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Langfuse
langfuse.comSummary
Langfuse is an open-source LLM engineering platform designed for debugging, analyzing, and iterating on LLM applications. It offers comprehensive tracing, prompt management, and evaluation tools, along with various SDKs and integrations for popular LLM frameworks. The platform supports both cloud-hosted and self-hosted deployments, catering to individual developers and enterprises.
Feature Matches5/13
See all5/13
Must Have
3 of 5
API Access
Fine-Tuning & Custom Models
Enterprise Solutions
Conversational AI
Safety & Alignment Framework
Other
2 of 8
Multimodal AI
Security & Red Teaming
Image Generation
Code Generation
Research & Publications
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allTiered
Hobby
$0.00 monthly
- All platform features (with limits)
- 50k units / month included
- 30 days data access
- 2 users
- Community support (Discord & GitHub)
- 50k units / month
- 30 days data access
- 2 users
- Community support only
Core
$59.00 monthly
- Everything in Hobby
- 100k units / month included, additional: Graduated pricing: $8-6/100k units (pricing calculator)
- 90 days data access
- Unlimited users
- Unlimited evaluators
- Support via Email/Chat
- 100k units / month included, additional: Graduated pricing: $8-6/100k units (pricing calculator)
- 90 days data access
Pro
$199.00 monthly
- Everything in Core
- 100k units / month included, additional: Graduated pricing: $8-6/100k units (pricing calculator)
- Unlimited data access
- Unlimited annotation queues
- High rate limits
- SOC2 & ISO27001 reports, BAA available (HIPAA)
- Support via Slack
- 100k units / month included, additional: Graduated pricing: $8-6/100k units (pricing calculator)
Enterprise
Custom
- Everything in Team
- Custom rate limits
- Uptime SLA
- Support SLA
- Custom Terms & DPA
- Dedicated support engineer
- Architecture reviews
- Billing via AWS Marketplace
- Custom
Rationale
Langfuse is an open-source LLM engineering platform that offers observability, analytics, and experimentation features. It provides API access through various SDKs (Python, JS/TS) and integrations with popular LLM frameworks like OpenAI SDK, Langchain, and LlamaIndex. While it doesn't directly offer conversational AI models, it supports tracing and evaluation for conversational AI applications. The platform includes features for fine-tuning and custom models through its evaluation and dataset management capabilities, allowing users to test and iterate on prompt versions and model configurations. Enterprise solutions are clearly outlined in their pricing, including features like SSO, RBAC, and dedicated support. Langfuse also supports multi-modality and attachments in its tracing features, indicating multimodal AI capabilities. Furthermore, it has a dedicated 'LLM Security' section and offers security and compliance features like SOC2 Type II and ISO27001 reports, aligning with safety and red teaming aspects.
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Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
It handles edge cases much better and the API is actually documented properly.
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[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Oct 14·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Oct 11·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.