fix: unstuck agent after tool calls, display completed streams

backend/src/agent.py

@@ -66,6 +66,7 @@ class Agent:
         agent_run.close()
         raise NotImplementedError("Subclasses must implement run()")
 
+    # Deprecate this. This is just run with extra baggage.
     async def prompt(self, instruction, input=None, **kwargs):
         run = AgentRun.create(
             self.app,

backend/src/agents/expert.py

@@ -40,6 +40,9 @@ async def chat_completion_loop(app, run, messages, model_id=None, tools=None):
 
             run.emit_event('inference', msg)
 
+        # Broken generator with no output
+        else: break
+
         for tc in tool_calls:
             tool = next((t for t in tools if t.name == tc.tool_name), None)
             if tool is None:
@@ -50,8 +53,9 @@ async def chat_completion_loop(app, run, messages, model_id=None, tools=None):
             else:
                 tc.tool = tool
 
-        # By default, end if there's no calls
-        else: break
+        # If not calling must output something useful
+        else:
+            if turn_response: break
 
     run.close()
 

backend/src/tool.py

@@ -149,7 +149,7 @@ class Tool:
     
     @classmethod
     def tool_name(cls):
-        return ''.join(['_'+c.lower() if c.isupper() else c for c in cls.__name__]).lstrip('_')
+        return ''.join(['-'+c.lower() if c.isupper() else c for c in cls.__name__]).lstrip('_')
 
 
     def _generate_spec(self):

backend/src/utils.py

@@ -20,7 +20,10 @@ def encode_value(value):
             json['result'] = encode_value(value.result),
         return json
     elif isinstance(value, Stream):
+        if value.open:
             return {'streamId': value.id}
+        else:
+            return value.content
     else:
         return value