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ClickHouseAI Observability

Langfuse

Langfuse traces and evaluates LLM apps and agents. It versions prompts on Langfuse Cloud or self-hosted under the MIT license. ClickHouse acquired it in January 2026.

The 30-Second Take

Pick Langfuse for tracing, evals and prompt versioning when trace data must stay in your own infrastructure.

ClickHouse has owned the MIT-licensed platform since January 2026. Pinterest and Khan Academy trace production agents in it.

Best fit
Teams shipping LLM apps or agents that want tracing, evals, and prompt versioning in one open-source platform they can self-host.
Main constraint
Self-hosting requires ClickHouse, PostgreSQL, Redis, and S3. Cloud counts each trace and observation as a unit, plus each score.
First move
Trace one production service with the v4 SDKs or OpenTelemetry on Langfuse Cloud Core, with a spend alert set.

Why

Watch the stack: self-hosting means ClickHouse, Redis and S3 with an owner, and on Cloud every trace, observation and score bills as a unit. Langfuse Cloud moves to v4 on November 16, 2026, and old SDKs will not survive it.

Practitioner sentiment, teams and leaders+46 Positive

26 practitioners, 103 sources reviewed, Updated Oct 30, 2026How this is measured

Read the GILD Review
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Operating stack
AI Application Platform

Comparisons

How does Langfuse compare with the alternatives?

  1. Langfuse vs LangSmith

    • AI Observability

    Pick Langfuse when trace data must stay on your servers without a contract: its MIT-licensed core self-hosts free, and Cloud bills units of traces, observations, and scores. Pick LangSmith, billed per seat and per trace, for one vendor that traces and hosts LangGraph agents; it self-hosts only on Enterprise.

  2. Langfuse vs Arize

    • AI Observability

    bbv left Arize Phoenix for Langfuse over Phoenix's license, and Bayes Impact moved to Phoenix for a lighter stack. Pick Langfuse to self-host free under the MIT license with prompt management included. Pick Arize AX when the same team also monitors classification or ranking models for drift and performance.

  3. Langfuse vs Braintrust

    • AI Observability

    CREATE SOMETHING retired Braintrust for Langfuse in July 2026. Pick Langfuse to run the whole platform yourself; at 200,000 traces a month GILD's calculation from published rates puts its Pro plan at US$369 against US$474 on Braintrust Pro. Pick Braintrust for a managed eval product when scores per trace stay few.

Operator Insights

What are teams learning from building on Langfuse and running it in production?

Buying and deployment

What a team building on it should verify before production traffic grows.

Sourced from Langfuse documentation

How you buy it

US$29

A month for Core with 100,000 units and unlimited users. Hobby is free.

Source 1, Langfuse, Cloud pricing: Cloud pricingSource 2, Langfuse, Self-hosted pricing: Self-hosted pricing

Details

Hobby is free with 50,000 units a month, 30 days of data access, and 2 users. Core is US$29 a month with 100,000 units and unlimited users, Pro is US$199 a month with 3 years of data access, and Enterprise is US$2,499 a month. Self-hosting the MIT-licensed core is free, and self-hosted Enterprise is custom-priced and bundled with a ClickHouse plan.

Cost drivers

US$8 per 100,000

Units past the allowance. Every trace, observation, and score counts as one.

Source 5, Langfuse, Billable units: Billable unitsSource 1, Langfuse, Cloud pricing: Cloud pricing

Details

Every trace, observation, and score is a unit, including scores from Langfuse's own evaluators. Past the included units, paid plans charge US$8 per 100,000. Rates fall to US$7 above 1 million, US$6.50 above 10 million, and US$6 above 50 million. Pro's enterprise SSO and project RBAC require the US$300 monthly Teams add-on.

Where it runs

US, EU, Japan

Separate cloud regions, plus HIPAA. Moving region means a new account.

Source 3, Langfuse, Data regions: Data regionsSource 6, Langfuse, Self-host Langfuse: Self-host Langfuse

Details

Cloud runs on AWS and ClickHouse Cloud in separate US, EU, Japan, and HIPAA regions. Moving regions requires a new account. Use Docker Compose for self-hosted testing. Production uses Kubernetes (Helm) or the AWS, Azure, and GCP deployment guides, with PostgreSQL, ClickHouse, Redis, and S3.

