minor fixes for langchain agent (#83)

* minor fixes

* set max output len

* truncate logs

* Update agenthub/langchains_agent/utils/agent.py

agenthub/langchains_agent/utils/agent.py

@@ -14,6 +14,8 @@ class Agent:
         self.memory = LongTermMemory()
 
     def add_event(self, event):
+        if 'output' in event.args:
+            event.args['output'] = event.args['output'][:MAX_OUTPUT_LENGTH] + "..."
         self.monologue.add_event(event)
         self.memory.add_event(event)
         if self.monologue.get_total_length() > MAX_MONOLOGUE_LENGTH:
@@ -26,6 +28,9 @@ class Agent:
             self.model_name,
             cmd_mgr.background_commands
         )
+        if action_dict is None:
+            # TODO: this seems to happen if the LLM response isn't valid JSON. Maybe it should be an `error` instead? How should we handle this case?
+            return Event('think', {'thought': '...'})
         event = Event(action_dict['action'], action_dict['args'])
         self.latest_action = event
         return event

opendevin/controller.py

@@ -2,7 +2,7 @@ from opendevin.lib.command_manager import CommandManager
 from opendevin.lib.event import Event
 
 def print_callback(event):
-    print(event, flush=True)
+    print(event.str_truncated(), flush=True)
 
 class AgentController:
     def __init__(self, agent, workdir, max_iterations=100, callbacks=[]):

opendevin/lib/event.py

@@ -2,7 +2,7 @@ import os
 import json
 import opendevin.lib.actions as actions
 
-ACTION_TYPES = ['run', 'kill', 'browse', 'read', 'write', 'recall', 'think', 'output', 'error', 'finish']
+ACTION_TYPES = ['run', 'kill', 'browse', 'read', 'write', 'recall', 'think', 'summarize', 'output', 'error', 'finish']
 RUNNABLE_ACTIONS = ['run', 'kill', 'browse', 'read', 'write', 'recall']
 
 class Event:
@@ -15,6 +15,12 @@ class Event:
     def __str__(self):
         return self.action + " " + str(self.args)
 
+    def str_truncated(self, max_len=1000):
+        s = str(self)
+        if len(s) > max_len:
+            s = s[:max_len] + '...'
+        return s
+
     def to_dict(self):
         return {
             'action': self.action,