AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs
Configured with Aggregate, Chain LLM, HTTP Request, Limit, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Data store
- Transform
- AI & models
- Web / API
- Trigger
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| Get Chat | Data store | Memory Manager | See node parameters |
| Insert Chat | Data store | Memory Manager | See node parameters |
| Aggregate | Transform | Aggregate | See node parameters |
| Window Buffer Memory | Data store | Memory Buffer Window | See node parameters |
| Google Gemini Chat Model | AI & models | LM Chat Google Gemini | See node parameters |
| Respond to Webhook | Web / API | Respond To Webhook | See node parameters |
| ElevenLabs - Generate Audio | Web / API | HTTP Request | POST |
| Limit | Transform | Limit | See node parameters |
| Basic LLM Chain | AI & models | Chain LLM | See node parameters |
| Webhook | Trigger | Webhook | See node parameters |
| OpenAI - Speech to Text | AI & models | Open Ai | audio / transcribe |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
googlePalmApihttpCustomAuthopenAiApi
Workflow notes
Prerequisites:
-
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. -
Since there is no pre-built node for
"ElevenLabs"in n8n, we'll connect to it through its API using the "HTTP Request" node.
Prerequisites:
-
"ElevenLabs API Key"(you can obtain it from their website). -
"Voice ID"(you can also get it from ElevenLabs' "Voice Library").
Setup
-
In the URL parameter, replace "{{voice id}}" at the end of the URL with the Voice ID you obtained from ElevenLabs.io.
-
To set up your API Key, add custom authentication and include the following
JSONwith your acual ElevenLabs API Key:
{
"headers": {
"xi-api-key": "put-your-API-Key-here"
}
}
AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs
AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs
Purpose and structure
This folder contains the AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs workflow. Its executable nodes use aggregate, chainLlm, httpRequest, limit, lmChatGoogleGemini, memoryBufferWindow, memoryManager, openAi, respondToWebhook, webhook. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
Webhook
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Limit/1262_Limit_Webhook_Automation_Webhook.json MIT; preserve source notices.
Canvas section labels
These name areas of the original canvas; they do not include explanatory instructions.
- Get Context
- Save Context
- The "Get Chat," "Insert Chat," and "Window Buffer Memory" nodes will help the LLM model maintain context throughout the conversation.