diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml index fd9a7dd42..0fc6b8195 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yml +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -12,7 +12,7 @@ body: id: version attributes: label: What version of eigent are you using? - placeholder: E.g., 0.0.68 + placeholder: E.g., 0.0.71 validations: required: true diff --git a/.vscode/settings.json b/.vscode/settings.json index fa6153c78..01a3e2ec6 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -12,5 +12,11 @@ ], "cSpell.words": [ "Eigent" + ], + "i18n-ally.localesPaths": [ + "backend/lang", + "server/lang", + "src/i18n", + "src/i18n/locales" ] } diff --git a/README.md b/README.md index dc45f91f8..f97816d3f 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,7 @@ [![Wechat][wechat-image]][wechat-url] [![][sponsor-shield]][sponsor-link] [![][built-with-camel]][camel-github] +[![][join-us-image]][join-us] @@ -43,6 +44,8 @@ Built on [CAMEL-AI][camel-site]'s acclaimed open-source project, our system intr
+[![][image-join-us]][join-us] +
Table of contents @@ -355,6 +358,9 @@ For more information please contact info@eigent.ai [eigent-download]: https://www.eigent.ai/download [download-shield]: https://img.shields.io/badge/Download%20Eigent-363AF5?style=plastic +[join-us]:https://eigent-ai.notion.site/eigent-ai-careers +[join-us-image]:https://img.shields.io/badge/Join%20Us-yellow?style=plastic + [camel-site]: https://www.camel-ai.org [eigent-site]: https://www.eigent.ai @@ -368,6 +374,7 @@ For more information please contact info@eigent.ai [image-star-us]: https://eigent-ai.github.io/.github/assets/star-us.gif [image-opensource]: https://eigent-ai.github.io/.github/assets/opensource.png [image-wechat]: https://eigent-ai.github.io/.github/assets/wechat.png +[image-join-us]: https://camel-ai.github.io/camel_asset/graphics/join_us.png [image-workforce]: https://eigent-ai.github.io/.github/assets/feature_dynamic_workforce.gif diff --git a/README_CN.md b/README_CN.md index 5e69f61e5..73fc41dd9 100644 --- a/README_CN.md +++ b/README_CN.md @@ -16,6 +16,7 @@ [![Wechat][wechat-image]][wechat-url] [![][sponsor-shield]][sponsor-link] [![][built-with-camel]][camel-github] +[![][join-us-image]][join-us] @@ -43,6 +44,8 @@
+[![][image-join-us]][join-us] +
目录 @@ -348,6 +351,9 @@ Eigent 基于 [CAMEL-AI.org][camel-ai-org-github] 的研究和基础设施构建 [eigent-download]: https://www.eigent.ai/download [download-shield]: https://img.shields.io/badge/Download%20Eigent-363AF5?style=plastic +[join-us]:https://eigent-ai.notion.site/eigent-ai-careers +[join-us-image]:https://img.shields.io/badge/Join%20Us-yellow?style=plastic + [camel-site]: https://www.camel-ai.org [eigent-site]: https://www.eigent.ai @@ -361,6 +367,7 @@ Eigent 基于 [CAMEL-AI.org][camel-ai-org-github] 的研究和基础设施构建 [image-star-us]: https://eigent-ai.github.io/.github/assets/star-us.gif [image-opensource]: https://eigent-ai.github.io/.github/assets/opensource.png [image-wechat]: https://eigent-ai.github.io/.github/assets/wechat.png +[image-join-us]: https://camel-ai.github.io/camel_asset/graphics/join_us.png [image-workforce]: https://eigent-ai.github.io/.github/assets/feature_dynamic_workforce.gif diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 000000000..90d74b3a7 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,30 @@ +# Security Policy + +## Supported Versions + +The following versions of Eigent are currently being supported with security updates: + +| Version | Supported | +| ------- | ------------------ | +| 0.0.x | :white_check_mark: | +| < 0.0 | :x: | + +## Reporting a Vulnerability + +If you discover a security vulnerability in Eigent, please report it responsibly: + +### How to Report +- **Email**: Send details to info@eigent.ai +- **GitHub**: Use GitHub's private security advisory feature +- **Include**: Detailed description, steps to reproduce, and potential impact + +### What to Expect +- **Response Time**: We aim to acknowledge reports within 48 hours +- **Updates**: We will provide updates on the investigation progress weekly +- **Resolution**: Critical vulnerabilities will be addressed within 7 days +- **Credit**: We will credit security researchers in our security advisories (if desired) + +### Security Disclosure Policy +- We follow responsible disclosure practices +- We request 90 days to address the vulnerability before public disclosure +- We will coordinate disclosure timing with the reporter diff --git a/backend/app/component/error_format.py b/backend/app/component/error_format.py new file mode 100644 index 000000000..a81aa2f3d --- /dev/null +++ b/backend/app/component/error_format.py @@ -0,0 +1,72 @@ +import json +import re + + +def normalize_error_to_openai_format(exception: Exception) -> tuple[str, str | None, dict | None]: + """ + Normalize error to OpenAI-style error structure. + + Args: + exception: The exception to normalize + + Returns: + tuple: (message, error_code, error_object) + """ + raw_msg = str(exception) + error_obj = None + error_code = None + message = raw_msg + + # Match "Error code: - {json}" + m = re.search(r"Error code:\s*(\d+)\s*-\s*(\{.