updated examples to include before and after autogen 0.2.3 upgrade

README.md

@@ -2,9 +2,9 @@
 ### This repo will be helpful in understanding AutoGen providing examples including prompts and agents for SAAS products, how AutoGen works, and diving into the functionality.
 
 ## Current Library Versions:
-- memgpt: 0.2.6
-- autogen: 0.2.2
-- lm studio: 0.2.10
+<a href="https://github.com/microsoft/autogen/tree/main"><img src="https://img.shields.io/badge/AutoGen-0.2.3-red"/></a>
+<a href="https://lmstudio.ai/"><img src="https://img.shields.io/badge/LMStudio-0.2.10-purple"/></a>
+<a href="https://github.com/cpacker/MemGPT"><img src="https://img.shields.io/badge/MemGPT-0.2.11-blue"/></a>
 
 ## FFMPEG: must be installed to use Whisper AI
 - MACOS: https://superuser.com/questions/624561/install-ffmpeg-on-os-x
@@ -19,7 +19,7 @@
 1. **autogen_memgpt** - understanding integration of MemGPT into AutoGen as an AI Agent
 2. **autogen_memgpt_lmstudio** - using a local llm to integrate MemGPT into AutoGen with a local server produced by LMStudio
 3. **autogentest** - examples of basic usage of AutoGen
-4. **autogen_functions** - learn how to use functions with AutoGen
+4. **autogen_functions** - updated with a previous example and new example of function calling
 5. **autogen_multiple_configs** - learn how to use multiple configurations in order to use multiple models with AutoGen
 6. **autogen_transcribe_video** - learn how to use AutoGen and GPT to transcribe and translate a video with functions
 7. **ai_agency_01_workout_plan** - create your first agency with functions and saving the output to a .txt and .csv file
@@ -38,5 +38,5 @@
 - [ ] Create a Sudoku Puzzle Creator/Checker with an AI WorkForce
 - [x] Create WebScraper with Puppeteer
 - [x] Create AutoGen with Whisper
-- [ ] Fitness Tracker with multiple models and LMStudio for LocalLLM
+- [x] Fitness Tracker with multiple models and LMStudio for LocalLLM
 - [x] Fitness Expert Bot with Flask Server

autogen_functions/.env

@@ -0,0 +1,2 @@
+OPENAI_API_KEY=sk-1111
+model=gpt-4

autogen_functions/autogen_function_example.py

@@ -1,5 +1,6 @@
+from typing import Literal
+
 import autogen
-from IPython import get_ipython
 
 config_list = autogen.config_list_from_json(
     env_or_file="OAI_CONFIG_LIST",
@@ -8,87 +9,81 @@
     },
 )
 
-print(config_list)
-
 llm_config = {
     "functions": [
         {
-            "name": "python",
-            "description": "run cell in ipython and return the execution result.",
+            "name": "currency_calculator",
+            "description": "Currency exchange calculator.",
             "parameters": {
                 "type": "object",
                 "properties": {
-                    "cell": {
+                    "base_amount": {
                         "type": "string",
-                        "description": "Valid Python cell to execute.",
-                    }
-                },
-                "required": ["cell"],
-            },
-        },
-        {
-            "name": "sh",
-            "description": "run a shell script and return the execution result.",
-            "parameters": {
-                "type": "object",
-                "properties": {
-                    "script": {
+                        "description": "the base amount",
+                    },
+                    "base_currency": {
                         "type": "string",
-                        "description": "Valid shell script to execute.",
-                    }
+                        "description": "the base currency",
+                    },
+                    "quote_currency": {
+                        "type": "string",
+                        "description": "the quote currency",
+                    },
                 },
-                "required": ["script"],
+                "required": ["base_amount", "base_currency", "quote_currency"],
             },
         },
     ],
     "config_list": config_list,
     "timeout": 120,
-    "seed": 48
 }
-chatbot = autogen.AssistantAgent(
-    name="chatbot",
-    system_message="For coding tasks, only use the functions you have been provided with. Reply TERMINATE when the task is done.",
+
+
+def exchange_rate(base_currency, quote_currency) -> float:
+    if base_currency == quote_currency:
+        return 1.0
+    elif base_currency == "USD" and quote_currency == "EUR":
+        return 1 / 1.09
+    elif base_currency == "EUR" and quote_currency == "USD":
+        return 1.1
+    else:
+        raise ValueError(f"Unknown currencies {base_currency}, {quote_currency}")
+
+
+def currency_calculator(
+        base_amount=0.0,
+        base_currency="USD",
+        quote_currency="EUR",
+) -> str:
+    quote_amount = exchange_rate(base_currency, quote_currency) * float(base_amount)
+    return f"{quote_amount} {quote_currency}"
+
+
+currency_bot = autogen.AssistantAgent(
+    name="currency_bot",
+    system_message="For currency exchange tasks, only use the functions you have been provided with. Reply TERMINATE "
+                   "when the task is done.",
     llm_config=llm_config,
 )
 
