Agentic Index
Langfuse vs Opik (2026)
Langfuse and Opik are the two open source LLM observability platforms teams actually shortlist, and both self host free: Langfuse's MIT core is the adoption leader with a clean cloud ladder (free Hobby at fifty thousand units a month, Core at 29 dollars, Pro at 199 dollars, Enterprise at 2,499 dollars a month, overage at 8 dollars per hundred thousand units), while Opik from Comet ships its full feature set in the Apache 2.0 build with a free managed cloud tier and Pro and Enterprise plans billed on spans, differing mainly in limits, retention, and support. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Choose Langfuse for ecosystem maturity, Opik for the most complete free open source build.
On the Agentic Index agent infrastructure ranking, Langfuse and Opik both clear the bar: each documents all five production contract capabilities in full. 34 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Langfuse and Opik are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Langfuse if
- The largest community and integration ecosystem derisk your observability bet.
- Adoption leadership means more of the engineers you hire will already know it.
- Prompt management plus tracing plus evals in one proven stack is the requirement.
Choose Opik if
- Full features in the open source build with nothing gated is the deciding factor.
- You already use Comet tooling, so Opik extends a familiar stack.
- Span based cloud billing that starts free fits an experimentation phase.
| Feature | L Langfuse |
O Opik |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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LangfuseIntegrations & Tool Calling More than 100 integrations with agent frameworks, model providers and gateways send traces into Langfuse, data exports to PostHog, Mixpanel and blob storage, and prompt changes send notices through webhooks and Slack. These move telemetry in and data out, and there are no connectors that let an agent take authenticated actions in outside systems. SourceLangfuse, langfuse.com homepage and pricingread 2026-09-21 |
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OpikIntegrations & Tool Calling Integrations cover more than 40 AI frameworks, model providers and gateways, including LangChain, OpenAI, Google ADK, LangGraph and CrewAI, and alerts send webhooks out. These bring trace data in and send notifications, and none connects an agent to a business system to take actions. Through Opik Connect, Ollie reads the customer's agent codebase, writes approved fixes to it and reruns the agent from a failing trace. That is the one path that takes action, and it reaches only the local codebase. SourceComet, comet.com/site/pricing and comet.com/docs/opik/llms.txt (Ollie, integrations)read 2026-09-21 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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LangfuseWorkflow Orchestration For agents that run elsewhere, Langfuse provides tracing, evaluation and prompt management, and prompt composability links prompts together. There are no workflows that sequence, branch or retry an agent's steps, or that mix deterministic nodes with agent steps. SourceLangfuse, langfuse.com homepage and pricingread 2026-09-21 |
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OpikWorkflow Orchestration From traces, Opik draws the customer's agent execution graphs, the Agent Playground runs the customer's agent locally while traced, and agent configuration versions prompts, model settings and tool definitions outside the codebase. Opik runs no workflows that sequence, branch or retry steps, or that combine deterministic nodes with agent steps. SourceComet, comet.com/docs/opik/llms.txt (development overview, agent playground) and comet.com/site/pricingread 2026-09-21 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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LangfuseTriggers & Channel Coverage Online evaluation runs LLM as a judge and code evaluators on production observations as they arrive, and monitors and alerts fire on metric and evaluator thresholds. Evaluation work therefore starts from incoming telemetry with no person starting each run, and prompt changes also emit webhooks. SourceLangfuse, langfuse.com homepage and pricingread 2026-09-21 |
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OpikTriggers & Channel Coverage Online evaluation rules score production traces automatically as they are logged, Diagnostics scans a project's traces with Ollie and surfaces recurring agent issues with a root cause and suggested fix, and alerts send webhook notifications on events such as trace errors, new feedback scores and prompt changes. Evaluation and investigation start on incoming traces without a person asking. SourceComet, comet.com/docs/opik/llms.txt (online evaluation rules, diagnostics, alerts) and comet.com/site/pricingread 2026-09-21 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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LangfuseKnowledge Grounding & RAG Traces, prompts and evaluation datasets are stored, but there is no retrieval structure over the customer's documents or knowledge that grounds an agent's answers. Langfuse evaluates the grounding of RAG systems built elsewhere instead of providing one. SourceLangfuse, langfuse.com pricing and llms.txtread 2026-09-21 |
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OpikKnowledge Grounding & RAG RAG metrics in Opik score retrieval quality. Opik also traces the context a customer's retrieval returns and generates synthetic examples from traces for datasets. There is no document ingestion, index, retrieval layer or knowledge API that grounds an agent in company data. SourceComet, comet.com/docs/opik/llms.txt and comet.com/site/pricingread 2026-09-21 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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LangfuseMemory & State Persistence Sessions, users and traces are recorded for inspection, and there is no session, conversation or long term memory that an agent reads back as context. SourceLangfuse, langfuse.com pricing and homepageread 2026-09-21 |
