MLflow
@MLflow
The open source developer platform to build AI applications and models with confidence.
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2 weeks until Open Lakehouse + AI Meetup in Paris 🇫🇷
Building with MLflow? Don't miss @omnigent_ai: A Meta Harness for AI Agents. Aravind Segu and Edwin He will show how to capture @opentelemetry traces for observability in MLflow across multi-harness agent workflows.
🗓️ Sept 23 | 6–9:30 PM CEST
📍 La Fondation
👉 RSVP:
#MLflow# #AIAgents# #Paris#
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A workflow can move from Cursor to Claude Code to Pi to Codex by copy-pasting prompts and outputs. Each harness logs differently, which leaves a hole when you try to debug, audit, or trust the run.👇
This blog shows how @omnigent_ai unifies that interface and sends standardized traces to MLflow: agent turns, tool calls, per-turn tokens, and session metadata, with no app code changes.
🔗
#MLflow# #Omnigent#
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Jules Damji (@databricks) walks through what breaks when you switch coding harnesses: sharing context, carrying policies, and seeing whether the agents did the right thing. @omnigent_ai sits on top as a meta-harness; session-scoped traces go to MLflow.
📽️ Watch the tutorial:
#Omnigent# #MLflow# #OpenSource# @2twitme
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