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(bugfix): Fixed encode in LLM entrypoint for IOProcessr plugin prompts #34618

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Merged
vllm-bot merged 1 commit into from
Feb 16, 2026
Merged

(bugfix): Fixed encode in LLM entrypoint for IOProcessr plugin prompts #34618

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6 changes: 4 additions & 2 deletions examples/pooling/plugin/prithvi_geospatial_mae_io_processor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,13 +20,15 @@ def main():
torch.set_default_dtype(torch.float16)
image_url = "https://huggingface.co/christian-pinto/Prithvi-EO-2.0-300M-TL-VLLM/resolve/main/valencia_example_2024-10-26.tiff" # noqa: E501

img_prompt = dict(
img_data = dict(
data=image_url,
data_format="url",
image_format="tiff",
out_data_format="b64_json",
)

prompt = dict(data=img_data)

llm = LLM(
model="ibm-nasa-geospatial/Prithvi-EO-2.0-300M-TL-Sen1Floods11",
skip_tokenizer_init=True,
Expand All @@ -41,7 +43,7 @@ def main():
enable_mm_embeds=True,
)

pooler_output = llm.encode(img_prompt, pooling_task="plugin")
pooler_output = llm.encode(prompt, pooling_task="plugin")
output = pooler_output[0].outputs

print(output)
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6 changes: 4 additions & 2 deletions tests/plugins_tests/test_io_processor_plugins.py
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Original file line number Diff line number Diff line change
Expand Up @@ -120,13 +120,15 @@ async def test_prithvi_mae_plugin_online(
def test_prithvi_mae_plugin_offline(
vllm_runner, model_name: str, image_url: str | dict, plugin: str, expected_hash: str
):
img_prompt = dict(
img_data = dict(
data=image_url,
data_format="url",
image_format="tiff",
out_data_format="b64_json",
)

prompt = dict(data=img_data)

with vllm_runner(
model_name,
runner="pooling",
Expand All @@ -139,7 +141,7 @@ def test_prithvi_mae_plugin_offline(
io_processor_plugin=plugin,
default_torch_num_threads=1,
) as llm_runner:
pooler_output = llm_runner.get_llm().encode(img_prompt, pooling_task="plugin")
pooler_output = llm_runner.get_llm().encode(prompt, pooling_task="plugin")
output = pooler_output[0].outputs

# verify the output is formatted as expected for this plugin
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10 changes: 9 additions & 1 deletion vllm/entrypoints/llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1135,7 +1135,15 @@ def encode(
)

# Validate the request data is valid for the loaded plugin
validated_prompt = self.io_processor.parse_data(prompts)
prompt_data = prompts.get("data")
if prompt_data is None:
raise ValueError(
"The 'data' field of the prompt is expected to contain "
"the prompt data and it cannot be None. "
"Refer to the documentation of the IOProcessor "
"in use for more details."
)
validated_prompt = self.io_processor.parse_data(prompt_data)

# obtain the actual model prompts from the pre-processor
prompts = self.io_processor.pre_process(prompt=validated_prompt)
Expand Down