yaacai 0.1.1

YAAC (Yet Another Agentic Coder) - An AI coding assistant powered by Pydantic AI

YAAC (Yet Another Agentic Coder)

An AI-powered coding assistant CLI, built with Pydantic AI.

Runs in your terminal, reads and edits your files, executes commands — like Claude Code, but model-agnostic and fully open.

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Features

• 🤖 Multi-provider — Anthropic, OpenAI, Google Gemini, Groq, Mistral, Ollama
• 🛠 Full tool suite — read/write/edit files, run shell commands, search code, LSP diagnostics
• 🧠 Subagents & planning — spawn independent subagents, delegate planning to a read-only planner
• 📚 Skills system — persistent, reusable instructions discoverable by the agent
• ✅ Session todos — per-session task tracking so the agent never loses context mid-task
• 💬 Persistent history — conversations saved to .yaac/history.json, compacted automatically
• 🔍 LSP integration — real type errors and code intelligence (hover, go-to-definition, references)
• ⚡ Streaming output — text streams in real-time; tool calls shown inline
• 🛑 Interrupt & refine — press i during a run to interrupt and add more details

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Installation

Install from PyPI

pip install yaacai

Update

pip install --upgrade yaacai

Local / development install

pip install -e .

# With optional provider support
pip install -e ".[openai]"     # OpenAI
pip install -e ".[google]"     # Google Gemini
pip install -e ".[groq]"       # Groq
pip install -e ".[mistral]"    # Mistral
pip install -e ".[all]"        # All providers

# With dev dependencies
pip install -e ".[dev]"

Configure and run

# Set your API key (Anthropic is the default provider)
export ANTHROPIC_API_KEY=sk-ant-...

# Launch
yaac

# Use a specific model
yaac --model openai:gpt-4o
yaac --model google:gemini-2.0-flash
yaac --model groq:llama-4-scout
yaac --model ollama:llama3

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Usage

Just type your request at the > prompt:

> read main.py and explain what it does
> add error handling to the parse_input function
> run the tests and fix any failures
> refactor the auth module to use async/await

Built-in commands

Command	Description
exit / quit / bye	Quit YAAC
/clear	Clear conversation history
/help	Show help
/skills	List loaded skills
/model	Open interactive model picker
/model <provider:model>	Switch model (e.g. openai:gpt-4o)
/key	Show API key status for current provider
/key <value>	Set & save the API key for the current provider

Interrupt & refine

Press i while YAAC is running to interrupt the current turn. You'll be prompted to add extra details; pressing Enter continues with the original instruction.

Environment variables

Variable	Description
ANTHROPIC_API_KEY	Anthropic API key
OPENAI_API_KEY	OpenAI API key
GOOGLE_API_KEY	Google Gemini API key
GROQ_API_KEY	Groq API key
MISTRAL_API_KEY	Mistral API key
YAAC_MODEL	Default model (overrides ~/.yaac/config.json)
YAAC_DEBUG	Set to 1 for full error tracebacks

API keys and the default model are also persisted in ~/.yaac/config.json when set via /key or /model.

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Supported models

Use the format provider:model-id anywhere a model is expected.

Provider	Example model IDs
anthropic	claude-sonnet-4-6, claude-opus-4, claude-haiku-4
openai	gpt-4o, gpt-4.1, o3, o4-mini
google	gemini-2.0-flash, gemini-1.5-pro
groq	llama-4-scout, llama-3.3-70b, kimi-k2
mistral	mistral-large, mistral-small
ollama	any locally running model, e.g. llama3, mistral

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Tools available to the agent

File tools

Tool	Description
read_file	Read file contents with line numbers (supports offset/limit)
write_file	Create a new file
update_file	Apply a unified diff to an existing file
list_directory	List directory contents with sizes

Shell & search

Tool	Description
run_bash	Execute shell commands (tests, git, build, etc.)
glob_search	Find files by glob pattern
grep_search	Search file contents by regex

LSP & code intelligence

Tool	Description
lsp_diagnostics	Get real type errors and warnings from a language server
lsp_query	Hover info, go-to-definition, references, document symbols

Agent & planning

Tool	Description
plan_mode	Delegate planning to a dedicated read-only planning subagent
spawn_subagent	Spawn an independent subagent with a fresh context
create_skill	Persist a new reusable skill to ~/.yaac/skills/
create_agent_profile	Persist a new agent profile to ~/.yaac/agents/

Session management

Tool	Description
todo_read	Read all todos for the current session
todo_write	Create or update session-scoped todos

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Skills

Skills are persistent, reusable instruction sets discovered automatically. Place a SKILL.md file with YAML frontmatter in any of these locations:

<project>/.yaac/skills/<skill-name>/SKILL.md   ← project-level (highest priority)
~/.yaac/skills/<skill-name>/SKILL.md           ← user-level (global)

SKILL.md format:

---
name: my-skill
description: One-line description shown in the catalog.
---

Full instructions in Markdown...

The agent sees only the name and description at startup. Full instructions are loaded on-demand via the activate_skill tool when a task matches. Use /skills to list all loaded skills, or create_skill to let the agent create one automatically.

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Conversation history & context management

• History is persisted to .yaac/history.json in the working directory.
• Tool results are truncated automatically to avoid bloating the context.
• When input token usage exceeds 65 % of the model's context window, history is compacted automatically.
• Use /clear to reset the conversation entirely.

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Development

pip install -e ".[dev]"

# Run without installing
python -m yaac.main

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Architecture

yaac/
├── main.py          # CLI entry point, REPL loop, streaming output
├── agent.py         # Pydantic AI agent creation & system prompt
├── config.py        # Model resolution, pricing, API key management
├── skills.py        # Skill discovery, catalog & activation
├── history.py       # Conversation persistence & compaction
├── completer.py     # Tab-completion, model picker, toolbar
├── ui.py            # Rich console helpers
├── beast.py         # Beast mode (extended context features)
├── tools/
│   ├── file_tools.py    # read_file, write_file, update_file, list_directory
│   ├── shell_tools.py   # run_bash
│   ├── search_tools.py  # glob_search, grep_search
│   ├── lsp_tools.py     # lsp_diagnostics, lsp_query
│   ├── meta_tools.py    # plan_mode, create_skill, create_agent_profile
│   ├── subagent_tools.py # spawn_subagent
│   └── todo_tools.py    # todo_read, todo_write
└── lsp/             # LSP server management

License

MIT