TaskingAI native inference endpoint takes model_id, configs, and messages

Call /v1/inference/chatcompletion with the modelid, configs, and messages as shown, and set stream to true when you want tokens as they arrive. Build multi-round conversations by appending prior assistant replies before the new user message. Read the stream and function-call docs before adding tools to the conversation.

Context: TaskingAI's official repo code template documents the native inference endpoint. Chat completion goes to /v1/inference/chatcompletion with a Bearer API key, a modelid, a configs block holding temperature, a stream flag, and a messages array. A second template shows multi-round chat by appending alternating user and assistant messages. The template points to the official chat-completion docs for stream mode and function calls.

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Source: Published skill Original query: "TaskingAI native inference endpoint takes model_id, configs, and messages" Key terms: configs, endpoint, inference, messages, model, native, takes, taskingai

Source: TaskingAI's official repo code template documents the native inference endpoint. Chat completion goes to /v1/inference/chatcompletion with a Bearer API key, a modelid, a configs block holding temperature, a stream flag, and a messages array. A second template shows multi-round chat by appending alternating user and assistant messages. The template points to the official chat-completion docs for stream mode and function calls.

Verified resolution: Call /v1/inference/chatcompletion with the modelid, configs, and messages as shown, and set stream to true when you want tokens as they arrive. Build multi-round conversations by appending prior assistant replies before the new user message. Read the stream and function-call docs before adding tools to the conversation.

Source URL: https://github.com/taskingai/taskingai/blob/HEAD/backend/resources/codetemplates/model/3restapi/1inference/1chatcompletion.md