A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 06:00 UTC
[Doc] uses absolute links for structured outputs (#19582)
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Aaron Pham committed
Jun 12, 2025 at 23:35 UTC
7b3c9ff91da08d8bf94db6e42cd37987316d708b
2 files changed
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docs/features/structured_outputs.md
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@@ -149,7 +149,7 @@ completion = client.chat.completions.create(
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print(completion.choices[0].message.content)
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```
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-See also: [full example](../../examples/online_serving/structured_outputs)
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+See also: [full example](https://docs.vllm.ai/en/latest/examples/online_serving/structured_outputs.html)
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## Reasoning Outputs
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@@ -190,7 +190,7 @@ print("reasoning_content: ", completion.choices[0].message.reasoning_content)
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print("content: ", completion.choices[0].message.content)
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```
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-See also: [full example](../../examples/online_serving/structured_outputs)
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+See also: [full example](https://docs.vllm.ai/en/latest/examples/online_serving/structured_outputs.html)
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## Experimental Automatic Parsing (OpenAI API)
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@@ -311,4 +311,4 @@ outputs = llm.generate(
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print(outputs[0].outputs[0].text)
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```
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-See also: [full example](../../examples/online_serving/structured_outputs)
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+See also: [full example](https://docs.vllm.ai/en/latest/examples/online_serving/structured_outputs.html)
examples/online_serving/structured_outputs/README.md
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@@ -22,7 +22,7 @@ If you want to run this script standalone with `uv`, you can use the following:
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uvx --from git+https://github.com/vllm-project/vllm#subdirectory=examples/online_serving/structured_outputs structured-output
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```
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-See [feature docs](../../../features/structured_outputs.md) for more information.
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+See [feature docs](https://docs.vllm.ai/en/latest/features/structured_outputs.html) for more information.
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!!! tip
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If vLLM is running remotely, then set `OPENAI_BASE_URL=<remote_url>` before running the script.