--- date: 2024-09-23 title: Documentation now integrates with GitHub Discussions (Support and Feature Requests) seoTitle: "Docs Now Integrate GitHub Discussions" description: See previews of all commonly asked questions and feature requests for each page across the Langfuse documentation. author: Marc ogImage: /images/changelog/2024-09-23-github-discussion-across-documentation.jpg showOgInHeader: false --- > **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the current documentation (https://langfuse.com/docs) and the API/SDK reference (https://api.reference.langfuse.com). _Preview of widget that's included at the bottom of many documentation pages_ [GitHub Discussions](https://github.com/orgs/langfuse/discussions) has long been the best place to ask questions and provide feedback about Langfuse. It has helped scale support and foster collaboration on new features. However, finding relevant discussions has been challenging, especially for those interested in specific topics or features. We have now added a preview of all relevant GitHub discussion posts to many pages[1] in the Langfuse Documentation, this is based on the labels that are set on the discussion posts. We will continue to roll this out to more pages over the next few weeks. We were inspired by the PostHog documentation, which features a similar widget for discovering answers to common questions and voting on roadmap items. Instead of creating our own discussion forum though, we chose to just index GitHub Discussions, as it is already well established in the Langfuse community. Let us know what you think! [1] Examples: [Roadmap](/docs/roadmap), [LLM Playground](/docs/playground), [Prompt Management](/docs/prompts), [Decorator-based integration for Python](/docs/sdk/python/decorators), [Langchain Integration](/integrations/frameworks/langchain), [Integration Overview](/integrations) ## Learn more - [Documentation](/docs) --- ## 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/changelog/2024-09-23-github-discussion-across-documentation.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. Found an error in these docs? Please open an issue at .