*\})", raw_msg, re.DOTALL) + if m: + error_code = m.group(1) + try: + parsed = json.loads(m.group(2)) + err = parsed.get("error") or parsed + if isinstance(err, dict): + error_obj = { + "message": err.get("message"), + "type": err.get("type"), + "param": err.get("param"), + "code": err.get("code"), + } + if err.get("message"): + message = err.get("message") + if err.get("code"): + error_code = err.get("code") + except Exception: + pass + + # Heuristics if not parsed + if error_obj is None: + lower = raw_msg.lower() + if "invalid_api_key" in lower or "incorrect api key" in lower or "unauthorized" in lower or " 401" in lower: + error_code = "invalid_api_key" + message = "Invalid key. Validation failed." + error_obj = { + "message": message, + "type": "invalid_request_error", + "param": None, + "code": "invalid_api_key", + } + elif "model_not_found" in lower or "does not exist" in lower or " 404" in lower: + error_code = "model_not_found" + message = "Invalid model name. Validation failed." + error_obj = { + "message": message, + "type": "invalid_request_error", + "param": None, + "code": "model_not_found", + } + elif "insufficient_quota" in lower or "quota" in lower or " 429" in lower: + error_code = "insufficient_quota" + message = "You exceeded your current quota, please check your plan and billing details." + error_obj = { + "message": message, + "type": "insufficient_quota", + "param": None, + "code": "insufficient_quota", + } + + return message, error_code, error_obj diff --git a/backend/app/controller/model_controller.py b/backend/app/controller/model_controller.py index 641f73bd5..fddb30bb0 100644 --- a/backend/app/controller/model_controller.py +++ b/backend/app/controller/model_controller.py @@ -1,6 +1,8 @@ from fastapi import APIRouter from pydantic import BaseModel, Field from app.component.model_validation import create_agent +from camel.types import ModelType +from app.component.error_format import normalize_error_to_openai_format router = APIRouter(tags=["model"]) @@ -18,12 +20,29 @@ class ValidateModelRequest(BaseModel): class ValidateModelResponse(BaseModel): is_valid: bool = Field(..., description="Is valid") is_tool_calls: bool = Field(..., description="Is tool call used") + error_code: str | None = Field(None, description="Error code") + error: dict | None = Field(None, description="OpenAI-style error object") message: str = Field(..., description="Message") @router.post("/model/validate") async def validate_model(request: ValidateModelRequest): try: + # API key validation + if request.api_key is not None and str(request.api_key).strip() == "": + return ValidateModelResponse( + is_valid=False, + is_tool_calls=False, + message="Invalid key. Validation failed.", + error_code="invalid_api_key", + error={ + "message": "Invalid key. Validation failed.", + "type": "invalid_request_error", + "param": None, + "code": "invalid_api_key", + }, + ) + extra = request.extra_params or {} agent = create_agent( @@ -43,17 +62,33 @@ async def validate_model(request: ValidateModelRequest): """ ) except Exception as e: - return ValidateModelResponse(is_valid=False, is_tool_calls=False, message=str(e)) + # Normalize error to OpenAI-style error structure + message, error_code, error_obj = normalize_error_to_openai_format(e) + + return ValidateModelResponse( + is_valid=False, + is_tool_calls=False, + message=message, + error_code=error_code, + error=error_obj, + ) is_valid = bool(response) is_tool_calls = False - - if response and hasattr(response, 'info') and response.info: + + if response and hasattr(response, "info") and response.info: tool_calls = response.info.get("tool_calls", []) if tool_calls and len(tool_calls) > 0: - is_tool_calls = tool_calls[0].result == "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" - + is_tool_calls = ( + tool_calls[0].result + == "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" + ) + return ValidateModelResponse( is_valid=is_valid, is_tool_calls=is_tool_calls, - message="", + message="Validation Success" + if is_tool_calls + else "This model doesn't support tool calls. please try with another model.", + error_code=None, + error=None, ) diff --git a/backend/app/utils/agent.py b/backend/app/utils/agent.py index c10de3259..06a0a9c53 100644 --- a/backend/app/utils/agent.py +++ b/backend/app/utils/agent.py @@ -725,7 +725,7 @@ def search_agent(options: Chat): "browser_enter", "browser_visit_page", "browser_scroll", - # "browser_get_som_screenshot", + "browser_get_som_screenshot", ], ) diff --git a/backend/app/utils/toolkit/hybrid_browser_python_toolkit.py b/backend/app/utils/toolkit/hybrid_browser_python_toolkit.py index 43f889067..911a6dd87 