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prince

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LLM Orchestration Architecture

#llm #ai #mcp #agentaichallenge

This Architecture works well and so simple to implement


This architecture centralizes all interactions between the client and the LLM through the backend. The client sends requests to the backend’s agent API, which communicates with an AI gateway. The gateway, in turn, interacts with the LLM provider. The LLM receives context and guidance messages from the backend that specify which tools are available and how they can be used. Based on this information, the LLM instructs the backend’s tool dispatcher on which tools to execute. The backend executes the requested tools, returns the results to the LLM, and the LLM integrates these results to generate a natural-language response. Finally, the response passes back through the gateway to the backend, which delivers the final output to the client. This design ensures that the backend fully controls the orchestration, tool execution, and conversation context, while the client interacts solely through the backend API.

This architecture enables the backend to orchestrate all interactions between the client and the LLM.
The flow works as follows:

1. Client Request: The client sends a request to the backend API.

  1. Backend as Agent: The backend acts as an AI agent orchestrator, managing the conversation and available tools.

3. LLM Gateway Interaction: The backend forwards the request to an AI Gateway (e.g., OpenRouter), which communicates with the chosen LLM provider.

4. Tool Guidance: The LLM receives context and instructions about which tools are available from the backend.

5. Tool Call Execution: The LLM can request execution of specific tools. The backend’s tool dispatcher executes these functions and returns the results.

6. LLM Response Generation: The LLM processes the tool outputs, incorporates them into the context, generates a natural-language response, and sends it back through the gateway.

7. Backend Response to Client: The backend receives the LLM’s final response and returns it to the client.

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