fix: parse Ollama reasoning fields

rust/README.md

@@ -40,6 +40,11 @@ Or provide an OAuth bearer token directly:
 export ANTHROPIC_AUTH_TOKEN="anthropic-oauth-or-proxy-bearer-token"
 ```
 
+For local OpenAI-compatible servers such as Ollama, including Qwen reasoning
+models, see [`../docs/local-openai-compatible-providers.md`](../docs/local-openai-compatible-providers.md).
+Use the exact model tag exposed by the server, for example `qwen3:latest`, and
+prefer `OLLAMA_HOST` for Ollama-specific local routing.
+
 ## Mock parity harness
 
 The workspace now includes a deterministic Anthropic-compatible mock service and a clean-environment CLI harness for end-to-end parity checks.

rust/crates/api/src/providers/openai_compat.rs

@@ -572,6 +572,7 @@ impl StreamState {
                 .delta
                 .reasoning_content
                 .filter(|value| !value.is_empty())
+                .or(choice.delta.reasoning.filter(|value| !value.is_empty()))
                 .or(choice
                     .delta
                     .thinking
@@ -827,6 +828,8 @@ struct ChatMessage {
     #[serde(default)]
     reasoning_content: Option<String>,
     #[serde(default)]
+    reasoning: Option<String>,
+    #[serde(default)]
     tool_calls: Vec<ResponseToolCall>,
 }
 
@@ -901,6 +904,8 @@ struct ChunkDelta {
     #[serde(default)]
     reasoning_content: Option<String>,
     #[serde(default)]
+    reasoning: Option<String>,
+    #[serde(default)]
     thinking: Option<ThinkingDelta>,
     #[serde(default, deserialize_with = "deserialize_null_as_empty_vec")]
     tool_calls: Vec<DeltaToolCall>,
@@ -1510,6 +1515,7 @@ fn normalize_response(
         .message
         .reasoning_content
         .filter(|value| !value.is_empty())
+        .or(choice.message.reasoning.filter(|value| !value.is_empty()))
     {
         content.push(OutputContentBlock::Thinking {
             thinking,
@@ -1992,6 +1998,7 @@ mod tests {
                     role: "assistant".to_string(),
                     content: Some("final answer".to_string()),
                     reasoning_content: Some("hidden thought".to_string()),
+                    reasoning: None,
                     tool_calls: Vec::new(),
                 },
                 finish_reason: Some("stop".to_string()),
@@ -2029,6 +2036,7 @@ mod tests {
                     delta: super::ChunkDelta {
                         content: None,
                         reasoning_content: Some("think".to_string()),
+                        reasoning: None,
                         thinking: None,
                         tool_calls: Vec::new(),
                     },
@@ -2046,6 +2054,7 @@ mod tests {
                         delta: super::ChunkDelta {
                             content: Some(" answer".to_string()),
                             reasoning_content: None,
+                            reasoning: None,
                             thinking: None,
                             tool_calls: Vec::new(),
                         },

rust/crates/api/tests/openai_compat_integration.rs

@@ -166,6 +166,55 @@ async fn send_message_preserves_deepseek_reasoning_content_before_text() {
     assert_eq!(body["thinking"], json!({"type": "enabled"}));
 }
 
+#[tokio::test]
+async fn send_message_preserves_ollama_reasoning_before_text() {
+    let state = Arc::new(Mutex::new(Vec::<CapturedRequest>::new()));
+    let body = concat!(
+        "{",
+        "\"id\":\"chatcmpl_ollama_reasoning\",",
+        "\"model\":\"qwen3:latest\",",
+        "\"choices\":[{",
+        "\"message\":{\"role\":\"assistant\",\"reasoning\":\"Think locally\",\"content\":\"Answer locally\",\"tool_calls\":[]},",
+        "\"finish_reason\":\"stop\"",
+        "}],",
+        "\"usage\":{\"prompt_tokens\":11,\"completion_tokens\":5}",
+        "}"
+    );
+    let server = spawn_server(
+        state.clone(),
+        vec![http_response("200 OK", "application/json", body)],
+    )
+    .await;
+
+    let client = OpenAiCompatClient::new("ollama-test-key", OpenAiCompatConfig::openai())
+        .with_base_url(server.base_url());
+    let response = client
+        .send_message(&MessageRequest {
+            model: "openai/qwen3:latest".to_string(),
+            ..sample_request(false)
+        })
+        .await
+        .expect("request should succeed");
+
+    assert_eq!(
+        response.content,
+        vec![
+            OutputContentBlock::Thinking {
+                thinking: "Think locally".to_string(),
+                signature: None,
+            },
+            OutputContentBlock::Text {
+                text: "Answer locally".to_string(),
+            },
+        ]
+    );
+
+    let captured = state.lock().await;
+    let request = captured.first().expect("server should capture request");
+    let body: serde_json::Value = serde_json::from_str(&request.body).expect("json body");
+    assert_eq!(body["model"], json!("qwen3:latest"));
+}
+
 #[tokio::test]
 async fn local_openai_gateway_strips_routing_prefix_and_preserves_extra_body_params() {
     let state = Arc::new(Mutex::new(Vec::<CapturedRequest>::new()));
@@ -389,6 +438,83 @@ async fn stream_message_normalizes_text_and_multiple_tool_calls() {
     assert!(request.body.contains("\"stream\":true"));
 }
 
+#[tokio::test]
+async fn stream_message_preserves_ollama_reasoning_before_text() {
+    let state = Arc::new(Mutex::new(Vec::<CapturedRequest>::new()));
+    let sse = concat!(
+        "data: {\"id\":\"chatcmpl_stream_ollama_reasoning\",\"model\":\"qwen3:latest\",\"choices\":[{\"delta\":{\"reasoning\":\"Think\"}}]}\n\n",
+        "data: {\"id\":\"chatcmpl_stream_ollama_reasoning\",\"choices\":[{\"delta\":{\"content\":\" answer\"},\"finish_reason\":\"stop\"}]}\n\n",
+        "data: [DONE]\n\n"
+    );
+    let server = spawn_server(
+        state.clone(),
+        vec![http_response_with_headers(
+            "200 OK",
+            "text/event-stream",
+            sse,
+            &[("x-request-id", "req_ollama_reasoning_stream")],
+        )],
+    )
+    .await;
+
+    let client = OpenAiCompatClient::new("ollama-test-key", OpenAiCompatConfig::openai())
+        .with_base_url(server.base_url());
+    let mut stream = client
+        .stream_message(&MessageRequest {
+            model: "openai/qwen3:latest".to_string(),
+            ..sample_request(false)
+        })
+        .await
+        .expect("stream should start");
+
+    assert_eq!(stream.request_id(), Some("req_ollama_reasoning_stream"));
+
+    let mut events = Vec::new();
+    while let Some(event) = stream.next_event().await.expect("event should parse") {
+        events.push(event);
+    }
+
+    assert!(matches!(events[0], StreamEvent::MessageStart(_)));
+    assert!(matches!(
+        events[1],
+        StreamEvent::ContentBlockStart(ContentBlockStartEvent {
+            index: 0,
+            content_block: OutputContentBlock::Thinking { .. },
+        })
+    ));
+    assert!(matches!(
+        events[2],
+        StreamEvent::ContentBlockDelta(ContentBlockDeltaEvent {
+            index: 0,
+            delta: ContentBlockDelta::ThinkingDelta { .. },
+        })
+    ));
+    assert!(matches!(
+        events[3],
+        StreamEvent::ContentBlockStop(ContentBlockStopEvent { index: 0 })
+    ));
+    assert!(matches!(
+        events[4],
+        StreamEvent::ContentBlockStart(ContentBlockStartEvent {
+            index: 1,
+            content_block: OutputContentBlock::Text { .. },
+        })
+    ));
+    assert!(matches!(
+        events[5],
+        StreamEvent::ContentBlockDelta(ContentBlockDeltaEvent {
+            index: 1,
+            delta: ContentBlockDelta::TextDelta { .. },
+        })
+    ));
+
+    let captured = state.lock().await;
+    let request = captured.first().expect("captured request");
+    let body: serde_json::Value = serde_json::from_str(&request.body).expect("json body");
+    assert_eq!(body["model"], json!("qwen3:latest"));
+    assert_eq!(body["stream"], json!(true));
+}
+
 #[allow(clippy::await_holding_lock)]
 #[tokio::test]
 async fn stream_message_retries_retryable_sse_handshake_failures() {

rust/crates/rusty-claude-cli/src/main.rs

@@ -2939,6 +2939,10 @@ fn validate_model_syntax(model: &str) -> Result<(), String> {
             err_msg.push_str("\nDid you mean `openai/");
             err_msg.push_str(trimmed);
             err_msg.push_str("`? (Requires OPENAI_API_KEY env var)");
+        } else if trimmed.starts_with("qwen") && trimmed.contains(':') {
+            err_msg.push_str("\nFor a local Ollama model, set `OPENAI_BASE_URL=http://127.0.0.1:11434/v1` before using tagged names like `");
+            err_msg.push_str(trimmed);
+            err_msg.push_str("`.");
         } else if trimmed.starts_with("qwen") {
             err_msg.push_str("\nDid you mean `qwen/");
             err_msg.push_str(trimmed);
@@ -19743,6 +19747,28 @@ mod alias_resolution_tests {
         assert!(result.unwrap_err().contains("invalid model syntax"));
     }
 
+    #[test]
+    fn qwen_invalid_model_hint_mentions_local_ollama_openai_base_url() {
+        let _guard = ollama_env_lock();
+        let _ollama_env = EnvVarGuard::unset("OLLAMA_HOST");
+        let _openai_env = EnvVarGuard::unset("OPENAI_BASE_URL");
+        let result = validate_model_syntax("qwen3:8b");
+
+        let error = result.expect_err("Ollama tag without local base URL should fail");
+        assert!(
+            error.contains("Ollama"),
+            "Qwen Ollama tag error should mention Ollama: {error}"
+        );
+        assert!(
+            error.contains("OPENAI_BASE_URL"),
+            "Qwen Ollama tag error should mention OPENAI_BASE_URL: {error}"
+        );
+        assert!(
+            error.contains("http://127.0.0.1:11434/v1"),
+            "Qwen Ollama tag error should show local Ollama OpenAI URL: {error}"
+        );
+    }
+
     #[test]
     fn test_direct_provider_model_passes() {
         // Direct provider/model strings should remain unchanged and pass