Framework Detection

When the user has existing Python code they want to integrate into Omnigent, 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).

1. 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 |

1. 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)

claude_sdk

The user's Claude SDK code runs directly. Generate config that points to their entry module:

yaml
executor:
  type: claude_sdk

agents_sdk

The user's OpenAI Agents SDK code runs directly:

yaml
executor:
  type: agents_sdk

Asking about unsupported frameworks

If the user's framework is not natively supported, let them know:

• Explain that Omnigent does not currently have a supported executor for that framework.
• Offer to show them a pre-filled GitHub issue URL requesting first-class

support for their framework.

• If they want to start fresh instead, recommend generating a standard llm agent.
• The issue URL format: https://github.com/dbczumar/omnigent/issues/new?title=...&body=...