Refactor Model Selection Logic #425
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Refactors the `getModel` function in `lib/utils/index.ts` to use a configuration map for model initializers. This change improves the clarity and maintainability of the code, and it fixes a bug where the user's selected model was not being used correctly. The new implementation prioritizes the user's selected model and includes robust error handling with a graceful fallback to a default provider chain if the selected model fails to initialize (e.g., due to a missing API key). This ensures the application remains functional while respecting the user's choice whenever possible. Additionally, this change adds support for the "QCX-Terra" model, which uses the Amazon Bedrock provider, and includes the necessary environment variables in the `.env.local.example` file.
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@coderabbitai 19:04:13.703 Running build in Portland, USA (West) – pdx1 |
Refactors the `getModel` function in `lib/utils/index.ts` to use a configuration map for model initializers. This change improves the clarity and maintainability of the code, and it fixes a bug where the user's selected model was not being used correctly. The new implementation prioritizes the user's selected model and includes robust error handling with a graceful fallback to a default provider chain if the selected model fails to initialize (e.g., due to a missing API key). This ensures the application remains functional while respecting the user's choice whenever possible. Additionally, this change adds support for the "QCX-Terra" model, which uses the Amazon Bedrock provider, and includes the necessary environment variables in the `.env.local.example` file. A TypeScript error in the build process was also fixed by using a type guard to ensure the selected model is a valid key of the model initializers object.
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There was a problem hiding this comment.
getModel(requireVision)now ignoresrequireVision, which is a behavior/compatibility bug for callers expecting vision-aware selection.- Bedrock initialization should validate
AWS_REGION(and optionallyBEDROCK_MODEL_ID) to fail fast and predictably. - Logging is very chatty and may leak user preference info; consider gating behind a debug flag/levels.
- Minor readability inconsistencies in fallback-chain enablement and messaging can be tightened.
Additional notes (3)
- Security |
lib/utils/index.ts:21-23
getModel()logs the user-selected model value. Depending on howgetSelectedModel()is sourced (e.g., user profile/preferences), this may leak user preferences into server logs and increase noise in production.
Given this is likely called frequently, these console.log() statements can be quite chatty.
- Readability |
lib/utils/index.ts:74-79
The fallback chain checksprovider.keytruthiness, but for Bedrock you pass a boolean expression (awsAccessKeyId && awsSecretAccessKey) whereas other providers use the actual key string. This works, but it’s inconsistent and makes the intent less clear.
It also subtly duplicates validation: the Bedrock initializer throws for missing creds anyway. Prefer a consistent enabled boolean per provider.
- Readability |
lib/utils/index.ts:72-74
The comment says:No valid model selected...but the same path is also taken when a valid model was selected and initialization failed. That makes debugging misleading because the log doesn't reflect the actual situation.
This is especially relevant since you already log a failure for the selected model; the next log should indicate you're falling back due to failure (vs. no selection).
Summary of changes
What changed
lib/utils/index.ts
- Refactored
getModel()to use amodelInitializersmap instead of aswitch/nestedifblocks. - Added explicit support for Amazon Bedrock via a new model key:
"QCX-Terra". - Implemented user-selection priority: tries the selected model first, then falls back to a default provider chain.
- Added more structured logging around selection, initialization attempts, and fallback behavior.
- Updated the default Bedrock model ID to
anthropic.claude-3-5-sonnet-20240620-v1:0.
.env.local.example
- Added AWS/Bedrock environment variables:
AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY,AWS_REGION,BEDROCK_MODEL_ID.
| export async function getModel(requireVision: boolean = false) { | ||
| const selectedModel = await getSelectedModel(); |
There was a problem hiding this comment.
requireVision is still accepted by getModel() but is never used in the new selection logic. That’s a behavior smell: callers may set requireVision=true expecting vision-capable models, but the function now ignores it entirely and may return a non-vision model.
If requireVision is not supported anymore, remove it (and update call sites). If it is supported, the model map should encode capabilities and the selection/fallback chain should filter accordingly.
Suggestion
Model the capability in the initializer config and filter by it, e.g.
const modelConfigs = {
'QCX-Terra': { vision: false, init: () => /*...*/ },
'GPT-5.1': { vision: true, init: () => /*...*/ },
// ...
} as const;
const isEligible = (k: keyof typeof modelConfigs) =>
!requireVision || modelConfigs[k].vision;Then apply isEligible(...) both for the selected model and the fallback chain.
