release: bump version to 0.1.4.7

Proxy-Patch hookt Claude-CLI `assistant`-Events: bei jedem tool_use-
Block (Bash, Read, Edit, Grep, ...) wird per HTTP-POST an die Bridge
gemeldet. Bridge spiegelt das als `agent_activity tool=<name>` an die
RVS-Clients. App- und Diagnostic-Gedanken-Stream zeigen damit live mit
was ARIA gerade macht — vorher kam pro Brain-Call nur EIN „💭 denkt"
am Anfang und EIN „✓ fertig" am Ende.

Drei neue Bausteine:
- proxy-patches/routes.js: kompletter Replacement der npm-Version mit
  `_attachToolHook(subprocess)` — feuert pro tool_use-Block ein HTTP-
  POST an http://aria-bridge:8090/internal/agent-activity (URL via
  ARIA_TOOL_HOOK_URL Env-Variable ueberschreibbar). Fire-and-forget,
  fail-open — Brain-Call bricht NICHT ab wenn Bridge mal nicht da ist.
- docker-compose.yml: vierter cp-Schritt im proxy-Service kopiert
  routes.js ueber die npm-Version (analog zu openai-to-cli + cli-to-
  openai).
- bridge/aria_bridge.py: neuer `/internal/agent-activity`-Endpoint im
  bestehenden _serve_internal_http. Plus _emit_activity hat jetzt
  force=True-Param damit wiederholte gleiche Tool-Aufrufe (3x Bash in
  Folge) als drei Eintraege im Stream sichtbar bleiben.

App + Diagnostic: pushThought-Dedup laesst tool-Events durch (3x Bash
hintereinander gibt 3 Eintraege im Gedanken-Stream).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

android/android/app/build.gradle

@@ -79,8 +79,8 @@ android {
         applicationId "com.ariacockpit"
         minSdkVersion rootProject.ext.minSdkVersion
         targetSdkVersion rootProject.ext.targetSdkVersion
-        versionCode 10406
+        versionCode 10407
-        versionName "0.1.4.6"
+        versionName "0.1.4.7"
         // Fallback fuer Libraries mit Product Flavors
         missingDimensionStrategy 'react-native-camera', 'general'
     }

android/package.json

@@ -1,6 +1,6 @@
 {
   "name": "aria-cockpit",
-  "version": "0.1.4.6",
+  "version": "0.1.4.7",
   "private": true,
   "scripts": {
     "android": "react-native run-android",

android/src/screens/ChatScreen.tsx

@@ -1024,9 +1024,12 @@ const ChatScreen: React.FC = () => {
         const tool = (message.payload.tool as string) || '';
         setAgentActivity({ activity, tool });
         // In den Gedanken-Stream einfuegen. Dedup gegen identische Folge-
-        // Events (z.B. zwei mal 'thinking' direkt hintereinander).
+        // Events (z.B. zwei mal 'thinking' direkt hintereinander). Tool-
+        // Events NIE dedupen — wenn ARIA dreimal Bash hintereinander ruft,
+        // sollen alle drei sichtbar sein.
         const key = `${activity}|${tool}`;
-        if (key !== lastThoughtKeyRef.current) {
+        const isTool = activity === 'tool';
+        if (isTool || key !== lastThoughtKeyRef.current) {
           lastThoughtKeyRef.current = key;
           setThoughts(prev => {
             const next = [...prev, { ts: Date.now(), activity, tool }];

bridge/aria_bridge.py

@@ -2519,17 +2519,22 @@ class ARIABridge:
         status = await asyncio.get_event_loop().run_in_executor(None, _do_request)
         logger.info("[cancel] Diagnostic /api/cancel: %s", status)
 
-    async def _emit_activity(self, activity: str, tool: str = "") -> None:
+    async def _emit_activity(self, activity: str, tool: str = "", force: bool = False) -> None:
         """Sendet agent_activity an die App — nur wenn sich der State geaendert hat.
 