What to verify

November 16, 2026

Cloud goes v4-only. Python SDKs below 4.7.0 and JS SDKs below 5.4.0 must upgrade.

Source 4, Langfuse, Langfuse v4: Langfuse v4Source 8, langfuse.com, Upgrade to Langfuse v4 (FAQ): Upgrade to Langfuse v4 (FAQ)Source 3, Langfuse, Data regions: Data regionsSource 7, Langfuse, Data retention: Data retention

Details

Cloud becomes v4-only on November 16, 2026: legacy ingestion and read APIs stop, Python SDKs below 4.7.0 and JS/TS SDKs below 5.4.0 must be upgraded, and trace-level LLM judges move to observations. Projects the Migration Assistant flags must act before then. Cloud does not replicate ClickHouse traces to another region. Retention policies require Pro or a self-hosted Enterprise key, with a 3-day minimum; without a retention policy, Langfuse does not automatically delete event data. Audit logs come with Enterprise on Cloud and with a self-hosted Enterprise key, and project retention does not delete them.

Signals

What is the current evidence saying about Langfuse?

Named teams at Pinterest, Cresta, Khan Academy and SuperDial trace production agents in Langfuse, while Bayes Impact and one self-hoster moved to Phoenix to run less infrastructure. Each finding links to its public sources, and the problem-first research records added on Oct 28, 2026 take no side.

Whose sources count

Practitioner sentiment, teams and leaders

+46 Positive net

of 26 sources that take a side, each author counted once. Small sample.

How this figure is made

Current sentiment

Positive, mixed and negative sources

No source is negative.

Team accounts lean positive, and 26 team and leadership sources give an opinion. All 4 discussing open source and self-hosting praise it. Upgrades draw the most concern, in 5 of 6 sources discussing them. Eight use OpenTelemetry to keep the backend replaceable. Platform choice now splits evenly, 5 to 5, since Apify moved its evals to Langfuse.

Run a pilot on one production app to measure which failures it surfaces and how long tracing them takes.

Evidence field. All 103 sources, one mark each.

Arrange by

Each mark is one source: positive, mixed, negative, no opinion stated, or documentation (not counted).

By sentiment, Teams and technical leaders. Every source GILD read, grouped as the field draws it.
GroupSourcesPositiveMixedNegativeNo opinion stated and not counted in the scoreDocumentation, checked and not counted
Positive12120000
Mixed14014000
Negative000000
Not counted500050
Documentation15000015
Outside this group57171610140
Every source GILD read, by the quarter it was published, as the field's time axis counts it. Documentation is dated by the day it was checked.
QuarterSources
Q1 20253
Q2 20256
Q3 202510
Q4 20256
Q1 202615
Q2 20268
Q3 202626
Q4 202614
Documentation, checked15

By sentiment

15 documentation pages check facts and are not counted; 57 sit outside this group.

Hover a mark for a quick look, click it or press Enter to open its source.Tap a mark to open its source, then step to its neighbors with Previous and Next.

What practitioners praise

Each mark is a source on it; filled marks praise it.

  1. Trace-Level DebuggingAll 5 sources on it praise it

Most common concerns

Each mark is a source on it; filled marks raise it.

