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Access Kimi K2.6, GLM 5.1, Qwen 3.6, and coding-optimized models through the UMANS API","maintainers":[{"name":"monotykamary","email":"tom81094@gmail.com"}],"readme":"<div align=\"center\">\n\n# 🔗 pi-umans-provider\n\n**Coding-optimized models through [UMANS](https://code.umans.ai)**\n\n_A [pi](https://github.com/earendil-works/pi-coding-agent) provider extension with reasoning, vision, and live plan status._\n\n[![pi extension](https://img.shields.io/badge/pi-extension-blueviolet)](https://github.com/earendil-works/pi-coding-agent)\n[![license](https://img.shields.io/badge/license-MIT-blue)](./LICENSE)\n\n</div>\n\n---\n\n## Features\n\n- **OpenAI-compatible API** - Uses UMANS's `/v1/chat/completions` endpoint\n- **Reasoning models** - `reasoning_effort`-controlled thinking, surfaced as `reasoning_content`\n- **Vision models** - Image input on all models\n- **Tool use** - Function calling support across all models\n- **Streaming** - Real-time token streaming\n- **Subscription-based** - All models included in your plan, no per-token cost\n- **Usage status bar** — Displays your plan, concurrent sessions, and remaining requests in the pi footer\n\n## Available Models\n\n| Model | Base | Context | Vision | Reasoning | Max Output |\n|-------|------|---------|--------|-----------|------------|\n| Coder | GLM-5.3-Flash | 1.0M | ✅ | ✅ | 33K |\n| DeepSeek V4 Flash | DeepSeek-V4-Flash | 1.0M | ❌ | ✅ | 393K |\n| DeepSeek V4.1 Flash | DeepSeek-V4.1-Flash | 1.0M | ✅ | ✅ | 393K |\n| DeepSeek V4.1 Flash (lab) | DeepSeek-V4.1-Flash | 1.0M | ✅ | ✅ | 393K |\n| Flash | Qwen3.6-35B-A3B | 262K | ✅ | ✅ | 33K |\n| GLM 5.3 | GLM-5.3 | 1.0M | ❌ | ✅ | 131K |\n| GLM 5.3 Flash | GLM-5.3-Flash | 1.0M | ✅ | ✅ | 131K |\n| Kimi K3 | Kimi K3 | 1.0M | ✅ | ✅ | 131K |\n| MiMo V2.6 Pro (lab) | MiMo-V2.6-Pro-RL | 1.0M | ✅ | ✅ | 131K |\n| Qwen3.6 35B A3B | Qwen3.6-35B-A3B | 262K | ✅ | ✅ | 33K |\n\n> **Note:** `umans-flash-beta` is deprecated (sunset 2026-06-07). Use `umans-flash` instead.\n> `umans-qwen3.6-35b-a3b` is a technical alias for `umans-flash`.\n\n## Installation\n\n### Option 1: Using `pi install` (Recommended)\n\nInstall directly from GitHub:\n\n```bash\npi install https://github.com/monotykamary/pi-umans-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 UMANS_API_KEY=your-api-key-here\n\npi\n```\n\nGet your API key from [code.umans.ai](https://code.umans.ai).\n\n### Option 2: Manual Clone\n\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/monotykamary/pi-umans-provider.git\n   cd pi-umans-provider\n   ```\n\n2. Set your UMANS API key:\n   ```bash\n   # Recommended: add to auth.json\n   # See Authentication section below\n\n   # Or set as environment variable\n   export UMANS_API_KEY=your-api-key-here\n   ```\n\n3. Run pi with the extension:\n   ```bash\n   pi -e /path/to/pi-umans-provider\n   ```\n\n## Authentication\n\nThe UMANS 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   { \"umans\": { \"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 `UMANS_API_KEY`\n\nGet your API key from [code.umans.ai](https://code.umans.ai).\n\n## Environment Variables\n\n| Variable | Required | Description |\n|----------|----------|-------------|\n| `UMANS_API_KEY` | No | Your UMANS 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-umans-provider\"\n  ]\n}\n```\n\n## Usage\n\nOnce loaded, select a model with:\n\n```\n/model umans umans-coder\n```\n\nOr use `/models` to browse all available UMANS models.\n\n### Recommended Models\n\n- **`umans-coder`** — Best for complex, coding-heavy workloads. Optimized for coding agents.\n- **`umans-flash`** — Fastest model for low-latency iteration with tools.\n- **`umans-kimi-k2.7`** — Moonshot's Kimi K2.7-Code for the hardest, multi-step coding tasks. Reasoning is always on.\n\n### Reasoning Effort\n\nFor reasoning models, control thinking depth:\n\n```\n/reasoning high\n```\n\nLevels: `off`, `minimal`, `low`, `medium`, `high` (default: `medium`). `off` disables reasoning (maps to `reasoning_effort: none`); `minimal` is mapped to the nearest UMANS level.\n\n## Usage Status Bar\n\nOnce authenticated, the pi footer shows your UMANS account status:\n\n```\nCode Max (Founding Seat) | ⟠ 1/4\n```\n\n- **Plan name** — Your current subscription plan\n- **`⟠ N/M`** — Active concurrent sessions / max concurrent sessions\n- **`⇄ N`** — Remaining requests in the current window (shown when limited)\n\nThe concurrent-session count is tracked locally: it's optimistically incremented the moment an agent run starts (no API call needed — the server has a brief registration lag anyway), reconciled with UMANS's `/v1/usage` endpoint after each agent run ends, and lightly polled while idle so the baseline stays fresh. The plan name and request budget are fetched on session start and model selection.\n\n## API Compatibility\n\nThe UMANS API follows OpenAI conventions with these differences (handled via `patch.json` and `before_provider_request` hook):\n\n| Aspect | OpenAI Native | UMANS |\n|--------|-------------|-------|\n| Reasoning control | `reasoning_effort` | `reasoning_effort` (`none`/`low`/`medium`/`high`; default `medium`) |\n| Developer role | Varies | ❌ Not supported (use system role) |\n| Reasoning content | `reasoning_content` | `reasoning_content` (DeepSeek-style field) |\n| `requiresReasoningContentOnAssistantMessages` | — | ✅ Required — preserves thinking in history |\n| Pricing | Per-token | Subscription-based ($0/M) |\n\nThe extension also sanitizes orphaned `tool_calls` in conversation history. Context compaction can\ndrop tool result messages while keeping the assistant message that made the tool call, causing a\n400 error from the API. The `before_provider_request` hook detects this and inserts synthetic tool results.\n\n## Updating Models\n\nTo refresh the model list from the UMANS API:\n\n```bash\nnpm run update-models\n```\n\nThis fetches from `/v1/models/info`, updates `models.json`, and regenerates the README model table. Idempotent — safe to run repeatedly.\n\n## API Documentation\n\n- UMANS: https://code.umans.ai\n- OpenAI-compatible endpoint: `https://api.code.umans.ai/v1`\n- Models endpoint: `https://api.code.umans.ai/v1/models`\n- Models info: `https://api.code.umans.ai/v1/models/info`\n- Usage endpoint: `https://api.code.umans.ai/v1/usage`\n\n## License\n\nMIT\n","readmeFilename":"README.md"}