plyngent/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project overview

Plyngent is an LLM chat and agent toolkit (Python 3.14+, PDM-managed). Early development: protocol clients, config, async memory, and a runtime client factory exist. Agent, CLI, web, tools, and router are still planned/stubbed.

Commands

pdm install          # first-time dependency setup
pdm sync             # sync after pulling changes

pdm run basedpyright .   # type checking (basedpyright, "recommended" strictness)
pdm run ruff check .     # linting
pdm run ruff format .    # formatting
pdm run pytest           # tests (pytest-asyncio auto mode)

Architecture

Data modeling: msgspec.Struct

All protocol models use msgspec.Struct — not dataclasses, not Pydantic. Optional fields use msgspec.field(default=UNSET) / default=UNSET with type T | Unset.

typedef.py: Unset = UnsetType (plain assignment so msgspec recognizes it; do not use PEP 695 type Unset = ...). Multi-struct unions must be tagged via tag_field / tag (e.g. role, type) for decode. JSONSchema is dict[str, Any].

Protocol layering (lmproto/)

lmproto/openai_compatible/     ← Base: model, config, client
lmproto/deepseek/openai_compat/ ← Extends base via inheritance + extra fields

• openai_compatible/model.py — tagged chat messages (SystemChatMessage, UserChatMessage, …), tools, request/response, streaming chunks.
• openai_compatible/client.py — BaseOpenAIClient / OpenAIClient via niquests async + SSE.
• openai_compatible/config.py — OpenAIConfig (token + base URL).
• DeepSeek — DeepseekOpenAIClient; models add reasoning_content, prefix, ThinkingOptions.

Config (config/)

TOML load/store (ConfigStore): [providers] tagged union presets, [database] section. Default path via platformdirs.

Runtime (runtime/)

create_client(provider) maps config Provider → protocol client. OpenAI / openai-compatible / deepseek(openai convention) supported; anthropic and deepseek anthropic convention raise ProviderNotSupportedError.

Memory (memory/)

Async SQLAlchemy + aiosqlite. MemoryStore: schema init, default local user, sessions, messages stored as msgspec chat message JSON.

Agent (agent/)

• ChatClient Protocol for chat_completions.
• @tool / ToolRegistry: decorator infers JSON Schema from type hints; execute tools by name.
• run_chat_loop: multi-round tool loop, yields AgentEvent stream.
• ChatAgent: wrapper with optional MemoryStore bind (load/append messages).

Composition utility: Forward descriptor

utils/components.py — Forward[T] / forward() for attribute forwarding on composed objects.

Type annotations are mandatory

Basedpyright recommended. Ruff includes ANN (private return types ANN202 ignored). Prefer PEP 695 aliases except where msgspec requires plain assignment (Unset).

Commit messages

Scoped commit messages, not conventional commits:

<scope>: <brief description>

Examples: deps: add fastapi, core/mq: fix incorrect message sending, router: add routing service for xxx, test/webserver: change test client, ci/lint: run ruff style check.

Check git log for the full convention.