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Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthroughThe PR adds a runnable AI Gateway observability sample. It provisions mock LLM providers and proxies, generates mixed traffic, exports metrics and traces, provides a Grafana dashboard, verifies the stack, and adds cleanup and CI workflows. ChangesAI Gateway observability sample
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~45 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant setup.sh
participant WireMock
participant DockerCompose
participant GatewayManagementAPI
participant load.sh
participant test.sh
participant Prometheus
participant Grafana
participant Jaeger
setup.sh->>WireMock: Start mock LLM backend
setup.sh->>DockerCompose: Start observability stack
setup.sh->>GatewayManagementAPI: Deploy providers, proxies, and API keys
load.sh->>GatewayManagementAPI: Send mixed chat-completion traffic
test.sh->>Prometheus: Check targets and proxy metrics
test.sh->>Grafana: Check dashboard
test.sh->>Jaeger: Check traces
Merge Risk: 🟡 Moderate · up to Running the sample without overrides exposes its management API and proxy endpoints with documented default credentials to hosts that can reach the Docker host. Bind the ports to loopback or require generated credentials before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 42.86% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 21 functions across 4 files. (2 skipped: 2 unsupported.)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In @.github/workflows/sample-ai-gateway-observability-pr-check.yml:
- Around line 19-20: Update the pull_request workflow permissions to grant only
contents read access, and configure the actions/checkout@v4 step with
persist-credentials disabled so subsequent repository scripts cannot use
persisted checkout credentials.
In `@samples/ai-gateway-observability/load.sh`:
- Around line 41-44: Add bounded curl connection and total-request timeouts to
every network request in load.sh and test.sh. Update
samples/ai-gateway-observability/load.sh lines 41-44 and
samples/ai-gateway-observability/test.sh lines 35, 51, 71, 97, 119, 136, and
145-147, including each Jaeger trace query, while preserving the existing
request behavior and response handling.
In `@samples/ai-gateway-observability/setup.sh`:
- Around line 14-18: Update setup.sh to eliminate the hardcoded fallback values
for ADMIN_USERNAME, ADMIN_PASSWORD, ASSISTANT_API_KEY, and SUPPORT_API_KEY;
require explicitly supplied credentials or generate cryptographically unique
values per setup run, and apply the same unique-password requirement to Grafana
configuration. Ensure no fallback retains admin, admin/admin,
demo-assistant-key, or demo-support-key.
In `@samples/ai-gateway-observability/teardown.sh`:
- Around line 56-58: Update delete_resource and the docker rm -f cleanup in the
teardown script to track failures while continuing all cleanup attempts.
Preserve successful handling of expected not-found responses for the mock
container, but record other deletion errors and return a non-zero status after
cleanup so “Teardown complete!” is not reported as successful when resources
remain.
In `@samples/ai-gateway-observability/test.sh`:
- Around line 103-107: Update the PROXIES validation in the test script to
require nonempty metric series for both expected proxy labels, support-proxy and
assistant-proxy, before calling pass. Report failure when either label is
missing, while preserving the existing success output for complete results.
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.github/workflows/sample-ai-gateway-observability-pr-check.ymlsamples/ai-gateway-observability/.gitattributessamples/ai-gateway-observability/.gitignoresamples/ai-gateway-observability/README.mdsamples/ai-gateway-observability/additional-config.tomlsamples/ai-gateway-observability/llm-provider-budgeted.yamlsamples/ai-gateway-observability/llm-provider.yamlsamples/ai-gateway-observability/llm-proxy-assistant.yamlsamples/ai-gateway-observability/llm-proxy-support.yamlsamples/ai-gateway-observability/load.shsamples/ai-gateway-observability/observability/ai-gateway-overview.jsonsamples/ai-gateway-observability/observability/docker-compose.override.yamlsamples/ai-gateway-observability/observability/prometheus.ymlsamples/ai-gateway-observability/setup.shsamples/ai-gateway-observability/teardown.shsamples/ai-gateway-observability/test.shsamples/ai-gateway-observability/wiremock/mappings/01-chat-slow.jsonsamples/ai-gateway-observability/wiremock/mappings/02-chat-upstream-error.jsonsamples/ai-gateway-observability/wiremock/mappings/09-chat-success.json
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Actionable comments posted: 1
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Inline comments:
In `@samples/ai-gateway-observability/README.md`:
- Around line 28-29: Update the sample README introduction to clarify that no
OpenAI API key is needed, while local inbound API keys are still generated and
required for requests; keep the existing setup and request instructions
consistent with this clarification.
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Purpose
The gateway ships a full observability stack (Prometheus, Grafana, Jaeger, OTel
collector) behind Compose profiles, but there is no sample showing it working end to
end. Nothing demonstrates what AI proxy traffic looks like once it is instrumented.
Resolves https://github.com/wso2-enterprise/apim-gtm/issues/701
Goals
A runnable sample that brings up the gateway with metrics and tracing enabled, points it
at two LLM proxies backed by a mock model, generates traffic, and produces a live
dashboard plus a full request trace with no manual configuration.
Approach
setup.shdownloads the AI Gateway distribution, enables the two Prometheus endpointsand tracing, provisions a Grafana dashboard, and starts the stack with the
metricsandtracingprofiles. A WireMock container stands in for the OpenAI API, so no API key ornetwork access is required. Two LLM proxies share it through two providers, differing
only in a token budget, so one proxy starts returning 429 under load while the other
keeps serving.
load.shgenerates about a minute of mixed traffic;teardown.shreverses everything.
User stories
I can tell which proxy is degrading.
time from upstream model time.
Automation tests
.github/workflows/sample-ai-gateway-observability-pr-check.ymlruns on any PR touchingthis sample: shell syntax check, JSON validation,
setup.sh, 45s of traffic, thentest.sh, thenteardown.sh --clean.test.shasserts five things: the three metrics endpoints return 200, all Prometheusscrape targets are up, per-proxy request metrics carry the
api_namelabel, Grafanaprovisioned the dashboard, and Jaeger stored traces.
Security checks
secrets? yes - the extracted distribution (which holds a generated listener key, AES
key and
api-platform.env) and the downloaded zip are both excluded bysamples/ai-gateway-observability/.gitignore. The only credentials in the diff are thedemo values
admin/adminand the two demo API keys, all overridable by environmentvariable and scoped to a local demo.
Samples
samples/ai-gateway-observability/- the sample this PR adds. Run./setup.sh, then./load.sh, then open Grafana on :3000 and Jaeger on :16686../test.shverifies thepipeline from the terminal.