-[docs]
+[docs]
class RpcAgent(AgentBase):
"""A wrapper to extend an AgentBase into a gRPC Client."""
-[docs]
+[docs]
def __init__(
self,
name: str,
@@ -239,7 +239,7 @@ Source code for agentscope.agents.rpc_agent
self.client.create_agent(self.agent_configs)
-[docs]
+[docs]
def reply(self, x: Optional[Union[Msg, Sequence[Msg]]] = None) -> Msg:
if self.client is None:
self._launch_server()
@@ -250,7 +250,7 @@ Source code for agentscope.agents.rpc_agent
-[docs]
+[docs]
def observe(self, x: Union[Msg, Sequence[Msg]]) -> None:
if self.client is None:
self._launch_server()
@@ -261,7 +261,7 @@ Source code for agentscope.agents.rpc_agent
-[docs]
+[docs]
def clone_instances(
self,
num_instances: int,
@@ -309,7 +309,7 @@ Source code for agentscope.agents.rpc_agent
-[docs]
+[docs]
def stop(self) -> None:
"""Stop the RpcAgent and the rpc server."""
if self.server_launcher is not None:
diff --git a/en/_modules/agentscope/models/dashscope_model.html b/en/_modules/agentscope/models/dashscope_model.html
index 12af993c4..a28324c92 100644
--- a/en/_modules/agentscope/models/dashscope_model.html
+++ b/en/_modules/agentscope/models/dashscope_model.html
@@ -122,7 +122,6 @@ Source code for agentscope.models.dashscope_model
from http import HTTPStatus
from typing import Any, Union, List, Sequence, Optional, Generator
-from dashscope.api_entities.dashscope_response import GenerationResponse
from loguru import logger
from ..manager import FileManager
@@ -131,8 +130,10 @@ Source code for agentscope.models.dashscope_model
try:
import dashscope
+ from dashscope.api_entities.dashscope_response import GenerationResponse
except ImportError:
dashscope = None
+ GenerationResponse = None
from .model import ModelWrapperBase, ModelResponse
@@ -173,7 +174,8 @@ Source code for agentscope.models.dashscope_model
if dashscope is None:
raise ImportError(
- "Cannot find dashscope package in current python environment.",
+ "The package 'dashscope' is not installed. Please install it "
+ "by running `pip install dashscope==1.14.1`",
)
self.generate_args = generate_args or {}
@@ -868,7 +870,7 @@ Source code for agentscope.models.dashscope_model
messages=messages,
**kwargs,
)
- # Unhandle code path here
+ # Unhandled code path here
# response could be a generator , if stream is yes
# suggest add a check here
if response.status_code != HTTPStatus.OK:
diff --git a/en/_modules/agentscope/models/ollama_model.html b/en/_modules/agentscope/models/ollama_model.html
index d46bf7f15..cbd37da91 100644
--- a/en/_modules/agentscope/models/ollama_model.html
+++ b/en/_modules/agentscope/models/ollama_model.html
@@ -124,11 +124,6 @@ Source code for agentscope.models.ollama_model
from ..models import ModelWrapperBase, ModelResponse
from ..utils.common import _convert_to_str
-try:
- import ollama
-except ImportError:
- ollama = None
-
[docs]
@@ -188,6 +183,15 @@ Source code for agentscope.models.ollama_model
self.options = options
self.keep_alive = keep_alive
+
+ try:
+ import ollama
+ except ImportError as e:
+ raise ImportError(
+ "The package ollama is not found. Please install it by "
+ 'running command `pip install "ollama>=0.1.7"`',
+ ) from e
+
self.client = ollama.Client(host=host, **kwargs)
diff --git a/en/_modules/agentscope/service/execute_code/exec_notebook.html b/en/_modules/agentscope/service/execute_code/exec_notebook.html
index f0687e49f..8c2fb0bbb 100644
--- a/en/_modules/agentscope/service/execute_code/exec_notebook.html
+++ b/en/_modules/agentscope/service/execute_code/exec_notebook.html
@@ -119,23 +119,19 @@ Source code for agentscope.service.execute_code.exec_notebook
# -*- coding: utf-8 -*-
# pylint: disable=C0301
"""Service for executing jupyter notebooks interactively
-Partially referenced the implementation of https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
-""" # noqa
+Partially referenced the implementation of
+https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
+"""
import base64
import asyncio
from loguru import logger
-
try:
- from nbclient import NotebookClient
- from nbclient.exceptions import CellTimeoutError, DeadKernelError
+ import nbclient
import nbformat
-except ImportError as import_error:
- from agentscope.utils.common import ImportErrorReporter
-
- nbclient = ImportErrorReporter(import_error)
- nbformat = ImportErrorReporter(import_error)
- NotebookClient = ImportErrorReporter(import_error)
+except ImportError:
+ nbclient = None
+ nbformat = None
from ...manager import FileManager
from ..service_status import ServiceExecStatus
@@ -188,8 +184,15 @@ Source code for agentscope.service.execute_code.exec_notebook
The timeout for each cell execution.
Default to 300.
