mirror of https://github.com/microsoft/autogen.git
Register async human input handler (#794)
* Update conversable_agent.py * Add files via upload * Delete notebook/Async_human_input.ipynb * Add files via upload * refactor:formatter * feat:updated position --------- Co-authored-by: Chi Wang <wang.chi@microsoft.com>
This commit is contained in:
Shobhit Vishnoi
GitHub
parent
c19f234149
commit
5c92fb378b
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@ -54,7 +54,7 @@ class LLaVAAgent(MultimodalConversableAgent):
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)
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assert self.llm_config is not None, "llm_config must be provided."
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self.register_reply([Agent, None], reply_func=LLaVAAgent._image_reply, position=1)
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self.register_reply([Agent, None], reply_func=LLaVAAgent._image_reply, position=2)
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def _image_reply(self, messages=None, sender=None, config=None):
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# Note: we did not use "llm_config" yet.
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@ -206,7 +206,7 @@ class RetrieveUserProxyAgent(UserProxyAgent):
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self._is_termination_msg = (
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self._is_termination_msg_retrievechat if is_termination_msg is None else is_termination_msg
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)
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self.register_reply(Agent, RetrieveUserProxyAgent._generate_retrieve_user_reply, position=1)
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self.register_reply(Agent, RetrieveUserProxyAgent._generate_retrieve_user_reply, position=2)
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def _is_termination_msg_retrievechat(self, message):
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"""Check if a message is a termination message.
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@ -133,6 +133,7 @@ class ConversableAgent(Agent):
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self.register_reply([Agent, None], ConversableAgent.generate_function_call_reply)
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self.register_reply([Agent, None], ConversableAgent.generate_async_function_call_reply)
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self.register_reply([Agent, None], ConversableAgent.check_termination_and_human_reply)
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self.register_reply([Agent, None], ConversableAgent.a_check_termination_and_human_reply)
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def register_reply(
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self,
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@ -0,0 +1,376 @@
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"toc_visible": true
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {
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"id": "tLIs1YRdr8jM",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "909c1c70-1a22-4e9d-b7f4-a40e2d737fb0"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.16.0+cu118)\n",
|
||||
"Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.23.5)\n",
|
||||
"Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.2.2)\n",
|
||||
"Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.11.3)\n",
|
||||
"Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (3.8.1)\n",
|
||||
"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.1.99)\n",
|
||||
"Requirement already satisfied: huggingface-hub>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.19.4)\n",
|
||||
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (3.13.1)\n",
|
||||
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2023.6.0)\n",
|
||||
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2.31.0)\n",
|
||||
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (6.0.1)\n",
|
||||
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (4.8.0)\n",
|
||||
"Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (23.2)\n",
|
||||
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (1.12)\n",
|
||||
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.2.1)\n",
|
||||
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1.2)\n",
|
||||
"Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (2.1.0)\n",
|
||||
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (2023.6.3)\n",
|
||||
"Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.15.0)\n",
|
||||
"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.4.0)\n",
|
||||
"Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (8.1.7)\n",
|
||||
"Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (1.3.2)\n",
|
||||
"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->sentence_transformers) (3.2.0)\n",
|
||||
"Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision->sentence_transformers) (9.4.0)\n",
|
||||
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.6.0->sentence_transformers) (2.1.3)\n",
|
||||
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.3.2)\n",
|
||||
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.4)\n",
|
||||
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (1.26.18)\n",
|
||||
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2023.7.22)\n",
|
||||
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->sentence_transformers) (1.3.0)\n",
|
||||
"Requirement already satisfied: tiktoken in /usr/local/lib/python3.10/dist-packages (0.5.1)\n",
|
||||
"Requirement already satisfied: regex>=2022.1.18 in /usr/local/lib/python3.10/dist-packages (from tiktoken) (2023.6.3)\n",
|
||||
"Requirement already satisfied: requests>=2.26.0 in /usr/local/lib/python3.10/dist-packages (from tiktoken) (2.31.0)\n",
|
||||
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (3.3.2)\n",
|
||||
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (3.4)\n",
|
||||
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (1.26.18)\n",
|
||||
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (2023.7.22)\n",
|
||||
"Requirement already satisfied: pypdf in /usr/local/lib/python3.10/dist-packages (3.17.1)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install pyautogen==0.2.0\n",
|
||||
"!pip install chromadb\n",
|
||||
"!pip install sentence_transformers\n",
|
||||
"!pip install tiktoken\n",
|
||||
