Update libdatadog and adapt rate limiter APIs

[cataphract]

Description

Replace the removed limiter abstractions with a local wrapper and pass the new granularity arguments.

Reviewer checklist

• Test coverage seems ok.
• Appropriate labels assigned.

[chatgpt-codex-connector]

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	✅ Completed 2026-10-01T09:56:33.736721Z	d7e7c15	PR opened
🔒 Security Review	✅ Completed 2026-10-01T09:57:42.563481Z	d7e7c15	PR opened

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[datadog-prod-us1-4]

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 68.38% (-0.04%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: b9fa8af | Docs | View more details | Give us feedback!}

[pr-commenter]

Benchmarks [ tracer ]

Benchmark execution time: 2026-10-02 01:24:18

Comparing candidate commit b9fa8af in PR branch glopes/new-limiter with baseline commit c6e46bc in branch master.

📊 Benchmarking dashboard

Found 19 performance improvements and 0 performance regressions! Performance is the same for 174 metrics, 1 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:ContextPropagationBench/benchInject64Bit-opcache

• 🟩 execution_time [-15.095µs; -14.863µs] or [-87.525%; -86.174%]

scenario:PDOBench/benchPDOOverhead

• 🟩 execution_time [-32.937µs; -28.471µs] or [-10.128%; -8.755%]

scenario:PDOBench/benchPDOOverhead-opcache

• 🟩 execution_time [-30.088µs; -24.639µs] or [-9.470%; -7.755%]

scenario:PDOBench/benchPDOOverheadWithDBM

• 🟩 execution_time [-35.222µs; -29.925µs] or [-10.775%; -9.154%]

scenario:PDOBench/benchPDOOverheadWithDBM-opcache

• 🟩 execution_time [-33.364µs; -28.376µs] or [-10.457%; -8.894%]

scenario:PHPRedisBench/benchRedisOverhead

• 🟩 execution_time [-160.457µs; -129.812µs] or [-12.093%; -9.784%]

scenario:PHPRedisBench/benchRedisOverhead-opcache

• 🟩 execution_time [-162.565µs; -129.539µs] or [-12.003%; -9.565%]

scenario:SamplingRuleMatchingBench/benchRegexMatching1

• 🟩 execution_time [-16.006µs; -15.609µs] or [-92.421%; -90.124%]

scenario:SamplingRuleMatchingBench/benchRegexMatching1-opcache

• 🟩 execution_time [-15.099µs; -14.897µs] or [-90.870%; -89.653%]

scenario:SamplingRuleMatchingBench/benchRegexMatching2

• 🟩 execution_time [-15.914µs; -15.655µs] or [-92.356%; -90.853%]

scenario:SamplingRuleMatchingBench/benchRegexMatching2-opcache

• 🟩 execution_time [-15.238µs; -15.000µs] or [-90.720%; -89.301%]

scenario:SamplingRuleMatchingBench/benchRegexMatching3

• 🟩 execution_time [-16.080µs; -15.788µs] or [-92.453%; -90.773%]

scenario:SamplingRuleMatchingBench/benchRegexMatching3-opcache

• 🟩 execution_time [-14.992µs; -14.823µs] or [-90.748%; -89.725%]

scenario:SamplingRuleMatchingBench/benchRegexMatching4

• 🟩 execution_time [-16.109µs; -15.884µs] or [-92.362%; -91.070%]

scenario:SamplingRuleMatchingBench/benchRegexMatching4-opcache

• 🟩 execution_time [-15.060µs; -14.830µs] or [-90.648%; -89.263%]

scenario:SpanBench/benchOpenTelemetryAPI

• 🟩 execution_time [-483.306µs; -477.182µs] or [-55.734%; -55.028%]
• 🟩 mem_peak [-15.131MB; -15.129MB] or [-28.536%; -28.532%]

scenario:SpanBench/benchOpenTelemetryAPI-opcache

• 🟩 execution_time [-456.528µs; -448.227µs] or [-56.673%; -55.642%]
• 🟩 mem_peak [-15.029MB; -15.027MB] or [-30.078%; -30.074%]

Unstable benchmarks

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

scenario:LaravelBench/benchLaravelDdprof-opcache

• unstable execution_time [-840.141µs; +742.981µs] or [-5.834%; +5.160%]