---
title: "Route Claude Code Through MLflow AI Gateway"
url: https://daily.dev/posts/route-claude-code-through-mlflow-ai-gateway-ylctxn1vv
source_url: https://mlflow.org/blog/gateway-claude-code
type: article
source: "mlflow"
published: 2026-05-22T03:51:11.008Z
updated: 2026-05-22T03:51:32.425Z
tags: ["machine-learning", "observability", "claude-code", "ai-gateway"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# Route Claude Code Through MLflow AI Gateway

**[mlflow](https://daily.dev/sources/MLflow)** · 4 min read · 0 upvotes · 0 comments

## Summary

MLflow 3.12.0 introduces support for routing Claude Code through the MLflow AI Gateway, giving teams full observability, budget controls, and content guardrails over autonomous coding agent sessions. Setup requires just two environment variables — no code changes needed. Every LLM call is captured as a traceable event in the MLflow UI, showing prompts, responses, token counts, and latency. Budget policies allow setting spending thresholds with alerts and hard limits to prevent runaway costs. Guardrails can screen requests for prompt injection, PII, or restricted topics before they reach Anthropic, and filter responses before the agent sees them. The same approach also works with OpenAI Codex and Gemini CLI.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://mlflow.org/blog/gateway-claude-code>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#observability](https://daily.dev/tags/observability), [#claude-code](https://daily.dev/tags/claude-code), [#ai-gateway](https://daily.dev/tags/ai-gateway)

[View this post on daily.dev](https://daily.dev/posts/route-claude-code-through-mlflow-ai-gateway-ylctxn1vv)