yangmao.ai · Python setup money page

Anyscale Python API Setup

Use this page when you need a working Python starting point for Anyscale, 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: $10 free credits
Rate limits: 30 RPM
Best model starting point: Llama 3.3 70B
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

Anyscale buyer intent notes

Who should care

Best for Ray-native teams, open-model serving experiments, and organizations that care about scaling inference workloads beyond one API endpoint.

Decision trigger

Shortlist Anyscale when Ray ecosystem fit and scalable serving architecture are more important than a consumer-style free API.

Watch out: Confirm current product availability, trial terms, and serving limits because older Anyscale endpoint claims can go stale quickly.

Anyscale Python setupStarter integration notes Together AI free APIHosted open-model fallback DeepInfra free APISimple inference alternative

Production readiness checklist

Quota gate Start inside $10 free credits; 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: 2026-06-16; 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-anyscale-key",
    base_url="https://api.endpoints.anyscale.com/v1"
)

response = client.chat.completions.create(
    model="meta-llama/Meta-Llama-3.3-70B-Instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Free API and pricing notes

$10 free credits

New users get $10 free credits, built by the Ray framework team

Access and production risk

Relay or proxy may be needed

Requires proxy in China. Use openllmapi.com as proxy.

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 Anyscale chat completion with Llama 3.3 70B.

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

Anyscale production validation table

Use this table before sending real users, scheduled agents, or paid traffic to Anyscale. 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 $10 free credits. Compare Anyscale 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 30 RPM 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: anyscale
Official source: https://anyscale.com
Last updated: 2026-06-16
Free tier: credit-based
API credits: $10 free credits
Rate limit: 30 RPM
Access note: Requires proxy in China. Use openllmapi.com as proxy.

FAQ

Does Anyscale have a free API?

Yes. Current yangmao.ai record: $10 free credits. Rate limit note: 30 RPM.

Is Anyscale OpenAI-compatible?

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

Can I use Anyscale from mainland China?

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

What should I do when Anyscale credits run out?

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

When is Anyscale worth evaluating?

Evaluate Anyscale when your team already benefits from Ray-style distributed workloads or needs scalable serving patterns rather than only a cheap API key.