Streaming Chat Inference

Stream conversational inference through 0G Compute Network providers with usage settlement.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/Vocaid/vocaid-hub --skill streaming-chat-inference
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Streaming Chat Inference
Source: https://github.com/Vocaid/vocaid-hub/tree/main/agents/.agents/shield/skills/compute/streaming-chat
Command: npx skills add https://github.com/Vocaid/vocaid-hub --skill streaming-chat-inference

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill orchestrates verified 0G Compute chat providers to deliver streamed or standard conversational responses while ensuring provider acknowledgement, usage tracking, and fee settlement.

Core Features & Use Cases

  • Streaming and non-streaming modes: Works with DeepSeek, Qwen, Gemma, or GPT-OSS models to stream tokens or return completed responses.
  • Provider lifecycle management: Handles broker initialization, metadata retrieval, auth headers, and usage reporting that prevents settlement failures.
  • Use Case: Deploy a customer-facing chatbot that streams replies, captures chat IDs from headers, and calls processResponse after each request so provider fees settle automatically.

Quick Start

Use streaming chat inference to send a user prompt through the broker, collect the chat id from headers, and immediately invoke processResponse with the reported usage.

Frequently Asked Questions about Streaming Chat Inference

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I handle usage settlement for streaming chatbot inference?

To handle usage settlement for streaming chatbot inference, you must capture the chat ID from response headers and call processResponse with the reported usage data before closing each interaction. This ensures provider fees settle automatically through the broker.

What is the best way to manage provider lifecycle in a 0G Compute chat flow?

The best way to manage the provider lifecycle in a 0G Compute chat flow is to initialize the broker, retrieve metadata and auth headers, and ensure provider acknowledgement. This prevents settlement failures and guarantees verified chat delivery.

How do I capture chat IDs from headers during multi-turn chatbot flows?

To capture chat IDs during multi-turn chatbot flows, extract the identifier from the stream payloads or headers returned by the 0G Compute Network provider. You then use this chat ID to invoke processResponse with the usage data.

Why does fee settlement fail when streaming conversational responses?

Fee settlement fails when streaming conversational responses if you omit provider acknowledgement or fail to call processResponse with usage data before closing the interaction. Proper broker initialization and auth header retrieval are required to prevent this.