"""
+
+ if nbclient is None or nbformat is None:
+ raise ImportError(
+ "The package nbclient or nbformat is not found. Please "
+ "install it by `pip install notebook nbclient nbformat`",
+ )
+
self.nb = nbformat.v4.new_notebook()
- self.nb_client = NotebookClient(nb=self.nb)
+ self.nb_client = nbclient.NotebookClient(nb=self.nb)
self.timeout = timeout
asyncio.run(self._start_client())
@@ -236,7 +239,7 @@ Source code for agentscope.service.execute_code.exec_notebook
async def _restart_client(self) -> None:
"""Restart the notebook client"""
await self._kill_client()
- self.nb_client = NotebookClient(self.nb, timeout=self.timeout)
+ self.nb_client = nbclient.NotebookClient(self.nb, timeout=self.timeout)
await self._start_client()
async def _run_cell(self, cell_index: int) -> ServiceResponse:
@@ -250,13 +253,13 @@ Source code for agentscope.service.execute_code.exec_notebook
for output in self.nb.cells[cell_index].outputs
],
)
- except DeadKernelError:
+ except nbclient.exceptions.DeadKernelError:
await self.reset()
return ServiceResponse(
status=ServiceExecStatus.ERROR,
content="DeadKernelError when executing cell, reset kernel",
)
- except CellTimeoutError:
+ except nbclient.exceptions.CellTimeoutError:
assert self.nb_client.km is not None
await self.nb_client.km.interrupt_kernel()
return ServiceResponse(
diff --git a/en/_modules/agentscope/service/multi_modality/dashscope_services.html b/en/_modules/agentscope/service/multi_modality/dashscope_services.html
index 94b3faede..7a1ebbaba 100644
--- a/en/_modules/agentscope/service/multi_modality/dashscope_services.html
+++ b/en/_modules/agentscope/service/multi_modality/dashscope_services.html
@@ -127,17 +127,11 @@ Source code for agentscope.service.multi_modality.dashscope_services
import os
-import dashscope
-from dashscope.audio.tts import SpeechSynthesizer
-
-from agentscope.models import (
+from ...models import (
DashScopeImageSynthesisWrapper,
DashScopeMultiModalWrapper,
)
-# SpeechSynthesizerWrapper is current not available
-
-
from ..service_response import (
ServiceResponse,
ServiceExecStatus,
@@ -385,9 +379,17 @@ Source code for agentscope.service.multi_modality.dashscope_services
> {'status': 'SUCCESS', 'content': {"audio_path": "AUDIO_PATH"}}
"""
+ try:
+ import dashscope
+ except ImportError as e:
+ raise ImportError(
+ "The package 'dashscope' is not installed. Please install it by "
+ "running `pip install dashscope==1.14.1`",
+ ) from e
+
dashscope.api_key = api_key
- res = SpeechSynthesizer.call(
+ res = dashscope.audio.tts.SpeechSynthesizer.call(
model=model,
text=text,
sample_rate=sample_rate,
diff --git a/en/_modules/agentscope/web/gradio/utils.html b/en/_modules/agentscope/web/gradio/utils.html
index 4db1fa124..69fae124d 100644
--- a/en/_modules/agentscope/web/gradio/utils.html
+++ b/en/_modules/agentscope/web/gradio/utils.html
@@ -127,8 +127,6 @@ Source code for agentscope.web.gradio.utils
from PIL import Image
-from dashscope.audio.asr import RecognitionCallback, Recognition
-
SYS_MSG_PREFIX = "【SYSTEM】"
thread_local_data = threading.local()
@@ -319,7 +317,15 @@ Source code for agentscope.web.gradio.utils
[docs]
def audio2text(audio_path: str) -> str:
"""Converts audio file at the given path to text using ASR."""
- # dashscope.api_key = ""
+
+ try:
+ from dashscope.audio.asr import RecognitionCallback, Recognition
+ except ImportError as e:
+ raise ImportError(
+ "The package dashscope is not found. Please install it by "
+ "running `pip install dashscope==1.14.1`",
+ ) from e
+
callback = RecognitionCallback()
rec = Recognition(
model="paraformer-realtime-v1",
diff --git a/en/_sources/tutorial/102-installation.md.txt b/en/_sources/tutorial/102-installation.md.txt
index e1f16d305..a39b1113c 100644
--- a/en/_sources/tutorial/102-installation.md.txt
+++ b/en/_sources/tutorial/102-installation.md.txt
@@ -41,9 +41,7 @@ If you prefer to install AgentScope from Pypi, you can do so easily using `pip`:
```bash
# For centralized multi-agent applications
-pip install agentscope --pre
-# For distributed multi-agent applications
-pip install agentscope[distribute] --pre # On Mac use `pip install agentscope\[distribute\] --pre`
+pip install agentscope
```
### Install from Source
@@ -59,10 +57,33 @@ cd agentscope
# For centralized multi-agent applications
pip install -e .
-# For distributed multi-agent applications
-pip install -e .[distribute] # On Mac use `pip install -e .\[distribute\]`
```
-**Note**: The `[distribute]` option installs additional dependencies required for distributed applications. Remember to activate your virtual environment before running these commands.
+### Extra Dependencies
+
+The supported optional dependencies for AgentScope are list as follows:
+
+- ollama: Ollama API
+- litellm: Litellm API
+- zhipuai: Zhipuai API
+- gemini: Gemini API
+- service: The dependencies for different service functions
+- distribute: The dependencies for distribution mode
+- full: All the dependencies
+
+You can install one or more of these dependencies by adding them to the installation command.
+
+#### Windows
+```bash
+pip install agentscope[gemini]
+# or
+pip install agentscope[ollama,distribute]
+```
+#### Mac & Linux
+```bash
+pip install agentscope\[gemini\]
+# or
+pip install agentscope\[ollama,distribute\]
+```
[[Return to the top]](#102-installation-en)
diff --git a/en/agentscope.agents.agent.html b/en/agentscope.agents.agent.html
index 895031e2a..f231dd4d0 100644
--- a/en/agentscope.agents.agent.html
+++ b/en/agentscope.agents.agent.html
@@ -237,7 +237,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Define the actions taken by this agent.
- Parameters:
diff --git a/en/agentscope.agents.dialog_agent.html b/en/agentscope.agents.dialog_agent.html
index 272bc418d..d15fde0c0 100644
--- a/en/agentscope.agents.dialog_agent.html
+++ b/en/agentscope.agents.dialog_agent.html
@@ -150,7 +150,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Reply function of the agent. Processes the input data,
generates a prompt using the current dialogue memory and system
prompt, and invokes the language model to produce a response. The
diff --git a/en/agentscope.agents.dict_dialog_agent.html b/en/agentscope.agents.dict_dialog_agent.html
index 0fbd63b91..7d24f087f 100644
--- a/en/agentscope.agents.dict_dialog_agent.html
+++ b/en/agentscope.agents.dict_dialog_agent.html
@@ -165,7 +165,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Reply function of the agent.
Processes the input data, generates a prompt using the current
dialogue memory and system prompt, and invokes the language
diff --git a/en/agentscope.agents.html b/en/agentscope.agents.html
index 0af9ed61c..dee235ea0 100644
--- a/en/agentscope.agents.html
+++ b/en/agentscope.agents.html
@@ -299,7 +299,7 @@
Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Define the actions taken by this agent.
- Parameters:
@@ -489,7 +489,7 @@ Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Reply function of the agent. Processes the input data,
generates a prompt using the current dialogue memory and system
prompt, and invokes the language model to produce a response. The
@@ -551,7 +551,7 @@
Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Reply function of the agent.
Processes the input data, generates a prompt using the current
dialogue memory and system prompt, and invokes the language
@@ -606,7 +606,7 @@
Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[source]
Processes the input provided by the user and stores it in memory,
potentially formatting it with additional provided details.
