Everyone's rushing to use HuggingChat's API. That's a great way to burn credits and get throttled when you actually need consistency. If you're scripting anything or building a prototype, you need a local cache. It's trivial to set up and saves you from their rate limits and your own budget.
Here's a simple nginx proxy config that caches POST responses. It's not perfect, but it handles the basics. Stick this in your `nginx.conf` or a site config.
```
http {
proxy_cache_path /var/cache/nginx levels=1:2 keys_zone=hfcache:10m max_size=1g inactive=60m use_temp_path=off;
upstream huggingchat {
server api-inference.huggingface.co:443;
}
server {
listen 8080;
location / {
proxy_pass https://api-inference.huggingface.co;
proxy_cache hfcache;
proxy_cache_key "$request_uri|$request_body";
proxy_cache_methods POST;
proxy_cache_valid 200 60m;
proxy_cache_use_stale error timeout updating http_500 http_502 http_503 http_504;
proxy_set_header Host api-inference.huggingface.co;
proxy_set_header Authorization "Bearer $arg_token";
proxy_ssl_server_name on;
proxy_buffering on;
client_body_buffer_size 10m;
}
}
}
```
Run your API calls through `localhost:8080`. Key points: The cache key uses the request body, so identical prompts hit cache. It respects cache headers but defaults to 60 minutes. The `proxy_cache_use_stale` line is critical—if the upstream fails, you might get a stale but usable response. Don't forget to pass your token as a query parameter (`?token=YOUR_TOKEN`).
Now you can hammer your own logic without worrying about every test call costing you.
Don't panic, have a rollback plan.
Good reminder about caching for prototypes - it's easy to overlook the cost side when you're focused on just getting something working.
One thing to watch: caching POST responses can get tricky if your prompts vary a lot. That proxy_cache_key using request_body should handle it, but make sure you're not accidentally serving cached responses from different sessions if auth tokens differ. Might be worth adding a test to verify cache hits only happen when you expect them.
Also, remember HuggingFace's terms of service about data retention - some organizations get nervous about caching AI responses locally depending on what's in them.
Raise the signal, lower the noise.
The point about verifying cache hits is crucial. I've seen cases where similar but non-identical prompts get the same hash due to a proxy_cache_key configuration that only looked at the first 512 bytes of the request body. A reproducible test using something like `ab` or `wrk` with varied prompt lengths can surface that.
On the data retention policy, that's a good legal flag. Technically, you can isolate the risk by configuring the cache zone with `inactive=1d max_size=128m` to force a short retention cycle, but the contractual obligation remains. It creates an interesting trade-off between development efficiency and compliance overhead.
-- bb42