uv-agent

简体中文

Python-native coding agent — one run_python boundary. Every external action is auditable, replayable, and interruptible.

uv-agent channels all model capabilities through a single, well-defined exit: the model can only touch the outside world via run_python. Each call is a complete Python script executed in a uv run-managed isolated environment, using uv_agent_runtime helpers for file editing, command execution, code search, images, and plugin-provided capabilities such as MCP clients and workflow graphs. With only one exit, you can replay any run and see exactly what happened and why.

The project is still experimental. Public APIs, config fields, and runtime behavior may change.

Features

• Single tool boundary — no shell, filesystem, browser, or MCP model tools. The model writes Python; the managed runtime executes it. Every external action is an auditable script.
• Cache-aware NetGain compaction — long conversations no longer trigger blind compression. A pre-turn lightweight judge round lets the model estimate remaining calls and history dependency, then computes the net gain of compaction via an economic formula. Compression fires only when cache savings outweigh information loss. Recent context is retained verbatim (K tokens) to avoid losing key details.
• Python managed runtime — scripts run in a project-shared uv environment. uv_agent_runtime provides helpers for read/write/edit, FFF-backed search, subprocesses, dependency installation, images, and plugin-provided namespaces. Scripts serve as documentation — no opaque shell commands.
• Plugin system — trusted Python packages discovered via uv_agent.plugins can add runtime namespaces (rt.mcp, rt.workflow, custom helpers), actions, slash commands, UI providers, model context, event subscriptions, durable storage, and programmatic turn submission while preserving the single run_python model boundary.
• Headless service mode — uv-agent daemon starts the host and plugins without opening the TUI, so schedulers, chat bridges, webhooks, and other long-running integrations can keep working for a project state.
• Self-bootstrapping — uv-agent is developed using uv-agent. Reading, editing, testing, and iterating on the project are done with uv-agent itself.
• Progressive context disclosure — skills, MCP servers, and workspace rules are not dumped into the prompt all at once. The model receives an index first; full content is disclosed only when needed. Removed capabilities are explicitly marked to prevent stale-context errors.
• Goal mode durable memory — /goal creates a per-thread checklist/notes layer independent of the chat transcript. After compaction or resume, the model consults goal plugin state rather than relying solely on summarized history.
• Prompt-cache-friendly design — the system prompt prefix is guaranteed byte-identical within an epoch. Compaction requests share the same prefix structure as normal calls, maximizing provider-side cache hits. Cache reads are nearly free.

Cache-Aware Compaction

The cache-aware compaction introduced in v0.16.0 is uv-agent's core optimization for long-running sessions. Unlike traditional "compress when context hits N%," uv-agent makes an economic decision before every turn:

1. The model estimates how many more conversation rounds are needed (remaining_calls_bucket) and how strongly the task depends on history (history_dependency).
2. It enumerates K retention candidates and evaluates the NetGain for each: future cache savings minus compaction call cost, cache invalidation loss, information distortion penalty, plus context quality improvement gain.
3. Compaction fires only when the best net gain exceeds a margin-scaled threshold; otherwise it skips, avoiding wasted compression for short tasks.

Compaction requests share the exact same prefix structure as normal calls (system prompt → tools → messages), ensuring provider-side prompt prefix caches stay warm. Over 90% of input tokens in a typical compaction call are billed at cached rates (typically 1%–10% of the normal input price).

This design draws on the DP compaction algorithm from bash-agent, with thanks.

Quick Start

Prerequisites:

• uv — https://docs.astral.sh/uv/getting-started/installation/
• Git — needed for normal coding workflows and Worktree mode.

# Run the latest published release
uvx uv-agent@latest

# Run from a local checkout
uv run uv-agent

# Single-turn question (no TUI)
uvx uv-agent@latest ask "Summarize the project structure"

# Resume an existing thread
uvx uv-agent@latest ask --thread thr_xxx "Continue where we left off"

# Run the headless service host for plugins and schedulers
uvx uv-agent@latest daemon --replace

Model Configuration

uv-agent ships with no real provider configuration. Configure at least one provider, model, and level in ~/.uv-agent/config.json (or project-level .uv-agent/config.json). Keep API keys in environment variables or git-ignored local config.

Supported API formats:

