ASI Workshop
summary
Live demos show building an agent in the browser IDE, sending agent‑to‑agent messages that arrive and log correctly, adding the Chat Protocol to wrap LLM handlers, deploying to AgentVerse hosting and registering to the Almanac registry so ASI1 can search, rank and orchestrate it. The stack uses UAgents plus LangChain/CrewAI/Autogen adapters, ASI1 models (Mini/Fast/Extended/Agentic/Graph), OpenAI‑compatible APIs, tool calling and JSON schemas; hosted vs local tradeoffs and SEO tips for discoverability are covered.
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chapters (29)
- 0:00Start
- 0:13Welcome & workshop goals
- 1:15Format and follow-up session at ETHGlobal
- 2:07What is Fetch.ai & ASI Alliance
- 3:06Ecosystem: ASI1, AgentVerse, UAgents
- 4:37Tool stack overview & framework compatibility
- 7:29Agent search & discovery pipeline (Almanac → AgentVerse → ASI1)
- 8:48Building your first UAgent (marketplace tour)
- 10:40Creating an agent in AgentVerse UI
- 11:31Agent code anatomy & running locally in AgentVerse
- 12:58Registration to Almanac contract
- 13:25Agent communication demo (Alice ↔ Bob)
- 16:54Chat Protocol + LLM agent (Birds agent example)
- 18:07Code walkthrough: chat handler & prompts
- 20:23API keys for ASI1; restarting agent with key
- 22:03Testing via ASI1 Agent Search (peacock example)
- 23:12Testing via AgentVerse “Chat with Agent”
- 23:54Dev approaches: hosted vs local agents, constraints
- 25:44Chat Protocol internals & flow diagram
- 27:05Adapters for LangChain/LangGraph/CrewAI
- 29:29ASI1 agentic LLM overview (models & use)
- 31:13Sessions, async processing, discovery best practices
- 32:11Tool calling with ASI1 (OpenAI-compatible)
- 32:59Structured outputs & JSON schemas
- 33:26OpenAI API compatibility (base URL swap)
- 34:51Resource hub: docs, SEO guide, Innovation Lab
- 36:49One-stop hackathon guide & examples repo
- 38:37Support at the hackathon & contact info
- 39:28Closing & good luck
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