diff --git a/.gitignore b/.gitignore
index 7b8da95f..33f60084 100644
--- a/.gitignore
+++ b/.gitignore
@@ -40,3 +40,5 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
+
+/lib/generated/prisma
diff --git a/app/App.tsx b/app/App.tsx
index 9040c38a..720f7c69 100644
--- a/app/App.tsx
+++ b/app/App.tsx
@@ -1,11 +1,26 @@
 "use client";
 
-import { useCallback } from "react";
-import { ChatKitPanel, type FactAction } from "@/components/ChatKitPanel";
-import { useColorScheme } from "@/hooks/useColorScheme";
+import { useCallback, useEffect } from "react";
+import {
+  ChatKitPanel,
+  type FactAction,
+  type ResponseUsage,
+} from "@/components/ChatKitPanel";
+import type { ColorScheme } from "@/hooks/useColorScheme";
+
+const FORCED_SCHEME: ColorScheme = "light";
 
 export default function App() {
-  const { scheme, setScheme } = useColorScheme();
+
+  useEffect(() => {
+    if (typeof document === "undefined") {
+      return;
+    }
+    const root = document.documentElement;
+    root.dataset.colorScheme = FORCED_SCHEME;
+    root.classList.remove("dark");
+    root.style.colorScheme = FORCED_SCHEME;
+  }, []);
 
   const handleWidgetAction = useCallback(async (action: FactAction) => {
     if (process.env.NODE_ENV !== "production") {
@@ -13,20 +28,46 @@ export default function App() {
     }
   }, []);
 
-  const handleResponseEnd = useCallback(() => {
-    if (process.env.NODE_ENV !== "production") {
-      console.debug("[ChatKitPanel] response end");
-    }
+  const handleResponseEnd = useCallback(
+    async (sessionId?: string, usage?: ResponseUsage, threadId?: string | null) => {
+      if (process.env.NODE_ENV !== "production") {
+        console.debug("[ChatKitPanel] response end", sessionId, usage, threadId);
+      }
+      if (!sessionId || !usage) return;
+      try {
+        await fetch("/api/usage/report", {
+          method: "POST",
+          headers: { "Content-Type": "application/json" },
+          body: JSON.stringify({
+            sessionId,
+            threadId,
+            model: usage.model,
+            promptTokens: usage.promptTokens,
+            completionTokens: usage.completionTokens,
+            totalTokens: usage.totalTokens,
+          }),
+        });
+      } catch (error) {
+        console.error("Failed to report usage:", error);
+      }
+    },
+    []
+  );
+
+  const handleInsertPrompt = useCallback(async (text: string) => {
+    // This will be passed to ChatKitPanel to handle prompt insertion
+    console.log("Insert prompt:", text);
   }, []);
 
   return (
-    <main className="flex min-h-screen flex-col items-center justify-end bg-slate-100 dark:bg-slate-950">
-      <div className="mx-auto w-full max-w-5xl">
+    <main className="flex min-h-screen bg-white">
+      <div className="flex flex-1 flex-col px-4 py-6 lg:px-8">
         <ChatKitPanel
-          theme={scheme}
+          theme={FORCED_SCHEME}
           onWidgetAction={handleWidgetAction}
           onResponseEnd={handleResponseEnd}
-          onThemeRequest={setScheme}
+          onThemeRequest={() => {}}
+          onInsertPrompt={handleInsertPrompt}
         />
       </div>
     </main>
diff --git a/app/api/create-session/pm/prompt_content/route.ts b/app/api/create-session/pm/prompt_content/route.ts
new file mode 100644
index 00000000..2dfdf691
--- /dev/null
+++ b/app/api/create-session/pm/prompt_content/route.ts
@@ -0,0 +1 @@
+export { runtime, GET } from "@/app/api/pm/prompt_content/route";
diff --git a/app/api/create-session/pm/tree/route.ts b/app/api/create-session/pm/tree/route.ts
new file mode 100644
index 00000000..46499965
--- /dev/null
+++ b/app/api/create-session/pm/tree/route.ts
@@ -0,0 +1 @@
+export { runtime, GET } from "@/app/api/pm/tree/route";
diff --git a/app/api/create-session/route.ts b/app/api/create-session/route.ts
index b391742a..30fb92ed 100644
--- a/app/api/create-session/route.ts
+++ b/app/api/create-session/route.ts
@@ -113,9 +113,14 @@ export async function POST(request: Request): Promise<Response> {
 
     const clientSecret = upstreamJson?.client_secret ?? null;
     const expiresAfter = upstreamJson?.expires_after ?? null;
+
+    // Session ID for tracking (use userId)
+    const sessionId = userId;
+
     const responsePayload = {
       client_secret: clientSecret,
       expires_after: expiresAfter,
+      session_id: sessionId,
     };
 
