# How to connect Langfuse to Hermes Agent (paste one key, 10 tools) > Connect Langfuse to Hermes with ClawLink: paste your Langfuse key once and 10 tools work from chat. No MCP server to run, nothing stored on your machine. Web version: https://claw-link.dev/hermes/langfuse Most guides for giving Hermes Agent Langfuse access start with registering your own OAuth app or pasting API keys into env files, then leave the token refresh and tool wiring to you. ClawLink gives Hermes a more practical Langfuse setup: pair once in the browser and your always-on Hermes agent can act on Langfuse for you, reading and doing real work on your behalf with no auth, token refresh, or tool wiring to build yourself. ## Setup It takes three steps to connect Hermes to Langfuse. 1. **Install ClawLink** — add the plugin to Hermes Agent once. 2. **Connect Langfuse** — one-click OAuth in the ClawLink dashboard. 3. **Use it from chat** — ask Hermes Agent in plain English. **Paste this into Hermes to set up ClawLink:** > Set up ClawLink for Hermes and tell me when it's ready. > 1. Install the plugin: `hermes plugins install ClawLink-HQ/hermes-plugin --enable` > 2. Start pairing with `hermes clawlink begin`. It prints an approval link, so show me the link and stop, don't wait. > 3. I'll approve it in my browser, then reply "approved". > 4. When I say approved, finish setup: `hermes clawlink finish` > 5. Then run `hermes clawlink test` and tell me whether ClawLink is ready. **Alternative for any agent (no plugin needed):** if the Hermes Agent plugin route isn't available or doesn't work, any AI agent with shell access can use the ClawLink CLI instead: ```bash npx -y @useclawlink/cli login # sign in via browser — no API key to paste npx -y @useclawlink/cli connect langfuse # connect Langfuse (browser OAuth) npx -y @useclawlink/cli actions langfuse # list available actions npx -y @useclawlink/cli run langfuse --input '' # execute (add --confirm for writes) ``` ### Install by command The prompt above walks Hermes through this. By hand, it is four commands and a browser approval: ```bash hermes plugins install ClawLink-HQ/hermes-plugin --enable hermes clawlink begin # prints an approval link — open it and approve hermes clawlink finish # after approving in the browser hermes clawlink test ``` Then connect Langfuse in the [ClawLink dashboard](https://claw-link.dev/dashboard) — paste your Langfuse API key once. Verify the connection by asking Hermes: > Pull the relevant data from Langfuse, summarize it in plain English, and point out anything that needs attention. ### Using a different agent? The Hermes plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI: ```bash npx -y @useclawlink/cli login ``` `login` opens the same browser approval and stores a credential locally. Once Langfuse is connected in the dashboard, that agent calls the same 10 Langfuse tools over MCP. Full setup for MCP clients and shell agents: [connect apps to any AI agent](https://claw-link.dev/learn/connect-apps-to-any-ai-agent). ## Langfuse MCP for Hermes Looking for a Langfuse MCP server for Hermes Agent? ClawLink connects Langfuse to Hermes Agent and exposes 10 Langfuse tools your agent can call over [MCP](https://claw-link.dev/learn/what-is-an-mcp-server), with [hosted auth](https://claw-link.dev/learn/oauth-for-ai-agents) and nothing to run or maintain yourself. Using OpenClaw instead? The [OpenClaw Langfuse integration](https://claw-link.dev/openclaw/langfuse) works the same way. ## What the Hermes Agent Langfuse integration can do 10 Langfuse tools are ready for Hermes Agent once the account is connected. ### All 10 Langfuse tools for Hermes | Tool | What it does | |---|---| | **Get prompt** `langfuse_get_prompt` | Retrieve a Langfuse text or chat prompt by name, deployment label, or exact version, with | | **List annotation queues** `langfuse_list_annotation_queues` | List annotation queues configured for human evaluation in the connected Langfuse project | | **List dataset items** `langfuse_list_dataset_items` | List dataset items, optionally scoped to a dataset, source trace or observation, or historical | | **List datasets** `langfuse_list_datasets` | List datasets available to the connected Langfuse project | | **List experiments** `langfuse_list_experiments` | List Langfuse experiments active in a required time range, optionally including metadata and | | **List models** `langfuse_list_models` | List Langfuse-managed and project-custom model pricing definitions used for usage and cost | | **List observations** `langfuse_list_observations` | Search Langfuse observations such as generations, spans, events, agents, and tool calls | | **List scores** `langfuse_list_scores` | Search numeric, boolean, categorical, text, and correction scores with subject and annotation | | **Query metrics** `langfuse_query_metrics` | Run an aggregate Langfuse metrics query over observations or numeric, boolean, or categorical | | **Create score** `langfuse_create_score` | Attach an evaluation score to exactly one Langfuse trace, session, or dataset run, optionally | ## Example prompts **Get Prompt** > Pull the relevant data from