Skip to main content

Agentic Hardware-in-the-Loop (Agentic HIL) tools for AI-assisted embedded firmware loops

Project description

Agentic HIL

Your AI agent can develop firmware on its own — because Agentic HIL closes the loop with real hardware.

The Agentic HIL loop: build, flash, stimulate, observe, then diagnose and fix, closing back onto build. Flash and stimulate write to the real board on your bench; observe reads back from it. Your agent runs the loop unattended and you review the pull request.

Agentic Hardware-in-the-Loop (Agentic HIL) is a Python package that exposes bounded MCP tools for probing, flashing, resetting, artifact validation, serial and CAN stimulus/feedback, reports, and logs — without giving an agent arbitrary host or debugger access. Each project has exactly one authoritative configuration stored outside the repository. Agentic HIL discovers it from the project root, while AGENTIC_HIL_CONFIG can select an explicit absolute-path override. The file defines the workspace binding, devices, actions, paths, and limits.

Names: the Python distribution/install target, CLI command, repository URL, and MCP server name use agentic-hil. Python imports, pytest plugin names, fixtures, and Python examples use agentic_hil.

Install

The easiest path: copy/paste this prompt to your AI agent:

Read and follow the complete guide at https://github.com/agentic-hil/agentic-hil/blob/master/AI_AGENT_QUICKSTART.md to install Agentic HIL and set it up for this project.

Agents follow AI_AGENT_QUICKSTART.md — everything installs user-local, no admin rights required, ever. The same is true doing it by hand.

Installing it yourself

Two commands: install the package user-locally, then set up the project from its root.

pip install --user agentic-hil
agentic-hil setup                 # add --agent codex or --agent opencode for those

setup creates the deny-by-default policy outside the repository, installs the agent skill, registers the MCP server with a verified absolute executable path, and runs doctor. It prints where the policy file landed — review it before enabling anything.

If pip is missing, Python is externally managed, or agentic-hil does not end up on PATH, install it persistently with a tool installer instead and rerun setup:

uv tool install agentic-hil       # or: pipx install agentic-hil

Never use pip install --break-system-packages. Never persist a uvx invocation, a workspace virtual environment, or a bare PATH name as the MCP launcher: each resolves anew later, so the program behind the hardware gate could change without anyone editing anything. AI_AGENT_QUICKSTART.md has the complete fallback chain, and TROUBLESHOOTING.md covers what to do when something does not start.

For direct PEAK/SocketCAN adapters add the CAN extra — uv tool install 'agentic-hil[can]' — and for the pyOCD backend agentic-hil[pyocd]. Both are optional because they carry platform-specific drivers that flashing and UART do not need; without them those tools refuse with can_backend_not_available rather than failing at import.

To check a version without installing anything, uvx --from agentic-hil agentic-hil --version is a diagnostic only.

Why

A green build is not enough in embedded development: firmware has to behave correctly on the real board. Classic tools automate single steps — flash here, read a log there — but the moment real hardware has to respond, a human is back in the loop. Handing an agent a raw debugger shell or direct serial access instead is neither safe nor reproducible. Agentic HIL closes the gap with a small, auditable gate:

AI agent / CI  ──MCP (stdio)──▶  Agentic HIL  ──authoritative config──▶  OpenOCD / pyOCD / STM32CubeProgrammer
                                    │                        serial ports (pyserial)
                                    │                        CAN (PEAK / SocketCAN / bridge)
                                    ▼
                       structured results, reports, logs

Every hardware action is validated against the selected authoritative configuration, executed with timeouts, logged to .agentic-hil/logs/, and answered with a structured JSON result (ok, error_type, summary, likely_causes, report_path, log_path) that an agent can act on.

MCP Entry

Every MCP host starts the same local stdio server from the firmware project root, using the reviewed absolute path of its persistent installation:

/absolute/path/to/persistent/agentic-hil mcp-stdio

Host configuration schemas are not portable: VS Code uses servers, Claude Code uses mcpServers, Codex uses TOML, and OpenCode uses a command array. agentic-hil setup --agent <agent> performs secure user-level registration for Claude Code, Codex, and OpenCode. See MCP host configuration for the remaining hosts. agentic-hil mcp-config --output .mcp.json generates only a machine-local Claude-compatible form with an absolute executable path; keep it uncommitted.

mcp-stdio discovers the authoritative file from its project working directory: %APPDATA%/agentic-hil/projects/<project-id>/config.yaml on Windows or ${XDG_CONFIG_HOME:-~/.config}/agentic-hil/projects/<project-id>/config.yaml on POSIX. Set AGENTIC_HIL_CONFIG only when an operator-controlled absolute-path override is needed; never commit a machine-specific override in repository-controlled MCP configuration.

