recamera-intellisense-x-7

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原始内容

name: recamera-intellisense description: Register and control reCamera Pro devices from an agent — onboard cameras, pick AI detection models by name, configure rule-based triggers (AI / timer / GPIO / TTY / HTTP / always-on / sound-event), poll detection events with snapshots, capture JPG/RAW/MP4 on demand, browse recorded clips, manage storage, and drive GPIO pins. Uses a bundled stdlib-only Python SDK invoked via a single JSON argument per command. Trigger this skill whenever the user mentions reCamera, camera onboarding, object/person detection, sound event detection, event polling, snapshot or video capture, recording rules, on-device GPIO, or asks to wire a physical camera into an agent workflow — even when they don't name the product explicitly. metadata: { "openclaw": { "emoji": "📷", "requires": { "bins": ["python3"], "config_paths": ["~/.recamera/devices.json"] } } }

user-invocable: true

reCamera Intellisense

Drive one or more reCamera Pro devices: device registration, AI detection configuration, sound-event detection, rule-based recording, event polling, on-demand capture, storage/records management, and GPIO control. The skill bundles a Python SDK (scripts/recamera_intellisense/) that is the single source of truth for every command's parameters; the same package backs the MCP server, so CLI and MCP schemas are identical.

Requirements

  • python3 ≥ 3.9 (stdlib only — no pip install needed)
  • Reachable reCamera HTTP/HTTPS API (default TCP 80/443)
  • Per-device auth token (Web Console → Device Info → Connection Settings → HTTP/HTTPS). Local devices may not require a token — pass an empty string. Tokens are arbitrary non-whitespace strings.
  • Credential store at ~/.recamera/devices.json (auto-created, chmod 600). Shared with the MCP server if installed.

Security

  • Tokens are long-lived bearer credentials — do not commit ~/.recamera/devices.json (auto-created chmod 600), and avoid logging the token field.
  • Same-origin redirect enforcement — the HTTP client refuses to follow any 3xx redirect whose (scheme, host, port) differs from the registered device, so the bearer token is never forwarded to an unexpected origin (SSRF-safe).
  • Secure-by-default TLS — HTTPS devices validate the certificate chain unless you explicitly register with "allow_unsecured": true (intended for self-signed LAN certs; do not use on the public Internet). Local HTTPS devices always use self-signed certificates, so register them with "protocol":"https" and "allow_unsecured":true.
  • HTTP is the default transport. On untrusted networks, provision HTTPS on the device and register with "protocol":"https" plus a trusted cert.
  • Path hygiene — fetch_file / delete_file reject non-absolute paths, .. traversal segments, and NUL bytes client-side; the daemon additionally enforces an allowlist.
  • Scope of trust: this skill reads and writes files on the camera (captures, events), controls GPIO, and can format storage. Only point it at hardware you own.
  • Source review encouraged — the full SDK is under scripts/recamera_intellisense/; every command is a short, stdlib-only Python function.

Invocation

The bundled SDK runs without installation. From {baseDir} (the skill root):

# One-shot (recommended)
PYTHONPATH="{baseDir}/scripts" python3 -m recamera_intellisense <command> '<json>'

# Direct module execution also works
PYTHONPATH="{baseDir}/scripts" python3 {baseDir}/scripts/recamera_intellisense/device.py <command> '<json>'

# Convenience alias for a session
export PYTHONPATH="{baseDir}/scripts"
alias rci='python3 -m recamera_intellisense'
rci list_devices

Calling convention (uniform across every command):

  • Input: exactly one CLI positional argument — a JSON object whose keys match the function's keyword parameters. Omit the argument for commands with no required fields (e.g. list_devices).
  • Success: pretty-printed JSON on stdout (mutating commands may print nothing); exit code 0.
  • Failure: actionable message on stderr; non-zero exit code. Surface the stderr back to the user and propose one concrete fix.
  • Discovery: python3 -m recamera_intellisense with no args prints every command with its required/optional keys.

