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AwanLLM Python API Setup

Use this page when you need a working Python starting point for AwanLLM, then validate quota and model names in the official console before production.

Open official provider → Get one OpenAI-compatible key → Compare API gateway options →

Quick verdict

Free API: Free API tier advertised; quota and supported models must be verified in dashboard
Rate limits: Model and account dependent; free tier may throttle quickly
Best model starting point: Meta Llama 3.1 8B Instruct
Mainland China access: proxy/relay likely needed

Provider fit matrix

Best fit Fast provider evaluation, prototypes, and fallback routing

Watch out Free credits and rate limits can change without warning

Production fallback Keep at least one compatible backup provider before shipping

Production readiness checklist

Quota gate Start inside Free API tier advertised; quota and supported models must be verified in dashboard; log usage before adding retries or batch jobs.

No-card check Try the free path first, then confirm whether billing is required for API keys, higher RPM, or production endpoints.

Regional smoke test Run signup, dashboard, DNS, TLS, and first API call checks from mainland China before launch.

Source freshness Snapshot date: 2026-06-15; official quota and pricing can change without notice.

Python setup snapshot

Start with the smallest possible chat completion, then move the key to your server-side secret manager before production.

from openai import OpenAI

client = OpenAI(
    api_key="your-awanllm-api-key",
    base_url="https://api.awanllm.com/v1"
)

response = client.chat.completions.create(
    model="Meta-Llama-3.1-8B-Instruct",
    messages=[{"role": "user", "content": "Say hello from AwanLLM."}],
)
print(response.choices[0].message.content)

Free API and pricing notes

Free API tier advertised; quota and supported models must be verified in dashboard

AwanLLM positions itself as a free or low-cost LLM API with OpenAI-compatible access. It is useful for free chat API tests and as a small-traffic fallback to OpenRouter, Groq, or DeepInfra, but production use requires quota, throttling, model availability, and terms verification.

Access and production risk

Relay or proxy may be needed

Mainland China direct access is unconfirmed. For China-facing users, test the website, console, and API from the target network, and keep OpenLLMAPI, SiliconFlow, Qwen, or local models as fallbacks.

How to set it up

Create or locate your provider API key in the official dashboard.

Install the OpenAI-compatible Python SDK or the provider-supported SDK.

Set the API key in an environment variable instead of hard-coding secrets.

Run a small AwanLLM chat completion with Meta Llama 3.1 8B Instruct.

Watch free credits, RPM/TPM limits, response shape, and error messages before scaling.

AwanLLM production validation table

Use this table before sending real users, scheduled agents, or paid traffic to AwanLLM. The goal is to validate source freshness, quota behavior, regional access, and fallback needs instead of trusting a stale free-credit claim.

Check Pass condition If it fails

Signup and billing state Key creation works and the account can spend the recorded Free API tier advertised; quota and supported models must be verified in dashboard. Compare AwanLLM alternatives or route through a gateway before inviting users.

First request from target region Proxy, relay, or non-mainland deployment path is documented before launch. Do not ship cron jobs or public demos until latency, DNS, TLS, and auth are repeatable.

Quota, retry, and error shape Rate-limit behavior matches the current Model and account dependent; free tier may throttle quickly note or official dashboard values. Cap retries, add request logging, and keep a second route for 429/5xx bursts.

Cost per accepted task Real prompts stay within your target token, query, image-credit, or compute budget. Use cheaper primary routes, caching, shorter prompts, or fallback only after validation failure.

Credit-change alerts

Want to know when free credits, pricing, or availability changes? Subscribe first, then compare official providers, API gateways, and alternatives.

Subscribe → Get an OpenLLMAPI key → Compare API gateways →

Source snapshot

Data source: yangmao.ai provider YAML tracker plus provider docs reviewed by the daily crawler. Official dashboards can change quota and pricing without notice; verify before production.

yangmao.ai provider id: awanllm
Official source: https://awanllm.com
Last updated: 2026-06-15
Free tier: Free tier / free API route advertised; exact quota varies by account and model
API credits: Free API tier advertised; quota and supported models must be verified in dashboard
Rate limit: Model and account dependent; free tier may throttle quickly
Access note: Mainland China direct access is unconfirmed. For China-facing users, test the website, console, and API from the target network, and keep OpenLLMAPI, SiliconFlow, Qwen, or local models as fallbacks.

FAQ

Does AwanLLM have a free API?

Yes. Current yangmao.ai record: Free API tier advertised; quota and supported models must be verified in dashboard. Rate limit note: Model and account dependent; free tier may throttle quickly.

Is AwanLLM OpenAI-compatible?

The recorded setup uses an OpenAI-compatible pattern or SDK-style call. Validate the latest base URL and model names in AwanLLM docs.

Can I use AwanLLM from mainland China?

AwanLLM may need a proxy or relay from mainland China. Test latency and signup before production.

What should I do when AwanLLM credits run out?

Compare the alternatives below, check /en/free-ai-api/, and shortlist official providers or API gateway options before production.