OpenAI-compatible API for production inference with European data residency.
Prompt & response content is not stored. We retain only minimal metadata needed for billing and abuse prevention.
from openai import OpenAI import os client = OpenAI( base_url="https://answira.ai/api/v1", api_key=os.environ["ANSWIRA_API_KEY"] ) resp = client.chat.completions.create( model="zai-org/GLM-4.7-FP8", messages=[{"role": "user", "content": "Explain quantum computing"}], stream=True )
Use any OpenAI SDK or OpenAI-compatible tooling. Change the base URL and ship.
Processing stays in Czech Republic, EU. Built for GDPR-sensitive workloads.
We do not store prompts or outputs and we never use your data for training.
Streaming, tool/function calling, JSON mode, JSON Schema structured outputs, reasoning output, 131K context.
Repeated prompt prefixes are served from cache at a reduced input price ($0.08/M vs $0.475/M). Ideal for agents and RAG pipelines with shared system prompts or instructions.
Starting with GLM-4.7 — more models added over time
High-quality open model optimized for complex tasks, coding, and multi-step reasoning. Running on our own GPU infrastructure.
# curl example curl https://answira.ai/api/v1/chat/completions \ -H "Authorization: Bearer $ANSWIRA_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "zai-org/GLM-4.7-FP8", "messages": [ {"role": "user", "content": "Hello"} ], "stream": true }'
Pay only for what you use. No subscriptions, no minimums.
Reasoning tokens are billed as output. Cached input applies automatically when prompt prefixes repeat.
No. Prompts and responses are processed in memory and immediately discarded.
Minimal metadata for billing and security: token counts, timestamps, hashed API keys, and security logs retained for 30 days. Details in our Privacy Policy.
During high load you may receive HTTP 429 with a Retry-After header. Per-key rate limits can be configured in the Portal.
If you repeat the same prompt prefix across requests, cached tokens are billed at $0.08/M instead of $0.475/M. The usage response includes prompt_tokens_details.cached_tokens so you can verify.
Yes. See the API documentation for details on all supported features.
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