Reply with "@CharlieHelps yes please" if you'd like me to add a commit with this suggestion.
| 'QCX-Terra': () => { | ||
| if (!awsAccessKeyId || !awsSecretAccessKey) { | ||
| throw new Error('AWS credentials for QCX-Terra are not configured.'); | ||
| } | ||
| const bedrock = createAmazonBedrock({ | ||
| bedrockOptions: { | ||
| region: awsRegion, | ||
| credentials: { accessKeyId: awsAccessKeyId, secretAccessKey: awsSecretAccessKey }, | ||
| }, | ||
| }); | ||
| return bedrock(bedrockModelId, { additionalModelRequestFields: { top_k: 250 } }); | ||
| }, |
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AWS_REGION is read but not validated before being passed into createAmazonBedrock({ bedrockOptions: { region: awsRegion, ... }}). If AWS_REGION is missing, this may fail in a less obvious way or defer failure to later runtime.
Also, QCX-Terra checks only access key + secret; it should include region (and potentially BEDROCK_MODEL_ID if you want to require explicit selection).
Suggestion
Harden the Bedrock initializer to validate the full required configuration:
if (!awsAccessKeyId || !awsSecretAccessKey || !awsRegion) {
throw new Error('AWS credentials/region for QCX-Terra are not configured.');
}Optionally validate bedrockModelId if you intend it to be user-configured rather than defaulted.
Reply with "@CharlieHelps yes please" if you'd like me to add a commit with this suggestion.
| const bedrockModelId = process.env.BEDROCK_MODEL_ID || 'anthropic.claude-3-5-sonnet-20240620-v1:0'; | ||
| const openaiApiKey = process.env.OPENAI_API_KEY; | ||
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| if (selectedModel) { | ||
| switch (selectedModel) { | ||
| case 'Grok 4.2': | ||
| if (xaiApiKey) { | ||
| const xai = createXai({ | ||
| apiKey: xaiApiKey, | ||
| baseURL: 'https://api.x.ai/v1', | ||
| }); | ||
| try { | ||
| return xai('grok-4-fast-non-reasoning'); | ||
| } catch (error) { | ||
| console.error('Selected model "Grok 4.2" is configured but failed to initialize.', error); | ||
| throw new Error('Failed to initialize selected model.'); | ||
| } | ||
| } else { | ||
| console.error('User selected "Grok 4.2" but XAI_API_KEY is not set.'); | ||
| throw new Error('Selected model is not configured.'); | ||
| } | ||
| case 'Gemini 3': | ||
| if (gemini3ProApiKey) { | ||
| const google = createGoogleGenerativeAI({ | ||
| apiKey: gemini3ProApiKey, | ||
| }); | ||
| try { | ||
| return google('gemini-3-pro-preview'); | ||
| } catch (error) { | ||
| console.error('Selected model "Gemini 3" is configured but failed to initialize.', error); | ||
| throw new Error('Failed to initialize selected model.'); | ||
| } | ||
| } else { | ||
| console.error('User selected "Gemini 3" but GEMINI_3_PRO_API_KEY is not set.'); | ||
| throw new Error('Selected model is not configured.'); | ||
| } | ||
| case 'GPT-5.1': | ||
| if (openaiApiKey) { | ||
| const openai = createOpenAI({ | ||
| apiKey: openaiApiKey, | ||
| }); | ||
| return openai('gpt-4o'); | ||
| } else { | ||
| console.error('User selected "GPT-5.1" but OPENAI_API_KEY is not set.'); | ||
| throw new Error('Selected model is not configured.'); | ||
| } | ||
| } | ||
| } | ||
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| // Default behavior: Grok -> Gemini -> Bedrock -> OpenAI | ||
| if (xaiApiKey) { | ||
| const xai = createXai({ | ||
| apiKey: xaiApiKey, | ||
| baseURL: 'https://api.x.ai/v1', | ||
| }); | ||
| try { | ||
| const modelInitializers = { | ||
| 'QCX-Terra': () => { | ||
| if (!awsAccessKeyId || !awsSecretAccessKey) { | ||
| throw new Error('AWS credentials for QCX-Terra are not configured.'); | ||
| } | ||
| const bedrock = createAmazonBedrock({ | ||
| bedrockOptions: { | ||
| region: awsRegion, | ||
| credentials: { accessKeyId: awsAccessKeyId, secretAccessKey: awsSecretAccessKey }, | ||
| }, | ||
| }); | ||
| return bedrock(bedrockModelId, { additionalModelRequestFields: { top_k: 250 } }); | ||
| }, |
There was a problem hiding this comment.