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OpikMemory & State Persistence The customer's traces, sessions and threads are recorded, datasets and prompts are versioned, and an offline fallback replays tracing messages after an outage. There is no session, workflow or long-term memory that an agent reads and writes. SourceComet, comet.com/docs/opik/llms.txt (tracing concepts, offline fallback) and comet.com/site/pricingread 2026-09-21 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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LangfuseHuman Oversight & Guardrails Protected deployment labels restrict who can promote a prompt version to production, and CI checks can require an approved baseline before a change ships, so changes to an agent's behavior pass a release gate that people control. There is no approval step, escalation rule or pause before an agent acts at run time. SourceLangfuse, langfuse.com pricing and llms.txtread 2026-09-21 |
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OpikHuman Oversight & Guardrails Guardrails in Opik run inline with LLM calls on live traffic and can stop or alter a response before it reaches a user, with five guard types (PII, allowed and restricted topics, prompt injection and jailbreak, an LLM-as-a-judge check, and a custom classifier) grouped into named policies that can be enforced workspace-wide, and every run logged as a span. Ollie, Opik's assistant, proposes code edits that a person reviews and approves before anything changes on disk. SourceComet, comet.com/docs/opik/guardrails/overview and comet.com/site/pricing (Ollie, Opik Connect); comet.com/docs/opik/guardrails/overview.mdread 2026-09-21 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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LangfuseSecurity, Identity & Governance Reports for the SOC 2 Type II and ISO 27001 attestations are available from the Pro plan, and there is a region ready for HIPAA and a GDPR DPA. Access control covers RBAC at organization and project level, sign in with Google, Azure AD or GitHub, Enterprise SSO with Okta or Entra ID and SSO enforcement on the Teams add-on, SCIM provisioning, audit logs, data masking on the client side and data retention management. SourceLangfuse, langfuse.com pricing and homepageread 2026-09-21 |
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OpikSecurity, Identity & Governance The Enterprise plan includes enterprise SSO over OAuth 2.0, SAML and LDAP with SSO enforcement, custom role-based access at project and organization level, view-only users, service accounts, and SOC 2, ISO 27001, ISO 9001, HIPAA and GDPR compliance. Opik also supports SAML, OIDC and JWT authentication and workspace roles and permissions, and Comet says Opik produces audit logs for governance teams. SourceComet, comet.com/site/pricing, comet.com/docs/opik/llms.txt (authentication, roles and permissions) and comet.com/site/products/opikread 2026-09-21 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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LangfuseObservability & Auditability Hierarchical traces capture every LLM call, tool invocation and retrieval step of an agent run, so each run's steps and tool calls are visible. They appear as trace trees and agent graphs with session and user tracking, token cost and latency, and can be filtered by user, session, cost, latency or metadata. Audit logs are kept separately on Enterprise, data can be exported in batches or on a schedule to blob storage and to PostHog or Mixpanel, and historical data access runs 30 days on Hobby, 90 days on Core and 3 years on Pro. SourceLangfuse, langfuse.com homepage and pricingread 2026-09-21 |
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OpikObservability & Auditability Every step of an application's execution is traced, from context retrieval to model responses and tool calls, with agent execution graphs, sessions for multi-turn conversations, token and cost tracking and error surfacing. Traces, spans, threads, datasets and experiments export through the SDKs, REST API, UI and command line. Span retention is 60 days on Free and Pro and custom on Enterprise, and Comet says Opik produces audit logs for governance teams. SourceComet, comet.com/site/pricing, comet.com/docs/opik/llms.txt (observability, export data) and comet.com/site/products/opikread 2026-09-21 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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LangfuseDeployment & Data Residency Customers of Langfuse Cloud choose US, EU or JP data regions, and there is a region ready for HIPAA and AWS PrivateLink. The MIT licensed platform self hosts with Docker Compose, Kubernetes via Helm, or Terraform on AWS, GCP and Azure, with paid Enterprise additions for self hosted deployments. SourceLangfuse, langfuse.com pricing, homepage and llms.txtread 2026-09-21 |
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OpikDeployment & Data Residency The open source build can be downloaded, installed and run on the customer's own infrastructure from the same codebase as the hosted versions. Opik Cloud stores data in the US on the Free and Pro plans, and Enterprise offers flexible deployments across cloud, on-premises and fully managed options with a custom data region. SourceComet, comet.com/site/pricingread 2026-09-21 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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LangfusePrebuilt Agents, Templates & Packs The Langfuse Assistant in the app is the one prebuilt agent, and a Langfuse skill packages best practice workflows for instrumentation, prompt management and API access into a customer's coding agent. Beyond those two, there is no set of prebuilt agents or templates for a customer to choose from. SourceLangfuse, langfuse.com llms.txt and pricingread 2026-09-21 |
