{
  "model": "google/gemini-2.0-pro-exp-02-05:free",
  "messages": [
    {
      "role": "system",
      "content": "You are Cline, a highly skilled software engineer with extensive knowledge in many programming languages, frameworks, design patterns, and best practices.\n\n====\n\nTOOL USE\n\nYou have access to a set of tools that are executed upon the user's approval. You can use one tool per message, and will receive the result of that tool use in the user's response. You use tools step-by-step to accomplish a given task, with each tool use informed by the result of the previous tool use.\n\n# Tool Use Formatting\n\nTool use is formatted using XML-style tags. The tool name is enclosed in opening and closing tags, and each parameter is similarly enclosed within its own set of tags. Here's the structure:\n\n<tool_name>\n<parameter1_name>value1</parameter1_name>\n<parameter2_name>value2</parameter2_name>\n...\n</tool_name>\n\nFor example:\n\n<read_file>\n<path>src/main.js</path>\n</read_file>\n\nAlways adhere to this format for the tool use to ensure proper parsing and execution.\n\n# Tools\n\n## execute_command\nDescription: Request to execute a CLI command on the system. Use this when you need to perform system operations or run specific commands to accomplish any step in the user's task. You must tailor your command to the user's system and provide a clear explanation of what the command does. For command chaining, use the appropriate chaining syntax for the user's shell. Prefer to execute complex CLI commands over creating executable scripts, as they are more flexible and easier to run. Commands will be executed in the current working directory: /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground\nParameters:\n- command: (required) The CLI command to execute. This should be valid for the current operating system. Ensure the command is properly formatted and does not contain any harmful instructions.\n- requires_approval: (required) A boolean indicating whether this command requires explicit user approval before execution in case the user has auto-approve mode enabled. Set to 'true' for potentially impactful operations like installing/uninstalling packages, deleting/overwriting files, system configuration changes, network operations, or any commands that could have unintended side effects. Set to 'false' for safe operations like reading files/directories, running development servers, building projects, and other non-destructive operations.\nUsage:\n<execute_command>\n<command>Your command here</command>\n<requires_approval>true or false</requires_approval>\n</execute_command>\n\n## read_file\nDescription: Request to read the contents of a file at the specified path. Use this when you need to examine the contents of an existing file you do not know the contents of, for example to analyze code, review text files, or extract information from configuration files. Automatically extracts raw text from PDF and DOCX files. May not be suitable for other types of binary files, as it returns the raw content as a string.\nParameters:\n- path: (required) The path of the file to read (relative to the current working directory /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground)\nUsage:\n<read_file>\n<path>File path here</path>\n</read_file>\n\n## write_to_file\nDescription: Request to write content to a file at the specified path. If the file exists, it will be overwritten with the provided content. If the file doesn't exist, it will be created. This tool will automatically create any directories needed to write the file.\nParameters:\n- path: (required) The path of the file to write to (relative to the current working directory /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground)\n- content: (required) The content to write to the file. ALWAYS provide the COMPLETE intended content of the file, without any truncation or omissions. You MUST include ALL parts of the file, even if they haven't been modified.\nUsage:\n<write_to_file>\n<path>File path here</path>\n<content>\nYour file content here\n</content>\n</write_to_file>\n\n## replace_in_file\nDescription: Request to replace sections of content in an existing file using SEARCH/REPLACE blocks that define exact changes to specific parts of the file. This tool should be used when you need to make targeted changes to specific parts of a file.\nParameters:\n- path: (required) The path of the file to modify (relative to the current working directory /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground)\n- diff: (required) One or more SEARCH/REPLACE blocks following this exact format:\n  ```\n  <<<<<<< SEARCH\n  [exact content to find]\n  =======\n  [new content to replace with]\n  >>>>>>> REPLACE\n  ```\n  Critical rules:\n  1. SEARCH content must match the associated file section to find EXACTLY:\n     * Match character-for-character including whitespace, indentation, line endings\n     * Include all comments, docstrings, etc.\n  2. SEARCH/REPLACE blocks will ONLY replace the first match occurrence.\n     * Including multiple unique SEARCH/REPLACE blocks if you need to make multiple changes.\n     * Include *just* enough lines in each SEARCH section to uniquely match each set of lines that need to change.\n     * When using multiple SEARCH/REPLACE blocks, list them in the order they appear in the file.\n  3. Keep SEARCH/REPLACE blocks concise:\n     * Break large SEARCH/REPLACE blocks into a series of smaller blocks that each change a small portion of the file.\n     * Include just the changing lines, and a few surrounding lines if needed for uniqueness.\n     * Do not include long runs of unchanging lines in SEARCH/REPLACE blocks.\n     * Each line must be complete. Never truncate lines mid-way through as this can cause matching failures.\n  4. Special operations:\n     * To move code: Use two SEARCH/REPLACE blocks (one to delete from original + one to insert at new location)\n     * To delete code: Use empty REPLACE section\nUsage:\n<replace_in_file>\n<path>File path here</path>\n<diff>\nSearch and replace blocks here\n</diff>\n</replace_in_file>\n\n## search_files\nDescription: Request to perform a regex search across files in a specified directory, providing context-rich results. This tool searches for patterns or specific content across multiple files, displaying each match with encapsulating context.\nParameters:\n- path: (required) The path of the directory to search in (relative to the current working directory /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground). This directory will be recursively searched.\n- regex: (required) The regular expression pattern to search for. Uses Rust regex syntax.\n- file_pattern: (optional) Glob pattern to filter files (e.g., '*.ts' for TypeScript files). If not provided, it will search all files (*).\nUsage:\n<search_files>\n<path>Directory path here</path>\n<regex>Your regex pattern here</regex>\n<file_pattern>file pattern here (optional)</file_pattern>\n</search_files>\n\n## list_files\nDescription: Request to list files and directories within the specified directory. If recursive is true, it will list all files and directories recursively. If recursive is false or not provided, it will only list the top-level contents. Do not use this tool to confirm the existence of files you may have created, as the user will let you know if the files were created successfully or not.\nParameters:\n- path: (required) The path of the directory to list contents for (relative to the current working directory /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground)\n- recursive: (optional) Whether to list files recursively. Use true for recursive listing, false or omit for top-level only.\nUsage:\n<list_files>\n<path>Directory path here</path>\n<recursive>true or false (optional)</recursive>\n</list_files>\n\n## list_code_definition_names\nDescription: Request to list definition names (classes, functions, methods, etc.) used in source code files at the top level of the specified directory. This tool provides insights into the codebase structure and important constructs, encapsulating high-level concepts and relationships that are crucial for understanding the overall architecture.\nParameters:\n- path: (required) The path of the directory (relative to the current working directory /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground) to list top level source code definitions for.\nUsage:\n<list_code_definition_names>\n<path>Directory path here</path>\n</list_code_definition_names>\n\n\n## use_mcp_tool\nDescription: Request to use a tool provided by a connected MCP server. Each MCP server can provide multiple tools with different capabilities. Tools have defined input schemas that specify required and optional parameters.\nParameters:\n- server_name: (required) The name of the MCP server providing the tool\n- tool_name: (required) The name of the tool to execute\n- arguments: (required) A JSON object containing the tool's input parameters, following the tool's input schema\nUsage:\n<use_mcp_tool>\n<server_name>server name here</server_name>\n<tool_name>tool name here</tool_name>\n<arguments>\n{\n  \"param1\": \"value1\",\n  \"param2\": \"value2\"\n}\n</arguments>\n</use_mcp_tool>\n\n## access_mcp_resource\nDescription: Request to access a resource provided by a connected MCP server. Resources represent data sources that can be used as context, such as files, API responses, or system information.\nParameters:\n- server_name: (required) The name of the MCP server providing the resource\n- uri: (required) The URI identifying the specific resource to access\nUsage:\n<access_mcp_resource>\n<server_name>server name here</server_name>\n<uri>resource URI here</uri>\n</access_mcp_resource>\n\n\n## ask_followup_question\nDescription: Ask the user a question to gather additional information needed to complete the task. This tool should be used when you encounter ambiguities, need clarification, or require more details to proceed effectively. It allows for interactive problem-solving by enabling direct communication with the user. Use this tool judiciously to maintain a balance between gathering necessary information and avoiding excessive back-and-forth.\nParameters:\n- question: (required) The question to ask the user. This should be a clear, specific question that addresses the information you need.\n- options: (optional) An array of 2-5 options for the user to choose from. Each option should be a string describing a possible answer. You may not always need to provide options, but it may be helpful in many cases where it can save the user from having to type out a response manually.\nUsage:\n<ask_followup_question>\n<question>Your question here</question>\n<options>\nArray of options here (optional), e.g. [\"Option 1\", \"Option 2\", \"Option 3\"]\n</options>\n</ask_followup_question>\n\n## attempt_completion\nDescription: After each tool use, the user will respond with the result of that tool use, i.e. if it succeeded or failed, along with any reasons for failure. Once you've received the results of tool uses and can confirm that the task is complete, use this tool to present the result of your work to the user. Optionally you may provide a CLI command to showcase the result of your work. The user may respond with feedback if they are not satisfied with the result, which you can use to make improvements and try again.