detect-frameworklisted

# Framework Detection When the user has existing Python code they want to integrate into Doppl, detect the framework from import statements and recommend the appropriate executor type. ## Detection Procedure 1. Ask the user for the path to their agent code (or look for Python files in the current directory if filesystem access is enabled). 2. Scan Python files for import patterns. Check in this priority order: | Import pattern | Framework | Executor type | |---------------|-----------|---------------| | `import anthropic` or `from anthropic` + agent patterns (e.g. `Agent`, `tool`, system prompt setup) | Claude SDK | `claude_sdk` | | `import openai` or `from openai` + agents patterns (e.g. `Agent`, `Runner`, `function_tool`) | OpenAI Agents SDK | `agents_sdk` | | `from langgraph` or `import langgraph` | LangGraph | Not natively supported yet | | `from deepagents` or `import deepagents` | DeepAgents | Not natively supported yet | | `from langchain` or `import langchain` | LangChain | Not natively supported yet | | `from crewai` or `import crewai` | CrewAI | Not natively supported yet | | `from autogen` or `import autogen` | AutoGen | Not natively supported yet | | None of the above | Unknown | Not natively supported yet | 3. Report what you found and recommend the executor type. ## What to generate for each executor type ### `llm` (default — no existing code) Generate a standard agent directory: ```yaml executor: type: llm # or omit entirely (llm is the default)