bdd6362c1a
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-Claude) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
68 lines
1.5 KiB
Markdown
68 lines
1.5 KiB
Markdown
# AgentLens Launch -- Twitter/X Thread
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---
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**Tweet 1 (Hook)**
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Current agent observability tools tell you WHAT API calls your agent made.
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They don't tell you WHY it picked tool A over tool B, or why it retried instead of escalating.
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That's the gap I kept hitting. So I built something to fix it.
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---
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**Tweet 2 (What it does)**
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AgentLens traces agent decisions, not just LLM calls.
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It captures tool selection, routing, planning, retries, and escalation -- with the reasoning, alternatives considered, and confidence at each step.
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Open source. MIT licensed. Built solo in 2 weeks.
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#AI #OpenSource #Agents
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---
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**Tweet 3 (Code)**
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Four lines to get started:
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```
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pip install vectry-agentlens
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import agentlens
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agentlens.init(api_key="key", endpoint="http://localhost:4200")
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wrap_openai(openai.OpenAI())
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```
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Auto-instruments your OpenAI client. Then trace decisions as they happen.
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---
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**Tweet 4 (Features)**
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What you get:
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- Live Next.js dashboard with decision flows
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- OpenAI auto-instrumentation via wrap_openai()
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- 7 decision types: routing, planning, tool selection, retry, escalation, memory retrieval, custom
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- Self-host with Docker Compose
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- Python SDK on PyPI
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#DevTools #LLM
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---
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**Tweet 5 (CTA)**
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AgentLens is v0.1.0 -- early but functional. Rough edges exist.
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Try the live demo: https://agentlens.vectry.tech
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Repo: https://gitea.repi.fun/repi/agentlens
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Install: pip install vectry-agentlens
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Feedback welcome, especially on the decision model.
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#OpenSource #AI #Agents
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