[Frontend][last/5] Make pooling entrypoints request schema consensus. (#31127)
Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io>
This commit is contained in:
@@ -311,7 +311,7 @@ and passing a list of `messages` in the request. Refer to the examples below for
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vllm serve TIGER-Lab/VLM2Vec-Full --runner pooling \
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--trust-remote-code \
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--max-model-len 4096 \
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--chat-template examples/template_vlm2vec_phi3v.jinja
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--chat-template examples/pooling/embed/template/vlm2vec_phi3v.jinja
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```
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!!! important
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@@ -319,7 +319,7 @@ and passing a list of `messages` in the request. Refer to the examples below for
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to run this model in embedding mode instead of text generation mode.
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The custom chat template is completely different from the original one for this model,
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and can be found here: [examples/template_vlm2vec_phi3v.jinja](../../examples/template_vlm2vec_phi3v.jinja)
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and can be found here: [examples/pooling/embed/template/vlm2vec_phi3v.jinja](../../examples/pooling/embed/template/vlm2vec_phi3v.jinja)
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Since the request schema is not defined by OpenAI client, we post a request to the server using the lower-level `requests` library:
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@@ -359,14 +359,14 @@ and passing a list of `messages` in the request. Refer to the examples below for
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vllm serve MrLight/dse-qwen2-2b-mrl-v1 --runner pooling \
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--trust-remote-code \
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--max-model-len 8192 \
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--chat-template examples/template_dse_qwen2_vl.jinja
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--chat-template examples/pooling/embed/template/dse_qwen2_vl.jinja
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```
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!!! important
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Like with VLM2Vec, we have to explicitly pass `--runner pooling`.
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Additionally, `MrLight/dse-qwen2-2b-mrl-v1` requires an EOS token for embeddings, which is handled
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by a custom chat template: [examples/template_dse_qwen2_vl.jinja](../../examples/template_dse_qwen2_vl.jinja)
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by a custom chat template: [examples/pooling/embed/template/dse_qwen2_vl.jinja](../../examples/pooling/embed/template/dse_qwen2_vl.jinja)
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!!! important
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`MrLight/dse-qwen2-2b-mrl-v1` requires a placeholder image of the minimum image size for text query embeddings. See the full code
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@@ -532,7 +532,7 @@ The following [sampling parameters](../api/README.md#inference-parameters) are s
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??? code
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```python
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--8<-- "vllm/entrypoints/openai/protocol.py:transcription-sampling-params"
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--8<-- "vllm/entrypoints/openai/speech_to_text/protocol.py:transcription-sampling-params"
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```
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The following extra parameters are supported:
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@@ -540,7 +540,7 @@ The following extra parameters are supported:
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??? code
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```python
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--8<-- "vllm/entrypoints/openai/protocol.py:transcription-extra-params"
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--8<-- "vllm/entrypoints/openai/speech_to_text/protocol.py:transcription-extra-params"
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```
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### Translations API
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@@ -560,13 +560,13 @@ Code example: [examples/online_serving/openai_translation_client.py](../../examp
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The following [sampling parameters](../api/README.md#inference-parameters) are supported.
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```python
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--8<-- "vllm/entrypoints/openai/protocol.py:translation-sampling-params"
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--8<-- "vllm/entrypoints/openai/speech_to_text/protocol.py:translation-sampling-params"
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```
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The following extra parameters are supported:
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```python
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--8<-- "vllm/entrypoints/openai/protocol.py:translation-extra-params"
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--8<-- "vllm/entrypoints/openai/speech_to_text/protocol.py:translation-extra-params"
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```
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### Realtime API
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@@ -954,28 +954,34 @@ You can pass multi-modal inputs to scoring models by passing `content` including
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```python
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import requests
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response = requests.post(
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"http://localhost:8000/v1/score",
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json={
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"model": "jinaai/jina-reranker-m0",
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"queries": "slm markdown",
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"documents": {
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/jina-ai/multimodal-reranker-test/main/handelsblatt-preview.png"
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},
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},
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/jina-ai/multimodal-reranker-test/main/paper-11.png"
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},
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},
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],
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},
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"documents": [
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{
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/jina-ai/multimodal-reranker-test/main/handelsblatt-preview.png"
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},
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}
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],
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},
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{
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/jina-ai/multimodal-reranker-test/main/handelsblatt-preview.png"
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},
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}
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]
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},
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],
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},
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)
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response.raise_for_status()
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@@ -1001,7 +1007,6 @@ The following Score API parameters are supported:
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```python
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--8<-- "vllm/entrypoints/pooling/base/protocol.py:pooling-common-params"
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--8<-- "vllm/entrypoints/pooling/score/protocol.py:score-extra-params"
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```
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The following extra parameters are supported:
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@@ -1009,7 +1014,6 @@ The following extra parameters are supported:
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```python
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--8<-- "vllm/entrypoints/pooling/base/protocol.py:pooling-common-extra-params"
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--8<-- "vllm/entrypoints/pooling/base/protocol.py:classify-extra-params"
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--8<-- "vllm/entrypoints/pooling/score/protocol.py:score-extra-params"
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```
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### Re-rank API
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@@ -1092,7 +1096,6 @@ The following Re-rank API parameters are supported:
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```python
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--8<-- "vllm/entrypoints/pooling/base/protocol.py:pooling-common-params"
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--8<-- "vllm/entrypoints/pooling/base/protocol.py:classify-extra-params"
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--8<-- "vllm/entrypoints/pooling/score/protocol.py:score-extra-params"
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```
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The following extra parameters are supported:
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@@ -1100,7 +1103,6 @@ The following extra parameters are supported:
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```python
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--8<-- "vllm/entrypoints/pooling/base/protocol.py:pooling-common-extra-params"
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--8<-- "vllm/entrypoints/pooling/base/protocol.py:classify-extra-params"
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--8<-- "vllm/entrypoints/pooling/score/protocol.py:rerank-extra-params"
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```
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## Ray Serve LLM
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