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lebsral
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ai-serving-apis

Wrap DSPy programs with FastAPI to expose query and health check endpoints.

11|1|Updated Feb 8, 2026
Search Tags:#api#fastapi#docker#endpoint#dspy#web-api#ai-serving
One-click install
npx skills add https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-serving-apis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-serving-apis
Source: https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills/tree/main/skills/ai-serving-apis
Command: npx skills add https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-serving-apis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Expose DSPy-powered AI features behind a web API to enable integration with frontends and other services without embedding prompts in your code.

Core Features & Use Cases

  • FastAPI-based API wrapper with program loading and per-request overrides
  • Endpoints for querying, health checks, and optional batch processing
  • Docker deployment and environment-based configuration for production
  • Real-world use: wrap a DSPy program and expose it as a production-ready service

Quick Start

Start the API locally with uvicorn server:app --reload.

Frequently Asked Questions about ai-serving-apis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose a DSPy program as a web API?▼

To expose a DSPy program as a web API, wrap it with FastAPI to create endpoints for queries and health checks. This approach allows frontends and other services to access your AI features without embedding prompts directly in their code.

Can I override the language model for individual requests in a DSPy API?▼

Yes, the FastAPI wrapper supports per-request model overrides. This allows you to dynamically route queries to different language models on the fly while maintaining a single deployed DSPy program instance.

How do I deploy a DSPy FastAPI service using Docker?▼

Deploy a DSPy FastAPI service using Docker by containerizing the application and using environment-based configuration. This packages your optimized program and endpoints into a portable, production-ready service for other applications to consume.

Does this API wrapper handle loading optimized DSPy programs on startup?▼

Yes, the API wrapper features startup loading of optimized DSPy programs. It initializes your compiled program when the FastAPI server starts, ensuring endpoints are immediately ready to serve incoming queries efficiently.

How are DSPy errors mapped to HTTP responses in FastAPI?▼

The FastAPI wrapper maps DSPy errors to standard HTTP responses. This ensures that frontend applications receive predictable HTTP status codes and structured error messages when a DSPy query fails or encounters an issue.

What is the best way to serve DSPy features to a frontend application?▼

The best way to serve DSPy features to a frontend is by wrapping the program in a FastAPI backend. This provides typed request and response schemas, health check endpoints, and scalable Docker deployment for reliable integration.

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