Opik
Also known as: Comet Opik, Opik by Comet
Open source LLM and agent observability and evaluation platform from Comet, with tracing, LLM as a judge metrics, guardrails, and an agent optimizer.
Opik, built by Comet, is an open source platform for tracing, evaluating, monitoring and optimizing LLM applications, RAG systems and agents. The open source build shares its codebase with the hosted versions, so teams can run it themselves or use Opik Cloud.
Opik traces every step of an application, from context retrieval to model responses and tool calls, with agent execution graphs, sessions for multi-turn conversations, token and cost tracking, and integrations with more than 40 frameworks, model providers and gateways, plus OpenTelemetry for other languages.
Evaluation runs through test suites with pass or fail assertions, experiments over datasets with more than 30 built-in and custom metrics, annotation queues for expert review, and online evaluation rules that score production traces automatically; alerts send webhooks on errors, feedback and prompt changes.
The Agent Optimizer tunes prompts, tools and parameters with several algorithms, and guardrails run inline to stop or alter unsafe responses, with PII, topic, prompt injection, LLM-judge and custom classifier guards grouped into policies.
Ollie, Opik's built-in assistant, reads traces, builds test suites and proposes fixes, and through Opik Connect can edit the customer's agent code with approval and rerun it; Diagnostics uses Ollie to scan traces for recurring issues. A Gateway, provider settings and versioned agent configuration keep model choice in the customer's hands, and a REST API, Python and TypeScript SDKs and an MCP server make it scriptable.
The Enterprise plan adds flexible deployments, SSO over OAuth 2.0, SAML and LDAP, custom roles, service accounts, and SOC 2, ISO 27001, ISO 9001, HIPAA and GDPR compliance. The open source build and Free Cloud are free, Pro Cloud is $19 a month with span-based overage, and Enterprise is custom.
Vendor details
Canonical URL
https://www.comet.com/site/products/opik/
Category
Agent infrastructure
Subcategory
Observability and evaluation
Funding status
Built by Comet, an independent AI developer platform company. Opik is Apache 2.0 open source and one of the fastest growing projects in its space, passing twelve thousand GitHub stars within its first year. Managed cloud and self hosted deployment are both available.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
More than sixty integrations including OpenAI, Anthropic, LangChain, LangGraph, CrewAI, LlamaIndex, DSPy, and LiteLLM, plus low code platforms like Dify and Flowise. Exposes an SDK, an API, and a custom query language for trace data, with a LiteLLM callback for one line logging.
In practice
Your agent makes many LLM and tool calls and failures are hard to reproduce. You add Opik with a few lines, get structured traces of every step with cost and latency, and drill into the exact prompt that failed.
You want repeatable quality checks in CI. Opik gives more than thirty built in metrics, LLM as a judge, and test suites built from real production failures, so every change runs against your criteria.
Compliance requires self hosting and PII protection. You run the Apache 2.0 build on your own Kubernetes, and Opik Guardrails redact PII and block risky topics in production.
