Build More Reliable Agents with Retries and Usage Limits in PydanticAI
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Today we’re making your agents more reliable and the AI costs more predictable through Retries and Usage Limits. Retries are parameters that can be passed to notify an agent how many times it should attempt to answer a user query. This prevents infinite loops and can add to more predictable apps. Similarly, usage limits can be set on the number of tokens or tool calls.
Retries in PydanticAI can be set at the agent level, for each tool call and for the result validator functions. We will work on examples for each category, so you will get plenty of practice.
💡 Examples:
1️⃣ Hello, World!
2️⃣ Agent Retries (Extended version)
3️⃣ Result Validator Retries (Extended version)
4️⃣ Tool Retries (Extended version)
5️⃣ Usage Limits - Tokens (Extended version)
6️⃣ Usage Limits - Requests (Extended version)
Masterclass Series:
▶️ Part 1: • The Best Agent Framework Has Arrived ...
▶️ Part 2: • From Chaos to Clarity: LLM Tracing wi...
▶️ Part 3: • 100% Reliable LLM Outputs with Struct...
▶️ Part 4: • Dramatic Improvement! Design Better A...
▶️ Part 5: • Design Better AI Agents With Function...
▶️ Part 6: • Transform You Agents with Result Vali...
▶️ Part 7: • Improve Agent Scalability with Depend...
▶️ Part 8: • Build More Reliable Agents with Retri...
▶️ Part 9: Better Context Retention with Agent Memory in PydanticAI
▶️ Part 10: Building Resilient Agents: Best Practices for Handling Model Errors in PydanticAI
▶️ Part 11: Better User Experience with Streaming Outputs in PydanticAI
▶️ Part 12: Achieving Precision and Efficiency with Advanced Model Settings
▶️ Part 13: Multi-Model Agents in PydanticAI: Unlocking Next-Gen AI Capabilities
▶️ Part 14: Mastering RAG in PydanticAI: Better AI Agents with Real-Time Data
▶️ Part 15: Masterclass Final Project: AI Resume Writing with Multiple Agents
🎯 Whether you're building a chatbot, an AI agent, or any other LLM-powered system, this tutorial provides practical examples to elevate your application’s ability to get better outputs from AI.
What agents are you building? Join the conversation at / discord
🔗 Links & Resources:
Skool: https://www.skool.com/ai-software-dev...
Code the Revolution: Newsletter - https://aidev9.substack.com/
Discord server: / discord
PydanticAI: https://ai.pydantic.dev
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