  1. Upgrades & Migrations5 of 6 sources on it raise it as a concern
All 103 sources behind these findings
  1. Comment on: Ask HN: Has anyone used Phoenix, Langfuse, or OpenObserve?jack_bing, Hacker News commenter (self-described: Has used both Langfuse and Pydantic Logfire), Hacker News comment, published Oct 28, 2026
  2. Comment on: Ask HN: Has anyone used Phoenix, Langfuse, or OpenObserve?Applied_AI, Hacker News commenter (self-described: Traces agents in Langfuse), Hacker News comment, published Oct 28, 2026
  3. Post on X asking about self-hosted LLM observabilityYash Solanki, X user (self-described: Uses Langfuse and wants a lighter self-hosted tracer on Cloudflare), X post, published Oct 27, 2026
  4. Reply on X about Phoenix and LangfuseJimothy de la Cruz, Senior Software Engineer (X profile) (self-described: Tried both Phoenix and Langfuse), X post, published Oct 27, 2026
  5. Best langfuse alternative with evals and governance built in? new customer says no data outside the EUOk-Balance6208, Reddit poster (self-described: Two-person platform team; a new enterprise customer's contract requires EU-only data), Reddit post, r/LangChain, published Oct 26, 2026
  6. bug: ClickHouse migration 0050 fails on historical Compact scores parts on recommended 26.4Alan Munirji (alanmun), issue author; Codex filed it on his behalf (self-described: Self-hosted Langfuse in production, upgrading from 4.28.1 to 4.70.1 on ClickHouse 26.4), GitHub issue, published Oct 26, 2026
  7. bug: Graph view freezes the browser for seconds on traces with nested spans (quadratic step adjustment in buildStepData)kumarpriyanshu09, issue author and past contributor to langfuse/langfuse (self-described: Agent traces with thousands of nested observations), GitHub issue, published Oct 26, 2026
  8. Reply on X about cost tags on agent tracesJack Rudenko, CTO at MadAppGang (X profile) (self-described: MadAppGang's evaluation of agent frameworks), X post, published Oct 23, 2026
  9. Post on X about self-hosting Langfuse for data residencyHaresh, GenAI Engineer (X profile) (self-described: Client work with data residency requirements, Langfuse self-hosted in the client's Azure tenant), X post, published Oct 21, 2026
  10. Comment on: Do we really need wrappers like LangChain/LlamaIndex?NatureLucky4912, Reddit commenter (self-described: Built an end-to-end production RAG engine without LangChain), Reddit comment, r/LangChain, published Oct 15, 2026
  11. Post on X about getting started with evaluation toolsGanesh Iyer, AI payments builder and creator of the Nura family assistant (X profile) (self-described: Tried Arize, Langfuse and Braintrust while building his own apps), X post, published Oct 13, 2026
  12. PricingLangfuse (Official), Product documentation, checked Oct 12, 2026
  13. Billable unitsLangfuse (Official), Product documentation, checked Oct 12, 2026
  14. Self-hosted pricingLangfuse (Official), Product documentation, checked Oct 12, 2026
  15. Self-host LangfuseLangfuse (Official), Product documentation, checked Oct 12, 2026
  16. Migrate Langfuse v3 to v4 (self-hosted)Langfuse (Official), Product documentation, checked Oct 12, 2026
  17. Langfuse v4 is liveLangfuse (Official), Product documentation, checked Oct 12, 2026
  18. Data retentionLangfuse (Official), Product documentation, checked Oct 12, 2026
  19. Data regionsLangfuse (Official), Product documentation, checked Oct 12, 2026
  20. Security and complianceLangfuse (Official), Product documentation, checked Oct 12, 2026
  21. MaskingLangfuse (Official), Product documentation, checked Oct 12, 2026
  22. OpenTelemetryLangfuse (Official), Product documentation, checked Oct 12, 2026
  23. Evaluation overviewLangfuse (Official), Product documentation, checked Oct 12, 2026
  24. Prompt managementLangfuse (Official), Product documentation, checked Oct 12, 2026
  25. Spend alertsLangfuse (Official), Product documentation, checked Oct 12, 2026
  26. AlertsLangfuse (Official), Product documentation, checked Oct 12, 2026
  27. bug: recurring Worker Redis socket timeouts; upstream ioredis reconnect fix not includedklaus-zzz, issue author (self-described: Self-hosted Langfuse Worker in production, after heavy OTLP ingestion), GitHub issue, published Oct 10, 2026