The Bedrock defaults/parameters changed (BEDROCK_MODEL_ID default and top_k: 250). That’s a behavior change that could materially affect output quality/cost/latency. The code doesn’t explain why these specific values are chosen, and it’s not obvious they’re safe defaults.
Suggestion
At minimum, document these defaults with a brief rationale and consider moving them to config/constants so they’re easier to tune and test. If top_k is model-specific, gate it by model ID.
const DEFAULT_BEDROCK_MODEL_ID = process.env.BEDROCK_MODEL_ID ?? '...';
const BEDROCK_TOP_K = Number(process.env.BEDROCK_TOP_K ?? 250);Reply with "@CharlieHelps yes please" if you want me to add a commit that centralizes these defaults and documents them.
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@coderabbitai cannot switch to gemini |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 3884 🏁 Script executed: Length of output: 3623 @ngoiyaeric Good news! The TypeScript error that was blocking your deployment has already been fixed in the latest commit (5c4f50b). The IssueThe failed build (commit b72c0f6) had a TypeScript error because it was trying to access The FixThe current code (commit 5c4f50b) correctly handles this with: if (selectedModel && selectedModel in modelInitializers) {
try {
console.log(`[getModel] Initializing user-selected model: ${selectedModel}`);
return modelInitializers[selectedModel as keyof typeof modelInitializers]();
} catch (error) {
// ...
}
}This uses the Next StepsYou need to trigger a new deployment with the latest commit. You can:
Once the deployment succeeds with commit 5c4f50b, you should be able to switch to Gemini without any issues (assuming the |
I have addressed the build failure. The TypeScript error was caused by an unsafe object access, which I've fixed by using the |
I have refactored the model selection logic. The previous implementation had a flaw that caused it to ignore the user's selection under certain conditions. The new logic correctly prioritizes the selected model, which should resolve the issue with switching to Gemini and other models. |
Refactors the `getModel` function in `lib/utils/index.ts` to use a configuration map for model initializers. This change improves the clarity and maintainability of the code, and it fixes a bug where the user's selected model was not being used correctly. The new implementation prioritizes the user's selected model and includes robust error handling with a graceful fallback to a default provider chain if the selected model fails to initialize (e.g., due to a missing API key). This ensures the application remains functional while respecting the user's choice whenever possible. Additionally, this change adds support for the "QCX-Terra" model, which uses the Amazon Bedrock provider, and includes the necessary environment variables in the `.env.local.example` file. A TypeScript error in the build process was also fixed by using a type guard to ensure the selected model is a valid key of the model initializers object.
Corrects the model identifier for the "Gemini 3" model in the `getModel` function in `lib/utils/index.ts`. The identifier was previously changed to an incorrect value, which caused the model initialization to fail and the system to fall back to the default provider. This change restores the correct model name, `gemini-3-pro-preview`, which resolves the issue where the application would not switch to the Gemini model when selected in the settings.
User description
This change refactors the model selection logic in
lib/utils/index.tsto be more robust and correct. It uses a configuration map to manage model initializers, which makes the code cleaner and easier to maintain. This new implementation also fixes a bug where the user's selected model was not being used correctly. The refactored code now prioritizes the user's selection and provides a graceful fallback to a default provider if the selected model fails to initialize.PR created automatically by Jules for task 260857181983113237 started by @ngoiyaeric
PR Type
Enhancement, Bug fix
Description
Refactored model selection logic using configuration map for maintainability
Fixed bug where user-selected model was not prioritized correctly
Added support for QCX-Terra model with Amazon Bedrock provider
Improved error handling with graceful fallback chain and detailed logging
Added AWS Bedrock environment variables to
.env.local.exampleDiagram Walkthrough
File Walkthrough
index.ts
Refactor model selection with config map and fallbacklib/utils/index.ts
(
modelInitializers) for cleaner codefallback chain
initialization
anthropic.claude-3-5-sonnet-20241022-v2:0toanthropic.claude-3-5-sonnet-20240620-v1:0Bedrock, OpenAI) with graceful error handling
.env.local.example
Add AWS Bedrock environment variables.env.local.example
variables
AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY,AWS_REGION, andBEDROCK_MODEL_IDplaceholders