         Trailing Agent-Events nach chat:final werden 3s lang unterdrueckt
-        (nur 'idle' kommt immer durch)."""
+        (nur 'idle' kommt immer durch).
+
+        force=True: kein State-Dedup — wird vom Proxy-Tool-Hook genutzt
+        damit auch wiederholte gleiche Tool-Aufrufe (z.B. 3x Bash
+        hintereinander) im Gedanken-Stream als eigene Eintraege sichtbar
+        bleiben."""
         if activity != "idle" and self._last_chat_final_at > 0:
             since_final = asyncio.get_event_loop().time() - self._last_chat_final_at
             if since_final < 3.0:
                 return
         state = (activity, tool)
-        if state == self._last_activity_state:
+        if not force and state == self._last_activity_state:
             return
         self._last_activity_state = state
         await self._send_to_rvs({
@@ -2677,6 +2682,24 @@ class ARIABridge:
                         self._handle_trigger_fired(reply, trigger_name, ttype, events)
                     )
                     await _send_response(writer, 200, {"ok": True})
+                elif method == "POST" and path == "/internal/agent-activity":
+                    # Vom Proxy gefeuert bei jedem Claude-Code-tool_use-Event
+                    # (Bash, Read, Edit, Grep, ...). Wir spiegeln das als
+                    # RVS agent_activity an App+Diagnostic damit der Gedanken-
+                    # Stream live mitlaufen kann.
+                    try:
+                        data = json.loads(body.decode("utf-8", "ignore"))
+                    except Exception as exc:
+                        await _send_response(writer, 400, {"error": f"bad json: {exc}"})
+                        return
+                    tool = (data.get("tool") or "").strip()
+                    if not tool:
+                        await _send_response(writer, 400, {"error": "tool erforderlich"})
+                        return
+                    # Force-emit (kein Dedup): User soll JEDEN Tool-Call sehen
+                    # selbst wenn derselbe Name zweimal in Folge kommt.
+                    asyncio.create_task(self._emit_activity("tool", tool, force=True))
+                    await _send_response(writer, 200, {"ok": True})
                 elif method == "POST" and path == "/internal/delete-chat-message":
                     try:
                         data = json.loads(body.decode("utf-8", "ignore"))

diagnostic/index.html

@@ -2252,9 +2252,11 @@
     }
 
     function pushThought(activity, tool) {
-      // Dedup gegen direkt aufeinanderfolgende identische Events
+      // Dedup gegen direkt aufeinanderfolgende identische Events. Tool-
+      // Events NIE dedupen — drei Bash-Calls in Folge sollen drei Eintraege
+      // ergeben, nicht einen.
       const key = `${activity}|${tool || ''}`;
-      if (key === lastThoughtKey) return;
+      if (activity !== 'tool' && key === lastThoughtKey) return;
       lastThoughtKey = key;
       thoughtStream.push({ ts: Date.now(), activity, tool: tool || '' });
       if (thoughtStream.length > MAX_THOUGHTS) thoughtStream = thoughtStream.slice(-MAX_THOUGHTS);

docker-compose.yml

@@ -15,6 +15,7 @@ services:
       sed -i 's/const DEFAULT_TIMEOUT = 300000;/const DEFAULT_TIMEOUT = 1200000;/' $$DIST/subprocess/manager.js &&
       cp /proxy-patches/openai-to-cli.js $$DIST/adapter/openai-to-cli.js &&
       cp /proxy-patches/cli-to-openai.js $$DIST/adapter/cli-to-openai.js &&
+      cp /proxy-patches/routes.js $$DIST/server/routes.js &&
       claude-max-api"
     volumes:
       - ~/.claude:/root/.claude                      # Claude CLI Auth (Credentials in /root/.claude/.credentials.json)

