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Access DeepSeek, GLM, Kimi, Qwen, MiniMax, Gemma, and GPT-OSS models through the Charm Hyper API","maintainers":[{"name":"monotykamary","email":"tom81094@gmail.com"}],"readme":"<div align=\"center\">\n\n# ✨ pi-hypercharm-provider\n\n**17+ models through [Charm Hyper](https://hyper.charm.land/)**\n\n_Hyperoptimized coding models — DeepSeek, GLM, Kimi, Qwen, MiniMax, Gemma, GPT-OSS, and Llama for [pi](https://github.com/earendil-works/pi-coding-agent)._\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## Pi 1.0 compatibility\n\nTested with Pi **1.0.0**. Host-provided packages remain wildcard peers; development uses exact SDK pins.\nRun `bun run test:pi` for offline manifest, catalog, lifecycle and streaming checks. To test an installed host, set `PI1_HOST_PACKAGE` to its package directory; add `PI1_HOST_ENTRY=bundle` for its bundled CLI runtime. The probe stubs all network requests and never uses a live provider endpoint.\n\n---\n\n## Features\n\n- **23+ AI Models** including DeepSeek V4 Flash/Pro, GLM 5/5.1, Kimi K2.5/K2.6, Qwen3.6/3.7, MiniMax M2.7, Gemma 4, GPT-OSS, and Llama\n- **DeepSeek Native Thinking** — Uses the `deepseek` thinking format for Charm Hyper requests, with native `reasoning_effort` on models that publish levels\n- **OpenAI-compatible API** via Charm Hyper's `/v1/chat/completions` endpoint\n- **OAuth Device Flow** — sign in with `/login` under the `hypercharm` provider (independent of the official provider's `hyper` registration)\n- **Official Catalog Sync** from Charm's typed `/v1/provider` endpoint, matching `@charmland/pi-hyper-provider`\n- **Reasoning Models** with provider-published on/off states and exact effort levels\n- **Attachment Support** for models the official catalog marks as attachment-capable\n\n## Available Models\n\n| Model | Type | Context | Max Tokens | Input Cost | Output Cost |\n|-------|------|---------|------------|------------|-------------|\n| DeepSeek V4 Flash | Text | 1.0M | 384K | $0.20 | $0.40 |\n| DeepSeek V4 Flash 0731 | Text | 1.0M | 384K | $0.44 | $1.32 |\n| DeepSeek V4 Pro | Text | 1.0M | 384K | $2.40 | $4.80 |\n| DeepSeek V4 Pro 0813 | Text | 1.0M | 262K | $1.44 | $4.31 |\n| DeepSeek V4.1 Flash | Text + Image | 1.0M | 262K | $0.33 | $1.31 |\n| Gemma 4 26B A4B | Text | 256K | 26K | $0.10 | $0.33 |\n| GLM 5.3 | Text | 1.0M | 128K | $1.52 | $4.79 |\n| GLM 5.3 Flash | Text + Image | 1.0M | 131K | $0.16 | $0.54 |\n| GLM-5.2 | Text | 1.0M | 33K | $1.52 | $4.79 |\n| gpt-oss-120b | Text | 131K | 13K | $0.18 | $0.68 |\n| Inkling | Text + Image | 1.0M | 66K | $1.09 | $4.41 |\n| Kimi K2 Thinking | Text | 262K | 26K | $0.60 | $2.50 |\n| Kimi K2.7 Code | Text + Image | 256K | 16K | $1.03 | $4.36 |\n| Kimi K3 | Text + Image | 1.0M | 16K | $3.27 | $16.33 |\n| MiniMax M2.7 | Text | 262K | 7K | $0.48 | $1.85 |\n| MiniMax M3 | Text + Image | 512K | 512K | $0.33 | $1.31 |\n| Qwen3.7-Flash | Text + Image | 1.0M | 64K | $0.20 | $0.80 |\n| Qwen3.7-Max | Text | 1.0M | 64K | $2.50 | $7.50 |\n| Qwen3.7-Plus | Text + Image | 1.0M | 64K | $1.20 | $4.80 |\n| Qwen3.8-2.4T-A95B | Text | 1.0M | 128K | $2.00 | $6.00 |\n| Qwen3.8-27B | Text + Image | 1.0M | 128K | $0.50 | $3.00 |\n| Qwen3.8-Flash | Text + Image | 1.0M | 128K | $0.15 | $0.47 |\n| Qwen3.8-Max | Text + Image | 1.0M | 66K | $2.00 | $6.00 |\n*Costs are per million tokens. Prices subject to change — check [hyper.charm.land](https://hyper.charm.land) for current pricing.*\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-hypercharm-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 HYPERCHARM_API_KEY=your-api-key-here\n\npi\n```\n\nGet your API key from [hyper.charm.land](https://hyper.charm.land).