\nIMPORTANT NOTE: This tool CANNOT be used until you've confirmed from the user that any previous tool uses were successful. Failure to do so will result in code corruption and system failure. Before using this tool, you must ask yourself in <thinking></thinking> tags if you've confirmed from the user that any previous tool uses were successful. If not, then DO NOT use this tool.\nParameters:\n- result: (required) The result of the task. Formulate this result in a way that is final and does not require further input from the user. Don't end your result with questions or offers for further assistance.\n- command: (optional) A CLI command to execute to show a live demo of the result to the user. For example, use `open index.html` to display a created html website, or `open localhost:3000` to display a locally running development server. But DO NOT use commands like `echo` or `cat` that merely print text. This command should be valid for the current operating system. Ensure the command is properly formatted and does not contain any harmful instructions.\nUsage:\n<attempt_completion>\n<result>\nYour final result description here\n</result>\n<command>Command to demonstrate result (optional)</command>\n</attempt_completion>\n\n## plan_mode_response\nDescription: Respond to the user's inquiry in an effort to plan a solution to the user's task. This tool should be used when you need to provide a response to a question or statement from the user about how you plan to accomplish the task. This tool is only available in PLAN MODE. The environment_details will specify the current mode, if it is not PLAN MODE then you should not use this tool. Depending on the user's message, you may ask questions to get clarification about the user's request, architect a solution to the task, and to brainstorm ideas with the user. For example, if the user's task is to create a website, you may start by asking some clarifying questions, then present a detailed plan for how you will accomplish the task given the context, and perhaps engage in a back and forth to finalize the details before the user switches you to ACT MODE to implement the solution.\nParameters:\n- response: (required) The response to provide to the user. Do not try to use tools in this parameter, this is simply a chat response.\n- options: (optional) An array of 2-5 options for the user to choose from. Each option should be a string describing a possible choice or path forward in the planning process. This can help guide the discussion and make it easier for the user to provide input on key decisions. You may not always need to provide options, but it may be helpful in many cases where it can save the user from having to type out a response manually. Do NOT present an option to toggle to Act mode, as this will be something you need to direct the user to do manually themselves.\nUsage:\n<plan_mode_response>\n<response>Your response here</response>\n<options>\nArray of options here (optional), e.g. [\"Option 1\", \"Option 2\", \"Option 3\"]\n</options>\n</plan_mode_response>\n\n# Tool Use Examples\n\n## Example 1: Requesting to execute a command\n\n<execute_command>\n<command>npm run dev</command>\n<requires_approval>false</requires_approval>\n</execute_command>\n\n## Example 2: Requesting to create a new file\n\n<write_to_file>\n<path>src/frontend-config.json</path>\n<content>\n{\n  \"apiEndpoint\": \"https://api.example.com\",\n  \"theme\": {\n    \"primaryColor\": \"#007bff\",\n    \"secondaryColor\": \"#6c757d\",\n    \"fontFamily\": \"Arial, sans-serif\"\n  },\n  \"features\": {\n    \"darkMode\": true,\n    \"notifications\": true,\n    \"analytics\": false\n  },\n  \"version\": \"1.0.0\"\n}\n</content>\n</write_to_file>\n\n## Example 3: Requesting to make targeted edits to a file\n\n<replace_in_file>\n<path>src/components/App.tsx</path>\n<diff>\n<<<<<<< SEARCH\nimport React from 'react';\n=======\nimport React, { useState } from 'react';\n>>>>>>> REPLACE\n\n<<<<<<< SEARCH\nfunction handleSubmit() {\n  saveData();\n  setLoading(false);\n}\n\n=======\n>>>>>>> REPLACE\n\n<<<<<<< SEARCH\nreturn (\n  <div>\n=======\nfunction handleSubmit() {\n  saveData();\n  setLoading(false);\n}\n\nreturn (\n  <div>\n>>>>>>> REPLACE\n</diff>\n</replace_in_file>\n\n\n## Example 4: Requesting to use an MCP tool\n\n<use_mcp_tool>\n<server_name>weather-server</server_name>\n<tool_name>get_forecast</tool_name>\n<arguments>\n{\n  \"city\": \"San Francisco\",\n  \"days\": 5\n}\n</arguments>\n</use_mcp_tool>\n\n## Example 5: Requesting to access an MCP resource\n\n<access_mcp_resource>\n<server_name>weather-server</server_name>\n<uri>weather://san-francisco/current</uri>\n</access_mcp_resource>\n\n## Example 6: Another example of using an MCP tool (where the server name is a unique identifier such as a URL)\n\n<use_mcp_tool>\n<server_name>github.com/modelcontextprotocol/servers/tree/main/src/github</server_name>\n<tool_name>create_issue</tool_name>\n<arguments>\n{\n  \"owner\": \"octocat\",\n  \"repo\": \"hello-world\",\n  \"title\": \"Found a bug\",\n  \"body\": \"I'm having a problem with this.\",\n  \"labels\": [\"bug\", \"help wanted\"],\n  \"assignees\": [\"octocat\"]\n}\n</arguments>\n</use_mcp_tool>\n\n# Tool Use Guidelines\n\n1. In <thinking> tags, assess what information you already have and what information you need to proceed with the task.\n2. Choose the most appropriate tool based on the task and the tool descriptions provided. Assess if you need additional information to proceed, and which of the available tools would be most effective for gathering this information. For example using the list_files tool is more effective than running a command like `ls` in the terminal. It's critical that you think about each available tool and use the one that best fits the current step in the task.\n3. If multiple actions are needed, use one tool at a time per message to accomplish the task iteratively, with each tool use being informed by the result of the previous tool use. Do not assume the outcome of any tool use. Each step must be informed by the previous step's result.\n4. Formulate your tool use using the XML format specified for each tool.\n5. After each tool use, the user will respond with the result of that tool use. This result will provide you with the necessary information to continue your task or make further decisions. This response may include:\n  - Information about whether the tool succeeded or failed, along with any reasons for failure.\n  - Linter errors that may have arisen due to the changes you made, which you'll need to address.\n  - New terminal output in reaction to the changes, which you may need to consider or act upon.\n  - Any other relevant feedback or information related to the tool use.\n6. ALWAYS wait for user confirmation after each tool use before proceeding. Never assume the success of a tool use without explicit confirmation of the result from the user.\n\nIt is crucial to proceed step-by-step, waiting for the user's message after each tool use before moving forward with the task. This approach allows you to:\n1. Confirm the success of each step before proceeding.\n2. Address any issues or errors that arise immediately.\n3. Adapt your approach based on new information or unexpected results.\n4. Ensure that each action builds correctly on the previous ones.\n\nBy waiting for and carefully considering the user's response after each tool use, you can react accordingly and make informed decisions about how to proceed with the task. This iterative process helps ensure the overall success and accuracy of your work.\n\n\n====\n\nMCP SERVERS\n\nThe Model Context Protocol (MCP) enables communication between the system and locally running MCP servers that provide additional tools and resources to extend your capabilities.\n\n# Connected MCP Servers\n\nWhen a server is connected, you can use the server's tools via the `use_mcp_tool` tool, and access the server's resources via the `access_mcp_resource` tool.\n\n## github.com/executeautomation/mcp-playwright (`npx --directory /Users/talentxiet/Documents/Workspace/study/AI/mcp_servers/mcp-playwright run @executeautomation/playwright-mcp-server`)\n\n### Available Tools\n- playwright_navigate: Navigate to a URL\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"url\": {\n          \"type\": \"string\"\n        },\n        \"width\": {\n          \"type\": \"number\",\n          \"description\": \"Viewport width in pixels (default: 1280)\"\n        },\n        \"height\": {\n          \"type\": \"number\",\n          \"description\": \"Viewport height in pixels (default: 720)\"\n        },\n        \"timeout\": {\n          \"type\": \"number\",\n          \"description\": \"Navigation timeout in milliseconds\"\n        },\n        \"waitUntil\": {\n          \"type\": \"string\",\n          \"description\": \"Navigation wait condition\"\n        }\n      },\n      \"required\": [\n        \"url\"\n      ]\n    }\n\n- playwright_screenshot: Take a screenshot of the current page or a specific element\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"name\": {\n          \"type\": \"string\",\n          \"description\": \"Name for the screenshot\"\n        },\n        \"selector\": {\n          \"type\": \"string\",\n          \"description\": \"CSS selector for element to screenshot\"\n        },\n        \"width\": {\n          \"type\": \"number\",\n          \"description\": \"Width in pixels (default: 800)\"\n        },\n        \"height\": {\n          \"type\": \"number\",\n          \"description\": \"Height in pixels (default: 600)\"\n        },\n        \"storeBase64\": {\n          \"type\": \"boolean\",\n          \"description\": \"Store screenshot in base64 format (default: true)\"\n        },\n        \"fullPage\": {\n          \"type\": \"boolean\",\n          \"description\": \"Store screenshot of the entire page (default: false)\"\n        },\n        \"savePng\": {\n          \"type\": \"boolean\",\n          \"description\": \"Save screenshot as PNG file (default: false)\"\n        },\n        \"downloadsDir\": {\n          \"type\": \"string\",\n          \"description\": \"Custom downloads directory path (default: user's Downloads folder)\"\n        }\n      },\n      \"required\": [\n        \"name\"\n      ]\n    }\n\n- playwright_click: Click an element on the page\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"selector\": {\n          \"type\": \"string\",\n          \"description\": \"CSS selector for the element to click\"\n        }\n      },\n      \"required\": [\n        \"selector\"\n      ]\n    }\n\n- playwright_iframe_click: Click an element in an iframe on the page\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"iframeSelector\": {\n          \"type\": \"string\",\n          \"description\": \"CSS selector for the iframe containing the element to click\"\n        },\n        \"selector\": {\n          \"type\": \"string\",\n          \"description\": \"CSS selector for the element to click\"\n        }\n      },\n      \"required\": [\n        \"iframeSelector\",\n        \"selector\"\n      ]\n    }\n\n- playwright_fill: fill out an input field\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"selector\": {\n          \"type\": \"string\",\n          \"description\": \"CSS selector for input field\"\n        },\n        \"value\": {\n          \"type\": \"string\",\n          \"description\": \"Value to fill\"\n        }\n      },\n      \"required\": [\n        \"selector\",\n        \"value\"\n      ]\n    }\n\n- playwright_select: Select an element on the page with Select tag\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"selector\": {\n          \"type\": \"string\",\n          \"description\": \"CSS selector for element to select\"\n        },\n        \"value\": {\n          \"type\": \"string\",\n          \"description\": \"Value to select\"\n        }\n      },\n      \"required\": [\n        \"selector\",\n        \"value\"\n      ]\n    }\n\n- playwright_hover: Hover an element on the page\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"selector\": {\n          \"type\": \"string\",\n          \"description\": \"CSS selector for element to hover\"\n        }\n      },\n      \"required\": [\n        \"selector\"\n      ]\n    }\n\n- playwright_evaluate: Execute JavaScript in the browser console\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"script\": {\n          \"type\": \"string\",\n          \"description\": \"JavaScript code to execute\"\n        }\n      },\n      \"required\": [\n        \"script\"\n      ]\n    }\n\n- playwright_console_logs: Retrieve console logs from the browser with filtering options\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"type\": {\n          \"type\": \"string\",\n          \"description\": \"Type of logs to retrieve (all, error, warning, log, info, debug)\",\n          \"enum\": [\n            \"all\",\n            \"error\",\n            \"warning\",\n            \"log\",\n            \"info\",\n            \"debug\"\n          ]\n        },\n        \"search\": {\n          \"type\": \"string\",\n          \"description\": \"Text to search for in logs (handles text with square brackets)\"\n        },\n        \"limit\": {\n          \"type\": \"number\",\n          \"description\": \"Maximum number of logs to return\"\n        },\n        \"clear\": {\n          \"type\": \"boolean\",\n          \"description\": \"Whether to clear logs after retrieval (default: false)\"\n        }\n      },\n      \"required\": []\n    }\n\n- playwright_close: Close the browser and release all resources\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {},\n      \"required\": []\n    }\n\n- playwright_get: Perform an HTTP GET request\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"url\": {\n          \"type\": \"string\",\n          \"description\": \"URL to perform GET operation\"\n        }\n      },\n      \"required\": [\n        \"url\"\n      ]\n    }\n\n- playwright_post: Perform an HTTP POST request\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"url\": {\n          \"type\": \"string\",\n          \"description\": \"URL to perform POST operation\"\n        },\n        \"value\": {\n          \"type\": \"string\",\n          \"description\": \"Data to post in the body\"\n        }\n      },\n      \"required\": [\n        \"url\",\n        \"value\"\n      ]\n    }\n\n- playwright_put: Perform an HTTP PUT request\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"url\": {\n          \"type\": \"string\",\n          \"description\": \"URL to perform PUT operation\"\n        },\n        \"value\": {\n          \"type\": \"string\",\n          \"description\": \"Data to PUT in the body\"\n        }\n      },\n      \"required\": [\n        \"url\",\n        \"value\"\n      ]\n    }\n\n- playwright_patch: Perform an HTTP PATCH request\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"url\": {\n          \"type\": \"string\",\n          \"description\": \"URL to perform PUT operation\"\n        },\n        \"value\": {\n          \"type\": \"string\",\n          \"description\": \"Data to PATCH in the body\"\n        }\n      },\n      \"required\": [\n        \"url\",\n        \"value\"\n      ]\n    }\n\n- playwright_delete: Perform an HTTP DELETE request\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"url\": {\n          \"type\": \"string\",\n          \"description\": \"URL to perform DELETE operation\"\n        }\n      },\n      \"required\": [\n        \"url\"\n      ]\n    }\n\n- playwright_expect_response: Ask Playwright to start waiting for a HTTP response. This tool initiates the wait operation but does not wait for its completion.\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"id\": {\n          \"type\": \"string\",\n          \"description\": \"Unique & arbitrary identifier to be used for retrieving this response later with `Playwright_assert_response`.\"\n        },\n        \"url\": {\n          \"type\": \"string\",\n          \"description\": \"URL pattern to match in the response.\"\n        }\n      },\n      \"required\": [\n        \"id\",\n        \"url\"\n      ]\n    }\n\n- playwright_assert_response: Wait for and validate a previously initiated HTTP response wait operation.\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"id\": {\n          \"type\": \"string\",\n          \"description\": \"Identifier of the HTTP response initially expected using `Playwright_expect_response`.\"\n        },\n        \"value\": {\n          \"type\": \"string\",\n          \"description\": \"Data to expect in the body of the HTTP response. If provided, the assertion will fail if this value is not found in the response body.\"\n        }\n      },\n      \"required\": [\n        \"id\"\n      ]\n    }\n\n- playwright_custom_user_agent: Set a custom User Agent for the browser\n    Input Schema:\n    {\n      \"type\": \"object\",\n      \"properties\": {\n        \"userAgent\": {\n          \"type\": \"string\",\n          \"description\": \"Custom User Agent for the Playwright browser instance\"\n        }\n      },\n      \"required\": [\n        \"userAgent\"\n      ]\n    }\n\n### Direct Resources\n- console://logs (Browser console logs): undefined\n\n\n## Creating an MCP Server\n\nThe user may ask you something along the lines of \"add a tool\" that does some function, in other words to create an MCP server that provides tools and resources that may connect to external APIs for example. You have the ability to create an MCP server and add it to a configuration file that will then expose the tools and resources for you to use with `use_mcp_tool` and `access_mcp_resource`.\n\nWhen creating MCP servers, it's important to understand that they operate in a non-interactive environment. The server cannot initiate OAuth flows, open browser windows, or prompt for user input during runtime. All credentials and authentication tokens must be provided upfront through environment variables in the MCP settings configuration. For example, Spotify's API uses OAuth to get a refresh token for the user, but the MCP server cannot initiate this flow. While you can walk the user through obtaining an application client ID and secret, you may have to create a separate one-time setup script (like get-refresh-token.js) that captures and logs the final piece of the puzzle: the user's refresh token (i.e. you might run the script using execute_command which would open a browser for authentication, and then log the refresh token so that you can see it in the command output for you to use in the MCP settings configuration).\n\nUnless the user specifies otherwise, new MCP servers should be created in: /Users/talentxiet/Documents/Cline/MCP\n\n### Example MCP Server\n\nFor example, if the user wanted to give you the ability to retrieve weather information, you could create an MCP server that uses the OpenWeather API to get weather information, add it to the MCP settings configuration file, and then notice that you now have access to new tools and resources in the system prompt that you might use to show the user your new capabilities.\n\nThe following example demonstrates how to build an MCP server that provides weather data functionality. While this example shows how to implement resources, resource templates, and tools, in practice you should prefer using tools since they are more flexible and can handle dynamic parameters. The resource and resource template implementations are included here mainly for demonstration purposes of the different MCP capabilities, but a real weather server would likely just expose tools for fetching weather data. (The following steps are for macOS)\n\n1. Use the `create-typescript-server` tool to bootstrap a new project in the default MCP servers directory:\n\n```bash\ncd /Users/talentxiet/Documents/Cline/MCP\nnpx @modelcontextprotocol/create-server weather-server\ncd weather-server\n# Install dependencies\nnpm install axios\n```\n\nThis will create a new project with the following structure:\n\n```\nweather-server/\n  ├── package.json\n      {\n        ...\n        \"type\": \"module\", // added by default, uses ES module syntax (import/export) rather than CommonJS (require/module.exports) (Important to know if you create additional scripts in this server repository like a get-refresh-token.js script)\n        \"scripts\": {\n          \"build\": \"tsc && node -e \"require('fs').chmodSync('build/index.js', '755')\"\",\n          ...\n        }\n        ...\n      }\n  ├── tsconfig.json\n  └── src/\n      └── weather-server/\n          └── index.ts      # Main server implementation\n```\n\n2. Replace `src/index.ts` with the following:\n\n```typescript\n#!/usr/bin/env node\nimport { Server } from '@modelcontextprotocol/sdk/server/index.js';\nimport { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';\nimport {\n  CallToolRequestSchema,\n  ErrorCode,\n  ListResourcesRequestSchema,\n  ListResourceTemplatesRequestSchema,\n  ListToolsRequestSchema,\n  McpError,\n  ReadResourceRequestSchema,\n} from '@modelcontextprotocol/sdk/types.js';\nimport axios from 'axios';\n\nconst API_KEY = process.env.OPENWEATHER_API_KEY; // provided by MCP config\nif (!API_KEY) {\n  throw new Error('OPENWEATHER_API_KEY environment variable is required');\n}\n\ninterface OpenWeatherResponse {\n  main: {\n    temp: number;\n    humidity: number;\n  };\n  weather: [{ description: string }];\n  wind: { speed: number };\n  dt_txt?: string;\n}\n\nconst isValidForecastArgs = (\n  args: any\n): args is { city: string; days?: number } =>\n  typeof args === 'object' &&\n  args !