Launch Week 4

Day 1: New Filters for Tables and API

Many users have millions of traces and observations. We’ve made it easier to filter and search for the data you need.

→ Learn more about filters in the UI and in the API

Day 2: Collaborate with your team directly in Langfuse

Comments now support @mentions and emoji reactions, making it easier to collaborate with your team directly in Langfuse. Tag teammates to bring their attention to specific sessions, traces, observations, or prompts, and use reactions to quickly acknowledge insights without adding another comment.

→ Learn more about comments

We teamed up with Mixpanel to integrate LLM-related product metrics into your existing Mixpanel dashboards. This integration makes it easy to combine your regular product analytics with the LLM-specific metrics that Langfuse generates.

→ Get started with the Mixpanel integration here

Day 3: Langfuse for Agents

We’re introducing a set of upgrades to make complex agents radically easier to understand and debug:

• Agent Tools now surface all tools available to the LLM at the top of each generation, with clickable definitions and a Chat UI that shows called tools, arguments, and call IDs aligned with the tools list so you can quickly verify the right ones were used.
• A new Trace Log View lets you skim every agent step in a single concatenated stream, making it easy to find specific details in loopy, verbose agents.
• Expanded Observation Types make it clear what each span represents, from tool calls to embeddings to agent steps.
• And with Agent Graphs now Generally Available for any framework or custom instrumentation, we infer graph structure from observation timings and nesting to visualize the real execution flow of your agents, especially in complex, looping scenarios.

We also added a new guide on how to evaluate LLM agents and their tools with Langfuse.