     return buildJsonResponse(
diff --git a/app/api/pm/prompt_content/route.ts b/app/api/pm/prompt_content/route.ts
new file mode 100644
index 00000000..05c1da53
--- /dev/null
+++ b/app/api/pm/prompt_content/route.ts
@@ -0,0 +1,32 @@
+export const runtime = "nodejs";
+
+import { NextRequest, NextResponse } from "next/server";
+import { pool } from "@/lib/pg";
+
+export async function GET(req: NextRequest) {
+  const id = Number(new URL(req.url).searchParams.get("id") || 0);
+  if (!id) return NextResponse.json({ id, content: "" });
+
+  const client = await pool.connect();
+  try {
+    const { rows } = await client.query<{ content: string }>(
+      `
+      SELECT content
+      FROM prompt_versions
+      WHERE prompt_id = $1 AND is_live = TRUE
+      ORDER BY version_number DESC
+      LIMIT 1
+      `,
+      [id]
+    );
+    return NextResponse.json(
+      { id, content: rows[0]?.content ?? "" },
+      { headers: { "Cache-Control": "no-store" } }
+    );
+  } catch (e) {
+    console.error("/api/pm/prompt_content error", e);
+    return NextResponse.json({ id, content: "" }, { status: 500 });
+  } finally {
+    client.release();
+  }
+}
diff --git a/app/api/pm/tree/route.ts b/app/api/pm/tree/route.ts
new file mode 100644
index 00000000..897128fa
--- /dev/null
+++ b/app/api/pm/tree/route.ts
@@ -0,0 +1,80 @@
+export const runtime = "nodejs";
+
+import { NextResponse } from "next/server";
+import { pool } from "@/lib/pg";
+
+type CatRow = { id: number; name: string; parent_id: number | null };
+type PromptRow = { id: number; title: string; category_id: number };
+
+type PromptSummary = { id: number; title: string };
+type CategoryNode = {
+  id: number;
+  name: string;
+  children: CategoryNode[];
+  prompts: PromptSummary[];
+};
+
+export async function GET() {
+  const client = await pool.connect();
+  try {
+    const { rows: cats } = await client.query<CatRow>(
+      "SELECT id, name, parent_id FROM categories"
+    );
+
+    const { rows: prompts } = await client.query<PromptRow>(`
+      SELECT p.id, p.title, p.category_id
+      FROM prompts p
+      WHERE EXISTS (
+        SELECT 1 FROM prompt_versions v
+        WHERE v.prompt_id = p.id AND v.is_live = TRUE
+      )
+      ORDER BY p.title ASC
+    `);
+
+    const nodes = new Map<number, CategoryNode>();
+    cats.forEach((c) =>
+      nodes.set(c.id, { id: c.id, name: c.name, children: [], prompts: [] })
+    );
+
+    const roots: CategoryNode[] = [];
+    cats.forEach((c) => {
+      const node = nodes.get(c.id);
+      if (!node) return;
+
+      const parentId = c.parent_id;
+      if (parentId !== null) {
+        const parent = nodes.get(parentId);
+        if (parent) {
+          parent.children.push(node);
+          return;
+        }
+      }
+      roots.push(node);
+    });
+
+    prompts.forEach((p) => {
+      const node = nodes.get(p.category_id);
+      if (node) node.prompts.push({ id: p.id, title: p.title });
+    });
+
+    const sortNode = (node: CategoryNode) => {
+      node.children.sort((a, b) => a.name.localeCompare(b.name));
+      node.prompts.sort((a, b) => a.title.localeCompare(b.title));
+      node.children.forEach(sortNode);
+    };
+    roots.forEach(sortNode);
+
+    return NextResponse.json(
+      { roots },
+      { headers: { "Cache-Control": "no-store" } }
+    );
+  } catch (e) {
+    console.error("/api/pm/tree error", e);
+    return NextResponse.json(
+      { error: "failed_to_load_tree" },
+      { status: 500 }
+    );
+  } finally {
+    client.release();
+  }
+}
diff --git a/app/api/usage/fetch-openai/route.ts b/app/api/usage/fetch-openai/route.ts
new file mode 100644
index 00000000..9c04510a
--- /dev/null
+++ b/app/api/usage/fetch-openai/route.ts
@@ -0,0 +1,128 @@
+import { NextRequest, NextResponse } from "next/server";
+import { prisma } from "@/lib/prisma";
+import { calculateCost } from "@/lib/pricing";
+
+export const runtime = "nodejs";
+
+interface OpenAIUsageResponse {
+  object: string;
+  data: Array<{
+    aggregation_timestamp: number;
+    n_requests: number;
+    operation: string;
+    snapshot_id: string;
+    n_context_tokens_total: number;
+    n_generated_tokens_total: number;
+  }>;
+  ft_data: Array<Record<string, unknown>>;
+  dalle_api_data: Array<Record<string, unknown>>;
+  whisper_api_data: Array<Record<string, unknown>>;
+  tts_api_data: Array<Record<string, unknown>>;
+  has_more: boolean;
+  next_page?: string;
+}
+
+export async function GET(request: NextRequest) {
+  try {
+    const apiKey = process.env.OPENAI_API_KEY;
+    if (!apiKey) {
+      return NextResponse.json(
+        { error: "OpenAI API key not configured" },
+        { status: 500 }
+      );
+    }
+
+    const { searchParams } = new URL(request.url);
+    const startDate = searchParams.get("start_date"); // Format: YYYY-MM-DD
+    const endDate = searchParams.get("end_date"); // Format: YYYY-MM-DD
+
+    // Build URL for OpenAI Usage API
+    let url = "https://api.openai.com/v1/usage";
+    const params = new URLSearchParams();
+
+    if (startDate) params.append("date", startDate);
+    if (endDate) params.append("end_date", endDate);
+
+    if (params.toString()) {
+      url += `?${params.toString()}`;
+    }
+
+    // Fetch usage data from OpenAI
+    const response = await fetch(url, {
+      method: "GET",
+      headers: {
+        Authorization: `Bearer ${apiKey}`,
+        "Content-Type": "application/json",
+      },
+    });
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      console.error("OpenAI API error:", errorText);
+      return NextResponse.json(
+        { error: "Failed to fetch usage from OpenAI", details: errorText },
+        { status: response.status }
+      );
+    }
+
+    const usageData: OpenAIUsageResponse = await response.json();
+
+    // Process and store usage data
+    const processedRecords = [];
+
+    for (const record of usageData.data) {
+      const date = new Date(record.aggregation_timestamp * 1000);
+      const dateOnly = new Date(date.toISOString().split("T")[0]);
+
+      const inputTokens = record.n_context_tokens_total || 0;
+      const outputTokens = record.n_generated_tokens_total || 0;
+      const totalTokens = inputTokens + outputTokens;
+
+      // Extract model from operation (e.g., "gpt-4o-2024-11-20")
+      const model = record.operation || "unknown";
+      const cost = calculateCost(model, inputTokens, outputTokens);
+
+      // Upsert daily aggregate
+      await prisma.dailyAggregate.upsert({
+        where: { date: dateOnly },
+        update: {
+          totalRequests: { increment: record.n_requests },
+          tokensInput: { increment: inputTokens },
+          tokensOutput: { increment: outputTokens },
+          tokensTotal: { increment: totalTokens },
+          totalCost: { increment: cost },
+        },
+        create: {
+          date: dateOnly,
+          totalRequests: record.n_requests,
+          tokensInput: inputTokens,
+          tokensOutput: outputTokens,
+          tokensTotal: totalTokens,
+          totalCost: cost,
+        },
+      });
+
+      processedRecords.push({
+        date: dateOnly,
+        model,
+        requests: record.n_requests,
+        inputTokens,
+        outputTokens,
+        totalTokens,
+        cost,
+      });
+    }
+
+    return NextResponse.json({
+      success: true,
+      recordsProcessed: processedRecords.length,
+      data: processedRecords,
+    });
+  } catch (error) {
+    console.error("Error fetching OpenAI usage:", error);
+    return NextResponse.json(
+      { error: "Internal server error", details: String(error) },
+      { status: 500 }
+    );
+  }
+}
diff --git a/app/api/usage/history/route.ts b/app/api/usage/history/route.ts
new file mode 100644
index 00000000..0806b96a
--- /dev/null
+++ b/app/api/usage/history/route.ts
@@ -0,0 +1,64 @@
+import { NextRequest, NextResponse } from "next/server";
+import { prisma } from "@/lib/prisma";
+
+export const runtime = "nodejs";
+
+export async function GET(request: NextRequest) {
+  try {
+    const { searchParams } = new URL(request.url);
+    const limit = parseInt(searchParams.get("limit") || "10");
+    const offset = parseInt(searchParams.get("offset") || "0");
+
+    // Get recent sessions with their aggregated logs
+    const sessions = await prisma.usageSession.findMany({
+      take: limit,
+      skip: offset,
+      orderBy: {
+        startTime: "desc",
+      },
+      include: {
+        logs: true,
+      },
+    });
+
+    const history = sessions.map((session) => {
+      const logs = session.logs;
+      const tokensInput = logs.reduce((sum, log) => sum + log.tokensInput, 0);
+      const tokensOutput = logs.reduce((sum, log) => sum + log.tokensOutput, 0);
+      const tokensTotal = logs.reduce((sum, log) => sum + log.tokensTotal, 0);
+      const cost = logs.reduce((sum, log) => sum + log.cost, 0);
+
+      return {
+        sessionId: session.sessionId,
+        userId: session.userId,
+        startTime: session.startTime.toISOString(),
+        endTime: session.endTime?.toISOString() || null,
+        requestCount: logs.length,
+        tokensInput,
+        tokensOutput,
+        tokensTotal,
+        cost,
+      };
+    });
+
+    // Get total count for pagination
+    const totalCount = await prisma.usageSession.count();
+
+    return NextResponse.json({
+      success: true,
+      history,
+      pagination: {
+        total: totalCount,
+        limit,
+        offset,
+        hasMore: offset + limit < totalCount,
+      },
+    });
+  } catch (error) {
+    console.error("Error fetching usage history:", error);
+    return NextResponse.json(
+      { error: "Internal server error", details: String(error) },
+      { status: 500 }
+    );
+  }
+}
diff --git a/app/api/usage/log/route.ts b/app/api/usage/log/route.ts
new file mode 100644
index 00000000..d4e07e14
--- /dev/null
+++ b/app/api/usage/log/route.ts
@@ -0,0 +1,96 @@
+import { NextRequest, NextResponse } from "next/server";
+import { prisma } from "@/lib/prisma";
+import { calculateCost } from "@/lib/pricing";
+
+export const runtime = "nodejs";
+
+interface LogUsageRequest {
+  sessionId: string;
+  model: string;
+  tokensInput: number;
+  tokensOutput: number;
+  userId?: string;
+}
+
+export async function POST(request: NextRequest) {
+  try {
+    const body: LogUsageRequest = await request.json();
+
+    const { sessionId, model, tokensInput, tokensOutput, userId } = body;
+
+    if (!sessionId || !model || tokensInput === undefined || tokensOutput === undefined) {
+      return NextResponse.json(
+        { error: "Missing required fields: sessionId, model, tokensInput, tokensOutput" },
+        { status: 400 }
+      );
+    }
+
+    const tokensTotal = tokensInput + tokensOutput;
+    const cost = calculateCost(model, tokensInput, tokensOutput);
+
+    // Ensure session exists
+    await prisma.usageSession.upsert({
+      where: { sessionId },
+      update: {
+        endTime: new Date(),
+        userId: userId || undefined,
+      },
+      create: {
+        sessionId,
+        userId: userId || undefined,
+        startTime: new Date(),
+      },
+    });
+
+    // Log the usage
+    const log = await prisma.usageLog.create({
+      data: {
+        sessionId,
+        model,
+        tokensInput,
+        tokensOutput,
+        tokensTotal,
+        cost,
+      },
+    });
+
+    // Update daily aggregate
+    const today = new Date();
+    today.setHours(0, 0, 0, 0);
+
+    await prisma.dailyAggregate.upsert({
+      where: { date: today },
+      update: {
+        totalRequests: { increment: 1 },
+        tokensInput: { increment: tokensInput },
+        tokensOutput: { increment: tokensOutput },
+        tokensTotal: { increment: tokensTotal },
+        totalCost: { increment: cost },
+      },
+      create: {
+        date: today,
+        totalRequests: 1,
+        tokensInput,
+        tokensOutput,
+        tokensTotal,
+        totalCost: cost,
+      },
+    });
+
+    return NextResponse.json({
+      success: true,
+      log: {
+        id: log.id,
+        sessionId: log.sessionId,
+        cost,
+        tokensTotal,
+      },
+    });
+  } catch (error) {
+    console.error("Error logging usage:", error);
+    return NextResponse.json(
+      { error: "Internal server error", details: String(error) },
+      { status: 500 }
+    );
+  }
+}
diff --git a/app/api/usage/report/route.ts b/app/api/usage/report/route.ts
new file mode 100644
index 00000000..edf2af1f
--- /dev/null
+++ b/app/api/usage/report/route.ts
@@ -0,0 +1,151 @@
+import { NextRequest, NextResponse } from "next/server";
+import { PrismaClient } from "@prisma/client";
+import { calculateCost } from "@/lib/pricing";
+
+export const runtime = "nodejs";
+
+const prisma = new PrismaClient();
+
+interface UsageReport {
+  sessionId: string;
+  threadId?: string | null;
+  model: string;
+  promptTokens: number;
+  completionTokens: number;
+  totalTokens: number;
+  timestamp?: string;
+}
+
+/**
+ * Endpoint to receive usage reports from ChatKit workflow or client
+ * POST /api/usage/report
+ */
+export async function POST(request: NextRequest) {
+  try {
+    const body = (await request.json()) as UsageReport;
+    const {
+      sessionId,
+      threadId,
+      model,
+      promptTokens,
+      completionTokens,
+      totalTokens,
+      timestamp,
+    } = body;
+
+    if (!sessionId || !model || totalTokens === undefined) {
+      return NextResponse.json(
+        { success: false, error: "Missing required fields" },
+        { status: 400 }
+      );
+    }
+
+    const cost = calculateCost(model, promptTokens, completionTokens);
+    const threadKey = threadId ?? "default";
+
+    // Ensure session exists
+    await prisma.usageSession.upsert({
+      where: { sessionId },
+      create: {
+        sessionId,
+        userId: null,
+        startTime: timestamp ? new Date(timestamp) : new Date(),
+      },
+      update: {},
+    });
+
+    const usageThread = await prisma.usageThread.upsert({
+      where: {
+        sessionId_threadKey: {
+          sessionId,
+          threadKey,
+        },
+      },
+      update: {},
+      create: {
+        sessionId,
+        threadKey,
+      },
+    });
+
+    await prisma.usageThreadModel.upsert({
+      where: {
+        usageThreadId_model: {
+          usageThreadId: usageThread.id,
+          model,
+        },
+      },
+      create: {
+        usageThreadId: usageThread.id,
+        model,
+        tokensInput: promptTokens,
+        tokensOutput: completionTokens,
+        tokensTotal: totalTokens,
+        cost,
+      },
+      update: {
+        tokensInput: { increment: promptTokens },
+        tokensOutput: { increment: completionTokens },
+        tokensTotal: { increment: totalTokens },
+        cost: { increment: cost },
+      },
+    });
+
+    // Log the usage
+    const log = await prisma.usageLog.create({
+      data: {
+        sessionId,
+        threadId: threadId ?? null,
+        model,
+        tokensInput: promptTokens,
+        tokensOutput: completionTokens,
+        tokensTotal: totalTokens,
+        cost,
+        timestamp: timestamp ? new Date(timestamp) : new Date(),
+      },
+    });
+
+    // Update daily aggregate
+    const today = new Date();
+    today.setHours(0, 0, 0, 0);
+
+    await prisma.dailyAggregate.upsert({
+      where: { date: today },
+      create: {
+        date: today,
+        totalRequests: 1,
+        tokensInput: promptTokens,
+        tokensOutput: completionTokens,
+        tokensTotal: totalTokens,
+        totalCost: cost,
+        modelBreakdown: { [model]: { requests: 1, tokens: totalTokens, cost } },
+      },
+      update: {
+        totalRequests: { increment: 1 },
+        tokensInput: { increment: promptTokens },
+        tokensOutput: { increment: completionTokens },
+        tokensTotal: { increment: totalTokens },
+        totalCost: { increment: cost },
+      },
+    });
+
+    return NextResponse.json({
+      success: true,
+      logged: {
+        id: log.id,
+        sessionId,
+        tokens: totalTokens,
+        cost,
+      },
+    });
+  } catch (error) {
+    console.error("Error reporting usage:", error);
+    return NextResponse.json(
+      {
+        success: false,
+        error: error instanceof Error ? error.message : "Unknown error",
+      },
+      { status: 500 }
+    );
+  }
+}
diff --git a/app/api/usage/stats/route.ts b/app/api/usage/stats/route.ts
new file mode 100644
index 00000000..cfaec420
--- /dev/null
+++ b/app/api/usage/stats/route.ts
@@ -0,0 +1,78 @@
+import { NextRequest, NextResponse } from "next/server";
+import { prisma } from "@/lib/prisma";
+
+export const runtime = "nodejs";
+
+export async function GET(request: NextRequest) {
+  try {
+    const { searchParams } = new URL(request.url);
+    const period = searchParams.get("period") || "7"; // days
+    const sessionId = searchParams.get("sessionId");
+
+    const daysAgo = parseInt(period);
+    const startDate = new Date();
+    startDate.setDate(startDate.getDate() - daysAgo);
+    startDate.setHours(0, 0, 0, 0);
+
+    // Get daily aggregates for the period
+    const dailyStats = await prisma.dailyAggregate.findMany({
+      where: {
+        date: {
+          gte: startDate,
+        },
+      },
+      orderBy: {
+        date: "asc",
+      },
+    });
+
+    // Get current session stats if sessionId provided
+    let currentSessionStats = null;
+    if (sessionId) {
+      const sessionLogs = await prisma.usageLog.findMany({
+        where: { sessionId },
+      });
+
+      if (sessionLogs.length > 0) {
+        currentSessionStats = {
+          sessionId,
+          tokensInput: sessionLogs.reduce((sum, log) => sum + log.tokensInput, 0),
+          tokensOutput: sessionLogs.reduce((sum, log) => sum + log.tokensOutput, 0),
+          tokensTotal: sessionLogs.reduce((sum, log) => sum + log.tokensTotal, 0),
+          cost: sessionLogs.reduce((sum, log) => sum + log.cost, 0),
+          requestCount: sessionLogs.length,
+        };
+      }
+    }
+
+    // Calculate totals
+    const totals = {
+      totalRequests: dailyStats.reduce((sum, day) => sum + day.totalRequests, 0),
+      tokensInput: dailyStats.reduce((sum, day) => sum + day.tokensInput, 0),
+      tokensOutput: dailyStats.reduce((sum, day) => sum + day.tokensOutput, 0),
+      tokensTotal: dailyStats.reduce((sum, day) => sum + day.tokensTotal, 0),
+      totalCost: dailyStats.reduce((sum, day) => sum + day.totalCost, 0),
+    };
+
+    return NextResponse.json({
+      success: true,
+      period: daysAgo,
+      dailyStats: dailyStats.map((day) => ({
+        date: day.date.toISOString().split("T")[0],
+        requests: day.totalRequests,
+        tokensInput: day.tokensInput,
+        tokensOutput: day.tokensOutput,
+        tokensTotal: day.tokensTotal,
+        cost: day.totalCost,
+      })),
+      totals,
+      currentSession: currentSessionStats,
+    });
+  } catch (error) {
+    console.error("Error fetching usage stats:", error);
+    return NextResponse.json(
+      { error: "Internal server error", details: String(error) },
+      { status: 500 }
+    );
+  }
+}
diff --git a/components/ChatKitPanel.tsx b/components/ChatKitPanel.tsx
index 067cae2c..f311fc18 100644
--- a/components/ChatKitPanel.tsx
+++ b/components/ChatKitPanel.tsx
@@ -11,6 +11,8 @@ import {
   getThemeConfig,
 } from "@/lib/config";
 import { ErrorOverlay } from "./ErrorOverlay";
+import PromptSidebar from "./PromptSidebar";
+import type { AggregatedModelUsage } from "./TokenUsagePanel";
 import type { ColorScheme } from "@/hooks/useColorScheme";
 
 export type FactAction = {
@@ -19,11 +21,19 @@ export type FactAction = {
   factText: string;
 };
 
+export type ResponseUsage = {
+  model: string;
+  promptTokens: number;
+  completionTokens: number;
+  totalTokens: number;
+};
+
 type ChatKitPanelProps = {
   theme: ColorScheme;
   onWidgetAction: (action: FactAction) => Promise<void>;
-  onResponseEnd: () => void;
+  onResponseEnd: (sessionId?: string, usage?: ResponseUsage, threadId?: string | null) => void;
   onThemeRequest: (scheme: ColorScheme) => void;
+  onInsertPrompt?: (text: string) => Promise<void>;
 };
 
 type ErrorState = {
@@ -33,8 +43,29 @@ type ErrorState = {
   retryable: boolean;
 };
 
+type WidgetAction = {
+  type: string;
+  values?: Record<string, unknown>;
+  payload?: Record<string, unknown>;
+};
+
+type SidebarMode = "none" | "prompts";
+
+type ChatKitLogEvent = {
+  name?: string;
+  data?: Record<string, unknown>;
+};
+
+type UsageEvent = ResponseUsage & { responseId?: string | null };
+type ResponseEndDetail = {
+  usage?: Record<string, unknown>;
+  model?: string;
+  response?: Record<string, unknown>;
+};
+
 const isBrowser = typeof window !== "undefined";
 const isDev = process.env.NODE_ENV !== "production";
+const THREADLESS_ID = "default";
 
 const createInitialErrors = (): ErrorState => ({
   script: null,
@@ -48,24 +79,88 @@ export function ChatKitPanel({
   onWidgetAction,
   onResponseEnd,
   onThemeRequest,
+  onInsertPrompt,
 }: ChatKitPanelProps) {
   const processedFacts = useRef(new Set<string>());
   const [errors, setErrors] = useState<ErrorState>(() => createInitialErrors());
   const [isInitializingSession, setIsInitializingSession] = useState(true);
   const isMountedRef = useRef(true);
-  const [scriptStatus, setScriptStatus] = useState<
-    "pending" | "ready" | "error"
-  >(() =>
-    isBrowser && window.customElements?.get("openai-chatkit")
-      ? "ready"
-      : "pending"
+  const [scriptStatus, setScriptStatus] = useState<"pending" | "ready" | "error">(
+    () => (isBrowser && window.customElements?.get("openai-chatkit") ? "ready" : "pending")
   );
   const [widgetInstanceKey, setWidgetInstanceKey] = useState(0);
+  const sessionIdRef = useRef<string | null>(null);
+  const responseCountRef = useRef(0);
+  const pendingUsageQueueRef = useRef<UsageEvent[]>([]);
+  const processedResponseIdsRef = useRef(new Set<string>());
+  const currentThreadIdRef = useRef<string>(THREADLESS_ID);
+  const threadUsageRef = useRef<Record<string, Record<string, AggregatedModelUsage>>>({
+    [THREADLESS_ID]: {},
+  });
+  const [sidebarMode, setSidebarMode] = useState<SidebarMode>("prompts");
+  const [, setUsageByModel] = useState<Record<string, AggregatedModelUsage>>({});
 
   const setErrorState = useCallback((updates: Partial<ErrorState>) => {
     setErrors((current) => ({ ...current, ...updates }));
   }, []);
 
