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IntegrationsActionsChat with NanoChat LLM (d32 Model)
Chat with NanoChat LLM (d32 Model)

Chat with NanoChat LLM (d32 Model)

Action0.01 USDC on base

Stream real-time responses from NanoChat, a 32-layer transformer language model built by Andrej Karpathy in 2025. Access this lightweight LLM via the NanoBrain platform for conversational AI tasks with streaming token-by-token output. | Input: Accepts an empty request body (no parameters required) to initiate a chat session | Output: Returns streaming server-sent events (SSE) with token-by-token text generation from the NanoChat d32 model, including model identification and completion markers | Use cases: I want to chat with a lightweight language model for quick responses; Get streaming AI responses for conversational tasks; I need to integrate a compact LLM into my application; Generate text responses using the NanoChat d32 model

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This action will execute the specified operation when your workflow runs.

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Input Parameters

This endpoint has no configurable parameters.

Output

Payment details from x402 facilitator

Fields

amountPaidAmount paid in smallest token unit
string
assetToken address used for payment
string
networkNetwork where payment was made (e.g., 'base')
string
payerPayer wallet address
string
transactionTransaction hash (may be null if server doesn't return x-payment-response header)
string

The endpoint response data. Access fields with {{nodeId.result.resource.fieldName}}

Whether the request succeeded

HTTP status code

Discussion

Loading chat...
ID: x402ep_d5s9k9smd1grabgljr70
0 Inputs
4 Outputs(1 required)
... active workflows