  28. fix(langfuse): read traces via Observations API v2 before Langfuse Cloud's v4 cutovernimrodbusany, Traigent maintainer (self-described: Traigent SDK's Langfuse connector), GitHub pull request, published Oct 7, 2026
  29. epic: digitrace rename + self-hosted Langfuse on Cloudflare (cut LangSmith)Chris (chrizefan), owner and approver of tooling decisions at digithings.ai (self-described: digithings.ai LangGraph workloads), GitHub issue, published Oct 1, 2026
  30. feat(observability): export traces over OTLP and link them to Phoenix instead of LangfuseJérémie Doucy, contributor to the Bayes Impact platform (self-described: Bayes Impact platform, staging and production), GitHub pull request, published Sep 29, 2026
  31. G11: Temporal replaces ARQ; Langfuse removedamruthvvkp, maintainer of DraftPilot (self-described: Personal project stack), GitHub issue, published Sep 27, 2026
  32. bug: Data retention mutations accumulate and block async inserts on S3-backed self-hosted ClickHouseNiranchana08, issue author (self-described: Self-hosted Langfuse on S3-backed ClickHouse, several projects writing hundreds of traces a minute), GitHub issue, published Sep 24, 2026
  33. feat(#126): migrate Langfuse to JS SDK v5 for the v4 observations modelalexosugo, contributor to Medic's cht-agent (self-described: Medic's Community Health Toolkit agent), GitHub pull request, published Sep 23, 2026
  34. fix(models): migrate Langfuse integration to v4 SDKVimarshDwivedi, contributor to CAMEL (self-described: CAMEL agent framework's Langfuse integration), GitHub pull request, published Sep 21, 2026
  35. Set up a .NET application w/th OpenTelemetry, and trace/evaluate in LangfuseThang Chung, Engineer at Tiger Tribe (HEINEKEN) (self-described: AI-infused products across the company), dev.to article, published Sep 21, 2026
  36. How we migrated to Langfuse v4 ahead of the cutoverUttam Kumaran, Founder & CEO, Brainforge (Brainforge agent platform with Mastra agents, chat routes, voice traces, and Cloudflare workers on Langfuse Cloud), Company engineering blog post, Brainforge blog, published Sep 18, 2026
  37. Maintenance: complete the Langfuse v4 migration (JS SDK v5) before the 2026-11-16 cutover99Yash, maintainer of alfred (self-described: Production on Langfuse Cloud, self-hosted dev stack), GitHub issue, published Sep 17, 2026
  38. chore(langfuse): migrate tracing and experiments to v4tatoalo, contributor to Sure (self-described: Sure, an open-source personal finance app), GitHub pull request, published Sep 17, 2026
  39. How Ramp uses Langfuse: Observing, debugging, and continuously improving production AI agentsRyan Delgado and David Traina, Ryan Delgado (Engineering) and David Traina (Data Platform), Ramp (self-described: Ramp, agents across expense, close, and an internal coding agent; self-hosted Langfuse), Conference talk (hosted by ClickHouse, Langfuse's parent company), ClickHouse on YouTube, published Sep 17, 2026
  40. v4 backfill (M3): per-part chunking does not bound memory, full_sorting_merge sorts input/outputjokerleee-ctrl, issue author (self-described: Self-hosted production Langfuse running the v4 backfill), GitHub issue, published Sep 16, 2026
  41. Dual-write Event Propagation Job cursor stuck for 48+ hours, no errors loggedDanielRuVe, issue author (self-described: Self-hosted Langfuse on EKS with the Helm chart, mid-upgrade from v3 to v4 in dual-write mode), GitHub issue, published Sep 14, 2026
  42. chore(evals): Delete the Phoenix eval runnerJiří Spilka (jirispilka), Engineer at Apify (self-described: Apify MCP server evals), GitHub pull request, published Sep 14, 2026
  43. Comment on: I've operated petabyte-scale ClickHouse clusters for 5 yearsthreecheese, Hacker News commenter (self-described: Local instance on a laptop), Hacker News comment, published Sep 11, 2026
  44. Epic: Explore Langfuse (self-hosted) for LLM engineering & observabilitypkuppens, maintainer of healthcare-aigent (self-described: Five-stage CrewAI clinical pipeline), GitHub issue, published Sep 8, 2026
  45. Cut local stack from ~47 containers to 14; Langfuse → LangSmithTitus Lim, data scientist (self-described: Agent application template), GitHub pull request, published Sep 3, 2026
