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An Open-source Framework for Autonomous Language Agents

Home Page: http://www.aiwaves-agents.com/

License: Apache License 2.0

Python 100.00%

autonomous-agents language-model llm

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agents's Issues

Is there any way to build an SQL agent using this Agents tool?

I've read all the examples, and wonder is there any way to build an SQL agent using this Agents tool?

【解决措施】tensorflow版本问题，module 'tensorflow' has no attribute 'contrib'

1. 运行环境

系统：Mac OS
Python版本: 3.11
tensorflow版本: 2.13.0

pip install ai-agents

2. 按照README.md演示shopping_assistant

python run.py --agent Single_Agent/shopping_assistant/config.json

3. 抛出Error

AttributeError: module 'tensorflow' has no attribute 'contrib'

4. 解决措施

根据提示，修改脚本文件，路径是:

/opt/anaconda3/envs/agents/lib/python3.11/site-packages/agents/scripts/networks.py

安装: pip install tensorflow_probability
导入依赖包:
import tensorflow_probability as tfp
将 tfd = tf.contrib.distributions 改为 tfd = tfp.distributions

^_^ 问题解决，可以正常运行Demo了。

希望支持微软的借口

国内访问不了openai啊，作者大大是不是需要适配一下azure的gpt。这样很多国内的企业就能用了

本地部署网络问题

运行提示错误raise error.APIConnectionError(
openai.error.APIConnectionError: Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443)
请问是一定要连上互联网才能调用大模型吗？本地无网情况下如何操作？

ModuleNotFoundError: No module named 'torch._six'

Cloned and installed with pip install -e .
Went to examples directory cd examples
Tried one of the examples with python Single_Agent/run_gradio.py --agent Single_Agent/shopping_assistant/config.json

Got the following output

server: executing `python Single_Agent/gradio_backend.py --agent Single_Agent/shopping_assistant/config.json` ...
Traceback (most recent call last):
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1130, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "/home/user/anaconda3/lib/python3.9/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 850, in exec_module
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 42, in <module>
    from ...modeling_utils import PreTrainedModel
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/modeling_utils.py", line 38, in <module>
    from .deepspeed import deepspeed_config, is_deepspeed_zero3_enabled
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/deepspeed.py", line 37, in <module>
    from accelerate.utils.deepspeed import HfDeepSpeedConfig as DeepSpeedConfig
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/__init__.py", line 3, in <module>
    from .accelerator import Accelerator
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/accelerator.py", line 35, in <module>
    from .checkpointing import load_accelerator_state, load_custom_state, save_accelerator_state, save_custom_state
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/checkpointing.py", line 24, in <module>
    from .utils import (
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/utils/__init__.py", line 136, in <module>
    from .launch import (
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/utils/launch.py", line 33, in <module>
    from ..utils.other import is_port_in_use, merge_dicts
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/utils/other.py", line 32, in <module>
    from deepspeed import DeepSpeedEngine
  File "/home/user/anaconda3/lib/python3.9/site-packages/deepspeed/__init__.py", line 14, in <module>
    from . import module_inject
  File "/home/user/anaconda3/lib/python3.9/site-packages/deepspeed/module_inject/__init__.py", line 1, in <module>
    from .replace_module import replace_transformer_layer, revert_transformer_layer, ReplaceWithTensorSlicing
  File "/home/user/anaconda3/lib/python3.9/site-packages/deepspeed/module_inject/replace_module.py", line 15, in <module>
    from ..runtime.zero import GatheredParameters
  File "/home/user/anaconda3/lib/python3.9/site-packages/deepspeed/runtime/zero/__init__.py", line 6, in <module>
    from .partition_parameters import ZeroParamType
  File "/home/user/anaconda3/lib/python3.9/site-packages/deepspeed/runtime/zero/partition_parameters.py", line 22, in <module>
    from .linear import LinearModuleForZeroStage3, zero3_linear_wrap
  File "/home/user/anaconda3/lib/python3.9/site-packages/deepspeed/runtime/zero/linear.py", line 20, in <module>
    from deepspeed.runtime.utils import noop_decorator
  File "/home/user/anaconda3/lib/python3.9/site-packages/deepspeed/runtime/utils.py", line 19, in <module>
    from torch._six import inf
ModuleNotFoundError: No module named 'torch._six'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/user/Developer/_experiments/agents/examples/Single_Agent/gradio_backend.py", line 7, in <module>
    from agents.SOP import SOP
  File "/home/user/Developer/_experiments/agents/src/agents/__init__.py", line 2, in <module>
    from .SOP import *
  File "/home/user/Developer/_experiments/agents/src/agents/SOP.py", line 18, in <module>
    from LLM.base_LLM import *
  File "/home/user/Developer/_experiments/agents/examples/../src/agents/LLM/base_LLM.py", line 6, in <module>
    from utils import save_logs
  File "/home/user/Developer/_experiments/agents/examples/../src/agents/utils.py", line 25, in <module>
    from text2vec import semantic_search
  File "/home/user/anaconda3/lib/python3.9/site-packages/text2vec/__init__.py", line 8, in <module>
    from text2vec.bertmatching_model import BertMatchModel
  File "/home/user/anaconda3/lib/python3.9/site-packages/text2vec/bertmatching_model.py", line 16, in <module>
    from transformers import BertForSequenceClassification, BertTokenizer
  File "<frozen importlib._bootstrap>", line 1055, in _handle_fromlist
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1121, in __getattr__
    value = getattr(module, name)
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1120, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1132, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.models.bert.modeling_bert because of the following error (look up to see its traceback):
No module named 'torch._six'