Python use (in-process, preferred for loops):

import sys, time
sys.path.insert(0, "{baseDir}/scripts")
from recamera_intellisense import (
    list_devices, set_detection_rules, get_detection_events,
    capture_image, fetch_file,
)

Command catalogue

All commands accept device_name (string) unless noted. device_name resolves against ~/.recamera/devices.json; run list_devices to see what is registered. Selector commands (get_device, remove_device, everything that takes device_name) also accept the alias name, so a record emitted by list_devices can be forwarded verbatim.

Device registry

Command Required Optional
detect_local_device host port, token (empty for devices that do not require auth), timeout
add_device name, host, token (empty for local devices) protocol (http/https), allow_unsecured, port
update_device device_name any of host, token (empty for local devices), protocol, allow_unsecured, port
remove_device / get_device device_name —
list_devices — —

add_device / update_device probe /api/v1/recamera-generate-204 before persisting; a bad token or host fails fast.

Detection (high-level facade, AI-only)

Command Required Optional
get_detection_models_info device_name —
get_detection_model device_name —
set_detection_model device_name one of model_id or model_name, fps (default 30)
get_detection_schedule / set_detection_schedule device_name schedule (null / empty list / omit the key disables → always active)
get_detection_rules device_name —
set_detection_rules device_name, rules ensure_writer (default true), ensure_storage (default true)
get_detection_events device_name start_unix_ms, end_unix_ms (inclusive)
clear_detection_events device_name —

Acoustic (sound-event detection)

Command Required Optional
get_active_acoustic_model device_name —

Use this to discover labels for the sed record trigger.

set_detection_rules installs an inference_set record trigger and, by default, enables the rule pipeline with a JPG writer and a ready storage slot — override only if the caller already configured them. get_detection_rules returns [] whenever the current trigger is not inference_set.

Rule system (low-level, all trigger kinds)

get_rule_system_info, get_record_config, set_record_config, get_schedule_rule, set_schedule_rule, get_record_trigger, set_record_trigger, activate_http_trigger. Use these to combine detection with non-AI triggers (see below) or to tune the writer. Trigger kinds include inference_set, timer, gpio, tty, http, always_on, and sed (sound-event detection).

Capture (independent of rule pipeline)

Command Required Optional
get_capture_status device_name —
start_capture device_name output (absolute on-device directory; omit to use the selected storage slot), format (JPG/RAW/MP4), video_length_seconds
stop_capture device_name —
capture_image device_name output, timeout

capture_image is the one-shot helper: it starts a JPG, polls until terminal, fetches the file, and returns {event, path, size, content_base64} (where event is the terminal capture event with status == "COMPLETED"). For MP4, drive the pipeline manually: start_capture → poll get_capture_status until last_capture.status is terminal (COMPLETED / FAILED / INTERRUPTED / CANCELED) → fetch_file using the event's output_directory + file_name. stop_capture is only meaningful for in-flight video.

Storage

get_storage_status, set_storage_slot, configure_storage_quota, storage_task_submit, storage_task_status, storage_task_cancel. Actions: FORMAT, FREE_UP, EJECT, REMOVE_FILES_OR_DIRECTORIES (the last requires files, paths relative to the slot's data directory). Default is async; "sync": true is accepted only for fast actions (EJECT, REMOVE_FILES_OR_DIRECTORIES) — FORMAT/FREE_UP must run async and be polled with storage_task_status.

Records (relay-backed browsing, recommended for recordings)

  • list_records {device_name, path?, dev_path?, limit?, offset?} — path is relative to the record data directory (empty = root). Returns a paginated object {entries, offset, limit, total, has_more}; directories sort first, then by name. limit defaults to 100, max 500. Slot auto-resolved if dev_path omitted.
  • fetch_record {device_name, path, dev_path?, max_inline_bytes?} — images/≤5 MiB inline as base64; videos or larger payloads return {url, size, note}.

Files (daemon, arbitrary absolute paths)

  • fetch_file {device_name, path, max_inline_bytes?} — for detection-event snapshots (snapshot_path is absolute) and arbitrary allowed paths. Returns {path, content_type, size, content_base64} inline, or {path, content_type, size, note} when oversized. (Python callers may also pass raw=True to get raw bytes; the CLI does not accept raw.)
  • delete_file {device_name, path}.