  46. ADR: record the Langfuse swap-cost decision with a named revisit triggerTheConnMan, maintainer of Curie (self-described: Curie product shipping Langfuse as its trace store), GitHub issue, published Aug 29, 2026
  47. observability: the demo box cannot host self-hosted Langfuse (about 6 CPU and 16 GiB marginal, ClickHouse floor 8 GiB)sakibsadmanshajib, maintainer of hive (self-described: Small shared server for the hive project), GitHub issue, published Aug 29, 2026
  48. Which Bin Goes Out Tonight? Tracing A2A Agents Without Burning Your Free TierHugo Lesta (hugolesta), DevOps engineer, home cluster (self-described: Three-agent A2A bot on a home cluster), dev.to article, published Aug 14, 2026
  49. bug: v4 unified Tracing table cannot display trace total cost - root SPAN rows show $0.00HectorPascual, developer (issue author) (self-described: LangGraph agent in production), GitHub issue, published Aug 13, 2026
  50. feat: self-hosted OTel observability (Phoenix/Langfuse) for multi-agent tracing - not LangSmithAndrew Kaszubski, maintainer of the autonomous-dev Claude Code plugin (self-described: Multi-agent coding harness, local-first), GitHub issue, published Aug 6, 2026
  51. feat(observability): standardise on Phoenix; restore Langfuse v4 as fallbackJordi Martinez, developer (self-described: Own infrastructure, run locally and on an AWS host), GitHub pull request, published Aug 6, 2026
  52. Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing LayerArun Joseph, co-founder & CEO of Masaic, former head of AI engineering at Deutsche Telekom (Enterprise agent platform that exports OpenTelemetry from the collector), Conference talk with transcript, InfoQ Dev Summit Munich 2025, published Aug 3, 2026
  53. Medic for Apache Spark - First Aid for Failing JobsDrasko Profirovic, Staff Engineer, Pinterest (Pinterest's Medic agent, which diagnoses failing Spark jobs through MCP tools over job logs and metrics), Conference talk with transcript, AI Engineer World's Fair 2026, published Jul 20, 2026
  54. Retire Braintrust for Langfusecreatesomethingtoday, CREATE SOMETHING repository owner (pull request author) (self-described: CREATE SOMETHING monorepo: evals, telemetry, prompts and MCP services), GitHub pull request, published Jul 6, 2026
  55. Strands Agents + Langfuse EvaluationsRoger Viñas Alcon, Developer (self-described: Banking assistant agent trial), dev.to article, published Jul 2, 2026
  56. Comment on: AI OSS tool repo goes archived over night after raising $7.3M Seedspmurrayzzz, Hacker News commenter (self-described: Hacker News thread: AI OSS tool repo goes archived over night after raising US$7.3M Seed), Hacker News comment, published Jun 13, 2026
  57. What I learned using Langfuse in a real AI recruiting agentmarginTop15px, Reddit user, r/LLMDevs (self-described: AI recruiting platform with a Clojure backend and a Python agent layer), Reddit post, published Jun 3, 2026
  58. Spent 3 months evaluating Galileo, Arize, Langfuse and LangSmith for production LLM monitoring. Notes for anyone doing the same.Total_Listen_4289, Reddit user, r/LLMDevs (self-described: Small team shipping agents, evaluating observability for production), Reddit post, published May 30, 2026
  59. I ran langfuse, langsmith and helicone in prod for a month and only one of them stuckrafio77, Reddit user, r/LLMDevs (self-described: Production agents, three tools run side by side for a month), Reddit post, published May 20, 2026
  60. LLM Observability with Self-Hosted Langfuse and vLLMVikram Singh, PyImageSearch author (self-described: Tutorial series tracing a local vLLM app), Tutorial blog post, PyImageSearch, published May 18, 2026
  61. Langfuse v3 Self-Hosting - Complete LLM Tracing GuideKim Jangwook, web developer (jangwook.net) (self-described: Two personal and client projects, one on Langfuse Cloud and one self-hosted), Personal blog post, jangwook.net, published May 3, 2026
  62. Prototyping complex LLM agents? DO NOT use LangFuse or LiteLLM - use CLI coding agents or provider-native SDKs.JustZed32, Reddit user, r/LLMDevs (self-described: Coding agent for an enterprise workflow, prototyping stage), Reddit post, published Apr 13, 2026
