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LLM application platform · OpenAI Chat

Full guide
FormatWhere to set it up
OpenAI ChatIntegrations → Model Provider → install the OpenAI-API-compatible plugin → Add Model (fields: Model Type, Model Name, API Key, API Base URL, Completion mode, Model context size)

Setup

Copy the configuration and replace sk-... with your key from the Ailoot Dashboard. Prefer storing the key in the environment variable AILOOT_API_KEY, if the application supports it.

Before starting, request GET /v1/models with your Ailoot key. Choose an exact model ID whose methods include POST /v1/chat/completions, then use that ID in the configuration. For agents, also check tool support and the features required by your client version.

Model Type: LLM
Model Name: claude-sonnet-5-5
API Key: sk-...
API Base URL: https://api.ailoot.ai/v1
Completion mode: Chat
Model context size: as listed on the model card in the Ailoot catalog

For Text Embedding:
Model Name: nemotron-3-embed
API Base URL: https://api.ailoot.ai

Example model: claude-sonnet-5-5, gpt-6.1-sol, qwen3.8-max; nemotron-3-embed (embeddings). Choose any other model from the catalog — check that it supports the format you need.

Good to know

Test

  • For LLM and Text Embedding, use the separate API Base URL values from their respective examples above. The prefix for OpenAI API methods is https://api.ailoot.ai/v1 (or the full path if the application asks for a full URL).
  • Ask a short question. If you get an error, check the code and Request ID, then consult Errors and limits.
  • 404 immediately after setup almost always means the URL is wrong: an extra or missing /v1.
  • 402 — insufficient balance for the reserve. Agents reserve more than chat: why.

Application documentation: https://github.com/langgenius/dify-official-plugins/tree/main/models/openai_api_compatible

Still have questions? Send your Request ID and a description — we'll help you troubleshoot.Contact support