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Access DeepSeek, Kimi, GLM, Llama, Qwen, Mistral, and more through the IO Intelligence API","maintainers":[{"name":"monotykamary","email":"tom81094@gmail.com"}],"readme":"# pi-io-provider\n\nA [pi](https://github.com/badlogic/pi-mono) extension that adds [IO Intelligence](https://io.net) as a custom model provider.\n\n## Features\n\n- **OpenAI-compatible API** — Uses IO Intelligence's `/api/v1/chat/completions` endpoint\n- **23+ AI models** — DeepSeek, Kimi, GLM, Llama, Qwen, Mistral, and more\n- **Reasoning models** — DeepSeek R1, Kimi K2 Thinking with extended reasoning\n- **Vision models** — Kimi K2.5/K2.6, Llama 4 Maverick, Llama 3.2 Vision, Qwen2.5 VL, Mistral Large\n- **Prompt caching** — Cache read/write support on most models\n- **Confidential inference** — Verifiable TEE inference with attestation (via /private/ endpoints)\n- **Streaming** — Real-time token streaming\n\n## Available Models\n\n| Model | ID | Context | Max Output | Vision | Reasoning | Cache | Input $/M | Output $/M |\n|-------|----|---------|------------|--------|-----------|-------|-----------|------------|\n| DeepSeek V4.1 Flash | `deepseek-ai/DeepSeek-V4.1-Flash` | 1.0M | 131K | ✅ | ✅ | ✅ | $0.29 | $1.18 |\n| Gemma 4 26B A4B | `google/gemma-4-26b-a4b-it` | 262K | 262K | ✅ | ✅ | ✅ | $0.09 | $0.32 |\n| Gemma 4 31B Instruct | `google/gemma-4-31b-it` | 262K | 16K | ✅ | ✅ | ✅ | $0.38 | $1.15 |\n| Kimi K2.5 | `moonshotai/Kimi-K2.5` | 262K | 262K | ✅ | ✅ | ✅ | $0.53 | $2.79 |\n| Kimi K2.6 | `moonshotai/Kimi-K2.6` | 262K | 262K | ✅ | ✅ | ✅ | $0.66 | $3.17 |\n| Kimi K2.7 Code | `moonshotai/Kimi-K2.7-Code` | 262K | 262K | ✅ | ✅ | ✅ | $1.08 | $4.57 |\n| Kimi K3 | `moonshotai/Kimi-K3` | 1.0M | 1.0M | ✅ | ✅ | ✅ | $2.79 | $15.50 |\n| Qwen3.6 27B | `Qwen/Qwen3.6-27B` | 33K | 33K | ✅ | ✅ | ✅ | $0.34 | $3.01 |\n| Qwen3.6 35B A3B | `Qwen/Qwen3.6-35B-A3B` | 262K | 262K | ✅ | ✅ | ✅ | $0.20 | $1.29 |\n| Qwen3.8 27B | `Qwen/Qwen3.8-27B` | 66K | 66K | ✅ | ✅ | ✅ | $0.38 | $3.01 |\n| MiMo-V2.6-Flash | `XiaomiMiMo/MiMo-V2.6-Flash` | 1.0M | 131K | ✅ | ✅ | ✅ | $0.14 | $0.28 |\n| GLM 5.3 Flash | `zai-org/GLM-5.3-Flash` | 262K | 131K | ✅ | ✅ | ✅ | $0.21 | $0.70 |\n| DeepSeek R1 0528 | `deepseek-ai/DeepSeek-R1-0528` | 128K | 128K | ❌ | ✅ | ✅ | $0.57 | $2.28 |\n| DeepSeek V3.2 | `deepseek-ai/DeepSeek-V3.2` | 164K | 164K | ❌ | ✅ | ✅ | $1.40 | $2.25 |\n| DeepSeek V4 Flash | `deepseek-ai/DeepSeek-V4-Flash` | 33K | 33K | ❌ | ✅ | ✅ | $0.11 | $0.49 |\n| DeepSeek V4 Flash 0731 | `deepseek-ai/DeepSeek-V4-Flash-0731` | 262K | 66K | ❌ | ✅ | ✅ | $0.19 | $0.57 |\n| DeepSeek V4 Pro | `deepseek-ai/DeepSeek-V4-Pro` | 1.0M | 600K | ❌ | ✅ | ✅ | $1.34 | $2.67 |\n| DeepSeek V4 Pro 0813 | `deepseek-ai/DeepSeek-V4-Pro-0813` | 1.0M | 393K | ❌ | ✅ | ✅ | $0.93 | $3.92 |\n| MiniMax M2.5 | `MiniMaxAI/MiniMax-M2.5` | 197K | 197K | ❌ | ✅ | ✅ | $0.29 | $1.18 |\n| MiniMax M2.7 | `MiniMaxAI/MiniMax-M2.7` | 262K | 66K | ❌ | ✅ | ✅ | $0.40 | $1.46 |\n| Kimi K2 Thinking | `moonshotai/Kimi-K2-Thinking` | 262K | 262K | ❌ | ✅ | ✅ | $0.60 | $2.50 |\n| Nemotron 3.5 Lightning | `nvidia/nemotron-3.5-lightning` | 262K | 131K | ❌ | ✅ | ✅ | $0.06 | $0.18 |\n| gpt-oss-120b | `openai/gpt-oss-120b` | 131K | 131K | ❌ | ✅ | ✅ | $0.19 | $0.73 |\n| gpt-oss-20b | `openai/gpt-oss-20b` | 64K | 64K | ❌ | ✅ | ✅ | $0.06 | $0.20 |\n| MiMo-V2.5 | `XiaomiMiMo/MiMo-V2.5` | 1.0M | 1.0M | ❌ | ✅ | ✅ | $0.20 | $0.64 |\n| GLM-4.5-Air | `zai-org/GLM-4.5-Air` | 131K | 131K | ❌ | ✅ | ✅ | $0.16 | $0.94 |\n| GLM 4.6 | `zai-org/GLM-4.6` | 131K | 131K | ❌ | ✅ | ✅ | $0.52 | $2.04 |\n| GLM 4.7 | `zai-org/GLM-4.7` | 203K | 203K | ❌ | ✅ | ✅ | $0.52 | $2.05 |\n| GLM 4.7 