Cover Image for πŸš€ See Inside Your Agents: Log, Monitor, and Debug AI Behavior with ZeroDB
Cover Image for πŸš€ See Inside Your Agents: Log, Monitor, and Debug AI Behavior with ZeroDB
AINative Studio - Build with AI - 2025 Personal AI Hackathon: Friday with the pitches πŸ—£οΈ and a Tech Fair πŸŽͺ on Sunday showcasing local AI community.
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πŸš€ See Inside Your Agents: Log, Monitor, and Debug AI Behavior with ZeroDB

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β€‹πŸ“Š Class 6: Logging and Analyzing Agent Activity with /agent/log


​Mastering the AI-Native Stack: Build Faster, Smarter with AI-Powered Tools

​As agents grow more autonomous, logging becomes critical. In this class, you’ll learn how to use ZeroDB’s /agent/log endpoint to record and analyze real-time agent actions β€” including reasoning steps, memory use, tool calls, and error traces.

​You'll leave with the tools to build dashboards, detect anomalies, and replay agent decisions, making your LLM stack more observable, debuggable, and trustworthy.


β€‹πŸ§° What You’ll Learn

β€‹βœ… How to log structured agent actions with /agent/log
βœ… How to track agent IDs, sessions, roles, and payloads
βœ… How to correlate logs with memory, vector usage, and external tools
βœ… How to build a β€œchain-of-thought” traceable system
βœ… How to power fine-tuning feedback with logs + RLHF data


β€‹πŸ§‘β€πŸ’» Live Coding

  • ​Define agent sessions and log payload format

  • ​Write log entries on memory search, tool use, or message output

  • ​Filter logs per agent/session/topic

  • ​Build a local agent dashboard to view recent steps

  • ​Link logs to memory and RLHF pipelines


β€‹βš™οΈ Tools We’ll Use

  • β€‹πŸ§  AINative Studio + /agent/log API

  • β€‹πŸ§  LangChain, Autogen, or custom Python agent

  • β€‹πŸ“„ JSON logging schemas

  • β€‹πŸ“ˆ Streamlit or FastAPI log viewer (optional)


​πŸ‘₯ Who Should Attend

  • ​AI agent developers

  • ​Platform observability engineers

  • ​DevOps & MLOps teams in AI-native products

  • ​LangChain / Autogen / DSPy users needing traceability


β€‹πŸ—“ When?

​Every Wednesday β€” 60 Minutes
Includes sandbox log viewer, shared templates, and code walkthrough


β€‹πŸŽ― Why Join This Class?

β€‹πŸ” Gain full visibility into your agents' thought process
🧠 Improve debugging and QA for multi-step reasoning
🧾 Power RLHF and future dataset generation from logs
πŸ›  Use structured logging to enable smarter agent supervision


β€‹βœ… Class Take Aways

  • ​Sample agent_log() function in Python

  • ​Reusable log schema (agent_id, session_id, level, payload)

  • ​Discord support in #agent-logging channel

  • ​Bonus: RLHF-ready log + reward wrapper

  • ​Optional: Kibana/Grafana log dashboard starter


β€‹πŸ“Œ Sign Up Now

​Spaces are limited β€” claim your ZeroDB vector storage workshop seat! πŸ‘‰ Reserve Your Spot

AINative Studio - Build with AI - 2025 Personal AI Hackathon: Friday with the pitches πŸ—£οΈ and a Tech Fair πŸŽͺ on Sunday showcasing local AI community.
Hosted By