Compare
Langfuse vs LLM Context
Offers observability and analytics for LLM apps, not context copying.
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LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️
LLM ContextPaste ✂️ 📋 your source code into o1, nemotron, gemini-1.5, claude 3.5 project, gpt-4o canvasWhich to pick
Pick Langfuse if you want…
- LLM observability & analytics
- LLM app monitoring
- Integrations with Python, TypeScript or Go (on Langfuse's list, not LLM Context's)
Pick LLM Context if you want…
- Quick clipboard sharing of code context
- A free, open-source tool
- Integrations with Claude, GPT or o1-mini (on LLM Context's list, not Langfuse's)
Side by side
- What it is
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- LLM Context:LLM Context is a CLI tool that copies selected project files to the clipboard for pasting into web-based LLM chat interfaces.
- Best for
- Langfuse:LLM observability & analytics
- LLM Context:Quick clipboard sharing of code context
- Who it’s for
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- LLM Context:Developers who use web chat interfaces for AI-assisted coding.
- Pricing
- Langfuse:Freemium
- LLM Context:Open source
- Plans
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- LLM Context:—
- Open source
- Langfuse:Yes, 35,097 GitHub stars
- LLM Context:Yes, 308 GitHub stars
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- LLM Context:Claude, GPT, o1-mini, web-based chat interfaces
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
LLM Context features
- Smart file selection. Chooses files respecting .gitignore patterns to include relevant code only.
- Rapid context updates. Updates the clipboard with new project context in a few keystrokes per chat session.
- Clipboard integration. Automatically copies selected content so it can be pasted into any web LLM chat.
- Multi-LLM support. Works with Claude, GPT, o1-mini and other chat models.
- Prompt customization. Allows users to edit the prompt that accompanies the shared context.
- Transparency control. Shows exactly what will be sent to the AI before copying.
Langfuse vs LLM Context FAQ
Is Langfuse or LLM Context free?+
Langfuse has a free plan (Hobby); paid plans start at $29/month (Core). LLM Context is free and open source.
Which is cheaper, Langfuse or LLM Context?+
LLM Context is free, so it costs less. Langfuse starts at $29/month (Core).
Is Langfuse or LLM Context open source?+
Yes, both are open source: Langfuse (langfuse/langfuse on GitHub) and LLM Context (cyberchitta/llm-context.py on GitHub, Apache-2.0 license).
Do Langfuse and LLM Context integrate with the same tools?+
Their integration lists don't overlap: Langfuse lists Python, TypeScript, Go, Java and 10 more; LLM Context lists Claude, GPT, o1-mini and web-based chat interfaces.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.