docs(benchmark): add two calibrated custom-mode routing profiles - #499
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Signed-off-by: Giedrius Burachas <gburachas@nvidia.com>
WalkthroughThis change adds balanced and aggressive telecom routing profiles. Each profile configures OpenRouter targets, classifier-based user-turn routing, structured route responses, routing prompts, and target selection through ChangesTelecom routing profiles
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: 🔵 Low · up to The profiles can route an abstained request to the weak tier unless the rubric requires abstentions to select the strong tier. This is a bounded correctness issue in both example configurations and is mergeable with explicit owner follow-up. Poem
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Inline comments:
In `@benchmark/routing-profiles/tau2-telecom-custom-opus-qwen-balanced.toml`:
- Around line 104-105: Update the abstention routing policy so abstentions
require the strong route, ensuring target_selector selects the strong target.
Apply this change at
benchmark/routing-profiles/tau2-telecom-custom-opus-qwen-balanced.toml lines
104-105 and
benchmark/routing-profiles/tau2-telecom-custom-opus-qwen-aggressive.toml lines
92-93.
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benchmark/routing-profiles/tau2-telecom-custom-opus-qwen-aggressive.tomlbenchmark/routing-profiles/tau2-telecom-custom-opus-qwen-balanced.toml
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Closes #353.
What
Two routing profiles for
benchmark/routing-profiles/, alongside the existing TB-2.1 escalation profile:tau2-telecom-custom-opus-qwen-balanced.tomltau2-telecom-custom-opus-qwen-aggressive.tomlThey are the same deployment at two operating points, so the difference between them is the routing behaviour and nothing else.
Why these two
They demonstrate a configuration nothing else in the repository shows:
mode = "custom"with atarget_selectorpolicy, where the classifier answers with a target name andpolicy.selectorreads it out of the verdict. The existingtb21-escalation-*.tomlprofile covers escalation mode.They also use
classify_trigger = "user_turn"from #487, which is the setting this traffic shape calls for: the classifier re-runs when the user speaks again and the chosen tier is held across the tool calls in between, so a tool chain does not switch tier mid-task.Calibration
Following the discussion on #353, each file records what it was calibrated against, including the operating point as a number:
Measured on tau2-bench telecom customer support, full 114 tasks, with Claude Opus 4.7 as the strong tier and an on-device Qwen3.6-35B-A3B as both the weak tier and the classifier. The
promptin each file is the rubric that was measured.The headers are explicit that the model wiring here is not what was measured: the runs used internal endpoints and an on-device weak tier, and these files use the closest publicly reachable OpenRouter models so they run as written. The routing parameters and rubric are exactly as run. Each file also states that the figures describe that tier pair on that traffic, and that a different pair or domain needs recalibrating.
Scope
Configuration only. No library, server or benchmark-runner changes.
The lane runners that produced these numbers (tau2, tau3, GAIA, TB-Lite) are not included. They depend on external benchmark checkouts and per-deployment endpoints, which puts them on the wrong side of the "if it only makes sense against one deployment, it is not an example" line from #353. They stay in our own repository.
How tested
Both files load against the current server:
uv run ruff check .passes. Commit signed off per the DCO.Summary by CodeRabbit