{
  "sessionId": "13dc0fdd-3bc8-4921-8b85-2c45b6122023",
  "title": "test",
  "workspaceDirectory": "file:///home/lean-user/workspace/project",
  "history": [
    {
      "message": {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "test"
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        "id": "eac63bcb-e7da-4631-8596-51bdf7a8c70f",
        "uuid": "eac63bcb-e7da-4631-8596-51bdf7a8c70f"
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      "editorState": {
        "type": "doc",
        "content": [
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            "content": [
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                "type": "text",
                "text": "test"
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      },
      "appliedRules": []
    },
    {
      "message": {
        "id": "163a1277-bd52-4dde-972e-ff01f1b1585c",
        "role": "assistant",
        "content": ""
      },
      "contextItems": []
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    {
      "message": {
        "role": "thinking",
        "content": "The user just sent \"test\". This is a very brief message without much context. I should respond in a friendly but professional manner, acknowledging their message and asking how I can help them with their QuantConnect work.\n\nSince this is just a test message and not a specific request, I shouldn't use any tools. I'll just provide a brief response explaining what I can help with.",
        "id": "8bcde2e2-96c4-4b80-939b-b06fdbebd9b9",
        "signature": "EsMECmQIDBgCKkAYswFveQKchENdCnGe9vvWxhpQ5xGZwBXT1VXXkPifaSPUtmFUDDxXzv0SuD2WrIjFqNfVKxOj7sJv7XEJjWKzMhpjbGF1ZGUtc29ubmV0LTQtNS0yMDI1MDkyOTgAEgzImc3700PKKDbXb64aDMe6nJbni8l1qMEmkCIwJOgkrFXKrTPNdCqyNpgL4Q4Qo/RlP7BIi07uh1pvAMBup17ClXv36/hUkMZEApIcKowDMmlXRIMZ8ricwfF9a1Ov9cbJrsU5Kg3bNEjnCnxxwnYlsEvvK/mn4bIN7WZKeImw8Zfo9Nv4OijklveDW2ludsHDG17aixUAetVgzPj3Tz/pH91YvUBtnEJXkdUUGi9+/b7i4Ph2XMEbUL0hJV4ZcpYGylpUBuXZF5k2h+xgTfCC2n1aXrg16R/gv+qqMe2k/BfNoFxJTy93kgHsqTTo96AxMtl1RrrGwpIlJQkJAyhMMFUjocIoFKlLRKGMyUdSzqG+DGZHoEdBuMw/p+imZ1DMfLa1jkakkZqoGCjF2FIbROtMeYk/NyTF7+5JVrLOElSDEPlbOk+HlgnZVxid7800X0k2XbNQuCNUH/Zc3J0R9LY2xzJifLqmnnzvcW7XMITyWflfZPCecVIOTAp1z1BbaX3BN0K9FYDo37ot9u819KvXCxu2/JI5ed6ZWS5JBnnKd2Po1zzemR/PzvHGrA2rRP+NILIZgiaZo2UN/ArGcdxRcVXf679pxFmMZC42XuZ3ndlb1t/HZEMZGAE="
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      "message": {
        "role": "assistant",
        "content": "Hi! I'm Mia, your QuantConnect assistant. I can help you with:\n\n- Designing and coding trading algorithms\n- Running backtests and analyzing results\n- Deploying algorithms to live trading\n- Debugging and fixing code issues\n- Working with Jupyter notebooks in Research\n- Optimizing algorithm parameters\n\nWhat would you like to work on today?",
        "id": "73bc55b2-8f6c-4979-bebe-9807464a1010"
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      "contextItems": [],
      "promptLogs": [
        {
          "modelTitle": "Ask Mia",
          "modelProvider": "quantconnect",
          "prompt": "<system>\n<important_rules>\n  You are in agent mode.\n\n  If you need to use multiple tools, you can call multiple read only tools simultaneously.\n\n  Always include the language and file name in the info string when you write code blocks.\n  If you are editing \"src/main.py\" for example, your code block should start with '```python src/main.py'\n\n\nFor larger codeblocks (>20 lines), use brief language-appropriate placeholders for unmodified sections, e.g. '// ... existing code ...'\n\nHowever, only output codeblocks for suggestion and demonstration purposes, for example, when enumerating multiple hypothetical options. For implementing changes, use the edit tools.\n\n</important_rules>\n\n<tool_use_instructions>\nYou have access to several \"tools\" that you can use at any time to retrieve information and/or perform tasks for the User.\nTo use a tool, respond with a tool code block (```tool) using the syntax shown in the examples below:\n\nThe following tools are available to you:\n\nTo read a file with a known filepath, use the read_file tool. For example, to read a file located at 'path/to/file.txt', you would respond with this:\n```tool\nTOOL_NAME: read_file\nBEGIN_ARG: filepath\npath/to/the_file.txt\nEND_ARG\n```\n\nTo create a NEW file, use the create_new_file tool with the relative filepath and new contents. For example, to create a file located at 'path/to/file.txt', you would respond with:\n```tool\nTOOL_NAME: create_new_file\nBEGIN_ARG: filepath\npath/to/the_file.txt\nEND_ARG\nBEGIN_ARG: contents\nContents of the file\nEND_ARG\n```\n\nTo return a list of files based on a glob search pattern, use the file_glob_search tool\n```tool\nTOOL_NAME: file_glob_search\nBEGIN_ARG: pattern\n*.py\nEND_ARG\n```\n\nTo view the current git diff, use the view_diff tool. This will show you the changes made in the working directory compared to the last commit.