google gemini support function call#5581
google gemini support function call#5581lloydzhou merged 2 commits intoChatGPTNextWeb:mainfrom ConnectAI-E:feature/gemini-functioncall
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WalkthroughThe changes in this pull request primarily focus on enhancing the Changes
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📜 Recent review detailsConfiguration used: CodeRabbit UI 📒 Files selected for processing (3)
🚧 Files skipped from review as they are similar to previous changes (2)
🧰 Additional context used🔇 Additional comments (5)
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (5)
app/utils.ts (1)
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291-315: Approved with suggestions for improvementThe changes to the
fetchfunction improve its flexibility and consistency. However, I have a few suggestions:
- Consider separating the Tauri-specific logic into a separate function for better maintainability.
- The
options?.responseType == "text"check might be more robust as a strict equality check (===).- Consider using TypeScript's type system more effectively to avoid type assertions.
Here's a suggested refactor:
function tauriFetch(url: string, options?: Record<string, unknown>): Promise<any> { const payload = options?.body || options?.data; return window.__TAURI__.fetch(url, { ...options, body: payload && { type: "Text", payload, }, timeout: ((options?.timeout as number) || REQUEST_TIMEOUT_MS) / 1000, responseType: options?.responseType === "text" ? ResponseType.Text : ResponseType.JSON, }); } export function fetch(url: string, options?: Record<string, unknown>): Promise<any> { if (window.__TAURI__) { return tauriFetch(url, options); } return window.fetch(url, options); }This refactor separates the Tauri-specific logic, uses strict equality, and reduces the need for type assertions.
app/utils/chat.ts (4)
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22-34: Prevent potential infinite loop in 'compressImage' functionIn the
compressImagefunction, thedo...whileloop may result in an infinite loop if the image cannot be compressed belowmaxSize, especially when both quality and dimensions reach their minimum thresholds. Consider adding a maximum number of iterations or additional checks to prevent a potential infinite loop.Apply this diff to implement a maximum iteration count:
let iteration = 0; do { // existing code... iteration++; -} while (dataUrl.length > maxSize); +} while (dataUrl.length > maxSize && iteration < 10); +if (iteration >= 10) { + console.warn('Image compression stopped after reaching maximum iterations'); +}
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162-164: Avoid suppressing TypeScript errors with@ts-ignoreThe use of
@ts-ignoresuppresses TypeScript errors, which may hide potential issues and reduce type safety. To improve code quality, consider properly typingfuncsandtoolso that TypeScript can correctly type-check this code without the need for@ts-ignore.You can define appropriate TypeScript interfaces for
funcsandtoolto ensure type correctness.
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119-130: Possible race condition infinishfunction leading to multiplechatApicallsIn the
finishfunction, when!finishedand!running && runTools.length > 0, the function callschatApiafter asetTimeout, butrunningis set tofalsebefore callingchatApi. This could lead to multiple concurrentchatApicalls iffinishis invoked again beforechatApicompletes. Consider ensuringrunningremainstrueuntilchatApihas completed its execution to prevent concurrent calls.Apply this diff to adjust the
runningflag appropriately:- running = false; chatApi(chatPath, headers, requestPayload, tools); // call fetchEventSource + running = false;
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116-127: OptimizeanimateResponseTextfor smoother updatesThe
animateResponseTextfunction usesrequestAnimationFramefor text updates, but whenremainText.lengthis large, it might cause UI lag due to heavy processing within each frame. Consider throttling updates or processing smaller chunks per frame to ensure smoother UI performance.
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📒 Files selected for processing (3)
- app/client/platforms/google.ts (2 hunks)
- app/utils.ts (1 hunks)
- app/utils/chat.ts (1 hunks)
🔇 Additional comments (4)
app/utils.ts (2)
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1-391: Summary of changes and suggestions
- The addition of Google provider support in the
showPluginsfunction is approved, but clarification is needed on why vision models are excluded for Google.- The
fetchfunction improvements are approved, but a refactor is suggested for better separation of concerns between browser and Tauri environments.Overall, these changes seem to support Google Gemini integration as mentioned in the PR title. However, more context in the PR description would have been helpful for a more comprehensive review.
287-289: LGTM, but clarification needed on vision model exclusionThe addition of Google provider support is consistent with the function's structure. However, could you please clarify why vision models are excluded for Google? This information would be helpful for maintainers and could potentially be added as a comment.
To ensure consistency, let's check for any other occurrences of Google provider handling:
app/client/platforms/google.ts (1)
184-188: Verify initialization of 'mask' and 'plugin' properties to prevent undefined behaviorIn lines 184-188, the code accesses
useChatStore.getState().currentSession().mask?.plugin || []to retrieve plugins. Ensure thatcurrentSession(),mask, andpluginare properly initialized to avoid potential runtime errors if any of these properties areundefinedornull.app/utils/chat.ts (1)
243-243: Ensuretool.idis defined and uniqueThe addition of
tool_call_id: tool.idassumes that eachtoolobject has anidproperty that is defined and unique. Please verify thattool.idis always initialized before this point to prevent undefined values or collisions.Run the following script to search for assignments to
tool.idin the codebase:

💻 变更类型 | Change Type
🔀 变更说明 | Description of Change
📝 补充信息 | Additional Information
Summary by CodeRabbit
New Features
Improvements
Bug Fixes
Refactor