== null &&\n  typeof args.city === 'string' &&\n  (args.days === undefined || typeof args.days === 'number');\n\nclass WeatherServer {\n  private server: Server;\n  private axiosInstance;\n\n  constructor() {\n    this.server = new Server(\n      {\n        name: 'example-weather-server',\n        version: '0.1.0',\n      },\n      {\n        capabilities: {\n          resources: {},\n          tools: {},\n        },\n      }\n    );\n\n    this.axiosInstance = axios.create({\n      baseURL: 'http://api.openweathermap.org/data/2.5',\n      params: {\n        appid: API_KEY,\n        units: 'metric',\n      },\n    });\n\n    this.setupResourceHandlers();\n    this.setupToolHandlers();\n    \n    // Error handling\n    this.server.onerror = (error) => console.error('[MCP Error]', error);\n    process.on('SIGINT', async () => {\n      await this.server.close();\n      process.exit(0);\n    });\n  }\n\n  // MCP Resources represent any kind of UTF-8 encoded data that an MCP server wants to make available to clients, such as database records, API responses, log files, and more. Servers define direct resources with a static URI or dynamic resources with a URI template that follows the format `[protocol]://[host]/[path]`.\n  private setupResourceHandlers() {\n    // For static resources, servers can expose a list of resources:\n    this.server.setRequestHandler(ListResourcesRequestSchema, async () => ({\n      resources: [\n        // This is a poor example since you could use the resource template to get the same information but this demonstrates how to define a static resource\n        {\n          uri: `weather://San Francisco/current`, // Unique identifier for San Francisco weather resource\n          name: `Current weather in San Francisco`, // Human-readable name\n          mimeType: 'application/json', // Optional MIME type\n          // Optional description\n          description:\n            'Real-time weather data for San Francisco including temperature, conditions, humidity, and wind speed',\n        },\n      ],\n    }));\n\n    // For dynamic resources, servers can expose resource templates:\n    this.server.setRequestHandler(\n      ListResourceTemplatesRequestSchema,\n      async () => ({\n        resourceTemplates: [\n          {\n            uriTemplate: 'weather://{city}/current', // URI template (RFC 6570)\n            name: 'Current weather for a given city', // Human-readable name\n            mimeType: 'application/json', // Optional MIME type\n            description: 'Real-time weather data for a specified city', // Optional description\n          },\n        ],\n      })\n    );\n\n    // ReadResourceRequestSchema is used for both static resources and dynamic resource templates\n    this.server.setRequestHandler(\n      ReadResourceRequestSchema,\n      async (request) => {\n        const match = request.params.uri.match(\n          /^weather://([^/]+)/current$/\n        );\n        if (!match) {\n          throw new McpError(\n            ErrorCode.InvalidRequest,\n            `Invalid URI format: ${request.params.uri}`\n          );\n        }\n        const city = decodeURIComponent(match[1]);\n\n        try {\n          const response = await this.axiosInstance.get(\n            'weather', // current weather\n            {\n              params: { q: city },\n            }\n          );\n\n          return {\n            contents: [\n              {\n                uri: request.params.uri,\n                mimeType: 'application/json',\n                text: JSON.stringify(\n                  {\n                    temperature: response.data.main.temp,\n                    conditions: response.data.weather[0].description,\n                    humidity: response.data.main.humidity,\n                    wind_speed: response.data.wind.speed,\n                    timestamp: new Date().toISOString(),\n                  },\n                  null,\n                  2\n                ),\n              },\n            ],\n          };\n        } catch (error) {\n          if (axios.isAxiosError(error)) {\n            throw new McpError(\n              ErrorCode.InternalError,\n              `Weather API error: ${\n                error.response?.data.message ?? error.message\n              }`\n            );\n          }\n          throw error;\n        }\n      }\n    );\n  }\n\n  /* MCP Tools enable servers to expose executable functionality to the system. Through these tools, you can interact with external systems, perform computations, and take actions in the real world.\n   * - Like resources, tools are identified by unique names and can include descriptions to guide their usage. However, unlike resources, tools represent dynamic operations that can modify state or interact with external systems.\n   * - While resources and tools are similar, you should prefer to create tools over resources when possible as they provide more flexibility.\n   */\n  private setupToolHandlers() {\n    this.server.setRequestHandler(ListToolsRequestSchema, async () => ({\n      tools: [\n        {\n          name: 'get_forecast', // Unique identifier\n          description: 'Get weather forecast for a city', // Human-readable description\n          inputSchema: {\n            // JSON Schema for parameters\n            type: 'object',\n            properties: {\n              city: {\n                type: 'string',\n                description: 'City name',\n              },\n              days: {\n                type: 'number',\n                description: 'Number of days (1-5)',\n                minimum: 1,\n                maximum: 5,\n              },\n            },\n            required: ['city'], // Array of required property names\n          },\n        },\n      ],\n    }));\n\n    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {\n      if (request.params.name !== 'get_forecast') {\n        throw new McpError(\n          ErrorCode.MethodNotFound,\n          `Unknown tool: ${request.params.name}`\n        );\n      }\n\n      if (!isValidForecastArgs(request.params.arguments)) {\n        throw new McpError(\n          ErrorCode.InvalidParams,\n          'Invalid forecast arguments'\n        );\n      }\n\n      const city = request.params.arguments.city;\n      const days = Math.min(request.params.arguments.days || 3, 5);\n\n      try {\n        const response = await this.axiosInstance.get<{\n          list: OpenWeatherResponse[];\n        }>('forecast', {\n          params: {\n            q: city,\n            cnt: days * 8,\n          },\n        });\n\n        return {\n          content: [\n            {\n              type: 'text',\n              text: JSON.stringify(response.data.list, null, 2),\n            },\n          ],\n        };\n      } catch (error) {\n        if (axios.isAxiosError(error)) {\n          return {\n            content: [\n              {\n                type: 'text',\n                text: `Weather API error: ${\n                  error.response?.data.message ?? error.message\n                }`,\n              },\n            ],\n            isError: true,\n          };\n        }\n        throw error;\n      }\n    });\n  }\n\n  async run() {\n    const transport = new StdioServerTransport();\n    await this.server.connect(transport);\n    console.error('Weather MCP server running on stdio');\n  }\n}\n\nconst server = new WeatherServer();\nserver.run().catch(console.error);\n```\n\n(Remember: This is just an example–you may use different dependencies, break the implementation up into multiple files, etc.)\n\n3. Build and compile the executable JavaScript file\n\n```bash\nnpm run build\n```\n\n4. Whenever you need an environment variable such as an API key to configure the MCP server, walk the user through the process of getting the key. For example, they may need to create an account and go to a developer dashboard to generate the key. Provide step-by-step instructions and URLs to make it easy for the user to retrieve the necessary information. Then use the ask_followup_question tool to ask the user for the key, in this case the OpenWeather API key.\n\n5. Install the MCP Server by adding the MCP server configuration to the settings file located at '/Users/talentxiet/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json'. The settings file may have other MCP servers already configured, so you would read it first and then add your new server to the existing `mcpServers` object.\n\nIMPORTANT: Regardless of what else you see in the MCP settings file, you must default any new MCP servers you create to disabled=false and autoApprove=[].\n\n```json\n{\n  \"mcpServers\": {\n    ...,\n    \"weather\": {\n      \"command\": \"node\",\n      \"args\": [\"/path/to/weather-server/build/index.js\"],\n      \"env\": {\n        \"OPENWEATHER_API_KEY\": \"user-provided-api-key\"\n      }\n    },\n  }\n}\n```\n\n(Note: the user may also ask you to install the MCP server to the Claude desktop app, in which case you would read then modify `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS for example. It follows the same format of a top level `mcpServers` object.)\n\n6. After you have edited the MCP settings configuration file, the system will automatically run all the servers and expose the available tools and resources in the 'Connected MCP Servers' section. (Note: If you encounter a 'not connected' error when testing a newly installed mcp server, a common cause is an incorrect build path in your MCP settings configuration. Since compiled JavaScript files are commonly output to either 'dist/' or 'build/' directories, double-check that the build path in your MCP settings matches where your files are actually being compiled. E.g. If you assumed 'build' as the folder, check tsconfig.json to see if it's using 'dist' instead.)\n\n7. Now that you have access to these new tools and resources, you may suggest ways the user can command you to invoke them - for example, with this new weather tool now available, you can invite the user to ask \"what's the weather in San Francisco?\"\n\n## Editing MCP Servers\n\nThe user may ask to add tools or resources that may make sense to add to an existing MCP server (listed under 'Connected MCP Servers' below: github.com/executeautomation/mcp-playwright, e.g. if it would use the same API. This would be possible if you can locate the MCP server repository on the user's system by looking at the server arguments for a filepath. You might then use list_files and read_file to explore the files in the repository, and use replace_in_file to make changes to the files.\n\nHowever some MCP servers may be running from installed packages rather than a local repository, in which case it may make more sense to create a new MCP server.\n\n# MCP Servers Are Not Always Necessary\n\nThe user may not always request the use or creation of MCP servers. Instead, they might provide tasks that can be completed with existing tools. While using the MCP SDK to extend your capabilities can be useful, it's important to understand that this is just one specialized type of task you can accomplish. You should only implement MCP servers when the user explicitly requests it (e.g., \"add a tool that...\").