\n```tool\nTOOL_NAME: view_diff\n```\n\nTo view the user's currently open file, use the read_currently_open_file tool.\nIf the user is asking about a file and you don't see any code, use this to check the current file\n```tool\nTOOL_NAME: read_currently_open_file\n```\n\nTo list files and folders in a given directory, call the ls tool with \"dirPath\" and \"recursive\". For example:\n```tool\nTOOL_NAME: ls\nBEGIN_ARG: dirPath\npath/to/dir\nEND_ARG\nBEGIN_ARG: recursive\nfalse\nEND_ARG\n```\n\nSometimes the user will provide feedback or guidance on your output. If you were not aware of these \"rules\", consider using the create_rule_block tool to persist the rule for future interactions.\nThis tool cannot be used to edit existing rules, but you can search in the \".continue/rules\" folder and use the edit tool to manage rules.\nTo create a rule, respond with a create_rule_block tool call and the following arguments:\n- name: Short, descriptive name summarizing the rule's purpose (e.g. 'React Standards', 'Type Hints')\n- rule: Clear, imperative instruction for future code generation (e.g. 'Use named exports', 'Add Python type hints'). Each rule should focus on one specific standard.\n- description: Description of when this rule should be applied. Required for Agent Requested rules (AI decides when to apply). Optional for other types.\n- globs: Optional file patterns to which this rule applies (e.g. ['**/*.{ts,tsx}'] or ['src/**/*.ts', 'tests/**/*.ts'])\n- alwaysApply: Whether this rule should always be applied. Set to false for Agent Requested and Manual rules. Omit or set to true for Always and Auto Attached rules.\nFor example:\n```tool\nTOOL_NAME: create_rule_block\nBEGIN_ARG: name\nUse PropTypes\nEND_ARG\nBEGIN_ARG: rule\nAlways use PropTypes when declaring React component properties\nEND_ARG\nBEGIN_ARG: description\nEnsure that all prop types are explicitly declared for better type safety and code maintainability in React components.\nEND_ARG\nBEGIN_ARG: globs\n**/*.js\nEND_ARG\nBEGIN_ARG: alwaysApply\nfalse\nEND_ARG\n```\n\nTo fetch the content of a URL, use the fetch_url_content tool. For example, to read the contents of a webpage, you might respond with:\n```tool\nTOOL_NAME: fetch_url_content\nBEGIN_ARG: url\nhttps://example.com\nEND_ARG\n```\n\nTo make multiple edits to a single file, use the multi_edit tool with a filepath (relative to the root of the workspace) and an array of edit operations.\n\n  For example, you could respond with:\n```tool\nTOOL_NAME: multi_edit\nBEGIN_ARG: filepath\npath/to/file.ts\nEND_ARG\nBEGIN_ARG: edits\n[\n  { \"old_string\": \"const oldVar = 'value'\", \"new_string\": \"const newVar = 'updated'\" },\n  { \"old_string\": \"oldFunction()\", \"new_string\": \"newFunction()\", \"replace_all\": true }\n]\nEND_ARG\n```\n\nAlso, these additional tool definitions show other tools you can call with the same syntax:\n\n```tool_definition\nTOOL_NAME: read_file\nTOOL_DESCRIPTION:\nUse this tool if you need to view the contents of an existing file.\nTOOL_ARG: filepath (string, required)\nThe path of the file to read, relative to the root of the workspace (NOT uri or absolute path)\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: create_new_file\nTOOL_DESCRIPTION:\nCreate a new file. Only use this when a file doesn't exist and should be created\nTOOL_ARG: filepath (string, required)\nThe path where the new file should be created, relative to the root of the workspace\nEND_ARG\nTOOL_ARG: contents (string, required)\nThe contents to write to the new file\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: file_glob_search\nTOOL_DESCRIPTION:\nSearch for files recursively in the project using glob patterns. Supports ** for recursive directory search. Will not show many build, cache, secrets dirs/files (can use ls tool instead). Output may be truncated; use targeted patterns\nTOOL_ARG: pattern (string, required)\nGlob pattern for file path matching\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: view_diff\nTOOL_DESCRIPTION:\nView the current diff of working changes\n```\n\n```tool_definition\nTOOL_NAME: read_currently_open_file\nTOOL_DESCRIPTION:\nRead the currently open file in the IDE. If the user seems to be referring to a file that you can't see, or is requesting an action on content that seems missing, try using this tool.