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5 changes: 5 additions & 0 deletions .env.example
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Expand Up @@ -55,6 +55,11 @@ LLM_SERVER_PROVIDER=
LLM_SERVER_CONFIG_PATH=
LLM_SERVER_LEGACY_REASONING=
LLM_SERVER_PRESERVE_REASONING=
## Atlas Cloud example (OpenAI-compatible — https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=pentagi)
# LLM_SERVER_URL=https://api.atlascloud.ai/v1
# LLM_SERVER_KEY=your_atlascloud_api_key
# LLM_SERVER_MODEL=deepseek-ai/deepseek-v4-pro
# LLM_SERVER_PROVIDER=openai

## Ollama LLM provider (Local Server or Cloud)
# Local: http://ollama-server:11434, Cloud: https://ollama.com
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38 changes: 38 additions & 0 deletions README.md
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Expand Up @@ -14,6 +14,14 @@

</div>

<p align="center">
<a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=pentagi">
<img src="assets/atlas-cloud-logo.png" alt="Atlas Cloud" width="200">
</a>
</p>

> 🎁 **[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=pentagi)** is a full-modal, OpenAI-compatible AI inference platform (DeepSeek, Qwen, GLM, Kimi, MiniMax, …). PentAGI can run on it via the custom LLM provider — see [Atlas Cloud (OpenAI-compatible)](#atlas-cloud-openai-compatible).

## Table of Contents

- [Overview](#overview)
Expand Down Expand Up @@ -1392,6 +1400,36 @@ The `LLM_SERVER_PRESERVE_REASONING` setting controls whether reasoning content i

This setting is required by some LLM providers (e.g., Moonshot) that return errors like "thinking is enabled but reasoning_content is missing in assistant tool call message" when reasoning content is not included in multi-turn conversations. Enable this setting if your provider requires reasoning content to be preserved.

#### Atlas Cloud (OpenAI-compatible)

[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=pentagi) is OpenAI-compatible, so it plugs into PentAGI through the `LLM_SERVER_*` custom-provider variables — a single endpoint for DeepSeek, Qwen, GLM, Kimi, MiniMax, and more.

```bash
LLM_SERVER_URL=https://api.atlascloud.ai/v1
LLM_SERVER_KEY=your_atlascloud_api_key
LLM_SERVER_MODEL=deepseek-ai/deepseek-v4-pro
LLM_SERVER_PROVIDER=openai
```

`deepseek-ai/deepseek-v4-pro` is a reasoning model and works with PentAGI's default structured reasoning format (`LLM_SERVER_LEGACY_REASONING=false`). Any other Atlas chat model id can be used the same way.

<details>
<summary>All Atlas Cloud chat models (59)</summary>

- **Anthropic (Claude):** `anthropic/claude-haiku-4.5-20251001`, `anthropic/claude-opus-4.8`, `anthropic/claude-sonnet-4.6`
- **OpenAI (GPT):** `openai/gpt-5.4`, `openai/gpt-5.5`
- **Google (Gemini):** `google/gemini-3.1-flash-lite`, `google/gemini-3.1-pro-preview`, `google/gemini-3.5-flash`
- **Qwen:** `qwen/qwen2.5-7b-instruct`, `Qwen/Qwen3-235B-A22B-Instruct-2507`, `qwen/qwen3-235b-a22b-thinking-2507`, `qwen/qwen3-30b-a3b`, `Qwen/Qwen3-30B-A3B-Instruct-2507`, `qwen/qwen3-30b-a3b-thinking-2507`, `qwen/qwen3-32b`, `qwen/qwen3-8b`, `Qwen/Qwen3-Coder`, `qwen/qwen3-coder-next`, `qwen/qwen3-max-2026-01-23`, `Qwen/Qwen3-Next-80B-A3B-Instruct`, `Qwen/Qwen3-Next-80B-A3B-Thinking`, `Qwen/Qwen3-VL-235B-A22B-Instruct`, `qwen/qwen3-vl-235b-a22b-thinking`, `qwen/qwen3-vl-30b-a3b-instruct`, `qwen/qwen3-vl-30b-a3b-thinking`, `qwen/qwen3-vl-8b-instruct`, `qwen/qwen3.5-122b-a10b`, `qwen/qwen3.5-27b`, `qwen/qwen3.5-35b-a3b`, `qwen/qwen3.5-397b-a17b`, `qwen/qwen3.6-35b-a3b`, `qwen/qwen3.6-plus`
- **DeepSeek:** `deepseek-ai/deepseek-ocr`, `deepseek-ai/deepseek-r1-0528`, `deepseek-ai/DeepSeek-V3-0324`, `deepseek-ai/DeepSeek-V3.1`, `deepseek-ai/DeepSeek-V3.1-Terminus`, `deepseek-ai/deepseek-v3.2`, `deepseek-ai/DeepSeek-V3.2-Exp`, `deepseek-ai/deepseek-v4-flash`, `deepseek-ai/deepseek-v4-pro`
- **Moonshot (Kimi):** `moonshotai/Kimi-K2-Instruct`, `moonshotai/Kimi-K2-Instruct-0905`, `moonshotai/Kimi-K2-Thinking`, `moonshotai/kimi-k2.5`, `moonshotai/kimi-k2.6`
- **Zhipu (GLM):** `zai-org/GLM-4.6`, `zai-org/glm-4.7`, `zai-org/glm-5`, `zai-org/glm-5-turbo`, `zai-org/glm-5.1`, `zai-org/glm-5v-turbo`
- **MiniMax:** `MiniMaxAI/MiniMax-M2`, `minimaxai/minimax-m2.1`, `minimaxai/minimax-m2.5`, `minimaxai/minimax-m2.7`
- **xAI:** `xai/grok-4.3`
- **Kwaipilot:** `kwaipilot/kat-coder-pro-v2`
- **Other:** `owl`

</details>

### Ollama Provider Configuration

PentAGI supports Ollama for both local LLM inference (zero-cost, enhanced privacy) and Ollama Cloud (managed service with free tier).
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