dspy-react
Build Tool-Using Agents with dspy.ReAct
Guide the user through building agents that reason step-by-step and call tools to accomplish tasks. dspy.ReAct implements the Reasoning-Action-Observation loop -- the agent thinks about what to do, calls a tool, observes the result, and repeats until it has an answer.
What is ReAct
dspy.ReAct implements the Reasoning-Action-Observation loop as an optimizable module. The agent reasons about what to do, calls a tool, observes the result, and repeats until it has enough information to answer. DSPy handles the loop mechanics and prompt construction.
When to use ReAct
| Use ReAct when... | Use something else when... |
|---|---|
| The agent needs to call external tools (search, APIs, databases) | You just need input -> output with no tools (dspy.ChainOfThought) |
| Multi-step reasoning with real-world data | The task is purely computational / code-heavy (dspy.CodeAct) |
| You want the agent to decide which tools to call and in what order | You have a fixed pipeline of steps (dspy.Module with sub-modules) |
| You need an interpretable trace of reasoning + actions | You need agents coordinating with each other (see /ai-coordinating-agents) |
Defining tools
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