100644 --- a/backend/app/utils/toolkit/hybrid_browser_python_toolkit.py +++ b/backend/app/utils/toolkit/hybrid_browser_python_toolkit.py @@ -326,9 +326,9 @@ class HybridBrowserPythonToolkit(BaseHybridBrowserToolkit, AbstractToolkit): async def browser_get_page_snapshot(self) -> str: return await super().browser_get_page_snapshot() - # @listen_toolkit(BaseHybridBrowserToolkit.browser_get_som_screenshot) - # async def browser_get_som_screenshot(self): - # return await super().browser_get_som_screenshot() + @listen_toolkit(BaseHybridBrowserToolkit.browser_get_som_screenshot) + async def browser_get_som_screenshot(self): + return await super().browser_get_som_screenshot() @listen_toolkit(BaseHybridBrowserToolkit.browser_get_page_links) async def browser_get_page_links(self, *, ref: List[str]) -> Dict[str, Any]: @@ -362,7 +362,7 @@ class HybridBrowserPythonToolkit(BaseHybridBrowserToolkit, AbstractToolkit): FunctionTool(browser.browser_enter), FunctionTool(browser.browser_visit_page), FunctionTool(browser.browser_scroll), - # FunctionTool(browser.browser_get_som_screenshot), + FunctionTool(browser.browser_get_som_screenshot), # FunctionTool(browser.select), # FunctionTool(browser.wait_user), ] diff --git a/backend/app/utils/toolkit/hybrid_browser_toolkit.py b/backend/app/utils/toolkit/hybrid_browser_toolkit.py index 07115020d..4846fb49e 100644 --- a/backend/app/utils/toolkit/hybrid_browser_toolkit.py +++ b/backend/app/utils/toolkit/hybrid_browser_toolkit.py @@ -461,9 +461,9 @@ class HybridBrowserToolkit(BaseHybridBrowserToolkit, AbstractToolkit): async def browser_get_page_snapshot(self) -> str: return await super().browser_get_page_snapshot() - # @listen_toolkit(BaseHybridBrowserToolkit.browser_get_som_screenshot) - # async def browser_get_som_screenshot(self, read_image: bool = False, instruction: str | None = None) -> str: - # return await super().browser_get_som_screenshot(read_image, instruction) + @listen_toolkit(BaseHybridBrowserToolkit.browser_get_som_screenshot) + async def browser_get_som_screenshot(self, read_image: bool = False, instruction: str | None = None) -> str: + return await super().browser_get_som_screenshot(read_image, instruction) @listen_toolkit(BaseHybridBrowserToolkit.browser_click) async def browser_click(self, *, ref: str) -> Dict[str, Any]: diff --git a/backend/app/utils/toolkit/terminal_toolkit.py b/backend/app/utils/toolkit/terminal_toolkit.py index 28480cb57..c4ff77faa 100644 --- a/backend/app/utils/toolkit/terminal_toolkit.py +++ b/backend/app/utils/toolkit/terminal_toolkit.py @@ -1,9 +1,7 @@ import asyncio import os -from pathlib import Path -from typing import Any, Dict from camel.toolkits.terminal_toolkit import TerminalToolkit as BaseTerminalToolkit -from app.component.command import uv +from camel.toolkits.terminal_toolkit.terminal_toolkit import _to_plain from app.component.environment import env from app.service.task import Action, ActionTerminalData, Agents, get_task_lock from app.utils.listen.toolkit_listen import listen_toolkit @@ -19,14 +17,13 @@ class TerminalToolkit(BaseTerminalToolkit, AbstractToolkit): api_task_id: str, agent_name: str | None = None, timeout: float | None = None, - shell_sessions: Dict[str, Any] | None = None, working_directory: str | None = None, - need_terminal: bool = True, - use_shell_mode: bool = True, - clone_current_env: bool = False, + use_docker_backend: bool = False, + docker_container_name: str | None = None, + session_logs_dir: str | None = None, safe_mode: bool = True, - interactive: bool = False, - log_dir: str | None = None, + allowed_commands: list[str] | None = None, + clone_current_env: bool = False, ): self.api_task_id = api_task_id if agent_name is not None: @@ -35,16 +32,26 @@ class TerminalToolkit(BaseTerminalToolkit, AbstractToolkit): working_directory = env("file_save_path", os.path.expanduser("~/.eigent/terminal/")) super().__init__( timeout=timeout, - shell_sessions=shell_sessions, working_directory=working_directory, - need_terminal=False, # Override the code that creates GUI output logs, use queue for SSE output instead - use_shell_mode=use_shell_mode, - clone_current_env=clone_current_env, + use_docker_backend=use_docker_backend, + docker_container_name=docker_container_name, + session_logs_dir=session_logs_dir, safe_mode=safe_mode, - interactive=interactive, - log_dir=log_dir, + allowed_commands=allowed_commands, + clone_current_env=clone_current_env, ) + def _write_to_log(self, log_file: str, content: str) -> None: + r"""Write content to log file with optional ANSI stripping. + + Args: + log_file (str): Path to the log file + content (str): Content to write + """ + # Convert ANSI escape sequences to plain text + super()._write_to_log(log_file, content) + self._update_terminal_output(_to_plain(content)) + def _update_terminal_output(self, output: str): task_lock = get_task_lock(self.api_task_id) # This method