GPIO

list_gpios, get_gpio_info {pin_id}. set_gpio_value {pin_id, value} drives 0 or 1 and auto-reconfigures the pin as push-pull output. get_gpio_value {pin_id, debounce_ms?} returns 0 or 1 and auto-reconfigures the pin as floating input. Debounce defaults to 100 ms; when debounce_ms > 0 and the pin's edge mode was none, the SDK also switches it to both-edge detection (the device rejects debounce with edge=none). Both calls have this side effect on pin direction — don't use them as read-only probes.

Key schemas

Detection rule

{
  "name": "front-door-person",
  "debounce_times": 3,
  "confidence_range_filter": [0.25, 1.0],
  "label_filter": ["person"],
  "region_filter": [[[0.1,0.1],[0.9,0.1],[0.9,0.9],[0.1,0.9]]]
}
  • label_filter contains label names as they appear in get_detection_models_info.labels (vision) or get_active_acoustic_model.labels (sound) — never indexes. Leave empty to match any label.
  • region_filter is a list of polygons of normalized [x, y] in [0,1]; omit or leave null for the full frame.
  • confidence_range_filter is [min, max] with both in [0.0, 1.0] and min ≤ max; defaults to [0.25, 1.0]. debounce_times defaults to 3 (consecutive matching frames).

Schedule range

{"start": "Mon 08:00:00", "end": "Mon 18:00:00"} — three-letter day (Mon/Tue/Wed/Thu/Fri/Sat/Sun); Day 24:00:00 is valid. Pass a list; null or [] disables and means "always active".

Record trigger (tagged union, kind field)

{"kind":"inference_set", "rules":[ /* DetectionRule[] */ ]}
{"kind":"timer", "interval_seconds": 60}
{"kind":"gpio", "num":1, "state":"PULL_UP", "signal":"FALLING", "debounce_ms":50}
{"kind":"tty",  "name":"tty0", "command":"SHOOT"}
{"kind":"http"}
{"kind":"always_on"}
{"kind":"sed", "model_id":"", "consecutive_window_ms":0, "confidence_range_filter":[0.5,1.0], "label_filter":["Cat"]}

For gpio provide one of name or num; state ∈ {DISABLED,FLOATING,PULL_UP,PULL_DOWN}; signal ∈ {HIGH,LOW,RISING,FALLING}. For sed, model_id is the acoustic runtime_head_id; leave it empty to accept the currently active model, and use labels from get_active_acoustic_model.

Detection event

{"timestamp":"2026-04-20T12:34:56Z","timestamp_unix_ms":1745152496000,"rule_name":"front-door-person","snapshot_path":"/mnt/.../abcd.jpg"}

snapshot_path (when present) is an absolute on-device path — feed it to fetch_file, not fetch_record.

Agent rules

  1. Always supply a complete JSON object; never prompt interactively.
  2. Identify the target by device_name (preferred). list_devices is cheap — call it if unsure.
  3. Token is a string without whitespace; it may be empty for local/trusted devices that do not require auth.
  4. label_filter takes label names from get_detection_models_info (vision) or get_active_acoustic_model (sound). Do not translate names into numeric indexes — the MCP/SDK expects strings.
  5. For AI-only use, prefer set_detection_rules (it ensures writer + storage). For hybrid triggers (GPIO, timer, TTY, HTTP, always-on, SED), use set_record_trigger directly — only one record trigger is active at a time.
  6. Poll get_detection_events with a checkpointed start_unix_ms (1–10 s cadence). Events accumulate on-device; clear_detection_events to reset.
  7. Prefer event metadata first; fetch imagery only when the user needs it. Images/≤5 MiB inline; videos/larger return a URL + note.
  8. When a storage slot is required (rules, timer, always-on), the facade's ensure_storage=true default will select the internal slot if none is enabled; for removable media the user must provision a slot beforehand.

