Deep Research jobs are getting stuck in_progress and never finishing

Gemini API
1

I have multiple Deep Research jobs stuck with status=in_progress. we are passing the multiple hour mark. Same prompt works in the chat interface. Not sure what to do. This is an amazing service, I really don’t want to have to write my own research agent. Any ideas?

2

Hi
Could you provide more details about this

  1. What model are you using ?
  2. Code snippet if possible
3

I am having the exact same issue all day, almost 100 queries have been stuck in progress

4

Looking into this , will keep you posted

5

Code snippet — run_deep_research() from workers/services/llm_client.py:

from google import genai

Agent and polling constants

_DEEP_RESEARCH_AGENT = “deep-research-pro-preview-12-2025”
_DEFAULT_POLL_INTERVAL = 10.0 # seconds between polls
_DEFAULT_MAX_WAIT = 3600.0 # 1 hour timeout

async def run_deep_research(
prompt: str,
*,
poll_interval_seconds: float = _DEFAULT_POLL_INTERVAL,
max_wait_seconds: float = _DEFAULT_MAX_WAIT,
resume_interaction_id: str | None = None,
) → DeepResearchResult:
client = genai.Client() # uses GOOGLE_API_KEY from env

  # --- Create or resume interaction ---
  if resume_interaction_id:
      interaction_id = resume_interaction_id
  else:
      interaction = await client.aio.interactions.create(
          agent=_DEEP_RESEARCH_AGENT,
          input=prompt,
          background=True,
          store=True,
      )
      interaction_id = interaction.id

  # --- Poll until completed, failed, or timeout ---
  start = time.monotonic()
  last_status = None

  while True:
      elapsed = time.monotonic() - start
      if elapsed >= max_wait_seconds:
          raise LLMServiceError(
              f"Deep research timed out after {elapsed:.0f}s: "
              f"id={interaction_id} last_status={last_status}"
          )

      interaction = await client.aio.interactions.get(interaction_id)
      status = getattr(interaction, "status", None)

      if status != last_status:
          logger.info("Deep research poll: id=%s status=%s elapsed=%.0fs",
                      interaction_id, status, elapsed)
          last_status = status

      if status == "completed":
          break
      if status in ("failed", "cancelled"):
          raise LLMServiceError(f"Deep research {status}: {interaction_id}")

      await asyncio.sleep(poll_interval_seconds)

  # --- Extract results ---
  text = _extract_interaction_text(interaction)
  sources = _extract_search_sources(interaction)
  return DeepResearchResult(
      text=text,
      search_sources=sources,
      interaction_id=interaction_id,
  )

Observed behavior from worker logs:

  • Interaction is created successfully (gets an interaction_id)

  • Polling loop runs, status never transitions to “completed”

  • Agent model: deep-research-pro-preview-12-2025

  • SDK: google-genai (Python async client via client.aio.interactions)

  • API calls: client.aio.interactions.create() then client.aio.interactions.get() in a loop

    I will dm you the prompt and the run ID.

6

actually I don’t see how to dm you