Configuration

agentic-hil setup already created this file; agentic-hil init creates only it, without the skill and the MCP registration. Either way it lands outside the repository, deny-by-default, with workspace_root bound to the current absolute project path. It defines the target, artifact roots, and the project's named devices — debug probes, serial ports, and CAN buses — each with its own deny-by-default permissions:

workspace_root: "/absolute/path/to/firmware-project"
state_root: "/absolute/operator-controlled/user-state/agentic-hil"

target:
  name: "sensor-board"
  controller: "stm32f4"

# Every device is named, and every device carries its own permissions. Test
# plan steps address a device by that name. The MCP tool surface drives the
# single configured probe, so a project with several probes runs multi-board
# work through `agentic-hil test-reactor`.
debuggers:
  dut:
    type: "openocd"          # or "pyocd" (most Cortex-M targets), or "stlink" (STM32CubeProgrammer CLI)
    probe_id: "0668FF383036" # required once several probes are configured: it is
                             # the only field that selects a physical probe
    interface_cfg: "/absolute/path/to/openocd/scripts/interface/stlink.cfg"
    target_cfg: "/absolute/path/to/openocd/scripts/target/stm32f4x.cfg"
    timeout_s: 60
    permissions:
      allow_probe: true
      allow_flash: true
      allow_reset: true
      allow_raw_debugger_commands: false
      allow_mass_erase: false
  probe_b:                   # a second, independently controlled board
    type: "openocd"
    probe_id: "0669FF505153" # pin the physical probe so boards cannot swap silently
    interface_cfg: "/absolute/path/to/openocd/scripts/interface/stlink.cfg"
    target_cfg: "/absolute/path/to/openocd/scripts/target/stm32f4x.cfg"
    target:                  # optional per-probe override of the project target
      name: "sensor-node"
    permissions:
      allow_probe: true
      allow_flash: false     # this board is read-only for now

debug:
  allowed_symbols: ["main", "sensor_state", "capture_done", "capture_buffer"]
  allow_all_symbols: false

artifacts:
  allowed_roots: ["build"]   # firmware may only be flashed from here
  allowed_extensions: [".elf", ".hex", ".bin"]

com_ports:
  dut_uart:
    device: "/dev/ttyACM0"  # Windows example: "COM5"
    baudrate: 115200
    permissions:
      allow_read: true
      allow_write: true

can_buses:
  dut_can:
    adapter: "socketcan"     # or "peak", or "process" for a custom bridge
    channel: "can0"
    bitrate: 500000
    permissions:
      allow_read: true
      allow_write: false

The operator reviews this file and explicitly enables only the required resources and permissions. workspace_root is mandatory and must exactly match the project root used to launch Agentic HIL. state_root is also mandatory: it must be an absolute, operator-controlled directory outside and non-overlapping with the workspace. Every trusted launcher for the same host resources must use this pinned root; changing LOCALAPPDATA or XDG_STATE_HOME after initialization does not change a running service's coordination namespace. Configured debugger/GDB/process-bridge executables and OpenOCD scripts must resolve to existing host-owned files outside the workspace. Empty symbol allowlists deny all symbols; unrestricted symbol access requires allow_all_symbols: true. Set optional resource_id on a debugger, COM, or CAN entry when different host paths/wrappers address the same physical resource; matching IDs share one cross-process lease. Two debuggers entries that resolve to the same physical probe are rejected outright, so a plan naming one board can never drive another.

All hardware entry points use this same file: doctor, mcp-stdio, com-stdio, the pytest plugin, and test-reactor. Deprecated configuration-path options remain parseable for patch-release compatibility but cannot redirect authority away from the discovered external file.

Export the full JSON schema with agentic-hil schema --output agentic-hil-config.schema.json.

