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http handleIncoming

const handleIncoming = async ({ set }: Context) => { const callResponse = new VoiceResponse(); const gather = callResponse.gather({ input: ["speech"], action: "/call/classify", language: "hi-IN", speechTimeout: "auto" }); gather.say({ language: "hi-IN", voice: "Polly.Kajal-Neural" }, "Welcome to Hundred X Dealers, मैं कैसे आपकी मदद कर सकती हूँ?");

set.headers["Content-Type"] = "text/xml";
return callResponse.toString();

}

http classifyCall

const classifyCall = async({ set, body }: Context<{ body: speechResult }>) => { const twiml = new VoiceResponse(); set.headers["Content-Type"] = "text/xml";

try {
    const speech = body.SpeechResult || "";

    if (!speech) {
        twiml.redirect(`${URL}/call/inbound`);
        return twiml.toString();
    }

    twiml.say({
        language: "hi-IN",
        voice: "Polly.Kajal-Neural"
    }, "Please wait!")

    const genResponse = await genAI.models.generateContent({
        model: 'gemini-3.1-flash-lite-preview',
        contents: speech,
        config: { 
            systemInstruction: process.env.GOOGLE_SYSTEM_PROMPT,
            responseSchema: aiResponseSchema,
            responseMimeType: 'application/json'
        }
    });

    const aiResponse = JSON.parse(genResponse.text as string);
    console.log("airesponse", aiResponse.action, aiResponse.speech);

    if (aiResponse.action == "ASK") {
        const gather = twiml.gather({
            input: ["speech"],
            language: "hi-IN",
            action: "/call/classify",
            speechTimeout: "auto",
            method: 'POST'
        });
        gather.say({
            voice: "Polly.Kajal-Neural",
            language: "hi-IN"
        }, aiResponse.speech);
        return twiml.toString();

    } else if (aiResponse.action == "ROUTE") {
        const dept = aiResponse.speech as Dept;
        const availableExec = await prisma.user.findMany({
            where: { department: dept, status: "Free" }
        });

        if (!availableExec[0]) {
            twiml.say({
                voice: "Polly.Kajal-Neural",
                language: "hi-IN"
            }, noExecMessage);
            return twiml.toString();
        }

        // here i will call the call executive webhook
        // const execNumbers = availableExec.map(a => a.phone).join(',');
        const dial = twiml.dial();

        availableExec.forEach((p) => {
            dial.number(p.phone);
        });
        return twiml.toString();

    } else if (aiResponse.action == 'CLOSE') {
        twiml.say({
            voice: "Polly.Kajal-Neural",
            language: "hi-IN"
        }, aiResponse.speech);
        return twiml.toString();
    }
} catch(e) {
    console.log("error:", e);
    twiml.say({
        voice: "Polly.Kajal-Neural",
        language: "hi-IN",
    }, "sorry there was a technical error!");
    return twiml.toString();
}

}

gemini

const genResponse = await genAI.models.generateContent({ model: 'gemini-2.5-flash', contents: speech, config: { systemInstruction: GOOGLE_SYSTEM_PROMPT, responseSchema: aiResponseSchema, responseMimeType: 'application/json' } });

repetition on ai response

fixed by maintaining call transcript