  63. One Registry to Rule them AllSonny Merla, Global Data Science & AI Manager, Amplifon (Amplifon's AmplifAI program, co-presented with Quantyca engineers who built its MCP and A2A blueprints), Conference talk with transcript, AI Engineer Europe 2026, published Apr 10, 2026
  64. Observability for AI Agents: Tracing Multi-Service LLM Pipelines with LangfuseJames Idzik, Software Engineer at Cresta (self-described: Cresta, AI agents for customer conversations, self-hosted Langfuse per Kubernetes cluster), Engineering blog post (co-written with Langfuse), Cresta engineering blog, published Mar 26, 2026
  65. Allow using metadata fields (e.g. organizationId) as Breakdown Dimension in Dashboard Widgetstjain1511, developer (issue author) (self-described: Multi-tenant product), GitHub issue, published Mar 16, 2026
  66. PSA: Check your Langfuse traces. Their SDK intercepts other tools' traces by default and charges you for them.alxdan, Reddit user, r/LocalLLaMA (self-described: Langfuse v3.12 beside DeepEval in the same process), Reddit post, published Mar 12, 2026
  67. Replace Langfuse with Phoenix, add LiteLLM proxy, add Snowflake Labs MCPMichael Svendsen, developer (self-described: Own self-hosted agent stack with LibreChat and LiteLLM), GitHub pull request, published Mar 4, 2026
  68. Comment on: Ask HN: What is the "Control Plane" for local AI agents?KurSix, Hacker News commenter (self-described: Hacker News thread: Ask HN: What is the "Control Plane" for local AI agents?), Hacker News comment, published Mar 4, 2026
  69. feat(aihub): Replace Arize Phoenix with Langfusemfundn, developer on bbvch-ai's AI Hub (self-described: bbvch-ai AI Hub, agent tracing and datasets), GitHub pull request, published Feb 10, 2026
  70. bug: Filters for traces are not working like expectednzuchna, developer (issue author) (self-described: Self-hosted v3.150.0 with LLM-as-a-judge), GitHub issue, published Feb 4, 2026
  71. Comment on: ClickHouse acquires Langfuseagsqwe, Hacker News commenter (self-described: Hacker News thread: ClickHouse acquires Langfuse), Hacker News comment, published Jan 18, 2026
  72. Comment on: ClickHouse acquires Langfuseaxpy906, Hacker News commenter (self-described: Hacker News thread: ClickHouse acquires Langfuse), Hacker News comment, published Jan 18, 2026
  73. Comment on: ClickHouse acquires Langfuseponywombat, Hacker News commenter (self-described: Hacker News thread: ClickHouse acquires Langfuse), Hacker News comment, published Jan 17, 2026
  74. Comment on: ClickHouse acquires Langfusedandelionv1bes, Hacker News commenter (self-described: Evaluating for a wider recommendation), Hacker News comment, published Jan 17, 2026
  75. Comment on: Cursor's latest "browser experiment" implied success without evidenceRoark66, Hacker News commenter (self-described: Personal LLM proxy), Hacker News comment, published Jan 17, 2026
  76. Comment on: ClickHouse acquires Langfusefloriferous, Hacker News commenter (self-described: Hacker News thread: ClickHouse acquires Langfuse), Hacker News comment, published Jan 17, 2026
  77. Comment on: Langfuse Joins ClickHouseossa-ma, Hacker News commenter (self-described: Hacker News thread: Langfuse Joins ClickHouse), Hacker News comment, published Jan 16, 2026
  78. Comment on: Lightpanda migrate DOM implementation to Zighobofan, Hacker News commenter (self-described: EratoLab, MCP server stack), Hacker News comment, published Jan 12, 2026
  79. Comment on: Ask HN: What agent frameworks are you using, and how well do they work?walpurginacht, Hacker News commenter (self-described: Hacker News thread: Ask HN: What agent frameworks are you using, and how well do they work?), Hacker News comment, published Dec 17, 2025
  80. Any langfuse user that could help mePast-Today-2642, Reddit user, r/LLMDevs (self-described: LLM-as-a-judge evaluator on existing traces), Reddit post, published Dec 17, 2025
  81. bug: Experiments and Evaluators fail to parse Anthropic "thinking" block from reasoning modelsabhidadhaniya23, developer (issue author) (self-described: Experiments with Anthropic models), GitHub issue, published Dec 13, 2025
  82. Langfuse multi-step traces?Repulsive-Memory-298, Reddit user, r/LLMDevs (self-described: Agent with multi-step traces grouped by trace ID), Reddit post, published Nov 20, 2025