Workflows

1 — Onboard a device

  1. (Optional) detect_local_device '{"host":"192.168.1.100"}' → returns {detected, host, port, protocol, allow_unsecured}.
  2. add_device '{"name":"cam1","host":"192.168.1.100","token":"sk_xxxx","protocol":"https","allow_unsecured":true}' (copy protocol/allow_unsecured from the detection result). Local HTTP device: add_device '{"name":"local","host":"127.0.0.1","token":""}'.
  3. list_devices to confirm.

2 — Person/object detection by name

  1. get_detection_models_info → inspect labels to choose a target label.
  2. set_detection_model '{"device_name":"cam1","model_name":"yolo11n"}'.
  3. set_detection_rules '{"device_name":"cam1","rules":[{"name":"front-door-person","label_filter":["person"],"debounce_times":3}]}'.
  4. (Optional) set_detection_schedule for office hours.
  5. clear_detection_events to start fresh.

3 — Monitor events (long-running)

ckpt = int(time.time() * 1000)
while True:
    events = get_detection_events(device_name="cam1", start_unix_ms=ckpt)
    for e in events:
        ckpt = max(ckpt, e["timestamp_unix_ms"] + 1)
        if e.get("snapshot_path"):
            img = fetch_file(device_name="cam1", path=e["snapshot_path"])
            # img["content_base64"] or dispatch on img["url"] when oversized
    time.sleep(2)

4 — On-demand snapshot / video

  • JPG: capture_image '{"device_name":"cam1"}' → returns base64 inline.
  • MP4: start_capture '{"device_name":"cam1","format":"MP4","video_length_seconds":10}', then poll get_capture_status until last_capture.status is terminal, then fetch_file with the absolute path assembled from the event's output_directory + file_name.

5 — Browse and retrieve recordings

  • list_records '{"device_name":"cam1"}' → {entries, offset, limit, total, has_more}; iterate top-level date folders from entries.
  • list_records '{"device_name":"cam1","path":"2026-04-20","limit":200,"offset":0}' — drill in, paginate if has_more is true.
  • fetch_record '{"device_name":"cam1","path":"2026-04-20/clip-001.mp4"}' → returns {url, note} for video.

6 — Hybrid trigger (GPIO pulse → 5 s MP4)

{"device_name":"cam1","trigger":{"kind":"gpio","num":1,"state":"PULL_UP","signal":"FALLING","debounce_ms":50}}

Pair with set_record_config '{"device_name":"cam1","rule_enabled":true,"writer_format":"MP4","writer_interval_ms":0}' and ensure a storage slot is selected (set_storage_slot).

7 — GPIO control

  • Read: get_gpio_value '{"device_name":"cam1","pin_id":2,"debounce_ms":50}' → prints 0 or 1.
  • Write: set_gpio_value '{"device_name":"cam1","pin_id":1,"value":1}' → prints 1.

8 — Sound-event detection trigger

  1. get_active_acoustic_model '{"device_name":"cam1"}' → inspect labels (e.g. ["Cat","_background_noise_"]).
  2. Configure the rule pipeline for the desired writer format, e.g. set_record_config '{"device_name":"cam1","rule_enabled":true,"writer_format":"MP4","writer_interval_ms":5000}'.
  3. set_record_trigger '{"device_name":"cam1","trigger":{"kind":"sed","model_id":"","consecutive_window_ms":0,"confidence_range_filter":[0.5,1.0],"label_filter":["Cat"]}}'.
  4. Ensure a storage slot is selected (get_storage_status / set_storage_slot).
  5. Poll get_detection_events for clips triggered by the target sound class.