The method prompts the user for input, then optionally prompts for
@@ -691,7 +691,7 @@
Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
The reply method of the agent.
@@ -738,103 +738,6 @@ Submodules
--
-class agentscope.agents.RpcAgent(*args: tuple, **kwargs: dict)[source]
-Bases: AgentBase
-A wrapper to extend an AgentBase into a gRPC Client.
-
--
-__init__(name: str, host: str = 'localhost', port: int | None = None, agent_class: Type[AgentBase] | None = None, agent_configs: dict | None = None, max_pool_size: int = 8192, max_timeout_seconds: int = 7200, local_mode: bool = True, lazy_launch: bool = False, agent_id: str | None = None, connect_existing: bool = False) None[source]
-Initialize a RpcAgent instance.
-
-- Parameters:
-
-name (str) – the name of the agent.
host (str, defaults to localhost) – Hostname of the rpc agent server.
port (int, defaults to None) – Port of the rpc agent server.
agent_class (Type[AgentBase]) – the AgentBase subclass of the source agent.
agent_configs (dict) – The args used to
-init configs of the agent, generated by _AgentMeta.
max_pool_size (int, defaults to 8192) – Max number of task results that the server can accommodate.
max_timeout_seconds (int, defaults to 7200) – Timeout for task results.
local_mode (bool, defaults to True) – Whether the started gRPC server only listens to local
-requests.
lazy_launch (bool, defaults to False) – Only launch the server when the agent is called.
agent_id (str, defaults to None) – The agent id of this instance. If None, it will
-be generated randomly.
connect_existing (bool, defaults to False) – Set to True, if the agent is already running on the agent
-server.
-
-
-
-
--
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
-Define the actions taken by this agent.
-
-- Parameters:
-x (Optional[Union[Msg, Sequence[Msg]]], defaults to None) – The input message(s) to the agent, which also can be omitted if
-the agent doesn’t need any input.
-- Returns:
-The output message generated by the agent.
-- Return type:
-Msg
-
-
-Note
-Given that some agents are in an adversarial environment,
-their input doesn’t include the thoughts of other agents.
-
-
-
-
--
-observe(x: Msg | Sequence[Msg]) None[source]
-Observe the input, store it in memory without response to it.
-
-- Parameters:
-x (Union[Msg, Sequence[Msg]]) – The input message to be recorded in memory.
-
-
-
-
--
-clone_instances(num_instances: int, including_self: bool = True) Sequence[AgentBase][source]
-Clone a series of this instance with different agent_id and
-return them as a list.
-
-- Parameters:
-
-num_instances (int) – The number of instances in the returned
list. (this method in the returned)
including_self (bool) – Whether to include the instance calling
list.
-- Returns:
-A list of agent instances.
-- Return type:
-Sequence[AgentBase]
-
-
-
-
-
-
-
-
class agentscope.agents.LlamaIndexAgent(*args: tuple, **kwargs: dict)[source]
@@ -879,7 +782,7 @@ Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Reply function of the RAG agent.
Processes the input data,
1) use the input data to retrieve with RAG function;
diff --git a/en/agentscope.agents.rag_agent.html b/en/agentscope.agents.rag_agent.html
index 67c519d97..df74c2673 100644
--- a/en/agentscope.agents.rag_agent.html
+++ b/en/agentscope.agents.rag_agent.html
@@ -170,7 +170,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Reply function of the RAG agent.
Processes the input data,
1) use the input data to retrieve with RAG function;
diff --git a/en/agentscope.agents.react_agent.html b/en/agentscope.agents.react_agent.html
index 009e4752f..cadb928eb 100644
--- a/en/agentscope.agents.react_agent.html
+++ b/en/agentscope.agents.react_agent.html
@@ -168,7 +168,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
The reply method of the agent.
diff --git a/en/agentscope.agents.rpc_agent.html b/en/agentscope.agents.rpc_agent.html
index 4031246d0..5ef5f5d6f 100644
--- a/en/agentscope.agents.rpc_agent.html
+++ b/en/agentscope.agents.rpc_agent.html
@@ -158,7 +158,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[source]
Define the actions taken by this agent.
- Parameters:
diff --git a/en/agentscope.agents.user_agent.html b/en/agentscope.agents.user_agent.html
index 6217184cc..8e1642c1c 100644
--- a/en/agentscope.agents.user_agent.html
+++ b/en/agentscope.agents.user_agent.html
@@ -153,7 +153,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[source]
+reply(x: Msg | Sequence[Msg] | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[source]
Processes the input provided by the user and stores it in memory,
potentially formatting it with additional provided details.
The method prompts the user for input, then optionally prompts for
diff --git a/en/agentscope.html b/en/agentscope.html
index 426652242..9283c56a2 100644
--- a/en/agentscope.html
+++ b/en/agentscope.html
@@ -207,14 +207,6 @@
SubpackagesDistConf.__init__()
-
RpcAgent
-LlamaIndexAgent
LlamaIndexAgent.__init__()LlamaIndexAgent.reply()Submodules
-
-agentscope.msghub(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None) MsgHubManager[source]
+agentscope.msghub(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None) MsgHubManager[source]
msghub is used to share messages among a group of agents.
- Parameters:
diff --git a/en/agentscope.message.html b/en/agentscope.message.html
index 85a9a9233..6321e98df 100644
--- a/en/agentscope.message.html
+++ b/en/agentscope.message.html
@@ -314,12 +314,12 @@ Submodules
-
-class agentscope.message.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None)[source]
+class agentscope.message.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None)[source]
Bases: Msg
A placeholder for the return message of RpcAgent.
-
-__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None) None[source]
+__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None) None[source]
A placeholder message, records the address of the real message.
- Parameters:
diff --git a/en/agentscope.message.placeholder.html b/en/agentscope.message.placeholder.html
index 6c41a7a39..e1fe6ff3e 100644
--- a/en/agentscope.message.placeholder.html
+++ b/en/agentscope.message.placeholder.html
@@ -126,12 +126,12 @@
The placeholder message for RpcAgent.
-
-class agentscope.message.placeholder.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None)[source]
+class agentscope.message.placeholder.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None)[source]
Bases: Msg
A placeholder for the return message of RpcAgent.
-
-__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None) None[source]
+__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None) None[source]
A placeholder message, records the address of the real message.
