Cheat sheets › LLM API Reference: Parameters, Schemas and Production Patterns
LLM API Reference: Parameters, Schemas and Production Patterns
The settings and habits that matter when you call a language model from code. Names vary by provider; the ideas do not.
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What is inside
- Sampling parameters
- Asking for structured output
- Validate what comes back
- Tokens, cost and memory
- Defending against prompt injection
- Two reusable system prompts
- Latency and memory checklist
- Images and audio
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