Changelog

<p align="center"> <img src="https://apertis.ai/ask-ai.png" alt="ask-ai-image" width="250" /> </p>

What's new

• AI-powered documentation search
• Ask questions in natural language and get precise, context-aware answers from Apertis docs.
• No more manual searching or jumping between pages.
• Built for integration
• The Ask AI experience is powered by the same APIs you can use in your own product.
• Easily embed an “Ask AI” assistant into your docs site, dashboard, or developer tools.
• Developer-friendly by design
• Optimized for technical questions, code usage, and API workflows.
• Responses are grounded in official documentation to reduce hallucinations.
• Faster onboarding & troubleshooting
• Help users discover features, understand APIs, and resolve issues instantly.
• Ideal for reducing support load and improving developer experience.

Why it matters

Ask AI turns documentation from a static reference into an interactive developer assistant. Whether you're building an internal tool, a public SDK site, or a customer-facing app, you can now offer the same AI-powered doc experience with minimal integration effort.

Get started

• Try Ask AI directly in Apertis Documentation
• Follow the integration guide to add Ask AI to your own application

• Before: 30-55ms
• After: 5-10ms (cache hits) / 15-25ms (cache misses)
• Estimated improvement: 40-80% latency reduction

Add comprehensive SDK features (v0.2.0) New Features:

• Vision/Image support with create_with_image() convenience method
• Audio input/output support
• Video content support
• Web Search with create_with_web_search() convenience method
• Reasoning Mode support (glm-4.7)
• Extended Thinking (Gemini) support
• Models API (list, retrieve)
• Responses API (OpenAI format)
• Messages API (Anthropic format)
• Rerank API (BAAI/bge-reranker-v2-m3, Qwen models)
• Helper utilities for base64 encoding

Includes 81 unit tests covering all new functionality.

PyPI Package: https://pypi.org/project/apertis/

Fix API response compatibility issues (v0.1.1)

• Make id, object, created fields optional in ChatCompletion
• Make id, object, created, model fields optional in ChatCompletionChunk
• Make Usage fields optional to handle empty usage objects in streaming
• Fix streaming by using httpx send() with stream=True instead of stream context manager

Tested with real API calls:

• Chat completions: working
• Streaming: working
• Embeddings: working
• Tool calling: working

🎉 Apertis Python SDK Released

We're excited to announce the official release of the Apertis Python SDK, now available on PyPI.

This SDK enables Python developers to integrate Apertis into their applications with ease, providing unified access to 470+ AI models across multiple providers through a single, consistent API.

📦 Installation

pip install apertis

PyPI: https://pypi.org/project/apertis

Highlights

• Official Python SDK: First-party Apertis SDK for Python developers.
• 470+ Models via One API
• Access models from OpenAI, Anthropic, Google, and more through Apertis.
• Unified Interface: Consistent request and response patterns for chat and embeddings.
• Production-Ready

Designed for reliability, extensibility, and integration into real-world Python workflows.

🆕 Changelog

v1.0.0 — Initial Release

• Initial public release of the Apertis Python SDK
• Support for chat-based text generation
• Support for text embedding models
• Unified API client with Apertis authentication
• Flexible model routing via Apertis model IDs
• Pythonic SDK design for scripts, services, and notebooks

Resources

• PyPI: https://pypi.org/project/apertis/
• Documentation: https://docs.apertis.ai
• GitHub: https://github.com/apertis-ai
• Model Pricing: https://apertis.ai/models

We're excited to support the Python community and can't wait to see what you build with Apertis 🚀