proxy-patches/routes.js

@@ -0,0 +1,309 @@
+/**
+ * ARIA-patched API Route Handlers
+ *
+ * Erweiterung der npm-Version von claude-max-api-proxy:
+ *  - Bei jedem Claude-CLI-`assistant`-Event mit tool_use-Block (Bash, Read,
+ *    Edit, Grep, …) wird ein HTTP-POST an die Bridge gefeuert
+ *    (ARIA_TOOL_HOOK_URL, default http://aria-bridge:8090/internal/agent-activity).
+ *    Bridge spiegelt das als RVS `agent_activity` an App+Diagnostic →
+ *    Gedanken-Stream zeigt live was ARIA gerade tool-maessig macht.
+ *  - Fire-and-forget, fail-open. Wenn die Bridge nicht antwortet, bricht
+ *    der Brain-Call NICHT ab.
+ *
+ * Wird zur Container-Startzeit ueber die npm-Version geschrieben
+ * (siehe docker-compose.yml proxy-Block).
+ */
+import { v4 as uuidv4 } from "uuid";
+import http from "http";
+import { ClaudeSubprocess } from "../subprocess/manager.js";
+import { openaiToCli } from "../adapter/openai-to-cli.js";
+import { cliResultToOpenai, createDoneChunk, } from "../adapter/cli-to-openai.js";
+
+const TOOL_HOOK_URL = process.env.ARIA_TOOL_HOOK_URL
+    || "http://aria-bridge:8090/internal/agent-activity";
+
+/**
+ * Pusht einen Tool-Use-Event an die Bridge. Fire-and-forget — keine Awaits,
+ * keine Fehler nach oben. Logged Fehler still.
+ */
+function _emitToolEvent(toolName) {
+    if (!toolName) return;
+    try {
+        const u = new URL(TOOL_HOOK_URL);
+        const body = JSON.stringify({ tool: String(toolName) });
+        const req = http.request({
+            method: "POST",
+            hostname: u.hostname,
+            port: u.port || 80,
+            path: u.pathname,
+            headers: { "Content-Type": "application/json", "Content-Length": Buffer.byteLength(body) },
+            timeout: 2000,
+        }, (res) => { res.resume(); });
+        req.on("error", () => {});
+        req.on("timeout", () => req.destroy());
+        req.write(body);
+        req.end();
+    } catch (_) { /* niemals weiterwerfen */ }
+}
+
+/**
+ * Hookt die `assistant`-Events des Subprozesses. Jedes assistant-Message
+ * kann mehrere content-Bloecke haben — tool_use-Bloecke pushen wir live.
+ */
+function _attachToolHook(subprocess) {
+    subprocess.on("assistant", (message) => {
+        try {
+            const blocks = message?.message?.content || [];
+            for (const b of blocks) {
+                if (b && b.type === "tool_use" && b.name) {
+                    _emitToolEvent(b.name);
+                }
+            }
+        } catch (_) { /* fail-open */ }
+    });
+}
+/**
+ * Handle POST /v1/chat/completions
+ *
+ * Main endpoint for chat requests, supports both streaming and non-streaming
+ */
+export async function handleChatCompletions(req, res) {
+    const requestId = uuidv4().replace(/-/g, "").slice(0, 24);
+    const body = req.body;
+    const stream = body.stream === true;
+    try {
+        // Validate request
+        if (!body.messages || !Array.isArray(body.messages) || body.messages.length === 0) {
+            res.status(400).json({
+                error: {
+                    message: "messages is required and must be a non-empty array",
+                    type: "invalid_request_error",
+                    code: "invalid_messages",
+                },
+            });
+            return;
+        }
+        // Convert to CLI input format
+        const cliInput = openaiToCli(body);
+        const subprocess = new ClaudeSubprocess();
+        // ARIA-Patch: Tool-Use-Events live an die Bridge weiterleiten.
+        // Greift fuer beide Branches (stream + non-stream).
+        _attachToolHook(subprocess);
+        if (stream) {
+            await handleStreamingResponse(req, res, subprocess, cliInput, requestId);
+        }
+        else {
+            await handleNonStreamingResponse(res, subprocess, cliInput, requestId);
+        }
+    }
+    catch (error) {
+        const message = error instanceof Error ? error.message : "Unknown error";
+        console.error("[handleChatCompletions] Error:", message);
+        if (!res.headersSent) {
+            res.status(500).json({
+                error: {
+                    message,
+                    type: "server_error",
+                    code: null,
+                },
+            });
+        }
+    }
+}
+/**
+ * Handle streaming response (SSE)
+ *
+ * IMPORTANT: The Express req.on("close") event fires when the request body
+ * is fully received, NOT when the client disconnects. For SSE connections,
+ * we use res.on("close") to detect actual client disconnection.
+ */
+async function handleStreamingResponse(req, res, subprocess, cliInput, requestId) {
+    // Set SSE headers
+    res.setHeader("Content-Type", "text/event-stream");
+    res.setHeader("Cache-Control", "no-cache");
+    res.setHeader("Connection", "keep-alive");
+    res.setHeader("X-Request-Id", requestId);
+    // CRITICAL: Flush headers immediately to establish SSE connection
+    // Without this, headers are buffered and client times out waiting
+    res.flushHeaders();
+    // Send initial comment to confirm connection is alive
+    res.write(":ok\n\n");
+    return new Promise((resolve, reject) => {
+        let isFirst = true;
+        let lastModel = "claude-sonnet-4";
+        let isComplete = false;
+        // Handle actual client disconnect (response stream closed)
+        res.on("close", () => {
+            if (!isComplete) {
+                // Client disconnected before response completed - kill subprocess
+                subprocess.kill();
+            }
+            resolve();
+        });
+        // Handle streaming content deltas