Torch version installed:

>>> import torch
>>> print(torch. __version__)
2.0.1+cu118

您好，在运行单agent的shopping agent，使用local model的时候，出现了错误
src/agents/Component/ExtraComponent.py, Line77, in func response_message = json.loads(response["function_call"]["arguments"])
KeyError: 'function_call'
请问如何解决呀？

LangChain primitive usage

Hi, I do not fully understand why you are not using the LangChain primities as there are plenty of tools already available. Is there an intent to migrate? Also, where is the roadmap ? thanks

Connection ERROR

I've set my own proxy in the config file.
Anyone came into this problem?
openai.error.APIConnectionError: Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/embeddings (Caused by SSLError(SSLCertVerificationError(1, "[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'api.openai.com'. (_ssl.c:997)")))

How to change LLM？

Unable to join wechat group

Hi! It seems like the group chat becomes invite-only once it has over 200 members

AttributeError: module 'eventlet.green.select' has no attribute 'epoll'

Cloned and installed with pip install -e .
Went to examples directory cd examples
Tried one of the examples with python Single_Agent/run_gradio.py --agent Single_Agent/shopping_assistant/config.json

Got the following output:

server: executing `python Single_Agent/gradio_backend.py --agent Single_Agent/shopping_assistant/config.json` ...
[2023-09-26 13:43:39,014] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Traceback (most recent call last):
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1130, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "/home/user/anaconda3/lib/python3.9/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 850, in exec_module
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 42, in <module>
    from ...modeling_utils import PreTrainedModel
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/modeling_utils.py", line 38, in <module>
    from .deepspeed import deepspeed_config, is_deepspeed_zero3_enabled
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/deepspeed.py", line 37, in <module>
    from accelerate.utils.deepspeed import HfDeepSpeedConfig as DeepSpeedConfig
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/__init__.py", line 3, in <module>
    from .accelerator import Accelerator
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/accelerator.py", line 41, in <module>
    from .tracking import LOGGER_TYPE_TO_CLASS, GeneralTracker, filter_trackers
  File "/home/user/anaconda3/lib/python3.9/site-packages/accelerate/tracking.py", line 50, in <module>
    import wandb
  File "/home/user/anaconda3/lib/python3.9/site-packages/wandb/__init__.py", line 26, in <module>
    from wandb import sdk as wandb_sdk
  File "/home/user/anaconda3/lib/python3.9/site-packages/wandb/sdk/__init__.py", line 5, in <module>
    from . import wandb_helper as helper  # noqa: F401
  File "/home/user/anaconda3/lib/python3.9/site-packages/wandb/sdk/wandb_helper.py", line 6, in <module>
    from .lib import config_util
  File "/home/user/anaconda3/lib/python3.9/site-packages/wandb/sdk/lib/config_util.py", line 9, in <module>
    from wandb.util import load_yaml
  File "/home/user/anaconda3/lib/python3.9/site-packages/wandb/util.py", line 53, in <module>
    import sentry_sdk  # type: ignore
  File "/home/user/anaconda3/lib/python3.9/site-packages/sentry_sdk/__init__.py", line 1, in <module>
    from sentry_sdk.hub import Hub, init
  File "/home/user/anaconda3/lib/python3.9/site-packages/sentry_sdk/hub.py", line 8, in <module>
    from sentry_sdk.scope import Scope
  File "/home/user/anaconda3/lib/python3.9/site-packages/sentry_sdk/scope.py", line 7, in <module>
    from sentry_sdk.utils import logger, capture_internal_exceptions
  File "/home/user/anaconda3/lib/python3.9/site-packages/sentry_sdk/utils.py", line 885, in <module>
    HAS_REAL_CONTEXTVARS, ContextVar = _get_contextvars()
  File "/home/user/anaconda3/lib/python3.9/site-packages/sentry_sdk/utils.py", line 855, in _get_contextvars
    if not _is_contextvars_broken():
  File "/home/user/anaconda3/lib/python3.9/site-packages/sentry_sdk/utils.py", line 816, in _is_contextvars_broken
    from eventlet.patcher import is_monkey_patched  # type: ignore
  File "/home/user/anaconda3/lib/python3.9/site-packages/eventlet/__init__.py", line 17, in <module>
    from eventlet import convenience
  File "/home/user/anaconda3/lib/python3.9/site-packages/eventlet/convenience.py", line 7, in <module>
    from eventlet.green import socket
  File "/home/user/anaconda3/lib/python3.9/site-packages/eventlet/green/socket.py", line 21, in <module>
    from eventlet.support import greendns
  File "/home/user/anaconda3/lib/python3.9/site-packages/eventlet/support/greendns.py", line 79, in <module>
    setattr(dns, pkg, import_patched('dns.' + pkg))
  File "/home/user/anaconda3/lib/python3.9/site-packages/eventlet/support/greendns.py", line 61, in import_patched
    return patcher.import_patched(module_name, **modules)
  File "/home/user/anaconda3/lib/python3.9/site-packages/eventlet/patcher.py", line 132, in import_patched
    return inject(
  File "/home/user/anaconda3/lib/python3.9/site-packages/eventlet/patcher.py", line 109, in inject
    module = __import__(module_name, {}, {}, module_name.split('.')[:-1])
  File "/home/user/anaconda3/lib/python3.9/site-packages/dns/asyncquery.py", line 34, in <module>
    from dns.query import _compute_times, _matches_destination, BadResponse, ssl, \
  File "/home/user/anaconda3/lib/python3.9/site-packages/dns/query.py", line 52, in <module>
    import httpx
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpx/__init__.py", line 2, in <module>
    from ._api import delete, get, head, options, patch, post, put, request, stream
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpx/_api.py", line 4, in <module>
    from ._client import Client
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpx/_client.py", line 30, in <module>
    from ._transports.default import AsyncHTTPTransport, HTTPTransport
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpx/_transports/default.py", line 30, in <module>
    import httpcore
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpcore/__init__.py", line 1, in <module>
    from ._api import request, stream
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpcore/_api.py", line 5, in <module>
    from ._sync.connection_pool import ConnectionPool
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpcore/_sync/__init__.py", line 1, in <module>
    from .connection import HTTPConnection
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpcore/_sync/connection.py", line 12, in <module>
    from .._synchronization import Lock
  File "/home/user/anaconda3/lib/python3.9/site-packages/httpcore/_synchronization.py", line 13, in <module>
    import trio
  File "/home/user/anaconda3/lib/python3.9/site-packages/trio/__init__.py", line 18, in <module>
    from ._core import (
  File "/home/user/anaconda3/lib/python3.9/site-packages/trio/_core/__init__.py", line 27, in <module>
    from ._run import (
  File "/home/user/anaconda3/lib/python3.9/site-packages/trio/_core/_run.py", line 2452, in <module>
    from ._io_epoll import EpollIOManager as TheIOManager
  File "/home/user/anaconda3/lib/python3.9/site-packages/trio/_core/_io_epoll.py", line 188, in <module>
    class EpollIOManager:
  File "/home/user/anaconda3/lib/python3.9/site-packages/trio/_core/_io_epoll.py", line 189, in EpollIOManager
    _epoll = attr.ib(factory=select.epoll)
AttributeError: module 'eventlet.green.select' has no attribute 'epoll'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/user/Developer/_experiments/agents/examples/Single_Agent/gradio_backend.py", line 7, in <module>
    from agents.SOP import SOP
  File "/home/user/Developer/_experiments/agents/src/agents/__init__.py", line 2, in <module>
    from .SOP import *
  File "/home/user/Developer/_experiments/agents/src/agents/SOP.py", line 18, in <module>
    from LLM.base_LLM import *
  File "/home/user/Developer/_experiments/agents/examples/../src/agents/LLM/base_LLM.py", line 6, in <module>
    from utils import save_logs
  File "/home/user/Developer/_experiments/agents/examples/../src/agents/utils.py", line 25, in <module>
    from text2vec import semantic_search
  File "/home/user/anaconda3/lib/python3.9/site-packages/text2vec/__init__.py", line 8, in <module>
    from text2vec.bertmatching_model import BertMatchModel
  File "/home/user/anaconda3/lib/python3.9/site-packages/text2vec/bertmatching_model.py", line 16, in <module>
    from transformers import BertForSequenceClassification, BertTokenizer
  File "<frozen importlib._bootstrap>", line 1055, in _handle_fromlist
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1121, in __getattr__
    value = getattr(module, name)
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1120, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "/home/user/anaconda3/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1132, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.models.bert.modeling_bert because of the following error (look up to see its traceback):
module 'eventlet.green.select' has no attribute 'epoll'