Flash | `zai-org/GLM-4.7-Flash` | 200K | 200K | ❌ | ✅ | ✅ | $0.06 | $0.40 |\n| GLM 5 | `zai-org/GLM-5` | 203K | 203K | ❌ | ✅ | ✅ | $0.86 | $2.75 |\n| GLM 5.1 | `zai-org/GLM-5.1` | 203K | 33K | ❌ | ✅ | ✅ | $1.28 | $4.04 |\n| GLM 5.2 | `zai-org/GLM-5.2` | 262K | 131K | ❌ | ✅ | ✅ | $1.85 | $6.00 |\n| GLM 5.3 | `zai-org/GLM-5.3` | 262K | 131K | ❌ | ✅ | ✅ | $1.33 | $4.18 |\n| Llama 4 Maverick 17B 128E Instruct FP8 | `meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8` | 430K | 430K | ✅ | ❌ | ✅ | $0.27 | $0.83 |\n| Qwen3 Coder 480B A35B Instruct INT4 Mixed AR | `Intel/Qwen3-Coder-480B-A35B-Instruct-int4-mixed-ar` | 106K | 106K | ❌ | ❌ | ✅ | $0.45 | $2.15 |\n| Llama 3.3 70B Instruct | `meta-llama/Llama-3.3-70B-Instruct` | 128K | 128K | ❌ | ❌ | ✅ | $0.57 | $1.06 |\n| Mistral Nemo Instruct 2407 | `mistralai/Mistral-Nemo-Instruct-2407` | 128K | 128K | ❌ | ❌ | ✅ | $0.05 | $0.08 |\n| Kimi K2 Instruct 0905 | `moonshotai/Kimi-K2-Instruct-0905` | 262K | 262K | ❌ | ❌ | ✅ | $0.57 | $2.30 |\n| Qwen3 Next 80B A3B Instruct | `Qwen/Qwen3-Next-80B-A3B-Instruct` | 262K | 262K | ❌ | ❌ | ✅ | $0.12 | $1.14 |\n\n*Costs are per million tokens. Cache read/write pricing available on most models.*\n\n## Installation\n\n### Option 1: Using `pi install` (Recommended)\n\nInstall directly from GitHub:\n\n```bash\npi install git:github.com/monotykamary/pi-io-provider\n```\n\nThen set your API key and run pi:\n```bash\n# Recommended: add to auth.json\n# See Authentication section below\n\n# Or set as environment variable\nexport IOINTELLIGENCE_API_KEY=your-api-key-here\n\npi\n```\n\nGet your API key from [io.net](https://io.net).\n\n### Option 2: Manual Clone\n\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/monotykamary/pi-io-provider.git\n   cd pi-io-provider\n   ```\n\n2. Set your IO Intelligence API key:\n   ```bash\n   # Recommended: add to auth.json\n   # See Authentication section below\n\n   # Or set as environment variable\n   export IOINTELLIGENCE_API_KEY=your-api-key-here\n   ```\n\n3. Run pi with the extension:\n   ```bash\n   pi -e /path/to/pi-io-provider\n   ```\n\n## Authentication\n\nThe IO Intelligence API key can be configured in multiple ways (resolved in this order):\n\n1. **`auth.json`** (recommended) — Add to `~/.pi/agent/auth.json`:\n   ```json\n   { \"io-intelligence\": { \"type\": \"api_key\", \"key\": \"your-api-key\" } }\n   ```\n   The `key` field supports literal values, env var names, and shell commands (prefix with `!`). See [pi's auth file docs](https://github.com/badlogic/pi-mono) for details.\n2. **Runtime override** — Use the `--api-key` CLI flag\n3. **Environment variable** — Set `IOINTELLIGENCE_API_KEY`\n\nGet your API key from [io.net](https://io.net).\n\n## Environment Variables\n\n| Variable | Required | Description |\n|----------|----------|-------------|\n| `IOINTELLIGENCE_API_KEY` | No | Your IO Intelligence API key (fallback if not in auth.json) |\n\n## Configuration\n\nAdd to your pi configuration for automatic loading:\n\n```json\n{\n  \"extensions\": [\n    \"/path/to/pi-io-provider\"\n  ]\n}\n```\n\n## Usage\n\nOnce loaded, select a model with:\n\n```\n/model io-intelligence deepseek-ai/DeepSeek-R1-0528\n```\n\nOr use `/models` to browse all available IO Intelligence models.\n\n## API Documentation\n\n- IO Intelligence Docs: https://io.net/docs/guides/confidential-inference/quick-start\n- OpenAI-compatible endpoint: `https://api.intelligence.io.solutions/api/v1`\n- Models endpoint: `https://api.intelligence.io.solutions/api/v1/models`\n- Confidential inference: `https://api.intelligence.io.solutions/api/v1/private/completions`\n\n## License\n\nMIT\n","readmeFilename":""}