+  const clearUsageTracking = useCallback(() => {
+    pendingUsageQueueRef.current = [];
+    processedResponseIdsRef.current.clear();
+    threadUsageRef.current = { [THREADLESS_ID]: {} };
+    currentThreadIdRef.current = THREADLESS_ID;
+    setUsageByModel({});
+  }, []);
+
+  const handleUsageLog = useCallback((entry?: ChatKitLogEvent) => {
+    const usageEvent = extractUsageEvent(entry);
+    if (!usageEvent) return;
+    if (
+      usageEvent.responseId &&
+      processedResponseIdsRef.current.has(usageEvent.responseId)
+    ) {
+      return;
+    }
+    if (usageEvent.responseId) {
+      processedResponseIdsRef.current.add(usageEvent.responseId);
+    }
+    pendingUsageQueueRef.current = [...pendingUsageQueueRef.current, usageEvent];
+  }, []);
+
+  const applyUsageToState = useCallback((usage: ResponseUsage) => {
+    setUsageByModel((prev) => {
+      const current = prev[usage.model] ?? {
+        model: usage.model,
+        promptTokens: 0,
+        completionTokens: 0,
+        totalTokens: 0,
+      };
+      const updated = {
+        model: usage.model,
+        promptTokens: current.promptTokens + usage.promptTokens,
+        completionTokens: current.completionTokens + usage.completionTokens,
+        totalTokens: current.totalTokens + usage.totalTokens,
+      };
+      const next = { ...prev, [usage.model]: updated };
+      threadUsageRef.current[currentThreadIdRef.current] = next;
+      return next;
+    });
+  }, []);
+
+  const switchToThread = useCallback((threadId: string | null) => {
+    const nextId = threadId ?? THREADLESS_ID;
+    currentThreadIdRef.current = nextId;
+    const saved = threadUsageRef.current[nextId];
+    if (saved) {
+      const clone = { ...saved };
+      threadUsageRef.current[nextId] = clone;
+      setUsageByModel(clone);
+    } else {
+      threadUsageRef.current[nextId] = {};
+      setUsageByModel({});
+    }
+  }, []);
+
   useEffect(() => {
     return () => {
       isMountedRef.current = false;
@@ -73,36 +168,27 @@ export function ChatKitPanel({
   }, []);
 
   useEffect(() => {
-    if (!isBrowser) {
-      return;
-    }
+    if (!isBrowser) return;
 
     let timeoutId: number | undefined;
 
     const handleLoaded = () => {
-      if (!isMountedRef.current) {
-        return;
-      }
+      if (!isMountedRef.current) return;
       setScriptStatus("ready");
       setErrorState({ script: null });
     };
 
     const handleError = (event: Event) => {
       console.error("Failed to load chatkit.js for some reason", event);
-      if (!isMountedRef.current) {
-        return;
-      }
+      if (!isMountedRef.current) return;
       setScriptStatus("error");
       const detail = (event as CustomEvent<unknown>)?.detail ?? "unknown error";
-      setErrorState({ script: `Error: ${detail}`, retryable: false });
+      setErrorState({ script: `Error: ${String(detail)}`, retryable: false });
       setIsInitializingSession(false);
     };
 
     window.addEventListener("chatkit-script-loaded", handleLoaded);
-    window.addEventListener(
-      "chatkit-script-error",
-      handleError as EventListener
-    );
+    window.addEventListener("chatkit-script-error", handleError as EventListener);
 
     if (window.customElements?.get("openai-chatkit")) {
       handleLoaded();
@@ -121,13 +207,8 @@ export function ChatKitPanel({
 
     return () => {
       window.removeEventListener("chatkit-script-loaded", handleLoaded);
-      window.removeEventListener(
-        "chatkit-script-error",
-        handleError as EventListener
-      );
-      if (timeoutId) {
-        window.clearTimeout(timeoutId);
-      }
+      window.removeEventListener("chatkit-script-error", handleError as EventListener);
+      if (timeoutId) window.clearTimeout(timeoutId);
     };
   }, [scriptStatus, setErrorState]);
 
@@ -147,6 +228,7 @@ export function ChatKitPanel({
 
   const handleResetChat = useCallback(() => {
     processedFacts.current.clear();
+    clearUsageTracking();
     if (isBrowser) {
       setScriptStatus(
         window.customElements?.get("openai-chatkit") ? "ready" : "pending"
@@ -155,7 +237,7 @@ export function ChatKitPanel({
     setIsInitializingSession(true);
     setErrors(createInitialErrors());
     setWidgetInstanceKey((prev) => prev + 1);
-  }, []);
+  }, [clearUsageTracking]);
 
   const getClientSecret = useCallback(
     async (currentSecret: string | null) => {
@@ -168,8 +250,7 @@ export function ChatKitPanel({
       }
 
       if (!isWorkflowConfigured) {
-        const detail =
-          "Set NEXT_PUBLIC_CHATKIT_WORKFLOW_ID in your .env.local file.";
+        const detail = "Set NEXT_PUBLIC_CHATKIT_WORKFLOW_ID in your .env.local file.";
         if (isMountedRef.current) {
           setErrorState({ session: detail, retryable: false });
           setIsInitializingSession(false);
@@ -178,25 +259,19 @@ export function ChatKitPanel({
       }
 
       if (isMountedRef.current) {
-        if (!currentSecret) {
-          setIsInitializingSession(true);
-        }
+        if (!currentSecret) setIsInitializingSession(true);
         setErrorState({ session: null, integration: null, retryable: false });
       }
 
       try {
         const response = await fetch(CREATE_SESSION_ENDPOINT, {
           method: "POST",
-          headers: {
-            "Content-Type": "application/json",
-          },
+          headers: { "Content-Type": "application/json" },
           body: JSON.stringify({
             workflow: { id: WORKFLOW_ID },
             chatkit_configuration: {
               // enable attachments
-              file_upload: {
-                enabled: true,
-              },
+              file_upload: { enabled: true },
             },
           }),
         });
@@ -216,10 +291,7 @@ export function ChatKitPanel({
           try {
             data = JSON.parse(raw) as Record<string, unknown>;
           } catch (parseError) {
-            console.error(
-              "Failed to parse create-session response",
-              parseError
-            );
+            console.error("Failed to parse create-session response", parseError);
           }
         }
 
@@ -237,6 +309,12 @@ export function ChatKitPanel({
           throw new Error("Missing client secret in response");
         }
 
+        // Capture session_id for tracking
+        const sessionId = data?.session_id as string | undefined;
+        if (sessionId) {
+          sessionIdRef.current = sessionId;
+        }
+
         if (isMountedRef.current) {
           setErrorState({ session: null, integration: null });
         }
@@ -261,37 +339,45 @@ export function ChatKitPanel({
     [isWorkflowConfigured, setErrorState]
   );
 
-  const chatkit = useChatKit({
+  const { control, setComposerValue, focusComposer } = useChatKit({
+    locale: "de-DE",
     api: { getClientSecret },
-    theme: {
-      colorScheme: theme,
-      ...getThemeConfig(theme),
-    },
-    startScreen: {
-      greeting: GREETING,
-      prompts: STARTER_PROMPTS,
-    },
+    theme: { colorScheme: theme, ...getThemeConfig(theme) },
+    startScreen: { greeting: GREETING, prompts: STARTER_PROMPTS },
     composer: {
       placeholder: PLACEHOLDER_INPUT,
-      attachments: {
-        // Enable attachments
-        enabled: true,
-      },
+      attachments: { enabled: true },
     },
-    threadItemActions: {
-      feedback: false,
+    // Handle widget button "In Eingabefeld übernehmen"
+    widgets: {
+      onAction: async (action: WidgetAction) => {
+        if (action.type === "prompt.insert") {
+          const text =
+            typeof action.values?.prompt_text === "string"
+              ? action.values.prompt_text
+              : "";
+          const trimmed = text.trim();
+          if (trimmed) {
+            if (onInsertPrompt) {
+              await onInsertPrompt(trimmed);
+            }
+            await setComposerValue({ text: "" });
+            await setComposerValue({ text: trimmed });
+            await focusComposer();
+          }
+        }
+      },
     },
+    threadItemActions: { feedback: false },
     onClientTool: async (invocation: {
       name: string;
       params: Record<string, unknown>;
     }) => {
       if (invocation.name === "switch_theme") {
         const requested = invocation.params.theme;
-        if (requested === "light" || requested === "dark") {
-          if (isDev) {
-            console.debug("[ChatKitPanel] switch_theme", requested);
-          }
-          onThemeRequest(requested);
+        if (requested === "light") {
+          if (isDev) console.debug("[ChatKitPanel] switch_theme", requested);
+          onThemeRequest(requested as ColorScheme);
           return { success: true };
         }
         return { success: false };
@@ -300,9 +386,7 @@ export function ChatKitPanel({
       if (invocation.name === "record_fact") {
         const id = String(invocation.params.fact_id ?? "");
         const text = String(invocation.params.fact_text ?? "");
-        if (!id || processedFacts.current.has(id)) {
-          return { success: true };
-        }
+        if (!id || processedFacts.current.has(id)) return { success: true };
         processedFacts.current.add(id);
         void onWidgetAction({
           type: "save",
@@ -314,29 +398,76 @@ export function ChatKitPanel({
 
       return { success: false };
     },
-    onResponseEnd: () => {
-      onResponseEnd();
+    onResponseEnd: (event: unknown) => {
+      const detail = event as ResponseEndDetail | undefined;
+      responseCountRef.current += 1;
+      let usagePayload = extractUsageFromResponse(detail);
+      const usageFromDetail = Boolean(usagePayload);
+      if (!usagePayload && pendingUsageQueueRef.current.length > 0) {
+        const [latestUsage, ...rest] = pendingUsageQueueRef.current;
+        pendingUsageQueueRef.current = rest;
+        usagePayload = latestUsage
+          ? {
+              model: latestUsage.model,
+              promptTokens: latestUsage.promptTokens,
+              completionTokens: latestUsage.completionTokens,
+              totalTokens: latestUsage.totalTokens,
+            }
+          : undefined;
+      }
+      if (usagePayload) {
+        applyUsageToState(usagePayload);
+        if (usageFromDetail) {
+          pendingUsageQueueRef.current = [];
+          processedResponseIdsRef.current.clear();
+        }
+      }
+      onResponseEnd(
+        sessionIdRef.current ?? undefined,
+        usagePayload,
+        currentThreadIdRef.current === THREADLESS_ID
+          ? null
+          : currentThreadIdRef.current
+      );
     },
     onResponseStart: () => {
       setErrorState({ integration: null, retryable: false });
     },
-    onThreadChange: () => {
+    onThreadChange: ({ threadId }: { threadId: string | null }) => {
       processedFacts.current.clear();
+      pendingUsageQueueRef.current = [];
+      processedResponseIdsRef.current.clear();
+      switchToThread(threadId);
     },
     onError: ({ error }: { error: unknown }) => {
-      // Note that Chatkit UI handles errors for your users.
-      // Thus, your app code doesn't need to display errors on UI.
       console.error("ChatKit error", error);
     },
+    onLog: (entry?: ChatKitLogEvent) => {
+      handleUsageLog(entry);
+    },
   });
 
+  const handleInsertPrompt = useCallback(
+    async (text: string) => {
+      const trimmed = text.trim();
+      if (!trimmed) return;
+      await setComposerValue({ text: "" });
+      await setComposerValue({ text: trimmed });
+      await focusComposer();
+      if (onInsertPrompt) {
+        await onInsertPrompt(trimmed);
+      }
+    },
+    [focusComposer, onInsertPrompt, setComposerValue]
+  );
+
   const activeError = errors.session ?? errors.integration;
   const blockingError = errors.script ?? activeError;
 
   if (isDev) {
     console.debug("[ChatKitPanel] render state", {
       isInitializingSession,
-      hasControl: Boolean(chatkit.control),
+      hasControl: Boolean(control),
       scriptStatus,
       hasError: Boolean(blockingError),
       workflowId: WORKFLOW_ID,
@@ -344,26 +475,71 @@ export function ChatKitPanel({
   }
 
   return (
-    <div className="relative pb-8 flex h-[90vh] w-full rounded-2xl flex-col overflow-hidden bg-white shadow-sm transition-colors dark:bg-slate-900">
-      <ChatKit
-        key={widgetInstanceKey}
-        control={chatkit.control}
-        className={
-          blockingError || isInitializingSession
-            ? "pointer-events-none opacity-0"
-            : "block h-full w-full"
-        }
-      />
-      <ErrorOverlay
-        error={blockingError}
-        fallbackMessage={
-          blockingError || !isInitializingSession
-            ? null
-            : "Loading assistant session..."
-        }
-        onRetry={blockingError && errors.retryable ? handleResetChat : null}
-        retryLabel="Restart chat"
-      />
+    <div className="flex h-[90vh] w-full gap-4">
+      <div className="hidden lg:flex flex-col w-72 shrink-0">
+        <div className="flex flex-row items-center justify-end mb-3 gap-2">
+          {/* Prompt-Manager Toggle */}
+          <button
+            type="button"
+            onClick={() =>
+              setSidebarMode(
+                sidebarMode === "prompts" ? "none" : "prompts"
+              )
+            }
+            className={`w-8 h-8 flex items-center justify-center rounded-lg bg-gray-100 transition-colors 
+              ${sidebarMode === "prompts"
+                ? "ring-2 ring-[#bb0a30] bg-gray-200"
+                : "hover:bg-gray-200"}
+            `}
+            aria-label="Prompt-Manager"
+          >
+            <svg
+              className={`w-5 h-5 ${sidebarMode === "prompts" ? "text-[#bb0a30]" : "text-[#bb0a30]/80"}`}
+              fill="none"
+              stroke="currentColor"
+              strokeWidth={2}
+              viewBox="0 0 24 24"
+            >
+              <path
+                d="M17 19H7a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h7a2 2 0 0 1 2 2zm0 0V6a2 2 0 0 1 2-2h.001A2 2 0 0 1 21 6v11a2 2 0 0 1-2 2z"
+                strokeLinecap="round"
+                strokeLinejoin="round"
+              />
+            </svg>
+          </button>
+        </div>
+        {sidebarMode === "prompts" && (
+          <div className="flex-1 overflow-hidden rounded-2xl bg-white shadow">
+            <PromptSidebar onInsert={handleInsertPrompt} className="h-full" />
+          </div>
+        )}
+        {sidebarMode !== "prompts" && (
+          <div className="flex-1 flex items-center justify-center text-gray-300 text-sm bg-transparent">
+          </div>
+        )}
+      </div>
+
+      <div className="relative flex flex-1 flex-col overflow-hidden rounded-2xl bg-white pb-8 shadow-xl transition-colors">
+        <ChatKit
+          key={widgetInstanceKey}
+          control={control}
+          className={
+            blockingError || isInitializingSession
+              ? "pointer-events-none opacity-0"
+              : "block h-full w-full"
+          }
+        />
+        <ErrorOverlay
+          error={blockingError}
+          fallbackMessage={
+            blockingError || !isInitializingSession
+              ? null
+              : "Loading assistant session..."
+          }
+          onRetry={blockingError && errors.retryable ? handleResetChat : null}
+          retryLabel="Restart chat"
+        />
+      </div>
     </div>
   );
 }
@@ -372,14 +548,10 @@ function extractErrorDetail(
   payload: Record<string, unknown> | undefined,
   fallback: string
 ): string {
-  if (!payload) {
-    return fallback;
-  }
+  if (!payload) return fallback;
 