- Parameters:
diff --git a/en/agentscope.msghub.html b/en/agentscope.msghub.html
index 849e10e69..821fd864e 100644
--- a/en/agentscope.msghub.html
+++ b/en/agentscope.msghub.html
@@ -126,12 +126,12 @@
MsgHub is designed to share messages among a group of agents.
-
-class agentscope.msghub.MsgHubManager(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None)[source]
+class agentscope.msghub.MsgHubManager(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None)[source]
Bases: object
MsgHub manager class for sharing dialog among a group of agents.
-
-__init__(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None) None[source]
+__init__(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None) None[source]
Initialize a msghub manager from the given arguments.
- Parameters:
@@ -173,7 +173,7 @@
-
-agentscope.msghub.msghub(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None) MsgHubManager[source]
+agentscope.msghub.msghub(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None) MsgHubManager[source]
msghub is used to share messages among a group of agents.
- Parameters:
diff --git a/en/agentscope.service.execute_code.exec_notebook.html b/en/agentscope.service.execute_code.exec_notebook.html
index 6516c43c3..9b8ec7ad9 100644
--- a/en/agentscope.service.execute_code.exec_notebook.html
+++ b/en/agentscope.service.execute_code.exec_notebook.html
@@ -126,7 +126,8 @@
agentscope.service.execute_code.exec_notebook module
Service for executing jupyter notebooks interactively
-Partially referenced the implementation of https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
+Partially referenced the implementation of
+https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
-
class agentscope.service.execute_code.exec_notebook.NoteBookExecutor(timeout: int = 300)[source]
diff --git a/en/genindex.html b/en/genindex.html
index c1718772f..190916dba 100644
--- a/en/genindex.html
+++ b/en/genindex.html
@@ -173,8 +173,6 @@ _
- (agentscope.agents.ReActAgent method)
- (agentscope.agents.rpc_agent.RpcAgent method)
-
- - (agentscope.agents.RpcAgent method)
- (agentscope.agents.user_agent.UserAgent method)
@@ -1397,11 +1395,7 @@ C
- clone_instances() (agentscope.agents.rpc_agent.RpcAgent method)
-
-
- close() (agentscope.service.browser.web_browser.WebBrowser method)
@@ -3057,8 +3051,6 @@ O
- (agentscope.agents.AgentBase method)
- (agentscope.agents.rpc_agent.RpcAgent method)
-
- - (agentscope.agents.RpcAgent method)
- OllamaChatWrapper (class in agentscope.models)
@@ -3411,8 +3403,6 @@
R
- (agentscope.agents.ReActAgent method)
- (agentscope.agents.rpc_agent.RpcAgent method)
-
- - (agentscope.agents.RpcAgent method)
- (agentscope.agents.user_agent.UserAgent method)
@@ -3495,11 +3485,9 @@ R
- (agentscope.message.PlaceholderMessage property)
- - RpcAgent (class in agentscope.agents)
+
- RpcAgent (class in agentscope.agents.rpc_agent)
@@ -3658,11 +3646,11 @@ S
- show_image_tokens() (agentscope.manager.MonitorManager method)
- show_text_and_embedding_tokens() (agentscope.manager.MonitorManager method)
-
- - ShrinkPolicy (class in agentscope.constants)
+ - ShrinkPolicy (class in agentscope.constants)
+
- shutdown() (agentscope.server.launcher.RpcAgentServerLauncher method)
@@ -3712,8 +3700,6 @@ S
- stop() (agentscope.agents.rpc_agent.RpcAgent method)
- - (agentscope.agents.RpcAgent method)
-
- (agentscope.rpc.rpc_agent_client.RpcAgentClient method)
- (agentscope.rpc.rpc_agent_pb2_grpc.RpcAgent static method)
diff --git a/en/objects.inv b/en/objects.inv
index 1c2beb94e..fc9ff603d 100644
Binary files a/en/objects.inv and b/en/objects.inv differ
diff --git a/en/searchindex.js b/en/searchindex.js
index caa57e772..75b93af86 100644
--- a/en/searchindex.js
+++ b/en/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"(Optional) Setting up a local embedding model service": [[124, "optional-setting-up-a-local-embedding-model-service"]], "A Quick Introduction to RAG in AgentScope": [[124, null]], "About AgentScope": [[107, null]], "About Dashboard": [[122, "about-dashboard"]], "About Memory": [[118, "about-memory"]], "About Message": [[118, "about-message"]], "About Server Manager": [[122, "about-server-manager"]], "About Service Toolkit": [[117, "about-service-toolkit"]], "About ServiceResponse": [[117, "about-serviceresponse"]], "About Workstation": [[122, "about-workstation"]], "Actor Model": [[121, "actor-model"]], "Adding and Deleting Participants": [[113, "adding-and-deleting-participants"]], "Advanced Usage": [[116, "advanced-usage"], [121, "advanced-usage"]], "Agent": [[107, "agent"], [112, null]], "Agent Server": [[121, "agent-server"]], "AgentScope API Reference": [[105, null]], "AgentScope Code Structure": [[107, "agentscope-code-structure"]], "AgentScope Documentation": [[105, null]], "AgentScope Studio": [[122, null]], "Agents List": [[122, "agents-list"]], "Background": [[115, "background"], [123, "background"]], "Basic Parameters": [[114, "basic-parameters"]], "Broadcast message in MsgHub": [[113, "broadcast-message-in-msghub"]], "Build Model Service from Scratch": [[114, "build-model-service-from-scratch"]], "Build Your Application": [[122, "build-your-application"]], "Built-in Prompt Strategies": [[119, "built-in-prompt-strategies"]], "Built-in Service Functions": [[117, "built-in-service-functions"]], "Category": [[113, "category"]], "Challenges in Prompt Construction": [[119, "challenges-in-prompt-construction"]], "Check Your Application": [[122, "check-your-application"]], "Child Process Mode": [[121, "child-process-mode"]], "Code Review": [[127, "code-review"]], "Commit Your Changes": [[127, "commit-your-changes"]], "Configuration": [[114, "configuration"]], "Configuration Format": [[114, "configuration-format"]], "Connecting to AgentScope Studio": [[121, "connecting-to-agentscope-studio"]], "Contribute to AgentScope": [[127, null]], "Contribute