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PawnLogic

License: MIT Version PyPI CI Python 3.10+ Platform

PawnLogic is a terminal-first autonomous AI agent with multi-provider model routing, persistent memory, real local tool execution, MCP integration, and a CTF-oriented toolchain. The current public release is 0.3.2.

System Requirements

  • Linux or WSL2
  • Python 3.10+
  • pip
  • git only for source checkouts, development, or git-backed skill packs
  • ~/.local/bin in PATH when using the global pawn launcher
  • Optional: Docker for container tools, browser dependencies for Patchright / Scrapling, and CTF packages for pwn workflows

Quick Start

Option A: install from PyPI

pip install pawnlogic
pawn

The first run opens the API key configuration flow. Runtime files are created under ~/.pawnlogic/, not inside the project directory.

Option B: one-line installer

curl -fsSL https://raw.githubusercontent.com/john0123412/PawnLogic/main/install.sh | bash
pawn

The installer creates an isolated venv under ~/.local/share/pawnlogic, installs the official PyPI package, and writes ~/.local/bin/pawn.

Option C: source checkout for development

git clone https://github.com/john0123412/PawnLogic.git
cd PawnLogic
python3 -m venv venv
source venv/bin/activate
pip install -e ".[dev]"
pawn

Optional extras:

pip install "pawnlogic[docker]"    # Docker SDK integration
pip install "pawnlogic[browser]"   # Scrapling + Patchright browser tools
pip install "pawnlogic[ctf]"       # pwntools, ROPgadget, ropper
pip install -e ".[dev,ctf]"        # source checkout with tests and CTF tools

pawnlogic[ctf] installs CTF tooling dependencies only. CTF skill packs are optional extension assets that users install explicitly, for example with /skills install <repo_url> into ~/.pawnlogic/skills. Third-party skill packs are not bundled into PyPI distributions unless their upstream license and notices have been reviewed for redistribution. Skill-pack manifests are runtime discovery metadata only; they do not authorize redistribution without a matching THIRD_PARTY_NOTICES.md entry. Git-backed skill-pack installs accept only https://, ssh://, or git@host:owner/repo.git remotes.

Source-checkout launcher fallback:

./pawn.sh

CLI entry points:

pawn
pawn --debug
pawn --eval "summarize this repository"
pawn --eval "summarize this repository" --json
python -m pawnlogic --help

Default pawn uses user-friendly output and hides raw tool-call internals, parser diagnostics, detailed reasoning streams, and low-level API errors. Use pawn --debug or /mode when you need detailed diagnostics. With --json, each line is an independent NDJSON record. Existing text, chunk, and json records remain stable; versioned Agent lifecycle records use the additive {"type":"event","data":{...}} envelope.

What's New

Version 0.3.2 introduces bounded, isolation-proven two-worker delegation and unified skill pack management while preserving existing public contracts:

  • A supported batch caller can run at most two delegated tasks while preserving FIFO admission and input-order results; delegate_task remains a one-task compatibility adapter and never creates implicit fan-out.
  • Each concurrent child receives a copied RuntimeContext, unique .tasks/ workspace, bounded output collector, and task-local cancellation token.
  • Shared token, Tool-call, and cost budgets retain atomic claim and settlement behavior across queued, completed, cancelled, and deadline-expired tasks.
  • Concurrent children may use only task-isolated file Tools. Shell, network, container, extension, MCP, browser, pwn, sandbox, and other non-isolated Tool paths fail closed before handler execution.
  • Unified skill pack management under /skills: interactive TUI with arrow-key navigation, space-to-toggle, search, and bulk operations. /sp and /skillpack commands are removed; /skills is the single entry point for install, sync, rescan, and enable/disable.

See CHANGELOG.md for the full release history.

Key Capabilities

Capability Description
Multi-provider models Built-in DeepSeek, OpenAI, and Anthropic aliases plus custom OpenAI-compatible or Anthropic-style providers through /provider.
Delegated agents Bounded sub-agents use host-controlled dynamic model routing, user allow/deny policy, token/tool/cost budgets, capability-filtered Tools, task-local workspaces, and one-or-two-worker orchestration with task lineage.
Structured context Versioned task state, Tool-call-safe trimming, ctx_trim_to targeting, and host-selected delegated context keep long sessions bounded without copying raw parent history.
Persistent workspace SQLite-backed sessions, searchable history, memory commands, bounded provenance-aware knowledge retrieval, per-session workspaces, and audit logs under ~/.pawnlogic/.
Real tool execution Host shell, code sandbox, file operations, URL fetch, browser automation, Docker containers, and CTF helpers.
Trust-boundary UX User-mode warnings make it explicit when a tool crosses local host, container, browser, network, delegate, or plaintext HTTP boundaries.
Optional Extensions Installed packages can advertise pawnlogic.extensions entry points. Discovery does not load their code, and /extension enable <name> is always explicit.
MCP integration Stdio MCP servers can be configured from ~/.pawnlogic/mcp_configs.json, with roots and stderr logging handled by PawnLogic.
CTF / pwn workflows Optional pwn tooling, Docker container helpers, GDB automation, ROP chain support, libc leak workflows, and user-installed local skill packs.
Release hygiene CI runs Ruff, typed-island mypy, docs guard, and fast Python 3.11 PR checks first, then release/manual validation covers Python 3.10/3.11/3.12, packaging, dynamic E2E, docs structure, language policy, package build, and Trusted Publishing guardrails. Production PyPI publishing is tag-only through Trusted Publishing; manual workflow dispatch targets TestPyPI only.

