Add LLM and AI workflow examples (fixes #34) #36
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Added comprehensive examples for modern LLM/AI development: New Examples: - openai_gpt-example.py: OpenAI GPT-4/GPT-3.5 examples - Chat completions, streaming, function calling - System prompts, conversation memory, JSON mode - anthropic_claude-example.py: Anthropic Claude examples - Claude 3.5 Sonnet/Opus/Haiku integration - Streaming, multi-turn conversations, vision - Extended thinking, response prefill - langchain-example.py: LangChain framework examples - Prompt templates, chains, memory - Structured outputs with Pydantic - RAG patterns, few-shot prompting - instructor-example.py: Structured outputs with type safety - Pydantic model validation - Classification, sentiment analysis - Chain of thought, streaming outputs Configuration: - .env.example: Template for API keys - Added dependencies: openai, anthropic, langchain, instructor, python-dotenv Documentation: - Updated README with LLM/AI section - Usage examples and API key setup instructions - Links to documentation and API key resources Closes #34
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Added comprehensive examples for modern LLM/AI development:
New Examples:
openai_gpt-example.py: OpenAI GPT-4/GPT-3.5 examples
anthropic_claude-example.py: Anthropic Claude examples
langchain-example.py: LangChain framework examples
instructor-example.py: Structured outputs with type safety
Configuration:
Documentation:
Closes #34