to Codebase": [[127, "contribute-to-codebase"]], "Creat Your Own Model Wrapper": [[114, "creat-your-own-model-wrapper"]], "Create a New Branch": [[127, "create-a-new-branch"]], "Create a Virtual Environment": [[108, "create-a-virtual-environment"]], "Create new Service Function": [[117, "create-new-service-function"]], "Creating a MsgHub": [[113, "creating-a-msghub"]], "Customized Parser": [[115, "customized-parser"]], "Customizing Agents from the AgentPool": [[112, "customizing-agents-from-the-agentpool"]], "DashScope API": [[114, "dashscope-api"]], "DashScopeChatWrapper": [[119, "dashscopechatwrapper"]], "DashScopeMultiModalWrapper": [[119, "dashscopemultimodalwrapper"]], "Detailed Parameters": [[114, "detailed-parameters"]], "DialogAgent": [[112, "dialogagent"]], "Dictionary Type": [[115, "dictionary-type"]], "DingTalk (\u9489\u9489)": [[126, "dingtalk"]], "Discord": [[126, "discord"]], "Distribution": [[121, null]], "Example": [[117, "example"]], "Example: Werewolf Game": [[110, null]], "Explore Built-in Examples": [[122, "explore-built-in-examples"]], "Exploring the AgentPool": [[112, "exploring-the-agentpool"]], "ForLoopPipeline": [[113, "forlooppipeline"]], "Fork and Clone the Repository": [[127, "fork-and-clone-the-repository"]], "Format Instruction Template": [[115, "format-instruction-template"]], "Gemini API": [[114, "gemini-api"]], "GeminiChatWrapper": [[119, "geminichatwrapper"]], "Generation": [[123, "generation"]], "Generation with In Context Learning": [[123, "generation-with-in-context-learning"]], "Get Involved": [[128, null]], "Getting Involved": [[105, "getting-involved"], [129, "getting-involved"]], "Getting Started": [[110, "getting-started"]], "GitHub": [[126, "github"]], "Guidance": [[125, "guidance"]], "How is AgentScope designed?": [[107, "how-is-agentscope-designed"]], "How to create a Knowledge object": [[124, "how-to-create-a-knowledge-object"]], "How to use": [[117, "how-to-use"]], "How to use Service Functions": [[117, "how-to-use-service-functions"]], "How to use a Knowledge object": [[124, "how-to-use-a-knowledge-object"]], "IfElsePipeline": [[113, "ifelsepipeline"]], "Implement Werewolf Pipeline": [[110, "implement-werewolf-pipeline"]], "Implementation": [[121, "implementation"]], "Import Running Histories": [[122, "import-running-histories"]], "Import or Export Your Application": [[122, "import-or-export-your-application"]], "In Model Calling": [[116, "in-model-calling"]], "In Model Configuration": [[116, "in-model-configuration"]], "Independent Process Mode": [[121, "independent-process-mode"]], "Initialization": [[115, "initialization"], [115, "id1"], [123, "initialization"], [123, "id1"]], "Initialization & Format Instruction Template": [[115, "initialization-format-instruction-template"], [115, "id2"], [115, "id4"]], "Install from Source": [[108, "install-from-source"]], "Install with Pip": [[108, "install-with-pip"]], "Installation": [[108, null]], "Installing AgentScope": [[108, "installing-agentscope"]], "JSON / Python Object Type": [[115, "json-python-object-type"]], "Joining AgentScope Community": [[126, null]], "Key Concepts": [[107, "key-concepts"]], "Knowledge": [[124, "knowledge"]], "Knowledge Bank": [[124, "knowledge-bank"]], "Leverage Pipeline and MsgHub": [[110, "leverage-pipeline-and-msghub"]], "LiteLLM Chat API": [[114, "litellm-chat-api"]], "LiteLLMChatWrapper": [[119, "litellmchatwrapper"]], "Logging": [[111, null], [111, "id1"]], "Logging a Chat Message": [[111, "logging-a-chat-message"]], "Logging a System information": [[111, "logging-a-system-information"]], "Making Changes": [[127, "making-changes"]], "Manage your agent server processes": [[121, "manage-your-agent-server-processes"]], "Managing Server Process": [[122, "managing-server-process"]], "MarkdownCodeBlockParser": [[115, "markdowncodeblockparser"]], "MarkdownJsonDictParser": [[115, "markdownjsondictparser"]], "MarkdownJsonObjectParser": [[115, "markdownjsonobjectparser"]], "Memory": [[118, null]], "Memory List": [[122, "memory-list"]], "MemoryBase Class": [[118, "memorybase-class"]], "Message": [[107, "message"]], "MessageBase Class": [[118, "messagebase-class"]], "Model": [[114, null]], "Module contents": [[0, "module-agentscope"], [1, "module-agentscope.agents"], [13, "module-agentscope.manager"], [14, "module-agentscope.memory"], [17, "module-agentscope.message"], [20, "module-agentscope.models"], [32, "module-agentscope.parsers"], [38, "module-agentscope.pipelines"], [41, "module-agentscope.prompt"], [42, "module-agentscope.rag"], [46, "module-agentscope.rpc"], [51, "module-agentscope.server"], [54, "module-agentscope.service"], [55, "module-agentscope.service.browser"], [57, "module-agentscope.service.execute_code"], [61, "module-agentscope.service.file"], [65, "module-agentscope.service.multi_modality"], [68, "module-agentscope.service.retrieval"], [74, "module-agentscope.service.sql_query"], [78, "module-agentscope.service.text_processing"], [80, "module-agentscope.service.web"], [88, "module-agentscope.strategy"], [90, "module-agentscope.studio"], [92, "module-agentscope.utils"], [95, "module-agentscope.web"], [96, "module-agentscope.web.gradio"], [100, "module-agentscope.web.workstation"]], "Monitor": [[120, null]], "More about knowledge configurations": [[124, "more-about-knowledge-configurations"]], "More details inside LlamaIndexKnowledge": [[124, "more-details-inside-llamaindexknowledge"]], "Msg Class": [[118, "msg-class"]], "MsgHub": [[113, "msghub"]], "MultiTaggedContentParser": [[115, "multitaggedcontentparser"]], "Non-Vision Models": [[119, "non-vision-models"]], "Note": [[122, "note"]], "Ollama API": [[114, "ollama-api"]], "OllamaChatWrapper": [[119, "ollamachatwrapper"]], "OllamaGenerationWrapper": [[119, "ollamagenerationwrapper"]], "OpenAI API": [[114, "openai-api"]], "OpenAIChatWrapper": [[119, "openaichatwrapper"]], "Overview": [[115, "overview"]], "Parse