   const error = payload.error;
-  if (typeof error === "string") {
-    return error;
-  }
+  if (typeof error === "string") return error;
 
   if (
     error &&
@@ -391,15 +563,11 @@ function extractErrorDetail(
   }
 
   const details = payload.details;
-  if (typeof details === "string") {
-    return details;
-  }
+  if (typeof details === "string") return details;
 
   if (details && typeof details === "object" && "error" in details) {
     const nestedError = (details as { error?: unknown }).error;
-    if (typeof nestedError === "string") {
-      return nestedError;
-    }
+    if (typeof nestedError === "string") return nestedError;
     if (
       nestedError &&
       typeof nestedError === "object" &&
@@ -410,9 +578,148 @@ function extractErrorDetail(
     }
   }
 
-  if (typeof payload.message === "string") {
-    return payload.message;
-  }
+  if (typeof payload.message === "string") return payload.message;
 
   return fallback;
 }
+
+function extractUsageFromResponse(detail?: ResponseEndDetail): ResponseUsage | undefined {
+  if (!detail) return undefined;
+  const usageSource =
+    (isRecord(detail.usage) && detail.usage) ||
+    (isRecord(detail.response) && isRecord(detail.response.usage)
+      ? detail.response.usage
+      : undefined);
+  if (!usageSource) return undefined;
+
+  const model =
+    (typeof detail.model === "string" && detail.model) ||
+    (isRecord(detail.response) && typeof detail.response.model === "string"
+      ? detail.response.model
+      : undefined) ||
+    "unbekanntes-Modell";
+
+  const promptTokens = readNumber(
+    usageSource,
+    "prompt_tokens",
+    "input_tokens",
+    "input_token_count"
+  );
+  const completionTokens = readNumber(
+    usageSource,
+    "completion_tokens",
+    "output_tokens",
+    "output_token_count"
+  );
+  const totalTokens =
+    readNumber(usageSource, "total_tokens", "token_count") ||
+    promptTokens + completionTokens;
+
+  if (!totalTokens) return undefined;
+
+  return {
+    model,
+    promptTokens: promptTokens || Math.max(totalTokens - completionTokens, 0),
+    completionTokens:
+      completionTokens || Math.max(totalTokens - promptTokens, 0),
+    totalTokens,
+  };
+}
+
+function extractUsageEvent(entry?: ChatKitLogEvent): UsageEvent | null {
+  if (!entry) return null;
+  const payload = isRecord(entry.data) ? entry.data : {};
+  const response = resolveResponsePayload(payload);
+  const usageSource = resolveUsageSource(payload, response);
+  if (!usageSource) return null;
+
+  const promptTokens = readNumber(
+    usageSource,
+    "prompt_tokens",
+    "input_tokens",
+    "input_token_count"
+  );
+  const completionTokens = readNumber(
+    usageSource,
+    "completion_tokens",
+    "output_tokens",
+    "output_token_count"
+  );
+  const totalTokens =
+    readNumber(usageSource, "total_tokens", "token_count") ||
+    promptTokens + completionTokens;
+
+  if (!totalTokens) return null;
+
+  const model = resolveModelName(payload, response);
+  const responseId =
+    typeof payload.response_id === "string"
+      ? payload.response_id
+      : typeof response?.id === "string"
+        ? (response.id as string)
+        : undefined;
+
+  return {
+    model,
+    promptTokens: promptTokens || Math.max(totalTokens - completionTokens, 0),
+    completionTokens:
+      completionTokens || Math.max(totalTokens - promptTokens, 0),
+    totalTokens,
+    responseId,
+  };
+}
+
+function resolveResponsePayload(
+  payload: Record<string, unknown>
+): Record<string, unknown> | undefined {
+  if (isRecord(payload.response)) return payload.response;
+  if (isRecord(payload.last_response)) return payload.last_response;
+  return undefined;
+}
+
+function resolveUsageSource(
+  payload: Record<string, unknown>,
+  response?: Record<string, unknown>
+): Record<string, unknown> | undefined {
+  if (isRecord(payload.usage)) return payload.usage;
+  if (response && isRecord(response.usage)) return response.usage;
+  return undefined;
+}
+
+function resolveModelName(
+  payload: Record<string, unknown>,
+  response?: Record<string, unknown>
+): string {
+  if (typeof payload.model === "string" && payload.model.trim().length > 0) {
+    return payload.model;
+  }
+  if (
+    response &&
+    typeof response.model === "string" &&
+    response.model.trim().length > 0
+  ) {
+    return response.model;
+  }
+  return "unbekanntes-Modell";
+}
+
+function readNumber(
+  source: Record<string, unknown>,
+  ...keys: string[]
+): number {
+  for (const key of keys) {
+    const value = source[key];
+    if (typeof value === "number" && Number.isFinite(value)) {
+      return value;
+    }
+    if (typeof value === "string") {
+      const parsed = Number(value);
+      if (Number.isFinite(parsed)) return parsed;
+    }
+  }
+  return 0;
+}
+
+function isRecord(value: unknown): value is Record<string, unknown> {
+  return Boolean(value) && typeof value === "object";
+}
diff --git a/components/ErrorOverlay.tsx b/components/ErrorOverlay.tsx
index 7bb45d45..fd062b5b 100644
--- a/components/ErrorOverlay.tsx
+++ b/components/ErrorOverlay.tsx
@@ -26,13 +26,13 @@ export function ErrorOverlay({
   }
 
