fix(agentless): use proxy for otlp export

[bwoebi]

This ensures that in particular otlp logs and metrics are properly exported as well.

[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 2026-09-07T15:45:14.673478Z	c3193f7	New commits

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review" or "@codex security review".

Codex reacts with 👀 while any review is running, comments if it has suggestions, and reacts with 👍 once all reviews finish with no findings.

[dd-octo-sts]

Overall package size

Self size: 8.84 MB
Deduped: 9.5 MB
No deduping: 9.5 MB

Dependency sizes

| name | version | self size | total size | |------|---------|-----------|------------| | import-in-the-middle | 3.4.0 | 127.33 kB | 447.04 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-datadog-prod-us1]

✅ All CI checks and tests passed. Datadog automation helped this PR pass.

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🔄 Datadog retried 1 test - 1 passed on retry

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 98.13% (-0.10%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: fac7864 | Docs | View more details | Give us feedback!}

[chatgpt-codex-connector]

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: da93fa5edc

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 98.67%. Comparing base (ca391e1) to head (fac7864).
⚠️ Report is 9 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #10176      +/-   ##
==========================================
+ Coverage   98.65%   98.67%   +0.02%     
==========================================
  Files        1005     1005              
  Lines      157435   157600     +165     
  Branches       74       74              
==========================================
+ Hits       155312   155513     +201     
+ Misses       2123     2087      -36     

Flag	Coverage Δ
ai-guard	64.99% <0.00%> (-0.03%)	⬇️
apm-capabilities	63.86% <100.00%> (+0.76%)	⬆️
apm-integrations	81.41% <0.00%> (-0.02%)	⬇️
appsec	58.66% <0.00%> (-0.06%)	⬇️
debugger	69.81% <0.00%> (-0.03%)	⬇️
instrumentation	53.68% <0.00%> (-0.06%)	⬇️
llmobs	79.00% <100.00%> (-0.02%)	⬇️
master-coverage	98.67% <100.00%> (?)
openfeature	66.37% <100.00%> (-0.04%)	⬇️
platform	69.30% <57.14%> (-0.02%)	⬇️
profiling	66.74% <0.00%> (-0.03%)	⬇️
serverless	65.70% <0.00%> (-0.04%)	⬇️
test-optimization	82.80% <0.00%> (+0.11%)	⬆️

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[pr-commenter]

Benchmarks

Benchmark execution time: 2026-09-07 16:19:28

Comparing candidate commit fac7864 in PR branch bob/otlp-proxy with baseline commit ca391e1 in branch master.

📊 Benchmarking dashboard

Found 0 performance improvements and 0 performance regressions! Performance is the same for 2306 metrics, 7 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 max_rss_usage [-28.270MB; +48.557MB] or [-9.868%; +16.950%]

scenario:debugger-enabled-but-breakpoint-not-hit-26

• unstable cpu_user_time [-354.250ms; +674.232ms] or [-4.032%; +7.675%]
• unstable execution_time [-354.550ms; +673.886ms] or [-4.034%; +7.667%]
• unstable throughput [-2012443.746op/s; +1048553.723op/s] or [-7.055%; +3.676%]

scenario:encoders-0.4-immediate-flush-20

• unstable max_rss_usage [-8451.226KB; +8778.084KB] or [-10.679%; +11.092%]

scenario:llmobs-encode-unicode-mixed-20

• unstable max_rss_usage [-10.979MB; +7.681MB] or [-14.671%; +10.264%]

scenario:log-with-debug-24

• unstable execution_time [-168.790ms; +248.011ms] or [-4.255%; +6.252%]

[BridgeAR]

Code is LGTM, while a test is missing