\n```\n\n```tool_definition\nTOOL_NAME: ls\nTOOL_DESCRIPTION:\nList files and folders in a given directory\nTOOL_ARG: dirPath (string, optional)\nThe directory path relative to the root of the project. Use forward slash paths like '/'. rather than e.g. '.'\nEND_ARG\nTOOL_ARG: recursive (boolean, optional)\nIf true, lists files and folders recursively. To prevent unexpected large results, use this sparingly\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: create_rule_block\nTOOL_DESCRIPTION:\nCreates a \"rule\" that can be referenced in future conversations. This should be used whenever you want to establish code standards / preferences that should be applied consistently, or when you want to avoid making a mistake again. To modify existing rules, use the edit tool instead.\n\nRule Types:\n- Always: Include only \"rule\" (always included in model context)\n- Auto Attached: Include \"rule\", \"globs\", and/or \"regex\" (included when files match patterns)\n- Agent Requested: Include \"rule\" and \"description\" (AI decides when to apply based on description)\n- Manual: Include only \"rule\" (only included when explicitly mentioned using @ruleName)\nTOOL_ARG: name (string, required)\nShort, descriptive name summarizing the rule's purpose (e.g. 'React Standards', 'Type Hints')\nEND_ARG\nTOOL_ARG: rule (string, required)\nClear, imperative instruction for future code generation (e.g. 'Use named exports', 'Add Python type hints'). Each rule should focus on one specific standard.\nEND_ARG\nTOOL_ARG: description (string, optional)\nDescription of when this rule should be applied. Required for Agent Requested rules (AI decides when to apply). Optional for other types.\nEND_ARG\nTOOL_ARG: globs (string, optional)\nOptional file patterns to which this rule applies (e.g. ['**/*.{ts,tsx}'] or ['src/**/*.ts', 'tests/**/*.ts'])\nEND_ARG\nTOOL_ARG: regex (string, optional)\nOptional regex patterns to match against file content. Rule applies only to files whose content matches the pattern (e.g. 'useEffect' for React hooks or '\\bclass\\b' for class definitions)\nEND_ARG\nTOOL_ARG: alwaysApply (boolean, optional)\nWhether this rule should always be applied. Set to false for Agent Requested and Manual rules. Omit or set to true for Always and Auto Attached rules.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: fetch_url_content\nTOOL_DESCRIPTION:\nCan be used to view the contents of a website using a URL. Do NOT use this for files.\nTOOL_ARG: url (string, required)\nThe URL to read\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_create_backtest\nTOOL_DESCRIPTION:\nCreate a new backtest to test an algorithm with historical data. This will automatically compile the project first. Returns a backtest Id.\nTOOL_ARG: backtestName (string, required)\nName of the backtest. Do not use forward or backward slashes in the name.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_read_backtest\nTOOL_DESCRIPTION:\nRetrieve the complete results of a backtest including performance statistics. Use this to analyze backtest outcomes and verify that algorithms executed correctly without runtime errors.\nTOOL_ARG: backtestId (string, required)\nId of the backtest to read. Obtain this from create_backtest or list_backtests.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_list_backtests\nTOOL_DESCRIPTION:\nList all backtests for a project. Returns a summary of each backtest including name, date, and basic statistics. Use this to find specific backtest IDs or review recent backtests.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_update_backtest\nTOOL_DESCRIPTION:\nUpdate the name or note of an existing backtest. Use this to add documentation or rename backtests for better organization. Provide at least one of name or note to update.\nTOOL_ARG: backtestId (string, required)\nId of the backtest to update. Obtain this from create_backtest or list_backtests.\nEND_ARG\nTOOL_ARG: name (string, optional)\nNew name for the backtest. Leave undefined to keep the current name.\nEND_ARG\nTOOL_ARG: note (string, optional)\nNew note for the backtest. Leave undefined to keep the current note.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_delete_backtest\nTOOL_DESCRIPTION:\nPermanently delete a backtest from a project. This action cannot be undone. Use this to clean up old or unnecessary backtests.\nTOOL_ARG: backtestId (string, required)\nId of the backtest to delete. Obtain this from create_backtest or list_backtests.