  83. Langfuse vs. MLflowmnze_brngo_7325, Reddit user, r/LLMDevs (self-described: pydantic-ai agents, self-hosted open-source tools only), Reddit post, published Nov 13, 2025
  84. bug: Incompatibility with Python 3.14corrylc, developer (issue author) (self-described: GitHub repository langfuse/langfuse), GitHub issue, published Oct 8, 2025
  85. Comment on: LLM Observability in the Wild, Why OpenTelemetry Should Be the Standard7thpower, Hacker News commenter (self-described: Hacker News thread: LLM Observability in the Wild, Why OpenTelemetry Should Be the Standard), Hacker News comment, published Sep 30, 2025
  86. Comment on: LLM Observability in the Wild, Why OpenTelemetry Should Be the Standardjkisiel, Hacker News commenter (self-described: Small startup), Hacker News comment, published Sep 28, 2025
  87. LLM Observability: Debugging My Journaling AgentMargarita Sliachina, Data scientist (self-described: AI journaling assistant side project), dev.to article, published Sep 20, 2025
  88. Comment on: Building your own CLI coding agent with Pydantic-AIbluecoconut, Hacker News commenter (self-described: Hacker News thread: Building your own CLI coding agent with Pydantic-AI), Hacker News comment, published Aug 28, 2025
  89. Comment on: It is worth it to buy the fast CPUscreye, Hacker News commenter (self-described: Local agent development), Hacker News comment, published Aug 24, 2025
  90. Comment on: Open SWE by LangChainNeutralCrane, Hacker News commenter (self-described: Hacker News thread: Open SWE by LangChain), Hacker News comment, published Aug 11, 2025
  91. bug(python-sdk): Using @observe with FastAPI StreamingResponse breaks everything up into separate traces.willriley, developer (issue author) (self-described: Self-hosted, FastAPI app), GitHub issue, published Jul 30, 2025
  92. Langfuse Data retention: self Hostednomo-fomo, Reddit user, r/LangChain (self-described: Self-hosted Langfuse community edition), Reddit post, published Jul 28, 2025
  93. Setting up a local Langfuse server with Kubernetes to trace Agentic systemsJetze Schuurmans, Machine Learning Engineer, Xebia (self-described: Xebia team's local GPU cluster for sensitive LLM applications), Engineering blog post, Xebia blog, published Jul 9, 2025
  94. Comment on: Show HN: HomeBrew HN, Generate personal context for content rankingazath92, Hacker News commenter (self-described: Small team, side project), Hacker News comment, published Jul 3, 2025
  95. Review of LangSmith by Kyle RushKyle Rush, Maker of Astrid: Personal Shopping Agent (self-described: Astrid shopping agent team), Product Hunt review, published Jun 22, 2025
  96. Comment on: Building Effective AI Agentssuninsight, Hacker News commenter (self-described: NonBioS, AI engineering agent), Hacker News comment, published Jun 19, 2025
  97. Add support for conditional rendering in prompt managementharrygao56, developer (issue author) (self-described: Prompts with conditional instructions), GitHub issue, published May 19, 2025
  98. Comment on: Gemini 2.5 Pro Previewsimple10, Hacker News commenter (self-described: Local LLM proxy for coding tools), Hacker News comment, published May 6, 2025
  99. Languse V3 Clickhouse Cpu Consumptionbenm5678, developer (issue author) (self-described: Team running Langfuse locally for developers), GitHub issue, published Apr 23, 2025
  100. Voice AI: Your Bot Isn't SpecialNik Caryotakis, Staff Software Engineer, SuperDial (SuperDial voice agents that place long healthcare phone calls, with a TensorZero gateway in front of the models), Conference talk with transcript, AI Engineer Summit 2025, published Apr 18, 2025
  101. The NonBioS LLM Observability PickAmit, NonBioS author (self-described: NonBioS AI engineer product), Company blog post, NonBioS blog, published Mar 5, 2025
  102. bug: Clickhouse Migration Failure After Version v3.28.2tubone24, developer (issue author) (self-described: Self-hosted upgrade), GitHub issue, published Feb 16, 2025
  103. Scaling AI in Education: A Khanmigo case studyShawn Jansepar, Director of AI and Learning, Khan Academy (self-described) (Khanmigo AI tutor, where an AI platform team owns the developer experience for product teams), Conference talk with transcript, AI Engineer World's Fair 2024, published Feb 5, 2025