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OpikPrebuilt Agents, Templates & Packs Opik ships Ollie, a ready-made assistant that reads traces, searches the workspace, builds test suites, proposes fixes and, through Opik Connect, edits and reruns the customer's agent. The same assistant powers Diagnostics, which scans traces for recurring issues. It is one packaged agent with preset uses, not a set of ready-made agents or templates a customer selects among. SourceComet, comet.com/docs/opik/llms.txt (Ollie, diagnostics) and comet.com/site/pricingread 2026-09-21 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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LangfuseModel Flexibility & Routing Customers configure their own LLM connections, which the Playground uses to test prompts on real production inputs and compare models side by side, and which power the LLM-as-a-judge evaluators the customer sets up. The customer brings its own providers and chooses the models Langfuse's own LLM features run on. SourceLangfuse, langfuse.com homepage, pricing and llms.txt (LLM Connections)read 2026-09-21 |
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OpikModel Flexibility & Routing Through its Gateway, Opik gives a consistent API across multiple LLM providers, workspace AI Providers settings configure connections to providers, built-in LLM-as-a-judge metrics can run on a custom model, the Agent Optimizer works with OpenAI, Anthropic, Gemini, Azure and Ollama, and agent configuration keeps model settings outside the codebase, versioned and changeable without redeploying. Model choice stays with the customer, using its own providers. SourceComet, comet.com/docs/opik/llms.txt (Gateway, AI Providers, custom model, configuring LLM providers) and comet.com/site/pricing (agent configuration)read 2026-09-21 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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LangfuseAPIs, SDKs & MCP Extensibility An extensive public API has published rate limits by plan, alongside native Python and TypeScript SDKs, OpenTelemetry ingestion for Java, Go and other languages, a CLI, and a platform MCP server that lets IDE agents manage prompts and query traces. Stable APIs based on IDs manage evaluators, and there is an agent skill. SourceLangfuse, langfuse.com homepage, pricing and llms.txtread 2026-09-21 |
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OpikAPIs, SDKs & MCP Extensibility There is a REST API with an OpenAPI specification and a complete Python client that work against both the open source platform and Opik Cloud, along with Python and TypeScript SDKs, native OpenTelemetry ingestion for other languages, the opik command line, and an MCP server that lets an AI coding assistant instrument code, query traces and manage prompts. SourceComet, comet.com/docs/opik/llms.txt and comet.com/site/pricingread 2026-09-21 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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LangfuseTesting, Debugging & Optimization Evaluation of the customer's application runs online and offline. It covers datasets, experiments from the SDK or UI compared side by side against baselines, LLM as a judge and code evaluators managed by API, custom scores, user feedback and human annotation queues, alerts on evaluator results, and CI checks that block regressions against thresholds and approved baselines. The customer's agent is tested with datasets before production, and output quality is scored over time. SourceLangfuse, langfuse.com llms.txt, homepage and pricingread 2026-09-21 |
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OpikTesting, Debugging & Optimization Test suites run pass or fail assertions at item and suite level with execution policies for how many runs must pass, experiments test an application over datasets with more than 30 built-in and custom LLM-as-a-judge, heuristic and code metrics for single steps, whole agents and full conversations, annotation queues gather expert review, online evaluation scores production traces, and the Agent Optimizer tunes prompts, tools and parameters with several algorithms. SourceComet, comet.com/site/pricing and comet.com/docs/opik/llms.txt (test suites, online evaluation, Agent Optimizer)read 2026-09-21 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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LangfuseBrowser & Computer Use Langfuse observes and evaluates agents, and there is no browser, desktop or computer control by an agent. SourceLangfuse, langfuse.com homepageread 2026-09-21 |
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OpikBrowser & Computer Use Opik covers tracing, evaluation, optimization, guardrails and administration, and there is no browser, desktop or computer control by an agent. The Agent Playground runs the customer's own agent locally with tracing. SourceComet, comet.com/site/pricing and comet.com/docs/opik/llms.txtread 2026-09-21 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | L Langfuse |
O Opik |
|---|---|---|
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Entry price Lowest public entry point |
Free Hobby (50K units/mo) · Core $29/mo · open source self host | Open source free · Free Cloud · Pro $19/mo · Enterprise custom |
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Pricing confidence How public the numbers are |
Public, exact | Public, exact |
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Billing Primary billing axis |
usage | Monthly plan fee plus spans beyond the included amount; Ollie coding harness usage bought as tokens after a free trial |
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Variable cost Workload / overage exposure |
Medium variable cost | Low variable cost |
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Free tier / trial Try before you buy |
Free tier
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Free tierTrial
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Buying motion Self-serve vs sales call |
Self-serve | Mixed |
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