* first refactor
* feat: dockerized tool with persistent Claude+Codex login + multi-model benchmark
Run the autonomous CTF/pentest tool in Docker with a one-time, persistent login for
BOTH Claude Code and Codex, and add a multi-model benchmark harness.
Backend (multi-model):
- Add `--backend {claude,codex}` to the CTF pipeline. CodexBackend (pentestgpt/core/
backend.py) wraps unified_agent's Codex backend and translates its events into
AgentMessages, so the same pipeline runs on Claude (opus/sonnet) or Codex
(gpt-5.5/gpt-5.4-mini). Wired through config.backend, pipeline stage construction,
and the CLI (+ PENTESTGPT_CODEX_EFFORT; greppable [CODEX_USAGE] under PENTESTGPT_BENCH=1).
Docker tool (tool-only image; the benchmark stays OUTSIDE the image):
- Extend Dockerfile: Codex CLI (@openai/codex) + openai_codex SDK + unified_agent/
pentestgpt_agent/pentestgpt_legacy packages + gobuster/dirb + socat. Add .dockerignore
(keeps creds/benchmark/workspace out of the build context).
- Persistent dual login (the hard part) — asymmetric by token model:
* Claude: `setup-token` -> token stored in the pentestgpt-claude volume; entrypoint
exports CLAUDE_CODE_OAUTH_TOKEN (setup-token does not write .credentials.json; macOS
host creds live in the Keychain and can't be copied).
* Codex: the container does its OWN `codex login` (NOT seeding -- ChatGPT refresh tokens
are single-use, so a shared/copied login 401s on first refresh). The 127.0.0.1:1455
OAuth callback is forwarded into the container via a socat hop (-p 1455:8455).
* scripts/docker-login.sh is idempotent: checks logins live, logs in only the missing one(s).
- docker-compose codex-config volume (+ pinned names); entrypoint token-export + non-blocking
preflight; scripts/docker-auth-status.sh; Make targets (docker-build/login/auth-status/
run/shell/down/nuke).
- Verified end-to-end: one `make docker-login` -> a fresh container reports claude+codex
logged in with live round-trips; the CTF pipeline (Codex) captured a flag against an
isolated fixture and the pentest pipeline ran cleanly; persists across recreation, no re-login.
Benchmark (multi-model, host-side):
- benchmark/pilot/ harness (run_pilot.py + report.py): builds each xbow challenge, discovers
the loopback port, runs the pipeline across the 4 model combos, judges by the baked
FLAG{sha256(UPPER-dir)}, and renders REPORT.md (infra failures excluded from solve rates).
Includes the partial pilot's results (results.jsonl + REPORT.md).
Docs: docs/docker-dev-plan.md (full plan + implementation status); CLAUDE.md and README
docker quickstart; benchmark/pilot/README.md; design-doc roadmap (docs/redesign).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix: fail controller on backend error messages
* fix: allow listing sessions without target
* docs: add docker xbow benchmark report
* fix: infer concrete backend constructor type
* docs: refresh docker benchmark documentation
* feat(benchmark): add pure single-agent baseline + pipeline comparison
Add a "pure single agent" benchmark variant -- one bare `claude -p` /
`codex exec` call per target (no pipeline) -- to quantify what the 3-stage
PentestGPT pipeline buys over an un-orchestrated agent on the xbow targets.
- pentestgpt/prompts/stages.py: ctf_single_agent_{system,task}_prompt -- the
pipeline's shared fragments collapsed into ONE turn, so prompt content is
held constant and the only variable is the multi-stage decomposition.
- benchmark/pilot/run_docker_bench.py: docker-network runner
(--variant single|pipeline). Brings the target up, discovers the container's
internal IP+network (skips DB side-cars/ports), docker-runs the tool image on
that network, and scores the ground-truth flag against the agent's *assistant
text* only (parity with the pipeline's raw streaming). Reads stdout in chunks
to handle >64KB JSON lines. Resumable; --dry-run supported.