Using repo as dependency results in partial install

Hi, I'd like to use this project as a dependency via Poetry, however, when I install the package from git (since the version on PyPI is vastly outdated), it seems all the submodules are missing.

Reproduction steps:

Create a new folder
Setup new Poetry project: poetry init
Add this repo as dependency: poetry add git+https://github.com/aiwaves-cn/agents.git
Check the site-packages/agents and observe that only top-level Python files are included; in my case:

.
├── evolve.py
├── __init__.py
├── SOP.py
├── State.py
├── template.py
└── utils.py

I suspect this could be regression introduced in 2ae5457. I'm no distutils expert, but it seems specifying just packages = ['agents'] will omit all subpackages (e.g. agents.LLM).

Perhaps one option to fix it would be to combine previously removed find_packages with package_dir like this?

packages=find_packages(where='src'),
package_dir={"": "src"}

mat1 and mat2 shapes cannot be multiplied (1x1024 and 1536x4)

运行 oculist_agent 出现矩阵不一致的报错。请教下怎么解决，感谢～！

Unable to run this locally

I am unable to run this locally. There are issues with the imports, was anyone able to install and run this successfully?

Support more search engines and more data in the `WebSearchComponent`

Currently the WebSearchComponent supports Google and Bing organic search results.

agents/src/agents/Component/ToolComponent.py

Line 173 in b4ec704

__ENGINE_NAME__: List = ["google", "bing"]

More data can be obtained in a similar way to Langchain (ref: https://github.com/langchain-ai/langchain/blob/48a04aed7539f47a2a12fbe8b863a7813814ff86/libs/langchain/langchain/utilities/serpapi.py#L128-L215).

We'd be happy to integrate SerpApi into aiwaves-agents.

What do you think about supporting more data from Google, Bing, and other search engines results pages?

