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WalkthroughA new integration for "Scorecard" was added to the OpenLLMetry documentation and navigation configuration. This includes updating the navigation JSON, inserting a new integration card in the integrations catalog, and introducing a detailed documentation page describing how to integrate Scorecard with OpenLLMetry for LLM observability. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Documentation
participant Scorecard
participant OpenLLMetry
User->>Documentation: Access Scorecard integration guide
User->>Scorecard: Obtain API key
User->>OpenLLMetry: Configure tracing endpoint & auth
User->>OpenLLMetry: Install SDKs & set up code (Python/JS)
OpenLLMetry->>Scorecard: Send LLM trace data
User->>Scorecard: View traces and observability metrics
Estimated code review effort🎯 2 (Simple) | ⏱️ ~6 minutes Poem
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Caution
Changes requested ❌
Reviewed everything up to b4a01c5 in 1 minute and 22 seconds. Click for details.
- Reviewed
147
lines of code in3
files - Skipped
0
files when reviewing. - Skipped posting
5
draft comments. View those below. - Modify your settings and rules to customize what types of comments Ellipsis leaves. And don't forget to react with 👍 or 👎 to teach Ellipsis.
1. mint.json:130
- Draft comment:
Added Scorecard integration entry. Ensure integration ordering remains consistent with existing entries. - Reason this comment was not posted:
Confidence changes required:0%
<= threshold50%
None
2. mint.json:184
- Draft comment:
Consider consistent array formatting; using a multiline array might improve readability. - Reason this comment was not posted:
Confidence changes required:33%
<= threshold50%
None
3. openllmetry/integrations/introduction.mdx:43
- Draft comment:
Scorecard integration card added. Verify its rendering matches other integration cards. - Reason this comment was not posted:
Confidence changes required:0%
<= threshold50%
None
4. openllmetry/integrations/scorecard.mdx:105
- Draft comment:
Add a newline at the end of the file for better POSIX compliance. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 20% vs. threshold = 50% While having a trailing newline is considered good practice and POSIX-compliant, this is a very minor issue. Most modern editors handle this automatically, and it doesn't affect the functionality or readability of the documentation. This feels like the kind of nitpicky comment that adds noise without significant value. The comment is technically correct - POSIX standards do recommend ending files with newlines. This could potentially cause issues with some tools or text processing utilities. While technically correct, this is an extremely minor issue that most modern tools handle gracefully. The comment adds noise without providing significant value to code quality. Delete this comment as it's too minor and doesn't meaningfully improve code quality. Modern tooling typically handles this automatically.
5. openllmetry/integrations/scorecard.mdx:82
- Draft comment:
Typo spotted: The model name "gpt-4o-mini" may contain an extra 'o'. Consider changing it to "gpt-4-mini" if that is the intended model. - Reason this comment was not posted:
Marked as duplicate.
Workflow ID: wflow_5i1ytgiDJyLupzSI
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@workflow(name="simple_chat") | ||
def simple_workflow(): | ||
completion = openai_client.chat.completions.create( | ||
model="gpt-4o-mini", |
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Typo spotted: The model name "gpt-4o-mini" may contain an extra 'o'. Consider changing it to "gpt-4-mini" if that is the intended model.
model="gpt-4o-mini", | |
model="gpt-4-mini", |
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Actionable comments posted: 2
🧹 Nitpick comments (1)
openllmetry/integrations/scorecard.mdx (1)
89-91
: Use JavaScript comment syntax inside JS fences.The lines start with
#
, which is a shell/Python comment and renders red in JS highlighting.-# Run the workflow - all LLM calls will be automatically traced +// Run the workflow – all LLM calls will be automatically traced
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (3)
mint.json
(2 hunks)openllmetry/integrations/introduction.mdx
(1 hunks)openllmetry/integrations/scorecard.mdx
(1 hunks)
🔇 Additional comments (2)
mint.json (1)
131-132
: Navigation entry looks good – verify runtime link resolution.The new
"openllmetry/integrations/scorecard"
item is alphabetically placed and syntactically valid.
Please run the site locally and confirm the sidebar correctly resolves to the new MDX file (broken links silently degrade UX).openllmetry/integrations/introduction.mdx (1)
43-44
: Card addition LGTMThe Scorecard card follows alphabetical order and uses the correct relative path. No further action required.
