feat: Jon Snow Phase 2 — FastAPI orchestrator with LiteLLM brain

OpenAI-compatible API at :8900. Intent classifier routes status queries
to FAST_MODEL (Ollama), task submissions to Plane, planning to SMART_MODEL.
Reads agent-os logs for status context. Phase 3: approval gate + execution.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/intent.py

@@ -0,0 +1,78 @@
+AGENT_NAMES = {"hodor", "bran", "varys", "sam", "raven", "qyburn", "citadel", "jon"}
+
+STATUS_PHRASES = {
+    "status", "health", "running", "last run", "what did", "when did",
+    "show me", "how is", "is it", "is running", "did it run", "output",
+    "summary", "report", "check", "monitor", "alive", "up",
+}
+
+TASK_PHRASES = {
+    "create task", "add task", "add issue", "create issue", "log task",
+    "log this", "new task", "new issue", "add to plane", "add to backlog",
+    "plan", "schedule", "remind", "track", "todo", "to do",
+}
+
+RESEARCH_PHRASES = {
+    "research", "search", "find out", "look up", "what is", "explain",
+    "how does", "documentation", "docs",
+}
+
+
+def classify_intent(message: str) -> str:
+    msg = message.lower()
+    words = set(msg.split())
+
+    # Agent name + query word → status
+    if words & AGENT_NAMES:
+        if any(p in msg for p in STATUS_PHRASES) or words & {"status", "check", "output", "run"}:
+            return "status"
+
+    # Explicit task phrases → task
+    if any(p in msg for p in TASK_PHRASES):
+        return "task"
+
+    # Generic status signal words
+    if any(p in msg for p in STATUS_PHRASES) and words & AGENT_NAMES:
+        return "status"
+
+    # Status if asking purely about the agent ecosystem
+    if words & AGENT_NAMES and not any(p in msg for p in {"build", "implement", "create", "make"}):
+        return "status"
+
+    # Research intent → route to smart model
+    if any(p in msg for p in RESEARCH_PHRASES):
+        return "planning"
+
+    return "planning"
+
+
+def extract_agent_name(message: str) -> str | None:
+    msg = message.lower()
+    for name in AGENT_NAMES:
+        if name in msg:
+            return name
+    return None
+
+
+PROJECT_KEYWORDS = {
+    "bni": "BNI Scheduler",
+    "scheduler": "BNI Scheduler",
+    "monitor": "Monitoring",
+    "monitoring": "Monitoring",
+    "grafana": "Monitoring",
+    "maester": "Maester Reports",
+    "report": "Maester Reports",
+    "csf": "Maester Reports",
+    "nist": "Maester Reports",
+    "portal": "Nexum Portal",
+    "authelia": "Nexum Portal",
+    "nexum": "Nexum Portal",
+}
+
+
+def extract_project_name(message: str) -> str | None:
+    msg = message.lower()
+    for kw, project in PROJECT_KEYWORDS.items():
+        if kw in msg:
+            return project
+    return None