Supported Models

PawnLogic ships with preconfigured model aliases. Only active providers with a configured API key are shown in /model and Tab completion.

Provider Aliases Notes
DeepSeek ds-v4-flash, ds-v4-pro Default provider; fast primary model plus flagship reasoning model.
OpenAI gpt-5.5, gpt-5.4, gpt-5.4-mini, gpt-5.4-nano, gpt-4o, gpt-4.1, o3 Coding, vision, multimodal, low-latency, and reasoning aliases.
Anthropic claude-opus, claude-sonnet, claude-haiku Opus, Sonnet, and Haiku aliases for Anthropic's Messages API path.

Custom provider model descriptions come from ~/.pawnlogic/custom_providers.json. Re-running /provider update <name> refreshes selected models and writes English fallback descriptions for fetched models when the provider does not supply a useful description.

Delegated tasks automatically prefer an eligible fast worker when no model request is supplied; they do not automatically reuse the current conversation model. /worker lists every model currently visible through /model, including eligible custom-provider aliases. /agent policy can allow or deny aliases, select the default routing mode, and cap cost or concurrency. Explicit model requests are preferences: provider visibility, user policy, capability, and budget checks remain authoritative. Structured tasks and results carry task/parent IDs, deadlines, usage, and failure records. Shared orchestration budgets are reserved atomically, and cancellation is cooperative. The core orchestrator admits at most two workers; each concurrent child has a copied RuntimeContext, an isolated workspace, a bounded output collector, and a task-local cancellation token. Concurrent children may use only task-isolated file Tools. delegate_task remains a single-task compatibility Adapter: a policy value of max-concurrency=2 takes effect only for a supported batch caller and never causes implicit fan-out.

Provider Management

/provider                         # open the provider TUI
/provider add <name> <base_url> <ENV_KEY> [anthropic]
/provider fetch <name>            # fetch available models and select aliases
/provider update <name>           # re-fetch provider models
/provider activate <name>         # show selected provider models
/provider deactivate <name>       # hide provider models
/provider list                    # show provider and key status
/provider test <model>            # test connectivity for a model alias
/setkey                           # run key setup again
/keys                             # show configured key status

API keys are stored in ~/.pawnlogic/.env. Provider configs, model aliases, and descriptions are stored in ~/.pawnlogic/custom_providers.json without secret values. Provider setup does not write keys into shell startup files.

Plain http:// provider endpoints are allowed for local relays and lab setups, but user-friendly mode prints a trust-boundary warning because requests and API keys are not protected by TLS.

Unstable custom providers can be tuned through environment variables in ~/.pawnlogic/.env: PAWNLOGIC_API_RETRY_MAX controls total request attempts including the first attempt, PAWNLOGIC_API_RETRY_AFTER_MAX caps provider Retry-After delays, and PAWNLOGIC_API_CONNECT_TIMEOUT, PAWNLOGIC_API_READ_TIMEOUT, and PAWNLOGIC_API_NONSTREAM_TIMEOUT tune connection and response wait times.

Quick Command Reference

/model <alias>                    # switch model
/mode                             # toggle user-friendly/debug output
/chat find <keyword>              # search all sessions
/think <prompt>                   # run one deeper reasoning turn
/compact                          # summarize and compact context
/undo [n]                         # roll back recent turns
/deep                             # full-power mode
/init_project [desc]              # initialize project state
/pwnenv                           # check CTF toolchain integrity
/ctf init <name>                  # start CTF workspace metadata
/ctf solved [flag]                # mark a confirmed CTF flag as solved
/ctf writeup                      # export a CTF writeup draft
/skills install <repo_url>         # install a git-backed skill pack
/skills                            # interactive TUI: toggle, sync, rescan
/extension list                   # list installed Extensions
/extension enable <name>          # explicitly enable an Extension
/extension disable <name>         # disable an Extension
/worker [alias|auto]              # inspect or set the preferred worker
/agent policy show                # inspect delegated-agent policy
/agent run <role> <objective>     # print a safe delegate_task request template

Run /help inside PawnLogic for the full command list.

Trust Boundary

PawnLogic is an agent execution tool, not a security sandbox. It intentionally executes real tools with the current user's permissions when you ask it to do so. Pattern filters, Docker boundaries, and capability profiles reduce accidents; they do not contain a determined attacker.

Web fetches and browser navigation evaluate HTTP(S) targets through the shared Network Policy before use. URLs are normalized; embedded credentials, cloud-metadata/internal targets, and loopback, link-local, multicast, unspecified, or reserved addresses are denied. Private-network targets require explicit authorization, and non-interactive requests fail closed when confirmation would otherwise be required. Redirect destinations are normalized, resolved, and evaluated again before they are followed, including any target-scoped authorization. Model-generated Tool arguments cannot grant private-network authorization, and confirmed private targets bypass remote reader services.