will be called during init. At that time, the process_task_id parameter does not exist, so it is set to be empty default @@ -61,16 +68,12 @@ class TerminalToolkit(BaseTerminalToolkit, AbstractToolkit): if hasattr(task_lock, "add_background_task"): task_lock.add_background_task(task) - def _ensure_uv_available(self) -> bool: - self.uv_path = uv() - return True - @listen_toolkit( BaseTerminalToolkit.shell_exec, - lambda _, id, command: f"id: {id}, command: {command}", + lambda _, id, command, block=True: f"id: {id}, command: {command}, block: {block}", ) - def shell_exec(self, id: str, command: str) -> str: - return super().shell_exec(id=id, command=command) + def shell_exec(self, id: str, command: str, block: bool = True) -> str: + return super().shell_exec(id=id, command=command, block=block) @listen_toolkit( BaseTerminalToolkit.shell_view, @@ -81,17 +84,17 @@ class TerminalToolkit(BaseTerminalToolkit, AbstractToolkit): @listen_toolkit( BaseTerminalToolkit.shell_wait, - lambda _, id, seconds: f"id: {id}, seconds: {seconds}", + lambda _, id, wait_seconds=None: f"id: {id}, wait_seconds: {wait_seconds}", ) - def shell_wait(self, id: str, seconds: int | None = None) -> str: - return super().shell_wait(id=id, seconds=seconds) + def shell_wait(self, id: str, wait_seconds: float = 5.0) -> str: + return super().shell_wait(id=id, wait_seconds=wait_seconds) @listen_toolkit( BaseTerminalToolkit.shell_write_to_process, - lambda _, id, input, press_enter: f"id: {id}, input: {input}, press_enter: {press_enter}", + lambda _, id, command: f"id: {id}, command: {command}", ) - def shell_write_to_process(self, id: str, input: str, press_enter: bool) -> str: - return super().shell_write_to_process(id=id, input=input, press_enter=press_enter) + def shell_write_to_process(self, id: str, command: str) -> str: + return super().shell_write_to_process(id=id, command=command) @listen_toolkit( BaseTerminalToolkit.shell_kill_process, @@ -101,8 +104,8 @@ class TerminalToolkit(BaseTerminalToolkit, AbstractToolkit): return super().shell_kill_process(id=id) @listen_toolkit( - BaseTerminalToolkit.ask_user_for_help, - lambda _, id: f"id: {id}", + BaseTerminalToolkit.shell_ask_user_for_help, + lambda _, id, prompt: f"id: {id}, prompt: {prompt}", ) - def ask_user_for_help(self, id: str) -> str: - return super().ask_user_for_help(id=id) + def shell_ask_user_for_help(self, id: str, prompt: str) -> str: + return super().shell_ask_user_for_help(id=id, prompt=prompt) diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 81cb39cd2..a712b0c3d 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -5,7 +5,7 @@ description = "Add your description here" readme = "README.md" requires-python = "==3.10.16" dependencies = [ - "camel-ai[eigent]>=0.2.76a3", + "camel-ai[eigent]>=0.2.76a6", "fastapi>=0.115.12", "fastapi-babel>=1.0.0", "uvicorn[standard]>=0.34.2", diff --git a/backend/tests/unit/controller/test_model_controller.py b/backend/tests/unit/controller/test_model_controller.py index 8826f18ce..c83e0cb2e 100644 --- a/backend/tests/unit/controller/test_model_controller.py +++ b/backend/tests/unit/controller/test_model_controller.py @@ -8,66 +8,63 @@ from app.controller.model_controller import validate_model, ValidateModelRequest @pytest.mark.unit class TestModelController: """Test cases for model controller endpoints.""" - + @pytest.mark.asyncio async def test_validate_model_success(self): """Test successful model validation.""" request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI", + model_platform="openai", + model_type="gpt-4o", api_key="test_key", url="https://api.openai.com/v1", model_config_dict={"temperature": 0.7}, - extra_params={"max_tokens": 1000} + extra_params={"max_tokens": 1000}, ) - + mock_agent = MagicMock() mock_response = MagicMock() tool_call = MagicMock() - tool_call.result = "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" + tool_call.result = ( + "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" + ) mock_response.info = {"tool_calls": [tool_call]} mock_agent.step.return_value = mock_response - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): response = await validate_model(request_data) - + assert isinstance(response, ValidateModelResponse) assert response.is_valid is True assert response.is_tool_calls is True - assert response.message == "" + assert response.message == "Validation Success" + assert response.error_code is None + assert response.error is None @pytest.mark.asyncio async def test_validate_model_creation_failure(self): """Test model validation when agent creation fails.""" - request_data = ValidateModelRequest( - model_platform="INVALID", - model_type="INVALID_MODEL", - api_key="invalid_key" - ) - - with patch("app.controller.model_controller.create_agent", side_effect=Exception("Invalid model configuration")): + request_data = ValidateModelRequest(model_platform="INVALID", model_type="INVALID_MODEL", api_key="invalid_key") + + with