| Name | muonry JSON |
| Version |
0.1.7
JSON |
| download |
| home_page | None |
| Summary | Muonry - Sequential AI coding assistant with planning, websearch, and resilient fallbacks |
| upload_time | 2025-08-25 19:08:41 |
| maintainer | None |
| docs_url | None |
| author | Muonry Contributors |
| requires_python | >=3.10 |
| license | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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|
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# Muonry – Parallel‑Capable AI Coding Assistant
[](https://deepwiki.com/justrach/muonry)
Muonry is a **reliable AI coding assistant** built on Bhumi with optional planning and now **parallel tool calling**. It favors a clean, straightforward approach that actually works. It is also an **open‑sourced Claude Code–style** coding assistant.
## ✨ Key Features
- **⚡ Parallel Tool Calling** – Run multiple tools concurrently in one turn (enabled by default)
- **🎯 Sequential Execution** – Reliable step-by-step execution when needed
- **🧠 Optional Planning** – Cerebras-powered task breakdown for complex projects
- **🔧 Rich Tool Set** – File operations, shell commands, code patching
- **📋 Smart Planning** – AI-powered task decomposition with sequential execution
- **🧵 Bounded Concurrency** – Semaphore-based limits with per-call progress updates
- **📊 Compact Codebase** – 1,238 lines of focused, maintainable code
- **🛡️ Rate‑Limit Fallback** – Automatically retries with a fallback model on rate limits
- **🪓 Context Trimming** – Sliding‑window message trimming to avoid context overflow (~131k)
- **✅ Satya Validation** – Robust schema validation for planner outputs (dict/model safe)
- **🔎 Websearch Improvements** – Structured results and fallback parsing for Title/URL blocks
## 🚀 Quick Start
1. **Set API Keys:**
```bash
export GROQ_API_KEY=your_groq_key
export CEREBRAS_API_KEY=your_cerebras_key # Optional for multi-model
export EXA_API_KEY=your_exa_key # Optional for websearch tool
export MUONRY_MAX_CONTEXT_CHARS=120000 # Optional: context cap (chars)
```
2. **Run the Assistant:**
```bash
python assistant.py
```
## 💬 Usage
### Interactive Chat
Simply run `python assistant.py` and start chatting! The assistant automatically handles:
**Simple Tasks** → Direct execution:
```
💬 You: Read config.json
🤖 Assistant: [reads file directly]
```
**Complex Tasks** → Planning + execution (parallel + sequential as appropriate):
```
💬 You: Create 6 Fire Nation stories in a folder
🧠 Planning task with 6 steps...
📋 Plan created: 1. Create folder, 2-6. Generate stories
💻 [Executes each step with the right mix of parallel + sequential]
```
### Available Tools
- **File Operations**: `read_file`, `write_file`, `apply_patch`
- **System Commands**: `run_shell`, `get_system_info`, `grep`, `search_replace`
- **Planning**: `planner` (automatic for complex tasks)
- **Development**: `update_plan`
- **Web Search**: `websearch` (requires `EXA_API_KEY` or api_key param)
- **Interactive Shell**: `interactive_shell` (PTY; scripted answers, env)
- **Quick Checks**: `quick_check` (syntax/health checks)
### Parallel tool calling
- Muonry can execute a batch of tools in parallel either when models return `tool_calls` or explicitly via the `parallel` tool.
- Env flags:
- `MUONRY_PARALLEL_TOOLS` (default: 1)
- `MUONRY_PARALLEL_CONCURRENCY` (default: 5)
- `MUONRY_PARALLEL_TIMEOUT_MS` (default: 60000)
Example using the `parallel` tool:
```json
{
"name": "parallel",
"arguments": {
"calls": [
{"name": "read_file", "arguments": {"file_path": "README.md"}},
{"name": "read_file", "arguments": {"file_path": "pyproject.toml"}},
{"name": "get_system_info", "arguments": {}}
],
"concurrency": 3,
"timeout_ms": 60000
}
}
```
## 🎯 Execution Model: Parallel + Sequential
1. **Simple Detection**: AI recognizes simple vs complex tasks automatically
2. **Optional Planning**: For complex tasks, uses Cerebras to break them into steps
3. **Parallel where independent**: Independent tool calls are batched and run in parallel
4. **Sequential where dependent**: Steps that depend on prior results are executed in order
5. **Reliable Results**: Bounded concurrency, progress events, and fallbacks
**Example Output:**
```
💬 You: Create 6 Fire Nation stories in a folder
🧠 Planning task with 6 steps...
