Add LLM token

frontend/src/api/rag.ts

@@ -76,6 +76,27 @@ function parseSSEChunk(raw: string, onMessage: (data: SSEMessage) => void) {
       onMessage({ type: 'error', text: joined });
     } else if (eventName === 'status') {
       onMessage({ type: 'status', text: joined });
+    } else if (eventName === 'thinking') {
+      // P0-1: Agentic reasoning step events from /agent/agentic/stream
+      try {
+        const payload = JSON.parse(joined) as Record<string, unknown>;
+        onMessage({
+          type: 'thinking',
+          step: payload.step as string | undefined,
+          status: payload.status as string | undefined,
+          intent_type: payload.intent_type as string | undefined,
+          requires_decomposition: payload.requires_decomposition as boolean | undefined,
+          reason: payload.reason as string | undefined,
+          sub_queries: payload.sub_queries as string[] | undefined,
+          query: payload.query as string | undefined,
+          index: payload.index as number | undefined,
+          total: payload.total as number | undefined,
+          found: payload.found as number | undefined,
+          retry: payload.retry as boolean | undefined,
+          sufficient: payload.sufficient as boolean | undefined,
+          confidence: payload.confidence as number | undefined,
+        });
+      } catch { /* ignore */ }
     } else if (eventName === 'message') {
       // /rag/chat format: event:message + JSON body with type field
       try {
@@ -147,3 +168,73 @@ export async function ragChat(
 }
 
 export type { QuickQuestionsResponse, SSEMessage };
+
+/**
+ * P0-1 Agentic RAG chat — calls /agent/agentic/stream which runs the full
+ * intent-analysis → query-planning → retrieval → grounding-check → answer pipeline.
+ *
+ * The onMessage callback receives the same event types as ragChat plus
+ * ``type: 'thinking'`` events that carry live reasoning-step progress.
+ */
+export async function agenticChat(
+  query: string,
+  topK: number = 5,
+  onMessage: (data: SSEMessage) => void,
+  onError?: (error: Error) => void,
+  onComplete?: () => void,
+  filters?: string,
+  sessionId?: string,
+  signal?: AbortSignal,
+  contextText?: string,
+  contextFilename?: string,
+): Promise<void> {
+  try {
+    const response = await fetch(`${AGENT_API_BASE}/agent/agentic/stream`, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        Accept: 'text/event-stream',
+        ...(getToken() ? { Authorization: `Bearer ${getToken()}` } : {}),
+      },
+      body: JSON.stringify({
+        query,
+        top_k: topK,
+        ...(filters ? { filters } : {}),
+        ...(sessionId ? { session_id: sessionId } : {}),
+        ...(contextText ? { context_text: contextText, context_filename: contextFilename ?? '' } : {}),
+      }),
+      signal,
+    });
+
+    if (!response.ok || !response.body) {
+      throw new Error(`HTTP error! status: ${response.status}`);
+    }
+
+    const reader = response.body.getReader();
+    const decoder = new TextDecoder();
+    let buffer = '';
+
+    while (true) {
+      const { done, value } = await reader.read();
+      if (done) break;
+
+      buffer += decoder.decode(value, { stream: true });
+      const parts = buffer.split('\n\n');
+      buffer = parts.pop() || '';
+      parseSSEChunk(parts.join('\n\n'), onMessage);
+    }
+
+    if (buffer.trim()) {
+      parseSSEChunk(buffer, onMessage);
+    }
+
+    if (onComplete) {
+      onComplete();
+    }
+  } catch (error) {
+    if (error instanceof DOMException && error.name === 'AbortError') return;
+    if (onError) {
+      onError(error instanceof Error ? error : new Error(String(error)));
+    }
+  }
+}