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WalkthroughA new documentation page is added describing how to enable and operate speculative decoding for vLLM-backed KServe InferenceService. It covers supported methods (N-gram and EAGLE-3), configuration, benchmarks, YAML examples, verification steps, and troubleshooting. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~18 minutes Poem
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Actionable comments posted: 1
🧹 Nitpick comments (1)
docs/en/model_inference/inference_service/how_to/vllm_speculative_decoding.mdx (1)
338-338: Add explanation or concrete examples for the{{.Name}}and{{.Namespace}}template variables.The
--served-model-name {{.Name}} {{.Namespace}}/{{.Name}}pattern on lines 338 and 403 (and the same pattern acrossvllm_expert_parallel.mdxandcreate_inference_service_cli.mdx) relies on Alauda AI's runtime template engine to substitute these Go template placeholders at deploy time. Without inline documentation or a link to how the platform processes these variables, readers copying the manifest will not understand that{{Name}}and{{.Namespace}}are placeholders, not literal model names.Either:
- (a) Add a brief note near the first example clarifying that
{{.Name}}and{{.Namespace}}tokens are resolved by the Alauda AI runtime template engine at deployment, with a link to the runtime template documentation, or- (b) Show the snippet with concrete example values and document the templating variant separately.
This would match how other inference-service guides in the repository document templated fields.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/en/model_inference/inference_service/how_to/vllm_speculative_decoding.mdx` at line 338, The doc uses the Go template placeholders {{.Name}} and {{.Namespace}} in the --served-model-name flag (seen in the string pattern "--served-model-name {{.Name}} {{.Namespace}}/{{.Name}}") but doesn't explain they are runtime template tokens; update the first occurrence to either (a) add a brief inline note stating that {{.Name}} and {{.Namespace}} are resolved by Alauda AI's runtime template engine at deployment and add a link to the runtime template documentation, or (b) replace the example with concrete values (e.g., my-model my-namespace/my-model) and then add a short separate note showing the templated variant using {{.Name}} and {{.Namespace}}; ensure you update the other occurrences (same pattern in vllm_expert_parallel.mdx and create_inference_service_cli.mdx) for consistency.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In
`@docs/en/model_inference/inference_service/how_to/vllm_speculative_decoding.mdx`:
- Line 241: Replace incorrect version references that claim storageUris is
available in "KServe 0.17" with the correct minimum version "KServe 0.16" in the
document
docs/en/model_inference/inference_service/how_to/vllm_speculative_decoding.mdx
by updating all occurrences of the string "KServe 0.17" (and variants like
"KServe ≥ 0.17" and "available from KServe 0.17") to "KServe 0.16" so the four
noted locations (the sentence containing "storageUris is a KServe field...", the
phrase "KServe ≥ 0.17", and the two later mentions around lines ~606 and ~623)
correctly reflect that storageUris was introduced in v0.16.0.
---
Nitpick comments:
In
`@docs/en/model_inference/inference_service/how_to/vllm_speculative_decoding.mdx`:
- Line 338: The doc uses the Go template placeholders {{.Name}} and
{{.Namespace}} in the --served-model-name flag (seen in the string pattern
"--served-model-name {{.Name}} {{.Namespace}}/{{.Name}}") but doesn't explain
they are runtime template tokens; update the first occurrence to either (a) add
a brief inline note stating that {{.Name}} and {{.Namespace}} are resolved by
Alauda AI's runtime template engine at deployment and add a link to the runtime
template documentation, or (b) replace the example with concrete values (e.g.,
my-model my-namespace/my-model) and then add a short separate note showing the
templated variant using {{.Name}} and {{.Namespace}}; ensure you update the
other occurrences (same pattern in vllm_expert_parallel.mdx and
create_inference_service_cli.mdx) for consistency.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (1)
docs/en/model_inference/inference_service/how_to/vllm_speculative_decoding.mdx
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