Docker bridge/host networking and legacy uvx mcp-server-fetch startup use capability-only authorization because no concrete URL is available at the gate. Authorize Docker networking with allow_network=true or PAWNLOGIC_DOCKER_ALLOW_NETWORK=true; authorize the legacy MCP network install with allow_network_install=true or PAWNLOGIC_MCP_ALLOW_NETWORK_INSTALL=true. These approvals grant only the named capability; they are not URL-target approvals.

User-friendly mode prints explicit trust-boundary notices for host shell execution, Docker container exec, browser/network-capable tools, private network URL access, delegated sub-agents, and plaintext HTTP providers. Use pawn --debug when you need lower-level tool arguments and diagnostics. Docker file mounts are workspace-bound by default, including read-only mounts; outside read-only challenge files require explicit allow_host_read_mount.

Host shell execution now passes through an operation policy before subprocess startup. Low-risk commands run normally, medium-risk commands are classified for audit, high-risk commands require explicit interactive confirmation, and critical operations are denied by default. Non-interactive execution, including pawn --eval, fails closed when a high-risk command would require confirmation. DANGEROUS_PATTERNS remains only one misuse/risk classifier; it is not a sandbox boundary and cannot stop a malicious local user.

Optional Extensions

Python distributions may advertise Extension metadata through the pawnlogic.extensions entry-point group. PawnLogic can list installed Extensions without loading their code. Installation never enables an Extension automatically.

/extension list
/extension status [name]
/extension enable <name>
/extension disable <name>

Enabled names are stored under ~/.pawnlogic/extensions/enabled.json. Extension startup failures are isolated from core startup, and contribution name conflicts are rejected instead of overwriting built-in Tools or commands. Dependency-heavy or security-sensitive Extensions must remain independently packaged and published. The core wheel contains no pawnlogic_security package, security console script, or security dependency; installing such a distribution would still require explicit /extension enable <name> authorization.

MCP Tool Integration

For pip or one-line installer users, PawnLogic creates editable templates in ~/.pawnlogic/ on startup:

pawn
cp ~/.pawnlogic/mcp_configs.example.json ~/.pawnlogic/mcp_configs.json
# edit ~/.pawnlogic/mcp_configs.json and add keys with /setkey or ~/.pawnlogic/.env
pawn

For source checkout users, the repository template can also be copied directly:

cp mcp_configs.example.json ~/.pawnlogic/mcp_configs.json

Supported example MCP servers include Tavily search, Playwright browser automation, and a filesystem bridge. External fetch MCP is disabled in the example because uvx mcp-server-fetch may contact PyPI during startup; use PawnLogic's built-in fetch_url unless you explicitly enable that MCP server.

MCP subprocess stderr is written to ~/.pawnlogic/logs/mcp/<server>.stderr.log by default. Set top-level "debug_stderr": true in mcp_configs.json when you want raw MCP stderr on the console. PawnLogic advertises MCP roots for the current working directory and ~/.pawnlogic/workspace.

Data Layout

All runtime data and API keys are stored in ~/.pawnlogic/.

~/.pawnlogic/
├── .env                    # API keys
├── custom_providers.json   # user provider configs, no keys
├── mcp_configs.json        # MCP server declarations
├── pawn.db                 # sessions, messages, knowledge base
├── global_skills.md        # GSA skill archive
├── skills/                 # optional user-installed skill packs
├── workspace/              # per-session working directories
└── logs/                   # audit logs

The project directory contains no secrets and is safe to commit or share.

Examples

Add a third-party API

/provider add myrelay https://api.myrelay.com/v1/chat/completions MYRELAY_API_KEY
/provider fetch myrelay
/provider activate myrelay
/model <alias>

Vision analysis

Analyze screenshot ./screenshot.png, extract the code and fix the bug.

CTF Pwn

/model ds-v4-pro
Analyze ./challenge, use pwn_debug to inspect registers at main breakpoint.

FAQ

Q: /model doesn't show new models after adding a provider? A: Configure its key, run /provider fetch <name>, select models, then /provider activate <name>.

Q: Test Connection fails but fetch succeeds? A: Fetch reads /v1/models; Test Connection sends a chat request. Load a chat model first.

Q: Where are API keys stored? A: ~/.pawnlogic/.env — outside the project, never tracked by git.

Q: pawn says command not found? A: export PATH="$HOME/.local/bin:$PATH"

Q: Browser tools say a module is missing? A: pip install 'pawnlogic[browser]' then patchright install chromium.

Q: Does it support local Ollama models? A: Yes. /provider add, Base URL http://localhost:11434, leave key empty.

Documentation

Document Description
README.md This page
README_zh-CN.md Chinese README
CHANGELOG.md Version history and release notes
CONTRIBUTING.md Contribution, provider, and test workflow
SECURITY.md Vulnerability reporting policy
THIRD_PARTY_NOTICES.md Third-party attribution and redistribution notes

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