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env var controlled #1532

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@ishandhanani ishandhanani commented Jun 15, 2025

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  • closes GitHub issue: #xxx

Summary by CodeRabbit

  • New Features
    • Added a runtime option to include or exclude LLM metric annotation events in the SSE response stream, controlled by an environment variable.

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coderabbitai bot commented Jun 15, 2025

Walkthrough

This change updates the filtering logic for LLM metric annotation events in the SSE response stream. Now, whether these events are included or excluded depends on the presence of the DYN_RICH_EVENT_STREAM environment variable, introducing a runtime flag to control their visibility.

Changes

File(s) Change Summary
lib/llm/src/http/service/openai.rs Modified SSE response stream logic to conditionally filter LLM metric annotation events based on the DYN_RICH_EVENT_STREAM environment variable.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant SSE_Handler
    participant Env

    Client->>SSE_Handler: Request SSE stream
    SSE_Handler->>Env: Check DYN_RICH_EVENT_STREAM
    alt Env var is set
        SSE_Handler-->>Client: Include LLM metric annotation events
    else Env var is not set
        SSE_Handler-->>Client: Exclude LLM metric annotation events
    end
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Possibly related PRs

Poem

A toggle in code, a flag in the breeze,
Now metric events may come or may cease.
If the env var is set, let the data flow free—
Otherwise, hidden, as quiet as can be.
🐰✨

Code hops ahead, with options anew,
SSE streams tailored just for you!


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Actionable comments posted: 1

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 13a99b7 and 1e110af.

📒 Files selected for processing (1)
  • lib/llm/src/http/service/openai.rs (1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (4)
  • GitHub Check: pre-merge-rust (lib/bindings/python)
  • GitHub Check: pre-merge-rust (lib/runtime/examples)
  • GitHub Check: pre-merge-rust (.)
  • GitHub Check: Build and Test - vllm

Comment on lines +509 to +512
// Only filter out metrics if DYN_RICH_EVENT_STREAM is not set
if std::env::var("DYN_RICH_EVENT_STREAM").is_err()
&& annotated.event.as_deref() == Some(crate::preprocessor::ANNOTATION_LLM_METRICS)
{
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🛠️ Refactor suggestion

Repeated env-var look-up & unclear semantics – cache once and parse a boolean

std::env::var("DYN_RICH_EVENT_STREAM") is executed for every single SSE chunk.
Although an env fetch is cheap, the lock and Unicode conversion still add avoidable overhead on high-QPS streams.
More importantly, the logic treats the variable as a mere presence flag: any value (even "0" or "false") enables rich events. That is surprising for operators who may try to disable it with "0".

Proposed refactor:

-        // Only filter out metrics if DYN_RICH_EVENT_STREAM is not set
-        if std::env::var("DYN_RICH_EVENT_STREAM").is_err()
+        // Only filter out metrics when the feature flag is disabled
+        static ENABLE_RICH_STREAM: once_cell::sync::Lazy<bool> =
+            once_cell::sync::Lazy::new(|| {
+                matches!(
+                    std::env::var("DYN_RICH_EVENT_STREAM")
+                        .ok()
+                        .as_deref()
+                        .map(str::to_ascii_lowercase)
+                        .as_deref(),
+                    Some("1" | "true" | "yes")
+                )
+            });
+
+        if !*ENABLE_RICH_STREAM
             && annotated.event.as_deref() == Some(crate::preprocessor::ANNOTATION_LLM_METRICS)
         {

Benefits
• Caches the flag once (no per-event cost).
• Allows intuitive "true"/"false" values.
• Keeps default behaviour unchanged (unset ⇒ metrics filtered out).

Committable suggestion skipped: line range outside the PR's diff.

🤖 Prompt for AI Agents
In lib/llm/src/http/service/openai.rs around lines 509 to 512, the environment
variable DYN_RICH_EVENT_STREAM is queried repeatedly for every SSE chunk and
treated as a presence flag, which causes unnecessary overhead and unclear
semantics. Fix this by reading and parsing the environment variable once at
initialization into a boolean flag that interprets "true"/"false" strings
correctly, then use this cached boolean in the conditional to decide whether to
filter metrics, preserving the default behavior when the variable is unset.

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