Function": [[115, "parse-function"], [115, "id3"], [115, "id5"]], "Parser": [[110, "parser"]], "Parser Module": [[115, "parser-module"]], "Parsers": [[115, "parsers"]], "Pipeline Combination": [[113, "pipeline-combination"]], "Pipeline and MsgHub": [[113, null]], "Pipelines": [[113, "pipelines"]], "PlaceHolder": [[121, "placeholder"]], "Post Request API": [[114, "post-request-api"]], "Prerequisites": [[125, "prerequisites"]], "Printing in Streaming Mode": [[116, "printing-in-streaming-mode"]], "Prompt Engineering": [[119, null]], "Prompt Strategy": [[119, "prompt-strategy"], [119, "id1"], [119, "id2"], [119, "id3"], [119, "id4"], [119, "id5"], [119, "id6"], [119, "id7"]], "Quick Start": [[109, null], [122, "quick-start"]], "RAG agent": [[124, "rag-agent"]], "ReAct Agent and Tool Usage": [[115, "react-agent-and-tool-usage"]], "RegexTaggedContentParser": [[115, "regextaggedcontentparser"]], "Register Running Application": [[122, "register-running-application"]], "Registering Server Process": [[122, "registering-server-process"]], "Report Bugs and Ask For New Features?": [[127, "report-bugs-and-ask-for-new-features"]], "Response Parser": [[115, null]], "Run Your Application": [[122, "run-your-application"]], "SequentialPipeline": [[113, "sequentialpipeline"]], "Servers List": [[122, "servers-list"]], "Service": [[107, "service"]], "Setting Up the Logger": [[111, "setting-up-the-logger"]], "Setup Streaming Mode": [[116, "setup-streaming-mode"]], "Start AgentScope Studio": [[122, "start-agentscope-studio"]], "Step 1: Convert your agent to its distributed version": [[121, "step-1-convert-your-agent-to-its-distributed-version"]], "Step 1: Prepare Model API and Set Model Configs": [[110, "step-1-prepare-model-api-and-set-model-configs"]], "Step 2: Define the Roles of Each Agent": [[110, "step-2-define-the-roles-of-each-agent"]], "Step 2: Orchestrate Distributed Application Flow": [[121, "step-2-orchestrate-distributed-application-flow"]], "Step 3: Initialize AgentScope and the Agents": [[110, "step-3-initialize-agentscope-and-the-agents"]], "Step 4: Set Up the Game Logic": [[110, "step-4-set-up-the-game-logic"]], "Step 5: Run the Application": [[110, "step-5-run-the-application"]], "Step1: Prepare Model": [[109, "step1-prepare-model"]], "Step2: Create Agents": [[109, "step2-create-agents"]], "Step3: Agent Conversation": [[109, "step3-agent-conversation"]], "Streaming": [[116, null]], "String Type": [[115, "string-type"]], "Submit a Pull Request": [[127, "submit-a-pull-request"]], "Submodules": [[0, "submodules"], [1, "submodules"], [14, "submodules"], [17, "submodules"], [20, "submodules"], [32, "submodules"], [38, "submodules"], [42, "submodules"], [46, "submodules"], [51, "submodules"], [54, "submodules"], [55, "submodules"], [57, "submodules"], [61, "submodules"], [65, "submodules"], [68, "submodules"], [74, "submodules"], [78, "submodules"], [80, "submodules"], [88, "submodules"], [90, "submodules"], [92, "submodules"], [96, "submodules"], [100, "submodules"]], "Subpackages": [[0, "subpackages"], [54, "subpackages"], [95, "subpackages"]], "Supported Models": [[114, "supported-models"]], "SwitchPipeline": [[113, "switchpipeline"]], "System Prompt Comparer": [[123, "system-prompt-comparer"]], "System Prompt Generator": [[123, "system-prompt-generator"]], "System Prompt Optimization": [[123, null]], "System Prompt Optimizer": [[123, "system-prompt-optimizer"]], "Table of Contents": [[115, "table-of-contents"], [123, "table-of-contents"]], "TemporaryMemory": [[118, "temporarymemory"]], "Tool": [[117, null]], "Tutorial Navigator": [[105, "tutorial-navigator"], [129, "tutorial-navigator"]], "Typical Use Cases": [[115, "typical-use-cases"]], "Understanding AgentBase": [[112, "understanding-agentbase"]], "Usage": [[113, "usage"], [113, "id1"], [121, "usage"]], "UserAgent": [[112, "useragent"]], "Using Conda": [[108, "using-conda"]], "Using LlamaIndexKnowledge as an example": [[124, "using-llamaindexknowledge-as-an-example"]], "Using Virtualenv": [[108, "using-virtualenv"]], "Validation": [[115, "validation"]], "Vision Models": [[119, "vision-models"]], "Web Browser Control": [[125, null]], "Welcome to AgentScope Tutorial": [[105, "welcome-to-agentscope-tutorial"], [129, null]], "WereWolf Game": [[115, "werewolf-game"]], "What is AgentScope?": [[107, "what-is-agentscope"]], "WhileLoopPipeline": [[113, "whilelooppipeline"]], "Why AgentScope?": [[107, "why-agentscope"]], "Work with Agent": [[125, "work-with-agent"]], "Workflow": [[107, "workflow"]], "ZhipuAI API": [[114, "zhipuai-api"]], "ZhipuAIChatWrapper": [[119, "zhipuaichatwrapper"]], "agentscope": [[106, null]], "agentscope package": [[0, null]], "agentscope.agents package": [[1, null]], "agentscope.agents.agent module": [[2, null]], "agentscope.agents.dialog_agent module": [[3, null]], "agentscope.agents.dict_dialog_agent module": [[4, null]], "agentscope.agents.operator module": [[5, null]], "agentscope.agents.rag_agent module": [[6, null]], "agentscope.agents.react_agent module": [[7, null]], "agentscope.agents.rpc_agent module": [[8, null]], "agentscope.agents.user_agent module": [[9, null]], "agentscope.constants module": [[10, null]], "agentscope.exception module": [[11, null]], "agentscope.logging module": [[12, null]], "agentscope.manager package": [[13, null]], "agentscope.memory package": [[14, null]], "agentscope.memory.memory module": [[15, null]], "agentscope.memory.temporary_memory module": [[16, null]], "agentscope.message package": [[17, null]], "agentscope.message.msg module": [[18, null]], "agentscope.message.placeholder module": [[19, null]], "agentscope.models package": [[20, null]], "agentscope.models.dashscope_model module": [[21, null]], "agentscope.models.gemini_model module": [[22, null]], "agentscope.models.litellm_model