What it actually does
Switchyard is a blazing fast proxy server written in Rust that routes and translates LLM traffic. If you have an AI agent hardcoded to use OpenAI's API, but you want to run it against Anthropic's Claude or a local Llama 3 model, Switchyard sits in the middle and flawlessly translates the API payload. It handles streaming, tool calling, and structured outputs natively, allowing you to swap out closed-source models for open-source alternatives without rewriting your agent's code.
Who it's for
- 01
AI engineering teams who want to test their agents against different LLMs without refactoring code
- 02
Enterprises migrating away from OpenAI to local, open-source models for privacy reasons
- 03
Ops teams needing a central gateway to rate-limit, log, and load balance LLM API requests
Where it earns its keep
- Running Claude Code or Cursor against a locally hosted Llama 3 model
- Creating a central LLM gateway for your entire engineering team to monitor API spend
- Gracefully falling back to Azure OpenAI if your primary Anthropic API key hits a rate limit
Use it, or skip it
Reach for it when
- You have an agent hardcoded to the OpenAI spec but want to use Claude
- You need enterprise-grade telemetry and routing for your internal LLM usage
Skip it when
- You are just writing a simple python script—just use LiteLLM or the native SDKs instead of running a proxy server
- Your agent requires highly specific model features (like Gemini's massive context window) that don't translate well
10 automations
Ideas, not tutorials. Each one is work a team does by hand today.
- 01Operations
Cost-Optimized LLM Router
Route simple summarization tasks to Llama 3, while routing complex coding queries to Claude 3.5 Sonnet, saving 80% on API costs.
- 02Engineering
Automated API Fallback
When OpenAI goes down, Switchyard automatically re-routes all traffic to Anthropic, ensuring zero downtime for your agents.
- 03Operations
Centralized Audit Logger
Log every single prompt and completion across your entire organization into BigQuery for compliance auditing.
- 04Engineering
PII Redaction Proxy
Agent strips credit cards and SSNs from prompts at the proxy layer before they ever reach an external API.
- 05Engineering
Rate Limiter for Internal Agents
Prevent runaway infinite loops in your agents by enforcing a strict budget cap per minute at the proxy level.
- 06Engineering
Local Dev Override
When engineers run agents locally, automatically route traffic to a cheap local model, but route to GPT-4 in production.
- 07Founders
A/B Testing Framework
Randomly split 50% of your customer support agent traffic to Claude and 50% to OpenAI to measure resolution times.
- 08Engineering
Token Caching Layer
Cache exact duplicate prompts at the edge so frequent identical queries (like CI/CD checks) return instantly and cost nothing.
- 09Engineering
Semantic Routing
Use a tiny local model to classify the prompt intent, then route code queries to DeepSeek and creative queries to Claude.
- 10Engineering
Shadow Deployment
Copy production LLM traffic and run it against a new open-source model asynchronously to evaluate its performance before switching.
Want one of these running by Friday?
LimeDock builds these as real workflows inside your stack — deployed to your cloud, wired into your Slack and CRM, with the code in your repo. You pay a build fee and your own API keys, nothing else.
Source
Repository stats were read from the GitHub API and reflect the last time we refreshed this entry. The editorial breakdown above is LimeDock’s own analysis — we are not affiliated with NVIDIA-NeMo.
https://github.com/NVIDIA-NeMo/Switchyard