\n\n### Option 2: Manual Clone\n\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/monotykamary/pi-hypercharm-provider.git\n   cd pi-hypercharm-provider\n   ```\n\n2. Set your HyperCharm API key:\n   ```bash\n   # Recommended: add to auth.json\n   # See Authentication section below\n\n   # Or set as environment variable\n   export HYPERCHARM_API_KEY=your-api-key-here\n   ```\n\n3. Run pi with the extension:\n   ```bash\n   pi -e /path/to/pi-hypercharm-provider\n   ```\n\n## Usage\n\nAfter loading the extension, select a model with:\n\n```\n/model hypercharm deepseek-v4-pro\n```\n\nOr start pi directly with a HyperCharm model:\n\n```bash\npi --provider hypercharm --model deepseek-v4-pro\n```\n\n### Reasoning Effort\n\nFor reasoning models that support `reasoning_effort`, control thinking depth:\n\n```bash\npi --provider hypercharm --model deepseek-v4-pro --reasoning-effort max\n```\n\nSupported levels are model-specific and come from Charm's `/v1/provider` catalog (for example `low`/`medium`/`high` on Kimi K2.6). Models with no published levels support the Hyper thinking on state through Pi's `max` level.\n\n### Thinking Mode\n\nDeepSeek V4 models use the `deepseek` thinking format — the same native format as the [pi-deepseek-provider](https://github.com/monotykamary/pi-deepseek-provider). This sends `thinking: {type: \"enabled/disabled\"}` plus `reasoning_effort` mapped via `thinkingLevelMap` (`high` → `\"high\"`, `max` → `\"max\"`). Replayed assistant messages include empty `reasoning_content` as required by DeepSeek's API.\n\n## Footer Status\n\nA Neuralwatt-style status line sits below the editor. It appears as soon as a\nHyperCharm model is selected — the account side (team, balance, rate limits)\nrenders when the session-start or model-select credits fetch lands, and the\nsession side joins it after the first HyperCharm turn completes. Selecting\nanother provider hides it (`hideOnOtherProvider` defaults to `true`), the\nbalance refreshes when the agent run fully settles, and sessions that never\nuse HyperCharm make no status-related API calls:\n\n```\n⚡ 1.24 hc · 7 req                       Xu's Team ◆ 249 hc · 996/1k/h · 29d\n└─ session spend+requests ─┘           └─ team · balance · rate limits ──┘\n```\n\nThe left side tracks what the current session has sent/spent, read from\nHyper's `usage.cost.hypercredits` extension on each response (no polling).\nThe right side shows the team name (`/v1/teams` — works for API-key auth),\nthe Hypercredit balance (`/v1/credits`), the per-hour and per-day request\nrate limits captured from response headers, and days until the OAuth device\nsession expires when signed in with OAuth. The right side compresses\nprogressively as the terminal narrows, and turns to a warning color at/below\nthe `lowBalanceHc` threshold.\n\n### Configuration\n\nEdit `~/.pi/agent/extensions/hypercharm.json` or run `/hypercharm-status`:\n\n| Setting | Values | Default |\n|---------|--------|---------|\n| `session` | `widget` \\| `statusbar` \\| `off` | `widget` |\n| `account` | `widget` \\| `statusbar` \\| `off` | `widget` |\n| `hideOnOtherProvider` | `true` \\| `false` | `true` |\n| `lowBalanceHc` | number \\| `null` | `25` |\n| `glyphs` | `auto` \\| `unicode` \\| `ascii` | `auto` |\n\nNon-interactive toggles:\n\n```\n/hypercharm-status session widget|statusbar|off\n/hypercharm-status account widget|statusbar|off\n/hypercharm-status hide true|false\n/hypercharm-status lowBalance 50|off\n/hypercharm-status glyphs auto|unicode|ascii\n/hypercharm-status refresh\n/hypercharm-status reset\n```\n\n`glyphs: \"auto\"` replaces the footer glyphs (bolt, gem, warning, auth arrow,\nseparator) with ASCII equivalents on legacy terminals (mintty/Cygwin), whose\ncell-width tables disagree with the extension's width math. There a glyph the\nterminal renders wider than the extension measures overflows the widget line,\nwhich desynchronizes pi's renderer and leaves stale rows behind. The widget\nalso right-aligns the account side flush with the terminal's last column, the\nway pi's built-in footer does, and clamps an explicit `unicode` choice to\nASCII on legacy terminals; the statusbar is not edge-padded and always honors\nthe exact choice.