📋 Plan created successfully
💻 Shell: mkdir -p "fire nation" (exit 0)
📝 Writing story 1: The First Flame...
📝 Writing story 2: The Phoenix Crown...
✅ All 6 stories created successfully!
```
## 📊 Architecture
### Core Components
- **`assistant.py`** – Main assistant. Handles chat loop, model fallback, context trimming, and parallel integration (auto + `parallel` tool).
- **`tools/toolset.py`** – Consolidated tool implementations (planner, shell, patching, file ops, quick checks, interactive shell, etc.).
- **`tools/orchestratorv2.py`** – Provider‑agnostic parallel executor (`ParallelToolExecutor`) with progress callbacks.
- **`tools/websearch.py`** – Exa-powered web search with structured JSON output and fallback Title/URL parsing.
- **`tools/apply_patch.py`**, **`tools/shell.py`**, **`tools/update_plan.py`**, etc. – Supporting modules used by `toolset.py`.
### Models & Fallback
- **Primary execution model**: `groq/moonshotai/kimi-k2-instruct` (requires `GROQ_API_KEY`).
- **Fallback model on rate-limit**: `cerebras/qwen-3-coder-480b` (auto retry once).
- **Planner model**: `cerebras/qwen-3-235b-a22b-thinking-2507` (requires `CEREBRAS_API_KEY`).
### Error Handling & Limits
- **Rate-limit handling**: Auto-detects rate limit errors; switches to fallback model and retries once.
- **Context length**: Sliding-window trimming keeps the latest messages within `MUONRY_MAX_CONTEXT_CHARS` (default 120k, below ~131k cap).
- **Planner validation**: Satya schema validation with safe conversion of model/dict step objects.
### Web Search
- `websearch` returns compact JSON: title, url, published_date, author, snippet, and limited text.
- If the provider returns a text block, the tool extracts Title/URL pairs to preserve clickable sources.
---
Muonry is a compact, reliable assistant with first-class parallel tool calling and pragmatic guardrails.
Raw data
{
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"maintainer": null,
"docs_url": null,
"requires_python": ">=3.10",
"maintainer_email": null,
"keywords": "ai, assistant, coding, cli, llm",
"author": "Muonry Contributors",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/d5/4d/c02ba9dd39f6f51c6546f7d1c23a67cfe35faa3b8466eb4722831117fc43/muonry-0.1.7.tar.gz",
"platform": null,
"description": "# Muonry \u2013 Parallel\u2011Capable AI Coding Assistant\n\n[](https://deepwiki.com/justrach/muonry)\n\nMuonry is a **reliable AI coding assistant** built on Bhumi with optional planning and now **parallel tool calling**. It favors a clean, straightforward approach that actually works. It is also an **open\u2011sourced Claude Code\u2013style** coding assistant.\n\n## \u2728 Key Features\n\n- **\u26a1 Parallel Tool Calling** \u2013 Run multiple tools concurrently in one turn (enabled by default)\n- **\ud83c\udfaf Sequential Execution** \u2013 Reliable step-by-step execution when needed\n- **\ud83e\udde0 Optional Planning** \u2013 Cerebras-powered task breakdown for complex projects\n- **\ud83d\udd27 Rich Tool Set** \u2013 File operations, shell commands, code patching\n- **\ud83d\udccb Smart Planning** \u2013 AI-powered task decomposition with sequential execution\n- **\ud83e\uddf5 Bounded Concurrency** \u2013 Semaphore-based limits with per-call progress updates\n- **\ud83d\udcca Compact Codebase** \u2013 1,238 lines of focused, maintainable code\n- **\ud83d\udee1\ufe0f Rate\u2011Limit Fallback** \u2013 Automatically retries with a fallback model on rate limits\n- **\ud83e\ude93 Context Trimming** \u2013 Sliding\u2011window message trimming to avoid context overflow (~131k)\n- **\u2705 Satya Validation** \u2013 Robust schema validation for planner outputs (dict/model safe)\n- **\ud83d\udd0e Websearch Improvements** \u2013 Structured results and fallback parsing for Title/URL blocks\n\n## \ud83d\ude80 Quick Start\n\n1. **Set API Keys:**\n ```bash\n export GROQ_API_KEY=your_groq_key\n export CEREBRAS_API_KEY=your_cerebras_key # Optional for multi-model\n export EXA_API_KEY=your_exa_key # Optional for websearch tool\n export MUONRY_MAX_CONTEXT_CHARS=120000 # Optional: context cap (chars)\n ```\n\n2. **Run the Assistant:**\n ```bash\n python assistant.py\n ```\n\n## \ud83d\udcac Usage\n\n### Interactive Chat\nSimply run `python assistant.py` and start chatting! The assistant automatically handles:\n\n**Simple Tasks** \u2192 Direct execution:\n```\n\ud83d\udcac You: Read config.json\n\ud83e\udd16 Assistant: [reads file directly]\n```\n\n**Complex Tasks** \u2192 Planning + execution (parallel + sequential as appropriate):\n```\n\ud83d\udcac You: Create 6 Fire Nation stories in a folder\n\ud83e\udde0 Planning task with 6 steps...