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_create_compile\nTOOL_DESCRIPTION:\nCompile the project to check for syntax errors, compilation errors, and other issues. Always run this after making code changes. Returns compilation errors if any are found, allowing you to fix issues before testing. Returns compile ID\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_create_live_algorithm\nTOOL_DESCRIPTION:\nDeploy a live trading algorithm to trade with real money using a connected brokerage account or paper trading using QuantConnect brokerage. This will automatically compile the project first. Requires brokerage configuration and an available compute node. Use paper trading as default if brokerage is not specified, and use any available node if nodeId is not specified.\nTOOL_ARG: nodeId (string, required)\nId of the compute node to deploy to. Get available nodes using read_project_nodes tool and provide the exact nodeId string from that response.\nEND_ARG\nTOOL_ARG: brokerage (string, required)\nRequired. Brokerage configuration for live trading. Must include \"holdings\" (array; use [] if none) and \"cash\" (array; use [] if none). Each holding should include at least symbol (string) and quantity (number). Each cash entry should include currency (string) and amount (number). Configure other brokerage-specific fields as required by the selected brokerage.\nEND_ARG\nTOOL_ARG: dataProviders (object, optional)\nData provider configurations for market data. Provide provider-specific settings if required by your brokerage/data feed; otherwise an empty object is acceptable.\nEND_ARG\nTOOL_ARG: automaticRedeploy (boolean, optional)\nIf true, automatically redeploy the algorithm if it disconnects. Set to false to require manual redeployment after disconnections.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_read_live_algorithm\nTOOL_DESCRIPTION:\nRetrieve the current status and results of a live trading algorithm. Use this to monitor live trading performance, and verify the algorithm is running correctly.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_stop_live_algorithm\nTOOL_DESCRIPTION:\nStop a running live trading algorithm without liquidating positions. The algorithm will cease trading but existing positions remain open. Use this to pause trading while maintaining current positions.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_liquidate_live_algorithm\nTOOL_DESCRIPTION:\nLiquidate all positions and stop a live trading algorithm. This closes all open positions at market prices and then stops the algorithm. Use this to completely exit all trades and halt trading.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_create_optimization\nTOOL_DESCRIPTION:\nCreate a parameter optimization to find the best algorithm settings. This runs multiple backtests with different parameter combinations to maximize or minimize a target statistic. Use this to tune algorithm parameters for better performance. The optimization will automatically compile the project first.\nTOOL_ARG: name (string, required)\nDescriptive name for the optimization run (e.g., \"Moving Average Period Optimization\").\nEND_ARG\nTOOL_ARG: target (object, required)\nTarget statistic to optimize (e.g., maximize Sharpe Ratio or minimize drawdown).\nEND_ARG\nTOOL_ARG: parameters (array, required)\nArray of parameters to optimize, each with a name, min value, max value, and step size.\nEND_ARG\nTOOL_ARG: constraints (array, required)\nArray of constraints to filter results (array; use [] if none).\nEND_ARG\nTOOL_ARG: parallelNodes (number, optional)\nNumber of parallel nodes to use (1-12). More nodes complete faster but cost more. Default is 5.\nEND_ARG\nTOOL_ARG: nodeType (string, optional)\nType of compute node (O2-8, O4-12, O8-16). Higher numbers are more powerful. Default is O4-12.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_read_optimization\nTOOL_DESCRIPTION:\nRetrieve the results and status of an optimization. Use this to check optimization progress, view the best parameter combinations found, and analyze which settings produced the best results.\nTOOL_ARG: optimizationId (string, required)\nId of the optimization to read. Obtain this from create_optimization or list_optimizations.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_list_optimizations\nTOOL_DESCRIPTION:\nList all optimizations for a project. Returns a summary of each optimization including name, status, and creation date. Use this to find specific optimization IDs or review past optimization runs.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_abort_optimization\nTOOL_DESCRIPTION:\nStop a running optimization before it completes. Use this to cancel long-running optimizations that are no longer needed.\nTOOL_ARG: optimizationId (string, required)\nId of the optimization to abort. Obtain this from create_optimization or list_optimizations.