#19One model, three roles — route by promptEasyLLMsAgentic AI
One model, three roles — route by prompt
Background
The planner, executor, and synthesiser are the same LLM given different system prompts. The agent picks the mode by inspecting the system prompt:
- contains
"planner"or"decompose"→ plan - contains
"synthesiser"or"synthesize"→ synthesize - otherwise → react (the step-by-step executor)
Problem statement
Implement llm_mode(system_prompt) returning which role the prompt selects.
Input
system_prompt— the system message string.
Output
Returns "plan", "synthesize", or "react".
Examples
Example 1
Input: "You are a research planner. Decompose the question..."
Output: "plan"
Example 2
Input: "You are a research assistant that works step by step."
Output: "react"
Constraints
- Case-insensitive substring checks.
"planner"/"decompose"→"plan";"synthesiser"/"synthesize"→"synthesize"; else"react".- Check plan before synthesize before defaulting to react.
Notes
- "Multi-agent" here means different prompts and tools behind one interface — not different models.
Python
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▶ Run executes the 3 visible sample tests below in your browser. Submit runs the full suite — including hidden tests — on the server for an official verdict.
- •Reference example: planner prompt routes to plan
- •Sample: synthesiser prompt routes to synthesize
- •Reference: default executor prompt routes to react