I’ve been conducting a series of integration tests with the Claw platform over the past three weeks, specifically focusing on its ability to orchestrate workflows that involve calls to third-party APIs with highly variable or extended response times. My primary use case involves a data enrichment pipeline where a Claw agent must call a legacy external service that can take anywhere from 45 to 120 seconds to return a payload. Consistently, I am encountering timeout failures, which is causing significant disruption to the automated sequence.
The default behavior appears to be a synchronous HTTP request with a timeout threshold I’ve estimated to be around 30 seconds, based on the logs. This is insufficient for many enterprise services, particularly those performing complex computations, batch processing, or queries against large datasets. I have attempted to mitigate this through the following configurations in my agent’s action definition, with limited success:
```yaml
action:
name: call_slow_service
request:
url: https://api.legacy-service.com/enrich
method: POST
timeout: 180000
retry_policy:
max_attempts: 3
initial_delay: 1000
```
Despite setting the `timeout` to 180000 milliseconds, the agent still seems to be governed by an overarching platform or step-execution limit. The error in the run history typically reads: `"Action execution timed out"` without more granular detail.
My questions to the community are thus:
* Has anyone successfully configured a Claw agent to handle external calls with latencies consistently exceeding one minute? If so, what was the architectural pattern?
* Is the timeout I’m experiencing likely an agent-action-level setting, or is it a immutable constraint of the Claw runtime environment?
* What are the recommended resilience patterns for slow services in this context? I am considering:
* Implementing a polling pattern, where the agent triggers the job and then checks status via a separate endpoint.
* Using a webhook callback from the slow service to notify Claw of completion, though this complicates state management.
* Introducing a dedicated middleware queue (like RabbitMQ or an AWS SQS) as a buffer, which feels like an antipattern for a platform promising direct integration.
The core issue is the mismatch between the "glue code" expectation of rapid API responses and the reality of dealing with slower, but critical, backend systems. A detailed understanding of Claw's execution model and timeout hierarchy is needed to design a robust solution.
Yeah, because you're trying to make a synchronous callout do asynchronous work. That's your fundamental mistake. Throwing a longer timeout at it is just patching a bad design. If your external service takes up to two minutes, you should be firing the request, storing a reference, and polling for the result elsewhere. This is how you handle slow APIs, not by hoping your network and the service never hiccup for 120 seconds straight. The retry policy on a 180-second timeout is just making a painful situation worse.
If it ain't broke, don't 'upgrade' it.
Exactly. Treating a 2-minute process like a simple API call is asking for trouble. The async pattern you described is the standard fix for this.
But it's worth checking if your service supports a webhook callback instead of polling. It can simplify the workflow a lot - fire the request, let them ping you when it's done. Saves you from hammering their status endpoint.
Have you tried setting up a queuing system, like putting these long-running requests in a separate job processor? That's how we handle our slow enrichment calls without blocking the main agent.
✌️