fix(providers): capture reasoning from multiple field names and echo both

The replay error ('reasoning_text in thinking mode must be passed back')
persisted because the endpoint emits reasoning under a name other than
reasoning_content — e.g. reasoning_text — which we never captured, so the
thinking never reached the transcript.

- capture reasoning from reasoning_content / reasoning_text / reasoning /
  thinking (first non-empty wins)
- echo the captured reasoning back as BOTH reasoning_content and
  reasoning_text on assistant messages
- FOCUS_DEBUG_FILE=<path> appends every raw network chunk to a file for
  diagnosing provider-protocol mismatches (both providers)
- regression tests: reasoning_text capture, dual-field replay

crates/focus-providers/src/anthropic.rs

@@ -122,6 +122,7 @@ impl StreamProvider for AnthropicProvider {
                         let chunk = chunks.next_chunk().await.map_err(|e| e.to_string())?;
                         match chunk {
                             Some(bytes) => {
+                                common::debug_chunk(&bytes);
                                 sse.feed(&bytes);
                                 while let Some(ev) = sse.next_event() {
                                     match turn.handle_sse(&ev, &tx) {

crates/focus-providers/src/common.rs

@@ -92,3 +92,25 @@ pub(crate) fn error_message(model: &str, msg: &str) -> AssistantMessage {
 pub(crate) fn send(tx: &SyncSender<StreamEvent>, event: StreamEvent) -> bool {
     tx.send(event).is_ok()
 }
+
+/// 诊断日志：设置 `FOCUS_DEBUG_FILE` 时，把每个原始网络 chunk 追加到该文件，
+/// 便于排查 provider 协议不兼容（如推理字段名差异）。
+/// Diagnostics: when `FOCUS_DEBUG_FILE` is set, append every raw network chunk
+/// to that file, for debugging provider-protocol mismatches (e.g. reasoning
+/// field names).
+pub(crate) fn debug_chunk(bytes: &[u8]) {
+    let Ok(path) = std::env::var("FOCUS_DEBUG_FILE") else {
+        return;
+    };
+    if path.is_empty() {
+        return;
+    }
+    use std::io::Write;
+    if let Ok(mut f) = std::fs::OpenOptions::new()
+        .create(true)
+        .append(true)
+        .open(&path)
+    {
+        let _ = writeln!(f, "{}", String::from_utf8_lossy(bytes));
+    }
+}

crates/focus-providers/src/openai.rs

@@ -142,6 +142,7 @@ impl StreamProvider for OpenAiProvider {
                         let chunk = chunks.next_chunk().await.map_err(|e| e.to_string())?;
                         match chunk {
                             Some(bytes) => {
+                                common::debug_chunk(&bytes);
                                 sse.feed(&bytes);
                                 while let Some(ev) = sse.next_event() {
                                     match turn.handle_sse(&ev, &tx) {
@@ -309,7 +310,13 @@ fn chat_message(m: &Message) -> JsonValue {
                 })
                 .collect();
             if !reasoning.is_empty() {
-                o.insert("reasoning_content", reasoning.into()).ok();
+                // 同时写 reasoning_content（DeepSeek 官方）与 reasoning_text
+                //（部分兼容层）；推理端点普遍接受这两个字段名。
+                // Write both reasoning_content (DeepSeek official) and
+                // reasoning_text (some compatible layers); reasoning-capable
+                // endpoints generally accept either name.
+                o.insert("reasoning_content", reasoning.clone().into()).ok();
+                o.insert("reasoning_text", reasoning.into()).ok();
             }
             let calls: Vec<&ToolCall> = a.content.iter().filter_map(|c| c.as_tool_call()).collect();
             if !calls.is_empty() {
@@ -591,14 +598,26 @@ impl OpenAiTurn {
                             }
                         }
                     }
-                    // 推理内容（如 DeepSeek reasoner）→ 思考块。
-                    // Reasoning content (e.g. DeepSeek reasoner) → thinking block.
-                    if let Some(reasoning) = delta.get_str("reasoning_content") {
-                        if !reasoning.is_empty() {
-                            for ev in self.reducer.thinking_delta(reasoning) {
-                                if !common::send(tx, ev) {
-                                    return Ok(false);
-                                }
+                    // 推理内容 → 思考块。不同端点字段名不同（DeepSeek 官方用
+                    // reasoning_content，部分兼容层用 reasoning_text / reasoning /
+                    // thinking），逐个尝试，取第一个非空。
+                    // Reasoning → thinking block. Field names differ across
+                    // endpoints (DeepSeek official uses reasoning_content; some
+                    // compatible layers use reasoning_text / reasoning /
+                    // thinking); try each in order, keep the first non-empty.
+                    const REASONING_FIELDS: [&str; 4] = [
+                        "reasoning_content",
+                        "reasoning_text",
+                        "reasoning",
+                        "thinking",
+                    ];
+                    if let Some(reasoning) = REASONING_FIELDS
+                        .iter()
+                        .find_map(|k| delta.get_str(k).filter(|v| !v.is_empty()))
+                    {
+                        for ev in self.reducer.thinking_delta(reasoning) {
+                            if !common::send(tx, ev) {
+                                return Ok(false);
                             }
                         }
                     }