Langfuse, summarize it in plain English, and point out anything that needs attention. **List Annotation Queues** > List the relevant items in Langfuse, group them by priority, and recommend what Hermes should do next. **List Dataset Items** > List the relevant items in Langfuse, group them by priority, and recommend what Hermes should do next. **List Datasets** > List the relevant items in Langfuse, group them by priority, and recommend what Hermes should do next. ## ClawLink vs. building it yourself The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for Hermes Agent. That is fine if you want to build and maintain the integration yourself. Most teams just want Langfuse working from chat. | | Manual | ClawLink | |---|---|---| | **Credential handling** | Collect, validate, store, and rotate the Langfuse API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected Langfuse account becomes available to the agent without you building credential management. | | **Ongoing maintenance** | You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Langfuse. | ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure. | | **Agent usability** | You still need to expose the right Langfuse actions to the runtime in a format your agent can reliably use. | 10 tools for Langfuse are already exposed through ClawLink, so the agent can read and act from chat immediately. | ## ClawLink vs. Composio Composio also exposes Langfuse to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for Hermes Agent users instead. You install the plugin once, connect Langfuse in the browser, and the 10 tools above work from chat. There is no SDK and no config file, and the Langfuse key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full [Composio alternatives](https://claw-link.dev/hub/composio-alternatives) comparison. ### Hermes paired but still can't use Langfuse Pairing is a two-step handshake: run `hermes clawlink begin`, approve the link in your browser, then run `hermes clawlink finish`. If you ran finish before approving, or the approval link expired, run `hermes clawlink begin` again to get a fresh link. Confirm the plugin was installed with `--enable`, then verify with `hermes clawlink test`. ### Connection succeeds but no tools appear Reconnect Langfuse from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded. ### "Tool schema not loaded yet" error when calling Langfuse tools Langfuse tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Langfuse call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again. ### Langfuse returns 403 or "permission denied" on one action while others work Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs. ### API key setup works but results look incomplete Double-check that the API key for Langfuse has the right scopes or account access. A valid key can still be too limited for some reads or writes. ### Is there a Hermes Agent Langfuse integration? Yes. ClawLink is the fastest way to connect Hermes to Langfuse: link your Langfuse account once in the browser and Hermes Agent can call the Langfuse API through 10 ready-made tools — no custom code or token handling. ### How do I connect Langfuse to Hermes with ClawLink? Install the plugin with `hermes plugins install ClawLink-HQ/hermes-plugin --enable`, then pair once: run `hermes clawlink begin`, approve the link in your browser, and run `hermes clawlink finish`. Connect Langfuse in the dashboard and Hermes can use it from the next message — no config files, and the Langfuse key you paste is stored server-side instead of in your environment. ### How long does it take to connect Langfuse to Hermes Agent? About two minutes. Sign in, click Connect next to Langfuse in the dashboard, authenticate, and Hermes Agent can use it from the next chat message. ### Why use ClawLink instead of wiring Langfuse up myself? The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for Hermes Agent. That is fine if you want to build and maintain the integration yourself. Most teams just want Langfuse working from chat. ### Hermes paired but still can't use Langfuse Pairing is a two-step handshake: run `hermes clawlink begin`, approve the link in your browser, then run `hermes clawlink finish`. If you ran finish before approving, or the approval link expired, run `hermes clawlink begin` again to get a fresh link. Confirm the plugin was installed with `--enable`, then verify with `hermes clawlink test`. ## Related - [Hermes DataRobot integration](https://claw-link.dev/hermes/datarobot) — DataRobot is a machine learning platform that automates model building, deployment, and monitoring, enabling organizations to derive predictive insights from large datasets. - [Hermes Chatbotkit integration](https://claw-link.dev/hermes/chatbotkit) — ChatBotKit is a platform that enables developers to build and manage AI-powered chatbots, offering comprehensive APIs and SDKs for seamless integration into applications. - [Hermes Just One API integration](https://claw-link.dev/hermes/just-one-api) — Just One API provides unified access to public social media, creator, entertainment, and ecommerce data across hundreds of metered endpoints.