Topic
Migrating Between LLM Providers
14 posts on migrating between llm providers — part of developer tools on the n4n AI blog.
What changes when you migrate from Claude to Gemini
A practitioner's analysis of Claude to Gemini migration differences: API schema, tool use, multimodal, caching, and tradeoffs for engineers switching models.
Switching from Claude to Llama 3 for cost savings
A practical engineering guide to Claude to Llama 3 migration: assess dependencies, port prompts, handle tooling, eval, and cut over for cost savings.
Rolling back a failed LLM provider migration safely
A practical guide to rolling back LLM provider migration safely: staged cutover, feature flags, request shadowing, and clean fallback paths for prod systems.
OpenAI to Qwen migration: what breaks and why
Analyzes why OpenAI to Qwen migration issues break production LLM apps: tokenizer drift, tool call schema gaps, response shape changes, and how to mitigate.
Migrating function calling from OpenAI to Claude
Step-by-step function calling migration OpenAI to Claude tutorial: adapt OpenAI tool definitions to Anthropic schema, call Claude, and parse tool_use in Python.
Migrating from GPT-4 to open-weight models like Llama
Step-by-step engineering guide for GPT-4 to open-weight model migration using Llama, with code, tool-calling fixes, and pitfalls
Migrating from a single provider to multi-provider routing
A practical guide to single to multi-provider LLM migration: decouple SDKs, add routing, normalize APIs, implement fallback, and observe usage.
Migrating a production app from GPT-4 to Gemini 2.5
Step-by-step tutorial for a production GPT-4 to Gemini 2.5 migration: audit usage, adapt requests, handle tool calls, and roll out with fallbacks.
How to test output parity when switching LLM providers
A practical harness for testing output parity across LLM providers: capture prompts, run dual inferences, normalize, diff, and gate migrations in CI.
How to run shadow traffic during an LLM provider migration
Step-by-step guide to shadow traffic testing for LLM migration: mirror production prompts to a new provider, compare outputs, and cut over safely.
How to migrate prompts from OpenAI to DeepSeek
Practical steps to migrate prompts from OpenAI to DeepSeek, covering chat format, tool calls, client changes, and verification to avoid silent regressions.
How to migrate from OpenAI to Claude without rewrites
Step-by-step guide to migrating OpenAI to Claude API without rewriting your code, using an OpenAI-compatible gateway and minimal config changes.
Comparing tokenizers when migrating between LLM providers
A practical head-to-head comparison of LLM tokenizers across OpenAI, Anthropic, Google, Meta, and Mistral, covering cost, latency, and migration pitfalls.
A checklist for migrating LLM providers safely
A practical LLM provider migration checklist for engineers: audit prompts, abstract APIs, map models, test fallbacks, and validate output before cutover.
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
- Model Deprecation & Version Migration14
- RAG Pipeline Observability14
- Regression Testing for Prompts14
- Compliance & Audit Logging for Regulated Industries13
- CrewAI & AutoGen Multi-Agent Debugging13
- Guardrails & Content Moderation Testing13