MCP Tools

Group Tools Notes
Debugger debugger_info, debugger_probes_list, probe_target, reset_target Probe-ID listing uses pyOCD or STM32CubeProgrammer; OpenOCD cannot enumerate all attached probes
Firmware flash_firmware, artifact_upload artifacts are validated, rechecked, and copied to private process staging before flashing; allow_reset is additionally required when reset_after_flash is requested
Serial com_ports_list, com_session_start, com_session_stop, com_write, com_read named ports only, buffered background reader
CAN can_buses_list, can_session_start, can_session_stop, can_send, can_read PEAK, SocketCAN, or a process bridge
Diagnostics get_last_report, classify_last_error structured error classification with likely causes
Debug sessions debug_* (start/stop/status, breakpoints, continue/halt, symbol info, memory dump) typed GDB/MI sessions via the OpenOCD backend's gdbserver; unexpected breakpoints and target exceptions are returned as structured stop reasons; symbol allowlist and dump-size limits come from the debug: config section

A typical loop: build firmware → flash_firmware with reset_after_flash: true when a fresh boot is required → com_session_start → stimulate via com_write/can_send → assert on com_read/can_read → on failure, classify_last_error.

Test Reactor

Write a hardware test as a plan, not a script: one reviewable YAML file describes flash → stimulate → break → dump, and the reactor guarantees it is either executed exactly as written or rejected before the first hardware action. No half-run plans, no leftover breakpoints, no orphaned debug or UART sessions — the same file behaves identically on your bench and in CI, and it diffs like code in a pull request.

The test reactor executes a strict, sequential YAML or JSON test plan against the named devices in the authoritative config. A debugger step names a debuggers entry (debugger: <name>); a UART step names a com_ports entry (port_id: <name>). debugger may be omitted while the config declares exactly one probe — with several, the plan must name one, because picking a board for the author is how the wrong board gets flashed. Every probe carries its own permissions, so a step is judged by the grants of the board it names. Probes other than the bound one run on their own service under one shared project lease. Typed debug actions currently require OpenOCD; flash/UART-only plans can use the other backends.

Before the first hardware action, the reactor validates every device name, permission, session order, artifact, breakpoint symbol, and dump path. Execution is fail-fast, each reactor-created breakpoint is removed after use, and debug/UART sessions opened by the runner are closed even when a step raises an exception. Breakpoint and dump symbols must be present in debug.allowed_symbols unless allow_all_symbols: true is explicitly set.

The run pipeline is deliberately simple — validate everything, then execute, then always clean up:

Test reactor pipeline: plan → preflight (no hardware touched; any finding rejects the whole plan) → sequential fail-fast execution → guaranteed cleanup → structured report
# .agentic-hil/testconfig.yaml
version: 2
name: capture-state
steps:
  - {debugger: dut, action: flash, image_path: build/app.elf}
  - {port_id: dut_uart, action: uart_open}
  - {debugger: dut, action: debug_start, image_path: build/app.elf, mode: attach}
  - {debugger: dut, action: run_until_breakpoint, location: capture_done, timeout_s: 5}
  - {debugger: dut, action: dump_memory, symbol: capture_buffer, output_path: build/capture.hex}
  - {debugger: dut, action: debug_stop}
  - {port_id: dut_uart, action: uart_close}

.agentic-hil/testconfig.yaml and --test-config select only this test plan: ordered test steps and the device names they run on. They contain no hardware resources or permissions. The reactor gets all hardware settings from the discovered authoritative config or its AGENTIC_HIL_CONFIG override:

agentic-hil test-reactor --test-config .agentic-hil/testconfig.yaml

See examples/testconfig.example.yaml for the expanded form.

Safety Model

Leave an agent alone with real bench hardware and still trust the board, the host, and the logs afterwards. The agent can edit every file inside the workspace, so nothing there is trusted — all authority sits outside, beyond its reach:

Trusted policy boundary: the agent-writable workspace talks to Agentic HIL over MCP stdio only; the authoritative config and state_root (leases, quarantine, audit chain) live on the operator-controlled host outside the workspace

Every hardware action, from every entry point, walks the same gate:

