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fix(openfeature): allow custom agentless endpoints#9481

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leo.romanovsky/ffl-2697-custom-agentless-endpoints
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fix(openfeature): allow custom agentless endpoints#9481
leoromanovsky wants to merge 3 commits into
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leo.romanovsky/ffl-2697-custom-agentless-endpoints

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@leoromanovsky

@leoromanovsky leoromanovsky commented Jul 22, 2026

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Edit: We made additional decisions during this review and in offline discussions. The code changes and validation comment below show the final decisions. The remaining PR body preserves the original proposal for the project record.

Motivation

DataDog/system-tests#7355 enables the Node.js Feature Flagging configuration-source contract.

The failing Docker CI job uses http://host.docker.internal:<port> as the configured source. Node.js rejects this source before polling and reports:

Feature Flagging agentless URL must use HTTPS unless it targets loopback

host.docker.internal connects the library container to the mock source on the host. It is not a loopback address inside the container.

The same restriction prevents two local-development operations:

  • A developer cannot use a custom HTTP source on a laptop.
  • The dogfooding application cannot use a local proxy.

An explicitly configured source is an operator-owned endpoint. It can use authentication other than DD_API_KEY.

The default Datadog API still requires the Datadog key and HTTPS.

The system-test scenarios verify behavior. They do not verify only process startup.

  • Default agentless delivery requires an authenticated request on the canonical UFC path. The Docker backend returns a configuration. The test evaluates the configuration and verifies that Remote Configuration was not selected.
  • Missing-auth cold and warm behavior sends an unauthenticated request to a custom endpoint. The endpoint returns 401 or 403. The provider stays not ready or preserves its last-known-good state.

Local Docker proof on this PR

The PARAMETRIC Docker harness mounted dd-trace-js head 51cae1bdd2378ecf0f3c77147e2934e33ca2ceb4 in the existing nodejs-test-client image.

The harness ran system-tests head a5dc9b8433ee3fd2892ea2968b90acb26274313c with one worker:

PYTEST_XDIST_AUTO_NUM_WORKERS=1 TEST_LIBRARY=nodejs \
  ./run.sh PARAMETRIC --skip-parametric-build -vv -s \
  tests/parametric/test_ffe/test_configuration_sources.py \
  -k "test_default_agentless_positive or test_missing_auth_cold or test_missing_auth_warm"
test_default_agentless_positive[source-absent]      PASSED
test_default_agentless_positive[source-empty]       PASSED
test_default_agentless_positive[source-whitespace]  PASSED
test_missing_auth_cold                              PASSED
test_missing_auth_warm                              PASSED
5 passed in 77.73s

This branch intentionally does not contain the configuration-grandfathering change.

The following command runs the two grandfathering scenarios against this parent head:

PYTEST_XDIST_AUTO_NUM_WORKERS=1 TEST_LIBRARY=nodejs \
  ./run.sh PARAMETRIC --skip-parametric-build -vv -s \
  tests/parametric/test_ffe/test_configuration_sources.py \
  -k "test_invalid_configuration_source_fails_closed or test_reserved_offline_configuration_source_fails_closed"
test_invalid_configuration_source_fails_closed          FAILED
test_reserved_offline_configuration_source_fails_closed FAILED
2 failed in 15.38s

unexpected mock FFE agentless backend request:
requests_total=1
last_path=/api/v2/feature-flagging/config/rules-based/server
last_auth_present=true
last_status_code=200

The endpoint works on this PR. The remaining failures show that unsupported source values still select agentless delivery.

Stacked #9482 changes that separate behavior. It passes the complete 29-case Docker file.

Changes

  • Accept configured HTTP and HTTPS agentless endpoints.
  • Mark an explicit endpoint as operator-owned.
  • Let the shared transport retain a supplied API key on cleartext HTTP for that endpoint.
  • Omit the Datadog API key header when no key is configured.
  • Require DD_API_KEY only for the default Datadog Feature Flagging API.
  • Test custom cleartext endpoints and the transport opt-in.
  • Test custom APIs without a Datadog key.
  • Test the Datadog API key requirement for the default Datadog API.

