@@ -91,10 +91,9 @@ MCP_SERVER_URI="http://localhost:8000/sse"
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# Check if this is still needed
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DB_PATH=" data/contoso.db"
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- # User to replace your-agent with name of agent python file
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- # E.g AGENT_MODULE="agents.loop_agent"
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- AGENT_MODULE=" agents.your-agent"
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-
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+ # Specify your agent Python module path
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+ # AGENT_MODULE="agents.autogen.single_agent.loop_agent"
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+ AGENT_MODULE=" path_to_your_agent_module"
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```
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@@ -105,13 +104,16 @@ AGENT_MODULE="agents.your-agent"
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### 5. Run MCP Server
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- Go to "run" folder, and in terminal window with virtual environment activated, run MCP server
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+ Navigate to ``` agentic_ai/backend_services ``` folder, and in terminal window with virtual environment activated, run MCP server
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``` bash
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- python mcp_service.py # Don't close terminal window once MCP server is running, use new terminal to run application
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+ python mcp_service.py
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+ # Keep this terminal open; open another terminal for the next step.
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+
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```
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### 6. Run application
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+ Navigate to ``` agentic_ai/applications ```
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The common backend application runs the agent selected in the .env file and connects to the frontend UI.
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@@ -130,7 +132,8 @@ This script will start the FastAPI backend (`backend.py`) and the Streamlit fron
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### 1. Start the FastAPI Backend
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``` bash
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- python backend.py # Don't close terminal window once backend server is running, use new terminal to run frontend
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+ python backend.py
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+ # Keep this terminal open; open another terminal for the frontend.
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```
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The backend will be available at ` http://localhost:7000/chat ` .
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