Error

{ "config":{
"API_KEY" : "xxxxxxx",
"PROXY" : "",
"MAX_CHAT_HISTORY" : "1000",
"User_Names" : "["alexander"]",
"Embed_Model" : "intfloat/multilingual-e5-large"
},
"LLM_type": "OpenAI",
"LLM": {
"temperature": 0.0,
"model": "gpt-3.5-turbo-16k-0613",
"log_path": "logs/god"
},
"agents": {
"Mike": {
"style":"humorous and professional",
"roles":{
"response_state": "customer service personnel"
}
},
"alexander": {
"style":"cold and unruly",
"roles":{
"response_state": "user"
}
}
},
"root": "response_state",
"relations": {
"response_state": {
"0": "response_state"
}
},
"temperature": 0.6,
"log_path": "logs",
"states": {
"end_state": {
},
"response_state": {
"controller": {
"controller_type": "order"
},
"begin_role": "customer service personnel",
"begin_query": "hello, could i can help you?",
"environment_prompt": "",
"roles": [
"customer service personnel",
"user"
],
"LLM_type": "OpenAI",
"LLM": {
"temperature": 1.0,
"model": "gpt-3.5-turbo-16k-0613",
"log_path": "logs/customer_service"
},
"agent_states": {
"customer service personnel": {
"style": {
"role": "customer service personnel"
},
"task": {
"task": "answer user's question"
},
"rule": {
"rule": "Keep your response as concise as possible."
},
"KnowledgeBaseComponent": {
"top_k": 1,
"type": "QA",
"knowledge_path": "Single_Agent/customer_service/easy_question.json"
}
},
"user": {
}
}
}
}
}

C:\Users\xxxxx\Desktop\agents\examples>python run.py --agent Single_Agent/customer_service/customer_knowledge.json
path Single_Agent/customer_service/easy_question.json
Mike(customer service personnel):hello, could i can help you?
alexander:selam
0.7510939240455627
Traceback (most recent call last):
File "C:\Users\xxxx\Desktop\agents\examples\run.py", line 44, in
run(agents,sop,environment)
File "C:\Users\xxxx\Desktop\agents\examples\run.py", line 35, in run
memory = action.process()
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\Action\base_action.py", line 25, in process
for res in response:
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\LLM\base_LLM.py", line 39, in get_stream
save_logs(log_path, messages, ans)
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\utils.py", line 127, in save_logs
with open(log_file, "w", encoding="utf-8") as f:
OSError: [Errno 22] Invalid argument: 'logs/Mike\2023-09-1801:15:51.json'

ModuleNotFoundError: No module named 'agents.SOP'

cd example
python run.py --agent Multi_Agent/debate/config.json

File "run.py", line 3, in
from agents.SOP import SOP
ModuleNotFoundError: No module named 'agents.SOP'

Support Agent Protocol

https://github.com/AI-Engineer-Foundation/agent-protocol

Just read your paper. I love the clean and fundamental your approach is to think about entire ecosystem for Agents. Curious if you'd consider using the Agent Protocol we have developed. This OSS project resides under a non-profit called "AI Engineer Foundation". The mission is to establish industry standards so that people do not have to re-invent the wheels, so that we can collaborate more.

By implementing Agent Protocol, you'd be able to communicate with all other Agents out there that also conform to the same protocol as well as being able to be benchmarked.

AutoGPT is running a hackathon and they have created a benchmarking tool that is built with AgentProtocol. Other projects that have adopted us other than AutoGPT is: GPTEngineer, PolyAGI, Beebot, E2B... the list is growing.

Excited to hear back from you!

Collaborative Opportunity: Sharing your Gradio demo via HuggingFace Hub

Hi 🤗 !
Very cool work with Gradio demos linked on the Readme! It would be nice to host these awesome demos on the Hugging Face Hub !
Some of the benefits of sharing your models through the Hub would be:

A wider reach of your work to the ecosystem
Seamless integration with popular libraries and frameworks, enhancing usability
Real-time feedback and collaboration opportunities with a global community of researchers and developers

This is a step-by-step guide explaining the process in case you're interested. 😊 This is our docs on Community GPU Grants.

Error running locally ：RuntimeError: selected index k out of range

Config:

{
  "config": {
    "API_KEY": "sk-xxxx",
    "PROXY": "http://127.0.0.1:23457",
    "API_BASE": "",
    "MAX_CHAT_HISTORY": "5",
    "MIN_CATEGORY_SIM": "0.7",
    "FETSIZE": "3",
    "User_Names": "[\"Mike\"]",
    "SHOPPING_SEARCH": "Your search url"
  },
  "LLM_type": "OpenAI",
  "LLM": {
    "temperature": 0.3,
    "model": "gpt-3.5-turbo-16k-0613",
    "log_path": "logs/god"
  },
  "root": "shopping_state",
  "relations": {
    "shopping_state": {
      "0": "shopping_state",
      "1": "end_state"
    }
  },
  "agents": {
    "Jonh": {
      "style": "humorous",
      "roles": {
        "shopping_state": "Shopping assistant"
      }
    },
    "Mike": {
      "style": "indifferent",
      "roles": {
        "shopping_state": "customer"
      }
    }
  },
  "states": {
    "end_state": {},
    "shopping_state": {
      "roles": [
        "Shopping assistant",
        "customer"
      ],
      "controller": {
        "controller_type": "order",
        "judge_system_prompt": "",
        "judge_last_prompt": "response<end>0<end>",
        "judge_extract_words": "end",
        "call_system_prompt": "",
        "call_last_prompt": "",
        "call_extract_words": "end"
      },
      "environment_prompt": "The current scenario is an AI shopping guide answering customers' questions and recommending corresponding products based on the user's needs to induce users to buy. The main roles are: shopping_assistant (Jonh) is responsible for answering users’ questions, and customers (Mike) come to consult shopping opinions.",
      "begin_role": "Shopping assistant",
      "begin_query": "Welcome to the store, is there anything you want to buy?",
      "agent_states": {
        "Shopping assistant": {
          "style": {
            "role": "Shopping assistant",
            "style": "humorous"
          },
          "task": {
            "task": "Guide users to purchase goods"
          },
          "rule": {
            "rule": "Your language should be as concise as possible, without too much nonsense. You have to repeatedly guide customers to purchase goods"
          },
          "CategoryRequirementsComponent": {
            "information_path": [
              "Single_Agent/shopping_assistant/bb_info.json",
              "Single_Agent/shopping_assistant/toy_info.json"
            ]
          }
        },
        "customer": {
          "style": {
            "role": "customer"
          },
          "task": {
            "task": "Make things difficult for the shopping guide and ask him to provide as much product information as possible"
          },
          "rule": {
            "rule": "Your language should be as concise as possible, without too much nonsense. You cannot ask questions repeatedly. You need to ask different aspects each time, and you can also ask questions reasonably. You can choose not to shop, but you must ask for as much information as possible. You need to constantly ask for different aspects of product information and follow up reasonably. Remember, your tone needs to be cold and your style needs to be tricky"
          }
        }
      }
    }
  }
}