{
  "providers": {
    "deepseek": {
      "base_url": "https://api.deepseek.com",
      "api_key": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
      "timeout_s": 7200,
      "chat_completions": {
        "path": "/chat/completions"
      },
      "message_passthrough": {
        "assistant": [
          "reasoning_content"
        ]
      },
      "reasoning_display": {
        "assistant_message_fields": [
          "reasoning_content"
        ],
        "stream_delta_fields": [
          "reasoning_content"
        ]
      }
    },
    "minimax": {
      "base_url": "https://api.minimaxi.com",
      "api_key": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
      "timeout_s": 7200,
      "chat_completions": {
        "path": "/v1/chat/completions"
      },
      "anthropic_messages": {
        "path": "/anthropic/v1/messages"
      }
    }
  },
  "models": {
    "deepseek-v4-flash": {
      "provider": "deepseek",
      "model": "deepseek-v4-flash",
      "api": "chat_completions",
      "supports_images": false,
      "context_window_tokens": 1000000,
      "params": {
        "reasoning_effort": "high"
      }
    },
    "deepseek-v4-pro": {
      "provider": "deepseek",
      "model": "deepseek-v4-pro",
      "api": "chat_completions",
      "supports_images": false,
      "context_window_tokens": 1000000,
      "params": {
        "reasoning_effort": "max"
      }
    },
    "MiniMax-M2.7": {
      "provider": "minimax",
      "model": "MiniMax-M2.7-highspeed",
      "api": "anthropic_messages",
      "supports_images": false,
      "context_window_tokens": 204800
    }
  },
  "levels": {
    "deepseek-flash": {
      "model": "deepseek-v4-flash"
    },
    "deepseek-pro": {
      "model": "deepseek-v4-pro"
    },
    "MiniMax-M2.7": {
      "model": "MiniMax-M2.7"
    }
  },
  "runtime": {
    "default_level": "deepseek-flash",
    "store_provider_response": false,
    "max_agent_rounds": 1000,
    "compression": {
      "enabled": true,
      "model_level": "deepseek-flash",
      "trigger_ratio": 0.9
    },
    "title_generation": {
      "enabled": true,
      "model_level": "deepseek-flash"
    },
    "branch_name_generation": {
      "enabled": true,
      "model_level": "deepseek-flash",
      "timeout_s": 15.0
    }
  },
  "runner": {
    "default_timeout_s": 7200,
    "max_output_bytes": 1000000,
    "max_run_logs": 200,
    "scriptenv_index_url": null
  },
  "logging": {
    "level": "INFO",
    "file_enabled": true,
    "console_enabled": false,
    "max_bytes": 5000000,
    "backup_count": 3
  },
  "pricing": {
    "currency": "RMB",
    "unit": "1M_tokens",
    "models": {
      "deepseek-v4-flash": {
        "input": 1,
        "output": 2,
        "cached_input": 0.02
      },
      "deepseek-v4-pro": {
        "input": 3,
        "output": 6,
        "cached_input": 0.025
      }
    }
  },
  "ui": {
    "completion_notification": {
      "enabled": true
    }
  },
  "plugins": {
    "my-plugin": {
      "enabled": false
    },
    "another-plugin": {
      "enabled": true,
      "config": {
        "option": "value"
      }
    }
  }
}

Use /config in the TUI to switch default level, language, and compression settings. See configuration for every option and config.example.json for a standalone example.

Logging

uv-agent writes operational logs to the project state log directory, usually ~/.uv-agent/projects/<project-id>/log/uv-agent.log. Per-plugin logs live under ~/.uv-agent/plugins/<plugin-id>/logs/plugin.log. Both use the top-level logging.max_bytes and logging.backup_count rotation settings; defaults keep about 5 MB per active log and 3 backups. --log-level overrides logging.level for the current process.

Everyday Workflow

• Type and press Enter to send. Use Ctrl+Enter / Ctrl+J for newlines.
• Type / from an empty composer to open the command palette; type to filter. @ for file mentions, @@ for thread mentions.
• /level <name> to switch models; /status to inspect runtime state including cache compaction judge details.
• /goal enable [objective] for durable task checklists across long sessions. See TUI and slash commands for the full list.

TUI Interfaces

• tui (default, uv-agent or uv-agent tui) — lightweight ANSI TUI rendered directly in the terminal. Compact status rows, streaming events, Goal/Worktree mode, and image attachments.

Service Mode

uv-agent daemon runs the same host/plugin stack without launching the terminal UI. Use it when plugin capabilities need a long-lived process: scheduled actions, external chat or webhook bridges, programmatic turn submission, or background event relays.

The daemon acquires a project-state lease and heartbeat so one active host owns integrations for that workspace. Use --replace to stop a stale or older daemon for the same state.

uv-agent daemon --replace

Plugins

Plugins are trusted Python packages discovered via the uv_agent.plugins entry point and loaded into the uv-agent host process. They extend the host without changing the model boundary: the model still acts through run_python, while plugin capabilities appear as script helpers, commands, actions, UI additions, and structured model context.

Plugins can:

• expose runtime helper namespaces such as rt.mcp, rt.workflow, or project-specific rt.<name> helpers;
• register actions for schedulers and other automation;
• add slash commands, picker/UI providers, and localized text;
• subscribe to host events, keep private storage, and submit turns from external systems.

Built-in Goal, Worktree, Skills, MCP, Workflow, and Scheduler capabilities use this same plugin surface. Install only plugins you trust.

uvx --with your-uv-agent-plugin uv-agent@latest

See Plugin system for details.

Runtime & Context

Every model turn = stable system prompt + on-demand structured context.

• run_python is the only external action surface. Scripts execute in a project-shared uv environment and import uv_agent_runtime helpers. The uv environment and working directory are separate; the cwd can change via enter_dir or Worktree mode.
• Runtime context (helper lists, skills, MCP servers, etc.) is plugin-owned epoch context. Plugins publish full epoch context after refresh/compaction and may enqueue explicit XML updates when their own state changes.
• Workspace rules are disclosed progressively: index first, full AGENTS.md only when entering the relevant directory.
• Goal mode provides a durable checklist/notes layer independent of the chat transcript, preserving task progress across compaction and resume.
• Checkpoint compaction summarizes the conversation while excluding reloadable runtime context. New epochs replay structured context before retained history.

Documentation

• Configuration
• Full config example
• TUI and slash commands
• Runtime and managed scripts
• Plugin system

Development

uv-agent is self-bootstrapping — it is developed using uv-agent itself for reading, editing, testing, and iterating.

uv run pytest

Local debug state, screenshots, config, and run data belong in .uv-agent/ and should stay out of git.

Acknowledgments

The cache-aware compaction design draws on the DP compaction algorithm and cache alignment approach from bash-agent, with thanks.

License

MIT. See LICENSE.