   return (
-    <div className="pointer-events-none absolute inset-0 z-10 flex h-full w-full flex-col justify-center rounded-[inherit] bg-white/85 p-6 text-center backdrop-blur dark:bg-slate-900/90">
-      <div className="pointer-events-auto mx-auto w-full max-w-md rounded-xl bg-white px-6 py-4 text-lg font-medium text-slate-700 dark:bg-transparent dark:text-slate-100">
+    <div className="pointer-events-none absolute inset-0 z-10 flex h-full w-full flex-col justify-center rounded-[inherit] bg-white/85 p-6 text-center backdrop-blur">
+      <div className="pointer-events-auto mx-auto w-full max-w-md rounded-xl bg-white px-6 py-4 text-lg font-medium text-slate-700">
         <div>{content}</div>
         {error && onRetry ? (
           <button
             type="button"
-            className="mt-4 inline-flex items-center justify-center rounded-lg bg-slate-900 px-4 py-2 text-sm font-semibold text-white shadow-none transition hover:bg-slate-800 focus:outline-none focus-visible:ring-2 focus-visible:ring-slate-500 focus-visible:ring-offset-2 dark:bg-slate-100 dark:text-slate-900 dark:hover:bg-slate-200"
+            className="mt-4 inline-flex items-center justify-center rounded-lg bg-slate-900 px-4 py-2 text-sm font-semibold text-white shadow-none transition hover:bg-slate-800 focus:outline-none focus-visible:ring-2 focus-visible:ring-slate-500 focus-visible:ring-offset-2"
             onClick={onRetry}
           >
             {retryLabel ?? "Restart chat"}
diff --git a/components/PromptSidebar.tsx b/components/PromptSidebar.tsx
new file mode 100644
index 00000000..75ed6f60
--- /dev/null
+++ b/components/PromptSidebar.tsx
@@ -0,0 +1,122 @@
+"use client";
+
+import { useEffect, useMemo, useState } from "react";
+
+type TreeNode = {
+  id: number;
+  name: string;
+  prompts: { id: number; title: string }[];
+  children: TreeNode[];
+};
+
+export default function PromptSidebar({
+  onInsert,
+  className,
+}: {
+  onInsert: (text: string) => Promise<void>;
+  className?: string;
+}) {
+  const [data, setData] = useState<{ roots: TreeNode[] } | null>(null);
+  const [err, setErr] = useState<string | null>(null);
+  const [q, setQ] = useState("");
+
+  useEffect(() => {
+    fetch("/api/pm/tree", { cache: "no-store" })
+      .then((r) => r.json())
+      .then(setData)
+      .catch((e) => setErr(String(e)));
+  }, []);
+
+  const lower = q.trim().toLowerCase();
+
+  const roots = useMemo(() => {
+    if (!data) return [];
+    if (!lower) return data.roots;
+
+    const filterNode = (node: TreeNode): TreeNode | null => {
+      const prompts = node.prompts.filter((x) =>
+        x.title.toLowerCase().includes(lower)
+      );
+      const children = node.children
+        .map(filterNode)
+        .filter((child): child is TreeNode => Boolean(child));
+      if (
+        prompts.length ||
+        children.length ||
+        node.name.toLowerCase().includes(lower)
+      ) {
+        return { ...node, prompts, children };
+      }
+      return null;
+    };
+
+    return data.roots
+      .map(filterNode)
+      .filter((node): node is TreeNode => Boolean(node));
+  }, [data, lower]);
+
+  const fetchContent = async (id: number) => {
+    const r = await fetch(`/api/pm/prompt_content?id=${id}`, { cache: "no-store" });
+    const j = (await r.json()) as { content: string };
+    await onInsert(j.content ?? "");
+  };
+
+  if (err) {
+    return (
+      <aside className={`flex h-full flex-col bg-white ${className ?? ""}`}>
+        <div className="p-3 text-sm text-red-600">Fehler: {err}</div>
+      </aside>
+    );
+  }
+
+  return (
+    <aside className={`flex h-full flex-col bg-white ${className ?? ""}`}>
+      <div className="p-3">
+        <input
+          className="w-full rounded-md border px-3 py-2 text-sm outline-none focus:ring"
+          placeholder="Vorlagen durchsuchen…"
+          value={q}
+          onChange={(e) => setQ(e.target.value)}
+        />
+      </div>
+      <div className="flex-1 overflow-y-auto px-2 pb-4">
+        {!data ? (
+          <div className="p-3 text-sm text-gray-500">Lade Vorlagen…</div>
+        ) : roots.length === 0 ? (
+          <div className="p-3 text-sm text-gray-500">Keine Treffer</div>
+        ) : (
+          roots.map((n) => <Node key={n.id} node={n} onChoose={fetchContent} />)
+        )}
+      </div>
+    </aside>
+  );
+}
+
+function Node({ node, onChoose }: { node: TreeNode; onChoose: (id: number) => void }) {
+  const [open, setOpen] = useState(true);
+  return (
+    <div className="mb-1">
+      <div className="flex cursor-pointer items-center gap-2 px-2 py-1 hover:bg-gray-50" onClick={() => setOpen((v) => !v)}>
+        <span className="text-gray-500">{open ? "▾" : "▸"}</span>
+        <span className="font-medium">{node.name}</span>
+      </div>
+      {open && (
+        <div className="ml-5">
+          {node.prompts.map((p) => (
+            <button
+              key={p.id}
+              onClick={() => onChoose(p.id)}
+              className="mb-0.5 block w-full truncate rounded-md px-2 py-1 text-left text-sm hover:bg-rose-50 hover:text-rose-700"
+              title={p.title}
+            >
+              📝 {p.title}
+            </button>
+          ))}
+          {node.children.map((c) => (
+            <Node key={c.id} node={c} onChoose={onChoose} />
+          ))}
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/components/TokenUsagePanel.tsx b/components/TokenUsagePanel.tsx
new file mode 100644
index 00000000..11904d5f
--- /dev/null
+++ b/components/TokenUsagePanel.tsx
@@ -0,0 +1,70 @@
+"use client";
+
+import { calculateCost, formatCost } from "@/lib/pricing";
+
+export type AggregatedModelUsage = {
+  model: string;
+  promptTokens: number;
+  completionTokens: number;
+  totalTokens: number;
+};
+
+export type TokenUsageSummary = {
+  models: AggregatedModelUsage[];
+  totalTokens: number;
+};
+
+type TokenUsagePanelProps = {
+  summary: TokenUsageSummary;
+};
+
+export default function TokenUsagePanel({ summary }: TokenUsagePanelProps) {
+  const hasData = summary.models.length > 0;
+  const totalCost = summary.models.reduce((sum, item) => {
+    return (
+      sum + calculateCost(item.model, item.promptTokens, item.completionTokens)
+    );
+  }, 0);
+
+  const formatPlainTokens = (value: number) =>
+    value.toLocaleString("de-DE", { maximumFractionDigits: 0 });
+
+  return (
+    <section className="flex h-full flex-col bg-white px-5 py-6">
+      <header className="mb-6">
+        <p className="text-lg font-semibold text-gray-900">
+          Token-Nutzung pro Modell
+        </p>
+      </header>
+
+      {hasData ? (
+        <>
+          <ul className="flex-1 space-y-4 text-base text-gray-900">
+            {summary.models.map((item) => (
+              <li key={item.model} className="flex items-center justify-between">
+                <span className="font-medium">{item.model}</span>
+                <span className="tabular-nums">
+                  {formatPlainTokens(item.totalTokens)}
+                </span>
+              </li>
+            ))}
+          </ul>
+          <div className="mt-auto pt-6 text-base text-gray-900">
+            <div className="flex items-center justify-between font-semibold">
+              <span>Geschätzte Kosten</span>
+              <span className="tabular-nums">{formatCost(totalCost)}</span>
+            </div>
+            <p className="mt-1 text-xs text-gray-500">
+              Basierend auf offiziellen OpenAI-Preisen.
+            </p>
+          </div>
+        </>
+      ) : (
+        <div className="rounded-2xl bg-gray-50 px-4 py-6 text-sm text-gray-500">
+          Noch keine Token verbraucht. Stelle eine Frage, um die Nutzung zu
+          sehen.
+        </div>
+      )}
+    </section>
+  );
+}
diff --git a/components/UsageSidebar.tsx b/components/UsageSidebar.tsx
new file mode 100644
index 00000000..d4936d44
--- /dev/null
+++ b/components/UsageSidebar.tsx
@@ -0,0 +1,322 @@
+"use client";
+
+import { useCallback, useEffect, useState } from "react";
+import { LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer } from "recharts";
+import { formatCost, formatTokens } from "@/lib/pricing";
+
+interface DailyStats {
+  date: string;
+  requests: number;
+  tokensInput: number;
+  tokensOutput: number;
+  tokensTotal: number;
+  cost: number;
+}
+
+interface CurrentSession {
+  sessionId: string;
+  tokensInput: number;
+  tokensOutput: number;
+  tokensTotal: number;
+  cost: number;
+  requestCount: number;
+}
+
+interface SessionHistory {
+  sessionId: string;
+  userId: string | null;
+  startTime: string;
+  endTime: string | null;
+  requestCount: number;
+  tokensInput: number;
+  tokensOutput: number;
+  tokensTotal: number;
+  cost: number;
+}
+
+interface UsageSidebarProps {
+  isOpen: boolean;
+  currentSessionId?: string;
+  sessionTokens?: number;
+  onSessionUpdate?: (stats: CurrentSession) => void;
+}
+
+export default function UsageSidebar({
+  isOpen,
+  currentSessionId,
+  sessionTokens = 0,
+}: UsageSidebarProps) {
+  const [dailyStats, setDailyStats] = useState<DailyStats[]>([]);
+  const [currentSession, setCurrentSession] = useState<CurrentSession | null>(null);
+  const [history, setHistory] = useState<SessionHistory[]>([]);
+  const [totals, setTotals] = useState({
+    totalRequests: 0,
+    tokensTotal: 0,
+    totalCost: 0,
+  });
+  const [loading, setLoading] = useState(true);
+  const [period, setPeriod] = useState<"7" | "30">("7");
+
+  const fetchStats = useCallback(async () => {
+    try {
+      setLoading(true);
+      const url = `/api/usage/stats?period=${period}${
+        currentSessionId ? `&sessionId=${currentSessionId}` : ""
+      }`;
+      const response = await fetch(url);
+      const data = await response.json();
+
+      if (data.success) {
+        setDailyStats(data.dailyStats);
+        setTotals(data.totals);
+        setCurrentSession(data.currentSession);
+      }
+    } catch (error) {
+      console.error("Error fetching stats:", error);
+    } finally {
+      setLoading(false);
+    }
+  }, [period, currentSessionId]);
+
+  const fetchHistory = async () => {
+    try {
+      const response = await fetch("/api/usage/history?limit=10");
+      const data = await response.json();
+
+      if (data.success) {
+        setHistory(data.history);
+      }
+    } catch (error) {
+      console.error("Error fetching history:", error);
+    }
+  };
+
+  useEffect(() => {
+    if (isOpen) {
+      fetchStats();
+      fetchHistory();
+    }
+  }, [isOpen, period, currentSessionId, fetchStats]);
+
+  // Auto-refresh every 10 seconds when open
+  useEffect(() => {
+    if (!isOpen) return;
+
+    const interval = setInterval(() => {
+      void fetchStats();
+    }, 10000); // 10 seconds
+
+    return () => clearInterval(interval);
+  }, [isOpen, fetchStats]);
+
+  if (!isOpen) return null;
+
+  return (
+    <div className="h-full w-full bg-white overflow-y-auto">
+      {/* Header */}
+      <div className="sticky top-0 bg-white border-b border-gray-200 p-4">
+        <h2 className="text-sm font-medium text-gray-900">
+          Token-Nutzung
+        </h2>
+      </div>
+
+        {loading ? (
+          <div className="p-4 space-y-4">
+            <div className="animate-pulse space-y-3">
+              <div className="h-20 bg-gray-100 rounded-md" />
+              <div className="h-32 bg-gray-100 rounded-md" />
+              <div className="h-24 bg-gray-100 rounded-md" />
+            </div>
+          </div>
+        ) : (
+          <div className="p-4 space-y-4">
+            {/* Current Session - Live Tracking */}
+            {sessionTokens > 0 && (
+              <div className="bg-gray-50 border border-gray-200 rounded-md p-3">
+                <h3 className="text-xs font-medium text-gray-600 mb-2">
+                  Aktuelle Sitzung
+                </h3>
+                <div className="space-y-1.5">
+                  <div className="flex justify-between text-xs">
+                    <span className="text-gray-600">Gesamt Tokens:</span>
+                    <span className="font-semibold text-gray-900 text-sm">
+                      {formatTokens(sessionTokens)}
+                    </span>
+                  </div>
+                  <div className="flex justify-between text-xs pt-1.5 border-t border-gray-200">
+                    <span className="text-gray-600">Geschätzte Kosten:</span>
+                    <span className="font-semibold text-gray-900">
+                      {formatCost((sessionTokens / 1_000_000) * 0.375)}
+                    </span>
+                  </div>
+                </div>
+              </div>
+            )}
+
+            {/* Database Session Info (if available) */}
+            {currentSession && (
+              <div className="bg-gray-50 border border-gray-200 rounded-md p-3">
+                <h3 className="text-xs font-medium text-gray-600 mb-2">
+                  Sitzungsverlauf
+                </h3>
+                <div className="space-y-1.5">
+                  <div className="flex justify-between text-xs">
+                    <span className="text-gray-600">Anfragen:</span>
+                    <span className="font-medium text-gray-900">
+                      {currentSession.requestCount}
+                    </span>
+                  </div>
+                  <div className="flex justify-between text-xs">
+                    <span className="text-gray-600">Tokens:</span>
+                    <span className="font-medium text-gray-900">
+                      {formatTokens(currentSession.tokensTotal)}
+                    </span>
+                  </div>
+                  <div className="flex justify-between text-xs pt-1.5 border-t border-gray-200">
+                    <span className="text-gray-600">Kosten:</span>
+                    <span className="font-semibold text-gray-900">
+                      {formatCost(currentSession.cost)}
+                    </span>
+                  </div>
+                </div>
+              </div>
+            )}
+
+            {/* Period Selector */}
+            <div className="flex gap-1.5">
+              <button
+                onClick={() => setPeriod("7")}
+                className={`flex-1 px-2 py-1.5 text-xs font-medium rounded-md transition-colors ${
+                  period === "7"
+                    ? "bg-gray-900 text-white"
+                    : "bg-gray-100 text-gray-600 hover:bg-gray-200"
+                }`}
+              >
+                7 Tage
+              </button>
+              <button
+                onClick={() => setPeriod("30")}
+                className={`flex-1 px-2 py-1.5 text-xs font-medium rounded-md transition-colors ${
+                  period === "30"
+                    ? "bg-gray-900 text-white"
+                    : "bg-gray-100 text-gray-600 hover:bg-gray-200"
+                }`}
+              >
+                30 Tage
+              </button>
+            </div>
+
+            {/* Totals */}
+            <div className="grid grid-cols-2 gap-2">
+              <div className="bg-gray-50 rounded-md p-2.5">
+                <div className="text-xs text-gray-500 mb-0.5">Anfragen</div>
+                <div className="text-base font-semibold text-gray-900">
+                  {totals.totalRequests}
+                </div>
+              </div>
+              <div className="bg-gray-50 rounded-md p-2.5">
+                <div className="text-xs text-gray-500 mb-0.5">Tokens</div>
+                <div className="text-base font-semibold text-gray-900">
+                  {formatTokens(totals.tokensTotal)}
+                </div>
+              </div>
+              <div className="col-span-2 bg-gray-50 rounded-md p-2.5">
+                <div className="text-xs text-gray-500 mb-0.5">Gesamtkosten</div>
+                <div className="text-xl font-bold text-gray-900">
+                  {formatCost(totals.totalCost)}
+                </div>
+              </div>
+            </div>
+
+            {/* Chart */}
+            {dailyStats.length > 0 && (
+              <div>
+                <h3 className="text-xs font-medium text-gray-600 mb-2">
+                  Nutzungstrend
+                </h3>
+                <div className="bg-gray-50 rounded-md p-2">
+                  <ResponsiveContainer width="100%" height={120}>
+                    <LineChart data={dailyStats}>
+                      <XAxis
+                        dataKey="date"
+                        tick={{ fontSize: 9, fill: "#6b7280" }}
+                        tickFormatter={(date) => new Date(date).toLocaleDateString("de-DE", { month: "short", day: "numeric" })}
+                      />
+                      <YAxis
+                        tick={{ fontSize: 9, fill: "#6b7280" }}
+                        tickFormatter={(value) => formatCost(value)}
+                      />
+                      <Tooltip
+                        contentStyle={{
+                          backgroundColor: "#ffffff",
+                          border: "1px solid #e5e7eb",
+                          borderRadius: "6px",
+                          fontSize: "11px",
+                        }}
+                        labelStyle={{ color: "#374151" }}
+                        formatter={(value: number) => [formatCost(value), "Kosten"]}
+                        labelFormatter={(date) => new Date(date).toLocaleDateString("de-DE")}
+                      />
+                      <Line
+                        type="monotone"
+                        dataKey="cost"
+                        stroke="#374151"
+                        strokeWidth={1.5}
+                        dot={{ fill: "#374151", r: 2 }}
+                      />
+                    </LineChart>
+                  </ResponsiveContainer>
+                </div>
+              </div>
+            )}
+
+            {/* Recent Sessions */}
+            {history.length > 0 && (
+              <div>
+                <h3 className="text-xs font-medium text-gray-600 mb-2">
+                  Letzte Sitzungen
+                </h3>
+                <div className="space-y-1.5">
+                  {history.map((session) => (
+                    <div
+                      key={session.sessionId}
+                      className="bg-gray-50 rounded-md p-2.5 text-xs"
+                    >
+                      <div className="flex justify-between items-start mb-1.5">
+                        <div className="text-gray-500 text-[10px]">
+                          {new Date(session.startTime).toLocaleDateString("de-DE", {
+                            month: "short",
+                            day: "numeric",
+                            hour: "2-digit",
+                            minute: "2-digit",
+                          })}
+                        </div>
+                        <div className="font-semibold text-gray-900">
+                          {formatCost(session.cost)}
+                        </div>
+                      </div>
+                      <div className="flex justify-between text-[10px] text-gray-500">
+                        <span>{session.requestCount} Anfragen</span>
+                        <span>{formatTokens(session.tokensTotal)} Tokens</span>
+                      </div>
+                    </div>
+                  ))}
+                </div>
+              </div>
+            )}
+
+            {/* Refresh Button */}
+            <button
+              onClick={() => {
+                fetchStats();
+                fetchHistory();
+              }}
+              className="w-full px-3 py-1.5 text-xs font-medium text-gray-600 bg-gray-100 hover:bg-gray-200 rounded-md transition-colors"
+            >
+              Aktualisieren
+            </button>
+          </div>
+        )}
+    </div>
+  );
+}
diff --git a/lib/config.ts b/lib/config.ts
index ccf5333e..5033f8db 100644
--- a/lib/config.ts
+++ b/lib/config.ts
@@ -1,4 +1,10 @@
-import { ColorScheme, StartScreenPrompt, ThemeOption } from "@openai/chatkit";
+import {
+  AccentColor,
+  ColorScheme,
+  GrayscaleOptions,
+  StartScreenPrompt,
+  ThemeOption,
+} from "@openai/chatkit";
 
 export const WORKFLOW_ID =
   process.env.NEXT_PUBLIC_CHATKIT_WORKFLOW_ID?.trim() ?? "";
@@ -7,27 +13,27 @@ export const CREATE_SESSION_ENDPOINT = "/api/create-session";
 
 export const STARTER_PROMPTS: StartScreenPrompt[] = [
   {
-    label: "What can you do?",
-    prompt: "What can you do?",
+    label: "Was kannst du tun?",
+    prompt: "Was kannst du tun?",
     icon: "circle-question",
   },
 ];
 
-export const PLACEHOLDER_INPUT = "Ask anything...";
+export const PLACEHOLDER_INPUT = "Schlaue Rechtsfrage...";
 
