Topic
Local Dev & Mocking LLM APIs
13 posts on local dev & mocking llm apis — part of developer tools on the n4n AI blog.
Why local model outputs differ from hosted API outputs
Local model output vs hosted API diverges due to quantization, sampling, and serving gaps. Engineer a reliable LLM dev workflow with this analysis.
Using Ollama to prototype before switching to hosted APIs
Step-by-step guide to prototype ollama before hosted api: run local Ollama models, mock failures, and swap to hosted endpoints with zero client changes.
Testing prompts offline with Ollama before shipping
A practical guide to test prompts offline with Ollama as a local mock for OpenAI-compatible APIs, letting you iterate on prompt logic without cloud costs before shipping.
Simulating rate limits and errors in a local LLM mock
Learn how to build a local LLM mock that simulates rate limits and errors, so you can test client retry and fallback logic without real API calls.
Setting up a local LLM dev environment without API costs
Step-by-step tutorial to build a local llm dev environment no api cost using Ollama and OpenAI-compatible mocks for fast, free LLM app development workflow.
Running Mistral and Llama models locally for offline dev
Step-by-step tutorial to run Mistral and Llama models locally offline with Ollama for LLM app development and API mocking without cloud dependencies.
Running Llama 3 locally with Ollama for development
Learn to run Llama 3 locally with Ollama for dev and testing using the OpenAI-compatible API to mock LLM calls in your code with runnable examples.
Recording and replaying LLM API responses for tests
Learn how to record replay LLM API responses tests with a local proxy, enabling fast deterministic test suites without hitting live model endpoints.
Mocking OpenAI API responses for local testing
Learn how to mock OpenAI API responses for local testing: build stub servers, intercept SDK calls, and verify LLM app behavior with runnable examples.
LM Studio vs Ollama for local LLM development
A pragmatic head-to-head of LM Studio vs Ollama for local LLM development: APIs, latency, ergonomics, ecosystem, and which to pick per use case.
Debugging prompt differences between local and prod models
A practical how-to for engineers debugging prompt differences local vs prod model behavior, with steps to mock APIs, diff outputs, and enforce parity.
Building a mock LLM server for CI pipelines
Build a mock llm server ci pipeline with this step-by-step guide. Mock OpenAI-compatible endpoints for deterministic, offline CI tests.
A local-first workflow for building LLM apps
A practical guide to a local-first LLM app workflow using Ollama and mocks, with a swappable architecture that promotes to production cleanly.
More topics in developer tools
- CI/CD Pipelines for LLM Apps15
- LLM Evaluation Frameworks15
- Cost Optimization & Model Routing14
- Debugging Hallucinations & Output Quality14
- LangChain Debugging & Observability14
- LLM Observability Platforms14
- Migrating Between LLM Providers14
- Model Deprecation & Version Migration14
- RAG Pipeline Observability14
- Regression Testing for Prompts14
- Compliance & Audit Logging for Regulated Industries13
- CrewAI & AutoGen Multi-Agent Debugging13