DeepSeek native Responses rejects Codex view_image results when function_call_output.output contains input_image parts. Move media into a following user message and keep the tool output as a string so call_id pairing remains valid.
The Responses to Chat Completions bridge mapped both the instructions field and role developer items to system messages. Codex always sends both, and also injects developer notices mid-conversation when switching models, so the forwarded request contained consecutive leading system messages and mid-conversation system messages. Strict Qwen-family upstreams reject this with HTTP 400 "System message must be at the beginning."
Leading system/developer messages are now merged into a single leading system message, and later system/developer messages are downgraded to user so the content is preserved without violating upstream role ordering.
The streaming Responses-to-Anthropic converter emitted assistant text only
from output_text.delta, so a stream carrying its answer on
response.output_text.done or in the terminal response.output produced a
protocol-valid message with no text.
Record emitted text per output_text part in a ledger that survives content
block closure, and recover only the suffix a finished payload adds, as #6629
does for function-call arguments. Where the part a payload finishes cannot be
established, decline to recover rather than repeat delivered text: terminal
recovery runs only when nothing was emitted, and a done payload indexed
differently from every delta is ignored.
Give output_text.done its own handler so the shared block-closing helper and
its tool-path caller stay unchanged, and so a payload arriving after
message_stop cannot open a content block past the end of the message.
- Accept fast|priority (canonical priority), flex|auto|default|scale on
/v1/responses and /v1/chat/completions; reject unknown/empty/non-string
with HTTP 400; omitted and null stay compatible.
- Propagate service_tier through JSON/SSE, Responses<->Chat conversions,
fallback paths and HTTP->upstream WebSocket bridge.
- Billing prefers the upstream terminal tier; the outbound (policy-
transformed) tier is used only when upstream omits the field.
Explicit upstream default bills Standard even when Fast was requested.
- Pricing: Fast premium 2x Standard for gpt-5.6-sol/terra/luna and
gpt-5.4; 2.5x for gpt-5.5; channel FastMultiplier stays authoritative.
- Live verification (official Codex 0.149.0 + gateway, HTTP & WS):
upstream ChatGPT backend may return terminal default even when the
account catalog advertises priority; billing follows the actual tier.
The Responses client-tool restore raised an upstream function_call back to
custom_tool_call and tool_search_call without touching its item ID, so the
client received a custom_tool_call carrying the upstream's fc_ ID. That
combination is invalid: once the item lands in the client's history, any
later replay to an upstream that validates item IDs fails the whole request
with "Invalid 'input[N].id': 'fc_...'. Expected an ID that begins with
'ctc'", and every following message re-submits the same bad item.
Re-prefix the ID to match the type it is raised to, keeping the suffix so
the ID stays stable and unique per upstream item. IDs without a known
tool-call prefix are left alone rather than guessed at.
The lowering direction has to reverse this, because the WebSocket HTTP
bridge replays restored items back to the upstream and would otherwise lose
the upstream's own ID. normalizeLoweredFunctionItemID now maps a ctc_/tsc_
call ID back to fc_ instead of dropping it, which makes the round trip
lossless; output item IDs (ctco_/tso_) still have no function-protocol
counterpart and are still dropped. The helper was renamed from
dropInvalidLoweredFunctionItemID to match what it now does.
The stream restorer keeps the upstream ID for its own bookkeeping so later
upstream events still match the call, and emits the client-facing ID on
output_item.added/done and the custom_tool_call_input events.
Closes#6071
The responses->chat streaming converter re-emits the tool name as an empty
string on every function_call_arguments.delta because ChatFunctionCall.Name
has no omitempty. OpenAI-compatible clients accumulate the name from the
first tool-call delta, so the trailing "name":"" overwrites it and the
call fails dispatch (unknown tool ""). Empty names also break the next
round-trip upstream (missing field 'name').
Fixes#5631
laoxiechuzheng