patch( + "app.controller.model_controller.create_agent", side_effect=Exception("Invalid model configuration") + ): response = await validate_model(request_data) - assert isinstance(response, ValidateModelResponse) assert response.is_valid is False assert response.is_tool_calls is False - assert "Invalid model configuration" in response.message + assert "Invalid model name" in response.message @pytest.mark.asyncio async def test_validate_model_step_failure(self): """Test model validation when agent step fails.""" - request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI", - api_key="test_key" - ) - + request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o", api_key="test_key") + mock_agent = MagicMock() mock_agent.step.side_effect = Exception("API call failed") - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): response = await validate_model(request_data) - + assert isinstance(response, ValidateModelResponse) assert response.is_valid is False assert response.is_tool_calls is False @@ -76,125 +73,116 @@ class TestModelController: @pytest.mark.asyncio async def test_validate_model_tool_calls_false(self): """Test model validation when tool calls fail.""" - request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI", - api_key="test_key" - ) - + request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o", api_key="test_key") + mock_agent = MagicMock() mock_response = MagicMock() tool_call = MagicMock() tool_call.result = "Different response" mock_response.info = {"tool_calls": [tool_call]} mock_agent.step.return_value = mock_response - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): response = await validate_model(request_data) - + assert isinstance(response, ValidateModelResponse) assert response.is_valid is True assert response.is_tool_calls is False - assert response.message == "" + assert response.message == "This model doesn't support tool calls. please try with another model." @pytest.mark.asyncio async def test_validate_model_with_minimal_parameters(self): """Test model validation with minimal parameters.""" request_data = ValidateModelRequest() # Uses default values - + mock_agent = MagicMock() mock_response = MagicMock() tool_call = MagicMock() - tool_call.result = "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" + tool_call.result = ( + "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" + ) mock_response.info = {"tool_calls": [tool_call]} mock_agent.step.return_value = mock_response - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): response = await validate_model(request_data) - assert isinstance(response, ValidateModelResponse) - assert response.is_valid is True - assert response.is_tool_calls is True + assert response.is_valid is False + assert response.is_tool_calls is False + assert response.error_code is not None + assert response.error is not None @pytest.mark.asyncio async def test_validate_model_no_response(self): """Test model validation when no response is returned.""" - request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI" - ) - + request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o") + mock_agent = MagicMock() mock_agent.step.return_value = None - + # When response is None, should return False with patch("app.controller.model_controller.create_agent", return_value=mock_agent): result = await validate_model(request_data) assert result.is_valid is False assert result.is_tool_calls is False + assert result.error_code is None + assert result.error is None @pytest.mark.integration class TestModelControllerIntegration: """Integration tests for model controller.""" - + def test_validate_model_endpoint_integration(self, client: TestClient): """Test validate model endpoint through FastAPI test client.""" request_data = { - "model_platform": "OPENAI", - "model_type": "GPT_4O_MINI", + "model_platform": "openai", + "model_type": "gpt-4o", "api_key": "test_key", "url": "https://api.openai.com/v1", "model_config_dict": {"temperature": 0.7}, - "extra_params": {"max_tokens": 1000} + "extra_params": {"max_tokens": 1000}, } - + mock_agent = MagicMock() mock_response = MagicMock() tool_call = MagicMock() - tool_call.result = "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" + tool_call.result = ( + "Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!" + ) mock_response.info = {"tool_calls": [tool_call]} mock_agent.step.return_value = mock_response - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): response = client.post("/model/validate", json=request_data) - + assert response.status_code == 200 response_data = response.json() assert response_data["is_valid"] is True assert response_data["is_tool_calls"] is True - assert response_data["message"] == "" + assert response_data["message"] == "Validation Success" def test_validate_model_endpoint_error_integration(self, client: TestClient): """Test validate model endpoint error handling through FastAPI test client.""" - request_data = { - "model_platform": "INVALID", - "model_type": "INVALID_MODEL" - } - + request_data = {"model_platform": "INVALID", "model_type": "INVALID_MODEL"} + with patch("app.controller.model_controller.create_agent", side_effect=Exception("Test error")): response = client.post("/model/validate", json=request_data) - + assert response.status_code == 200 # Returns 200 with error in response body response_data = response.json() assert response_data["is_valid"] is False assert response_data["is_tool_calls"] is False - assert "Test error" in response_data["message"] + assert "Invalid model name" in response_data["message"] @pytest.mark.model_backend class TestModelControllerWithRealModels: """Tests that require real model backends (marked for selective running).""" - + @pytest.mark.asyncio async def test_validate_model_with_real_openai_model(self): """Test model validation with real OpenAI model (requires API key).""" - request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI", - api_key=None, # Would need real API key from environment - ) - # This test would validate against real OpenAI API # Marked as model_backend for selective execution assert True # Placeholder @@ -210,55 +198,48 @@ class TestModelControllerWithRealModels: @pytest.mark.unit class TestModelControllerErrorCases: """Test error cases and edge conditions for model controller.""" - + @pytest.mark.asyncio async def test_validate_model_with_invalid_json_config(self): """Test model validation with invalid JSON configuration.""" request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI", - model_config_dict={"invalid": float('inf')} # Invalid JSON value + model_platform="openai", + model_type="gpt-4o", + model_config_dict={"invalid": float("inf")}, # Invalid JSON value ) - + with patch("app.controller.model_controller.create_agent", side_effect=ValueError("Invalid configuration")): response = await validate_model(request_data) - + assert response.is_valid is False assert "Invalid configuration" in response.message @pytest.mark.asyncio async def test_validate_model_with_network_error(self): """Test model validation with network connectivity issues.""" - request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI", - url="https://invalid-url.com" - ) - + request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o", url="https://invalid-url.com") + mock_agent = MagicMock() mock_agent.step.side_effect = ConnectionError("Network unreachable") - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): response = await validate_model(request_data) - + assert response.is_valid is False assert "Network unreachable" in response.message @pytest.mark.asyncio async def test_validate_model_with_malformed_tool_calls_response(self): """Test model validation with malformed tool calls in response.""" - request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI" - ) - + request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o") + mock_agent = MagicMock() mock_response = MagicMock() mock_response.info = { "tool_calls": [] # Empty tool calls } mock_agent.step.return_value = mock_response - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): # Should handle empty tool calls gracefully result = await validate_model(request_data) @@ -268,18 +249,53 @@ class TestModelControllerErrorCases: @pytest.mark.asyncio async def test_validate_model_with_missing_info_field(self): """Test model validation with missing info field in response.""" - request_data = ValidateModelRequest( - model_platform="OPENAI", - model_type="GPT_4O_MINI" - ) - + request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o") + mock_agent = MagicMock() mock_response = MagicMock() mock_response.info = {} # Missing tool_calls mock_agent.step.return_value = mock_response - + with patch("app.controller.model_controller.create_agent", return_value=mock_agent): # Should handle missing tool_calls key gracefully result = await validate_model(request_data) assert result.is_valid is True # Response exists assert result.is_tool_calls is False # No tool_calls key + + @pytest.mark.asyncio + async def test_validate_model_empty_api_key(self): + """Test model validation with empty API key.""" + request_data = ValidateModelRequest( + model_platform="openai", + model_type="gpt-4o", + api_key="", # Empty API key + ) + + response = await validate_model(request_data) + + assert response.is_valid is False + assert response.is_tool_calls is False + assert response.message == "Invalid key. Validation failed." + assert response.error_code == "invalid_api_key" + assert response.error is not None + assert response.error["message"] == "Invalid key. Validation failed." + assert response.error["type"] == "invalid_request_error" + assert response.error["code"] == "invalid_api_key" + + @pytest.mark.asyncio + async def test_validate_model_invalid_model_type(self): + """Test model validation with invalid model type.""" + request_data = ValidateModelRequest( + model_platform="openai", model_type="INVALID_MODEL_TYPE", api_key="test_key" + ) + + response = await validate_model(request_data) + assert response.is_valid is False + assert response.is_tool_calls is False + assert response.message == "Invalid model name. Validation failed." + assert response.error_code is not None + assert "model_not_found" in response.error_code + assert response.error is not None + assert response.error["message"] == "Invalid model name. 