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_delete_optimization\nTOOL_DESCRIPTION:\nPermanently delete an optimization and its results from a project. This action cannot be undone. Use this to clean up old or unnecessary optimization runs.\nTOOL_ARG: optimizationId (string, required)\nId of the optimization to delete. Obtain this from create_optimization or list_optimizations.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_read_project_nodes\nTOOL_DESCRIPTION:\nList all available compute nodes for backtest, live, and research deployments. Use this before deploying a live algorithm, running backtests, or executing research to see which nodes are available along with their specifications, node IDs, types, and availability status.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_update_project\nTOOL_DESCRIPTION:\nUpdate a project's name or description for better organization and documentation. Provide at least one of name or description to update.\nTOOL_ARG: name (string, optional)\nNew name for the project. Leave undefined to keep the current name.\nEND_ARG\nTOOL_ARG: description (string, optional)\nNew description for the project. Leave undefined to keep the current description.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_read_open_project\nTOOL_DESCRIPTION:\nRetrieve information about the currently open project in the IDE. Use this to get the project ID and details when the user is working on a project without specifying which one. This is the default project for all operations when projectId is omitted.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_create_cell\nTOOL_DESCRIPTION:\nInsert a new Jupyter notebook cell. By default the cell is appended; provide an index to insert at a specific zero-based position. Unless specified otherwise, assume that when executed, the cell will be run in the QuantConnect cloud Research environment.\nTOOL_ARG: source (array, required)\nCell source lines as a string array. Include trailing newlines when needed. Example: [\"import numpy as np\\n\", \"print(np.array([1,2,3]))\\n\"]\nEND_ARG\nTOOL_ARG: index (number, optional)\nOptional zero-based insert index. If omitted, the cell is added to the end.\nEND_ARG\nTOOL_ARG: cellType (string, optional)\nCell type. Use \"code\" for executable content or \"markdown\" for narrative text. Defaults to \"code\".\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_read_cell\nTOOL_DESCRIPTION:\nReturn the source lines for a single notebook cell at a zero-based index.\nTOOL_ARG: index (number, required)\nZero-based index of the cell to read.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_update_cell\nTOOL_DESCRIPTION:\nReplace the source of an existing notebook cell at a zero-based index. Unless specified otherwise, assume that when executed, the cell will be run in the QuantConnect cloud Research environment.\nTOOL_ARG: source (array, required)\nNew cell source lines as a string array. Example: [\"x = 1\\n\", \"print(x)\\n\"]\nEND_ARG\nTOOL_ARG: index (number, required)\nZero-based index of the cell to update.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_delete_cell\nTOOL_DESCRIPTION:\nDelete a notebook cell at a zero-based index.\nTOOL_ARG: index (number, required)\nZero-based index of the cell to delete.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_execute_cell\nTOOL_DESCRIPTION:\nExecute one code cell by zero-based index and return its captured outputs. The cell will be executed in the QuantConnect cloud Research environment.\nTOOL_ARG: index (number, required)\nZero-based index of the cell to execute. Non-code cells return no execution output.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_create_notebook\nTOOL_DESCRIPTION:\nReplace the current notebook with raw notebook JSON content. Unless specified otherwise, assume that when executed, the notebook will be executed in the QuantConnect cloud Research environment.\nTOOL_ARG: content (string, required)\nRaw notebook JSON string (for example full .ipynb content) to load and persist.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_read_notebook\nTOOL_DESCRIPTION:\nReturn the full current notebook as a raw JSON string.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_jupyter_execute_notebook\nTOOL_DESCRIPTION:\nExecute all notebook cells in order and return aggregated outputs from code cells. Unless specified otherwise, assume the notebook will be executed in the QuantConnect cloud Research environment.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_financial_data_blog_posts\nTOOL_DESCRIPTION:\nFetch recent financial blog posts.\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_financial_data_web_get\nTOOL_DESCRIPTION:\nFetches the full content of a web page given its URL. Use this to read blog posts and articles.