```sh Python | ||
pip install traceloop-sdk openai | ||
``` | ||
|
||
```sh JavaScript | ||
npm install @traceloop/node-server-sdk openai | ||
``` | ||
</CodeGroup> |
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🛠️ Refactor suggestion
Fix malformed code-fence headers.
```sh Python
/ ```sh JavaScript
are not valid fence identifiers and break syntax highlighting in most Markdown engines.
Replace with standard language tags:
-```sh Python
+```bash
…
-```sh JavaScript
+```bash
If you need a visible label, use the MDX filename="Python"
attribute instead.
🤖 Prompt for AI Agents
In openllmetry/integrations/scorecard.mdx around lines 29 to 36, the code-fence
headers use invalid identifiers like ```sh Python and ```sh JavaScript, which
break syntax highlighting. Replace these with standard language tags such as
```bash for both code blocks. If you want to label the code blocks by language,
use the MDX filename attribute instead of combining multiple identifiers in the
fence header.
// Initialize OpenLLMetry with automatic instrumentation | ||
traceloop.initialize({ | ||
disableBatch: true, // Ensures immediate trace sending | ||
instrumentModules: { openAI: OpenAI }, | ||
}); |
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💡 Verification agent
🧩 Analysis chain
Double-check instrumentModules
key casing.
The Node SDK expects the module map keys to match the tracer names (openAI
vs OpenAI
). Mismatching case silently disables instrumentation.
Run a quick smoke test after building the docs example:
🏁 Script executed:
# Expect traces to be emitted; zero traces means the key is wrong
node simpleWorkflow.js | grep -i traceloop
Length of output: 778
🏁 Script executed:
#!/usr/bin/env bash
set -e
# Locate the example workflow script
SCRIPT=$(find . -type f -name "simpleWorkflow.js" | head -n 1)
if [[ -z "$SCRIPT" ]]; then
echo "Error: simpleWorkflow.js not found in repository"
exit 1
fi
echo "Found example at: $SCRIPT"
echo "Running workflow to verify trace output…"
node "$SCRIPT" | grep -i traceloop || echo "⚠️ No traces emitted – please verify that the key in instrumentModules matches the tracer’s registered name (case-sensitive)."
Length of output: 203
Ensure correct casing in instrumentModules
The module key must exactly match the tracer’s registered name. Update your snippet as follows:
// Initialize OpenLLMetry with automatic instrumentation
traceloop.initialize({
disableBatch: true, // Ensures immediate trace sending
- instrumentModules: { openAI: OpenAI },
+ instrumentModules: { OpenAI: OpenAI },
});
If the key casing doesn’t align, instrumentation will be silently disabled. After making this change, please run your example workflow and confirm that traces are emitted as expected.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
// Initialize OpenLLMetry with automatic instrumentation | |
traceloop.initialize({ | |
disableBatch: true, // Ensures immediate trace sending | |
instrumentModules: { openAI: OpenAI }, | |
}); | |
// Initialize OpenLLMetry with automatic instrumentation | |
traceloop.initialize({ | |
disableBatch: true, // Ensures immediate trace sending | |
instrumentModules: { OpenAI: OpenAI }, | |
}); |
🤖 Prompt for AI Agents
In openllmetry/integrations/scorecard.mdx around lines 73 to 77, the key used in
the instrumentModules object must exactly match the tracer's registered name
with correct casing. Change the key from "openAI" to the exact registered name
with proper casing to ensure instrumentation is enabled. After updating the key,
run the example workflow to verify that traces are emitted correctly.
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Thanks @schiehll!
This PR adds Scorecard as an example to use the OpenLLMetry instrumentation.
Important
Adds Scorecard integration example to OpenLLMetry documentation with setup instructions.
scorecard.mdx
toopenllmetry/integrations/
with setup instructions for integrating Scorecard with OpenLLMetry.introduction.mdx
to include Scorecard in the integrations catalog.mint.json
.This description was created by
for b4a01c5. You can customize this summary. It will automatically update as commits are pushed.
Summary by CodeRabbit
New Features
Documentation