Sources & related URLs
Agentic Index coverage score
9.0 / 14 capabilities · 64%
| Integrations & Tool Calling | Partial |
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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 | Not documented |
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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. No workflows that sequence, branch or retry steps, or combine deterministic nodes with agent steps, are documented as something Opik runs. SourceComet, comet.com/docs/opik/llms.txt (development overview, agent playground) and comet.com/site/pricingread 2026-09-21 |
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| Knowledge Grounding & RAG | Not documented |
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RAG metrics in Opik score retrieval quality; it also traces the context a customer's retrieval returns and generates synthetic examples from traces for datasets. No document ingestion, index, retrieval layer or knowledge API that grounds an agent in company data is documented. SourceComet, comet.com/docs/opik/llms.txt and comet.com/site/pricingread 2026-09-21 |
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| Human Oversight & Guardrails | Full |
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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 | Full |
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The Enterprise plan lists 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; the documentation covers SAML, OIDC and JWT authentication and workspace roles and permissions, and the product page 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 | Full |
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Opik traces every step of an application's execution, 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 the product page 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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| Memory & State Persistence | Not documented |
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The customer's traces, sessions and threads are recorded, datasets and prompts are versioned, and an offline fallback replays tracing messages after an outage. No session, workflow or long-term memory that an agent reads and writes is documented. SourceComet, comet.com/docs/opik/llms.txt (tracing concepts, offline fallback) and comet.com/site/pricingread 2026-09-21 |
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| Deployment & Data Residency | Full |
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Opik is open source and 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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| Prebuilt Agents, Templates & Packs | Partial |
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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 buyer selects among. SourceComet, comet.com/docs/opik/llms.txt (Ollie, diagnostics) and comet.com/site/pricingread 2026-09-21 |
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| Triggers & Channel Coverage | Full |
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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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| Model Flexibility & Routing | Full |
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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 | Full |
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Opik publishes a REST API with an OpenAPI specification and a complete Python client that work against both the open source platform and Opik Cloud, 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 | Full |
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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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| Browser & Computer Use | Not documented |
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The documentation and plan comparison cover tracing, evaluation, optimization, guardrails and administration, and no browser, desktop or computer control by an agent is documented; 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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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Opik added support for evaluating multimodal prompts that combine text and images. Teams can now execute structured experiments on multimodal traces directly from the UI or via the Python SDK, with the system automatically identifying vision-capable models using LiteLLM-style identifiers.
Bears on: Observability / auditability
View sourcePricing
Open source free · Free Cloud · Pro $19/mo · Enterprise custom
Monthly plan fee plus spans beyond the included amount; Ollie coding harness usage bought as tokens after a free trial
Included quota
The full open source feature set is free with no markup and self hosts via Docker or Kubernetes. A free managed cloud tier covers most development and testing. Paid Opik Pro and Enterprise cloud plans raise usage limits and data retention and add identity management, compliance, and support; all plans include unlimited team members and the full observability and evaluation feature set.
What is public
The open source Apache 2.0 build and the free cloud tier are clearly free with the full feature set. Pro and Enterprise cloud rates are described by what they add (limits, retention, identity, support) rather than a single published price.
Billing mechanics
Open source and free cloud tiers carry the full feature set. Paid cloud tiers meter on spans, a span being a structured input output unit such as an LLM call or tool call, with higher limits, longer retention, and enterprise identity and support at the top.
Cost watchouts
Spans past the included amount on Pro cost $5 per 100k, a single agent interaction can emit many spans, and Ollie's coding harness moves to purchased tokens after its trial; guardrails are listed for self-hosted deployment only.
Variable cost rationale
The open source build and Free Cloud cost nothing from the vendor; Pro adds a low fixed fee with span overage that scales with traffic, and Ollie's coding harness is metered in purchased tokens.
Overage / add-ons
Cloud plans meter on spans against tier limits; the open source build has no vendor metering beyond your own infrastructure.
Sales call required
Mixed (some tiers require a call)
Free / trial
Open source free to self host; Free Cloud plan (up to 10 members, 25k spans a month, 60-day retention); free trial of Pro Cloud
Lowest paid plan
Pro Cloud at $19 a month
Commercial notes
Opik is Comet's open source platform for agent tracing, evaluation and optimization; the open source build shares its codebase with the hosted versions, and the cloud plans add hosting, higher limits and enterprise controls.
Key ambiguities
Enterprise pricing is not published, and the token price for Ollie's coding harness is not stated on the pricing page.
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Alternatives to Opik
The closest documented capability profiles to Opik among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- F5 AI Guardrails9.0 / 14Matches Opik across all 14 documented capabilities
- Galileo9.0 / 14Matches Opik across all 14 documented capabilities
- W&B Weave9.0 / 14Matches Opik across all 14 documented capabilities
- Confident AI8.5 / 14A lighter documented profile than Opik
- Fiddler AI8.5 / 14A lighter documented profile than Opik
- HoneyHive8.5 / 14A lighter documented profile than Opik
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded