Pydantic Ai Model Integrationv1.0.1

Build a chatbot that uses OpenAI as primary model and falls back to Anthropic or Google when rate limits or server errors occur, ensuring high availability.

Use a cheaper model like gpt-4o-mini for high-volume content drafts, then switch to a premium model for final polishing. Dynamically select models based on the complexity of the task.

Implement a streaming AI that outputs a story word-by-word, providing a smooth user experience. Use structured output to get parsed story components (title, content, moral) as they stream.

Create an AI agent that reviews code changes, with strict token limits per request to control costs and prevent runaway API calls. Track usage to monitor spending.

Allow users to choose their preferred AI provider via environment variables or runtime overrides. Use deferred model checking to simplify testing and provider switching.

Offer a subscription service that wraps multiple AI models with intelligent fallback and rate limiting, charging customers per API call or monthly tier.

Sell a customizable chatbot solution to businesses, using dynamic model selection to adapt to each client's preferred provider and cost constraints.

Build a platform that generates articles, stories, or marketing copy using streaming and fallback models, offering tiered plans based on output quality and speed.