\n\ud83d\udccb Plan created: 1. Create folder, 2-6. Generate stories\n\ud83d\udcbb [Executes each step with the right mix of parallel + sequential]\n```\n\n### Available Tools\n- **File Operations**: `read_file`, `write_file`, `apply_patch`\n- **System Commands**: `run_shell`, `get_system_info`, `grep`, `search_replace`\n- **Planning**: `planner` (automatic for complex tasks)\n- **Development**: `update_plan`\n- **Web Search**: `websearch` (requires `EXA_API_KEY` or api_key param)\n- **Interactive Shell**: `interactive_shell` (PTY; scripted answers, env)\n- **Quick Checks**: `quick_check` (syntax/health checks)\n\n### Parallel tool calling\n\n- Muonry can execute a batch of tools in parallel either when models return `tool_calls` or explicitly via the `parallel` tool.\n- Env flags:\n - `MUONRY_PARALLEL_TOOLS` (default: 1)\n - `MUONRY_PARALLEL_CONCURRENCY` (default: 5)\n - `MUONRY_PARALLEL_TIMEOUT_MS` (default: 60000)\n\nExample using the `parallel` tool:\n\n```json\n{\n \"name\": \"parallel\",\n \"arguments\": {\n \"calls\": [\n {\"name\": \"read_file\", \"arguments\": {\"file_path\": \"README.md\"}},\n {\"name\": \"read_file\", \"arguments\": {\"file_path\": \"pyproject.toml\"}},\n {\"name\": \"get_system_info\", \"arguments\": {}}\n ],\n \"concurrency\": 3,\n \"timeout_ms\": 60000\n }\n}\n```\n\n## \ud83c\udfaf Execution Model: Parallel + Sequential\n\n1. **Simple Detection**: AI recognizes simple vs complex tasks automatically\n2. **Optional Planning**: For complex tasks, uses Cerebras to break them into steps\n3. **Parallel where independent**: Independent tool calls are batched and run in parallel\n4. **Sequential where dependent**: Steps that depend on prior results are executed in order\n5. **Reliable Results**: Bounded concurrency, progress events, and fallbacks\n\n**Example Output:**\n```\n\ud83d\udcac You: Create 6 Fire Nation stories in a folder\n\ud83e\udde0 Planning task with 6 steps...\n\ud83d\udccb Plan created successfully\n\ud83d\udcbb Shell: mkdir -p \"fire nation\" (exit 0)\n\ud83d\udcdd Writing story 1: The First Flame...\n\ud83d\udcdd Writing story 2: The Phoenix Crown...\n\u2705 All 6 stories created successfully!\n```\n\n## \ud83d\udcca Architecture\n\n### Core Components\n- **`assistant.py`** \u2013 Main assistant. Handles chat loop, model fallback, context trimming, and parallel integration (auto + `parallel` tool).\n- **`tools/toolset.py`** \u2013 Consolidated tool implementations (planner, shell, patching, file ops, quick checks, interactive shell, etc.).\n- **`tools/orchestratorv2.py`** \u2013 Provider\u2011agnostic parallel executor (`ParallelToolExecutor`) with progress callbacks.\n- **`tools/websearch.py`** \u2013 Exa-powered web search with structured JSON output and fallback Title/URL parsing.\n- **`tools/apply_patch.py`**, **`tools/shell.py`**, **`tools/update_plan.py`**, etc. \u2013 Supporting modules used by `toolset.py`.\n\n### Models & Fallback\n- **Primary execution model**: `groq/moonshotai/kimi-k2-instruct` (requires `GROQ_API_KEY`).\n- **Fallback model on rate-limit**: `cerebras/qwen-3-coder-480b` (auto retry once).\n- **Planner model**: `cerebras/qwen-3-235b-a22b-thinking-2507` (requires `CEREBRAS_API_KEY`).\n\n### Error Handling & Limits\n- **Rate-limit handling**: Auto-detects rate limit errors; switches to fallback model and retries once.\n- **Context length**: Sliding-window trimming keeps the latest messages within `MUONRY_MAX_CONTEXT_CHARS` (default 120k, below ~131k cap).\n- **Planner validation**: Satya schema validation with safe conversion of model/dict step objects.\n\n### Web Search\n- `websearch` returns compact JSON: title, url, published_date, author, snippet, and limited text.\n- If the provider returns a text block, the tool extracts Title/URL pairs to preserve clickable sources.\n\n---\n\nMuonry is a compact, reliable assistant with first-class parallel tool calling and pragmatic guardrails.\n",
"bugtrack_url": null,
