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Migrate from pyautogen to ag2 Library #2

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6 changes: 3 additions & 3 deletions autogen/autogen-gemini/instruction.md
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Expand Up @@ -12,10 +12,10 @@ Google Gemini API=>https://cloud.google.com/vertex-ai/docs/generative-ai/multimo
2. Run your code local machine:

```
python3.11 -m venv pyautogen
source pyautogen/bin/activate
python3.11 -m venv ag2
source ag2/bin/activate
# deactivate
pip install pyautogen google-generativeai
pip install ag2 google-generativeai
pip install -q google-generativeai

python autogen/autogen-gemini/autogen_gemini.py
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20 changes: 10 additions & 10 deletions autogen/autogen_assistant/autogen_assistant.py
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Expand Up @@ -14,7 +14,7 @@
#base_url = "http://localhost:1234/v1" # You can specify API base URLs if needed. eg: localhost:8000
#http://10.9.150.174:1234/v1/models
base_url = "http://192.168.40.229:1234/v1" #Sidan's Server Mistral-7B-Instruct-v0.1-GGUF/mistral-7b-instruct-v0.1.Q8_0.gguf
#base_url = "http://airedale-native-chicken.ngrok-free.app/v1" # Seems like OpenLLM server only support SKD is openai==0.28 pyautogen==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
#base_url = "http://airedale-native-chicken.ngrok-free.app/v1" # Seems like OpenLLM server only support SKD is openai==0.28 ag2==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
api_type = "openai" # Type of API, e.g., "openai" or "aoai".
api_version = None # Specify API version if needed.
#api_model= "palm/chat-biso"
Expand Down Expand Up @@ -111,15 +111,15 @@ def run_openai_completion():



#=============autogen run_autogen_with_twoagent_pyautogen_latest_version=============
#refer:https://pypi.org/project/pyautogen/0.1.14/
#=============autogen run_autogen_with_twoagent_ag2_latest_version=============
#refer:https://pypi.org/project/ag2/0.1.14/
'''
This code required the dependency follow these(also pay attention with api_base and api_key and api_model) :
pip install openai==0.28 pyautogen==0.1.14
pip install openai==0.28 ag2==0.1.14
'''
def run_autogen_with_twoagent_pyautogen_latest_version():
def run_autogen_with_twoagent_ag2_latest_version():
try:
#Base on openai==0.28 pyautogen==0.1.14 ,If you want to use your own LLM,you must be override your openai.api_base and openai.api_key for autogen, otherwise won't be work.
#Base on openai==0.28 ag2==0.1.14 ,If you want to use your own LLM,you must be override your openai.api_base and openai.api_key for autogen, otherwise won't be work.
openai.api_key = api_key # supply your API key however you choose
openai.api_base= base_url # supply your api base URL If you have your own LLM
assistant = AssistantAgent("assistant", llm_config={"api_key":api_key,"base_url": base_url,"api_model":api_model})
Expand All @@ -128,7 +128,7 @@ def run_autogen_with_twoagent_pyautogen_latest_version():
user_proxy.initiate_chat(assistant, message="Plot a chart of NVDA and TESLA stock price change YTD.")
# This triggers automated chat to solve the task
except Exception as e:
print(f"""run_autogen_with_twoagent_pyautogen_latest_version failed with Exception{e}. \n""")
print(f"""run_autogen_with_twoagent_ag2_latest_version failed with Exception{e}. \n""")
# ##====================================================


Expand All @@ -155,7 +155,7 @@ def run_autogen_with_twoagent_pyautogen_latest_version():
# and OAI_CONFIG_LIST_sample
'''
This code required the dependency follow these(also pay attention with config_list.api_base and config_list.api_key and config_list.api_model) :
pip install openai==0.28 pyautogen==0.1.14
pip install openai==0.28 ag2==0.1.14
'''
def run_autogen_with_twoagent():
config_list = [
Expand Down Expand Up @@ -185,7 +185,7 @@ def run_autogen_with_twoagent():
#========================run_autogen_with_Assistant_and_userProxy============================
'''
This code required the dependency follow these(also pay attention with config_list.api_base and config_list.api_key and config_list.api_model) :
pip install openai==0.28 pyautogen==0.1.14
pip install openai==0.28 ag2==0.1.14
'''
def run_autogen_with_Assistant_and_userProxy():
try:
Expand Down Expand Up @@ -227,4 +227,4 @@ def run_autogen_with_Assistant_and_userProxy():
#run_autogen_with_Assistant_and_userProxy()
#run_autogen_with_twoagent()
#run_openai_completion()
run_autogen_with_twoagent_pyautogen_latest_version()
run_autogen_with_twoagent_ag2_latest_version()
10 changes: 5 additions & 5 deletions autogen/autogen_assistant/readme.md
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Expand Up @@ -8,14 +8,14 @@

2. Run your code local machine:
```
python3.12 -m venv pyautogen
source pyautogen/bin/activate
python3.12 -m venv ag2
source ag2/bin/activate
# deactivate
# old version with between Aug 2023 and Oct 2023
pip install openai==0.28 pyautogen==0.1.14
pip install openai==0.28 ag2==0.1.14
# latest
pip install openai==1.6.1 pyautogen==0.2.3
pip show pyautogen
pip install openai==1.6.1 ag2==0.2.3
pip show ag2

python autogen/autogen_assistant/autogen_assistant.py

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8 changes: 4 additions & 4 deletions autogen/autogenra/readme.md
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Expand Up @@ -12,13 +12,13 @@ Or use LM Studio build your local LLM => https://lmstudio.ai/