\nTOOL_ARG: url (string, required)\nThe URL of the web page to fetch\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_environment_library_support\nTOOL_DESCRIPTION:\nFetch the list of available preinstalled libraries in the QuantConnect environment.\nTOOL_ARG: libraryNameFilter (string, optional)\nOptional regex filter to search for a library by name.\nEND_ARG\n```\n\n```tool_definition\nTOOL_NAME: quantconnect_mcp_server_datasets\nTOOL_DESCRIPTION:\nFetch the list of available QuantConnect datasets.\n```\n\n```tool_definition\nTOOL_NAME: multi_edit\nTOOL_DESCRIPTION:\nUse this tool to make multiple edits to a single file in one operation. It allows you to perform multiple find-and-replace operations efficiently. \n\nTo make multiple edits to a file, provide the following:\n1. filepath: The path to the file to modify, RELATIVE to the project/workspace root (verify the directory path is correct)\n2. edits: An array of edit operations to perform, where each edit contains:\n   - old_string: The text to replace (must match the old file contents exactly, including all whitespace/indentation)\n   - new_string: The edited text to replace the old_string\n   - replace_all: Replace all occurrences of old_string. This parameter is optional and defaults to false.\n\nIMPORTANT:\n- Files may be modified between tool calls by users, linters, etc, so always make all edits in one tool call where possible. For example, do not only edit imports if there are other changes in the file, as unused imports may be removed by a linter between tool calls.\n- All edits are applied in sequence, in the order they are provided\n- Each edit operates on the result of the previous edit, so plan your edits carefully to avoid conflicts between sequential operations\n- Edits are atomic - all edits must be valid for the operation to succeed - if any edit fails, none will be applied\n- This tool is ideal when you need to make several changes to different parts of the same file\n\nCRITICAL REQUIREMENTS:\n1. ALWAYS use the read_file tool just before making edits, to understand the file's up-to-date contents and context. The user can also edit the file while you are working with it.\n2. This tool CANNOT be called in parallel with other tools.\n3. When making edits:\n- Ensure all edits result in idiomatic, correct code\n- Do not leave the code in a broken state\n- Only use emojis if the user explicitly requests it. Avoid adding emojis to files unless asked\n- Use replace_all for replacing and renaming all matches for a string across the file. This parameter is useful if you want to rename a variable, for instance\n\nWARNINGS:\n- If earlier edits affect the text that later edits are trying to find, files can become mangled\n- The tool will fail if edits.old_string doesn't match the file contents exactly (including whitespace)\n- The tool will fail if edits.old_string and edits.new_string are the same - they MUST be different\nTOOL_ARG: filepath (string, required)\nThe path to the file to modify, relative to the root of the workspace\nEND_ARG\nTOOL_ARG: edits (array, required)\nArray of edit operations to perform sequentially on the file\nEND_ARG\n```\n\nFor example, this tool definition:\n\n```tool_definition\nTOOL_NAME: example_tool\nTOOL_ARG: arg_1 (string, required)\nDescription of the first argument\nEND_ARG\nTOOL_ARG: arg_2 (number, optional)\nEND_ARG\n```\n\nCan be called like this:\n\n```tool\nTOOL_NAME: example_tool\nBEGIN_ARG: arg_1\nThe value\nof arg 1\nEND_ARG\nBEGIN_ARG: arg_2\n3\nEND_ARG\n```\n\nIf it seems like the User's request could be solved with one of the tools, choose the BEST one for the job based on the user's request and the tool descriptions\nThen send the ```tool codeblock (YOU call the tool, not the user). Always start the codeblock on a new line.\nDo not perform actions with/for hypothetical files. Ask the user or use tools to deduce which files are relevant.\nYou can only call ONE tool at at time. The tool codeblock should be the last thing you say; stop your response after the tool codeblock.\n</tool_use_instructions>\n\n<user>\ntest\n\n",
          "completion": "<assistant>\nHi\n\n<assistant>\n! I'm Mia, your QuantConnect assistant. I can help you with:\n\n- Designing and coding trading algorithms\n- Running\n\n<assistant>\n backtests and analyzing results\n- Deploying algorithms to live trading\n- Debugging and fixing code\n\n<assistant>\n issues\n- Working with Jupyter notebooks in Research\n- Optimizing algorithm parameters\n\n<assistant>\n\n\nWhat would you like to work on today?\n\n<assistant>\n\n\n"
        }
      ],
      "isGatheringContext": false
    }
  ]
}