module": [[23, null]], "agentscope.models.model module": [[24, null]], "agentscope.models.ollama_model module": [[25, null]], "agentscope.models.openai_model module": [[26, null]], "agentscope.models.post_model module": [[27, null]], "agentscope.models.response module": [[28, null]], "agentscope.models.yi_model module": [[29, null]], "agentscope.models.zhipu_model module": [[30, null]], "agentscope.msghub module": [[31, null]], "agentscope.parsers package": [[32, null]], "agentscope.parsers.code_block_parser module": [[33, null]], "agentscope.parsers.json_object_parser module": [[34, null]], "agentscope.parsers.parser_base module": [[35, null]], "agentscope.parsers.regex_tagged_content_parser module": [[36, null]], "agentscope.parsers.tagged_content_parser module": [[37, null]], "agentscope.pipelines package": [[38, null]], "agentscope.pipelines.functional module": [[39, null]], "agentscope.pipelines.pipeline module": [[40, null]], "agentscope.prompt package": [[41, null]], "agentscope.rag package": [[42, null]], "agentscope.rag.knowledge module": [[43, null]], "agentscope.rag.knowledge_bank module": [[44, null]], "agentscope.rag.llama_index_knowledge module": [[45, null]], "agentscope.rpc package": [[46, null]], "agentscope.rpc.rpc_agent_client module": [[47, null]], "agentscope.rpc.rpc_agent_pb2 module": [[48, null]], "agentscope.rpc.rpc_agent_pb2_grpc module": [[49, null]], "agentscope.serialize module": [[50, null]], "agentscope.server package": [[51, null]], "agentscope.server.launcher module": [[52, null]], "agentscope.server.servicer module": [[53, null]], "agentscope.service package": [[54, null]], "agentscope.service.browser package": [[55, null]], "agentscope.service.browser.web_browser module": [[56, null]], "agentscope.service.execute_code package": [[57, null]], "agentscope.service.execute_code.exec_notebook module": [[58, null]], "agentscope.service.execute_code.exec_python module": [[59, null]], "agentscope.service.execute_code.exec_shell module": [[60, null]], "agentscope.service.file package": [[61, null]], "agentscope.service.file.common module": [[62, null]], "agentscope.service.file.json module": [[63, null]], "agentscope.service.file.text module": [[64, null]], "agentscope.service.multi_modality package": [[65, null]], "agentscope.service.multi_modality.dashscope_services module": [[66, null]], "agentscope.service.multi_modality.openai_services module": [[67, null]], "agentscope.service.retrieval package": [[68, null]], "agentscope.service.retrieval.retrieval_from_list module": [[69, null]], "agentscope.service.retrieval.similarity module": [[70, null]], "agentscope.service.service_response module": [[71, null]], "agentscope.service.service_status module": [[72, null]], "agentscope.service.service_toolkit module": [[73, null]], "agentscope.service.sql_query package": [[74, null]], "agentscope.service.sql_query.mongodb module": [[75, null]], "agentscope.service.sql_query.mysql module": [[76, null]], "agentscope.service.sql_query.sqlite module": [[77, null]], "agentscope.service.text_processing package": [[78, null]], "agentscope.service.text_processing.summarization module": [[79, null]], "agentscope.service.web package": [[80, null]], "agentscope.service.web.arxiv module": [[81, null]], "agentscope.service.web.dblp module": [[82, null]], "agentscope.service.web.download module": [[83, null]], "agentscope.service.web.search module": [[84, null]], "agentscope.service.web.tripadvisor module": [[85, null]], "agentscope.service.web.web_digest module": [[86, null]], "agentscope.service.web.wikipedia module": [[87, null]], "agentscope.strategy package": [[88, null]], "agentscope.strategy.mixture_of_agent module": [[89, null]], "agentscope.studio package": [[90, null]], "agentscope.studio.utils module": [[91, null]], "agentscope.utils package": [[92, null]], "agentscope.utils.common module": [[93, null]], "agentscope.utils.token_utils module": [[94, null]], "agentscope.web package": [[95, null]], "agentscope.web.gradio package": [[96, null]], "agentscope.web.gradio.constants module": [[97, null]], "agentscope.web.gradio.studio module": [[98, null]], "agentscope.web.gradio.utils module": [[99, null]], "agentscope.web.workstation package": [[100, null]], "agentscope.web.workstation.workflow module": [[101, null]], "agentscope.web.workstation.workflow_dag module": [[102, null]], "agentscope.web.workstation.workflow_node module": [[103, null]], "agentscope.web.workstation.workflow_utils module": [[104, null]], "to_dist with lower cost": [[121, "to-dist-with-lower-cost"]], "}": [[20, "id53"], [30, "id9"], [32, "id19"], [36, "id3"]]}, "docnames": ["agentscope", "agentscope.agents", "agentscope.agents.agent", "agentscope.agents.dialog_agent", "agentscope.agents.dict_dialog_agent", "agentscope.agents.operator", "agentscope.agents.rag_agent", "agentscope.agents.react_agent", "agentscope.agents.rpc_agent", "agentscope.agents.user_agent", "agentscope.constants", "agentscope.exception", "agentscope.logging", "agentscope.manager", "agentscope.memory", "agentscope.memory.memory", "agentscope.memory.temporary_memory", "agentscope.message", "agentscope.message.msg", "agentscope.message.placeholder", "agentscope.models", "agentscope.models.dashscope_model", "agentscope.models.gemini_model", "agentscope.models.litellm_model", "agentscope.models.model", "agentscope.models.ollama_model", "agentscope.models.openai_model", "agentscope.models.post_model", "agentscope.models.response", "agentscope.models.yi_model", "agentscope.models.zhipu_model", "agentscope.msghub", "agentscope.parsers", "agentscope.parsers.code_block_parser", "agentscope.parsers.json_object_parser", "agentscope.parsers.parser_base", "agentscope.parsers.regex_tagged_content_parser", "agentscope.parsers.tagged_content_parser", "agentscope.pipelines", "agentscope.pipelines.functional", "agentscope.pipelines.pipeline", "agentscope.prompt", "agentscope.rag", "agentscope.rag.knowledge", "agentscope.rag.knowledge_bank", "agentscope.rag.llama_index_knowledge", 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\ No newline at end of file
