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[rollout] feat: support async mode for multimodal data inference #3702

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Merged
merged 3 commits into from
Oct 9, 2025
Merged

[rollout] feat: support async mode for multimodal data inference #3702

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7c064a3
Support async mode for multimodal data inference
xichengpro Oct 9, 2025
b220cb7
fix: safely access image_data to avoid None/KeyError
xichengpro Oct 9, 2025
dd53c52
add multi_modal_data to AgentLoopOutput
xichengpro Oct 9, 2025
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5 changes: 3 additions & 2 deletions verl/experimental/agent_loop/single_turn_agent_loop.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,7 @@ def __init__(self, *args, **kwargs):

async def run(self, sampling_params: dict[str, Any], **kwargs) -> AgentLoopOutput:
messages = list(kwargs["raw_prompt"])
image_data = (kwargs.get("multi_modal_data") or {}).get("image", None)

metrics = {}
request_id = uuid4().hex
Expand All @@ -47,7 +48,7 @@ async def run(self, sampling_params: dict[str, Any], **kwargs) -> AgentLoopOutpu

with simple_timer("generate_sequences", metrics):
output = await self.server_manager.generate(
request_id=request_id, prompt_ids=prompt_ids, sampling_params=sampling_params
request_id=request_id, prompt_ids=prompt_ids, sampling_params=sampling_params, image_data=image_data
)
response_mask = [1] * len(output.token_ids)

Expand All @@ -56,7 +57,7 @@ async def run(self, sampling_params: dict[str, Any], **kwargs) -> AgentLoopOutpu
response_ids=output.token_ids[: self.response_length],
response_mask=response_mask[: self.response_length],
response_logprobs=output.log_probs[: self.response_length] if output.log_probs else None,
multi_modal_data={},
multi_modal_data={"image": image_data} if image_data is not None else {},
num_turns=2,
metrics=metrics,
)
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