+        subprocess.on("content_delta", (event) => {
+            const text = event.event.delta?.text || "";
+            if (text && !res.writableEnded) {
+                const chunk = {
+                    id: `chatcmpl-${requestId}`,
+                    object: "chat.completion.chunk",
+                    created: Math.floor(Date.now() / 1000),
+                    model: lastModel,
+                    choices: [{
+                            index: 0,
+                            delta: {
+                                role: isFirst ? "assistant" : undefined,
+                                content: text,
+                            },
+                            finish_reason: null,
+                        }],
+                };
+                res.write(`data: ${JSON.stringify(chunk)}\n\n`);
+                isFirst = false;
+            }
+        });
+        // Handle final assistant message (for model name)
+        subprocess.on("assistant", (message) => {
+            lastModel = message.message.model;
+        });
+        subprocess.on("result", (_result) => {
+            isComplete = true;
+            if (!res.writableEnded) {
+                // Send final done chunk with finish_reason
+                const doneChunk = createDoneChunk(requestId, lastModel);
+                res.write(`data: ${JSON.stringify(doneChunk)}\n\n`);
+                res.write("data: [DONE]\n\n");
+                res.end();
+            }
+            resolve();
+        });
+        subprocess.on("error", (error) => {
+            console.error("[Streaming] Error:", error.message);
+            if (!res.writableEnded) {
+                res.write(`data: ${JSON.stringify({
+                    error: { message: error.message, type: "server_error", code: null },
+                })}\n\n`);
+                res.end();
+            }
+            resolve();
+        });
+        subprocess.on("close", (code) => {
+            // Subprocess exited - ensure response is closed
+            if (!res.writableEnded) {
+                if (code !== 0 && !isComplete) {
+                    // Abnormal exit without result - send error
+                    res.write(`data: ${JSON.stringify({
+                        error: { message: `Process exited with code ${code}`, type: "server_error", code: null },
+                    })}\n\n`);
+                }
+                res.write("data: [DONE]\n\n");
+                res.end();
+            }
+            resolve();
+        });
+        // Start the subprocess
+        subprocess.start(cliInput.prompt, {
+            model: cliInput.model,
+            sessionId: cliInput.sessionId,
+        }).catch((err) => {
+            console.error("[Streaming] Subprocess start error:", err);
+            reject(err);
+        });
+    });
+}
+/**
+ * Handle non-streaming response
+ */
+async function handleNonStreamingResponse(res, subprocess, cliInput, requestId) {
+    return new Promise((resolve) => {
+        let finalResult = null;
+        subprocess.on("result", (result) => {
+            finalResult = result;
+        });
+        subprocess.on("error", (error) => {
+            console.error("[NonStreaming] Error:", error.message);
+            res.status(500).json({
+                error: {
+                    message: error.message,
+                    type: "server_error",
+                    code: null,
+                },
+            });
+            resolve();
+        });
+        subprocess.on("close", (code) => {
+            if (finalResult) {
+                res.json(cliResultToOpenai(finalResult, requestId));
+            }
+            else if (!res.headersSent) {
+                res.status(500).json({
+                    error: {
+                        message: `Claude CLI exited with code ${code} without response`,
+                        type: "server_error",
+                        code: null,
+                    },
+                });
+            }
+            resolve();
+        });
+        // Start the subprocess
+        subprocess
+            .start(cliInput.prompt, {
+            model: cliInput.model,
+            sessionId: cliInput.sessionId,
+        })
+            .catch((error) => {
+            res.status(500).json({
+                error: {
+                    message: error.message,
+                    type: "server_error",
+                    code: null,
+                },
+            });
+            resolve();
+        });
+    });
+}
+/**
+ * Handle GET /v1/models
+ *
+ * Returns available models
+ */
+export function handleModels(_req, res) {
+    res.json({
+        object: "list",
+        data: [
+            {
+                id: "claude-opus-4",
+                object: "model",
+                owned_by: "anthropic",
+                created: Math.floor(Date.now() / 1000),
+            },
+            {
+                id: "claude-sonnet-4",
+                object: "model",
+                owned_by: "anthropic",
+                created: Math.floor(Date.now() / 1000),
+            },
+            {
+                id: "claude-haiku-4",
+                object: "model",
+                owned_by: "anthropic",
+                created: Math.floor(Date.now() / 1000),
+            },
+        ],
+    });
+}
+/**
+ * Handle GET /health
+ *
+ * Health check endpoint
+ */
+export function handleHealth(_req, res) {
+    res.json({
+        status: "ok",
+        provider: "claude-code-cli",
+        timestamp: new Date().toISOString(),
+    });
+}
+//# sourceMappingURL=routes.js.map