Enabling Observability in Dome¶
Dome is Open Telemetry compliant and allows exporting logs, traces and metrics to any Open-Telemetry compliant platform. We also support popular LLM tracing applications out-of-the-box.
W&B Weave¶
Weave is Weight’s and Bias’s toolkit to trace, monitor and evaluate LLMs.
To integrate with Weave, simply use Dome’s apply_decorator
method to add the weave.op
decorator to Dome’s operations. After doing this, any uses of Dome in a Weave-enabled application will automatically include Dome execution information
# Create your dome instance
dome = Dome(get_default_config())
# Enable dome functions to appear in Weave traces
dome.apply_decorator(weave.op)
In the trace, you will see all calls to Dome’s guard_input
and guard_output
information, including detailed information about the execution of each guard in the guardrail, and each detector in the guard.
OpenTelemetry-Compliant Platforms¶
Dome offers out-of-the-box support for all OpenTelemetry compliant observability platforms such as Uptrace, Jaeger, Signoz etc. If your application is already using Opentelemetry instrumentation, you can pass your existing Tracer
, Meter
and Handler
objects to Dome.
# Add in your Open Telemetry objects
dome.instrument(tracer = your_tracer, meter = your_meter, handlers = [your_handlers])
Note
You do not need to provide all three objects to enable instrumentation. All three arguments are optional.
Tracing¶
When Dome is instrumented with a tracer, all guardrail, guard and detector calls are added as spans to the current trace. Each of these spans includes the input and output to the function call, and error information, if any.
Monitoring¶
Each guardrail, guard and detection method is automatically instrumented with the following instruments when a meter is provided
Requests Count (
requests
) : The number of requests sent to the objectFlagged Count (
flagged
) : The number of requests that were flagged by the objectError Count (
errors
) : The number of errors that were generated by that objectLatency (
latency
) : The execution time of the object
The naming scheme used for each object’s counters is [Guardrail Name].[Guard Name (if applicable)].[Detector Name (if applicable)].[Instrument Name]
. These monitors can be used in the observability platform of your choice to monitor guardrail, guard and even detection-method level performance and statistics.
Logging¶
Logs from Vijil Dome are generated from python loggers with the standard names of vijil.dome
and vijil.core
. Any handlers passed to a dome object will be added to these loggers if they are not already attached to them. Dome logs the following data at each level
DEBUG¶
Setup messages indicating initialization of guardrails, guards and detectors, along with the parameters used for initialization
INFO¶
Inputs and output from each guardrail, guard and detector.
WARNING¶
Missing guardrails in configuration files
Detector-level execution warnings such as a string being larger than a detectors’ context window
Detector or Guard timeouts when executing in parallel
ERROR¶
All errors during guardrail, guard and detector execution that are handled
CRITICAL¶
Any errors in Guardrail, Guard or Detector initialization preventing their creation
Any unhandled exceptions