update: fmt + memoryに用いる言語の構成

crates/llm-worker/src/llm_client/scheme/anthropic/events.rs

@@ -316,7 +316,8 @@ impl AnthropicScheme {
                 });
                 match &raw.content_block {
                     ContentBlock::Thinking {
-                        thinking, signature,
+                        thinking,
+                        signature,
                     } => {
                         state.pending_thinking = Some(PendingThinking {
                             text: thinking.clone(),
@@ -372,10 +373,7 @@ impl AnthropicScheme {
             }
             AnthropicEventType::ContentBlockStop => {
                 let raw: ContentBlockStopEvent = serde_json::from_str(data)?;
-                let block_type = state
-                    .current_block_type
-                    .take()
-                    .unwrap_or(BlockType::Text);
+                let block_type = state.current_block_type.take().unwrap_or(BlockType::Text);
                 emitted.push(Event::BlockStop(BlockStop {
                     index: raw.index,
                     block_type,

crates/llm-worker/src/llm_client/scheme/openai_responses/events.rs

@@ -458,7 +458,10 @@ pub(crate) fn parse_sse(
         "response.reasoning_text.delta" => {
             let ev: ReasoningTextDelta = from_json(data)?;
             // round-trip 用に蓄積
-            state.ensure_reasoning(ev.output_index).text.push_str(&ev.delta);
+            state
+                .ensure_reasoning(ev.output_index)
+                .text
+                .push_str(&ev.delta);
             Ok(ensure_and_delta(
                 state,
                 SlotKey::ContentPart {