AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs


Nội dung File JSON

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    "name": "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs",
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                "content": "## Get Context"
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                "content": "## Save Context"
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            "type": "n8n-nodes-base.httpRequest",
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                "url": "=https://api.elevenlabs.io/v1/text-to-speech/{{voice id}}",
                "method": "POST",
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                "content": "* ### For the Text-to-Speech part, we''ll use ElevenLabs.io, which is free and offers a variety of voices to choose from. However, you can also use the OpenAI `\"Generate audio\"` node instead.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n* ### Since there is no pre-built node for `\"ElevenLabs\"` in n8n, we''ll connect to it through its API using the \"HTTP Request\" node.\n\n## Prerequisites:\n* ### `\"ElevenLabs API Key\"` (you can obtain it from their website).\n* ### `\"Voice ID\"` (you can also get it from ElevenLabs'' \"Voice Library\").\n## Setup\n* ### In the URL parameter, replace \"{{voice id}}\" at the end of the URL with the Voice ID you obtained from ElevenLabs.io.\n* ### To set up your API Key, add custom authentication and include the following `JSON` with your acual ElevenLabs API Key:\n```json\n{\n \"headers\": {\n \"xi-api-key\": \"put-your-API-Key-here\"\n }\n}\n```"
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                "content": "### The \"Get Chat,\" \"Insert Chat,\" and \"Window Buffer Memory\" nodes will help the LLM model maintain context throughout the conversation."
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