Prismer Python Debugpy

Prismer execution contract

This is the uniquely named prismer-python-debugpy skill, adapted from Hermes. Use the actual tools exposed by the executing host; examples using terminal, process, delegate_task, vision_analyze or browser_* are not tool registrations. Missing dependencies do not hide this skill. Report command startup, version, account/permissions and task-specific live verification separately. Use task-owned artifact paths and existing user authorization; do not change shared accounts, Runtime/provider configuration, global security settings or unrelated work. See NOTICE.md and LICENSE for resource provenance. Runtime availability and upstream-entry suppression are owned by the integration layer.

Python Debugger (pdb + debugpy)

Overview

Three tools, picked by situation:

Start with breakpoint(). It's the cheapest thing that works.

When to Use

• A test fails and the traceback doesn't reveal why a value is wrong
• You need to step through a function and watch a collection mutate
• A long-running process (hermes gateway, tui_gateway) misbehaves and you can't restart it
• Post-mortem: an exception fired in prod-ish code and you want to inspect locals at the crash site
• A subprocess / child (Python _SlashWorker, PTY bridge worker) is the actual bug site

Don't use for: things print() / logging.debug solve in under a minute, or things pytest -vv --tb=long --showlocals already reveals.

pdb Quick Reference

Inside any pdb prompt ((Pdb)):

The interact command is the most powerful — you can import anything, inspect complex objects, even call methods that mutate state. Locals are read-only by default; use !x = 42 from the (Pdb) prompt to mutate.

Recipe 1: Local breakpoint

Easiest. Edit the file:

def compute(x, y):
    result = some_helper(x)
    breakpoint()           # <-- drops into pdb here
    return result + y

Run the code normally. You land at the breakpoint() line with full access to locals.

Don't forget to remove breakpoint() before committing. Use git diff or a pre-commit grep:

rg -n 'breakpoint\(\)' --type py

Recipe 2: Launch a script under pdb (no source edits)

python -m pdb path/to/script.py arg1 arg2
# Lands at first line of script
(Pdb) b path/to/script.py:42
(Pdb) c

Recipe 3: Debug a pytest test

Use raw pytest in a scoped test environment for an interactive debugger:

# Drop to pdb on failure (or on any raised exception):
python -m pytest <exact-test-path> -x --pdb

# Drop to pdb at the START of the test:
python -m pytest tests/path/to/test_file.py::test_name --trace

# Show locals in tracebacks without pdb:
python -m pytest tests/path/to/test_file.py --showlocals --tb=long

The repository runner may capture output and cannot always support pdb. For an interactive session use a TTY and select one test, then rerun the actual canonical runner non-interactively for regression verification:

source .venv/bin/activate
python -m pytest tests/foo_test.py::test_bar --pdb

Keep the test environment isolated; do not import shared production credentials.

Recipe 4: Post-mortem on any exception

import pdb, sys
try:
    run_the_thing()
except Exception:
    pdb.post_mortem(sys.exc_info()[2])

Or wrap a whole script:

python -m pdb -c continue script.py
# When it crashes, pdb catches it and you're in the frame of the exception

Or set a global hook in a repl/jupyter:

import sys
def excepthook(etype, value, tb):
    import pdb; pdb.post_mortem(tb)
sys.excepthook = excepthook

Recipe 5: Remote debug with debugpy (attach to running process)

For long-lived processes: Hermes gateway, tui_gateway, a daemon, a process that's already misbehaving and can't be restarted clean.

Setup

source <hermes-agent-repo>/.venv/bin/activate
pip install debugpy

Pattern A: Source-edit — process waits for debugger at launch

Add near the top of the entry point (or inside the function you want to debug):

import debugpy
debugpy.listen(("127.0.0.1", 5678))
print("debugpy listening on 5678, waiting for client...", flush=True)
debugpy.wait_for_client()
debugpy.breakpoint()       # optional: pause immediately once attached

Start the process; it blocks on wait_for_client().

Pattern B: No source edit — launch with -m debugpy

python -m debugpy --listen 127.0.0.1:5678 --wait-for-client your_script.py arg1

Equivalent for module entry:

python -m debugpy --listen 127.0.0.1:5678 --wait-for-client -m your.module

Pattern C: Attach to an already-running process

Needs the PID and debugpy preinstalled in the target's environment:

python -m debugpy --listen 127.0.0.1:5678 --pid <pid>
# debugpy injects itself into the process. Then attach a client as below.

If attach is blocked by OS policy, do not lower global ptrace protections. Start a new task-owned process under debugpy, or ask the system owner for an approved debugging environment.

Connecting a client from the terminal

The easiest terminal-side DAP client is VS Code CLI or a small script. From inside Hermes you have two practical options:

Option 1: debugpy's own CLI REPL — not an official feature, but a tiny DAP client script:

Use the bundled scripts/dap_client.py (Python stdlib); resolve its directory from the installed skill, not cwd. With that directory on sys.path:

import socket
from dap_client import DapClient
with socket.create_connection(("127.0.0.1", 5678), timeout=5) as sock:
    client = DapClient(sock, timeout=5)
    client.request("initialize", {"adapterID": "python"})
    attach_seq = client.send("attach", {})
    client.wait(lambda p: p.get("event") == "initialized")
    # Configure the exact authorized source and line here.
    client.request("setBreakpoints", {"source": {"path": SOURCE},
                                     "breakpoints": [{"line": LINE}]})
    client.request("configurationDone")
    client.response(attach_seq)
    # Continue/step only the authorized target; disconnect when finished.
    client.request("disconnect", {"terminateDebuggee": False})

The transport handles EOF, timeout, size limits, events and request_seq matching. It is not a full IDE, and live debugpy handshake compatibility still needs a real session. Do not leave the target paused or enable remote/public listeners.

Option 2: Attach from VS Code / Cursor / Zed — if the user has one open, they can add a launch.json:

{
  "name": "Attach to Hermes",
  "type": "debugpy",
  "request": "attach",
  "connect": { "host": "127.0.0.1", "port": 5678 },
  "justMyCode": false,
  "pathMappings": [
    { "localRoot": "${workspaceFolder}", "remoteRoot": "<hermes-agent-repo>" }
  ]
}

Option 3: Ditch DAP, use remote-pdb — usually what you actually want from a terminal agent:

pip install remote-pdb

In your code:

from remote_pdb import set_trace
set_trace(host="127.0.0.1", port=4444)   # blocks until connection

Then from the terminal:

nc 127.0.0.1 4444
# You get a (Pdb) prompt exactly as if debugging locally.

remote-pdb is the cleanest agent-friendly choice when debugpy's DAP protocol is overkill. Use debugpy only when you actually need IDE integration.