Command：

 python run.py --agent Single_Agent/shopping_assistant/config.json

Error Log:

Jonh(Shopping assistant):Welcome to the store, is there anything you want to buy?
Mike: hell
Jonh(Shopping assistant):Hey Mike, welcome to the store! How can I assist you today? Is there something specific you're looking to buy?
Mike: Buy toys
Traceback (most recent call last):
  File "/Users/zhangyajun/Documents/CodeWorkSpace/skyjun/agents/examples/run.py", line 44, in <module>
    run(agents,sop,environment)
  File "/Users/zhangyajun/Documents/CodeWorkSpace/skyjun/agents/examples/run.py", line 34, in run
    action = current_agent.step(current_state,user_input)   #component_dict = current_state[self.role[current_node.name]]   current_agent.compile(component_dict)
  File "/Users/zhangyajun/Documents/CodeWorkSpace/skyjun/agents/examples/../src/agents/Agent/Agent.py", line 131, in step
    response,res_dict = self.act()
  File "/Users/zhangyajun/Documents/CodeWorkSpace/skyjun/agents/examples/../src/agents/Agent/Agent.py", line 153, in act
    system_prompt, last_prompt, res_dict = self.compile()
  File "/Users/zhangyajun/Documents/CodeWorkSpace/skyjun/agents/examples/../src/agents/Agent/Agent.py", line 218, in compile
    response = component.func(self)
  File "/Users/zhangyajun/Documents/CodeWorkSpace/skyjun/agents/examples/../src/agents/Component/ExtraComponent.py", line 89, in func
    topk_result = matching_category(
  File "/Users/zhangyajun/Documents/CodeWorkSpace/skyjun/agents/examples/../src/agents/utils.py", line 357, in matching_category
    top_k_cat = torch.topk(total_scores, k=top_k)
RuntimeError: selected index k out of range

可否增加对中文的支持或者修改，run singlesop的run.py时中文写不进json文件中

ModuleNotFoundError: No module named 'utils'

ModuleNotFoundError: No module named 'LLM'

from agents import SOP
Traceback (most recent call last):
File "", line 1, in
File "/Users/.../anaconda3/envs/agents/lib/python3.9/site-packages/agents/init.py", line 2, in
from .SOP import *
File "/Users/.../anaconda3/envs/agents/lib/python3.9/site-packages/agents/SOP.py", line 18, in
from LLM.base_LLM import *
ModuleNotFoundError: No module named 'LLM'
`

Gradio web demo errors

Getting errors when I try the demos e.g Software company

Getting Connection error while running in Local

While running the code, I am getting this error

openai.error.APIConnectionError: Error communicating with OpenAI: Please check proxy URL. It is malformed and could be missing the host.

Also what to be given in API_Base and proxy in Config file?

Any requirements to this application?

is there any requirement to the server? I try to run it, but failed due to my server 2.5GB RAM, 2 CORES.

在跑shopping_assistant的时候出现RuntimeError: selected index k out of range

不知道啥问题·····导致这个demo一直无法完整对话。

Typo in diagram

“Human-Agent Interation” should be "Human-Agent Interaction"

unable to continue after "environment.update_memory"

I use "chat_bot" config, when I run the program on terminal, displays the bot text below:
-- Yang bufan(Yang bufan):hello,What are you looking for me for?
The code stopped when running on the line "environment.update_memory". How to deal with it?

pip intall ai-agents ERROR!

When I use the pip intall ai-agents, the install returns a error message:

ERROR: Cannot install ai-agents==0.0.1, ai-agents==0.0.2 and ai-agents==0.0.3 because these package versions have conflicting dependencies.

The conflict is caused by:
    ai-agents 0.0.3 depends on langchain==0.0.308
    ai-agents 0.0.2 depends on langchain==0.0.308
    ai-agents 0.0.1 depends on gradio==3.39.0

How to solve it?
Thanks!!

Can PROXY and API_BASE not be set?

PROXY  =  #Your proxy
API_BASE  = # Your api_base

What do the two values PROXY and API_BASE mean?

Customized knowledge base no kb_answers ERROR

I have a txt file which is my local knowledge base and now I want to use utils.process_document function to process my file. The database json file it generated is not the "QA" type. So when I add this tool into my config.json and run the run.py, it returns the following error:
AttributeError: 'KnowledgeBaseComponent' object has no attribute 'kb_answers'.

