Addresses review comments on #910:
- Shorten the paper citation to (Chen et al., 2026) per common cite
practice (replacing the full author list form).
- Replace the Why Signals Matter section with the review-suggested
rewrite verbatim: more formal intro framing, renumbered steps to
Instrument / Sample & triage / Data Construction / Model Optimization
/ Deploy, removes 'routing decisions' from the data-construction
step, and adds DPO/RLHF/SFT as model-optimization examples.
- Renders tau and O(messages) as proper math glyphs via the sphinx
built-in :math: role (enabled by adding sphinx.ext.mathjax to
conf.py). Using the RST role form rather than raw $...$ inline so
sphinx only injects MathJax on pages that actually have math,
instead of loading ~1MB of JS on every page.
Build verified locally: sphinx-build produces no warnings on the
changed files and the rendered HTML wraps tau and O(messages) in
MathJax-ready <span class="math">\(\tau\)</span> containers.
Made-with: Cursor
Addresses review feedback on #910:
- Replace the triage-only framing at the top with an instrument -> sample
& triage -> construct data -> optimize -> deploy flywheel that explains
why signals matter, not just what they surface. Paper's 82% / 1.52x
numbers move into step 2 of the flywheel where they belong.
- Remove the 'Signals vs Response Quality' section. Per review, signals
and response quality overlap rather than complement each other, so the
comparison is misleading.
- Borrow the per-category summaries and leaf-type descriptions verbatim
from the katanemo/signals reference implementation (module docstrings)
so the documentation and the detector contract stay in sync. Drops the
hand-crafted examples that were not strictly accurate (e.g. 'semantic
overlap is high' for rephrase, 'user explicitly corrects the agent'
for correction).
Made-with: Cursor
Updates docs/source/concepts/signals.rst and the tracing guide's signals
subsection to reflect the three-layer taxonomy shipped in #903:
- Introduces the paper reference (arXiv:2604.00356) and the three layers
(interaction, execution, environment) with all 20 leaf signal types in
three reference tables
- Documents the new layered OTel attribute set
(signals.interaction.*, signals.execution.*, signals.environment.*)
and marks the legacy aggregate keys (signals.follow_up.repair.*,
signals.frustration.*, signals.repetition.count,
signals.escalation.requested, signals.positive_feedback.count) as
deprecated-but-still-emitted
- Adds a Span Events section describing the per-instance signal.<type>
events with confidence / snippet / metadata attributes
- Fixes the flag marker reference ([!] in the code vs 🚩 in the old docs)
- Updates all example attributes, dashboard queries, and alert rules to
use the layered keys
- Updates the tracing guide's behavioral-signals subsection to match
- Notes that the triage sampler is a planned follow-up and today sampling
is consumer-side via observability-platform filters
Build verified locally: sphinx-build produces no warnings on these files.
Made-with: Cursor
* signals: port to layered taxonomy with dual-emit OTel
Made-with: Cursor
* fix: silence collapsible_match clippy lint (rustc 1.95)
Made-with: Cursor
* test: parity harness for rust vs python signals analyzer
Validates the brightstaff signals port against the katanemo/signals Python
reference on lmsys/lmsys-chat-1m. Adds a signals_replay bin emitting python-
compatible JSON, a pyarrow-based driver (bypasses the datasets loader pickle
bug on python 3.14), a 3-tier comparator, and an on-demand workflow_dispatch
CI job.
Made-with: Cursor
* Remove signals test from the gitops flow
* style: format parity harness with black
Made-with: Cursor
* signals: group summary by taxonomy, factor misalignment_ratio
Addresses #903 review feedback from @nehcgs:
- generate_summary() now renders explicit Interaction / Execution /
Environment headers so the paper taxonomy is visible at a glance,
even when no signals fired in a given layer. Quality-driving callouts
(high misalignment rate, looping detected, escalation requested) are
appended after the layer summary as an alerts tail.
- repair_ratio (legacy taxonomy name) renamed to misalignment_ratio
and factored into a single InteractionSignals::misalignment_ratio()
helper so assess_quality and generate_summary share one source of
truth instead of recomputing the same divide twice.
Two new unit tests pin the layer headers and the (sev N) severity
suffix. Parity with the python reference is preserved at the Tier-A
level (per-type counts + overall_quality); only the human-readable
summary string diverges, which the parity comparator already classifies
as Tier-C.
Made-with: Cursor
Build and Deploy Documentation / build (push) Waiting to run
* feat: add initial documentation for Plano Agent Skills
* feat: readme with examples
* feat: add detailed skills documentation and examples for Plano
---------
Co-authored-by: Adil Hafeez <adil.hafeez@gmail.com>
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* add pluggable session cache with Redis backend
* add Redis session affinity demos (Docker Compose and Kubernetes)
* address PR review feedback on session cache
* document Redis session cache backend for model affinity
* sync rendered config reference with session_cache addition
* add tenant-scoped Redis session cache keys and remove dead log_affinity_hit
- Add tenant_header to SessionCacheConfig; when set, cache keys are scoped
as plano:affinity:{tenant_id}:{session_id} for multi-tenant isolation
- Thread tenant_id through RouterService, routing_service, and llm handlers
- Use Cow<'_, str> in session_key to avoid allocation when no tenant is set
- Remove unused log_affinity_hit (logging was already inlined at call sites)
* remove session_affinity_redis and session_affinity_redis_k8s demos
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* feat(provider): add xiaomi as first-class provider
* feat(demos): add xiaomi mimo integration demo
* refactor(demos): remove Xiaomi MiMo integration demo and update documentation
* updating model list and adding the xiamoi models
---------
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-389.local>
* feat(web): announce DigitalOcean acquisition across sites
* fix(web): make blog routes resilient without Sanity config
* fix(web): add mobile arrow cue to announcement banner
* fix(web): point acquisition links to announcement post
* fix: route Perplexity OpenAI paths without /v1
* add tests for Perplexity provider handling in LLM module
* refactor: use constant for Perplexity provider prefix in LLM module
* moving const to top of file
