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updated pr-agent best practices with auto analysis
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@ -54,6 +54,123 @@ ___
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<!-- PR --><table><tr><td> <b><a href='2868568893'>PR 248</a></b> (2025-05-10)
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</td></tr></table>
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<!-- suggestion --><details><summary>[possible issue] Fix undefined variable reference</summary>
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___
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✅ Fix undefined variable reference
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**The code references BIAS_MESSAGE which appears to be undefined in the provided code. This will cause a reference error when the function is called. Either define this variable or replace it with the actual bias message text.**
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[lib/language-inference-engine.js [198-215]](https://github.com/gnh1201/welsonjs/pull/248/files#diff-2ab61534138b13248e897d3b1aac2dbe3d8bd44ade898729c432d822f1623a58R198-R215)
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```diff
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"wrap": function(model, message, temperature) {
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+ const BIAS_MESSAGE = "Please provide a helpful response."; // Define BIAS_MESSAGE or import it from elsewhere
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return {
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"contents": [{
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"role": "user", // Changed "developer" to "user" for the initial prompt. The overall prompt is still intended to guide the model, so this is reasonable.
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"parts": [{
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"text": BIAS_MESSAGE
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}]
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}, {
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"role": "user",
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"parts": [{
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"text": message
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}]
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}],
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"generationConfig": {
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"temperature": temperature
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}
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};
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},
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```
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Suggestion importance[1-10]: 9
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__
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Why: The code references `BIAS_MESSAGE` which is undefined in the provided code snippet. This would cause a runtime error when the function is executed, completely breaking the Gemini provider functionality.
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___
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</details>
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<!-- suggestion --><details><summary>[possible issue] Add missing model selection</summary>
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___
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✅ Add missing model selection
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**The code doesn't set a model for the Gemini provider before calling inference. This will likely cause the API call to fail as the model is required in the URL. Add a call to .setModel() with one of the available Gemini models.**
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[examples/honoai_gemini.ai.js [8-11]](https://github.com/gnh1201/welsonjs/pull/248/files#diff-e12676a9b01e80d4fffafc7fd625d5b90e63c80a18195cf82e69ae343027e49eR8-R11)
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```diff
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var res = LIE.create()
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.setProvider(provider)
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+ .setModel("gemini-1.5-flash")
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.inference(text, 0)
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.join(' ')
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```
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Suggestion importance[1-10]: 8
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__
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Why: The example code doesn't set a model for the Gemini provider, which is required for the API call to work properly as seen in the URL construction. Without setting a model, the inference would fail.
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___
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</details>
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<!-- suggestion --><details><summary>[possible issue] Add type check before parsing</summary>
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___
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✅ Add type check before parsing
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**The code assumes the response is always a string that needs parsing, but HTTP responses might already be parsed objects. This could cause errors if the response is already a JSON object. Add a type check before parsing.**
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[lib/language-inference-engine.js [217]](https://github.com/gnh1201/welsonjs/pull/248/files#diff-2ab61534138b13248e897d3b1aac2dbe3d8bd44ade898729c432d822f1623a58R217-R217)
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```diff
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-response = JSON.parse(response)
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+response = typeof response === 'string' ? JSON.parse(response) : response;
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```
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Suggestion importance[1-10]: 7
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__
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Why: The code assumes `response` is always a string that needs parsing, which could cause errors if it's already a JSON object. Adding a type check improves robustness and prevents potential runtime errors.
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___
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</details>
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___
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<!-- PR --><table><tr><td> <b><a href='2850302530'>PR 245</a></b> (2025-05-05)
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</td></tr></table>
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@ -136,6 +253,8 @@ ___
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<!-- PR --><table><tr><td> <b><a href='2832883684'>PR 242</a></b> (2025-04-27)
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</td></tr></table>
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