[GPT4o Mini Finance Agent Demo 🔥] ]

multi_agent_collab_demo.py

@@ -33,8 +33,9 @@
     retry_attempts=3,
     # context_length=1000,
     # tool_schema = dict
-    context_length=200000,
+    context_length=160000,
     # agent_ops_on=True,
+    interactive=True,
     # long_term_memory=ChromaDB(docs_folder="artifacts"),
 )
 

playground/agents/gpt4o_mini_demo/financial_agent_gpt4o_mini.py

@@ -0,0 +1,49 @@
+import os
+
+from swarms import Agent, OpenAIChat
+from swarms.prompts.finance_agent_sys_prompt import (
+    FINANCIAL_AGENT_SYS_PROMPT,
+)
+
+# Get the OpenAI API key from the environment variable
+api_key = os.getenv("OPENAI_API_KEY")
+
+# Create an instance of the OpenAIChat class
+model = OpenAIChat(api_key=api_key, model_name="gpt-4o-mini")
+
+
+# Initialize the agent
+agent = Agent(
+    agent_name="Financial-Analysis-Agent",
+    system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
+    llm=model,
+    max_loops="auto",
+    autosave=True,
+    # dynamic_temperature_enabled=True,
+    dashboard=False,
+    verbose=True,
+    streaming_on=True,
+    # interactive=True, # Set to False to disable interactive mode
+    dynamic_temperature_enabled=True,
+    saved_state_path="finance_agent.json",
+    # tools=[Add your functions here# ],
+    # stopping_token="Stop!",
+    # interactive=True,
+    # docs_folder="docs", # Enter your folder name
+    # pdf_path="docs/finance_agent.pdf",
+    # sop="Calculate the profit for a company.",
+    # sop_list=["Calculate the profit for a company."],
+    user_name="swarms_corp",
+    # # docs=
+    # # docs_folder="docs",
+    retry_attempts=3,
+    # context_length=1000,
+    # tool_schema = dict
+    context_length=200000,
+    interactive=True,
+    # agent_ops_on=True,
+    # long_term_memory=ChromaDB(docs_folder="artifacts"),
+)
+
+
+agent.run("What are the best states to register a C CORP in?")

playground/models/gpt_4o_mini.py

@@ -0,0 +1,16 @@
+from swarms import OpenAIChat
+import os
+
+# Get the OpenAI API key from the environment variable
+api_key = os.getenv("OPENAI_API_KEY")
+
+# Create an instance of the OpenAIChat class
+model = OpenAIChat(api_key=api_key, model_name="gpt-4o-mini")
+
+# Query the model with a question
+out = model(
+    "What is the best state to register a business in the US for the least amount of taxes?"
+)
+
+# Print the model's response
+print(out)

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "5.3.9"
+version = "5.4.0"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <[email protected]>"]