docs: add ChatEmpirioLabs chat model page #220
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| description: Wrapper around EmpirioLabs chat models that use the OpenAI compatible Chat endpoint. | ||||||
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| # ChatEmpirioLabs | ||||||
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| ## Description | ||||||
| [EmpirioLabs](https://empiriolabs.ai) is a unified inference platform that provides access to frontier chat models such as Qwen3.7, DeepSeek V4, GLM-5.1, Kimi K2.7 Code, and MiniMax M3 through a single OpenAI compatible API. The ChatEmpirioLabs node lists the available chat models for you and streams responses out of the box. | ||||||
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| ## Prerequisite | ||||||
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Contributor
There was a problem hiding this comment. Since there are multiple items listed in this section, the heading should be pluralized to 'Prerequisites' for grammatical correctness and consistency with other integration pages.
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| 1. Refer to the official [EmpirioLabs documentation](https://docs.empiriolabs.ai). | ||||||
| 2. Create an API key from your [EmpirioLabs dashboard](https://platform.empiriolabs.ai/dashboard/api-keys). | ||||||
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| ## Step by Step Guide | ||||||
| 1. **Chat Models** > Drag the **ChatEmpirioLabs** node. | ||||||
| 2. Create a new credential with your EmpirioLabs API key. | ||||||
| 3. Pick a model from the **Model Name** list (for example `qwen3-7-plus`, `deepseek-v4-pro`, `glm-5-1`, or `kimi-k2-7-code`). The list is populated from the EmpirioLabs models catalog. | ||||||
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Contributor
There was a problem hiding this comment. The example model names listed here (e.g.,
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| 4. (Optional) Click **Additional Parameters** to adjust Max Tokens, Top Probability, penalties, Timeout, or to override the Base Path. | ||||||
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| The node connects to the EmpirioLabs API at `https://api.empiriolabs.ai/v1`, so any model available on your account can be used the same way you would use any other OpenAI compatible Chat Model in Flowise. | ||||||
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The description lists non-existent or futuristic model versions (e.g., Qwen3.7, DeepSeek V4, GLM-5.1, Kimi K2.7 Code). Please update these to currently available models (such as Qwen 2.5, DeepSeek V3, GLM-4, or Kimi) to ensure the documentation is accurate and helpful for users.