chore: generate

packages/llm/src/protocols/anthropic-messages.ts

@@ -482,13 +482,21 @@ const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(f
   }
 
   if (delta?.type === "thinking_delta" && delta.thinking) {
-    return [state, [LLMEvent.reasoningDelta({ id: `reasoning-${event.index ?? 0}`, text: delta.thinking })]] satisfies StepResult
+    return [
+      state,
+      [LLMEvent.reasoningDelta({ id: `reasoning-${event.index ?? 0}`, text: delta.thinking })],
+    ] satisfies StepResult
   }
 
   if (delta?.type === "signature_delta" && delta.signature) {
     return [
       state,
-      [LLMEvent.reasoningEnd({ id: `reasoning-${event.index ?? 0}`, providerMetadata: anthropicMetadata({ signature: delta.signature }) })],
+      [
+        LLMEvent.reasoningEnd({
+          id: `reasoning-${event.index ?? 0}`,
+          providerMetadata: anthropicMetadata({ signature: delta.signature }),
+        }),
+      ],
     ] satisfies StepResult
   }
 

packages/llm/src/protocols/bedrock-converse.ts

@@ -468,10 +468,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
     if (event.validationException || event.throttlingException) {
       const message =
         event.validationException?.message ?? event.throttlingException?.message ?? "Bedrock Converse error"
-      return [
+      return [state, [LLMEvent.providerError({ message, retryable: event.throttlingException !== undefined })]] as const
-        state,
-        [LLMEvent.providerError({ message, retryable: event.throttlingException !== undefined })],
-      ] as const
     }
 
     return [state, []] as const

packages/llm/src/protocols/openai-chat.ts

@@ -348,10 +348,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
 const finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {
   const hasToolCalls = state.toolCallEvents.length > 0
   const reason = state.finishReason === "stop" && hasToolCalls ? "tool-calls" : state.finishReason
-  return [
+  return [...state.toolCallEvents, ...(reason ? [LLMEvent.requestFinish({ reason, usage: state.usage })] : [])]
-    ...state.toolCallEvents,
-    ...(reason ? [LLMEvent.requestFinish({ reason, usage: state.usage })] : []),
-  ]
 }
 
 // =============================================================================

packages/llm/src/protocols/openai-responses.ts

@@ -377,12 +377,7 @@ const TERMINAL_TYPES = new Set(["response.completed", "response.incomplete", "re
 
 const onOutputTextDelta = (state: ParserState, event: OpenAIResponsesEvent): StepResult => {
   if (!event.delta) return [state, NO_EVENTS]
-  return [
+  return [state, [LLMEvent.textDelta({ id: event.item_id ?? "text-0", text: event.delta })]]
-    state,
-    [
-      LLMEvent.textDelta({ id: event.item_id ?? "text-0", text: event.delta }),
-    ],
-  ]
 }
 
 const onOutputItemAdded = (state: ParserState, event: OpenAIResponsesEvent): StepResult => {