diff --git a/.pr_agent_accepted_suggestions.md b/.pr_agent_accepted_suggestions.md
index d272945..15f9cb5 100644
--- a/.pr_agent_accepted_suggestions.md
+++ b/.pr_agent_accepted_suggestions.md
@@ -54,6 +54,123 @@ ___
+
+
+
+
+
+
+[possible issue] Fix undefined variable reference
+
+___
+
+✅ Fix undefined variable reference
+
+**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.**
+
+[lib/language-inference-engine.js [198-215]](https://github.com/gnh1201/welsonjs/pull/248/files#diff-2ab61534138b13248e897d3b1aac2dbe3d8bd44ade898729c432d822f1623a58R198-R215)
+
+```diff
+ "wrap": function(model, message, temperature) {
++ const BIAS_MESSAGE = "Please provide a helpful response."; // Define BIAS_MESSAGE or import it from elsewhere
+ return {
+ "contents": [{
+ "role": "user", // Changed "developer" to "user" for the initial prompt. The overall prompt is still intended to guide the model, so this is reasonable.
+ "parts": [{
+ "text": BIAS_MESSAGE
+ }]
+ }, {
+ "role": "user",
+ "parts": [{
+ "text": message
+ }]
+ }],
+ "generationConfig": {
+ "temperature": temperature
+ }
+ };
+ },
+```
+
+
+
+Suggestion importance[1-10]: 9
+
+__
+
+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.
+
+___
+
+[possible issue] Add missing model selection
+
+___
+
+✅ Add missing model selection
+
+**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.**
+
+[examples/honoai_gemini.ai.js [8-11]](https://github.com/gnh1201/welsonjs/pull/248/files#diff-e12676a9b01e80d4fffafc7fd625d5b90e63c80a18195cf82e69ae343027e49eR8-R11)
+
+```diff
+ var res = LIE.create()
+ .setProvider(provider)
++ .setModel("gemini-1.5-flash")
+ .inference(text, 0)
+ .join(' ')
+```
+
+
+
+Suggestion importance[1-10]: 8
+
+__
+
+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.
+
+___
+
+[possible issue] Add type check before parsing
+
+___
+
+✅ Add type check before parsing
+
+**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.**
+
+[lib/language-inference-engine.js [217]](https://github.com/gnh1201/welsonjs/pull/248/files#diff-2ab61534138b13248e897d3b1aac2dbe3d8bd44ade898729c432d822f1623a58R217-R217)
+
+```diff
+-response = JSON.parse(response)
++response = typeof response === 'string' ? JSON.parse(response) : response;
+```
+
+
+
+Suggestion importance[1-10]: 7
+
+__
+
+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.
+
+___
+
+