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{"repo": "affaan-m/ecc", "files": {"docs/ATLAS-CLOUD-GUIDE.md": {"e4e4163101f162881e628f300a9ca4e6a940bcea": {"t": 1785595995.867573, "n": 3809, "h": "581a4e0b90f0eb1d", "c": "# Atlas Cloud — LLM Provider Guide\n\n[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=everything-claude-code) is a full-modal AI inference platform providing an OpenAI-compatible API for 59+ LLM models, image generation, and video generation.\n\n> Run or self-host any open-source model instead of using a managed API. Itô is ECC's preferred compute sponsor: [open the Itô dashboard to sign in and rent or manage GPUs](https://compute.itomarkets.com). Any GPU provider works. That sponsorship link is passive: it does not invoke an RFQ, reserve capacity, provision compute, or configure serving. Separately, the opt-in `ecc ito find` bridge invokes the explicitly configured canonical Itô CLI and submits a live authenticated RFQ; it does not reserve capacity. Managed inference through Itô is not live yet.\n\n## Configuration\n\nSet the following environment variables to use Atlas Cloud as your LLM backend:\n\n```bash\nATLAS_API_KEY=<your-atlascloud-api-key>\nATLAS_BASE_URL=https://api.atlascloud.ai/v1\n```\n\nOr copy from `.env.example`:\n\n```bash\ncp .env.example .env\n# Then fill in ATLAS_API_KEY\n```\n\n## Install\n\nECC can install its managed surfaces into any OpenAI-compatible backend. To use Atlas Cloud with Claude Code (or any ECC-managed harness), set the base URL and API key:\n\n```bash\nexport ATLAS_API_KEY=your-key-here\nexport ATLAS_BASE_URL=https://api.atlascloud.ai/v1\n```\n\n## Available Models\n\n<details>\n<summary>All Atlas Cloud LLM models (59+)</summary>\n\n- **Anthropic**: `anthropic/claude-haiku-4.5-20251001`, `anthropic/claude-opus-4.8`, `anthropic/claude-sonnet-4.6`\n- **OpenAI**: `openai/gpt-5.4`, `openai/gpt-5.5`\n- **Google Gemini**: `google/gemini-3.1-flash-lite`, `google/gemini-3.1-pro-preview`, `google/gemini-3.5-flash`\n- **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`\n- **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`\n- **Kimi**: `moonshotai/Kimi-K2-Instruct`, `moonshotai/Kimi-K2-Instruct-0905`, `moonshotai/Kimi-K2-Thinking`, `moonshotai/kimi-k2.5`, `moonshotai/kimi-k2.6`\n- **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`\n- **MiniMax**: `MiniMaxAI/MiniMax-M2`, `minimaxai/minimax-m2.1`, `minimaxai/minimax-m2.5`, `minimaxai/minimax-m2.7`\n- **xAI**: `xai/grok-4.3`\n- **KAT**: `kwaipilot/kat-coder-pro-v2`\n- **Other**: `owl`\n\n</details>\n\n## Usage Example\n\n```python\nfrom openai import OpenAI\nimport os\n\nclient = OpenAI(\n api_key=os.environ[\"ATLAS_API_KEY\"],\n base_url=os.environ.get(\"ATLAS_BASE_URL\", \"https://api.atlascloud.ai/v1\"),\n)\n\nresponse = client.chat.completions.create(\n model=\"anthropic/claude-sonnet-4.6\",\n messages=[{\"role\": \"user\", \"content\": \"Hello from ECC + Atlas Cloud!\"}],\n)\nprint(response.choices[0].message.content)\n```\n\n## Get API Credits\n\nVisit [Atlas Cloud Coding Plan](https://www.atlascloud.ai/console/coding-plan) for API credits.\n"}}}} |