* fix(search): forward search-tool params through the router, complete Parallel AI v1 param mapping
SearchAPIRouter dropped every parameter configured on a search tool, forwarding
only per-request kwargs. Any tool-level setting (mode, max_results, ...) was
silently lost on the way to the adapter, for every search provider.
Also completes the Parallel AI v1 search surface: after_date, fetch_policy,
location and include_domains now nest under advanced_settings instead of being
sent as unknown top-level fields, responses preserve search_id / session_id /
warnings / raw excerpts, and search cost is derived from the request mode and
the provider's reported usage rather than a single flat rate.
* fix(parallel_ai): stop a caller from pricing its own search request
`_parallel_ai_usage` carries the provider's reported usage into cost
calculation. It was only written when the response contained a usage block, so
a caller could pass `_parallel_ai_usage=[{"name": "sku_search", "count": 0}]`
and, whenever the provider omitted usage, bill $0.00 instead of $0.005 — the
value also reached the upstream request body as an unknown field.
The key is now stripped from inbound params and written unconditionally from
the parsed response, so only the provider can populate it.
* fix(parallel_ai): price fast search mode correctly
* test(parallel_ai): fake search at HTTP boundary
* fix(parallel_ai): tolerate null search result fields
---------
Co-authored-by: khushishelat <shelatkhushi@gmail.com>
Bedrock rejects requests carrying cachePoint blocks for models whose entry in the cost map does not declare supports_prompt_caching (403 "You invoked an unsupported model or your request did not allow prompt caching"). Clients like Claude Code attach cache_control to every request, so any such model behind the gateway failed on every call. The new bedrock_model_accepts_cache_points predicate drops cachePoint emission for map-known non-caching models at all three emission funnels, keeps emitting for unmapped ids (application inference profile ARNs), and skips the gateway injection credit when the tool_config point is not placed.
aiohttp shields its DNS resolution task; when the connector closes it cancels
that child, so the request task sees CancelledError without ever being
cancelled itself. map_aiohttp_exceptions() only caught Exception, so the
BaseException skipped transport mapping, router retries and proxy error
handling, and /v1/responses answered 500 "No response returned".
Catch CancelledError in the mapper, re-raise when the current task is really
being cancelled (Task.cancelling() > 0), and otherwise map it to
httpx.ConnectError so the usual retry, fallback and error mapping apply.
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The chat-completions bridge emitted Responses output items whose item ids
were raw Anthropic tool ids (toolu_/srvtoolu_), which OpenAI rejects on
replay with "Expected an ID that begins with 'fc'", breaking router
fallback conversations from gpt-5 to claude models.
Four fixes, composable and independently useful:
- emission: bridge output items get fc_/ctc_-prefixed item ids while
call_id stays raw so tool_result pairing keeps working (streaming and
non-streaming share the same helpers)
- openai replay: request transformation drops tool call item ids that do
not match OpenAI's own shapes instead of forwarding them, gated to
OpenAI and Azure, since the API accepts the items with no id at all
- anthropic replay: a replayed srvtoolu_ call whose paired server tool
result is unavailable degrades to a plain client tool_use instead of a
dangling server_tool_use that 400s the client's tool_result
- tool-only turns no longer emit a message output item with output_text
text null, matching native OpenAI output
At end of drain the pump enqueued the sentinel first and picked the
billing mode from client_detached afterward, so a client that consumed
the sentinel and tore the relay down before the pump resumed (possible
whenever the sentinel enqueue hit a full queue) had its fully delivered
response billed through the teardown path, skipping the proxy's
post-response hook. Bill or park before the sentinel goes out, and let
an unconsumed sentinel fall back to dispatching the parked billing.
