "wecode-proxy-placeholder", + "api_format": "responses", + "reasoning": {"effort": {"summary": "detailed"}}, + } + ) + + assert config.thread_config == {"model_reasoning_summary": "detailed"} + assert config.effort is None + assert config.summary == "detailed" + + +def test_build_codex_config_filters_invalid_reasoning_values(): + config = build_codex_config( + { + "model": "openai", + "model_id": "gpt-5.5", + "base_url": "http://127.0.0.1:3456/v1", + "api_key": "wecode-proxy-placeholder", + "api_format": "responses", + "reasoning": {"effort": "detailed", "summary": "verbose"}, + } + ) + + assert config.thread_config == {} + assert config.effort is None + assert config.summary is None diff --git a/executor/tests/agents/test_codex_event_mapper.py b/executor/tests/agents/test_codex_event_mapper.py new file mode 100644 index 0000000000..8f25a5286a --- /dev/null +++ b/executor/tests/agents/test_codex_event_mapper.py @@ -0,0 +1,66 @@ +#!/usr/bin/env python + +# SPDX-FileCopyrightText: 2025 Weibo, Inc. +# +# SPDX-License-Identifier: Apache-2.0 + +from types import SimpleNamespace +from unittest.mock import AsyncMock + +import pytest +from executor.agents.codex.event_mapper import CodeXEventMapper + +from shared.status import TaskStatus + + +@pytest.mark.asyncio +async def test_codex_event_mapper_streams_delta_and_completion(): + emitter = SimpleNamespace( + text_delta=AsyncMock(), + done=AsyncMock(), + incomplete=AsyncMock(), + error=AsyncMock(), + ) + mapper = CodeXEventMapper(emitter) + + await mapper.handle( + SimpleNamespace( + method="item/agentMessage/delta", + payload=SimpleNamespace(delta="Hello"), + ) + ) + status = await mapper.handle( + SimpleNamespace( + method="turn/completed", + payload=SimpleNamespace( + turn=SimpleNamespace(status=SimpleNamespace(value="completed")) + ), + ) + ) + + assert status == TaskStatus.COMPLETED + emitter.text_delta.assert_awaited_once_with("Hello") + emitter.done.assert_awaited_once_with(content="Hello", usage=None) + + +@pytest.mark.asyncio +async def test_codex_event_mapper_reports_interrupted_turn(): + emitter = SimpleNamespace( + text_delta=AsyncMock(), + done=AsyncMock(), + incomplete=AsyncMock(), + error=AsyncMock(), + ) + mapper = CodeXEventMapper(emitter) + + status = await mapper.handle( + SimpleNamespace( + method="turn/completed", + payload=SimpleNamespace( + turn=SimpleNamespace(status=SimpleNamespace(value="interrupted")) + ), + ) + ) + + assert status == TaskStatus.CANCELLED + emitter.incomplete.assert_awaited_once_with(reason="cancelled", content="") diff --git a/executor/tests/agents/test_factory.py b/executor/tests/agents/test_factory.py index c6a10d852b..7bd5a572d3 100644 --- a/executor/tests/agents/test_factory.py +++ b/executor/tests/agents/test_factory.py @@ -5,11 +5,12 @@ from unittest.mock import AsyncMock, MagicMock, patch import pytest - from executor.agents.agno.agno_agent import AgnoAgent from executor.agents.claude_code.claude_code_agent import ClaudeCodeAgent +from executor.agents.codex import CodeXAgent from executor.agents.dify.dify_agent import DifyAgent from executor.agents.factory import AgentFactory + from shared.models.execution import ExecutionRequest @@ -129,8 +130,37 @@ def test_get_empty_agent_type(self, task_data, mock_emitter): def test_agents_registry(self): """Test that agents registry contains expected agents""" assert "claudecode" in AgentFactory._agents + assert "codex" in AgentFactory._agents assert "agno" in AgentFactory._agents assert "dify" in AgentFactory._agents assert AgentFactory._agents["claudecode"] == ClaudeCodeAgent + assert AgentFactory._agents["codex"] == CodeXAgent assert AgentFactory._agents["agno"] == AgnoAgent assert AgentFactory._agents["dify"] == DifyAgent + + def test_get_code_agent_routes_claude_to_claudecode(self, task_data, mock_emitter): + """Claude