CLI quickstart

export PYTHONPATH="{baseDir}/scripts"
alias rci='python3 -m recamera_intellisense'

rci # list all commands
rci add_device '{"name":"cam1","host":"192.168.1.100","token":"sk_xxxx"}'
# Local HTTPS device with self-signed cert and no token
rci add_device '{"name":"local","host":"127.0.0.1","token":"","protocol":"https","allow_unsecured":true}'
rci list_devices
rci get_detection_models_info '{"device_name":"cam1"}'
rci set_detection_model '{"device_name":"cam1","model_name":"yolo11n"}'
rci set_detection_rules '{"device_name":"cam1","rules":[{"name":"person","label_filter":["person"]}]}'
rci get_active_acoustic_model '{"device_name":"cam1"}'
rci set_record_trigger '{"device_name":"cam1","trigger":{"kind":"sed","model_id":"","consecutive_window_ms":0,"confidence_range_filter":[0.5,1.0],"label_filter":["Cat"]}}'
rci get_detection_events '{"device_name":"cam1","start_unix_ms":1745150000000}'
rci capture_image '{"device_name":"cam1"}'
rci list_records '{"device_name":"cam1"}'
rci fetch_record '{"device_name":"cam1","path":"2026-04-20/evt-001.jpg"}'
rci get_storage_status '{"device_name":"cam1"}'
rci set_gpio_value '{"device_name":"cam1","pin_id":1,"value":1}'

Execution checklist (copy for multi-step tasks)

reCamera Task Progress
- [ ] Resolve device (list_devices, then device_name)
- [ ] Validate JSON (required keys per command)
- [ ] Ensure prerequisites (storage slot, schedule, model) when configuring rules
- [ ] Run command; parse stdout or handle stderr
- [ ] For polling, checkpoint start_unix_ms and rate-limit
- [ ] On error, surface stderr + one concrete fix

Troubleshooting

Symptom Likely cause / fix
HTTP 401/403 Token missing/invalid — re-copy from Web Console
Connection refused / timed out Wrong host/port/protocol; verify LAN reachability and device power.
HTTPS certificate error Add "allow_unsecured": true for self-signed LAN certs (not for the public Internet). Local HTTPS devices always use self-signed certs, so this is required.
add_device rejects empty token Empty tokens are only valid for local/trusted devices. For remote devices, copy the token from the Web Console.
get_detection_rules returns [] Current trigger is not inference_set — call set_detection_rules (or inspect get_record_trigger).
Rules set but no events No storage slot configured (get_storage_status); schedule window inactive; region_filter/confidence_range_filter too tight; debounce_times too high.
fetch_record returns only {url, note} File is a video or exceeds max_inline_bytes (default 5 MiB). Fetch the URL directly or raise the budget.
storage_task_submit rejects sync=true FORMAT/FREE_UP must run async — resubmit with "sync": false and poll storage_task_status.
Schedule rejected Use Day HH:MM:SS with three-letter day; Day 24:00:00 valid.
set_detection_model fails: "not installed" Run get_detection_models_info and use one of the returned names/ids.
get_active_acoustic_model returns null No sound-event model is active. Open /extension/acousticslab on the device and activate a model.
set_record_trigger (SED) fails Ensure a model is active (get_active_acoustic_model); verify label_filter uses returned label names and consecutive_window_ms is within [0, 60000].
detect_local_device returns {"detected":false} No reCamera API found on the tried ports. Verify the device is powered on, on the same network, and that its HTTP/HTTPS API is enabled. Pass port if the device uses a non-standard port.
start_capture rejects output with code 30022 output must be an on-device directory under a mounted storage slot (check get_storage_status.mount_path). Local paths like /tmp/... are not valid — omit output to use the default slot, then fetch_file the result.
ImportError: recamera_intellisense Set PYTHONPATH="{baseDir}/scripts" or cd {baseDir}/scripts before python3 -m recamera_intellisense.
ImportError: attempted relative import with no known parent package PYTHONPATH is wrong or you ran the file from outside the package. Set PYTHONPATH="{baseDir}/scripts" and use python3 -m recamera_intellisense <command>, or run any module directly with PYTHONPATH set.

Reference pointers

  • Command schemas at runtime: python3 -m recamera_intellisense (prints every command with required/optional keys).
  • Per-module sources: scripts/recamera_intellisense/{device,detection,model,acoustic,rule,storage,records,capture,files,gpio,relay}.py — short, stdlib-only, each file's COMMAND_SCHEMAS dict is authoritative.
  • Credential store: ~/.recamera/devices.json (schema matches the Rust DeviceEntry in the MCP server; the two surfaces interoperate).

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