The code is here:

else:
  for hit in hits:
      matching_idx = hit["corpus_id"]
      if self.kb_chunks[matching_idx] in temp:
          pass
      else:
          knowledge = knowledge + f"{self.kb_answers[matching_idx]}\n\n"
          temp.append(self.kb_answers[matching_idx])
          if len(temp) == self.top_k:
              break
  print(hits[0]["score"])
  score = hits[0]["score"]
  if score < 0.5:
      return {"prompt": "No matching knowledge base"}
  else:
      print(knowledge)
      return {"prompt": "The relevant content is: " + knowledge + "\n"}

LiteLLM error

Software_company run_gradio.py ERROR

When I run the run_gradio.py from software_company dir, it returns the following error:
KeyError: 'pwd'

The related code is here:

if state == 99:
    # finish
    fs = [self.cache['pwd']+'/output_code/'+_ for _ in os.listdir(self.cache['pwd']+'/output_code')]
    yield gr.File.update(value=fs, visible=True, interactive=True),\
        history, \
        gr.Chatbot.update(visible=True),\
        gr.Button.update(visible=True, interactive=True, value="Start"),\
        gr.Button.update(visible=True, interactive=True),\
        gr.Textbox.update(visible=True, interactive=True, placeholder="Please input your requirement", value=""),\
        gr.Button.update(visible=False)
    return

Support for LLMs other than OpenAI

Palm
LLama
Claude

Issues running agents

It seems strange to me how a paper that discusses that agents should be usable by technical and non-technical does not have any documentation on how to setup and run this repo.

software_company run_gradio failed

I run run_gradio.py with pycharm, but it failed, the logs is as below:
Traceback (most recent call last):
File "D:\programs\anaconda3\envs\agents\lib\site-packages\gradio\routes.py", line 442, in run_predict
output = await app.get_blocks().process_api(
File "D:\programs\anaconda3\envs\agents\lib\site-packages\gradio\utils.py", line 861, in exit
matplotlib.use(self.original_backend)
File "D:\programs\anaconda3\envs\agents\lib\site-packages\matplotlib_init.py", line 1276, in use
plt.switch_backend(name)
File "D:\programs\anaconda3\envs\agents\lib\site-packages\matplotlib\pyplot.py", line 343, in switch_backend
canvas_class = module.FigureCanvas
AttributeError: module 'backend_interagg' has no attribute 'FigureCanvas'

Software company demo failed

Your software company demo cannot work.

assert engine_name in WebSearchComponent.__ENGINE_NAME__ > AssertionError

My config.json looks like:

{
    "config": {
        "API_KEY": "sk-mAPN8QMPJKY56xifrpT3BlbkFJCxEKRHRBMfMtNWFALpoq",
        "PROXY": "",
        "API_BASE": "",
        "MAX_CHAT_HISTORY": "1000",
        "User_Names": "[\"alexander\"]"
    },
    "WebSearchComponent": {
        "engine_name": "google",
        "api": {
            "google": {
                "cse_id": "94ecfac400840f5",
                "api_key": "AIzaSyWP6l-rxAHsV6VFs-mZUPBAhZBOSq-Ck"
            },
            "bing": "Your bing key"
        }
    },
    "LLM_type": "OpenAI",
    ...

cse_id and api_key are correct: I tested them in a separate script.

I call it with python run.py --agent config.json and get:

File "/Users/wodecki/anaconda3/envs/aiagents/lib/python3.10/site-packages/agents/State.py", line 123, in init_components
    component_dict["WebSearchComponent"] = WebSearchComponent(
  File "/Users/wodecki/anaconda3/envs/aiagents/lib/python3.10/site-packages/agents/Component/ToolComponent.py", line 184, in __init__
    assert engine_name in WebSearchComponent.__ENGINE_NAME__
AssertionError

Any idea why?

TypeError: issubclass() arg 1 must be a class

Cloned and installed with pip install -e .
Went to examples directory cd examples
Tried one of the examples with EVENTLET_NO_GREENDNS="yes" python Single_Agent/run_gradio.py --agent Single_Agent/shopping_assistant/config.json (Added EVENTLET_NO_GREENDNS="yes" beacuse of #94 (comment))

Got the following output:

server: executing `python Single_Agent/gradio_backend.py --agent Single_Agent/shopping_assistant/config.json` ...
[2023-09-26 13:58:06,608] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Traceback (most recent call last):
  File "/home/user/Developer/_experiments/agents/examples/Single_Agent/gradio_backend.py", line 7, in <module>
    from agents.SOP import SOP
  File "/home/user/Developer/_experiments/agents/src/agents/__init__.py", line 2, in <module>
    from .SOP import *
  File "/home/user/Developer/_experiments/agents/src/agents/SOP.py", line 18, in <module>
    from LLM.base_LLM import *
  File "/home/user/Developer/_experiments/agents/examples/../src/agents/LLM/base_LLM.py", line 6, in <module>
    from utils import save_logs
  File "/home/user/Developer/_experiments/agents/examples/../src/agents/utils.py", line 28, in <module>
    from langchain.document_loaders import UnstructuredFileLoader
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/__init__.py", line 6, in <module>
    from langchain.agents import MRKLChain, ReActChain, SelfAskWithSearchChain
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/agents/__init__.py", line 31, in <module>
    from langchain.agents.agent import (
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/agents/agent.py", line 23, in <module>
    from langchain.agents.agent_iterator import AgentExecutorIterator
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/agents/agent_iterator.py", line 30, in <module>
    from langchain.tools import BaseTool
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/tools/__init__.py", line 25, in <module>
    from langchain.tools.arxiv.tool import ArxivQueryRun
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/tools/arxiv/tool.py", line 8, in <module>
    from langchain.utilities.arxiv import ArxivAPIWrapper
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/utilities/__init__.py", line 7, in <module>
    from langchain.utilities.apify import ApifyWrapper
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/utilities/apify.py", line 3, in <module>
    from langchain.document_loaders import ApifyDatasetLoader
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/document_loaders/__init__.py", line 89, in <module>
    from langchain.document_loaders.github import GitHubIssuesLoader
  File "/home/user/anaconda3/lib/python3.9/site-packages/langchain/document_loaders/github.py", line 37, in <module>
    class GitHubIssuesLoader(BaseGitHubLoader):
  File "pydantic/main.py", line 198, in pydantic.main.ModelMetaclass.__new__
  File "pydantic/fields.py", line 506, in pydantic.fields.ModelField.infer
  File "pydantic/fields.py", line 436, in pydantic.fields.ModelField.__init__
  File "pydantic/fields.py", line 552, in pydantic.fields.ModelField.prepare
  File "pydantic/fields.py", line 663, in pydantic.fields.ModelField._type_analysis
  File "pydantic/fields.py", line 808, in pydantic.fields.ModelField._create_sub_type
  File "pydantic/fields.py", line 436, in pydantic.fields.ModelField.__init__
  File "pydantic/fields.py", line 552, in pydantic.fields.ModelField.prepare
  File "pydantic/fields.py", line 668, in pydantic.fields.ModelField._type_analysis
  File "/home/user/anaconda3/lib/python3.9/typing.py", line 852, in __subclasscheck__
    return issubclass(cls, self.__origin__)
TypeError: issubclass() arg 1 must be a class

