feat: initial commit of astra local voice agent

Lokaler deutscher Sprachagent für Apple Silicon: Pipecat-Pipeline mit
Nemotron-ASR (MLX), Qwen über natives Ollama /api/chat, und Pocket TTS.
Loopback-only WebRTC-Server mit Origin/Host-Härtung.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LVgSHNHdRx3UNTBodFmhRA

tests/test_ollama.py

@@ -0,0 +1,48 @@
+import json
+from unittest.mock import patch
+
+import httpx
+import pytest
+from pipecat.processors.aggregators.llm_context import LLMContext
+
+from astra.core import Settings
+from astra.services import NativeOllamaService
+
+
+@pytest.mark.asyncio
+async def test_native_stream_sends_think_false_and_returns_content():
+    requests = []
+
+    def handler(request):
+        requests.append(json.loads(request.content))
+        return httpx.Response(200, text='{"message":{"content":"Hallo"}}\n{"done":true}\n')
+
+    client = httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    service = NativeOllamaService(Settings(), lambda message: None)
+    with patch("astra.services.httpx.AsyncClient", return_value=client):
+        stream = await service.get_chat_completions(LLMContext([{"role": "user", "content": "Hi"}]))
+        chunks = [chunk async for chunk in stream]
+    assert requests[0]["think"] is False
+    assert chunks[0].choices[0].delta.content == "Hallo"
+    await service._client.close()
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "body",
+    [
+        '{"message":{"thinking":"secret reasoning"}}\n',
+        '{"error":"out of memory"}\n',
+        '{"message":{"content":"incomplete"}}\n',
+    ],
+)
+async def test_bad_ollama_streams_fail_explicitly(body):
+    client = httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda request: httpx.Response(200, text=body))
+    )
+    service = NativeOllamaService(Settings(), lambda message: None)
+    with patch("astra.services.httpx.AsyncClient", return_value=client):
+        stream = await service.get_chat_completions(LLMContext([{"role": "user", "content": "Hi"}]))
+        with pytest.raises(RuntimeError):
+            _ = [chunk async for chunk in stream]
+    await service._client.close()