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Use Cloptima With Langfuse

Keep Langfuse for prompt engineering and tracing, and add Cloptima for budgets, guardrail cost governance, response caching, and cost optimization.

7 min read Updated June 2026Coming from another tool
On this page
  1. 01Different Jobs, Same Traffic
  2. 02Keep Langfuse For Prompt Engineering
  3. 03Forward usage to Cloptima
  4. 04Add budgets, guardrails, and caching

01

Different Jobs, Same Traffic

Langfuse is a strong tool for tracing, prompt iteration, and general-purpose evaluation while you're building. Cloptima governs and accounts for the spend that traffic creates once it's in production: budgets, guardrail cost policy, response caching, and cost optimization tied directly to specific recommendations.

02

Keep Langfuse For Prompt Engineering

There's no reason to give up trace-level debugging, prompt versioning, or evaluation workflows you already rely on. Cloptima does not replace them.

03

Forward usage to Cloptima

Route production traffic through Cloptima's gateway (or forward usage from wherever it currently runs) so budgets, guardrail cost governance, and caching apply, while Langfuse keeps handling trace-level debugging and prompt iteration.

bash
https://api.cloptima.ai/v1/ai/integrations/langfuse/events
# Authorization: Bearer clop_vk_dPXO67p…

04

Add budgets, guardrails, and caching

Once usage is flowing, set model and provider budgets, enable guardrail profiles (and choose what happens if a provider scan cannot run), and turn on the exact or semantic response cache in Monitor only to see savings before serving.

Put This Guide Into Practice

Cloptima automates the strategies described in this guide.

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5-minute setup
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