Changelog

Hi there,

Great news! We've just added three new models to every Apertis subscription plan at no extra cost — with unlimited usage.

How to Get Started

These models are available immediately for all subscribers — no configuration changes needed. Simply use the model ID in your API calls:

model: "glm-4.7-flash" model: "gpt-5.1-codex-mini" model: "minimax-m2.1"

Why Free & Unlimited?

We continuously partner with leading AI providers to bring high-value models into your subscription. More models, same price — that's our commitment to maximizing the value of your plan.

Not a subscriber yet? **Explore our plans →**

Questions? Feel free to reach out anytime.

Happy Building.

Hi there,

We're excited to announce Apertis Python SDK v0.2.1, now with Context Compression support.

What's New

Context Compression automatically compresses prompt tokens in long conversations and large context scenarios — reducing API costs while maintaining response quality.

Quick Start

  pip install apertis==0.2.1

Resources

• PyPI: https://pypi.org/project/apertis/0.2.1/
• GitHub Release: https://github.com/apertis-ai/python-sdk/releases/tag/v0.2.1

*See the Release Notes for detailed usage and configuration options.*

Questions? Feel free to reach out anytime.

Happy Building.

Add Gemini 3.1 Flash Lite Preview & GPT-5.3 Chat

Context Compression automatically summarizes conversation history using a smaller, cost-efficient model before sending requests to your primary model. This significantly reduces input token costs while preserving conversation context.

Highlights

• Up to 78% token savings on long multi-turn conversations
• Three compression strategies to balance quality vs. savings:
• conservative — compresses after 8+ turns (minimal context loss)
• on — compresses after 6+ turns (balanced)
• aggressive — compresses after 3+ turns (maximum savings)
• All endpoints supported:
• POST /v1/chat/completions
• POST /v1/messages
• POST /v1/responses

How to Enable

Option 1: API Key Dashboard (Zero Code Changes)

Go to API Key Management → Edit your API key → Enable Context Compression and select your preferred strategy. All requests using that key will automatically apply compression.

Option 2: Per-Request via Request Body

  {
    "model": "gpt-4.1",
    "messages": [...],
    "compression": {
      "enabled": true,
      "strategy": "on",
      "model": "gpt-4.1-mini"
    }
  }

Option 3: Per-Request via HTTP Headers

X-Context-Compression: on X-Compression-Model: gpt-4.1-mini

SDK Support

Compression examples are now available for all supported SDKs:

• Python SDK (OpenAI, Anthropic, Responses API)
• TypeScript / Vercel AI SDK (@apertis/ai-sdk-provider)
• LangChain (via default_headers)
• LlamaIndex (via additional_kwargs)
• LiteLLM (via extra_headers)

Priority

Request body params > HTTP headers > API key defaults. Per-request settings always override key-level defaults.

See more on **Documentation**

Grok 4.2 is the next major iteration of xAI's Grok series, advancing the model's reasoning, coding, and multimodal capabilities with architectural improvements over Grok 4 and 4.1. It is positioned as a more powerful and general-purpose frontier AI model in the Grok family with stronger deep reasoning and real-world task performance.