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Agent Toolbox – Qwen3-30B Chat Completion
x402
Agent Toolbox – Qwen3-30B Chat Completion is a paid API for AI agents from agent-toolbox.zafermemon87.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-30).
OpenAI-compatible chat completion endpoint powered by the Qwen3 30B mixture-of-experts model, accepting up to 32,000 characters of input and returning up to 2,048 tokens.
Price / call$0.002
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completion with Qwen3 30B (fast mixture-of-experts model): set the base URL to /v1/llm/qwen3-30b in any OpenAI SDK. Up to 32,000 characters in and 2,048 tokens out per call, a fixed price per call, no streaming.
Output
Returns an OpenAI-compatible chat completion response object containing the assistant's generated message, finish reason, and token usage statistics. Output is up to 2,048 tokens; JSON-mode output is available via response_format.
Example use cases
Agentic reasoning with structured output
“Send this message to the Qwen3 30B model and give me the answer as a JSON object: 'Extract the company name, date, and total amount from this invoice text: Acme Corp, January 15 2025, $4,320.00' — cap the output at 256 tokens.”
System-prompted customer support draft
“Using Qwen3 30B, generate a polite customer support reply to this user complaint: 'My order #8821 hasn't arrived after 10 days.' Use a system prompt that says 'You are a helpful e-commerce support agent.' Keep it under 200 tokens.”
Low-cost agent subtask completion
“I need the Qwen3 30B model to summarize this 5,000-word research article into 3 bullet points — pass it as a user message and set max_tokens to 300.”
Technical details
Endpoint
POSThttps://agent-toolbox.zafermemon87.workers.dev/v1/llm/qwen3-30b/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cost-effective OpenAI-compatible LLM call at a fixed $0.002/call price without managing infrastructure, especially when Qwen3's strong multilingual and reasoning capabilities are needed. Prefer it over GPT or other providers when minimizing per-call cost matters and the 32,000-character input window is sufficient. Ideal for agentic pipelines requiring many discrete LLM calls at predictable cost.
Side effects
- Input exceeds 32,000 character limit — request rejected
- max_tokens set above 2048 — capped or rejected
- Malformed messages array (missing role or content) — 400 error
- Payment failure via x402 protocol — 402 Payment Required
- Model temporarily unavailable on Cloudflare Workers — 503 error
- Temperature out of 0–2 range — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| messages | array | OpenAI chat messages: [{role: system|user|assistant, content}] (up to 32,000 characters in total) |
| max_tokens | integer | Default 2048 |
| temperature | number | |
| response_format | object | {"type": "json_object"} for JSON output |
Tags
x402
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