\n\nRemember: The MCP documentation and example provided above are to help you understand and work with existing MCP servers or create new ones when requested by the user. You already have access to tools and capabilities that can be used to accomplish a wide range of tasks.\n\n\n====\n\nEDITING FILES\n\nYou have access to two tools for working with files: **write_to_file** and **replace_in_file**. Understanding their roles and selecting the right one for the job will help ensure efficient and accurate modifications.\n\n# write_to_file\n\n## Purpose\n\n- Create a new file, or overwrite the entire contents of an existing file.\n\n## When to Use\n\n- Initial file creation, such as when scaffolding a new project.  \n- Overwriting large boilerplate files where you want to replace the entire content at once.\n- When the complexity or number of changes would make replace_in_file unwieldy or error-prone.\n- When you need to completely restructure a file's content or change its fundamental organization.\n\n## Important Considerations\n\n- Using write_to_file requires providing the file's complete final content.  \n- If you only need to make small changes to an existing file, consider using replace_in_file instead to avoid unnecessarily rewriting the entire file.\n- While write_to_file should not be your default choice, don't hesitate to use it when the situation truly calls for it.\n\n# replace_in_file\n\n## Purpose\n\n- Make targeted edits to specific parts of an existing file without overwriting the entire file.\n\n## When to Use\n\n- Small, localized changes like updating a few lines, function implementations, changing variable names, modifying a section of text, etc.\n- Targeted improvements where only specific portions of the file's content needs to be altered.\n- Especially useful for long files where much of the file will remain unchanged.\n\n## Advantages\n\n- More efficient for minor edits, since you don't need to supply the entire file content.  \n- Reduces the chance of errors that can occur when overwriting large files.\n\n# Choosing the Appropriate Tool\n\n- **Default to replace_in_file** for most changes. It's the safer, more precise option that minimizes potential issues.\n- **Use write_to_file** when:\n  - Creating new files\n  - The changes are so extensive that using replace_in_file would be more complex or risky\n  - You need to completely reorganize or restructure a file\n  - The file is relatively small and the changes affect most of its content\n  - You're generating boilerplate or template files\n\n# Auto-formatting Considerations\n\n- After using either write_to_file or replace_in_file, the user's editor may automatically format the file\n- This auto-formatting may modify the file contents, for example:\n  - Breaking single lines into multiple lines\n  - Adjusting indentation to match project style (e.g. 2 spaces vs 4 spaces vs tabs)\n  - Converting single quotes to double quotes (or vice versa based on project preferences)\n  - Organizing imports (e.g. sorting, grouping by type)\n  - Adding/removing trailing commas in objects and arrays\n  - Enforcing consistent brace style (e.g. same-line vs new-line)\n  - Standardizing semicolon usage (adding or removing based on style)\n- The write_to_file and replace_in_file tool responses will include the final state of the file after any auto-formatting\n- Use this final state as your reference point for any subsequent edits. This is ESPECIALLY important when crafting SEARCH blocks for replace_in_file which require the content to match what's in the file exactly.\n\n# Workflow Tips\n\n1. Before editing, assess the scope of your changes and decide which tool to use.\n2. For targeted edits, apply replace_in_file with carefully crafted SEARCH/REPLACE blocks. If you need multiple changes, you can stack multiple SEARCH/REPLACE blocks within a single replace_in_file call.\n3. For major overhauls or initial file creation, rely on write_to_file.\n4. Once the file has been edited with either write_to_file or replace_in_file, the system will provide you with the final state of the modified file. Use this updated content as the reference point for any subsequent SEARCH/REPLACE operations, since it reflects any auto-formatting or user-applied changes.\n\nBy thoughtfully selecting between write_to_file and replace_in_file, you can make your file editing process smoother, safer, and more efficient.\n\n====\n \nACT MODE V.S. PLAN MODE\n\nIn each user message, the environment_details will specify the current mode. There are two modes:\n\n- ACT MODE: In this mode, you have access to all tools EXCEPT the plan_mode_response tool.\n - In ACT MODE, you use tools to accomplish the user's task. Once you've completed the user's task, you use the attempt_completion tool to present the result of the task to the user.\n- PLAN MODE: In this special mode, you have access to the plan_mode_response tool.\n - In PLAN MODE, the goal is to gather information and get context to create a detailed plan for accomplishing the task, which the user will review and approve before they switch you to ACT MODE to implement the solution.\n - In PLAN MODE, when you need to converse with the user or present a plan, you should use the plan_mode_response tool to deliver your response directly, rather than using <thinking> tags to analyze when to respond. Do not talk about using plan_mode_response - just use it directly to share your thoughts and provide helpful answers.\n\n## What is PLAN MODE?\n\n- While you are usually in ACT MODE, the user may switch to PLAN MODE in order to have a back and forth with you to plan how to best accomplish the task. \n- When starting in PLAN MODE, depending on the user's request, you may need to do some information gathering e.g. using read_file or search_files to get more context about the task. You may also ask the user clarifying questions to get a better understanding of the task. You may return mermaid diagrams to visually display your understanding.\n- Once you've gained more context about the user's request, you should architect a detailed plan for how you will accomplish the task. Returning mermaid diagrams may be helpful here as well.\n- Then you might ask the user if they are pleased with this plan, or if they would like to make any changes. Think of this as a brainstorming session where you can discuss the task and plan the best way to accomplish it.\n- If at any point a mermaid diagram would make your plan clearer to help the user quickly see the structure, you are encouraged to include a Mermaid code block in the response. (Note: if you use colors in your mermaid diagrams, be sure to use high contrast colors so the text is readable.)\n- Finally once it seems like you've reached a good plan, ask the user to switch you back to ACT MODE to implement the solution.\n\n====\n \nCAPABILITIES\n\n- You have access to tools that let you execute CLI commands on the user's computer, list files, view source code definitions, regex search, read and edit files, and ask follow-up questions. These tools help you effectively accomplish a wide range of tasks, such as writing code, making edits or improvements to existing files, understanding the current state of a project, performing system operations, and much more.\n- When the user initially gives you a task, a recursive list of all filepaths in the current working directory ('/Users/talentxiet/Documents/Workspace/study/AI/mcp_playground') will be included in environment_details. This provides an overview of the project's file structure, offering key insights into the project from directory/file names (how developers conceptualize and organize their code) and file extensions (the language used). This can also guide decision-making on which files to explore further. If you need to further explore directories such as outside the current working directory, you can use the list_files tool. If you pass 'true' for the recursive parameter, it will list files recursively. Otherwise, it will list files at the top level, which is better suited for generic directories where you don't necessarily need the nested structure, like the Desktop.\n- You can use search_files to perform regex searches across files in a specified directory, outputting context-rich results that include surrounding lines. This is particularly useful for understanding code patterns, finding specific implementations, or identifying areas that need refactoring.\n- You can use the list_code_definition_names tool to get an overview of source code definitions for all files at the top level of a specified directory. This can be particularly useful when you need to understand the broader context and relationships between certain parts of the code. You may need to call this tool multiple times to understand various parts of the codebase related to the task.\n\t- For example, when asked to make edits or improvements you might analyze the file structure in the initial environment_details to get an overview of the project, then use list_code_definition_names to get further insight using source code definitions for files located in relevant directories, then read_file to examine the contents of relevant files, analyze the code and suggest improvements or make necessary edits, then use the replace_in_file tool to implement changes. If you refactored code that could affect other parts of the codebase, you could use search_files to ensure you update other files as needed.\n- You can use the execute_command tool to run commands on the user's computer whenever you feel it can help accomplish the user's task. When you need to execute a CLI command, you must provide a clear explanation of what the command does. Prefer to execute complex CLI commands over creating executable scripts, since they are more flexible and easier to run. Interactive and long-running commands are allowed, since the commands are run in the user's VSCode terminal. The user may keep commands running in the background and you will be kept updated on their status along the way. Each command you execute is run in a new terminal instance.\n\n- You have access to MCP servers that may provide additional tools and resources. Each server may provide different capabilities that you can use to accomplish tasks more effectively.\n\n\n====\n\nRULES\n\n- Your current working directory is: /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground\n- You cannot `cd` into a different directory to complete a task. You are stuck operating from '/Users/talentxiet/Documents/Workspace/study/AI/mcp_playground', so be sure to pass in the correct 'path' parameter when using tools that require a path.\n- Do not use the ~ character or $HOME to refer to the home directory.