Gemini: Fix cross-chunk parsing of multipart replies

39cfb35c1a4d1ae56811ef5c5afb4190bc2fc041

Cohee <18619528+Cohee1207@users.noreply.github.com>

public/scripts/openai.js+4 -4 Viewed

     if (oai_settings.chat_completion_source === chat_completion_sources.CLAUDE) {
         return data?.delta?.text || '';
     } else if (oai_settings.chat_completion_source === chat_completion_sources.MAKERSUITE) {
         return data?.candidates?.[0]?.content?.parts?.[0]?map(x => x.text)?.join('\n\n') || '';
     } else if (oai_settings.chat_completion_source === chat_completion_sources.COHERE) {
         return data?.delta?.message?.content?.text || data?.delta?.message?.tool_plan || '';
     } else {

  * parseChatCompletionLogprobs converts the response data returned from a chat
  * completions-like source into an array of TokenLogprobs found in the response.
  * @param {Object} data - response data from a chat completions-like source
  * @returns {import('./logprobs.js').TokenLogprobs[] | null} converted logprobs
  */
 function parseChatCompletionLogprobs(data) {
     if (!data) {

  * completion API and converts into the structure used by the Token Probabilities
  * view.
  * @param {{content: { token: string, logprob: number, top_logprobs: { token: string, logprob: number }[] }[]}} logprobs
  * @returns {import('./logprobs.js').TokenLogprobs[] | null} converted logprobs
  */
 function parseOpenAIChatLogprobs(logprobs) {
     const { content } = logprobs ?? {};

  * completion API and converts into the structure used by the Token Probabilities
  * view.
  * @param {{tokens: string[], token_logprobs: number[], top_logprobs: { token: string, logprob: number }[][]}} logprobs
  * @returns {import('./logprobs.js').TokenLogprobs[] | null} converted logprobs
  */
 function parseOpenAITextLogprobs(logprobs) {
     const { tokens, token_logprobs, top_logprobs } = logprobs ?? {};

src/endpoints/backends/chat-completions.js+3 -3 Viewed

+            }
             const responseContent = candidates[0].content ?? candidates[0].output;
 -            const responseText = typeof responseContent === 'string' ? responseContent : responseContent?.parts?.[0]?.text;
 +            console.log('Google AI Studio response:', responseContent);
++
 +            const responseText = typeof responseContent === 'string' ? responseContent : responseContent?.parts?.map(part => part.text)?.join('\n\n');
             if (!responseText) {
                 let message = 'Google AI Studio Candidate text empty';
                 console.log(message, generateResponseJson);
                 return response.send({ error: { message } });
+            }
 -            console.log('Google AI Studio response:', responseText);
+-
             // Wrap it back to OAI format
             const reply = { choices: [{ 'message': { 'content': responseText } }] };
             return response.send(reply);