wildedge-sdk 0.1.5

ML inference monitoring for Python: on-device and remote models

On-device ML inference monitoring for Python. Tracks latency, errors, and model metadata without any code modifications.

Pre-release: The API is unstable and may change between versions. Semantic versioning will apply from the first stable release.

Install

uv add wildedge-sdk

CLI

Drop wildedge run in front of your existing command. WildEdge instruments the runtime before your code starts. No SDK calls required in user code.

WILDEDGE_DSN="https://<secret>@ingest.wildedge.dev/<key>" \
wildedge run --integrations timm -- python app.py

Validate your environment before deploying:

wildedge doctor --integrations all --network-check

Useful flags:

Flag	Description
--integrations	Comma-separated list of integrations to activate (or all)
--hubs	Hub trackers to activate: huggingface, torchhub
--print-startup-report	Print per-integration status at startup
--strict-integrations	Fail if a requested integration can't be loaded
--attachments	Enable opt-in raw input/output attachment upload
--no-propagate	Don't pass WildEdge env vars to child processes

SDK

import wildedge

client = wildedge.init(
    dsn="...",  # or WILDEDGE_DSN env var
    integrations=["transformers"],
    hubs=["huggingface"],
)

# models loaded after this point are tracked automatically

If no DSN is configured, the client becomes a no-op and logs a warning.

init(...) is a convenience wrapper for WildEdge(...) + instrument(...).

Supported integrations

On-device

Integration	Example
transformers	transformers_example.py
mlx	mlx_example.py
timm	timm_example.py
gguf	gguf_example.py
onnx	onnx_example.py
ultralytics	-
tensorflow	tensorflow_example.py
torch	pytorch_example.py
keras	keras_example.py

Remote models

Integration	Example
anthropic	anthropic_example.py
openai	openai_example.py

Hub tracking

Pass hubs= to track model download provenance. Hubs are framework-agnostic and can be combined with any integration.

Hub	Tracks
huggingface	Downloads via huggingface_hub
torchhub	Downloads via torch.hub

For unsupported frameworks, see Manual tracking.

Configuration

Parameter	Default	Description
dsn	-	https://<secret>@ingest.wildedge.dev/<key> (or WILDEDGE_DSN). If unset, the client is a no-op.
app_version	None	Your app's version string
app_identity	<project_key>	Namespace for offline persistence. Set per-app in multi-process workloads (or WILDEDGE_APP_IDENTITY)
enable_offline_persistence	true	Persist unsent events to disk and replay on restart
sampling_interval_s	30.0	Seconds between background hardware snapshots. Set to 0 or None to disable (or WILDEDGE_SAMPLING_INTERVAL_S)
attachments_enabled	false	Opt-in upload of raw inference inputs/outputs (or WILDEDGE_ATTACHMENTS_ENABLED). See Attachments

For advanced options (batching, queue tuning, dead-letter storage, attachments), see Configuration.

Projects using this SDK

Name	Link
agntr	github.com/pmaciolek/agntr
demo-app	github.com/wild-edge/demo-app
(your project here)	-

Using WildEdge in your project? Open a PR to add it to the list.

Security & Privacy

By default the SDK transmits only anonymized telemetry, never raw model inputs or outputs. The one exception is opt-in attachments (attachments_enabled), which upload raw bytes you explicitly pass in.

Report security and privacy issues to: [e-mail]

Links

• Compatibility Matrix
• Changelog
• License