Action gate: tool call → deny-by-default permission gate → validation → owner lease → execution with pinned executable and timeout → SHA-256 audit chain → structured JSON result; a crash or unknown effect quarantines the resource until operator recovery
  • Deny-by-default permission switches per action class, with deliberate interlocks — flashing is refused while allow_raw_debugger_commands or allow_mass_erase is enabled. permission_denied results are authoritative and agents are instructed to stop (see AGENTS.md).
  • Configured executables and OpenOCD scripts are pinned at startup and must resolve outside the workspace; firmware artifacts are validated, hashed, and staged in a private process directory before any backend consumes them.
  • Serial/CAN writes and reads are size- and buffer-capped; debugger calls run with timeouts and OpenOCD's TCP servers disabled.
  • One live owner per project and physical probe/port/bus across all entry points; a second process gets resource_busy, and crashes or unknown effects quarantine the resource until explicit operator recovery (TROUBLESHOOTING.md).
  • Canonical reports and the tamper-evident audit chain live under the operator-pinned state_root; workspace logs and reports are untrusted mirrors, verified against the chain on read.

The complete threat model and design rationale: docs/security-design.md.

pytest Plugin

Installing agentic_hil registers the agentic_hil pytest plugin, so CI regression suites can drive the same permission-gated tools without an MCP client.

The agentic_hil fixture uses the same discovered config or absolute-path override as every other entry point and verifies that its workspace_root matches the pytest rootdir. Tests using the fixture skip when no config exists and fail loudly when an available config is invalid. Pytest executes project code and is therefore not a sandbox or security boundary; real unattended hardware runners must still use OS isolation and host-managed invocation. COM and CAN sessions opened during a test are stopped afterwards so stimulus state cannot leak between tests. See examples/nucleo-f446re_demo/ for the complete loop on real hardware.

Common Commands

agentic-hil setup --agent <claude-code|codex|opencode>
agentic-hil init
agentic-hil doctor
agentic-hil debugger-probes
agentic-hil com-ports
agentic-hil mcp-config --output .mcp.json
agentic-hil mcp-stdio
agentic-hil test-reactor --test-config .agentic-hil/testconfig.yaml
agentic-hil com-stdio --port dut_uart
agentic-hil schema --output agentic-hil-config.schema.json
agentic-hil test-schema --output testconfig.schema.json
agentic-hil skill-install --agent opencode

Platform Support

Linux, macOS, and Windows (CI-tested on Python 3.10–3.13). Debugger backends: OpenOCD, pyOCD (agentic-hil[pyocd] — covers most ARM Cortex-M targets via CMSIS packs and CMSIS-DAP/ST-Link/J-Link probes, set debuggers.<name>.target_type), and STM32CubeProgrammer CLI (auto-discovered on Windows). Direct CAN requires agentic-hil[can] (python-can); CAN also supports a configured process bridge backend.

Development

python -m pip install -e '.[dev]'
ruff check src tests evals tools
pytest
python -m build
twine check dist/*

The package is configured for PyPI publishing through GitHub trusted publishing in .github/workflows/workflow.yml.

Security

Policy bypasses are treated as vulnerabilities — see SECURITY.md.

License

Apache-2.0 — see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

agentic_hil-0.6.0.tar.gz (247.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

agentic_hil-0.6.0-py3-none-any.whl (177.2 kB view details)

Uploaded Python 3

File details

Details for the file agentic_hil-0.6.0.tar.gz.

File metadata

  • Download URL: agentic_hil-0.6.0.tar.gz
  • Upload date:
  • Size: 247.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for agentic_hil-0.6.0.tar.gz
Algorithm Hash digest
SHA256 06b785b2bb01f647f5ae1303dcf3a41f124af587c633344d717bfba6f1f8b1de
MD5 3cfaf0d2ab0fc54aef3a7814b0306add
BLAKE2b-256 18ba74c6477fe9499cc93b5c806df38e5c24d1226ce47cb3c640c0f7a025b752

See more details on using hashes here.

Provenance

The following attestation bundles were made for agentic_hil-0.6.0.tar.gz:

Publisher: workflow.yml on agentic-hil/agentic-hil

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file agentic_hil-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: agentic_hil-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 177.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for agentic_hil-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ea9a6527dd1f005b12f75ee47e63b1ea70e4d95bd37e96939ff8fcc8e8268346
MD5 fe65417709aa50ff10ebf0dd97e8742a
BLAKE2b-256 014bf87bef56c5810188d30403fab4b2604a029b2cd429e9be853cae26427c30

See more details on using hashes here.

Provenance

The following attestation bundles were made for agentic_hil-0.6.0-py3-none-any.whl:

Publisher: workflow.yml on agentic-hil/agentic-hil

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page