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installed = await isBinaryExists(toolName); - - const mainWindow = getMainWindow(); - if (mainWindow && !mainWindow.isDestroyed()) { - if (installed) { - mainWindow.webContents.send('install-dependencies-log', { - type: 'stdout', - data: `${toolName} installed successfully`, - }); - } else { + console.log(`start install ${toolName}`); + const isSuccess = await runInstallScript(scriptName); + const mainWindow = getMainWindow(); + if (mainWindow && !mainWindow.isDestroyed() && !isSuccess) { mainWindow.webContents.send('install-dependencies-complete', { success: false, code: 2, - error: `${toolName} installation failed (script exit code 2)`, + error: `${toolName} installation failed`, }); + return false } - } - return installed; + const installed = await isBinaryExists(toolName); + + + if (mainWindow && !mainWindow.isDestroyed()) { + if (installed) { + mainWindow.webContents.send('install-dependencies-log', { + type: 'stdout', + data: `${toolName} installed successfully`, + }); + } else { + mainWindow.webContents.send('install-dependencies-complete', { + success: false, + code: 2, + error: `${toolName} installation failed`, + }); + } + } + + return installed; }; if (!(await ensureInstalled('uv', 'install-uv.js'))) { @@ -220,15 +230,15 @@ export async function installDependencies() { console.log('install dependencies end', code === 0) resolveInner(code === 0) }) - }catch(err) { - log.error('run install failed', err) + } catch (err) { + log.error('run install failed', err) // Clean up uv_installing.lock file if installation fails if (fs.existsSync(installingLockPath)) { fs.unlinkSync(installingLockPath); } rejectInner(err) } - + }) } @@ -317,7 +327,7 @@ export async function startBackend(setPort?: (port: number) => void): Promise { + const displayFilteredLogs = (data: String) => { if (!data) return; const msg = data.toString().trimEnd(); if (msg.toLowerCase().includes("error") || msg.toLowerCase().includes("traceback")) { diff --git a/package.json b/package.json index ff8a45587..0d6dcae88 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "eigent", - "version": "0.0.68", + "version": "0.0.71", "main": "dist-electron/main/index.js", "description": "Eigent", "author": "Eigent.AI", diff --git a/server/alembic/versions/2025_09_28_1621-d74ab2a44600_drop_mcp_user_foreign_key_constraint.py b/server/alembic/versions/2025_09_28_1621-d74ab2a44600_drop_mcp_user_foreign_key_constraint.py new file mode 100644 index 000000000..9bd085337 --- /dev/null +++ b/server/alembic/versions/2025_09_28_1621-d74ab2a44600_drop_mcp_user_foreign_key_constraint.py @@ -0,0 +1,84 @@ +"""drop_mcp_user_foreign_key_constraint + +Revision ID: d74ab2a44600 +Revises: 0001_init +Create Date: 2025-09-28 16:21:06.930093 + +""" + +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel.sql.sqltypes + + +# revision identifiers, used by Alembic. +revision: str = "d74ab2a44600" +down_revision: Union[str, None] = "0001_init" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Upgrade schema.""" + # Drop the foreign key constraint for mcp_id in mcp_user table + # Use try-catch to handle cases where constraint might not exist or have different name + + try: + op.drop_constraint("mcp_user_mcp_id_fkey", "mcp_user", type_="foreignkey") + except Exception as e: + # If the expected constraint name doesn't work, try to find it dynamically + try: + connection = op.get_bind() + inspector = sa.inspect(connection) + fk_constraints = inspector.get_foreign_keys("mcp_user") + + # Find the constraint that references mcp_id -> mcp.id + target_constraint = None + for fk in fk_constraints: + if (fk.get("constrained_columns") == ["mcp_id"] and + fk.get("referred_table") == "mcp" and + fk.get("referred_columns") == ["id"]): + target_constraint = fk.get("name") + break + + if target_constraint: + op.drop_constraint(target_constraint, "mcp_user", type_="foreignkey") + else: + print("Warning: No foreign key constraint found for mcp_user.mcp_id -> mcp.id") + except Exception as e2: + print(f"Warning: Could not drop foreign key constraint: {e2}") + + +def downgrade() -> None: + """Downgrade schema.""" + # Re-add the foreign key constraint for mcp_id in mcp_user table + # Check if the constraint already exists before