Make agents follow configured temperature (#4099)

agenthub/browsing_agent/browsing_agent.py

@@ -218,7 +218,6 @@ class BrowsingAgent(Agent):
 
         response = self.llm.completion(
             messages=self.llm.format_messages_for_llm(messages),
-            temperature=0.0,
             stop=[')```', ')\n```'],
         )
         return self.response_parser.parse(response)

agenthub/codeact_swe_agent/codeact_swe_agent.py

@@ -166,7 +166,6 @@ class CodeActSWEAgent(Agent):
                 '</execute_ipython>',
                 '</execute_bash>',
             ],
-            temperature=0.0,
         )
 
         return self.response_parser.parse(response)

agenthub/micro/agent.py

@@ -78,7 +78,6 @@ class MicroAgent(Agent):
         message = Message(role='user', content=content)
         resp = self.llm.completion(
             messages=self.llm.format_messages_for_llm(message),
-            temperature=0.0,
         )
         action_resp = resp['choices'][0]['message']['content']
         action = parse_response(action_resp)

config.template.toml

@@ -112,7 +112,7 @@ api_key = "your-api-key"
 #embedding_deployment_name = ""
 
 # Embedding model to use
-embedding_model = ""
+embedding_model = "local"
 
 # Maximum number of characters in an observation's content
 #max_message_chars = 10000
@@ -188,7 +188,7 @@ model = "gpt-4o-mini"
 #memory_max_threads = 2
 
 # LLM config group to use
-#llm_config = 'llm'
+#llm_config = 'your-llm-config-group'
 
 [agent.RepoExplorerAgent]
 # Example: use a cheaper model for RepoExplorerAgent to reduce cost, especially
@@ -232,7 +232,7 @@ llm_config = 'gpt3'
 [security]
 
 # Enable confirmation mode
-#confirmation_mode = true
+#confirmation_mode = false
 
 # The security analyzer to use
 #security_analyzer = ""