Create a helper function to poll for agent deployment readiness

[bbatha]

When a Gradient AI Platform Agent is started it needs to deploy which can take 30s or longer. Currently users must write loops to poll for the agent state, roughly.

from gradient import Gradient

client = Gradient()
while True:
  agent = client.agents.retrieve(
      "uuid",
  )
 if agent.agent.deployment.status != "STATUS_RUNNING":
    continue

This should of course handle failed states for errors and such

[digvijay-y]

I'm up for this!

[shreya112003]

Hi @bbatha
I’d like to work on this issue.

Approach:

Create a helper function (e.g., poll_for_agent_ready) that polls the agent’s deployment status until it’s "STATUS_RUNNING".

Add handling for terminal error states to prevent infinite loops.

Include a configurable polling interval and timeout.

Add brief tests and docstrings for clarity.

Could you please assign this issue to me? I’ll follow the repo’s contribution guidelines and open a PR soon.

Thanks!

[Aazib-at-hub]

@bbatha Please assign this issue to me. I’ll implement proper polling with backoff, timeout, and error handling for agent deployment so users don’t have to manually loop for STATUS_RUNNING

[Raj-Dwivedi2005]

Hi! I’m interested in working on this issue. Could you please assign it to me? Thank you!

[cipheraxat]

Hey @bbatha hope you are doing well. I have created a PR. Could you please review it and share your comments?