creating it + + try: + connection = op.get_bind() + inspector = sa.inspect(connection) + fk_constraints = inspector.get_foreign_keys("mcp_user") + + # Check if the constraint already exists + constraint_exists = False + for fk in fk_constraints: + if (fk.get("constrained_columns") == ["mcp_id"] and + fk.get("referred_table") == "mcp" and + fk.get("referred_columns") == ["id"]): + constraint_exists = True + break + + if not constraint_exists: + op.create_foreign_key( + "mcp_user_mcp_id_fkey", + "mcp_user", + "mcp", + ["mcp_id"], + ["id"] + ) + else: + print("Info: Foreign key constraint for mcp_user.mcp_id -> mcp.id already exists") + except Exception as e: + print(f"Warning: Could not check or create foreign key constraint: {e}") diff --git a/server/app/model/mcp/mcp_user.py b/server/app/model/mcp/mcp_user.py index 04e202a92..779cd72f9 100644 --- a/server/app/model/mcp/mcp_user.py +++ b/server/app/model/mcp/mcp_user.py @@ -71,7 +71,6 @@ class McpUserUpdate(BaseModel): server_url: Optional[str] = None command: Optional[str] = None args: Optional[str] = None - env: Optional[dict] = None mcp_key: Optional[str] = None diff --git a/src/assets/wechat_qr_1.jpg b/src/assets/wechat_qr_1.jpg index de106ba0c..262368de8 100644 Binary files a/src/assets/wechat_qr_1.jpg and b/src/assets/wechat_qr_1.jpg differ diff --git a/src/assets/wechat_qr_2.jpg b/src/assets/wechat_qr_2.jpg index 186da1a82..10dcd99ea 100644 Binary files a/src/assets/wechat_qr_2.jpg and b/src/assets/wechat_qr_2.jpg differ diff --git a/src/assets/wechat_qr_3.jpg b/src/assets/wechat_qr_3.jpg index 9b852f62d..880356cbe 100644 Binary files a/src/assets/wechat_qr_3.jpg and b/src/assets/wechat_qr_3.jpg differ diff --git a/src/assets/wechat_qr_4.jpg b/src/assets/wechat_qr_4.jpg index 9efee4d64..ccf2ede66 100644 Binary files a/src/assets/wechat_qr_4.jpg and b/src/assets/wechat_qr_4.jpg differ diff --git a/src/components/ChatBox/BottomInput.tsx b/src/components/ChatBox/BottomInput.tsx index 3187667a8..263604d53 100644 --- a/src/components/ChatBox/BottomInput.tsx +++ b/src/components/ChatBox/BottomInput.tsx @@ -13,13 +13,14 @@ import { Play, Image, FileText, + UploadCloud, } from "lucide-react"; import { useChatStore } from "@/store/chatStore"; import racPause from "@/assets/rac-pause.svg"; import { fetchDelete, proxyFetchDelete } from "@/api/http"; -import { useState, useEffect } from "react"; +import { useState, useEffect, useRef } from "react"; import { fetchPut } from "@/api/http"; import { Tag } from "../ui/tag"; import { useTranslation } from "react-i18next"; @@ -88,6 +89,8 @@ export const BottomInput = ({ }, [chatStore]); const [isLoading, setIsLoading] = useState(false); + const [isDragging, setIsDragging] = useState(false); + const dragCounter = useRef(0); const handleTakeControl = (type: "pause" | "resume") => { setIsLoading(true); if (type === "pause") { @@ -135,6 +138,64 @@ export const BottomInput = ({ } }; + // drag & drop files + const isFileDrag = (e: React.DragEvent) => { + try { + return Array.from(e.dataTransfer?.types || []).includes("Files"); + } catch { + return false; + } + }; + + const handleDragOver = (e: React.DragEvent) => { + if (!privacy || isPending || useCloudModelInDev) return; + if (!isFileDrag(e)) return; + e.preventDefault(); + e.stopPropagation(); + e.dataTransfer.dropEffect = "copy"; + setIsDragging(true); + }; + + const handleDragEnter = (e: React.DragEvent) => { + if (!privacy || isPending || useCloudModelInDev) return; + if (!isFileDrag(e)) return; + e.preventDefault(); + e.stopPropagation(); + dragCounter.current += 1; + setIsDragging(true); + }; + + const handleDragLeave = (e: React.DragEvent) => { + e.preventDefault(); + e.stopPropagation(); + dragCounter.current = Math.max(0, dragCounter.current - 1); + if (dragCounter.current === 0) setIsDragging(false); + }; + + const handleDrop = (e: React.DragEvent) => { + e.preventDefault(); + e.stopPropagation(); + setIsDragging(false); + dragCounter.current = 0; + if (!privacy || isPending || useCloudModelInDev) return; + try { + const dropped = Array.from(e.dataTransfer?.files || []); + if (dropped.length === 0) return; + const current = chatStore.tasks[chatStore.activeTaskId as string].attaches; + const mapped = dropped.map((f: File) => ({ + fileName: f.name, + filePath: (f as any).path || f.name, + })); + const files = [ + ...current.filter((f: File) => !mapped.find((m) => m.filePath === f.filePath)), + ...mapped.filter((m) => !current.find((f) => f.filePath === m.filePath)), + ]; + chatStore.setAttaches(chatStore.activeTaskId as string, files as File[]); + } catch (error) { + console.error("Drop File Error:", error); + } + }; + const handleEditQuery = () => { fetchDelete(`/chat/${chatStore.activeTaskId}`); const tempTaskId = chatStore.activeTaskId; @@ -312,7 +373,22 @@ export const BottomInput = ({ )} ) : ( -
+
+ {isDragging && ( +
+ +
+ Drop files to attach +
+ +
+ )}