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, 03:30 UTC
[Doc] Fix internal links so they don't always point to latest (#20563)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Harry Mellor committed
Jul 7, 2025 at 12:15 UTC
923147b5e8551887fd64a0fc242c361d5216e1d7
1 file changed
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docs/features/structured_outputs.md
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@@ -157,7 +157,7 @@ As an example, we can use to define a specific format of simplified SQL queries:
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print(completion.choices[0].message.content)
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```
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-See also: [full example](https://docs.vllm.ai/en/latest/examples/online_serving/structured_outputs.html)
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+See also: [full example](../examples/online_serving/structured_outputs.md)
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## Reasoning Outputs
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@@ -200,7 +200,7 @@ Note that you can use reasoning with any provided structured outputs feature. Th
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print("content: ", completion.choices[0].message.content)
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```
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-See also: [full example](https://docs.vllm.ai/en/latest/examples/online_serving/structured_outputs.html)
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+See also: [full example](../examples/online_serving/structured_outputs.md)
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## Experimental Automatic Parsing (OpenAI API)
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@@ -325,4 +325,4 @@ shown below:
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print(outputs[0].outputs[0].text)
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```
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-See also: [full example](https://docs.vllm.ai/en/latest/examples/online_serving/structured_outputs.html)
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+See also: [full example](../examples/online_serving/structured_outputs.md)