baby agi

example.py

@@ -1,35 +1,72 @@
 from swarms.agents.workers.auto_agent import agent
+from swarms.agents.boss.babyagi_agent import baby_agi
 
-agent.chain.verbose = True
+OBJECTIVE = "Write a weather report for SF today"
 
+baby_agi({"objective": OBJECTIVE})
 
 
-tree_of_thoughts_prompt = """
 
-Imagine three different experts are answering this question. All experts will write down each chain of thought of each step of their thinking, then share it with the group. Then all experts will go on to the next step, etc. If any expert realises they're wrong at any point then they leave. The question is...
 
 
-"""
 
 
-#Input problem
-input_problem = """
 
 
-Input: 2 8 8 14
-Possible next steps:
-2 + 8 = 10 (left: 8 10 14)
-8 / 2 = 4 (left: 4 8 14)
-14 + 2 = 16 (left: 8 8 16)
-2 * 8 = 16 (left: 8 14 16)
-8 - 2 = 6 (left: 6 8 14)
-14 - 8 = 6 (left: 2 6 8)
-14 /  2 = 7 (left: 7 8 8)
-14 - 2 = 12 (left: 8 8 12)
-Input: use 4 numbers and basic arithmetic operations (+-*/) to obtain 24 in 1 equation
-Possible next steps:
 
 
-"""
 
-agent.run([f"{tree_of_thoughts_prompt} {input_problem}"])
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+########### just autogpt agent, worker node
+# agent.chain.verbose = True
+
+
+
+# tree_of_thoughts_prompt = """
+
+# Imagine three different experts are answering this question. All experts will write down each chain of thought of each step of their thinking, then share it with the group. Then all experts will go on to the next step, etc. If any expert realises they're wrong at any point then they leave. The question is...
+
+
+# """
+
+
+# #Input problem
+# input_problem = """
+
+
+# Input: 2 8 8 14
+# Possible next steps:
+# 2 + 8 = 10 (left: 8 10 14)
+# 8 / 2 = 4 (left: 4 8 14)
+# 14 + 2 = 16 (left: 8 8 16)
+# 2 * 8 = 16 (left: 8 14 16)
+# 8 - 2 = 6 (left: 6 8 14)
+# 14 - 8 = 6 (left: 2 6 8)
+# 14 /  2 = 7 (left: 7 8 8)
+# 14 - 2 = 12 (left: 8 8 12)
+# Input: use 4 numbers and basic arithmetic operations (+-*/) to obtain 24 in 1 equation
+# Possible next steps:
+
+
+# """
+
+# agent.run([f"{tree_of_thoughts_prompt} {input_problem}"])
+

swarms/agents/boss/babyagi_agent.py

@@ -87,7 +87,6 @@ agent_executor = AgentExecutor.from_agent_and_tools(
     agent=agent, tools=tools, verbose=True
 )
 
-OBJECTIVE = "Write a weather report for SF today"
 
 
 # Logging of LLMChains
@@ -102,5 +101,9 @@ baby_agi = BabyAGI.from_llm(
     max_iterations=max_iterations,
 )
 
+
+
+OBJECTIVE = "Write a weather report for SF today"
+
 baby_agi({"objective": OBJECTIVE})