Decisions

  • Keep the shared request transport secure by default.
  • Set the cleartext-key option only for the explicit Feature Flagging endpoint.
  • Continue to reject malformed URLs and non-HTTP protocols.
  • Keep this PR as one commit on master.
  • Keep this branch independent of the provider-version changes.
  • Use this PR as the parent of #9482.
  • Keep invalid and reserved source handling in fix(openfeature): disable the provider for unsupported sources #9482.

@dd-octo-sts

dd-octo-sts Bot commented Jul 22, 2026

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Overall package size

Self size: 7.48 MB
Deduped: 8.14 MB
No deduping: 8.14 MB

Dependency sizes | name | version | self size | total size | |------|---------|-----------|------------| | import-in-the-middle | 3.3.2 | 124.41 kB | 440.65 kB | | opentracing | 0.14.7 | 194.81 kB | 194.81 kB | | dc-polyfill | 0.1.11 | 25.74 kB | 25.74 kB |

🤖 This report was automatically generated by heaviest-objects-in-the-universe

@datadog-prod-us1-5

datadog-prod-us1-5 Bot commented Jul 22, 2026

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Tests

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
Patch Coverage: 100.00%
Overall Coverage: 98.44% (+0.00%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: d82bd2b | Docs | Datadog PR Page | Give us feedback!

@pr-commenter

pr-commenter Bot commented Jul 22, 2026

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Benchmarks

Benchmark execution time: 2026-07-23 04:06:43

Comparing candidate commit d82bd2b in PR branch leo.romanovsky/ffl-2697-custom-agentless-endpoints with baseline commit 293cf61 in branch master.

📊 Benchmarking dashboard

Found 0 performance improvements and 0 performance regressions! Performance is the same for 2328 metrics, 30 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

Unstable benchmarks

These benchmarks have a confidence interval too wide to call a change; treat them as noise rather than signal.

scenario:appsec-appsec-enabled-24

  • unstable execution_time [-206727.348µs; +206379.881µs] or [-7.782%; +7.768%]

scenario:appsec-appsec-enabled-26

  • unstable execution_time [-237.841ms; +229.563ms] or [-9.346%; +9.021%]

scenario:appsec-appsec-enabled-with-attacks-24

  • unstable execution_time [-160.651ms; +155.787ms] or [-5.200%; +5.043%]

scenario:appsec-appsec-enabled-with-attacks-26

  • unstable execution_time [-189.035ms; +179.202ms] or [-6.506%; +6.168%]

scenario:appsec-control-20

  • unstable execution_time [-129.328ms; +127.238ms] or [-7.874%; +7.747%]

scenario:appsec-control-24

  • unstable execution_time [-111013.422µs; +110995.622µs] or [-8.932%; +8.931%]

scenario:appsec-control-26

  • unstable execution_time [-124.067ms; +127.074ms] or [-10.048%; +10.292%]

scenario:appsec-iast-with-vulnerability-control-20

  • unstable execution_time [-28537.939µs; +29103.606µs] or [-5.211%; +5.314%]

scenario:appsec-iast-with-vulnerability-iast-enabled-default-config-20

  • unstable execution_time [-31.243ms; +26.197ms] or [-5.767%; +4.836%]

scenario:child_process-shell-string-24

  • unstable cpu_usage_percentage [-6.262%; +5.239%]
  • unstable execution_time [-19.611ms; +24.031ms] or [-5.889%; +7.216%]
  • unstable throughput [-247845.327op/s; +173200.235op/s] or [-6.998%; +4.890%]

scenario:debugger-line-probe-with-snapshot-minimal-24

  • unstable cpu_user_time [-1999.281ms; +3138.524ms] or [-24.107%; +37.844%]
  • unstable execution_time [-2133.850ms; +3255.980ms] or [-23.705%; +36.171%]
  • unstable instructions [-17.2G instructions; +27.2G instructions] or [-25.353%; +40.220%]
  • unstable max_rss_usage [-8.227MB; +13.572MB] or [-5.231%; +8.630%]
  • unstable throughput [-852.913op/s; +575.424op/s] or [-23.279%; +15.705%]

scenario:dogstatsd-with-tags-20

  • unstable cpu_user_time [-153.401ms; +506.589ms] or [-3.224%; +10.648%]
  • unstable execution_time [-154.855ms; +508.587ms] or [-3.205%; +10.527%]
  • unstable throughput [-179890.014op/s; +56925.443op/s] or [-10.357%; +3.277%]