crates/focus-providers/tests/openai_tests.rs

@@ -441,3 +441,102 @@ fn chat_replays_reasoning_content() {
     // Tool calls are still replayed.
     assert!(assistant.get_arr("tool_calls").is_some());
 }
+
+/// 部分兼容端点用 reasoning_text 而非 reasoning_content 输出推理——都必须捕获。
+/// Some compatible endpoints emit reasoning as reasoning_text instead of
+/// reasoning_content — both must be captured.
+#[test]
+fn chat_captures_reasoning_text() {
+    let mut mock = common::MockTransport::new();
+    mock.push_body(
+        "data: {\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\",\"reasoning_text\":\"\"},\"finish_reason\":null}]}\n\n\
+         data: {\"choices\":[{\"index\":0,\"delta\":{\"reasoning_text\":\"让我先\"},\"finish_reason\":null}]}\n\n\
+         data: {\"choices\":[{\"index\":0,\"delta\":{\"reasoning_text\":\"分析结构\"},\"finish_reason\":null}]}\n\n\
+         data: {\"choices\":[{\"index\":0,\"delta\":{\"content\":\"答案是\"},\"finish_reason\":null}]}\n\n\
+         data: {\"choices\":[{\"index\":0,\"delta\":{},\"finish_reason\":\"stop\"}]}\n\n\
+         data: [DONE]\n\n",
+    );
+    let provider = provider(mock, OpenAiProtocol::ChatCompletions);
+    let events = common::collect(&provider, &request());
+
+    let msg = final_message(&events);
+    assert_eq!(msg.content.len(), 2, "thinking + text");
+    match &msg.content[0] {
+        ContentBlock::Thinking(t) => {
+            assert_eq!(t.thinking, "让我先分析结构");
+        }
+        other => panic!("expected thinking block, got {:?}", other),
+    }
+    let text = msg.content[1].as_text().expect("text block");
+    assert_eq!(text.text, "答案是");
+}
+
+/// 回传时同时携带 reasoning_content 与 reasoning_text。
+/// Replays carry both reasoning_content and reasoning_text.
+#[test]
+fn chat_replays_both_reasoning_field_names() {
+    use focus_core::tool::{ToolEffects, ToolRegistry};
+
+    #[derive(Debug)]
+    struct NoopTool;
+    impl Tool for NoopTool {
+        fn name(&self) -> &str {
+            "noop"
+        }
+        fn description(&self) -> &str {
+            "does nothing"
+        }
+        fn parameters(&self) -> focus_json::JsonValue {
+            focus_json::JsonValue::obj()
+        }
+        fn effects(&self) -> ToolEffects {
+            ToolEffects::NONE
+        }
+        fn execute(
+            &self,
+            _id: &str,
+            _args: &focus_json::JsonValue,
+            _u: Option<&ToolUpdateSink>,
+        ) -> Result<ToolResult, focus_core::CoreError> {
+            Ok(ToolResult::text("ok"))
+        }
+    }
+
+    let request = ProviderRequest {
+        model: "deepseek-v4-flash".into(),
+        system_prompt: "sys".into(),
+        messages: vec![
+            Message::user_text("hi"),
+            Message::Assistant(AssistantMessage {
+                content: vec![ContentBlock::Thinking(ThinkingContent {
+                    thinking: "思考内容".into(),
+                    signature: None,
+                    redacted: false,
+                })],
+                model: "deepseek-v4-flash".into(),
+                usage: Usage::default(),
+                stop_reason: StopReason::Stop,
+                error_message: None,
+                timestamp: 0,
+            }),
+        ],
+        tools: ToolRegistry::with(Box::new(NoopTool)).tool_definitions(),
+        max_tokens: Some(512),
+        temperature: None,
+    };
+
+    let mut mock = common::MockTransport::new();
+    mock.push_body("data: [DONE]\n\n");
+    let provider = provider(mock.clone(), OpenAiProtocol::ChatCompletions);
+    let _ = common::collect(&provider, &request);
+
+    let req = mock.last_request();
+    let body: focus_json::JsonValue =
+        focus_json::parse(&String::from_utf8_lossy(&req.body)).unwrap();
+    let messages = body.get_arr("messages").unwrap();
+    // [0] = system，[1] = user，[2] = assistant。
+    // [0] = system, [1] = user, [2] = assistant.
+    let assistant = &messages[2];
+    assert_eq!(assistant.get_str("reasoning_content"), Some("思考内容"));
+    assert_eq!(assistant.get_str("reasoning_text"), Some("思考内容"));
+}