policyengine-observability 1.3.1

Shared PolicyEngine observability runtime for logs, timings, metrics, and OpenTelemetry.

policyengine-observability

Shared PolicyEngine observability runtime for fail-open local timings, structured logs, OpenTelemetry traces, and OpenTelemetry metrics.

The package intentionally keeps framework support in adapters:

• policyengine_observability.adapters.flask
• policyengine_observability.adapters.fastapi
• policyengine_observability.integrations.httpx

OpenTelemetry support is installed and enabled by default. Timing and structured logging run even without an OTLP collector; when no endpoint is configured, spans and metrics stay in-process while logs still receive trace context. Set OTEL_ENABLED=false to opt out. Configure OTEL_EXPORTER_OTLP_ENDPOINT to export traces and metrics.

Structured logs write to stdout by default:

OBSERVABILITY_LOG_DESTINATIONS=stdout

Applications can override that default in code when constructing ObservabilityConfig:

ObservabilityConfig.from_env(
    service_name="policyengine-api",
    default_log_destinations=("google_cloud_logging",),
)

OBSERVABILITY_LOG_DESTINATIONS still has precedence over application defaults. Cloud Run captures stdout and stderr into Google Cloud Logging automatically, but applications that need one consistent destination across Cloud Run and non-GCP runtimes can write directly to Google Cloud Logging by installing the google extra and enabling the Google destination:

OBSERVABILITY_LOG_DESTINATIONS=google_cloud_logging
OBSERVABILITY_GOOGLE_CLOUD_PROJECT=policyengine-api
OBSERVABILITY_GOOGLE_CLOUD_LOG_NAME=policyengine-observability

Multiple destinations can be enabled with a comma-separated list, for example OBSERVABILITY_LOG_DESTINATIONS=stdout,google_cloud_logging. Google Cloud Logging uses Application Default Credentials and requires permission to create log entries, typically through roles/logging.logWriter.

Request and operation logs include two timing views:

• timings_ms and timing_counts are flat inclusive aggregates by segment name, intended for quick scanning and compatibility with existing log queries.
• segment_tree is an ordered nested view of segment occurrences. Repeated sibling segments are preserved as separate entries, and safe scalar segment attributes are included so callers can distinguish settings such as simulation_kind=baseline versus simulation_kind=reform.

Core structured log fields take precedence over caller-provided attributes with the same keys.

On runtimes that do not provide Application Default Credentials, set GCP_CREDENTIALS_JSON to a service account JSON document. The Google Cloud Logging destination will materialize it into a temporary credentials file and pass those credentials directly to the Google client. If the credential bootstrap fails, observability fails open and continues without raising into application code.

Prefer OIDC-based Workload Identity Federation over long-lived service account keys when the runtime can provide an OIDC subject token. Modal injects generated identity tokens into Function containers through MODAL_IDENTITY_TOKEN; other runtimes can provide OBSERVABILITY_GOOGLE_OIDC_TOKEN. The runtime needs these values:

OBSERVABILITY_GOOGLE_OIDC_TOKEN=OIDC_TOKEN_FROM_RUNTIME
OBSERVABILITY_GOOGLE_WORKLOAD_IDENTITY_PROVIDER=projects/PROJECT_NUMBER/locations/global/workloadIdentityPools/POOL_ID/providers/PROVIDER_ID
OBSERVABILITY_GOOGLE_SERVICE_ACCOUNT_EMAIL=observability-writer@PROJECT_ID.iam.gserviceaccount.com
OBSERVABILITY_GOOGLE_CLOUD_PROJECT=PROJECT_ID

When MODAL_IDENTITY_TOKEN or OBSERVABILITY_GOOGLE_OIDC_TOKEN is present alongside OBSERVABILITY_GOOGLE_WORKLOAD_IDENTITY_PROVIDER, the Google Cloud Logging destination writes a temporary external-account credential configuration and passes those credentials directly to the Cloud Logging client. If OBSERVABILITY_GOOGLE_SERVICE_ACCOUNT_EMAIL is present, the configuration uses service account impersonation. This keeps observability credentials separate from any application-level GOOGLE_APPLICATION_CREDENTIALS or GCP_CREDENTIALS_JSON used by the service for other Google clients.

The Google Cloud setup needs:

• A Workload Identity Pool and OIDC provider whose issuer matches Modal's OIDC issuer, https://oidc.modal.com.
• Attribute mapping for the Modal token claims you want to authorize, such as google.subject=assertion.sub.
• A service account with roles/logging.logWriter on the log project.
• An IAM binding granting the workload identity principal roles/iam.workloadIdentityUser on that service account.

For the fixed PolicyEngine Google Cloud destination, see docs/operations/google-cloud-stage3-runbook.md.

Release workflow

Changes should include a Towncrier fragment in changelog.d/. Pull requests run changelog, Ruff, and coverage checks. Pushes to main run the same gates, then publish a versioning commit that builds the changelog and bumps pyproject.toml. That versioning commit publishes the package to PyPI through trusted publishing, creates a matching git tag, and opens a GitHub release.