"license": "Apache License\n Version 2.0, January 2004\n http://www.apache.org/licenses/\n \n TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n \n 1. Definitions.\n \n \"License\" shall mean the terms and conditions for use, reproduction, and\n distribution as defined by Sections 1 through 9 of this document.\n \n \"Licensor\" shall mean the copyright owner or entity authorized by the copyright\n owner that is granting the License.\n \n \"Legal Entity\" shall mean the union of the acting entity and all other entities\n that control, are controlled by, or are under common control with that entity.\n For the purposes of this definition, \"control\" means (i) the power, direct or\n indirect, to cause the direction or management of such entity, whether by\n contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the\n outstanding shares, or (iii) beneficial ownership of such entity.\n \n \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising\n permissions granted by this License.\n \n \"Source\" form shall mean the preferred form for making modifications, including\n but not limited to software source code, documentation source, and configuration\n files.\n \n \"Object\" form shall mean any form resulting from mechanical transformation or\n translation of a Source form, including but not limited to compiled object code,\n generated documentation, and conversions to other media types.\n \n \"Work\" shall mean the work of authorship, whether in Source or Object form,\n made available under the License, as indicated by a copyright notice that is\n included in or attached to the work (an example is provided in the Appendix\n below).\n \n \"Derivative Works\" shall mean any work, whether in Source or Object form, that\n is based on (or derived from) the Work and for which the editorial revisions,\n annotations, elaborations, or other modifications represent, as a whole, an\n original work of authorship. For the purposes of this License, Derivative Works\n shall not include works that remain separable from, or merely link (or bind by\n name) to the interfaces of, the Work and Derivative Works thereof.\n \n \"Contribution\" shall mean any work of authorship, including the original version\n of the Work and any modifications or additions to that Work or Derivative Works\n thereof, that is intentionally submitted to Licensor for inclusion in the Work\n by the copyright owner or by an individual or Legal Entity authorized to submit\n on behalf of the copyright owner. For the purposes of this definition,\n \"submitted\" means any form of electronic, verbal, or written communication sent\n to the Licensor or its representatives, including but not limited to\n communication on electronic mailing lists, source code control systems, and\n issue tracking systems that are managed by, or on behalf of, the Licensor for\n the purpose of discussing and improving the Work, but excluding communication\n that is conspicuously marked or otherwise designated in writing by the copyright\n owner as \"Not a Contribution.\"\n \n \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf\n of whom a Contribution has been received by Licensor and subsequently\n incorporated within the Work.\n \n 2. Grant of Copyright License. Subject to the terms and conditions of this\n License, each Contributor hereby grants to You a perpetual, worldwide,\n non-exclusive, no-charge, royalty-free, irrevocable copyright license to\n reproduce, prepare Derivative Works of, publicly display, publicly perform,\n sublicense, and distribute the Work and such Derivative Works in Source or\n Object form.\n \n 3. Grant of Patent License. Subject to the terms and conditions of this License,\n each Contributor hereby grants to You a perpetual, worldwide, non-exclusive,\n no-charge, royalty-free, irrevocable (except as stated in this section) patent\n license to make, have made, use, offer to sell, sell, import, and otherwise\n transfer the Work, where such license applies only to those patent claims\n licensable by such Contributor that are necessarily infringed by their\n Contribution(s) alone or by combination of their Contribution(s) with the Work\n to which such Contribution(s) was submitted. If You institute patent litigation\n against any entity (including a cross-claim or counterclaim in a lawsuit)\n alleging that the Work or a Contribution incorporated within the Work\n constitutes direct or contributory patent infringement, then any patent licenses\n granted to You under this License for that Work shall terminate as of the date\n such litigation is filed.\n \n 4. Redistribution. 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