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Overview

Langflow’s OpenAI component includes an OpenAI API Base field. Point that field at TokenLab’s OpenAI-compatible /v1 endpoint and use TokenLab model IDs.
Type: Low-code AI Workflow BuilderPrimary Path: OpenAI-compatible chat completionsSupport Confidence: Supported with scope limits

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OpenAI Component

  1. Add an OpenAI language model component.
  2. Set OpenAI API Key to your TokenLab key.
  3. Expand advanced settings.
  4. Set OpenAI API Base to https://api.tokenlab.sh/v1.
  5. Set Model Name to a TokenLab model ID.
  6. Connect the model output to your agent, chain, or workflow.

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Values

FieldValue
OpenAI API Basehttps://api.tokenlab.sh/v1
OpenAI API Keysk-your-tokenlab-key
Model Namegpt-5.4-mini
  • gpt-5.4-mini for most workflow tests
  • claude-sonnet-5 for stronger writing and reasoning
  • gemini-3.5-flash for fast multimodal-friendly workflows
  • deepseek-v4-flash for fast coding and reasoning iterations
Use Langflow’s LiteLLM Proxy component if your deployment already centralizes provider routing through a LiteLLM proxy.