\n\n\n## Authentication\n\nThe HyperCharm API key can be configured in multiple ways (resolved in this order):\n\n1. **OAuth** — Run `pi`, send `/login`, and pick **HyperCharm**. This uses Hyper's device flow (open the verification URL, enter the code) and stores a refreshable OAuth credential under the `hypercharm` provider — fully independent of the official `@charmland/pi-hyper-provider` (`hyper`) registration, so both extensions can be installed side by side.\n2. **`auth.json`** (recommended for API keys) — Add to `~/.pi/agent/auth.json`:\n   ```json\n   { \"hypercharm\": { \"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.\n3. **Runtime override** — Use the `--api-key` CLI flag\n4. **Environment variable** — Set `HYPERCHARM_API_KEY`\n\nGet your API key from [hyper.charm.land](https://hyper.charm.land).\n\n## Environment Variables\n\n| Variable | Required | Description |\n|----------|----------|-------------|\n| `HYPERCHARM_API_KEY` | No | Your Charm Hyper 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-hypercharm-provider\"\n  ]\n}\n```\n\n### Catalog and Compat Settings\n\nModel metadata matches Charm's official [`@charmland/pi-hyper-provider`](https://github.com/charmbracelet/pi-hyper-provider) transform:\n\n- canonical `/v1/provider` names, prices, context windows, output caps, attachment flags, and `can_reason`\n- `thinkingFormat: \"deepseek\"`, which maps Pi thinking levels onto Hyper's `thinking` envelope\n- `reasoning_effort` only when the catalog publishes concrete level names\n- `maxTokensField: \"max_tokens\"` and `supportsStore: false`\n- `cacheRead` from `cost_per_1m_out_cached` (discounted cached-output price) and `cacheWrite` from `cost_per_1m_in_cached`, exactly as the official provider maps them\n- `/v1/credits` balance accepted in either hypercredits (`balance`) or USD (`balance_usd`, converted at the observed 20 hc = $1 rate)\n\n`patch.json` is reserved for verified provider regressions. It currently re-exposes Pi's `max` thinking level on the DeepSeek V4 models whose catalog `reasoning_levels` dropped it (`deepseek-v4-flash`, `deepseek-v4-pro`, `deepseek-v4.1-flash`), matching the levels their pinned snapshots still publish.\n\n### Patch Overrides\n\n`patch.json` is applied on top of `models.json` only for verified endpoint corrections; every other live field comes from Charm's canonical provider catalog.\n\n| Model | Override | Why |\n|-------|----------|-----|\n| `deepseek-v4-flash`, `deepseek-v4-pro` | `thinkingLevelMap.max = \"max\"` | The catalog now publishes only `high,xhigh`, while the pinned `-0731`/`-0813` snapshots publish `max`. |\n| `deepseek-v4.1-flash` | `thinkingLevelMap.max = \"max\"` | The catalog publishes `low,high,xhigh`; `max` mirrors the sibling DeepSeek V4 entries. |\n\nEach entry carries the model's full level map, because `patch.json` replaces `thinkingLevelMap` wholesale rather than merging it.\n\n## Updating Models\n\nRun the update script to fetch the latest models from the HyperCharm API:\n\n```bash\nexport HYPERCHARM_API_KEY=your-api-key\nnode scripts/update-models.js\n```\n\nThis will:\n1. Fetch models from `https://hyper.charm.land/v1/models`\n2. Regenerate `models.json` as pure metadata from Charm's typed `/v1/provider` catalog\n3. Apply overrides from `patch.json` only when building the README\n4. Remove custom models now available upstream from `custom-models.json`\n5. Reconcile delisted models through the 14-day `deprecated-models.json` grace layer\n6. Update `models.json` and the README model table\n\nA GitHub Actions workflow runs this daily and creates a PR if models have changed.\n\n## License\n\nMIT\n","readmeFilename":""}