Get API key

Langflow

A visual builder for AI agents and flows made of Python components.

Set up Langflow

The examples use MoonshotAI: Kimi K3, a live model on llm.buzz. Any model name from the Models page works.

  1. Create a key in the llm.buzz console under Keys, and keep it in the LLM_BUZZ_KEY environment variable.

  2. In Model providers, set up OpenAI Compatible, or set the same values as environment variables. Langflow lists the models; turn on moonshotai/kimi-k3 and pick it in a Language Model or Agent component.

    .env
    Added: OPENAI_COMPATIBLE_BASE_URL="https://api.llm.buzz/api/v1"
    OPENAI_COMPATIBLE_API_KEY="exp_vk_..."
    

Usage on llm.buzz

Weekly tokens from requests that name this app.

Rankings
Tokens last week
–Below the publishing floor
Rank last week
–Below the publishing floor
among apps on llm.buzz
vs prior week
–Below the publishing floor
Tokens, 12 weeks
–Below the publishing floor

Tokens by week

Usage is published weekly, once at least 5 organizations use a model. The current week closes Monday, Nov 2, 2026, 00:00 UTC.

Top models

No model's usage is published for Langflow yet.

A model or app appears only when at least 5 organizations used it that week and no single one sent more than 80% of its tokens.

Popular models for coding agents

Live models that call tools, the most used and most widely served first.

All tool-calling models

More agent platforms and automation

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Point Langflow at llm.buzzOne key for every model here; each request pays the price of the provider that answered it.