Unable to run this locally

config

{
  "config": {
    "API_KEY": "sk-",
    "PROXY": "http://127.0.0.1:7890",
    "API_BASE": "",
    "MAX_CHAT_HISTORY": "5",
    "MIN_CATEGORY_SIM": "0.7",
    "FETSIZE": "3",
    "User_Names": "[\"Mike\"]",
    "SHOPPING_SEARCH": "Your search url"
  },
  "LLM_type": "OpenAI",
  "LLM": {
    "temperature": 0.3,
    "model": "gpt-3.5-turbo-16k-0613",
    "log_path": "logs/god"
  },
  "root": "shopping_state",
  "relations": {
    "shopping_state": {
      "0": "shopping_state",
      "1": "end_state"
    }
  },
  "agents": {
    "Jonh": {
      "style": "humorous",
      "roles": {
        "shopping_state": "Shopping assistant"
      }
    },
    "Mike": {
      "style": "indifferent",
      "roles": {
        "shopping_state": "customer"
      }
    }
  },
  "states": {
    "end_state": {},
    "shopping_state": {
      "roles": [
        "Shopping assistant",
        "customer"
      ],
      "controller": {
        "controller_type": "order",
        "judge_system_prompt": "",
        "judge_last_prompt": "response<end>0<end>",
        "judge_extract_words": "end",
        "call_system_prompt": "",
        "call_last_prompt": "",
        "call_extract_words": "end"
      },
      "environment_prompt": "The current scenario is an AI shopping guide answering customers' questions and recommending corresponding products based on the user's needs to induce users to buy. The main roles are: shopping_assistant (Jonh) is responsible for answering users’ questions, and customers (Mike) come to consult shopping opinions.",
      "begin_role": "Shopping assistant",
      "begin_query": "Welcome to the store, is there anything you want to buy?",
      "agent_states": {
        "Shopping assistant": {
          "style": {
            "role": "Shopping assistant",
            "style": "humorous"
          },
          "task": {
            "task": "Guide users to purchase goods"
          },
          "rule": {
            "rule": "Your language should be as concise as possible, without too much nonsense. You have to repeatedly guide customers to purchase goods"
          },
          "CategoryRequirementsComponent": {
            "information_path": [
              "Single_Agent/shopping_assistant/bb_info.json",
              "Single_Agent/shopping_assistant/toy_info.json"
            ]
          }
        },
        "customer": {
          "style": {
            "role": "customer"
          },
          "task": {
            "task": "Make things difficult for the shopping guide and ask him to provide as much product information as possible"
          },
          "rule": {
            "rule": "Your language should be as concise as possible, without too much nonsense. You cannot ask questions repeatedly. You need to ask different aspects each time, and you can also ask questions reasonably. You can choose not to shop, but you must ask for as much information as possible. You need to constantly ask for different aspects of product information and follow up reasonably. Remember, your tone needs to be cold and your style needs to be tricky"
          }
        }
      }
    }
  }
}

