Propagate agent configured timeout to sidecar

[bwoebi]

And make two RC tests more resilient to race conditions.

Increase the timeout in tests to avoid genuine timeouts from request-replayer overload to happen.

[chatgpt-codex-connector]

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Reviewed commit: 7e89be7fe0

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[datadog-prod-us1-5]

 

✨ Fix all issues with BitsAI

⚠️ Warnings

🚦 15 Pipeline jobs failed

DataDog/apm-reliability/dd-trace-php | ASAN test_c with multiple observers: [8.3]     

DataDog/apm-reliability/dd-trace-php | ASAN test_c: [8.3, arm64]     

DataDog/apm-reliability/dd-trace-php | ASAN test_c: [8.5, arm64]     

View all 15 failed jobs.

⌛ 1 Test performance regression detected

tmp/build_extension/tests/ext/pcntl/pcntl_fork_thread_mode_orphan.phpt (Thread mode sidecar: orphaned child process promotes itself to master after parent exits) from php.tmp.build_extension.tests.ext.pcntl — 4.06s (+3.27s, +413%)  

ℹ️ Info

No other issues found (see more)

🧪 All tests passed
❄️ No new flaky tests detected

🔄 Datadog auto-retried 1 job - 0 passed on retry

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 54.08% (-0.03%)

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[pr-commenter]

Benchmarks [ tracer ]

Benchmark execution time: 2026-07-04 02:06:53

Comparing candidate commit 408f68e in PR branch bob/endpoint-timeouts with baseline commit bffd346 in branch master.

Found 0 performance improvements and 3 performance regressions! Performance is the same for 191 metrics, 0 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 ----------------------------------'

scenario:SamplingRuleMatchingBench/benchRegexMatching2

• 🟥 execution_time [+82.946ns; +148.254ns] or [+5.648%; +10.096%]

scenario:SamplingRuleMatchingBench/benchRegexMatching3

• 🟥 execution_time [+30.999ns; +130.001ns] or [+2.053%; +8.608%]

scenario:SamplingRuleMatchingBench/benchRegexMatching4

• 🟥 execution_time [+40.797ns; +117.803ns] or [+2.749%; +7.939%]