-export const GREETING = "How can I help you today?";
+export const GREETING = "Wie kann ich Ihnen helfen, liebe RuP-Mitarbeitende?";
+
+const lightGrayscale: GrayscaleOptions = { hue: 0, tint: 8, shade: -4 };
+const darkGrayscale: GrayscaleOptions = { hue: 0, tint: 4, shade: -2 };
+const accent: AccentColor = {
+  primary: "#bb0a30",
+  level: 2,
+};
 
 export const getThemeConfig = (theme: ColorScheme): ThemeOption => ({
   color: {
-    grayscale: {
-      hue: 220,
-      tint: 6,
-      shade: theme === "dark" ? -1 : -4,
-    },
-    accent: {
-      primary: theme === "dark" ? "#f1f5f9" : "#0f172a",
-      level: 1,
-    },
+    grayscale: theme === "dark" ? darkGrayscale : lightGrayscale,
+    accent,
   },
   radius: "round",
   // Add other theme options here
diff --git a/lib/pg.ts b/lib/pg.ts
new file mode 100644
index 00000000..178ae3ca
--- /dev/null
+++ b/lib/pg.ts
@@ -0,0 +1,20 @@
+// lib/pg.ts
+import { Pool } from "pg";
+
+const conn = process.env.PM_DATABASE_URL_RO;
+if (!conn) {
+  throw new Error("Missing env PM_DATABASE_URL_RO");
+}
+
+export const pool = new Pool({
+  connectionString: conn,
+  ssl: { rejectUnauthorized: false },
+  max: 5,
+});
+
+// Safety: force session read-only
+pool.on("connect", (client) => {
+  client
+    .query("SET SESSION CHARACTERISTICS AS TRANSACTION READ ONLY;")
+    .catch(() => {});
+});
diff --git a/lib/pricing.ts b/lib/pricing.ts
new file mode 100644
index 00000000..5026adab
--- /dev/null
+++ b/lib/pricing.ts
@@ -0,0 +1,122 @@
+// OpenAI pricing per 1M tokens (as of January 2025)
+// Prices are in USD
+
+export interface ModelPricing {
+  inputPer1M: number;
+  outputPer1M: number;
+}
+
+export const MODEL_PRICING: Record<string, ModelPricing> = {
+  // GPT-4o models
+  "gpt-4o": {
+    inputPer1M: 2.50,
+    outputPer1M: 10.00,
+  },
+  "gpt-4o-2024-11-20": {
+    inputPer1M: 2.50,
+    outputPer1M: 10.00,
+  },
+  "gpt-4o-2024-08-06": {
+    inputPer1M: 2.50,
+    outputPer1M: 10.00,
+  },
+  "gpt-4o-2024-05-13": {
+    inputPer1M: 5.00,
+    outputPer1M: 15.00,
+  },
+  "gpt-4o-mini": {
+    inputPer1M: 0.150,
+    outputPer1M: 0.600,
+  },
+  "gpt-4o-mini-2024-07-18": {
+    inputPer1M: 0.150,
+    outputPer1M: 0.600,
+  },
+
+  // GPT-4 Turbo models
+  "gpt-4-turbo": {
+    inputPer1M: 10.00,
+    outputPer1M: 30.00,
+  },
+  "gpt-4-turbo-2024-04-09": {
+    inputPer1M: 10.00,
+    outputPer1M: 30.00,
+  },
+  "gpt-4-turbo-preview": {
+    inputPer1M: 10.00,
+    outputPer1M: 30.00,
+  },
+
+  // GPT-4 models
+  "gpt-4": {
+    inputPer1M: 30.00,
+    outputPer1M: 60.00,
+  },
+  "gpt-4-0613": {
+    inputPer1M: 30.00,
+    outputPer1M: 60.00,
+  },
+  "gpt-4-32k": {
+    inputPer1M: 60.00,
+    outputPer1M: 120.00,
+  },
+
+  // GPT-3.5 Turbo models
+  "gpt-3.5-turbo": {
+    inputPer1M: 0.50,
+    outputPer1M: 1.50,
+  },
+  "gpt-3.5-turbo-0125": {
+    inputPer1M: 0.50,
+    outputPer1M: 1.50,
+  },
+  "gpt-3.5-turbo-1106": {
+    inputPer1M: 1.00,
+    outputPer1M: 2.00,
+  },
+
+  // o1 models
+  "o1": {
+    inputPer1M: 15.00,
+    outputPer1M: 60.00,
+  },
+  "o1-preview": {
+    inputPer1M: 15.00,
+    outputPer1M: 60.00,
+  },
+  "o1-mini": {
+    inputPer1M: 3.00,
+    outputPer1M: 12.00,
+  },
+};
+
+// Default pricing for unknown models (using gpt-4o as baseline)
+const DEFAULT_PRICING: ModelPricing = {
+  inputPer1M: 2.50,
+  outputPer1M: 10.00,
+};
+
+export function calculateCost(
+  model: string,
+  inputTokens: number,
+  outputTokens: number
+): number {
+  const pricing = MODEL_PRICING[model] || DEFAULT_PRICING;
+
+  const inputCost = (inputTokens / 1_000_000) * pricing.inputPer1M;
+  const outputCost = (outputTokens / 1_000_000) * pricing.outputPer1M;
+
+  return inputCost + outputCost;
+}
+
+export function formatCost(cost: number): string {
+  if (cost === 0) return "$0.00";
+  if (cost < 0.01) return `$${cost.toFixed(4)}`;
+  return `$${cost.toFixed(2)}`;
+}
+
+export function formatTokens(tokens: number): string {
+  if (tokens < 1000) return tokens.toString();
+  if (tokens < 1_000_000) return `${(tokens / 1000).toFixed(1)}K`;
+  return `${(tokens / 1_000_000).toFixed(2)}M`;
+}
diff --git a/lib/prisma.ts b/lib/prisma.ts
new file mode 100644
index 00000000..12b277a5
--- /dev/null
+++ b/lib/prisma.ts
@@ -0,0 +1,11 @@
+import { PrismaClient } from "@prisma/client";
+
+const globalForPrisma = global as unknown as { prisma: PrismaClient };
+
+export const prisma =
+  globalForPrisma.prisma ||
+  new PrismaClient({
+    log: process.env.NODE_ENV === "development" ? ["query", "error", "warn"] : ["error"],
+  });
+
+if (process.env.NODE_ENV !== "production") globalForPrisma.prisma = prisma;
diff --git a/lib/tokenCounter.ts b/lib/tokenCounter.ts
new file mode 100644
index 00000000..08095b6e
--- /dev/null
+++ b/lib/tokenCounter.ts
@@ -0,0 +1,37 @@
+import { encoding_for_model } from "tiktoken";
+
+type ModelName = "gpt-4" | "gpt-4o" | "gpt-4o-mini" | "gpt-3.5-turbo";
+
+/**
+ * Count tokens for a given text and model
+ */
+export function countTokens(text: string, model: ModelName = "gpt-4o-mini"): number {
+  try {
+    const encoding = encoding_for_model(model);
+    const tokens = encoding.encode(text);
+    const count = tokens.length;
+    encoding.free(); // Free up memory
+    return count;
+  } catch (error) {
+    console.error("Error counting tokens:", error);
+    // Fallback: rough estimate (4 chars per token)
+    return Math.ceil(text.length / 4);
+  }
+}
+
+/**
+ * Estimate tokens for a conversation message
+ * Messages have additional tokens for formatting
+ */
+export function countMessageTokens(
+  role: "user" | "assistant" | "system",
+  content: string,
+  model: ModelName = "gpt-4o-mini"
+): number {
+  // Each message has overhead: role, formatting, etc.
+  const messageOverhead = 4; // Approximate overhead per message
+  const contentTokens = countTokens(content, model);
+  const roleTokens = countTokens(role, model);
+
+  return messageOverhead + roleTokens + contentTokens;
+}
diff --git a/package-lock.json b/package-lock.json
index 22d2591e..f9c7a3a1 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -7,16 +7,25 @@
     "": {
       "name": "openai-chatkit-starter-app",
       "version": "0.1.0",
+      "hasInstallScript": true,
       "dependencies": {
         "@openai/chatkit-react": ">=1.1.1 <2.0.0",
+        "@prisma/client": "^6.19.0",
+        "@vercel/postgres": "^0.10.0",
+        "dotenv": "^17.2.3",
         "next": "^15.5.4",
+        "pg": "^8.16.3",
+        "prisma": "^6.19.0",
         "react": "^19.2.0",
-        "react-dom": "^19.2.0"
+        "react-dom": "^19.2.0",
+        "recharts": "^3.4.1",
+        "tiktoken": "^1.0.22"
       },
       "devDependencies": {
         "@eslint/eslintrc": "^3",
         "@tailwindcss/postcss": "^4",
         "@types/node": "^20",
+        "@types/pg": "^8.15.6",
         "@types/react": "^19",
         "@types/react-dom": "^19",
         "eslint": "^9",
@@ -31,8 +40,6 @@
     },
     "node_modules/@alloc/quick-lru": {
       "version": "5.2.0",
-      "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
-      "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -44,8 +51,6 @@
     },
     "node_modules/@emnapi/core": {
       "version": "1.5.0",
-      "resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.5.0.tgz",
-      "integrity": "sha512-sbP8GzB1WDzacS8fgNPpHlp6C9VZe+SJP3F90W9rLemaQj2PzIuTEl1qDOYQf58YIpyjViI24y9aPWCjEzY2cg==",
       "dev": true,
       "license": "MIT",
       "optional": true,
@@ -56,8 +61,7 @@
     },
     "node_modules/@emnapi/runtime": {
       "version": "1.5.0",
-      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.5.0.tgz",
-      "integrity": "sha512-97/BJ3iXHww3djw6hYIfErCZFee7qCtrneuLa20UXFCOTCfBM2cvQHjWJ2EG0s0MtdNwInarqCTz35i4wWXHsQ==",
+      "dev": true,
       "license": "MIT",
       "optional": true,
       "dependencies": {
@@ -66,8 +70,6 @@
     },
     "node_modules/@emnapi/wasi-threads": {
       "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@emnapi/wasi-threads/-/wasi-threads-1.1.0.tgz",
-      "integrity": "sha512-WI0DdZ8xFSbgMjR1sFsKABJ/C5OnRrjT06JXbZKexJGrDuPTzZdDYfFlsgcCXCyf+suG5QU2e/y1Wo2V/OapLQ==",
       "dev": true,
       "license": "MIT",
       "optional": true,
@@ -77,8 +79,6 @@
     },
     "node_modules/@eslint-community/eslint-utils": {
       "version": "4.9.0",
-      "resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.9.0.tgz",
-      "integrity": "sha512-ayVFHdtZ+hsq1t2Dy24wCmGXGe4q9Gu3smhLYALJrr473ZH27MsnSL+LKUlimp4BWJqMDMLmPpx/Q9R3OAlL4g==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -96,8 +96,6 @@
     },
     "node_modules/@eslint-community/eslint-utils/node_modules/eslint-visitor-keys": {
       "version": "3.4.3",
-      "resolved": "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz",
-      "integrity": "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==",
       "dev": true,
       "license": "Apache-2.0",
       "engines": {
@@ -109,8 +107,6 @@
     },
     "node_modules/@eslint-community/regexpp": {
       "version": "4.12.1",
-      "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.12.1.tgz",
-      "integrity": "sha512-CCZCDJuduB9OUkFkY2IgppNZMi2lBQgD2qzwXkEia16cge2pijY/aXi96CJMquDMn3nJdlPV1A5KrJEXwfLNzQ==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -119,8 +115,6 @@
     },
     "node_modules/@eslint/config-array": {
       "version": "0.21.0",
-      "resolved": "https://registry.npmjs.org/@eslint/config-array/-/config-array-0.21.0.tgz",
-      "integrity": "sha512-ENIdc4iLu0d93HeYirvKmrzshzofPw6VkZRKQGe9Nv46ZnWUzcF1xV01dcvEg/1wXUR61OmmlSfyeyO7EvjLxQ==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
@@ -134,8 +128,6 @@
     },
     "node_modules/@eslint/config-helpers": {
       "version": "0.4.0",
-      "resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.4.0.tgz",
-      "integrity": "sha512-WUFvV4WoIwW8Bv0KeKCIIEgdSiFOsulyN0xrMu+7z43q/hkOLXjvb5u7UC9jDxvRzcrbEmuZBX5yJZz1741jog==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
@@ -147,8 +139,6 @@
     },
     "node_modules/@eslint/core": {
       "version": "0.16.0",
-      "resolved": "https://registry.npmjs.org/@eslint/core/-/core-0.16.0.tgz",
-      "integrity": "sha512-nmC8/totwobIiFcGkDza3GIKfAw1+hLiYVrh3I1nIomQ8PEr5cxg34jnkmGawul/ep52wGRAcyeDCNtWKSOj4Q==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
@@ -160,8 +150,6 @@
     },
     "node_modules/@eslint/eslintrc": {
       "version": "3.3.1",
-      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.3.1.tgz",
-      "integrity": "sha512-gtF186CXhIl1p4pJNGZw8Yc6RlshoePRvE0X91oPGb3vZ8pM3qOS9W9NGPat9LziaBV7XrJWGylNQXkGcnM3IQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -184,8 +172,6 @@
     },
     "node_modules/@eslint/js": {
       "version": "9.37.0",
-      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.37.0.tgz",
-      "integrity": "sha512-jaS+NJ+hximswBG6pjNX0uEJZkrT0zwpVi3BA3vX22aFGjJjmgSTSmPpZCRKmoBL5VY/M6p0xsSJx7rk7sy5gg==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -197,8 +183,6 @@
     },
     "node_modules/@eslint/object-schema": {
       "version": "2.1.6",
-      "resolved": "https://registry.npmjs.org/@eslint/object-schema/-/object-schema-2.1.6.tgz",
-      "integrity": "sha512-RBMg5FRL0I0gs51M/guSAj5/e14VQ4tpZnQNWwuDT66P14I43ItmPfIZRhO9fUVIPOAQXU47atlywZ/czoqFPA==",
       "dev": true,
       "license": "Apache-2.0",
       "engines": {
@@ -207,8 +191,6 @@
     },
     "node_modules/@eslint/plugin-kit": {
       "version": "0.4.0",
-      "resolved": "https://registry.npmjs.org/@eslint/plugin-kit/-/plugin-kit-0.4.0.tgz",
-      "integrity": "sha512-sB5uyeq+dwCWyPi31B2gQlVlo+j5brPlWx4yZBrEaRo/nhdDE8Xke1gsGgtiBdaBTxuTkceLVuVt/pclrasb0A==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
@@ -221,8 +203,6 @@
     },
     "node_modules/@humanfs/core": {
       "version": "0.19.1",
-      "resolved": "https://registry.npmjs.org/@humanfs/core/-/core-0.19.1.tgz",
-      "integrity": "sha512-5DyQ4+1JEUzejeK1JGICcideyfUbGixgS9jNgex5nqkW+cY7WZhxBigmieN5Qnw9ZosSNVC9KQKyb+GUaGyKUA==",
       "dev": true,
       "license": "Apache-2.0",
       "engines": {
@@ -231,8 +211,6 @@
     },
     "node_modules/@humanfs/node": {
       "version": "0.16.7",
-      "resolved": "https://registry.npmjs.org/@humanfs/node/-/node-0.16.7.tgz",
-      "integrity": "sha512-/zUx+yOsIrG4Y43Eh2peDeKCxlRt/gET6aHfaKpuq267qXdYDFViVHfMaLyygZOnl0kGWxFIgsBy8QFuTLUXEQ==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
@@ -245,8 +223,6 @@
     },
     "node_modules/@humanwhocodes/module-importer": {
       "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@humanwhocodes/module-importer/-/module-importer-1.0.1.tgz",
-      "integrity": "sha512-bxveV4V8v5Yb4ncFTT3rPSgZBOpCkjfK0y4oVVVJwIuDVBRMDXrPyXRL988i5ap9m9bnyEEjWfm5WkBmtffLfA==",
       "dev": true,
       "license": "Apache-2.0",
       "engines": {
@@ -259,8 +235,6 @@
     },
     "node_modules/@humanwhocodes/retry": {
       "version": "0.4.3",