- benchmark/pilot/report_comparison.py -> DOCKER_COMPARISON.md: head-to-head
pipeline-vs-single per model on the common non-infra set.
- tests/unit/test_single_agent_prompt.py: prompt-builder coverage.
- docs: README, CLAUDE.md, benchmark README, DOCKER_REPORT updated.
Recorded result (10 medium/hard targets x 4 models, container-to-container,
same baseline image digest 0c4c0f3e..., commit dca0019 image):
Model Pipeline Single
Claude Opus 5/10 7/10 (single +2)
Claude Sonnet 6/10 4/10 (pipeline +2)
Codex gpt-5.5 7/10 7/10 (tie)
Codex gpt-5.4-mini 3/10 4/10 (single +1)
TOTAL 21/40 22/40
Single agent matches the pipeline on solve rate (55% vs 52%) while using
~40% fewer Codex tokens (13.0M vs 21.8M) and solving faster. The pipeline
only clearly helps Claude Sonnet (which times out solo); Opus is better solo.
Full per-challenge grid in DOCKER_COMPARISON.md; raw records in
docker_single_results.jsonl.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(benchmark): add pentestgpt_agent docker harness
* bench: refresh pentestgpt_agent smoke result
* fix(benchmark): make repeat rows variant-aware
* fix(agent): fall back for semantic executor labels
* fix(agent): tolerate executor prose evidence
* fix(benchmark): score accepted framework findings
* bench: append partial framework repeat results
* bench: complete framework repeat sweep
* bench: expose framework executor concurrency
* bench: add extended parallel framework sweep
* checkpoint: preserve working agent and benchmark state
* feat: harden durable agent loop and xbow qualification
* fix: reserve an exploit result turn
* docs: record clean xbow qualification
* build: consume unified-agent from the git wrapper repo
Repoint pentestgpt_agent_new's unified-agent dependency from the local
editable path (../../UnifiedAgentPoC, now renamed and gone) to the pinned
git source PentestGPT-Project/UnifedAgentWrapper@d05d21f. Regenerate uv.lock
and update test_dependency.py to assert the external package is installed
from that VCS URL (not the repo-root vendored copy) at version 0.2.0.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* refactor: make pentestgpt_agent_new the sole framework
Remove the retired ledger-based pentestgpt_agent package (instructor/executor/
judge) and its orphaned unit + smoke tests. The nested pentestgpt_agent_new
project (Supervisor/Executor over a durable SQLite loop, consuming unified-agent
from the git wrapper) is now the single maintained framework.
Repoint the top-level tooling to it:
- pyproject: drop the pentestgpt-agent console script and pentestgpt_agent from
the wheel packages.
- Makefile: lint/format target parent code only; typecheck/check/ci now run the
nested framework's own gate (ruff, format, mypy, pytest) via test-agent-new /
check-agent-new, so `make check` finally covers it; `make run` delegates to the
pentestgpt-agent-new CLI.
- Dockerfile: stop copying the removed package (kept the build working); note the
framework is not baked into the image yet.
- docker container-health test: import the substrate packages that actually ship.
- CLAUDE.md / AGENT.md: describe the new framework, the git-sourced wrapper, and
the deprioritized benchmark/Docker rewire.
The XBOW `--variant framework` path and docker-bench Makefile targets still point
at the old in-image framework and are left as a pending rewire (benchmarks
deprioritized); the naive `--variant single` path is unaffected.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* refactor: rename pentestgpt_agent_new -> pentestgpt_agent
The framework reclaims the clean name now that the old ledger-based package is
gone. Rename the nested project folder, its src package, the distribution
(pentestgpt-agent-new -> pentestgpt-agent) and CLI, and every import/reference in
the package, the umbrella Makefile, the Dockerfile, the docker health test, and
CLAUDE.md / AGENT.md. Regenerate uv.lock. The audit CLI stays pentestgpt-agent-audit;
the git-sourced unified-agent dependency is unchanged. `make check` is green
(108 nested tests). The two historical *_REPORT.md files keep the old name as
dated records.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* chore: extract benchmark harness to sibling xbow-benchmark repo
Move PentestGPT/benchmark/ out to ../xbow-benchmark (its own repo) to keep this
project clean. The harness was decoupled from the framework code (it scores
container output, never imports pentestgpt_agent/unified_agent), so only
operational ties remain and they now live in the sibling repo.