\n- Before using the execute_command tool, you must first think about the SYSTEM INFORMATION context provided to understand the user's environment and tailor your commands to ensure they are compatible with their system. You must also consider if the command you need to run should be executed in a specific directory outside of the current working directory '/Users/talentxiet/Documents/Workspace/study/AI/mcp_playground', and if so prepend with `cd`'ing into that directory && then executing the command (as one command since you are stuck operating from '/Users/talentxiet/Documents/Workspace/study/AI/mcp_playground'). For example, if you needed to run `npm install` in a project outside of '/Users/talentxiet/Documents/Workspace/study/AI/mcp_playground', you would need to prepend with a `cd` i.e. pseudocode for this would be `cd (path to project) && (command, in this case npm install)`.\n- When using the search_files tool, craft your regex patterns carefully to balance specificity and flexibility. Based on the user's task you may use it to find code patterns, TODO comments, function definitions, or any text-based information across the project. The results include context, so analyze the surrounding code to better understand the matches. Leverage the search_files tool in combination with other tools for more comprehensive analysis. For example, use it to find specific code patterns, then use read_file to examine the full context of interesting matches before using replace_in_file to make informed changes.\n- When creating a new project (such as an app, website, or any software project), organize all new files within a dedicated project directory unless the user specifies otherwise. Use appropriate file paths when creating files, as the write_to_file tool will automatically create any necessary directories. Structure the project logically, adhering to best practices for the specific type of project being created. Unless otherwise specified, new projects should be easily run without additional setup, for example most projects can be built in HTML, CSS, and JavaScript - which you can open in a browser.\n- Be sure to consider the type of project (e.g. Python, JavaScript, web application) when determining the appropriate structure and files to include. Also consider what files may be most relevant to accomplishing the task, for example looking at a project's manifest file would help you understand the project's dependencies, which you could incorporate into any code you write.\n- When making changes to code, always consider the context in which the code is being used. Ensure that your changes are compatible with the existing codebase and that they follow the project's coding standards and best practices.\n- When you want to modify a file, use the replace_in_file or write_to_file tool directly with the desired changes. You do not need to display the changes before using the tool.\n- Do not ask for more information than necessary. Use the tools provided to accomplish the user's request efficiently and effectively. When you've completed your task, you must use the attempt_completion tool to present the result to the user. The user may provide feedback, which you can use to make improvements and try again.\n- You are only allowed to ask the user questions using the ask_followup_question tool. Use this tool only when you need additional details to complete a task, and be sure to use a clear and concise question that will help you move forward with the task. However if you can use the available tools to avoid having to ask the user questions, you should do so. For example, if the user mentions a file that may be in an outside directory like the Desktop, you should use the list_files tool to list the files in the Desktop and check if the file they are talking about is there, rather than asking the user to provide the file path themselves.\n- When executing commands, if you don't see the expected output, assume the terminal executed the command successfully and proceed with the task. The user's terminal may be unable to stream the output back properly. If you absolutely need to see the actual terminal output, use the ask_followup_question tool to request the user to copy and paste it back to you.\n- The user may provide a file's contents directly in their message, in which case you shouldn't use the read_file tool to get the file contents again since you already have it.\n- Your goal is to try to accomplish the user's task, NOT engage in a back and forth conversation.\n- NEVER end attempt_completion result with a question or request to engage in further conversation! Formulate the end of your result in a way that is final and does not require further input from the user.\n- You are STRICTLY FORBIDDEN from starting your messages with \"Great\", \"Certainly\", \"Okay\", \"Sure\". You should NOT be conversational in your responses, but rather direct and to the point. For example you should NOT say \"Great, I've updated the CSS\" but instead something like \"I've updated the CSS\". It is important you be clear and technical in your messages.\n- When presented with images, utilize your vision capabilities to thoroughly examine them and extract meaningful information. Incorporate these insights into your thought process as you accomplish the user's task.\n- At the end of each user message, you will automatically receive environment_details. This information is not written by the user themselves, but is auto-generated to provide potentially relevant context about the project structure and environment. While this information can be valuable for understanding the project context, do not treat it as a direct part of the user's request or response. Use it to inform your actions and decisions, but don't assume the user is explicitly asking about or referring to this information unless they clearly do so in their message. When using environment_details, explain your actions clearly to ensure the user understands, as they may not be aware of these details.\n- Before executing commands, check the \"Actively Running Terminals\" section in environment_details. If present, consider how these active processes might impact your task. For example, if a local development server is already running, you wouldn't need to start it again. If no active terminals are listed, proceed with command execution as normal.\n- When using the replace_in_file tool, you must include complete lines in your SEARCH blocks, not partial lines. The system requires exact line matches and cannot match partial lines. For example, if you want to match a line containing \"const x = 5;\", your SEARCH block must include the entire line, not just \"x = 5\" or other fragments.\n- When using the replace_in_file tool, if you use multiple SEARCH/REPLACE blocks, list them in the order they appear in the file. For example if you need to make changes to both line 10 and line 50, first include the SEARCH/REPLACE block for line 10, followed by the SEARCH/REPLACE block for line 50.\n- It is critical you wait for the user's response after each tool use, in order to confirm the success of the tool use. For example, if asked to make a todo app, you would create a file, wait for the user's response it was created successfully, then create another file if needed, wait for the user's response it was created successfully, etc.\n\n- MCP operations should be used one at a time, similar to other tool usage. Wait for confirmation of success before proceeding with additional operations.\n\n\n====\n\nSYSTEM INFORMATION\n\nOperating System: macOS Monterey\nDefault Shell: /bin/bash\nHome Directory: /Users/talentxiet\nCurrent Working Directory: /Users/talentxiet/Documents/Workspace/study/AI/mcp_playground\n\n====\n\nOBJECTIVE\n\nYou accomplish a given task iteratively, breaking it down into clear steps and working through them methodically.\n\n1. Analyze the user's task and set clear, achievable goals to accomplish it. Prioritize these goals in a logical order.\n2. Work through these goals sequentially, utilizing available tools one at a time as necessary. Each goal should correspond to a distinct step in your problem-solving process. You will be informed on the work completed and what's remaining as you go.\n3. Remember, you have extensive capabilities with access to a wide range of tools that can be used in powerful and clever ways as necessary to accomplish each goal. Before calling a tool, do some analysis within <thinking></thinking> tags. First, analyze the file structure provided in environment_details to gain context and insights for proceeding effectively. Then, think about which of the provided tools is the most relevant tool to accomplish the user's task. Next, go through each of the required parameters of the relevant tool and determine if the user has directly provided or given enough information to infer a value. When deciding if the parameter can be inferred, carefully consider all the context to see if it supports a specific value. If all of the required parameters are present or can be reasonably inferred, close the thinking tag and proceed with the tool use. BUT, if one of the values for a required parameter is missing, DO NOT invoke the tool (not even with fillers for the missing params) and instead, ask the user to provide the missing parameters using the ask_followup_question tool. DO NOT ask for more information on optional parameters if it is not provided.\n4. Once you've completed the user's task, you must use the attempt_completion tool to present the result of the task to the user. You may also provide a CLI command to showcase the result of your task; this can be particularly useful for web development tasks, where you can run e.g. `open index.html` to show the website you've built.\n5. The user may provide feedback, which you can use to make improvements and try again. But DO NOT continue in pointless back and forth conversations, i.e. don't end your responses with questions or offers for further assistance.\n====\n\nUSER'S CUSTOM INSTRUCTIONS\n\nThe following additional instructions are provided by the user, and should be followed to the best of your ability without interfering with the TOOL USE guidelines.\n\n# Preferred Language\n\nSpeak in zh-CN.\n\n\"Speak in Chinese.\" \"MUST USE playwright tool to search and fetch information on the internet\" \"Use Bing as default web search engine\""
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "<task>\n上网搜索一下有关一招大模型的信息，挑几篇网页详细阅读一下，之后整理出一篇详细的介绍并保存到本地yizhao.md文件，注意标好引用链接地址。\n</task>"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:03:03 (Asia/Shanghai, UTC+8:00)\n\n# Current Working Directory (/Users/talentxiet/Documents/Workspace/study/AI/mcp_playground) Files\nNo files found.\n\n# Current Mode\nPLAN MODE\nIn this mode you should focus on information gathering, asking questions, and architecting a solution. Once you have a plan, use the plan_mode_response tool to engage in a conversational back and forth with the user. Do not use the plan_mode_response tool until you've gathered all the information you need e.g. with read_file or ask_followup_question.\n(Remember: If it seems the user wants you to use tools only available in Act Mode, you should ask the user to \"toggle to Act mode\" (use those words) - they will have to manually do this themselves with the Plan/Act toggle button below. You do not have the ability to switch to Act Mode yourself, and must wait for the user to do it themselves once they are satisfied with the plan. You also cannot present an option to toggle to Act mode, as this will be something you need to direct the user to do manually themselves.)\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n1. 任务需要上网搜索\"一招大模型\"相关信息，并整理成Markdown文件\n2. 需要使用Playwright工具进行网页搜索和内容抓取\n3. 需要将最终结果保存为yizhao.md文件\n4. 当前处于PLAN MODE，需要先制定计划\n\n计划步骤：\n1. 使用Playwright工具在Bing上搜索\"一招大模型\"\n2. 打开搜索结果中的前几个网页\n3. 提取网页主要内容\n4. 整理提取的内容，添加引用链接\n5. 将整理好的内容写入yizhao.md文件\n\n需要用户切换到ACT MODE来执行这些操作\n</thinking>\n\n<plan_mode_response>\n<response>\n我已制定好完成任务的计划：\n\n1. 使用Playwright在Bing上搜索\"一招大模型\"\n2. 打开前3-5个搜索结果网页\n3. 提取网页主要内容\n4. 整理内容并添加引用链接\n5. 将最终结果保存为yizhao.md文件\n\n请切换到ACT MODE，我将开始执行这些步骤。\n</response>\n</plan_mode_response>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[plan_mode_response] Result:"
