Guides
Practical walkthroughs for common VernLLM use cases
Learn how to implement real-world patterns with VernLLM. These guides build on the core features and show how to combine them to solve common application needs.
Resume Parsing
Extract structured candidate data from resumes using Zod schemas
Caching Methods
Choose between exact, normalized, tiered, and semantic caching
Provider Fallback Patterns
Ordered fallback patterns for LLM providers: key rotation, mixed providers, and reading fallback results
Tuning Rate Limits
Size rateLimit against a real provider plan and share one budget across your app
Multi-turn Conversations
Build chat experiences by managing conversation history across requests
Tool Execution Loop
Build a full request, execute, continue loop around a model that calls your functions
Streaming Responses
Relay a streaming call() to an HTTP client, with cancellation and cached replays handled correctly
Per-call Overrides
Override models, providers, and generation settings for individual requests