--- title: Langfuse for Research & Education description: Generous benefits for Academic, Researchers, Students and Teachers. --- # Langfuse for Research & Education Robust LLM research should not be gated by infrastructure cost. Langfuse delivers end‑to‑end observability and evaluation for language‑model systems, in **open-source** and with **generous academic benefits**. Langfuse scales from coursework to large‑scale experiments. ## Offer Overview > **TLDR;** Langfuse has a generous free offering to get you started. Beyond this, the US $200 monthly fast grant covers the entire Core Plan base fee plus additional usage. Approved research grants can lift limits entirely. ### 1. Free Plan & OSS **Who it's for:** Anyone, no verification needed **Benefits:** - Langfuse Cloud **Free Plan** | 50k usage units / month - Self‑host: Unlimited use of MIT‑licensed open‑source **How to start:** [Sign up to Langfuse Cloud](/cloud) or [deploy via Docker/Kubernetes](/self-hosting) --- ### 2. Langfuse Fast Grant _Most Popular_ **Who it's for:** Self certified: Researcher, Academic, Student, Teacher **Benefits:** - **US $200 monthly credit** towards any Cloud plan - Unlimited collaborators - [Request a Fast Grant](https://forms.gle/GLwLmS8X4Vy1dLxJ6) --- ### 3. Langfuse Research Grant **Who it's for:** University labs, large thesis or teaching projects, student teams needing more **Benefits:** - Larger Cloud credit allotments (up to 100% granted) **How to start:** Email research@langfuse.com with your academic address. --- ## Why Langfuse? - **Open Source, MIT‑licensed** – inspect, extend, and cite confidently. - **Deep Ecosystem Integrations** – LangChain, LlamaIndex, OpenAI, DSpy, Ollama, Hugging Face and more. - **Reproducibility** – deterministic trace storage, versioned prompt experiments, and built‑in dataset snapshots. - **Flexible Deployment** – fully‑managed Cloud, dedicated VPC, or self‑hosted Kubernetes/Helm chart. --- ## Eligibility 1. You are enrolled, employed, or formally affiliated with an accredited academic or research institution **or** your work is intended for peer‑review publication. 2. The workload is non‑commercial. (Spin‑outs and start‑ups should see the [Startups Program](/startups).) There is **no funding cap**: grant‑funded or industry‑sponsored research is eligible. --- ## How to Activate ### Free Plan & OSS - **Cloud**: Create a workspace on Langfuse Cloud and stay on the Free tier. - **Self‑host**: `docker compose up` or apply the Helm chart/Terraform from GitHub—no licence key required. ### Self‑serve Academic Credit (Langfuse Fast Grant) 1. Sign up to Langfuse Cloud with your academic address. 2. Fill out this form: https://forms.gle/GLwLmS8X4Vy1dLxJ6 3. You will receive a Coupon Code if you meet eligibility criteria. 4. Apply the Coupon Code when you upgrade to Core/Pro from your Langfuse Account. ### Research Grant Application 1. Send an email with your project/proposal to research@langfuse.com 2. Our team verifies eligibility (within ~48 h). 3. We email either an expanded Cloud credit code **or** an Enterprise licence key for self‑hosting. --- ## Citing Langfuse in Your Work If Langfuse supported your research, please cite us. Find the Langfuse BibTeX entry below. ```bibtex @misc{langfuse, title = {Langfuse — Open‑Source AI Engineering Platform}, author = {Rawert, Clemens and Klingen, Marc and Deichmann, Maximilian}, year = {2023}, note = {Software available from https://langfuse.com}, url = {https://langfuse.com/} } ``` Share your published paper or pre‑print with **[research@langfuse.com](mailto:research@langfuse.com) or tag @langfuse in your social posts**; we are happy to amplify it. --- ## Become a Campus Ambassador Help peers adopt best‑practice LLM observability: - Lead a workshop or guest lecture using Langfuse dashboards. - Organise a hackathon or reading group on evaluation methods. - Contribute integration examples to our open‑source repository. Interested? Email **[research@langfuse.com](mailto:research@langfuse.com)** with a short proposal. We supply resources, swag, and technical support. --- ## Terms & Fine Print - Credits reset monthly; unused amounts do not roll over. - We may request proof of affiliation and reserve the right to revoke benefits in cases of abuse. - Programme details may evolve, but active grants remain valid for their full term. --- Ready to instrument your next experiment? Sign up to [Langfuse Cloud](/cloud) or [self‑host](/self-hosting) today. --- ## Agent Instructions This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/research.md`. ### Querying these docs If the answer is not on this page, query the documentation instead of guessing: - **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question: ```bash curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?" ``` - **Index of every page**: , with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt). ### Before writing Langfuse code - **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results. - **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application. - **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples. - **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api `) to read or write traces, prompts, datasets, and scores from the terminal. 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