-      "resolved": "https://registry.npmjs.org/@humanwhocodes/retry/-/retry-0.4.3.tgz",
-      "integrity": "sha512-bV0Tgo9K4hfPCek+aMAn81RppFKv2ySDQeMoSZuvTASywNTnVJCArCZE2FWqpvIatKu7VMRLWlR1EazvVhDyhQ==",
       "dev": true,
       "license": "Apache-2.0",
       "engines": {
@@ -273,8 +247,6 @@
     },
     "node_modules/@img/colour": {
       "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@img/colour/-/colour-1.0.0.tgz",
-      "integrity": "sha512-A5P/LfWGFSl6nsckYtjw9da+19jB8hkJ6ACTGcDfEJ0aE+l2n2El7dsVM7UVHZQ9s2lmYMWlrS21YLy2IR1LUw==",
       "license": "MIT",
       "optional": true,
       "engines": {
@@ -283,8 +255,6 @@
     },
     "node_modules/@img/sharp-darwin-arm64": {
       "version": "0.34.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-arm64/-/sharp-darwin-arm64-0.34.4.tgz",
-      "integrity": "sha512-sitdlPzDVyvmINUdJle3TNHl+AG9QcwiAMsXmccqsCOMZNIdW2/7S26w0LyU8euiLVzFBL3dXPwVCq/ODnf2vA==",
       "cpu": [
         "arm64"
       ],
@@ -303,32 +273,8 @@
         "@img/sharp-libvips-darwin-arm64": "1.2.3"
       }
     },
-    "node_modules/@img/sharp-darwin-x64": {
-      "version": "0.34.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-x64/-/sharp-darwin-x64-0.34.4.tgz",
-      "integrity": "sha512-rZheupWIoa3+SOdF/IcUe1ah4ZDpKBGWcsPX6MT0lYniH9micvIU7HQkYTfrx5Xi8u+YqwLtxC/3vl8TQN6rMg==",
-      "cpu": [
-        "x64"
-      ],
-      "license": "Apache-2.0",
-      "optional": true,
-      "os": [
-        "darwin"
-      ],
-      "engines": {
-        "node": "^18.17.0 || ^20.3.0 || >=21.0.0"
-      },
-      "funding": {
-        "url": "https://opencollective.com/libvips"
-      },
-      "optionalDependencies": {
-        "@img/sharp-libvips-darwin-x64": "1.2.3"
-      }
-    },
     "node_modules/@img/sharp-libvips-darwin-arm64": {
       "version": "1.2.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-arm64/-/sharp-libvips-darwin-arm64-1.2.3.tgz",
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       "cpu": [
         "arm64"
       ],
@@ -341,368 +287,8 @@
         "url": "https://opencollective.com/libvips"
       }
     },
-    "node_modules/@img/sharp-libvips-darwin-x64": {
-      "version": "1.2.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-x64/-/sharp-libvips-darwin-x64-1.2.3.tgz",
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-      "optional": true,
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-        "darwin"
-      ],
-      "funding": {
-        "url": "https://opencollective.com/libvips"
-      }
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-        "url": "https://opencollective.com/libvips"
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-      "funding": {
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-      "dev": true,
+      "devOptional": true,
       "license": "Apache-2.0",
       "bin": {
         "tsc": "bin/tsc",
@@ -5930,8 +5368,6 @@
     },
     "node_modules/unbox-primitive": {
       "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/unbox-primitive/-/unbox-primitive-1.1.0.tgz",
-      "integrity": "sha512-nWJ91DjeOkej/TA8pXQ3myruKpKEYgqvpw9lz4OPHj/NWFNluYrjbz9j01CJ8yKQd2g4jFoOkINCTW2I5LEEyw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -5949,15 +5385,10 @@
     },
     "node_modules/undici-types": {
       "version": "6.21.0",
-      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz",
-      "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/unrs-resolver": {
       "version": "1.11.1",
-      "resolved": "https://registry.npmjs.org/unrs-resolver/-/unrs-resolver-1.11.1.tgz",
-      "integrity": "sha512-bSjt9pjaEBnNiGgc9rUiHGKv5l4/TGzDmYw3RhnkJGtLhbnnA/5qJj7x3dNDCRx/PJxu774LlH8lCOlB4hEfKg==",
       "dev": true,
       "hasInstallScript": true,
       "license": "MIT",
@@ -5991,18 +5422,41 @@
     },
     "node_modules/uri-js": {
       "version": "4.4.1",
-      "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
-      "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==",
       "dev": true,
       "license": "BSD-2-Clause",
       "dependencies": {
         "punycode": "^2.1.0"
       }
     },
+    "node_modules/use-sync-external-store": {
+      "version": "1.6.0",
+      "license": "MIT",
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
+      }
+    },
+    "node_modules/victory-vendor": {
+      "version": "37.3.6",
+      "license": "MIT AND ISC",
+      "dependencies": {
+        "@types/d3-array": "^3.0.3",
+        "@types/d3-ease": "^3.0.0",
+        "@types/d3-interpolate": "^3.0.1",
+        "@types/d3-scale": "^4.0.2",
+        "@types/d3-shape": "^3.1.0",
+        "@types/d3-time": "^3.0.0",
+        "@types/d3-timer": "^3.0.0",
+        "d3-array": "^3.1.6",
+        "d3-ease": "^3.0.1",
+        "d3-interpolate": "^3.0.1",
+        "d3-scale": "^4.0.2",
+        "d3-shape": "^3.1.0",
+        "d3-time": "^3.0.0",
+        "d3-timer": "^3.0.1"
+      }
+    },
     "node_modules/which": {
       "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
-      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
       "dev": true,
       "license": "ISC",
       "dependencies": {
@@ -6017,8 +5471,6 @@
     },
     "node_modules/which-boxed-primitive": {
       "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.1.1.tgz",
-      "integrity": "sha512-TbX3mj8n0odCBFVlY8AxkqcHASw3L60jIuF8jFP78az3C2YhmGvqbHBpAjTRH2/xqYunrJ9g1jSyjCjpoWzIAA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -6037,8 +5489,6 @@
     },
     "node_modules/which-builtin-type": {
       "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/which-builtin-type/-/which-builtin-type-1.2.1.tgz",
-      "integrity": "sha512-6iBczoX+kDQ7a3+YJBnh3T+KZRxM/iYNPXicqk66/Qfm1b93iu+yOImkg0zHbj5LNOcNv1TEADiZ0xa34B4q6Q==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -6065,8 +5515,6 @@
     },
     "node_modules/which-collection": {
       "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/which-collection/-/which-collection-1.0.2.tgz",
-      "integrity": "sha512-K4jVyjnBdgvc86Y6BkaLZEN933SwYOuBFkdmBu9ZfkcAbdVbpITnDmjvZ/aQjRXQrv5EPkTnD1s39GiiqbngCw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -6084,8 +5532,6 @@
     },
     "node_modules/which-typed-array": {
       "version": "1.1.19",
-      "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.19.tgz",
-      "integrity": "sha512-rEvr90Bck4WZt9HHFC4DJMsjvu7x+r6bImz0/BrbWb7A2djJ8hnZMrWnHo9F8ssv0OMErasDhftrfROTyqSDrw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -6106,18 +5552,42 @@
     },
     "node_modules/word-wrap": {
       "version": "1.2.5",
-      "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
-      "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
       "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=0.10.0"
       }
     },
+    "node_modules/ws": {
+      "version": "8.18.3",
+      "license": "MIT",
+      "engines": {
+        "node": ">=10.0.0"
+      },
+      "peerDependencies": {
+        "bufferutil": "^4.0.1",
+        "utf-8-validate": ">=5.0.2"
+      },
+      "peerDependenciesMeta": {
+        "bufferutil": {
+          "optional": true
+        },
+        "utf-8-validate": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/xtend": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
+      "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.4"
+      }
+    },
     "node_modules/yallist": {
       "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-5.0.0.tgz",
-      "integrity": "sha512-YgvUTfwqyc7UXVMrB+SImsVYSmTS8X/tSrtdNZMImM+n7+QTriRXyXim0mBrTXNeqzVF0KWGgHPeiyViFFrNDw==",
       "dev": true,
       "license": "BlueOak-1.0.0",
       "engines": {
@@ -6126,8 +5596,6 @@
     },
     "node_modules/yocto-queue": {
       "version": "0.1.0",
-      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
-      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
       "dev": true,
       "license": "MIT",
       "engines": {
diff --git a/package.json b/package.json
index fc8856a7..2c5c0497 100644
--- a/package.json
+++ b/package.json
@@ -3,25 +3,34 @@
   "version": "0.1.0",
   "private": true,
   "scripts": {
-    "dev": "next dev",
-    "build": "next build",
+    "dev": "unset OPENAI_API_KEY && next dev",
+    "build": "prisma generate && next build",
     "start": "next start",
-    "lint": "eslint"
+    "lint": "eslint",
+    "postinstall": "prisma generate"
   },
   "dependencies": {
     "@openai/chatkit-react": ">=1.1.1 <2.0.0",
+    "@prisma/client": "^6.19.0",
+    "@vercel/postgres": "^0.10.0",
+    "dotenv": "^17.2.3",
     "next": "^15.5.4",
+    "pg": "^8.16.3",
+    "prisma": "^6.19.0",
     "react": "^19.2.0",
-    "react-dom": "^19.2.0"
+    "react-dom": "^19.2.0",
+    "recharts": "^3.4.1",
+    "tiktoken": "^1.0.22"
   },
   "optionalDependencies": {
-    "lightningcss-linux-x64-gnu": "1.30.1",
-    "@tailwindcss/oxide-linux-x64-gnu": "4.1.11"
+    "@tailwindcss/oxide-linux-x64-gnu": "4.1.11",
+    "lightningcss-linux-x64-gnu": "1.30.1"
   },
   "devDependencies": {
     "@eslint/eslintrc": "^3",
     "@tailwindcss/postcss": "^4",
     "@types/node": "^20",
+    "@types/pg": "^8.15.6",
     "@types/react": "^19",
     "@types/react-dom": "^19",
     "eslint": "^9",
diff --git a/prisma.config.ts b/prisma.config.ts
new file mode 100644
index 00000000..2592d123
--- /dev/null
+++ b/prisma.config.ts
@@ -0,0 +1,13 @@
+import "dotenv/config";
+import { defineConfig, env } from "prisma/config";
+
+export default defineConfig({
+  schema: "prisma/schema.prisma",
+  migrations: {
+    path: "prisma/migrations",
+  },
+  engine: "classic",
+  datasource: {
+    url: env("DATABASE_URL"),
+  },
+});
diff --git a/prisma/schema.prisma b/prisma/schema.prisma
new file mode 100644
index 00000000..9f03cd6d
--- /dev/null
+++ b/prisma/schema.prisma
@@ -0,0 +1,100 @@
+// This is your Prisma schema file,
+// learn more about it in the docs: https://pris.ly/d/prisma-schema
+
+// Looking for ways to speed up your queries, or scale easily with your serverless or edge functions?
+// Try Prisma Accelerate: https://pris.ly/cli/accelerate-init
+
+generator client {
+  provider = "prisma-client-js"
+}
+
+datasource db {
+  provider = "postgresql"
+  url      = env("DATABASE_URL")
+}
+
+model UsageSession {
+  id         String   @id @default(cuid())
+  sessionId  String   @unique
+  userId     String?
+  startTime  DateTime @default(now())
+  endTime    DateTime?
+  createdAt  DateTime @default(now())
+  updatedAt  DateTime @updatedAt
+
+  logs       UsageLog[]
+  threads    UsageThread[]
+
+  @@index([userId])
+  @@index([startTime])
+}
+
+model UsageLog {
+  id            String   @id @default(cuid())
+  sessionId     String
+  session       UsageSession @relation(fields: [sessionId], references: [sessionId])
+
+  threadId      String?
+  model         String
+  tokensInput   Int
+  tokensOutput  Int
+  tokensTotal   Int
+  cost          Float
+
+  timestamp     DateTime @default(now())
+  createdAt     DateTime @default(now())
+
+  @@index([sessionId])
+  @@index([threadId])
+  @@index([timestamp])
+  @@index([model])
+}
+
+model DailyAggregate {
+  id            String   @id @default(cuid())
+  date          DateTime @unique
+
+  totalRequests Int      @default(0)
+  tokensInput   Int      @default(0)
+  tokensOutput  Int      @default(0)
+  tokensTotal   Int      @default(0)
+  totalCost     Float    @default(0)
+
+  modelBreakdown Json?
+
+  createdAt     DateTime @default(now())
+  updatedAt     DateTime @updatedAt
+
+  @@index([date])
+}
+
+model UsageThread {
+  id        String   @id @default(cuid())
+  sessionId String
+  threadKey String?
+  createdAt DateTime @default(now())
+  updatedAt DateTime @updatedAt
+
+  session UsageSession @relation(fields: [sessionId], references: [sessionId])
+  models  UsageThreadModel[]
+
+  @@unique([sessionId, threadKey])
+  @@index([sessionId])
+}
+
+model UsageThreadModel {
+  id            String   @id @default(cuid())
+  usageThreadId String
+  model         String
+  tokensInput   Int      @default(0)
+  tokensOutput  Int      @default(0)
+  tokensTotal   Int      @default(0)
+  cost          Float    @default(0)
+  createdAt     DateTime @default(now())
+  updatedAt     DateTime @updatedAt
+
+  usageThread UsageThread @relation(fields: [usageThreadId], references: [id])
+
+  @@unique([usageThreadId, model])
+  @@index([model])
+}
diff --git a/test-openai-usage.js b/test-openai-usage.js
new file mode 100644
index 00000000..c2d447d3
--- /dev/null
+++ b/test-openai-usage.js
@@ -0,0 +1,134 @@
+#!/usr/bin/env node
+
+// Test script to verify OpenAI API key and fetch usage data
+require('dotenv').config({ path: '.env.local' });
+
+const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
+
+if (!OPENAI_API_KEY) {
+  console.error('❌ OPENAI_API_KEY not found in .env.local');
+  process.exit(1);
+}
+
+console.log('🔑 OpenAI API Key found:', OPENAI_API_KEY.substring(0, 10) + '...');
+console.log('\n📊 Testing OpenAI Usage API...\n');
+
