| LLMSwap is a CLI and Python SDK for switching between AI providers (OpenAI, Claude, Gemini, IBM watsonx, Ollama) with automatic fallbacks and response caching. Started this during a hackathon when constantly switching between Claude for code review and GPT-4 for debugging. Got tired of managing different API clients and keys. After the hackathon, kept building on it. Added CLI when I wanted to pipe error logs directly to AI for analysis. Added caching when I realized I was testing the same prompts repeatedly during development and burning API credits. Added code review features when our team started using it in CI/CD. New in v3.0 - Professional CLI:
1. llmswap ask "Debug this SQL query performance issue"
2. llmswap review app.py --focus security
3. llmswap chat # Interactive AI sessions
4. llmswap debug --error "ConnectionTimeout in production" Python SDK features:
1. Multi-provider support (OpenAI, Claude, Gemini, IBM watsonx, Ollama)
2. Response caching for cost reduction (great for development/testing)
3. Auto-fallback when providers fail
4. Async support with streaming
5. Thread-safe for production apps Real-world use cases:
1. Developers: Code review, debugging, documentation
2. Content teams: Writing, analysis, research
3. Startups: Prototype quickly, switch providers based on cost/features
4. Students: Free local models (Ollama) + cloud when needed
5. Enterprise: IBM watsonx integration for regulated environments Three versions later, it's become our go-to tool for anything AI-related in development workflows. The CLI works great in automation - we use it for automated code review and log analysis in CI/CD. Technical notes:
1. Zero dependencies for basic CLI usage
2. Works offline with local models (Ollama)
3. Production-ready with error handling and retries
4. Full backward compatibility from v1.0 Real-world adoption: 5k+ PyPI downloads Install: pip install llmswap |