* 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
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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>
* 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
* 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
* Add Codex CLI support; xAI response improvements
* Add native Plano running check and update CLI agent error handling
* adding PR suggestions for transformations and code quality
* message extraction logic in ResponsesAPIRequest
* xAI support for Responses API by routing to native endpoint + refactor code
* 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>
* adding support for signals
* reducing false positives for signals like positive interaction
* adding docs. Still need to fix the messages list, but waiting on PR #621
* Improve frustration detection: normalize contractions and refine punctuation
* Further refine test cases with longer messages
* minor doc changes
* fixing echo statement for build
* fixing the messages construction and using the trait for signals
* update signals docs
* fixed some minor doc changes
* added more tests and fixed docuemtnation. PR 100% ready
* made fixes based on PR comments
* Optimize latency
1. replace sliding window approach with trigram containment check
2. add code to pre-compute ngrams for patterns
* removed some debug statements to make tests easier to read
* PR comments to make ObservableStreamProcessor accept optonal Vec<Messagges>
* fixed PR comments
---------
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-342.local>
Co-authored-by: MeiyuZhong <mariazhong9612@gmail.com>
Co-authored-by: nehcgs <54548843+nehcgs@users.noreply.github.com>
