Migrate all repos into monorepo context folders

Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
      Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
      Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)

Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.

bahn/teamlandkarte-mcp/tests/test_integration_azure_openai.py

@@ -0,0 +1,44 @@
+import os
+
+import pytest
+
+from teamlandkarte_mcp.azure.openai_client import AzureOpenAIClient
+from teamlandkarte_mcp.config import load_config
+
+# Allow these smoke tests to access the real Azure OpenAI endpoint when the
+# required env/config is present.
+pytestmark = [pytest.mark.integration, pytest.mark.allow_network]
+
+
+@pytest.mark.asyncio
+async def test_azure_openai_chat_completion_smoke() -> None:
+    """Smoke test against a real Azure OpenAI resource (chat completion)."""
+
+    cfg = load_config("config.toml")
+    endpoint = (cfg.azure_openai.endpoint or "").strip()
+    llm_key = os.getenv("AZURE_OPENAI_LLM_API_KEY", "").strip()
+
+    if not endpoint:
+        pytest.skip("Azure OpenAI endpoint missing in config.toml")
+    if "YOUR-RESOURCE" in endpoint.upper():
+        pytest.skip("Azure OpenAI endpoint in config.toml is still a placeholder")
+    if not endpoint.startswith("https://"):
+        pytest.skip("Azure OpenAI endpoint must start with https://")
+    if not llm_key:
+        pytest.skip("AZURE_OPENAI_LLM_API_KEY is not set")
+    if not cfg.azure_openai.chat_deployment:
+        pytest.skip("chat_deployment not configured")
+
+    client = AzureOpenAIClient(
+        endpoint=endpoint,
+        api_version=cfg.azure_openai.api_version,
+        chat_deployment=cfg.azure_openai.chat_deployment,
+        llm_api_key=llm_key,
+    )
+
+    result = await client.chat_completion(
+        system="You are a test assistant. Respond with JSON: {\"status\": \"ok\"}",
+        user="ping",
+    )
+    assert isinstance(result, str)
+    assert "ok" in result