Feb 2025 to Oct 2026.

88 sources from practitioners, by month and sentiment.

The full readExplore all Langfuse Signals5 praise themes, 5 concerns, 4 points of agreement and 2 disagreements across all three groups, with all 103 sources open to inspect.

Where It Fits

Where does Langfuse belong in the stack?

Langfuse is Core across Evaluate and Operate and touches Model, Build, and Data.

Business area
Product & Engineering
Function
Software Development
Operating stack
AI Application Platform
Primary role
Open-Source LLM Tracing, Evaluation & Prompt Management
Langfuse beside the rest of its stackThe Stack Field, every product on every layer
FootprintLangfuse across the AI Application Platform stack. Bar height is its role on each layer.
  1. Model

    1. Model APIs: Touches

      Model APIs, touches. Langfuse records application calls to OpenAI, Anthropic, Google, Bedrock, and other providers, including token usage and cost. It supplies no models.

    2. Model gateway: Touches

      Model gateway, touches. Gateways such as LiteLLM, OpenRouter, and Portkey send traces to Langfuse. They route model traffic. Langfuse's Playground and LLM judges call providers through your configured LLM connections.

  2. Build

    1. Orchestration: Touches

      Orchestration, touches. Langfuse traces agents through native integrations or OpenTelemetry and builds agent graphs from their traces. Supported frameworks include LangGraph, the OpenAI Agents SDK, Pydantic AI, the Vercel AI SDK, and CrewAI. Those frameworks run the agents.

    2. Tool use: Touches

      Tool use, touches. Langfuse records tool and MCP calls. Its MCP server and CLI let coding agents read traces and prompts, plus datasets. The agent runtime executes tools.

  3. Data

    1. Retrieval: Touches

      Retrieval, touches. Langfuse records retrieval steps and latency. Evaluators score whether answers follow retrieved context. Your application embeds and indexes its documents and stores them elsewhere.

  4. Evaluate

    1. Evaluation: Core

      Evaluation, core. Langfuse measures changes to prompts, models, or code before and after release through dataset experiments in the UI, SDK, or CI. It supports LLM judges and code or decision-model evaluators, plus annotation queues and score analytics.

  5. Operate

    1. Observability: Core

      Observability, core. Langfuse traces apps and agents through Python and JS/TS SDKs, native integrations, or OpenTelemetry. Cloud and self-hosted versions track sessions and users, plus tokens and costs, with dashboards, monitors, and alerts.

    2. Cloud deployment: Touches

      Cloud deployment, touches. Langfuse Cloud runs on AWS and ClickHouse Cloud. Self-host through Docker Compose, a Helm chart, or Terraform modules for AWS, Azure, and GCP. Your models and agents run elsewhere.

    3. Guardrails: Touches

      Guardrails, touches. Langfuse traces and evaluates security checks from libraries such as LLM Guard, NeMo Guardrails, and Lakera. Those external libraries perform runtime screening and blocking.

Market mapThe layers Langfuse covers, and who else owns each one.

  1. Evaluation & testing

    CoreEvaluate

  2. Observability & tracing

    CoreOperate

  3. Model APIs

    TouchesModel

  4. Model gateways & routing

    TouchesModel

  5. Orchestration & agent frameworks

    TouchesBuild

4 more layers on the full map. Core, Supports and Touches describe coverage. They say nothing about quality.

More on Langfuse

  1. GILD ReviewGILD's evaluation, with the buying facts
  2. Research2 pieces
  3. Guides4 guides
  4. Operator Insights17 operator accounts
  5. Where It FitsOn the AI Application Platform stack
  6. Related Products7 products