| """ |
| Prompts for DevBot and DevOps / Engineering Persona Prompts |
| """ |
|
|
| from ..schemas.tool_schemas import GenerateLogoArgs, RagSearchArgs, SearchCodeArgs |
|
|
|
|
| def get_devbot_analysis_prompt(command: str, stderr: str) -> str: |
| """ |
| Returns the system prompt for DevBot L2 error analysis. |
| """ |
| return f""" |
| You are an expert software engineer and debugger (Archon DevBot). |
| The following shell command failed: |
| |
| Command: `{command}` |
| |
| Error Output (stderr): |
| {stderr} |
| |
| ### YOUR MISSION |
| Analyze the error. You have access to MCP tools to search the codebase and knowledge base if needed. |
| 1. If the error is a fixable code error (e.g., SyntaxError, logic bug, missing import), provide a fix. |
| 2. If you are unsure about the correct implementation or API usage, use the `search_code_examples` tool BEFORE proposing a fix. |
| |
| ### RESPONSE FORMAT |
| You MUST return a JSON object with the following structure: |
| {{ |
| "file_path": "The relative path of the file to fix (e.g., 'scripts/foo.py')", |
| "fixed_content": "The COMPLETE content of the fixed file (do not use diffs)", |
| "reasoning": "A brief explanation of the fix and what tools you used to verify." |
| }} |
| |
| If the error is an environment issue or you cannot fix it by modifying code, return an empty JSON object {{}}. |
| Ensure the "fixed_content" is valid code for the target language. |
| |
| Return ONLY raw valid JSON. Do NOT wrap the response in markdown blocks (e.g. no ```json). |
| """ |
|
|
|
|
| |
|
|
| |
| DEVBOT_TOOLS = [ |
| { |
| "type": "function", |
| "function": { |
| "name": "search_code_examples", |
| "description": "Search the codebase for specific patterns or API usage examples.", |
| "parameters": SearchCodeArgs.model_json_schema(), |
| }, |
| }, |
| { |
| "type": "function", |
| "function": { |
| "name": "rag_search_knowledge_base", |
| "description": "Search the official documentation and knowledge base for help.", |
| "parameters": RagSearchArgs.model_json_schema(), |
| }, |
| }, |
| { |
| "type": "function", |
| "function": { |
| "name": "generate_logo", |
| "description": "Generate an SVG logo based on descriptive keywords.", |
| "parameters": GenerateLogoArgs.model_json_schema(), |
| }, |
| }, |
| ] |
|
|