+async function testUsageAPI() {
+  try {
+    // Calculate date range (last 30 days)
+    const endDate = new Date();
+    const startDate = new Date();
+    startDate.setDate(startDate.getDate() - 30);
+
+    const startDateStr = startDate.toISOString().split('T')[0];
+    const endDateStr = endDate.toISOString().split('T')[0];
+
+    console.log(`📅 Fetching usage from ${startDateStr} to ${endDateStr}\n`);
+
+    // Call OpenAI Usage API
+    const url = `https://api.openai.com/v1/usage?date=${startDateStr}&end_date=${endDateStr}`;
+
+    const response = await fetch(url, {
+      method: 'GET',
+      headers: {
+        'Authorization': `Bearer ${OPENAI_API_KEY}`,
+        'Content-Type': 'application/json',
+      },
+    });
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      console.error('❌ API Error:', response.status, response.statusText);
+      console.error('Response:', errorText);
+
+      if (response.status === 401) {
+        console.error('\n⚠️  Authentication failed. The API key may be invalid or expired.');
+      } else if (response.status === 403) {
+        console.error('\n⚠️  Access forbidden. The API key may not have organization-level access.');
+        console.error('💡 Tip: You need an API key with organization access to view usage data.');
+      }
+
+      process.exit(1);
+    }
+
+    const data = await response.json();
+
+    console.log('✅ Successfully connected to OpenAI Usage API!\n');
+    console.log('📈 Usage Data Summary:\n');
+    console.log(`Total records: ${data.data?.length || 0}`);
+
+    if (data.data && data.data.length > 0) {
+      // Group by model
+      const modelStats = {};
+
+      data.data.forEach(record => {
+        const model = record.operation || 'unknown';
+        const inputTokens = record.n_context_tokens_total || 0;
+        const outputTokens = record.n_generated_tokens_total || 0;
+        const requests = record.n_requests || 0;
+
+        if (!modelStats[model]) {
+          modelStats[model] = {
+            requests: 0,
+            inputTokens: 0,
+            outputTokens: 0,
+            totalTokens: 0,
+          };
+        }
+
+        modelStats[model].requests += requests;
+        modelStats[model].inputTokens += inputTokens;
+        modelStats[model].outputTokens += outputTokens;
+        modelStats[model].totalTokens += (inputTokens + outputTokens);
+      });
+
+      console.log('\n📊 Usage by Model:\n');
+      console.log('─'.repeat(80));
+
+      Object.entries(modelStats)
+        .sort((a, b) => b[1].totalTokens - a[1].totalTokens)
+        .forEach(([model, stats]) => {
+          console.log(`\n🤖 Model: ${model}`);
+          console.log(`   Requests: ${stats.requests.toLocaleString()}`);
+          console.log(`   Input Tokens: ${stats.inputTokens.toLocaleString()}`);
+          console.log(`   Output Tokens: ${stats.outputTokens.toLocaleString()}`);
+          console.log(`   Total Tokens: ${stats.totalTokens.toLocaleString()}`);
+        });
+
+      console.log('\n' + '─'.repeat(80));
+
+      // Calculate total
+      const totals = Object.values(modelStats).reduce((acc, stats) => ({
+        requests: acc.requests + stats.requests,
+        inputTokens: acc.inputTokens + stats.inputTokens,
+        outputTokens: acc.outputTokens + stats.outputTokens,
+        totalTokens: acc.totalTokens + stats.totalTokens,
+      }), { requests: 0, inputTokens: 0, outputTokens: 0, totalTokens: 0 });
+
+      console.log('\n💰 Overall Totals:');
+      console.log(`   Total Requests: ${totals.requests.toLocaleString()}`);
+      console.log(`   Total Input Tokens: ${totals.inputTokens.toLocaleString()}`);
+      console.log(`   Total Output Tokens: ${totals.outputTokens.toLocaleString()}`);
+      console.log(`   Total Tokens: ${totals.totalTokens.toLocaleString()}`);
+
+      // Show sample raw record
+      console.log('\n📝 Sample Raw Record:');
+      console.log(JSON.stringify(data.data[0], null, 2));
+
+    } else {
+      console.log('ℹ️  No usage data found for the specified date range.');
+      console.log('💡 This could mean:');
+      console.log('   - No API calls were made during this period');
+      console.log('   - Usage data is delayed (typically 5-10 minutes)');
+      console.log('   - The API key is valid but has no usage yet');
+    }
+
+    console.log('\n✅ Test completed successfully!');
+
+  } catch (error) {
+    console.error('❌ Error testing OpenAI Usage API:', error.message);
+    process.exit(1);
+  }
+}
+
+testUsageAPI();
diff --git a/test-simple-request.js b/test-simple-request.js
new file mode 100644
index 00000000..72bd182f
--- /dev/null
+++ b/test-simple-request.js
@@ -0,0 +1,102 @@
+#!/usr/bin/env node
+
+// Test script to see what data OpenAI returns in a simple API response
+require('dotenv').config({ path: '.env.local' });
+
+const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
+
+if (!OPENAI_API_KEY) {
+  console.error('❌ OPENAI_API_KEY not found in .env.local');
+  process.exit(1);
+}
+
+console.log('🔑 OpenAI API Key found:', OPENAI_API_KEY.substring(0, 10) + '...');
+console.log('\n📨 Sending a simple test request to OpenAI API...\n');
+
+async function testSimpleRequest() {
+  try {
+    const response = await fetch('https://api.openai.com/v1/chat/completions', {
+      method: 'POST',
+      headers: {
+        'Authorization': `Bearer ${OPENAI_API_KEY}`,
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        model: 'gpt-4o-mini',
+        messages: [
+          {
+            role: 'user',
+            content: 'Say "Hello, World!" and nothing else.'
+          }
+        ],
+        max_tokens: 50
+      }),
+    });
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      console.error('❌ API Error:', response.status, response.statusText);
+      console.error('Response:', errorText);
+      process.exit(1);
+    }
+
+    const data = await response.json();
+
+    console.log('✅ Request successful!\n');
+    console.log('📊 FULL API RESPONSE:');
+    console.log('='.repeat(80));
+    console.log(JSON.stringify(data, null, 2));
+    console.log('='.repeat(80));
+
+    // Extract and highlight usage information
+    if (data.usage) {
+      console.log('\n💡 USAGE INFORMATION FOUND:');
+      console.log('─'.repeat(80));
+      console.log(`   Model: ${data.model || 'unknown'}`);
+      console.log(`   Prompt Tokens (Input): ${data.usage.prompt_tokens || 0}`);
+      console.log(`   Completion Tokens (Output): ${data.usage.completion_tokens || 0}`);
+      console.log(`   Total Tokens: ${data.usage.total_tokens || 0}`);
+
+      if (data.usage.prompt_tokens_details) {
+        console.log('\n   📋 Prompt Token Details:');
+        console.log(`      ${JSON.stringify(data.usage.prompt_tokens_details, null, 2)}`);
+      }
+
+      if (data.usage.completion_tokens_details) {
+        console.log('\n   📝 Completion Token Details:');
+        console.log(`      ${JSON.stringify(data.usage.completion_tokens_details, null, 2)}`);
+      }
+      console.log('─'.repeat(80));
+
+      // Calculate cost estimate
+      const inputCost = (data.usage.prompt_tokens / 1_000_000) * 0.150; // gpt-4o-mini
+      const outputCost = (data.usage.completion_tokens / 1_000_000) * 0.600;
+      const totalCost = inputCost + outputCost;
+
+      console.log('\n💰 COST ESTIMATE (GPT-4o-mini):');
+      console.log('─'.repeat(80));
+      console.log(`   Input Cost: $${inputCost.toFixed(6)}`);
+      console.log(`   Output Cost: $${outputCost.toFixed(6)}`);
+      console.log(`   Total Cost: $${totalCost.toFixed(6)}`);
+      console.log('─'.repeat(80));
+    } else {
+      console.log('\n⚠️  NO USAGE INFORMATION in response');
+    }
+
+    // Show the actual response message
+    if (data.choices && data.choices[0] && data.choices[0].message) {
+      console.log('\n💬 ASSISTANT RESPONSE:');
+      console.log('─'.repeat(80));
+      console.log(`   "${data.choices[0].message.content}"`);
+      console.log('─'.repeat(80));
+    }
+
+    console.log('\n✅ Test completed successfully!');
+
+  } catch (error) {
+    console.error('❌ Error testing OpenAI API:', error.message);
+    process.exit(1);
+  }
+}
+
+testSimpleRequest();
diff --git a/test-usage-tracking.js b/test-usage-tracking.js
new file mode 100755
index 00000000..e74776e1
--- /dev/null
+++ b/test-usage-tracking.js
@@ -0,0 +1,135 @@
+#!/usr/bin/env node
+
+/**
+ * Test script to verify token usage tracking is working correctly
+ */
+
+const BASE_URL = 'http://localhost:3000';
+
+async function testUsageTracking() {
+  console.log('🧪 Testing Token Usage Tracking\n');
+  console.log('='.repeat(80));
+
+  // Test 1: Report usage for a test session
+  console.log('\n📊 Test 1: Reporting token usage...');
+  const sessionId = `test-session-${Date.now()}`;
+
+  try {
+    const reportResponse = await fetch(`${BASE_URL}/api/usage/report`, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({
+        sessionId,
+        model: 'gpt-4o-mini',
+        promptTokens: 50,
+        completionTokens: 100,
+        totalTokens: 150,
+      }),
+    });
+
+    const reportData = await reportResponse.json();
+
+    if (reportData.success) {
+      console.log('✅ Usage reported successfully');
+      console.log(`   Session ID: ${reportData.logged.sessionId}`);
+      console.log(`   Total Tokens: ${reportData.logged.tokens}`);
+      console.log(`   Cost: $${reportData.logged.cost.toFixed(6)}`);
+    } else {
+      console.log('❌ Failed to report usage:', reportData.error);
+      return;
+    }
+  } catch (error) {
+    console.error('❌ Error reporting usage:', error.message);
+    return;
+  }
+
+  // Wait a bit for database to update
+  await new Promise(resolve => setTimeout(resolve, 500));
+
+  // Test 2: Fetch stats for the session
+  console.log('\n📈 Test 2: Fetching session stats...');
+
+  try {
+    const statsResponse = await fetch(
+      `${BASE_URL}/api/usage/stats?period=7&sessionId=${sessionId}`
+    );
+    const statsData = await statsResponse.json();
+
+    if (statsData.success && statsData.currentSession) {
+      console.log('✅ Session stats retrieved successfully');
+      console.log(`   Session ID: ${statsData.currentSession.sessionId}`);
+      console.log(`   Request Count: ${statsData.currentSession.requestCount}`);
+      console.log(`   Total Tokens: ${statsData.currentSession.tokensTotal}`);
+      console.log(`   Input Tokens: ${statsData.currentSession.tokensInput}`);
+      console.log(`   Output Tokens: ${statsData.currentSession.tokensOutput}`);
+      console.log(`   Total Cost: $${statsData.currentSession.cost.toFixed(6)}`);
+    } else {
+      console.log('⚠️  No session data found (this may be normal for a fresh session)');
+    }
+  } catch (error) {
+    console.error('❌ Error fetching stats:', error.message);
+    return;
+  }
+
+  // Test 3: Report multiple requests to same session
+  console.log('\n🔄 Test 3: Reporting multiple requests to same session...');
+
+  try {
+    for (let i = 1; i <= 3; i++) {
+      const response = await fetch(`${BASE_URL}/api/usage/report`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          sessionId,
+          model: 'gpt-4o-mini',
+          promptTokens: 30 + i * 10,
+          completionTokens: 80 + i * 20,
+          totalTokens: 110 + i * 30,
+        }),
+      });
+      const data = await response.json();
+      if (data.success) {
+        console.log(`   ✅ Request ${i}: ${data.logged.tokens} tokens, $${data.logged.cost.toFixed(6)}`);
+      }
+    }
+  } catch (error) {
+    console.error('❌ Error in multiple requests:', error.message);
+    return;
+  }
+
+  // Wait for database update
+  await new Promise(resolve => setTimeout(resolve, 500));
+
+  // Test 4: Fetch updated stats
+  console.log('\n📊 Test 4: Fetching updated session stats...');
+
+  try {
+    const statsResponse = await fetch(
+      `${BASE_URL}/api/usage/stats?period=7&sessionId=${sessionId}`
+    );
+    const statsData = await statsResponse.json();
+
+    if (statsData.success && statsData.currentSession) {
+      console.log('✅ Updated session stats:');
+      console.log(`   Request Count: ${statsData.currentSession.requestCount}`);
+      console.log(`   Total Tokens: ${statsData.currentSession.tokensTotal}`);
+      console.log(`   Total Cost: $${statsData.currentSession.cost.toFixed(6)}`);
+    }
+  } catch (error) {
+    console.error('❌ Error fetching updated stats:', error.message);
+  }
+
+  console.log('\n' + '='.repeat(80));
+  console.log('✅ All tests completed successfully!\n');
+  console.log('💡 Next steps:');
+  console.log('   1. Open http://localhost:3000 in your browser');
+  console.log('   2. Click the token usage button (chart icon) on the left');
+  console.log('   3. Have a conversation with the AI');
+  console.log('   4. Watch the token counter update in real-time\n');
+}
+
+// Run the tests
+testUsageTracking().catch(error => {
+  console.error('\n❌ Test failed:', error);
+  process.exit(1);
+});