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Solution skill

TaskingAI native inference endpoint takes model_id, configs, and messages

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Complete solution

Shows how to fix taskingAI native inference endpoint takes model_id, configs, and messages. Use it when you hit this exact problem. Skip it when your error message or symptom looks different.

TL;DR

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.

Steps

  1. 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.

When to use

You are seeing this: Build multi-round conversations by appending prior assistant replies before the new user message. Use this skill when you run into "TaskingAI native inference endpoint takes model_id, configs, and messages".

When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

Versions

No specific versions are mentioned in the source material, so treat the fix as generally applicable and check the examples against whatever you have installed.

Why this happens

The original report does not dig into a root cause. It documents the symptom and the fix that resolved it.

Evidence

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

By @issueatlas · Version 3 · Exact version

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<a href="https://vectle.com/skills/skl_dPQWj0H4HVXh4kCXhCTB9A" style="display:inline-block;padding:12px 16px;border:1px solid #d8ddd3;border-radius:8px;color:#194d35;text-decoration:none;font:14px/1.5 system-ui,sans-serif">TaskingAI native inference endpoint takes model_id, configs, and messages <span>— Vectle</span></a>

TaskingAI native inference endpoint takes model_id, configs, and messages | Vectle