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
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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
* support configurable orchestrator model via orchestration config section
* add self-hosting docs and demo for Plano-Orchestrator
* list all Plano-Orchestrator model variants in docs
* use overrides for custom routing and orchestration model
* update docs
* update orchestrator model name
* rename arch provider to plano, use llm_routing_model and agent_orchestration_model
* regenerate rendered config reference
* cleaning up plano cli commands
* adding support for wildcard model providers
* fixing compile errors
* fixing bugs related to default model provider, provider hint and duplicates in the model provider list
* fixed cargo fmt issues
* updating tests to always include the model id
* using default for the prompt_gateway path
* fixed the model name, as gpt-5-mini-2025-08-07 wasn't in the config
* making sure that all aliases and models match the config
* fixed the config generator to allow for base_url providers LLMs to include wildcard models
* re-ran the models list utility and added a shell script to run it
* updating docs to mention wildcard model providers
* updated provider_models.json to yaml, added that file to our docs for reference
* updating the build docs to use the new root-based build
---------
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-342.local>
