fix(llm): split OpenAI reasoning summary blocks (#29000)

packages/llm/src/protocols/utils/lifecycle.ts

@@ -24,16 +24,24 @@ export const textDelta = (state: State, events: LLMEvent[], id: string, text: st
   return { ...stepped, text: new Set([...stepped.text, id]) }
 }
 
-export const reasoningDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {
+export const reasoningStart = (
+  state: State,
+  events: LLMEvent[],
+  id: string,
+  providerMetadata?: ProviderMetadata,
+): State => {
+  if (state.reasoning.has(id)) return state
   const stepped = stepStart(state, events)
-  if (stepped.reasoning.has(id)) {
-    events.push(LLMEvent.reasoningDelta({ id, text }))
-    return stepped
-  }
-  events.push(LLMEvent.reasoningStart({ id }), LLMEvent.reasoningDelta({ id, text }))
+  events.push(LLMEvent.reasoningStart({ id, providerMetadata }))
   return { ...stepped, reasoning: new Set([...stepped.reasoning, id]) }
 }
 
+export const reasoningDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {
+  const started = reasoningStart(state, events, id)
+  events.push(LLMEvent.reasoningDelta({ id, text }))
+  return started
+}
+
 export const reasoningEnd = (
   state: State,
   events: LLMEvent[],

packages/llm/src/protocols/utils/openai-options.ts

@@ -7,12 +7,28 @@ export const OpenAIReasoningEfforts = ReasoningEfforts.filter(
 )
 export type OpenAIReasoningEffort = (typeof OpenAIReasoningEfforts)[number]
 
+// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this
+// in lockstep with `openai-node/src/resources/responses/responses.ts`.
+export const OpenAIResponseIncludables = [
+  "file_search_call.results",
+  "web_search_call.results",
+  "web_search_call.action.sources",
+  "message.input_image.image_url",
+  "computer_call_output.output.image_url",
+  "code_interpreter_call.outputs",
+  "reasoning.encrypted_content",
+  "message.output_text.logprobs",
+] as const
+export type OpenAIResponseIncludable = (typeof OpenAIResponseIncludables)[number]
+
 const REASONING_EFFORTS = new Set<string>(ReasoningEfforts)
 const OPENAI_REASONING_EFFORTS = new Set<string>(OpenAIReasoningEfforts)
 const TEXT_VERBOSITY = new Set<string>(["low", "medium", "high"])
+const INCLUDABLES = new Set<string>(OpenAIResponseIncludables)
 
 export const OpenAIReasoningEffort = Schema.Literals(OpenAIReasoningEfforts)
 export const OpenAITextVerbosity = TextVerbosity
+export const OpenAIResponseIncludable = Schema.Literals(OpenAIResponseIncludables)
 
 const isAnyReasoningEffort = (effort: unknown): effort is ReasoningEffort =>
   typeof effort === "string" && REASONING_EFFORTS.has(effort)
@@ -35,12 +51,20 @@ export const reasoningEffort = (request: LLMRequest): ReasoningEffort | undefine
   return isAnyReasoningEffort(value) ? value : undefined
 }
 
-export const reasoningSummary = (request: LLMRequest): "auto" | undefined => {
-  return options(request)?.reasoningSummary === "auto" ? "auto" : undefined
-}
+export const reasoningSummary = (request: LLMRequest): "auto" | undefined =>
+  options(request)?.reasoningSummary === "auto" ? "auto" : undefined
 
-export const encryptedReasoning = (request: LLMRequest) =>
-  options(request)?.includeEncryptedReasoning === true ? true : undefined
+// Resolve the OpenAI Responses `include` field. Filters out unknown
+// includable values defensively so a typo in upstream config drops the
+// invalid entry instead of poisoning the wire body. An empty array (either
+// passed directly or produced by filtering) is treated as "no include" and
+// returns undefined so the request body omits the field entirely.
+export const include = (request: LLMRequest): ReadonlyArray<OpenAIResponseIncludable> | undefined => {
+  const value = options(request)?.include
+  if (!Array.isArray(value)) return undefined
+  const filtered = value.filter((entry): entry is OpenAIResponseIncludable => INCLUDABLES.has(entry))
+  return filtered.length > 0 ? filtered : undefined
+}
 
 export const promptCacheKey = (request: LLMRequest) => {
   const value = options(request)?.promptCacheKey