- Remove benchmark/ and the 4 harness unit tests (relocated + repointed there).
- Strip the docker-bench-*/bench-* targets and their config vars from the
Makefile; keep the tool-image lifecycle (docker-build/login/run/...) and add a
help pointer to `make -C ../xbow-benchmark help`.
The sibling repo mounts this checkout read-only (--source-root ../PentestGPT) and
runs the pentestgpt:latest image built here.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat: harden autonomous framework and runtime integration
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* fix: 🐛 minor typo and build process
* feat: 🎸 [WIP] Pentest mode
* feat: 🎸 code abstraction
* feat: modernize legacy PentestGPT with native multi-LLM support (#469)
Rebuild the classic USENIX-2024 interactive PentestGPT (reasoning / generation /
parsing sessions + Pentesting Task Tree + REPL) as a standalone
`pentestgpt_legacy` package on a native per-provider LLM layer that supports the
latest 2026 models.
- llm/: BaseProvider + OpenAI-compatible / Anthropic / Gemini connectors, a
web-verified model registry (OpenAI, Anthropic, Gemini, DeepSeek, xAI, Qwen,
Moonshot, local Ollama), a factory, and an LLMClient bridging async providers
to the core's synchronous send_new_message/send_message session API.
- CLI `pentestgpt-legacy`: --list-models and --smoke-test (live per-model
round-trip matrix), plus --reasoning-model / --parsing-model / --base-url.
- Tests: 25 unit tests (mocked, no network). Live smoke test verified 22/22
models with a configured key respond.
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* fix(backend): address review on ClaudeCodeBackend subprocess handling
- _build_env: pop ANTHROPIC_API_KEY instead of setting it to "", so an empty
value can't shadow the CLI's own auth fallback (e.g. subscription login).
- _kill_process: reap the force-killed process with os.waitpid(.., WNOHANG)
instead of calling the proc.wait() coroutine without awaiting it (removes the
"coroutine was never awaited" warning).
- query/_drain_stderr: drain subprocess stderr in a background task so its pipe
buffer can't fill and deadlock the child.
Also reformats backend.py, fixing the failing Lint (ruff format) check.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(docker-test): assert uv instead of Poetry in container health check
The project migrated from Poetry to uv (the Dockerfile installs uv to
/home/pentester/.local/bin, which is on PATH), so test_poetry_installed failed
with exit 127. Replace it with test_uv_installed checking `uv --version`.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* feat: 🎸 version 1.0 agentic workflow
Major rewrite of PentestGPT to use an agentic pipeline architecture:
Core Changes: - New event-driven architecture with EventBus for
TUI-agent decoupling - Implemented AgentController with 5-state
lifecycle (IDLE->RUNNING->PAUSED->COMPLETED->ERROR) - Added AgentBackend
interface with ClaudeCodeBackend implementation - Session management
with file-based persistence for resumable pentests - Langfuse
integration for observability and tracing Interface: - New Textual-based
TUI with real-time activity feed - Keyboard shortcuts: F1 help, Ctrl+P
pause, Ctrl+Q quit - Enhanced CLI with --target, --instruction,
--non-interactive, --debug flags Project Structure: - Moved legacy
multi-LLM version (v0.15) to legacy/ directory - New pentestgpt/core/
for agent, controller, events, session modules - New
pentestgpt/interface/ for TUI and CLI components - New
pentestgpt/benchmark/ for xbow benchmark integration - Comprehensive
test suite in tests/ with unit and integration tests DevOps: - Docker
support with Ubuntu 24.04 container - GitHub Actions CI/CD pipeline -
Makefile with dev commands (test, lint, format, typecheck) - Added
xbow-validation-benchmarks as submodule
* style: format code with Black
This commit fixes the style issues introduced in abe3be0 according to the output
from Black.