command & error

python run.py --agent Single_Agent/shopping_assistant/config.json
Jonh(Shopping assistant):Welcome to the store, is there anything you want to buy?
Mike:candy
Traceback (most recent call last):
  File "/workspace/dhl/agents/examples/run.py", line 44, in <module>
    run(agents,sop,environment)
  File "/workspace/dhl/agents/examples/run.py", line 34, in run
    action = current_agent.step(current_state,user_input)   #component_dict = current_state[self.role[current_node.name]]   current_agent.compile(component_dict)
  File "/workspace/dhl/agents/examples/../src/agents/Agent/Agent.py", line 131, in step
    response,res_dict = self.act()
  File "/workspace/dhl/agents/examples/../src/agents/Agent/Agent.py", line 153, in act
    system_prompt, last_prompt, res_dict = self.compile()
  File "/workspace/dhl/agents/examples/../src/agents/Agent/Agent.py", line 218, in compile
    response = component.func(self)
  File "/workspace/dhl/agents/examples/../src/agents/Component/ExtraComponent.py", line 89, in func
    topk_result = matching_category(
  File "/workspace/dhl/agents/examples/../src/agents/utils.py", line 345, in matching_category
    input_embeder = get_embedding(inputtext)
  File "/workspace/dhl/agents/examples/../src/agents/utils.py", line 53, in get_embedding
    embed = embedding_model.create(
  File "/workspace/dhl/conda/envs/ag/lib/python3.10/site-packages/openai/api_resources/embedding.py", line 33, in create
    response = super().create(*args, **kwargs)
  File "/workspace/dhl/conda/envs/ag/lib/python3.10/site-packages/openai/api_resources/abstract/engine_api_resource.py", line 153, in create
    response, _, api_key = requestor.request(
  File "/workspace/dhl/conda/envs/ag/lib/python3.10/site-packages/openai/api_requestor.py", line 298, in request
    resp, got_stream = self._interpret_response(result, stream)
  File "/workspace/dhl/conda/envs/ag/lib/python3.10/site-packages/openai/api_requestor.py", line 700, in _interpret_response
    self._interpret_response_line(
  File "/workspace/dhl/conda/envs/ag/lib/python3.10/site-packages/openai/api_requestor.py", line 765, in _interpret_response_line
    raise self.handle_error_response(
openai.error.RateLimitError: Rate limit reached for default-text-embedding-ada-002 in organization org-lzTj3mnzjnM5lxYLwxprz3di on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method

替换llm

请问下替换自己本地部署的llm的api，这块有没有文档指引

Details on Proxy and API Base

Hi, I am having trouble when running it in my local environment. What is proxy and api base that needs to be added in the config file? Where can i generate that information?

run_gradio issue

When I run multi_agent using run_gradio command, I will get:
raise AccessDenied(self.pid, self._name)
psutil.AccessDenied: (pid=89569)

Traceback (most recent call last):
File "/.../agents_pg/.venv/lib/python3.11/site-packages/psutil/_psosx.py", line 346, in wrapper
return fun(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.../agents_pg/.venv/lib/python3.11/site-packages/psutil/_psosx.py", line 503, in connections
rawlist = cext.proc_connections(self.pid, families, types)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
PermissionError: [Errno 1] Operation not permitted (originated from proc_pidinfo(PROC_PIDLISTFDS) 1/2)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/.../agents/examples/Muti_Agent/software_company/run_gradio.py", line 5, in
from gradio_base import WebUI, UIHelper, PORT, HOST, Client
File "/.../agents_pg/agents/examples/Muti_Agent/software_company/../../Gradio_Config/gradio_base.py", line 91, in
PORT = check_port(PORT)
^^^^^^^^^^^^^^^^
File "/.../agents_pg/agents/examples/Muti_Agent/software_company/../../Gradio_Config/gradio_base.py", line 75, in check_port
if is_port_in_use(port+i) == False:
^^^^^^^^^^^^^^^^^^^^^^
File "/.../agents_pg/agents/examples/Muti_Agent/software_company/../../Gradio_Config/gradio_base.py", line 64, in is_port_in_use
for conn in psutil.net_connections():
^^^^^^^^^^^^^^^^^^^^^^^^
File "/.../agents_pg/.venv/lib/python3.11/site-packages/psutil/init.py", line 2163, in net_connections
return _psplatform.net_connections(kind)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.../agents_pg/.venv/lib/python3.11/site-packages/psutil/_psosx.py", line 248, in net_connections
cons = Process(pid).connections(kind)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.../agents_pg/.venv/lib/python3.11/site-packages/psutil/_psosx.py", line 353, in wrapper
raise AccessDenied(self.pid, self._name)
psutil.AccessDenied: (pid=89569)

请问适配Azure的API如何修改。

如图所示，我尝试修改了base_llm.py中的litellm相关代码，但是function相关会报错，我这边Azure的API好像没有functionxiang相关接口。

Broken links

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Assertion Error

Great paper all though running with Gradio and on Terminal gives this error using the example configs. Have not tested with FastAPI yet.

C:\Users\bosef\agents\examples>python run.py --agent Single_Agent/customer_service/customer_websearch.json
Traceback (most recent call last):
File "C:\Users\bosef\agents\examples\run.py", line 43, in
agents,sop,environment = init(args.agent)
File "C:\Users\bosef\agents\examples\run.py", line 13, in init
sop = SOP.from_config(config)
File "C:\Users\bosef\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\SOP.py", line 72, in from_config
sop = SOP(**config)
File "C:\Users\bosef\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\SOP.py", line 44, in init
self.init_states(kwargs["states"])
File "C:\Users\bosef\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\SOP.py", line 78, in init_states
self.states[state_name] = State(**state_dict)
File "C:\Users\bosef\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\State.py", line 31, in init
self.init_components(kwargs["agent_states"])
File "C:\Users\bosef\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\State.py", line 123, in init_components
component_dict["WebSearchComponent"] = WebSearchComponent(
File "C:\Users\bosef\AppData\Local\Programs\Python\Python310\lib\site-packages\agents\Component\ToolComponent.py", line 183, in init
assert engine_name in WebSearchComponent.ENGINE_NAME
AssertionError

Running the software company demo locally raises error

Running the Muti_agent/software_company example locally, I get:

Traceback (most recent call last):
  File "/var/www/html/agents/examples/run.py", line 44, in <module>
    run(agents,sop,environment)
  File "/var/www/html/agents/examples/run.py", line 35, in run
    memory = action.process()
  File "/var/www/html/agents/examples/../src/agents/Action/base_action.py", line 39, in process
    title = extract(all,"title")
NameError: name 'extract' is not defined