Integration
Connect Hume AI and Langfuse
When something happens in Hume AI or Langfuse, your agent does the next thing in the other. Describe it and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Hume AI and Langfuse to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Hume AI and Langfuse can do together
From Hume AI to Langfuse
When New Voice in Hume AI
then Add Comment in Langfuse
When Chat ended (instant) in Hume AI
then Add Dataset in Langfuse
From Langfuse to Hume AI
When New Trace in Langfuse
then Add config in Hume AI
When New Trace in Langfuse
then Add prompt in Hume AI
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Hume AI and Langfuse
Triggers and actions 5 triggers · 26 actions
Trigger
Chat ended (instant)Fires when an EVI chat session ends (chat_ended webhook event).
Trigger
Chat started (instant)Fires when a new EVI chat session begins (chat_started webhook event).
Trigger
New VoiceTriggers when a new voice is created.
Trigger
Tool call (instant)Fires when EVI calls a registered tool during a conversation (tool_call webhook event).
Action
Add configCreate a new EVI configuration (voice assistant setup).
Action
Add promptCreate a new system prompt for use in an EVI configuration.
Action
Add toolCreate a new tool definition that EVI can call during a conversation.
Action
Add voiceSave a new custom voice to the account from a TTS generation ID, for reuse in later speech requests.
Action
Convert voiceConvert the speech in an uploaded audio file into a different saved voice.
Action
Delete configDelete an EVI configuration from the account.
Action
Delete voiceDelete a saved custom voice from the account.
Action
Generate Text to SpeechConvert text to speech using Hume AI's expressive text-to-speech technology.
Action
List configsList the EVI configurations saved to the account.
Action
List promptsList the prompts saved to the account.
Action
List toolsList the tool definitions saved to the account.
Action
List voicesList the custom voices saved to the account.
Action
Update configUpdate an EVI configuration's name or description.
Trigger
New TracePolling trigger: fires for newly created traces (dedup by trace id / timestamp).
Action
Add CommentAdd a comment to a trace/observation/session/prompt object.
Action
Add DatasetCreate a new dataset.
Action
Add Dataset ItemCreate an item (input/expected_output/metadata) in a dataset.
Action
Add PromptCreate a new prompt version (text or chat).
Action
Add ScoreCreate a score attached to a trace/observation/session (numeric, categorical, or boolean).
Action
Delete TraceDelete a trace by id.
Action
Get ProjectReads the Langfuse project that the connection's project-scoped API key belongs to.
Action
Get PromptGet a prompt by name (and optional version/label).
Action
Get TraceGet a single trace by id, including nested observations/scores.
Action
List Dataset ItemsList items in a dataset.
Action
List DatasetsList all datasets in the project.
Action
List PromptsList all prompts in the project.
Action
List ScoresList scores with optional filters.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Hume AI and Langfuse, answered
What can start an automation from Hume AI?
Any of Hume AI's 4 triggers in the catalog, including New Voice, Chat ended (instant), Chat started (instant) and Tool call (instant). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in Hume AI?
Any of Langfuse's 13 actions, including Add Comment, Add Dataset, Add Dataset Item and Add Prompt. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Langfuse to Hume AI?
Yes. When something happens in Langfuse, your agent can act in Hume AI too. This page covers both directions: Langfuse's triggers and Hume AI's actions are listed here as well.
Do I have to build a connector for Hume AI or Langfuse?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.