Details: https://github.com/GreyDGL/PentestGPT/pull/325
* fix: 🐛 fix test pipeline
* feat: 🎸 update format
* feat: 🎸 update
* docs: ✏️ readme and demo video udpate
---------
Co-authored-by: deepsource-autofix[bot] <62050782+deepsource-autofix[bot]@users.noreply.github.com>
* feat: 🎸 version 1.0 agentic workflow
Major rewrite of PentestGPT to use an agentic pipeline architecture:
Core Changes: - New event-driven architecture with EventBus for
TUI-agent decoupling - Implemented AgentController with 5-state
lifecycle (IDLE->RUNNING->PAUSED->COMPLETED->ERROR) - Added AgentBackend
interface with ClaudeCodeBackend implementation - Session management
with file-based persistence for resumable pentests - Langfuse
integration for observability and tracing Interface: - New Textual-based
TUI with real-time activity feed - Keyboard shortcuts: F1 help, Ctrl+P
pause, Ctrl+Q quit - Enhanced CLI with --target, --instruction,
--non-interactive, --debug flags Project Structure: - Moved legacy
multi-LLM version (v0.15) to legacy/ directory - New pentestgpt/core/
for agent, controller, events, session modules - New
pentestgpt/interface/ for TUI and CLI components - New
pentestgpt/benchmark/ for xbow benchmark integration - Comprehensive
test suite in tests/ with unit and integration tests DevOps: - Docker
support with Ubuntu 24.04 container - GitHub Actions CI/CD pipeline -
Makefile with dev commands (test, lint, format, typecheck) - Added
xbow-validation-benchmarks as submodule
* style: format code with Black
This commit fixes the style issues introduced in abe3be0 according to the output
from Black.
Details: https://github.com/GreyDGL/PentestGPT/pull/325
* fix: 🐛 fix test pipeline
* feat: 🎸 update format
* feat: 🎸 update
---------
Co-authored-by: deepsource-autofix[bot] <62050782+deepsource-autofix[bot]@users.noreply.github.com>
* feat: 🎸 add new models
* minor readme update
* style: format code with Black
This commit fixes the style issues introduced in dafa18b according to the output
from Black.
Details: https://github.com/GreyDGL/PentestGPT/pull/274
---------
Co-authored-by: deepsource-autofix[bot] <62050782+deepsource-autofix[bot]@users.noreply.github.com>
* fix: 🐛 fix OPENAI key setting issue and update readme
* feat: 🎸 update gpt4o
* style: format code with Black
This commit fixes the style issues introduced in 99581a8 according to the output
from Black.
Details: https://github.com/GreyDGL/PentestGPT/pull/229
* fix: 🐛 fix OPENAI_KEY typo
* style: format code with Black
This commit fixes the style issues introduced in 8f9091c according to the output
from Black.
Details: https://github.com/GreyDGL/PentestGPT/pull/230
---------
Co-authored-by: deepsource-autofix[bot] <62050782+deepsource-autofix[bot]@users.noreply.github.com>
* fix: 🐛 fix default models used
✅Closes: #204
* feat: 🎸 support local LLMs with GPT4ALL
* fix lint issue
* style: format code with Black
This commit fixes the style issues introduced in 5eee6a0 according to the output
from Black.
Details: https://github.com/GreyDGL/PentestGPT/pull/217
---------
Co-authored-by: deepsource-autofix[bot] <62050782+deepsource-autofix[bot]@users.noreply.github.com>
* Update chatgpt_config.py
Add base api environment variables
* Update README.md
Add guidance for API base changes
* Fix the problem that test-connection cannot run
* Update test_connection.py
Class variable read modification
gelei