-# create a UserProxyAgent instance named "user_proxy"
 user_proxy = autogen.UserProxyAgent(
     name="user_proxy",
     is_termination_msg=lambda x: x.get("content", "") and x.get("content", "").rstrip().endswith("TERMINATE"),
     human_input_mode="NEVER",
     max_consecutive_auto_reply=10,
-    code_execution_config={"work_dir": "coding"},
 )
 
-# define functions according to the function description
-from IPython import get_ipython
-
-
-def exec_python(cell):
-    ipython = get_ipython()
-    result = ipython.run_cell(cell)
-    log = str(result.result)
-    if result.error_before_exec is not None:
-        log += f"\n{result.error_before_exec}"
-    if result.error_in_exec is not None:
-        log += f"\n{result.error_in_exec}"
-    return log
-
-
-def exec_sh(script):
-    return user_proxy.execute_code_blocks([("sh", script)])
-
+CurrencySymbol = Literal["USD", "EUR"]
 
 # register the functions
 user_proxy.register_function(
     function_map={
-        "python": exec_python,
-        "sh": exec_sh,
+        "currency_calculator": currency_calculator
     }
 )
 
 # start the conversation
 user_proxy.initiate_chat(
-    chatbot,
-    message="Draw two agents chatting with each other with an example dialog. Don't add plt.show().",
+    currency_bot,
+    message="How much is 123.45 USD in EUR?",
 )

autogen_functions/autogen_function_example_decorators.py

@@ -0,0 +1,65 @@
+import autogen
+import dotenv
+import os
+
+from typing import Literal
+from typing_extensions import Annotated
+
+dotenv.load_dotenv()
+
+config_list = [
+    {
+        "model": os.getenv("model"),
+        "api_key": os.getenv("OPENAI_API_KEY"),
+    }
+]
+
+llm_config = {
+    "config_list": config_list,
+    "timeout": 120,
+}
+
+currency_bot = autogen.AssistantAgent(
+    name="currency_bot",
+    system_message="For currency exchange tasks, only use the functions you have been provided with. Reply TERMINATE "
+                   "when the task is done.",
+    llm_config=llm_config,
+)
+
+user_proxy = autogen.UserProxyAgent(
+    name="user_proxy",
+    is_termination_msg=lambda x: x.get("content", "") and x.get("content", "").rstrip().endswith("TERMINATE"),
+    human_input_mode="NEVER",
+    max_consecutive_auto_reply=10,
+)
+
+CurrencySymbol = Literal["USD", "EUR"]
+
+
+def exchange_rate(base_currency: CurrencySymbol, quote_currency: CurrencySymbol) -> float:
+    if base_currency == quote_currency:
+        return 1.0
+    elif base_currency == "USD" and quote_currency == "EUR":
+        return 1 / 1.09
+    elif base_currency == "EUR" and quote_currency == "USD":
+        return 1.1
+    else:
+        raise ValueError(f"Unknown currencies {base_currency}, {quote_currency}")
+
+
+@user_proxy.register_for_execution()
+@currency_bot.register_for_llm(description="Currency exchange calculator.")
+def currency_calculator(
+        base_amount: Annotated[float, "Amount of currency in base_currency"],
+        base_currency: Annotated[CurrencySymbol, "Base currency"] = "USD",
+        quote_currency: Annotated[CurrencySymbol, "Quote currency"] = "EUR",
+) -> str:
+    quote_amount = exchange_rate(base_currency, quote_currency) * base_amount
+    return f"{quote_amount} {quote_currency}"
+
+
+# start the conversation
+user_proxy.initiate_chat(
+    currency_bot,
+    message="How much is 123.45 USD in EUR?",
+)

autogen_functions/autogen_function_planner.py

@@ -1,11 +1,20 @@
 import autogen
 
-config_list = autogen.config_list_from_json(
-    env_or_file="OAI_CONFIG_LIST",
-    filter_dict={
-        "model": ["gpt-4"]
-    },
-)
+# config_list = autogen.config_list_from_json(
+#     env_or_file="OAI_CONFIG_LIST",
+#     filter_dict={
+#         "model": ["gpt-4"]
+#     },
+# )
+
+config_list = {
+    "model": "NULL",  # not needed
+    # NOTE: on versions of pyautogen < 0.2.0 use "api_base", and also uncomment "api_type"
+    # "api_base": "http://localhost:1234/v1",
+    # "api_type": "open_ai",
+    "base_url": "http://localhost:1234/v1",  # ex. "http://127.0.0.1:5001/v1" if you are using webui, "http://localhost:1234/v1/" if you are using LM Studio
+    "api_key": "NULL",  #  not needed
+}
 
 # print(config_list)