2. Run your code local machine:
```
python3.12 -m venv pyautogen
source pyautogen/bin/activate
python3.12 -m venv ag2
source ag2/bin/activate
# deactivate
# old version with between Aug 2023 and Oct 2023
pip install openai==0.28 pyautogen==0.1.14
pip install openai==0.28 ag2==0.1.14
# latest
pip install openai==1.6.1 pyautogen==0.2.3
pip install openai==1.6.1 ag2==0.2.3

pip install -r requirements.txt

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4 changes: 2 additions & 2 deletions autogen/multiagents_groupchat/log.txt
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Expand Up @@ -12,7 +12,7 @@ BadRequestError: Error code: 400 - {'error': "'messages' array must only contain


--------------------------------------------------------------------------------
(pyautogen) root@1cfeec487615:/home/tmp/mingwork/llm_sample# python autogen/multiagents_groupchat/multiagents_groupchat.py
(ag2) root@1cfeec487615:/home/tmp/mingwork/llm_sample# python autogen/multiagents_groupchat/multiagents_groupchat.py
====================
openai.Model.list=> {
"data": [
Expand Down Expand Up @@ -180,4 +180,4 @@ user_proxy (to chat_manager):
--------------------------------------------------------------------------------
==========completed run_agentchat_multiagents_groupchat=============

(pyautogen) root@1cfeec487615:/home/tmp/mingwork/llm_sample#
(ag2) root@1cfeec487615:/home/tmp/mingwork/llm_sample#
6 changes: 3 additions & 3 deletions autogen/multiagents_groupchat/multiagents_groupchat.py
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Expand Up @@ -7,8 +7,8 @@
import openai


#Initial your Custom llm_config configurations,LM Studio Server support SKD is openai==0.28 pyautogen==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
# base_url = "http://airedale-native-chicken.ngrok-free.app/v1" # Seems like OpenLLM server only support SKD is openai==0.28 pyautogen==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
#Initial your Custom llm_config configurations,LM Studio Server support SKD is openai==0.28 ag2==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
# base_url = "http://airedale-native-chicken.ngrok-free.app/v1" # Seems like OpenLLM server only support SKD is openai==0.28 ag2==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
# api_model="TinyLlama--TinyLlama-1.1B-Chat-v1.0"
base_url = "http://192.168.0.232:1234/v1" #Sidan's Server Mistral-7B-Instruct-v0.2-GGUF/mistral-7b-instruct-v0.2.Q6_K.gguf
api_model="Mistral-7B-Instruct-v0.2-GGUF/mistral-7b-instruct-v0.2.Q6_K.gguf"
Expand Down Expand Up @@ -37,7 +37,7 @@

def run_agentchat_multiagents_groupchat():
# try:
#Base on openai==0.28 pyautogen==0.1.14 ,If you want to use your own LLM,you must be override your openai.api_base and openai.api_key for autogen, otherwise won't be work.
#Base on openai==0.28 ag2==0.1.14 ,If you want to use your own LLM,you must be override your openai.api_base and openai.api_key for autogen, otherwise won't be work.
openai.api_key = api_key # supply your API key however you choose
openai.api_base= base_url # supply your api base URL If you have your own LLM
openai.model = api_model # supply your api base URL If you have your own model (PS:openLLM required change the model,LM Studio doesn't care about model)
Expand Down
10 changes: 5 additions & 5 deletions autogen/multiagents_groupchat/readme.md
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Expand Up @@ -9,14 +9,14 @@ Or use LM Studio build your local LLM => https://lmstudio.ai/

2. Run your code local machine:
```
python3.12 -m venv pyautogen
source pyautogen/bin/activate
python3.12 -m venv ag2
source ag2/bin/activate
# deactivate
# old version with between Aug 2023 and Oct 2023
pip install openai==0.28 pyautogen==0.1.14
pip install openai==0.28 ag2==0.1.14
# latest
pip install openai==1.6.1 pyautogen==0.2.3
pip show pyautogen
pip install openai==1.6.1 ag2==0.2.3
pip show ag2

python autogen/multiagents_groupchat/multiagents_groupchat.py

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2 changes: 1 addition & 1 deletion crewagent/crewagent.py
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Expand Up @@ -20,7 +20,7 @@
#os.environ["OPENAI_API_KEY"] = "YOUR KEY"
g_base_url = "http://192.168.137.176:1234/v1" #Sidan's Server Mistral-7B-Instruct-v0.1-GGUF/mistral-7b-instruct-v0.1.Q8_0.gguf
g_api_key = "sk-llllllllllllllllllllll" # even your local don't use the authorization, but you need to fill something, otherwise will be get exception.
#g_base_url = "http://airedale-native-chicken.ngrok-free.app/v1" # Seems like OpenLLM server only support SKD is openai==0.28 pyautogen==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
#g_base_url = "http://airedale-native-chicken.ngrok-free.app/v1" # Seems like OpenLLM server only support SKD is openai==0.28 ag2==0.1.14 . refer: https://colab.research.google.com/drive/1GKlfU7Fjq30oQPirHvCcQy_e_B8vNEDs?usp=sharing
#g_api_model="NousResearch--Nous-Hermes-llama-2-7b"
g_api_model="TinyLlama--TinyLlama-1.1B-Chat-v1.0"
os.environ["OPENAI_API_KEY"] = g_api_key
Expand Down