"!pip install pypdf"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"from autogen import AssistantAgent\n",
|
||||
"from autogen.agentchat.contrib.retrieve_user_proxy_agent import RetrieveUserProxyAgent\n",
|
||||
"from autogen.agentchat.user_proxy_agent import UserProxyAgent"
|
||||
],
|
||||
"metadata": {
|
||||
"id": "yU8zQPetsW28"
|
||||
},
|
||||
"execution_count": null,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"from typing import Callable, Dict, Optional, Union, List, Tuple, Any\n",
|
||||
"import asyncio\n",
|
||||
"\n",
|
||||
"# Define an asynchronous function that simulates some asynchronous task (e.g., I/O operation)\n",
|
||||
"async def my_asynchronous_function():\n",
|
||||
" print(\"Start asynchronous function\")\n",
|
||||
" await asyncio.sleep(2) # Simulate some asynchronous task (e.g., I/O operation)\n",
|
||||
" print(\"End asynchronous function\")\n",
|
||||
" return \"input\"\n",
|
||||
"\n",
|
||||
"# Define a custom class `CustomisedUserProxyAgent` that extends `UserProxyAgent`\n",
|
||||
"class CustomisedUserProxyAgent(UserProxyAgent):\n",
|
||||
"\n",
|
||||
" # Asynchronous function to get human input\n",
|
||||
" async def a_get_human_input(self, prompt: str) -> str:\n",
|
||||
" # Call the asynchronous function to get user input asynchronously\n",
|
||||
" user_input=await my_asynchronous_function()\n",
|
||||
"\n",
|
||||
" return user_input\n",
|
||||
" # Asynchronous function to receive a message\n",
|
||||
" async def a_receive(\n",
|
||||
" self,\n",
|
||||
" message: Union[Dict, str],\n",
|
||||
" sender,\n",
|
||||
" request_reply: Optional[bool] = None,\n",
|
||||
" silent: Optional[bool] = False,\n",
|
||||
" ):\n",
|
||||
" # Call the superclass method to handle message reception asynchronously\n",
|
||||
" await super().a_receive(message, sender, request_reply, silent)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"class CustomisedAssistantAgent(AssistantAgent):\n",
|
||||
"\n",
|
||||
" # Asynchronous function to get human input\n",
|
||||
" async def a_get_human_input(self, prompt: str) -> str:\n",
|
||||
" # Call the asynchronous function to get user input asynchronously\n",
|
||||
" user_input=await my_asynchronous_function()\n",
|
||||
"\n",
|
||||
" return user_input\n",
|
||||
"\n",
|
||||
" # Asynchronous function to receive a message\n",
|
||||
" async def a_receive(\n",
|
||||
" self,\n",
|
||||
" message: Union[Dict, str],\n",
|
||||
" sender,\n",
|
||||
" request_reply: Optional[bool] = None,\n",
|
||||
" silent: Optional[bool] = False,\n",
|
||||
" ):\n",
|
||||
" # Call the superclass method to handle message reception asynchronously\n",
|
||||
" await super().a_receive(message, sender, request_reply, silent)\n",
|
||||
"\n",
|
||||
"\n"
|
||||
],
|
||||
"metadata": {
|
||||
"id": "R2ITRFQisgzI"
|
||||
},
|
||||
"execution_count": null,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"def create_llm_config(model, temperature, seed):\n",
|
||||
" config_list = [\n",
|
||||
" {\n",
|
||||
" \"model\": \"<model_name>\",\n",
|
||||
" \"api_key\": \"<api_key>\",\n",
|
||||
" },\n",
|
||||
" ]\n",
|
||||
"\n",
|
||||
" llm_config = {\n",
|
||||
" \"seed\": int(seed),\n",
|
||||
" \"config_list\": config_list,\n",
|
||||
" \"temperature\": float(temperature),\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" return llm_config\n"
|
||||
],
|
||||
"metadata": {
|
||||
"id": "2v_DhqBFuA1O"
|
||||
},
|
||||
"execution_count": null,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"!pip install nest-asyncio"
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "yHIUO2CiwfIp",
|
||||
"outputId": "79ceccca-f91c-4dde-9e21-1f2129cdc1a8"
|
||||
},
|
||||
"execution_count": null,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": [
|
||||
"Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.10/dist-packages (1.5.8)\n"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"import nest_asyncio\n",
|
||||
"nest_asyncio.apply()\n",
|
||||
"\n",
|
||||
"async def main():\n",
|
||||
" boss = CustomisedUserProxyAgent(\n",
|
||||
" name=\"boss\",\n",
|
||||
" human_input_mode=\"ALWAYS\",\n",
|
||||
" max_consecutive_auto_reply=0,\n",
|
||||
" code_execution_config=False,\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
" assistant = CustomisedAssistantAgent(\n",
|
||||
" name=\"assistant\",\n",
|
||||
" system_message=\"You will provide some agenda, and I will create questions for an interview meeting.Everytime when you generate question then you have to ask user for feedback and if user provides the feedback then you have to incorporate that feedback and generate new set of questions and if user don't want to update then terminate the process and exit\",\n",
|
||||
" llm_config=create_llm_config(\"gpt-4\", \"0.4\", \"23\"),\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
" await boss.a_initiate_chat(\n",
|
||||
" assistant,\n",
|
||||
" message=\"Resume Review, Technical Skills Assessment, Project Discussion, Job Role Expectations, Closing Remarks.\",\n",
|
||||
" n_results=3,\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
"await main()"
|
||||
],
|
||||
"metadata": {
|
||||
"id": "ywFsRNMDteaH",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"outputId": "5716adad-de80-4595-eec9-523b1f1cd313"
|
||||
},
|
||||
"execution_count": 25,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"boss (to assistant):\n",
|
||||
"\n",
|
||||
"Resume Review, Technical Skills Assessment, Project Discussion, Job Role Expectations, Closing Remarks.\n",
|
||||
"\n",
|
||||
"--------------------------------------------------------------------------------\n",
|
||||
"assistant (to boss):\n",
|
||||
"\n",
|
||||
"1. Can you walk me through your resume, highlighting the most significant parts?\n",
|
||||
"2. What technical skills do you possess that make you a strong candidate for this position?\n",
|
||||
"3. Can you discuss a project you've worked on that you believe showcases your abilities?\n",
|
||||
"4. What are your expectations for this job role?\n",
|
||||
"5. Do you have any questions or concerns before we conclude this interview?\n",
|
||||
"\n",
|
||||
"Can you please provide your feedback on these questions?\n",
|
||||
"\n",
|
||||
"--------------------------------------------------------------------------------\n",
|
||||
"Provide feedback to assistant. Press enter to skip and use auto-reply, or type 'exit' to end the conversation: exit\n"
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
Loading…
Reference in New Issue