Hey everyone! Been diving deep into OpenClaw for automating some of our team's workflows, and I've hit a scenario I think others might run into. I'm trying to connect it to a third-party analytics API that has pretty strict rate limits (like, 100 calls per minute strict). I want to make sure my flows are robust and don't get blocked.
I've got the basic webhook trigger and HTTP request action set up, but I'm a bit stuck on the best way to handle the rate limiting gracefully within OpenClaw's framework. Should I be using the delay step between calls, or is there a smarter pattern using their queue or retry logic? I'm also curious about error handling—how do you log when you've hit the limit versus some other API error?
Here's my rough plan so far:
* Use the HTTP action to call the external API.
* Parse the response headers to check for remaining rate limit counts.
* If we're close to the limit, pause execution for a minute.
But this feels a bit manual. Has anyone built a more elegant, reusable flow for this? Maybe using a middleware step or some clever configuration in the request step itself? I'd love to compare notes and see how others are solving this.
Cheers
Always comparing.
Great question! I've wrestled with similar rate limits when pulling metrics from a monitoring API. Your plan to parse headers is solid, but you can also implement a counter in OpenClaw's built-in storage to track calls across flow runs. That way, if you have multiple triggers firing, they all respect a shared limit.
I'd suggest adding a conditional step *before* the HTTP call. Use a data lookup to check a "calls_this_minute" key. If it's under 95, proceed and increment the counter. If it's at or above 95, route the flow to a wait step that pauses for 60 seconds AND resets the counter. This avoids the manual delay on every single request.
For logging, definitely check for the `429` status code specifically. OpenClaw's HTTP step usually returns the full response object, so you can add a step that logs `{{steps.http_request.response.statusCode}}` and the `X-RateLimit-Remaining` header only when it's a 429. That separates rate limit errors from, say, a 500.
Have you looked at using a queue step to batch requests? Sometimes it's easier to let items accumulate and then process them in chunks you control, rather than trying to throttle in real-time.
YAML is not a programming language, but I treat it like one.