Match the project to your task before installing it.
Self-hosted AI Workspace · Public
opik
Self-hosted LLM web UI covering Docker deployment, auth, model backends, OAI/Ollama endpoints, and reverse proxy checks.
Self-hosted LLMDocker deploymentModel backendsAuth configurationOAI/Ollama
Best fitDevelopers or small teams that need a self-hosted AI chat interface and can maintain Docker, storage, auth, model backends, and reverse proxy settings.
Check whether this project matches your task before installing it.
What it can doSelf-hosting deployment checks, Docker volume review, auth configuration checks, OAI/Ollama endpoint validation, and recovery guidanceReview the portable capability path.
Before continuingVerify in a sandboxDo not treat a preview pack as a proven local install.
GitHub snapshot20k stars1.5k forks · 132 contributors
Doramagic.ai Last verification date: 2026-06-21 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.
Publication status · 2026-06-21
What is opik?
- opik is a self-hosted LLM web UI for running model backends, knowledge features, user management, and chat access in your own environment.
- Best fit: Developers or small teams that need a self-hosted AI chat interface and can maintain Docker, storage, auth, model backends, and reverse proxy settings.
- Not for: Not for users who only need a single model API call or do not want to maintain containers, auth, networking, or service configuration.
- Capability added to an AI workflow: Self-hosting deployment checks, Docker volume review, auth configuration checks, OAI/Ollama endpoint validation, and recovery guidance
- First safe verification step: Verify Docker volumes, auth settings, OAI/Ollama endpoints, and rollback in an isolated environment first.
- Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
- Top risk: May increase setup, validation, or first-run risk for the user.
- Evidence base: https://github.com/comet-ml/opik, https://github.com/comet-ml/opik#readme, Human Manual, Pitfall Log
01
Quick decision
Use this section to decide whether the project is worth a deeper read.Self-hosted LLM web UI covering Docker deployment, auth, model backends, OAI/Ollama endpoints, and reverse proxy checks.
20k stars · 1.5k forks
02
What it can do
Translate the upstream project into concrete capabilities the user can judge before installing.What is Opik? Platform Overview and Key Capabilities
Related topics: System Architecture and Repository Layout, Deployment, Self-Hosting, and Operations
Source: https://github.com/comet-ml/opik / Human Manual
System Architecture and Repository Layout
Related topics: What is Opik? Platform Overview and Key Capabilities, Tracing, Spans, and Framework Integrations, Frontend Application (React/TypeScript)
Source: https://github.com/comet-ml/opik / Human Manual
Tracing, Spans, and Framework Integrations
Related topics: System Architecture and Repository Layout, Evaluation, Datasets, Experiments, and LLM-as-Judge, Authentication, Authorization, and Workspaces
Source: https://github.com/comet-ml/opik / Human Manual
Evaluation, Datasets, Experiments, and LLM-as-Judge
Related topics: Tracing, Spans, and Framework Integrations, Agent and Prompt Optimization (Opik Optimizer), Frontend Application (React/TypeScript)
Source: https://github.com/comet-ml/opik / Human Manual
Agent and Prompt Optimization (Opik Optimizer)
Related topics: Evaluation, Datasets, Experiments, and LLM-as-Judge, Frontend Application (React/TypeScript)
Source: https://github.com/comet-ml/opik / Human Manual
Sources: https://github.com/comet-ml/opik, Human Manual, Project Pack evidence, and downstream validation signals.
03
Community Discussion Evidence
Project-level external discussion stays visible on the detail page, not only inside the manual.Community Discussion Evidence
11 source-linked itemsReview these external discussions before using opik with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.
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2.0.73
github / github_release
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2.0.72
github / github_release
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2.0.71
github / github_release
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2.0.70
github / github_release
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2.0.69
github / github_release
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2.0.68
github / github_release
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2.0.67
github / github_release
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2.0.66
github / github_release
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2.0.65
github / github_release
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2.0.64
github / github_release
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Capability evidence risk requires verification
GitHub / issue
04
How to start
Only source-backed commands are shown here. Verify them in an isolated environment first.Try the prompt first
Test the workflow without installing the upstream project.
previewRead the Human Manual
Understand inputs, outputs, limits, and failure modes.
manualTake context to your AI host
Use the compiled assets in your preferred AI environment.
contextRun sandbox verification
Confirm install commands and rollback before using a primary environment.
verifypip install opikOfficial start command · https://github.com/comet-ml/opik#readme · verified: yes
05
Human Manual
The English page must expose the real manual, not a short placeholder.8+ sections · Human Manual
opik Manual
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Open the full manual- https://github.com/comet-ml/opik Project Manual
- Table of Contents
- What is Opik? Platform Overview and Key Capabilities
- Related Pages
- 1. Platform Purpose and Scope
- 2. Core Capabilities
- 2.1 Tracing and Observability
- 2.2 Evaluation
What is Opik? Platform Overview and Key Capabilities
Related topics: System Architecture and Repository Layout, Deployment, Self-Hosting, and Operations
Source: https://github.com/comet-ml/opik / Human Manual
System Architecture and Repository Layout
Related topics: What is Opik? Platform Overview and Key Capabilities, Tracing, Spans, and Framework Integrations, Frontend Application (React/TypeScript)
Source: https://github.com/comet-ml/opik / Human Manual
Tracing, Spans, and Framework Integrations
Related topics: System Architecture and Repository Layout, Evaluation, Datasets, Experiments, and LLM-as-Judge, Authentication, Authorization, and Workspaces
Source: https://github.com/comet-ml/opik / Human Manual
Evaluation, Datasets, Experiments, and LLM-as-Judge
Related topics: Tracing, Spans, and Framework Integrations, Agent and Prompt Optimization (Opik Optimizer), Frontend Application (React/TypeScript)
Source: https://github.com/comet-ml/opik / Human Manual
Agent and Prompt Optimization (Opik Optimizer)
Related topics: Evaluation, Datasets, Experiments, and LLM-as-Judge, Frontend Application (React/TypeScript)
Source: https://github.com/comet-ml/opik / Human Manual
06
AI Context Pack and portable assets
After deciding to continue, take the project context into your own AI host.Complete pack plus user-owned assets
These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.
07
Preflight checks
Treat this page as a planning asset, not proof that your local environment is ready.- The manual is generated from source-linked project files and Doramagic validation signals.
- Community evidence warnings stay visible instead of being converted into marketing claims.
- This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
- Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.
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Pitfall Log and verification risks
Doramagic surfaces high-risk items before users treat a candidate capability as verified.Capability evidence risk requires verification
May increase setup, validation, or first-run risk for the user.
Maintenance risk requires verification
May increase setup, validation, or first-run risk for the user.
Security or permission risk requires verification
May increase setup, validation, or first-run risk for the user.
Security or permission risk requires verification
May increase setup, validation, or first-run risk for the user.
Maintenance risk requires verification
May increase setup, validation, or first-run risk for the user.
Maintenance risk requires verification
May increase setup, validation, or first-run risk for the user.