        },
        {
          "type": "text",
          "text": "[The user has switched to ACT MODE, so you may now proceed with the task.]"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:03:21 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n现在处于ACT MODE，开始执行计划。\n\n首先使用Playwright在Bing上搜索\"一招大模型\"。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_navigate</tool_name>\n<arguments>\n{\n  \"url\": \"https://www.bing.com/search?q=一招大模型\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Navigated to https://www.bing.com/search?q=一招大模型"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:03:34 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n已经成功导航到Bing搜索结果页。\n\n接下来，我将获取搜索结果的链接。我将使用`playwright_evaluate`来执行JavaScript代码，从页面中提取链接。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_evaluate</tool_name>\n<arguments>\n{\n  \"script\": \"Array.from(document.querySelectorAll('li.b_algo a')).map(a => a.href)\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Executed JavaScript:\n\nArray.from(document.querySelectorAll('li.b_algo a')).map(a => a.href)\n\nResult:\n\n[\n  \"https://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat\",\n  \"https://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat\",\n  \"https://www.modelscope.cn/datasets/CMB_AILab/YiZhao-FinDataSet\",\n  \"https://cn.bing.com/search?q=site:modelscope.cn+%e4%b8%80%e6%8b%9b%e5%a4%a7%e6%a8%a1%e5%9e%8b&form=DLINKR\",\n  \"https://cj.sina.com.cn/articles/view/5816954579/15ab7aed301901e374\",\n  \"https://cj.sina.com.cn/articles/view/5816954579/15ab7aed301901e374\",\n  \"https://k.sina.com.cn/article_5816954579_15ab7aed301901e374.html\",\n  \"https://k.sina.com.cn/article_5816954579_15ab7aed301901e374.html\",\n  \"https://finance.sina.cn/2025-01-03/detail-inecsvux6431783.d.html\",\n  \"https://finance.sina.cn/2025-01-03/detail-inecsvux6431783.d.html\",\n  \"https://finance.sina.cn/2024-12-17/detail-inczukxm4777233.d.html\",\n  \"https://finance.sina.cn/2024-12-17/detail-inczukxm4777233.d.html\",\n  \"https://www.modelscope.cn/datasets/CMB_AILab/YiZhao-FinDataSet\",\n  \"https://www.modelscope.cn/datasets/CMB_AILab/YiZhao-FinDataSet\",\n  \"https://www.iyiou.com/data/202412111085188\",\n  \"https://www.iyiou.com/data/202412111085188\",\n  \"https://finance.sina.com.cn/tob/2024-12-11/doc-inczafmv0853031.shtml\",\n  \"https://finance.sina.com.cn/tob/2024-12-11/doc-inczafmv0853031.shtml\",\n  \"https://finance.sina.com.cn/roll/2025-01-03/doc-inecsvux6431783.shtml\",\n  \"https://finance.sina.com.cn/roll/2025-01-03/doc-inecsvux6431783.shtml\",\n  \"https://baijiahao.baidu.com/s?id=1818122776352809538\",\n  \"https://baijiahao.baidu.com/s?id=1818122776352809538\"\n]"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:03:39 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n获取到搜索结果链接。现在挑选几个链接进行访问和内容提取。\n\n选择以下几个链接：\n\n1.  `https://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat` (ModelScope模型页面)\n2.  `https://cj.sina.com.cn/articles/view/5816954579/15ab7aed301901e374` (新浪财经文章)\n3.  `https://www.iyiou.com/data/202412111085188` (亿欧数据)\n4. `https://baijiahao.baidu.com/s?id=1818122776352809538` (百度百家号)\n\n依次访问这些链接，并提取主要内容。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_navigate</tool_name>\n<arguments>\n{\n  \"url\": \"https://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Navigated to https://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:03:55 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n已导航到第一个链接。现在提取页面内容。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_evaluate</tool_name>\n<arguments>\n{\n  \"script\": \"document.body.innerText\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Executed JavaScript:\n\ndocument.body.innerText\n\nResult:\n\n\"首页\\n模型库\\n数据集\\n创空间\\nAIGC专区\\n文档中心\\n社区\\nGitHub\\n登录 / 注册\\n一招-12B-Chat\\nCMB_AILab/YiZhao-12B-Chat\\nYiZhao\\n@招商银行人工智能实验室提供62下载2025-01-14更新\\nNotebook快速开发\\n喜欢\\n加入合集\\n模型介绍\\n模型文件\\n交流反馈3\\n一招（YiZhao)使用指南\\n\\n大模型金融能力榜单 • 模型文件 • 开源数据\\n\\n目录\\n模型介绍\\n效果评测\\n快速开始\\n声明与协议\\n最新动态\\n2024年12月10日 开源2TB高质量多模态的大模型训练数据集\\n模型介绍\\n\\n一招（YiZhao)是招商银行联合华为、智谱AI，在全国产的设备与训练框架下训练形成的金融领域大语言模型系列。我们首先在大规模高质量数据上进行预训练，再通过高质量金融数据进行后期微调（SFT），最后通过直接偏好优化（DPO）进一步优化模型，最终训练出了YiZhao-12B-Chat。YiZhao-12B-Chat具备自然语言理解、文本生成、舆情事件抽取、工具使用、对话互动等多种功能。YiZhao-12B-Chat是一个专为金融领域设计的 120亿参数大型语言模型，支持32K上下文长度。 主要特点包括：\\n\\n对海量通用语料与金融语料进行了多维度数据清洗与筛选，保证训练数据的数量和质量。\\n\\nYiZhao-12B-Chat是基于GLM（General Language Model）架构的中英双语对话模型，具有120亿参数，对问答和对话场景进行了优化。\\n\\nYiZhao-12B-Chat完全基于国产算力和国产深度学习框架MindSpore进行训练，算力和算法框架更自主可控。\\n\\n这款模型在云端私有化部署后，可以为企业和个人提供高效、灵活的智能对话解决方案。\\n\\n下载链接：\\n\\n社区\\t下载地址\\n魔搭社区（mindspore）\\thttps://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat/\\n魔搭社区（safetensor）\\thttps://modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat-HF\\n魔乐社区 （mindspore）\\thttps://modelers.cn/models/CMB_AI_Lab/YiZhao-12B-Chat/\\n码云\\thttps://gitee.com/mindspore/mindformers/tree/dev/research/yizhao\\n效果评测\\n\\n效果评测包括通用能力评测和金融领域评测。模型在保持通用能力的基础上进一步提升了金融领域能力。\\n\\n1. 通用评测\\n\\n在通用领域评测中，我们选择当下主流的几类客观评测基准，见下表：\\n\\n能力\\t任务\\t描述\\n逻辑推理\\tARC Challenge\\tARC问题需要多种类型的知识与推理，包括定义、基本事实和属性、结构、过程与因果、目的论、代数、实验、空间/运动学、类比等，ARC问题集包含7787个自然科学问题\\n中文知识\\tCMMLU\\t67个学科中文考试题\\n数学能力\\tGSM8K\\t8.5k个样例，数学推理能力\\n通用知识\\tMMLU\\tMMLU 是一个涵盖STEM、人文学科、社会科学等57个学科领域(例如：数学、法律、伦理等)的评测基准，旨在考察大语言模型将知识运用于问题解决的能力\\n指令遵从\\tIFEval\\t确定了25种可验证的指令类型，500个包含一个或多个可验证指令的提示（prompts）\\n测试结果如下：\\n模型\\t逻辑推理\\t中文知识\\t数学能力\\t通用知识\\t指令遵从\\n\\tarc_challenge\\tcmmlu\\tgsm8k\\tmmlu\\tifeval\\n一招-12B-Chat\\t0.9331\\t0.7158\\t0.8993\\t0.7192\\t0.5432\\n小结：\\n\\nYiZhao-12B在通用评测集方面均有出色表现。\\n\\nYiZhao-12B的预训练方案并没有牺牲过多模型通用能力，而且增量训练数据中的中文金融数据，也一定程度地增强了模型的逻辑推理、中文、数学等能力。\\n\\n2. 金融评测\\n\\n金融评测主要包括以下三个测试：\\n\\n任务\\t描述\\nCCKS-IJCKG：DFMEB\\t为了推动LLM在数字金融领域的发展，并解决实际金融业务问题。招商银行联合中科院自动化所、科大讯飞股份有限公司，结合实际生产场景，推出数字金融领域评测基准（Digital Finance Model Evaluation Benchmark，DFMEB）。该评测基准包含六大场景（知识问答、文本理解、内容生成、逻辑推理、安全合规、AI智能体），涵盖69种金融任务，有利于帮助开源社区和业界快速评测公开或者自研LLM。\\nCFBenchmark-OpenFinData\\t“书生•济世”中文金融评测基准（CFBenchmark）基础版本由CFBenchmark-Basic（全部为主观题，不参与测评）和CFBenchmark-OpenFinData两部分数据组成。OpenFinData是由东方财富与上海人工智能实验室联合发布的开源金融评测数据集。该数据集代表了最真实的产业场景需求，是目前场景最全、专业性最深的金融评测数据集。它基于东方财富实际金融业务的多样化丰富场景，旨在为金融科技领域的研究者和开发者提供一个高质量的数据资源。\\nFinancelQ\\tFinanceIQ是一个专业的金融领域评测集，其涵盖了10个金融大类及36个金融小类，总计7173个单项选择题，某种程度上可客观反应模型的金融能力。\\n测试结果如下：\\n模型\\tCCKS-IJCKG：DFMEB\\tCFBenchmark-OpenFinData\\tFinancelQ\\n一招-12B-Chat\\t0.8218\\t0.8798\\t0.6867\\n小结：\\n\\nYiZhao-12B-Chat在金融测评方面表现优异。\\n\\nYiZhao-12B-Chat有着较强的专业知识能力，在金融分析、金融考核、金融安全合规、风险检查等多个专业领域维度有着出色的表现。\\n\\n快速开始\\n\\nYiZhao-12B-Chat模型已发布在魔搭社区、魔乐社区，请根据上述链接进行下载。下方为模型的推理部署使用方法。\\n\\n依赖软件\\n\\n下表列出了运行一招推理所需的环境和第三方依赖。\\n\\n软件名称\\t版本\\t作用\\nMindSpore\\t2.4.0\\t深度学习框架\\nMindSpore Transformers\\t1.3.0\\t大模型全流程开发套件\\nCANN\\t8.0.RC3.beta1\\t昇腾异构计算架构\\nsympy\\t1.13.3\\t三方依赖包\\nPython\\t3.10\\tMindSpore的使用依赖Python环境\\nGCC\\t7.3.0\\t用于编译MindSpore的C++编译器\\n\\n注：MindSpore官网介绍：https://www.mindspore.cn/\\n\\n安装指导\\n1. 安装CANN\\n\\n下载CANN社区版，选择8.0.RC3.beta1版本，按顺序执行：\\n\\n./Ascend-cann-toolkit_8.0.RC3_linux-aarch64.run --install --install-for-all --install-path=/usr/local/Ascend/\\n./Ascend-cann-kernels-910b_8.0.RC3_linux-aarch64.run --install --install-path=/usr/local/Ascend/\\n\\n\\n安装完毕后执行：\\n\\npip uninstall te topi hccl -y\\npip install sympy\\npip install /usr/local/Ascend/ascend-toolkit/latest/lib64/te-*-py3-none-any.whl\\npip install /usr/local/Ascend/ascend-toolkit/latest/lib64/hccl-*-py3-none-any.whl\\n\\n2. 安装MindSpore\\npip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.4.0/MindSpore/unified/aarch64/mindspore-2.4.0-cp310-cp310-linux_aarch64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple\\n\\n\\n验证MindSpore与CANN是否安装成功：\\n\\nsource /usr/local/Ascend/ascend-toolkit/set_env.sh # 每次运行时都需要设置此环境变量\\npython -c \\\"import mindspore;mindspore.set_context(device_target='Ascend');mindspore.run_check()\\\"\\n\\n3. 安装MindSpore Transformers\\npip install mindformers==1.3.0\\n\\n4. 安装openmind-hub\\npip install openmind-hub  #如需自动下载，需要安装额外依赖openmind-hub\\n\\n代码示例\\n\\n此处提供一个代码示例，展示如何加载tokenizer和模型，并如何生成内容：\\n\\n\\nimport os\\nimport time\\nimport mindspore as ms\\nfrom mindformers.pipeline import pipeline\\n\\nos.environ[\\\"RUN_MODE\\\"] = \\\"predict\\\"\\nos.environ[\\\"MS_INTERNAL_DISABLE_CUSTOM_KERNEL_LIST\\\"] = \\\"PagedAttention\\\"\\nms.set_context(device_id=0, mode=0, device_target='Ascend', jit_config={'jit_level': 'O0', 'infer_boost': 'on'})\\n\\npipeline_task = pipeline(task=\\\"text_generation\\\",\\n                         model=\\\"CMB_AILab/YiZhao-12B-Chat\\\",  # model_path\\n                         framework='ms',\\n                         model_kwargs={\\\"use_past\\\": True},\\n                         trust_remote_code=True\\n                         )\\nwhile True:\\n    input_ = input(\\\"模型输入: \\\")\\n    template = f\\\"<|user|>{input_}<|assistant|>\\\"\\n\\n    pipeline_result = pipeline_task(template, do_sample=False, seed=int(time.time()))\\n    print(pipeline_result[0][\\\"text_generation_text\\\"][0].replace(f\\\"{input_}\\\", \\\"\\\", 1))\\n\\n声明与协议\\n声明\\n\\n我们在此声明，不要使用一招（YiZhao）模型及其衍生模型进行任何危害国家社会安全或违法的活动。同时，我们也要求使用者不要将一招（YiZhao）用于未经必要安全审查和备案的互联网服务。我们希望所有使用者遵守上述原则，确保科技发展在合法合规的环境下进行。\\n\\n我们已经尽我们所能，来确保模型训练过程中使用的数据及模型的合规性。然而，尽管我们已经做出了巨大的努力，但由于模型和数据的复杂性，仍有可能存在一些无法预见的问题。使用者应结合使用场景、使用目的、涉及数据敏感性、预期运行环境，进行必要的测试，了解了大模型局限性，评估潜在风险及使用大模型的合法性及适当性，采取必要的缓释措施，并履行必要的安全及合规义务。因使用一招（YiZhao）开源模型而导致的任何问题，包括但不限于数据安全问题、公共舆论风险，或模型被误导、滥用、传播或不当利用所带来的任何风险和问题，我们将不承担任何责任。\\n\\n协议\\n\\n社区使用一招（YiZhao）模型需要遵循《“一招（YiZhao）”许可协议》。\\n\\n如果使用方为非自然人实体，您需要通过以下联系邮箱ailab@cmbchina.com，提交《“一招（YiZhao）”许可协议》要求的申请材料。审核通过后，将特此授予您一个非排他性、全球性、不可转让、不可再许可、可撤销和免版税的有限许可，但仅限于被许可方内部的使用、复制、分发以及修改，并且应当遵守《“一招（YiZhao）”许可协议》。\\n\\n作者：\\n招商银行人工智能实验室\\n  \\n模型 2\\n数据集 0\\n创空间 0\\n收录本模型的合集（ 1 ）\\nAIOps\\n2025.03.18\\n3\\n0\\n\\n分享\\n\\n© 2022-2025 ModelScope.cn 版权所有\""
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:04:01 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n从第一个链接提取到以下关键信息：\n\n*   **模型名称:** 一招-12B-Chat (YiZhao-12B-Chat)\n*   **提供方:** 招商银行人工智能实验室 (CMB\\_AILab)\n*   **模型介绍:**\n    *   YiZhao-12B-Chat是专为金融领域设计的120亿参数大型语言模型，支持32K上下文长度。\n    *   基于GLM架构的中英双语对话模型，对问答和对话场景进行了优化。\n    *   完全基于国产算力和国产深度学习框架MindSpore进行训练。\n    *   具备自然语言理解、文本生成、舆情事件抽取、工具使用、对话互动等多种功能。\n*   **下载链接:** 提供了多个下载链接，包括魔搭社区和码云。\n*   **效果评测:** 在通用领域和金融领域评测中均表现出色。\n*   **使用协议:** 需要遵循《“一招（YiZhao）”许可协议》。\n\n现在继续访问第二个链接。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_navigate</tool_name>\n<arguments>\n{\n  \"url\": \"https://cj.sina.com.cn/articles/view/5816954579/15ab7aed301901e374\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Navigated to https://cj.sina.com.cn/articles/view/5816954579/15ab7aed301901e374"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:04:14 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n已导航到第二个链接，提取页面内容。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_evaluate</tool_name>\n<arguments>\n{\n  \"script\": \"document.body.innerText\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Executed JavaScript:\n\ndocument.body.innerText\n\nResult:\n\n\"注册\\n登录\\n新浪财经APP\\n宏观经济\\nA股\\n港股\\n美股\\n基金\\n理财\\n黄金\\n期货\\n能源\\n互联网金融\\n房地产\\n更多\\n招行有“一招（YiZhao）”\\n2024年12月12日 08:01 支付之家网\\n语音播报\\n缩小字体\\n放大字体\\n微博\\n微信\\n分享\\n0\\n\\n在快速发展的数字化浪潮中，银行业正面临着一次前所未有的变革。\\n\\n近日，招商银行申请注册了“一招(YiZhao)大模型”和“招商银行一招(YiZhao)大模型”商标，这一举动不仅让人对招行的科技布局充满了期待，也透露出银行在人工智能（AI）领域的深远布局。这一商标涉及多个国际分类领域，包括广告销售、网站服务、科学仪器等，预示着招行可能会推出更多基于AI大模型技术的创新产品或服务。\\n\\n招行作为金融行业的科技创新先锋，一直以来都在数字化转型方面走在行业的前列。从推出“一卡通”到开发智能客服“招小宝”，再到利用区块链技术打造金融服务平台，招行始终致力于提升客户体验、优化服务效率。\\n\\n如今，招行提出的“一招”大模型，不仅是一次技术创新，更是对银行业服务模式的一次大胆创新，它标志着银行行业将与人工智能深度融合，进入一个全新的智能化服务时代。\\n\\n大模型与金融科技的深度融合\\n\\n以ChatGPT为代表的大模型技术，展示了强大的自然语言处理与生成能力，其应用已拓展至教育、医疗、法律等多个领域。然而，银行业作为一个数据密集且高度专业化的行业，对大模型提出了更高的要求：不仅需要对行业术语、法律法规以及复杂的客户需求进行精确理解，还需要在服务个性化、运营自动化和风险控制等方面提供专业的解决方案。\\n\\n1. 从通用模型到行业模型\\n\\n虽然像ChatGPT这样的通用模型可以处理广泛的问题，但其在金融场景中的表现需要进一步优化。例如，银行客服需要处理精准的账户查询，投资顾问需要结合客户的财务数据和市场走势提供个性化建议。这些需求要求大模型具备更强的专业化和场景化能力。\\n\\n2. 金融行业的智慧化转型\\n\\n银行业的数字化转型已迈入深水区，未来的竞争核心在于智慧化服务。大模型不仅可以作为客户的智能助手，为其提供洞察性的理财建议；也可以作为员工的数字化伙伴，帮助其提升工作效率、优化决策过程。\\n\\n招商银行信息技术部副总经理俞吴杰透露，针对AI与大语言模型，目前招行的重点在于智算平台的建设。“原来的服务器集群叫通算平台，和大模型相关的叫智算平台。智算平台既包含招行的训练平台，也包括推理平台。”他提到，招行探索大模型的目标不是建立通用模型，而是在金融行业建设垂直领域的大模型。\\n\\n招行的创新不仅局限于大模型的应用，还深入探索了低代码平台与大模型的结合。低代码开发可以大幅降低开发门槛，让业务用户也能参与到系统开发中来。而大模型的引入，使得低代码开发过程变得更加高效和智能。\\n\\n招商银行自2019年启动了企业级低代码开发平台的建设，五年来，低代码平台已成为业务系统开发的重要基础，支持零代码和低代码两种开发模式。尤其在2023年，招行进一步探索了低代码与大模型的融合，提升了开发者的体验，推动了银行业务的科技平民化。\\n\\n大模型驱动的银行业智慧化转型\\n\\n银行业的竞争日益激烈，未来的核心竞争力将在于智慧化服务。大模型技术不仅仅是在后台支持银行的智能化运作，更是在客户交互、金融服务等方面发挥着重要作用。\\n\\n在银行业中，大模型技术的落地应用正在重塑行业生态，其核心场景包括：\\n\\n1. 智能客服：更主动的客户体验\\n\\n大模型支持从被动响应向主动交互转变。传统客服主要解答客户的固定问题，而大模型赋能下的智能客服可以实时分析客户意图，提供个性化建议。例如，在客户咨询投资时，客服不仅能快速匹配合适的理财产品，还能生成详细的市场分析和风险评估。\\n\\n2. 风险控制：实时监测与动态优化\\n\\n金融风险管理是银行的核心业务之一。大模型通过对海量交易数据的实时分析，能够迅速识别异常行为，提高欺诈检测的精度。同时，它还可以结合外部政策、经济数据，动态调整风控模型，为银行提供更可靠的风险管理支持。\\n\\n3. 个性化投顾：精准洞察客户需求\\n\\n传统的理财服务往往以人工顾问为主，但其覆盖面和效率有限。大模型可以分析客户的财务状况、风险偏好以及历史行为数据，生成个性化的投资建议，从而覆盖更多长尾客户，提升服务普惠性。\\n\\n4. 内部流程优化：高效协同与智能辅助\\n\\n银行内部流程复杂，例如贷款审批、合同审阅等，通常需要耗费大量时间。大模型可以实现这些流程的自动化处理，不仅节约人力成本，还能大幅提高效率。例如，它可以在合同审阅中快速标记风险条款，并给出修改建议。\\n\\n5. 合规性与透明度：监管与服务的双赢\\n\\n金融行业的高度合规性要求对技术提出了更高标准。大模型可以实时监控业务流程，确保操作符合监管要求。同时，它还能生成易于理解的报告，帮助客户更清楚地了解自身的金融行为和合规情况。\\n\\n招行“一招”的潜力与战略意义\\n\\n此次“一招”大模型商标的申请，展示了招行在数字化与智能化转型上的战略决心。结合其多年积累的技术优势和场景深耕，“一招”有望成为银行业大模型应用的标杆。\\n\\n1. 数据、技术与场景的深度融合\\n\\n招行拥有丰富的客户数据和复杂的业务场景，这为训练和优化大模型提供了强大的基础。通过将技术与实际业务深度结合，招行能够开发出更贴近客户需求、更具竞争力的智能服务。\\n\\n2. 从银行服务到金融生态的扩展\\n\\n“一招”大模型的潜力不仅限于银行内部业务，还可能扩展到更广阔的金融生态。例如，通过开放接口，与中小企业和金融科技公司合作，提供智能风控、自动化运营等服务，助力整个行业的数字化升级。\\n\\n3. 智能化驱动的服务升级\\n\\n从“一卡通”到“掌上生活”APP，招行一直致力于提升客户体验。“一招”大模型的推出，将进一步推动银行服务从标准化向个性化、从单向服务向双向交互转型，为客户带来更加高效、贴心的金融服务。\\n\\n挑战与机遇：技术落地的关键问题\\n\\n招行在低代码与大模型领域的创新实践，标志着其数字化转型进程中的重要一步。然而，尽管大模型在银行业的应用前景广阔，但其实际落地仍面临一些挑战：\\n\\n数据安全与隐私保护\\n\\n银行掌握着大量敏感数据，大模型的开发和使用需要确保信息的安全性与合规性，避免客户隐私泄露。\\n\\n模型的可解释性与透明性\\n\\n在金融场景中，决策结果必须具备高可解释性，既要让客户信服，也要满足监管要求。这对大模型的技术设计提出了更高的要求。\\n\\n技术迭代与生态协同\\n\\n大模型技术发展迅速，银行需要保持技术敏锐度，同时建立与外部技术生态的良好协同，以实现持续的创新与突破。\\n\\n尽管面临挑战，招行凭借其在技术上的深厚积累，已经在人工智能、大模型和低代码开发方面积累了宝贵经验，未来将在智能化服务、金融生态的建设上继续推动行业的革新。\\n\\n“一招”大模型的商标申请，不仅标志着招行在人工智能领域迈出了重要一步，也揭示了未来银行业智慧化服务的趋势：以技术为驱动，从底层重塑客户体验和运营模式。\\n\\n在这个技术与金融深度融合的时代，招行以“一招”出击，向行业展示了金融科技创新的无限可能。未来，我们期待看到招行将这一“妙招”变为实招，助力客户与行业在智能时代中共创辉煌。\\n\\n注：本文为支付之家网投稿，作者系业内从业人员，文中观点仅代表作者个人观点\\n\\n0条评论|0人参与\\n网友评论\\n登录|注册\\n发布\\n相关新闻\\n加载中 \\n头条号入驻\\n支付之家网\\n支付之家网(ZFZJ.CN)官方头条号！\\n互联网支付机构股权轮番被冻结！\\n大商所支付业务通知丨《关于规范单用途商业预付卡消费服务的倡议书》\\n支付机构总经理被警告！\\n财经自媒体联盟\\n今日推荐\\n优秀作者\\n看点月榜\\n黄仁勋凌晨于GTC大会公布英伟达多项重磅进展\\n\\n九州商业评论\\n\\n刚刚，香港，巨商陨落！\\n\\n华商韬略\\n\\n又一零食巨头跨界卖咖啡，八块九的三只松鼠咖啡你会买吗？\\n\\n江瀚视野\\n\\n国家喊你减肥！万亿市场大爆发！\\n\\n格隆汇APP\\n\\n巨丰投顾：突破3400点后A股短线或加速上行\\n\\n巨丰投顾\\n\\n新浪财经头条意见反馈留言板\\n\\n4000520066 欢迎批评指正\\n\\n关于头条 | 如何入驻 | 发稿平台 | 奖励机制 版权声明 | 用户协议 | 帮助中心\\nCopyright © 1996-2019 SINA Corporation\\nAll Rights Reserved 新浪公司 版权所有\\n新浪首页\\n语音播报\\n相关新闻\\n返回顶部\""
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:04:19 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n从第二个链接（新浪财经文章）提取到以下关键信息：\n\n*   **商标注册:** 招商银行申请注册了“一招(YiZhao)大模型”和“招商银行一招(YiZhao)大模型”商标。\n*   **商标分类:** 涉及广告销售、网站服务、科学仪器等。\n*   **招行数字化转型:** 招行一直在数字化转型方面领先，从“一卡通”到智能客服“招小宝”，再到区块链技术应用。\n*   **大模型与金融科技融合:**\n    *   通用模型在金融场景中需要优化。\n    *   银行业智慧化转型是未来竞争核心。\n    *   招行重点在于智算平台建设，目标是在金融行业建设垂直领域大模型。\n    *   招行探索低代码平台与大模型结合。\n*   **大模型在银行业的应用场景:**\n    *   智能客服：更主动的客户体验。\n    *   风险控制：实时监测与动态优化。\n    *   个性化投顾：精准洞察客户需求。\n    *   内部流程优化：高效协同与智能辅助。\n    *   合规性与透明度：监管与服务的双赢。\n*   **“一招”的潜力与战略意义:**\n    *   数据、技术与场景的深度融合。\n    *   从银行服务到金融生态的扩展。\n    *   智能化驱动的服务升级。\n*   **挑战与机遇:**\n    *   数据安全与隐私保护。\n    *   模型的可解释性与透明性。\n    *   技术迭代与生态协同。\n\n继续访问第三个链接。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_navigate</tool_name>\n<arguments>\n{\n  \"url\": \"https://www.iyiou.com/data/202412111085188\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Navigated to https://www.iyiou.com/data/202412111085188"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:04:31 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n已导航到第三个链接，提取页面内容。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_evaluate</tool_name>\n<arguments>\n{\n  \"script\": \"document.body.innerText\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Executed JavaScript:\n\ndocument.body.innerText\n\nResult:\n\n\"\""
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:04:36 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n第三个链接返回空内容，可能是网站结构问题或者反爬虫机制。跳过此链接，访问第四个链接。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_navigate</tool_name>\n<arguments>\n{\n  \"url\": \"https://baijiahao.baidu.com/s?id=1818122776352809538\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
          "text": "Navigated to https://baijiahao.baidu.com/s?id=1818122776352809538"
        },
        {
          "type": "text",
          "text": "<environment_details>\n# VSCode Visible Files\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# VSCode Open Tabs\n../../../../../Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json\n\n# Current Time\n2025/3/19 下午4:04:44 (Asia/Shanghai, UTC+8:00)\n\n# Current Mode\nACT MODE\n</environment_details>"
        }
      ]
    },
    {
      "role": "assistant",
      "content": "<thinking>\n已导航到第四个链接，提取页面内容。\n</thinking>\n<use_mcp_tool>\n<server_name>github.com/executeautomation/mcp-playwright</server_name>\n<tool_name>playwright_evaluate</tool_name>\n<arguments>\n{\n  \"script\": \"document.body.innerText\"\n}\n</arguments>\n</use_mcp_tool>"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "[use_mcp_tool for 'github.com/executeautomation/mcp-playwright'] Result:"
        },
        {
          "type": "text",
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      "content": "<thinking>\n从第四个链接（百度百家号）提取到以下关键信息：\n\n*   **商标申请:** 招商银行申请了“一招（YiZhao）大模型”和“招商银行一招（YiZhao）大模型”商标。\n*   **业务范畴:** 广告销售、网站服务、科学仪器等。\n*   **商标状态:** 等待实质审查。\n*   **招行技术投入:** 表明招商银行在技术创新领域的持续投入，可能推出相关产品或服务。\n*   **行业背景:** 银行业数字化转型加速，重视人工智能、大数据等技术应用。\n\n现在已经从三个网页中提取了信息，第三个网页内容为空。开始整理信息并写入文件。\n</thinking>\n<write_to_file>\n<path>yizhao.md</path>\n<content>\n# 一招大模型介绍\n\n## 概述\n\n“一招大模型”是招商银行开发的金融领域大语言模型。招商银行申请了“一招（YiZhao）大模型”和“招商银行一招（YiZhao）大模型”商标，涵盖广告销售、网站服务、科学仪器等多个领域。这表明招商银行在技术创新领域的持续投入，并可能推出基于此大模型的相关产品或服务。\n\n## 模型细节\n\n根据ModelScope上的信息，一招大模型的具体型号为**YiZhao-12B-Chat**，由招商银行人工智能实验室（CMB\\_AILab）提供。\n\n*   **模型架构:** 基于GLM架构的中英双语对话模型，拥有120亿参数，针对问答和对话场景进行了优化。\n*   **训练:** 完全基于国产算力和国产深度学习框架MindSpore进行训练。\n*   **功能:** 具备自然语言理解、文本生成、舆情事件抽取、工具使用、对话互动等多种功能。\n*   **特点:** 专为金融领域设计，支持32K上下文长度。\n*   **数据:** 对海量通用语料与金融语料进行了多维度数据清洗与筛选。\n*   **评测:** 在通用领域和金融领域评测中均表现出色。\n\n## 应用场景\n\n根据新浪财经的文章，大模型在银行业有以下应用场景：\n\n*   **智能客服:** 从被动响应转向主动交互，提供个性化建议。\n*   **风险控制:** 实时监测异常行为，提高欺诈检测精度，动态调整风控模型。\n*   **个性化投顾:** 分析客户财务状况、风险偏好等，生成个性化投资建议。\n*   **内部流程优化:** 自动化处理贷款审批、合同审阅等流程。\n*   **合规性与透明度:** 实时监控业务流程，确保符合监管要求，生成易于理解的报告。\n\n## 战略意义\n\n招行“一招”大模型具有以下战略意义：\n\n*   **数据、技术与场景的深度融合:** 利用招行丰富的客户数据和复杂业务场景，开发贴近客户需求的智能服务。\n*   **从银行服务到金融生态的扩展:** 可能扩展到更广阔的金融生态，与中小企业和金融科技公司合作。\n*   **智能化驱动的服务升级:** 推动银行服务从标准化向个性化、从单向服务向双向交互转型。\n\n## 挑战\n\n大模型在银行业的应用仍面临挑战：\n\n*   **数据安全与隐私保护:** 需要确保信息安全与合规，避免客户隐私泄露。\n*   **模型的可解释性与透明性:** 金融场景中，决策结果必须具备高可解释性。\n*   **技术迭代与生态协同:** 需要保持技术敏锐度，建立与外部技术生态的良好协同。\n\n## 引用链接\n\n1.  [ModelScope - YiZhao-12B-Chat](https://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat)\n2.  [新浪财经 - 招行有“一招（YiZhao）”](https://cj.sina.com.cn/articles/view/5816954579/15ab7aed301901e374)\n3.  [百度百家号 - 招商银行布局AI，申请“一招大模型”商标待审](https://baijiahao.baidu.com/s?id=1818122776352809538)\n</content>\n</write_to_file>"
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          "text": "The content was successfully saved to yizhao.md.\n\nHere is the full, updated content of the file that was saved:\n\n<final_file_content path=\"yizhao.md\">\n# 一招大模型介绍\n\n## 概述\n\n“一招大模型”是招商银行开发的金融领域大语言模型。招商银行申请了“一招（YiZhao）大模型”和“招商银行一招（YiZhao）大模型”商标，涵盖广告销售、网站服务、科学仪器等多个领域。这表明招商银行在技术创新领域的持续投入，并可能推出基于此大模型的相关产品或服务。\n\n## 模型细节\n\n根据ModelScope上的信息，一招大模型的具体型号为**YiZhao-12B-Chat**，由招商银行人工智能实验室（CMB\\_AILab）提供。\n\n*   **模型架构:** 基于GLM架构的中英双语对话模型，拥有120亿参数，针对问答和对话场景进行了优化。\n*   **训练:** 完全基于国产算力和国产深度学习框架MindSpore进行训练。\n*   **功能:** 具备自然语言理解、文本生成、舆情事件抽取、工具使用、对话互动等多种功能。\n*   **特点:** 专为金融领域设计，支持32K上下文长度。\n*   **数据:** 对海量通用语料与金融语料进行了多维度数据清洗与筛选。\n*   **评测:** 在通用领域和金融领域评测中均表现出色。\n\n## 应用场景\n\n根据新浪财经的文章，大模型在银行业有以下应用场景：\n\n*   **智能客服:** 从被动响应转向主动交互，提供个性化建议。\n*   **风险控制:** 实时监测异常行为，提高欺诈检测精度，动态调整风控模型。\n*   **个性化投顾:** 分析客户财务状况、风险偏好等，生成个性化投资建议。\n*   **内部流程优化:** 自动化处理贷款审批、合同审阅等流程。\n*   **合规性与透明度:** 实时监控业务流程，确保符合监管要求，生成易于理解的报告。\n\n## 战略意义\n\n招行“一招”大模型具有以下战略意义：\n\n*   **数据、技术与场景的深度融合:** 利用招行丰富的客户数据和复杂业务场景，开发贴近客户需求的智能服务。\n*   **从银行服务到金融生态的扩展:** 可能扩展到更广阔的金融生态，与中小企业和金融科技公司合作。\n*   **智能化驱动的服务升级:** 推动银行服务从标准化向个性化、从单向服务向双向交互转型。\n\n## 挑战\n\n大模型在银行业的应用仍面临挑战：\n\n*   **数据安全与隐私保护:** 需要确保信息安全与合规，避免客户隐私泄露。\n*   **模型的可解释性与透明性:** 金融场景中，决策结果必须具备高可解释性。\n*   **技术迭代与生态协同:** 需要保持技术敏锐度，建立与外部技术生态的良好协同。\n\n## 引用链接\n\n1.  [ModelScope - YiZhao-12B-Chat](https://www.modelscope.cn/models/CMB_AILab/YiZhao-12B-Chat)\n2.  [新浪财经 - 招行有“一招（YiZhao）”](https://cj.sina.com.cn/articles/view/5816954579/15ab7aed301901e374)\n3.  [百度百家号 - 招商银行布局AI，申请“一招大模型”商标待审](https://baijiahao.baidu.com/s?id=1818122776352809538)\n\n</final_file_content>\n\nIMPORTANT: For any future changes to this file, use the final_file_content shown above as your reference. This content reflects the current state of the file, including any auto-formatting (e.g., if you used single quotes but the formatter converted them to double quotes). Always base your SEARCH/REPLACE operations on this final version to ensure accuracy.\n\n"
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