Files

Vectry bdd6362c1a fix: upsert traces to handle duplicate IDs from intermediate flushes

Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-Claude)

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>

2026-02-10 11:41:49 +00:00

AgentLens Launch -- Twitter/X Thread

Tweet 1 (Hook)

Current agent observability tools tell you WHAT API calls your agent made.

They don't tell you WHY it picked tool A over tool B, or why it retried instead of escalating.

That's the gap I kept hitting. So I built something to fix it.

Tweet 2 (What it does)

AgentLens traces agent decisions, not just LLM calls.

It captures tool selection, routing, planning, retries, and escalation -- with the reasoning, alternatives considered, and confidence at each step.

Open source. MIT licensed. Built solo in 2 weeks.

#AI #OpenSource #Agents

Tweet 3 (Code)

Four lines to get started:

pip install vectry-agentlens

import agentlens
agentlens.init(api_key="key", endpoint="http://localhost:4200")
wrap_openai(openai.OpenAI())

Auto-instruments your OpenAI client. Then trace decisions as they happen.

Tweet 4 (Features)

What you get:

Live Next.js dashboard with decision flows
OpenAI auto-instrumentation via wrap_openai()
7 decision types: routing, planning, tool selection, retry, escalation, memory retrieval, custom
Self-host with Docker Compose
Python SDK on PyPI

#DevTools #LLM

Tweet 5 (CTA)

AgentLens is v0.1.0 -- early but functional. Rough edges exist.

Feedback welcome, especially on the decision model.

#OpenSource #AI #Agents