scenario:plugin-graphql-long-with-depth-off-26

  • unstable max_rss_usage [-3.003MB; +22.388MB] or [-1.383%; +10.308%]

scenario:plugin-graphql-long-with-depth-on-max-20

  • unstable cpu_user_time [-580.070ms; +588.649ms] or [-5.016%; +5.090%]
  • unstable execution_time [-588.923ms; +601.750ms] or [-4.991%; +5.100%]
  • unstable throughput [-3.512op/s; +3.442op/s] or [-5.151%; +5.048%]

scenario:plugin-pg-service-20

  • unstable cpu_usage_percentage [-7.082%; +4.384%]
  • unstable execution_time [-102.550ms; +156.130ms] or [-6.310%; +9.607%]
  • unstable throughput [-269030.423op/s; +180850.894op/s] or [-7.221%; +4.854%]

scenario:test-optimization-large-suite-20

  • unstable max_rss_usage [-5227.708KB; +6965.374KB] or [-6.379%; +8.499%]

scenario:test-optimization-wide-tags-24

  • unstable cpu_user_time [-203.606ms; +292.252ms] or [-4.924%; +7.068%]
  • unstable execution_time [-202.098ms; +294.297ms] or [-4.846%; +7.057%]

@codecov

codecov Bot commented Jul 22, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 98.44%. Comparing base (293cf61) to head (d82bd2b).
⚠️ Report is 16 commits behind head on master.

Additional details and impacted files
@@            Coverage Diff             @@
##           master    #9481      +/-   ##
==========================================
+ Coverage   96.54%   98.44%   +1.90%     
==========================================
  Files         927      940      +13     
  Lines      126652   126874     +222     
  Branches    10431    11093     +662     
==========================================
+ Hits       122274   124903    +2629     
+ Misses       4378     1971    -2407     
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@leoromanovsky
leoromanovsky marked this pull request as ready for review July 22, 2026 11:43
@leoromanovsky
leoromanovsky requested review from a team as code owners July 22, 2026 11:43
@leoromanovsky
leoromanovsky requested review from BridgeAR, aarsilv, dd-oleksii and pavlokhrebto and removed request for a team July 22, 2026 11:43
pavlokhrebto
pavlokhrebto previously approved these changes Jul 22, 2026

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I think we should verify if we are able to just support insecure connections by not sending the API key

dd-oleksii
dd-oleksii previously approved these changes Jul 22, 2026
aarsilv
aarsilv previously approved these changes Jul 22, 2026

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All for making testing easier. Approving with minor comment you can take or leave.

Comment thread packages/dd-trace/src/exporters/common/request.js Outdated
Comment thread packages/dd-trace/src/openfeature/configuration_source.js Outdated

leoromanovsky commented Jul 23, 2026

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I applied the review feedback in 783aee47e.

DataDog/system-tests#7365 contains the corresponding test-contract changes.

The system tests:

  • Set a sentinel DD_API_KEY.
  • Return valid UFC from the custom endpoint without Datadog authentication.
  • Verify that the custom endpoint does not receive the sentinel key.
  • Use the mock's explicit unauthorized response to produce authentication failures.
PYTEST_XDIST_AUTO_NUM_WORKERS=1 TEST_LIBRARY=nodejs pytest -S PARAMETRIC --skip-parametric-build --runxfail -vv -s tests/parametric/test_ffe/test_configuration_sources.py -k "test_default_agentless_positive or test_stable_true_preserves_default_agentless or test_unauthorized_cold or test_malformed_cold or test_request_timeout_cold or test_unauthorized_warm"

Result: 8 passed, 21 deselected in 159.78s.

This run verifies:

  • Default agentless selection for absent, empty, and whitespace-only source values.
  • Default agentless selection when stable enablement is explicit.
  • Cold and warm behavior for explicit 401 responses.
  • Malformed UFC behavior.
  • Request timeout behavior.
  • Removal of the Datadog API key from requests to the custom endpoint.

Additional local checks:

  • The OpenFeature unit suite passed.
  • The OpenFeature integration suite passed.
  • The complete lint check passed.

@leoromanovsky leoromanovsky changed the title fix(openfeature): support custom agentless endpoints fix(openfeature): allow custom agentless endpoints Jul 23, 2026
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5 participants