models keep using the stable ClaudeCodeAgent path.""" + task_data.model_config = { + "model": "claude", + "model_id": "claude-3-5-sonnet-20241022", + } + + agent = AgentFactory.get_code_agent(task_data, mock_emitter) + + assert isinstance(agent, ClaudeCodeAgent) + + def test_get_code_agent_routes_openai_responses_to_codex( + self, task_data, mock_emitter + ): + """OpenAI Responses models use CodeXAgent.""" + task_data.model_config = { + "model": "openai", + "model_id": "gpt-5.5", + "api_format": "responses", + "base_url": "http://127.0.0.1:3456/v1", + "api_key": "token", + } + + agent = AgentFactory.get_code_agent(task_data, mock_emitter) + + assert isinstance(agent, CodeXAgent) diff --git a/executor/tests/agents/test_project_workspace_paths.py b/executor/tests/agents/test_project_workspace_paths.py index 04985deb5f..402c690e7f 100644 --- a/executor/tests/agents/test_project_workspace_paths.py +++ b/executor/tests/agents/test_project_workspace_paths.py @@ -9,6 +9,7 @@ from executor.agents.claude_code.claude_code_agent import ClaudeCodeAgent from executor.agents.claude_code.session_manager import SessionManager from executor.agents.claude_code.skill_deployer import setup_coordinate_mode +from executor.agents.codex.codex_agent import CodeXAgent from shared.models.execution import ExecutionRequest @@ -173,6 +174,31 @@ def test_initial_standalone_chat_prepares_request_named_cwd(tmp_path, monkeypatc set_session_root.assert_called_once_with(1003, str(executor_home / "sessions")) +async def test_codex_pre_execute_uses_project_workspace_path(tmp_path): + project_path = tmp_path / "workspace" / "projects" / "hello" + request = ExecutionRequest( + task_id=1546, + subtask_id=1970, + workspace_source="local_path", + project_workspace_path=str(project_path), + model_config={ + "model": "openai", + "model_id": "gpt-5.5", + "base_url": "https://copilot.weibo.com/v1", + "api_key": "token", + "api_format": "responses", + }, + ) + agent = CodeXAgent(request, MagicMock()) + + status, error = await agent.pre_execute() + + assert error is None + assert agent.project_path == str(project_path) + assert project_path.exists() + assert status.name == "SUCCESS" + + def test_initial_standalone_chat_coordinate_mode_keeps_claude_out_of_chat_dir( tmp_path, monkeypatch, diff --git a/executor/tests/modes/local/test_global_capabilities.py b/executor/tests/modes/local/test_global_capabilities.py index aa4518a751..5b63e17ed0 100644 --- a/executor/tests/modes/local/test_global_capabilities.py +++ 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const client = mockClient() vi.mocked(client.get).mockResolvedValueOnce({ - total: 2, + total: 3, items: [ { id: 1, name: 'general', default_for_modes: ['chat'], is_active: true }, { id: 2, name: 'coder', default_for_modes: ['code'], is_active: true }, + { id: 3, name: 'wework', default_for_modes: ['wework'], is_active: true }, ], }) const team = await createTeamApi(client).getDefaultWorkbenchTeam() - expect(team.id).toBe(2) + expect(team.id).toBe(3) }) test('loads system skills with search params', async () => { diff --git a/wework/src/api/teams.ts b/wework/src/api/teams.ts index a1b6c3f4d4..11465a0671 100644 --- a/wework/src/api/teams.ts +++ b/wework/src/api/teams.ts @@ -20,15 +20,16 @@ export function createTeamApi(client: HttpClient) { listTeams, async getDefaultWorkbenchTeam(): Promise { const teams = (await listTeams()).filter(isActive) + const weworkTeam = teams.find(team => team.default_for_modes?.includes('wework')) const codeTeam = teams.find(team => team.default_for_modes?.includes('code')) const chatTeam = teams.find(team => team.default_for_modes?.includes('chat')) const fallback = teams[0] - if (!codeTeam && !chatTeam && !fallback) { + if (!weworkTeam && !codeTeam && !chatTeam && !fallback) { throw new Error('No active team is available') } - return codeTeam ?? chatTeam ?? fallback + return weworkTeam ?? codeTeam ?? chatTeam ?? fallback }, } } diff --git a/wework/src/lib/model-ui.test.ts b/wework/src/lib/model-ui.test.ts index b90739597e..e2ac5ddcec 100644 --- a/wework/src/lib/model-ui.test.ts +++ b/wework/src/lib/model-ui.test.ts @@ -76,4 +76,56 @@ describe('model-ui', () => { expect(minimaxGroup?.models.map(model => model.name)).toEqual(['minimax-m1']) expect(isSupportedModelFamily(deepseekModel)).toBe(true) }) + + test('sorts model options by intranet first and newer versions first', () => { + const models: UnifiedModel[] = [ + { + name: 'glm-public-5', + type: 'public', + displayName: '公网:GLM-5', + modelId: 'glm-5', + }, + { + name: 'glm-public-5.1', + type: 'public', + displayName: '公网:GLM-5.1', + modelId: 'glm-5.1', + }, + { + name: 'glm-public-5v', + type: 'public', + displayName: '公网:GLM-5v', + modelId: 'glm-5v', + }, + { + name: 'glm-public-4.7', + type: 'public', + displayName: '公网:GLM4.7', + modelId: 'glm-4.7', + }, + { + name: 'glm-intranet-5', + type: 'user', + displayName: '内网:GLM5', + modelId: 'glm-5', + }, + { + name: 'glm-intranet-5.1', + type: 'user', + displayName: '内网:GLM5.1', + modelId: 'glm-5.1', + }, + ] + + const glmGroup = groupModelsByFamily(models).find(group => group.config.id === 'glm') + + expect(glmGroup?.models.map(model => model.displayName)).toEqual([ + '内网:GLM5.1', + '内网:GLM5', + '公网:GLM-5.1', + '公网:GLM-5', + '公网:GLM-5v', + '公网:GLM4.7', + ]) + }) }) diff --git a/wework/src/lib/model-ui.ts b/wework/src/lib/model-ui.ts index ed70f8a0cd..6107636ae4 100644 --- a/wework/src/lib/model-ui.ts +++ b/wework/src/lib/model-ui.ts @@ -179,7 +179,7 @@ function inferRegion(model: UnifiedModel): string | undefined { const explicit = getConfigUi(model).region if (typeof explicit === 'string' && explicit.trim()) return explicit.trim() - const text = [model.displayName, model.name].filter(Boolean).join(' ') + const text = [model.displayName, model.name, model.modelId].filter(Boolean).join(' ') if (text.includes('海外') || /overseas/i.test(text)) return 'overseas' if (text.includes('公网') || /public/i.test(text)) return 'public' if (text.includes('内网') || /intranet|internal/i.test(text)) return 'intranet' @@ -332,6 +332,31 @@ export function normalizeModelOptions( ) } +function regionPriority(region?: string): number { + if (region === 'intranet') return 0 + if (region === 'public') return 1 + if (region === 'overseas') return 2 + return 3 +} + +function extractVersionParts(label: string): number[] { + return [...label.matchAll(/\d+/g)].map(match => Number.parseInt(match[0], 10)) +} + +function compareVersionDesc(leftLabel: string, rightLabel: string): number { + const leftParts = extractVersionParts(leftLabel) + const rightParts = extractVersionParts(rightLabel) + const maxLength = Math.max(leftParts.length, rightParts.length) + + for (let index = 0; index < maxLength; index += 1) { + const leftPart = leftParts[index] ?? 0 + const rightPart = rightParts[index] ?? 0 + if (leftPart !== rightPart) return rightPart - leftPart + } + + return 0 +} + export function groupModelsByFamily(models: UnifiedModel[]) { const groups = new Map() for (const model of models) { @@ -345,7 +370,12 @@ export function groupModelsByFamily(models: UnifiedModel[]) { models: [...familyModels].sort((a, b) => { const left = getModelUiMetadata(a) const right = getModelUiMetadata(b) - return left.sortOrder - right.sortOrder || left.modelLabel.localeCompare(right.modelLabel) + return ( + regionPriority(left.region) - regionPriority(right.region) || + compareVersionDesc(left.modelLabel, right.modelLabel) || + left.sortOrder - right.sortOrder || + left.modelLabel.localeCompare(right.modelLabel) + ) }), })) .sort((a, b) => {