This updated tutorial guides developers through enabling function calling in Mistral Agents via the standard JSON Schema format Function calling allows agents to invoke external APIs or tools (like weather or flight data services) dynamically during conversation—extending their reasoning capabilities beyond text generation.
🧩 Why Function Calling?
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Seamless tool orchestration: Enables agents to perform actions—like checking bank interest rates or flight statuses—in real time.
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Schema-driven clarity: JSON Schema ensures function inputs and outputs are well-defined and type-safe.
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Leverage MCP Orchestration: Integrates with Mistral's Model Context Protocol for complex workflows
🛠️ Step-by-Step Implementation
1. Define Your Function
Create a simple API wrapper, e.g.:
2. Craft the JSON Schema
Define the function parameters so the agent knows how to call it:
3. Create the Agent
Register the agent with Mistral's SDK:
The agent now recognizes the function and can decide when to invoke it during a conversation.
4. Start Conversation & Execute
Interact with the agent using a prompt like, "What's today's interest rate?"
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The agent emits a
function.call
event with arguments. -
You execute the function and return a
function.result
back to the agent. -
The agent continues based on the result.
This demo uses a mocked example, but any external API can be plugged in—flight info, weather, or tooling endpoints
✅ Takeaways
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JSON Schema simplifies defining callable tools.
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Agents can autonomously decide if, when, and how to call your functions.
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This pattern enhances Mistral Agents’ real-time capabilities across knowledge retrieval, action automation, and dynamic orchestration.