`post_and_extract_content` was unconditionally deserializing the upstream
response body as a `ChatCompletionsResponse`, which meant 4xx/5xx error
bodies (OpenAI-style `{"error": {...}}` envelopes) failed with confusing
messages like `missing field 'id' at line 1 column 391`. The real
upstream message (e.g. "This model's maximum context length is 32768
tokens...") only appeared once as a warn log and then got buried in the
generic "Failed to parse JSON response" path.
Now we:
- Check the HTTP status before attempting to parse the success body.
- On non-2xx, extract a human-readable message from the OpenAI-style
error envelope (or fall back to a UTF-8-safe truncated raw body).
- Return a dedicated `HttpError::Upstream { status, message }` variant
so callers can log / surface / retry based on the real status code.
- Truncate raw bodies in warn logs to 512 bytes (UTF-8-safe) to avoid
flooding logs with oversized JSON or HTML error pages.
The orchestrator trimmer had a bypass that kept the latest user message
whole even when it alone exceeded the configured token budget. This
caused brightstaff to send a ~500KB prompt to the Plano-Orchestrator
model, which rejected it with a 400 "context length exceeded" from the
upstream 32K-token window. Brightstaff then surfaced a confusing
"missing field id" parse error instead of the real upstream message.
Fix the bypass by trimming the overflowing user message from the end
toward the beginning until it fits in the remaining token budget. The
beginning of the message (where user intent usually lives) is preserved
and the tail is dropped. Added a UTF-8-safe byte-truncation helper and a
regression test that mirrors the production payload (a single ~500KB
user message with a small budget).
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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>
* fixed reasoning failures
* adding debugging
* made several fixes for transmission isses for SSeEvents, incomplete handling of json types by anthropic, and wrote a bunch of tests
* removed debugging from supervisord.conf
---------
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-342.local>
* agents framework demo
* more changes
* add more changes
* pending changes
* fix tests
* fix more
* rebase with main and better handle error from mcp
* add trace for filters
* add test for client error, server error and for mcp error
* update schema validate code and rename kind => type in agent_filter
* fix agent description and pre-commit
* fix tests
* add provider specific request parsing in agents chat
* fix precommit and tests
* cleanup demo
* update readme
* fix pre-commit
* refactor tracing
* fix fmt
* fix: handle MessageContent enum in responses API conversion
- Update request.rs to handle new MessageContent enum structure from main
- MessageContent can now be Text(String) or Items(Vec<InputContent>)
- Handle new InputItem variants (ItemReference, FunctionCallOutput)
- Fixes compilation error after merging latest main (#632)
* address pr feedback
* fix span
* fix build
* update openai version
* first commit with tests to enable state mamangement via memory
* fixed logs to follow the conversational flow a bit better
* added support for supabase
* added the state_storage_v1_responses flag, and use that to store state appropriately
* cleaned up logs and fixed issue with connectivity for llm gateway in weather forecast demo
* fixed mixed inputs from openai v1/responses api (#632)
* fixed mixed inputs from openai v1/responses api
* removing tracing from model-alias-rouing
* handling additional input types from openairs
---------
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-342.local>
* resolving PR comments
---------
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-342.local>