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"agentscope.service.execute_code.exec_python module", "agentscope.service.execute_code.exec_shell module", "agentscope.service.file package", "agentscope.service.file.common module", "agentscope.service.file.json module", "agentscope.service.file.text module", "agentscope.service.multi_modality package", "agentscope.service.multi_modality.dashscope_services module", "agentscope.service.multi_modality.openai_services module", "agentscope.service.retrieval package", "agentscope.service.retrieval.retrieval_from_list module", "agentscope.service.retrieval.similarity module", "agentscope.service.service_response module", "agentscope.service.service_status module", "agentscope.service.service_toolkit module", "agentscope.service.sql_query package", "agentscope.service.sql_query.mongodb module", "agentscope.service.sql_query.mysql module", "agentscope.service.sql_query.sqlite module", "agentscope.service.text_processing package", "agentscope.service.text_processing.summarization module", "agentscope.service.web package", "agentscope.service.web.arxiv module", "agentscope.service.web.dblp module", "agentscope.service.web.download module", "agentscope.service.web.search module", "agentscope.service.web.tripadvisor module", "agentscope.service.web.web_digest module", "agentscope.service.web.wikipedia module", "agentscope.strategy package", "agentscope.strategy.mixture_of_agent module", "agentscope.studio package", "agentscope.studio.utils module", "agentscope.utils package", "agentscope.utils.common module", "agentscope.utils.token_utils module", "agentscope.web package", "agentscope.web.gradio package", "agentscope.web.gradio.constants module", "agentscope.web.gradio.studio module", "agentscope.web.gradio.utils module", "agentscope.web.workstation package", "agentscope.web.workstation.workflow module", "agentscope.web.workstation.workflow_dag module", "agentscope.web.workstation.workflow_node module", "agentscope.web.workstation.workflow_utils module", "AgentScope Documentation", "agentscope", "About AgentScope", "Installation", "Quick Start", "Example: Werewolf Game", "Logging", "Agent", "Pipeline and MsgHub", "Model", "Response Parser", "Streaming", "Tool", "Memory", "Prompt Engineering", "Monitor", "Distribution", "AgentScope Studio", "System Prompt Optimization", "A Quick Introduction to RAG in AgentScope", "Web Browser Control", "Joining AgentScope Community", "Contribute to AgentScope", "Get Involved", "Welcome to AgentScope Tutorial"], "titleterms": {"1": [110, 121], "2": [110, 121], "3": 110, "4": 110, "5": 110, "A": 124, "For": 127, "In": [116, 123], "about": [107, 117, 118, 122, 124], "actor": 121, "ad": 113, "advanc": [116, 121], "agent": [1, 2, 3, 4, 5, 6, 7, 8, 9, 107, 109, 110, 112, 115, 121, 122, 124, 125], "agentbas": 112, "agentpool": 112, "agentscop": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 121, 122, 124, 126, 127, 129], "an": 124, "api": [105, 110, 114], "applic": [110, 121, 122], "arxiv": 81, "ask": 127, "background": [115, 123], "bank": 124, "basic": 114, "branch": 127, "broadcast": 113, "browser": [55, 56, 125], "bug": 127, "build": [114, 122], "built": [117, 119, 122], "call": 116, "case": 115, "categori": 113, "challeng": 119, "chang": 127, "chat": [111, 114], "check": 122, "child": 121, "class": 118, "clone": 127, "code": [107, 127], "code_block_pars": 33, "codebas": 127, "combin": 113, "commit": 127, "common": [62, 93], "commun": 126, "compar": 123, "concept": 107, "conda": 108, "config": 110, "configur": [114, 116, 124], "connect": 121, "constant": [10, 97], "construct": 119, "content": [0, 1, 13, 14, 17, 20, 32, 38, 41, 42, 46, 51, 54, 55, 57, 61, 65, 68, 74, 78, 80, 88, 90, 92, 95, 96, 100, 115, 123], "context": 123, "contribut": 127, "control": 125, "convers": 109, "convert": 121, "cost": 121, "creat": [108, 109, 113, 114, 117, 124, 127], "custom": [112, 115], "dashboard": 122, "dashscop": 114, "dashscope_model": 21, "dashscope_servic": 66, "dashscopechatwrapp": 119, "dashscopemultimodalwrapp": 119, "dblp": 82, "defin": 110, "delet": 113, "depend": 108, "design": 107, "detail": [114, 124], "dialog_ag": 3, "dialogag": 112, "dict_dialog_ag": 4, "dictionari": 115, "dingtalk": 126, "discord": 126, "distribut": 121, "document": 105, "download": 83, "each": 110, "embed": 124, "engin": 119, "environ": 108, "exampl": [110, 117, 122, 124], "except": 11, "exec_notebook": 58, "exec_python": 59, "exec_shel": 60, "execute_cod": [57, 58, 59, 60], "explor": [112, 122], "export": 122, "extra": 108, "featur": 127, "file": [61, 62, 63, 64], "flow": 121, "fork": 127, "forlooppipelin": 113, "format": [114, 115], "from": [108, 112, 114], "function": [39, 115, 117], "game": [110, 115], "gemini": 114, "gemini_model": 22, "geminichatwrapp": 119, "gener": 123, "get": [105, 110, 128, 129], "github": 126, "gradio": [96, 97, 98, 99], "guidanc": 125, "histori": 122, "how": [107, 117, 124], "i": 107, "ifelsepipelin": 113, "implement": [110, 121], "import": 122, "independ": 121, "inform": 111, "initi": [110, 115, 123], "insid": 124, "instal": 108, "instruct": 115, "introduct": 124, "involv": [105, 128, 129], "its": 121, "join": 126, "json": [63, 115], "json_object_pars": 34, "kei": 107, "knowledg": [43, 124], "knowledge_bank": 44, "launcher": 52, "learn": 123, "leverag": 110, "linux": 108, "list": 122, "litellm": 114, "litellm_model": 23, "litellmchatwrapp": 119, "llama_index_knowledg": 45, "llamaindexknowledg": 124, "local": 124, "log": [12, 111], "logger": 111, "logic": 110, "lower": 121, "mac": 108, "make": 127, "manag": [13, 121, 122], "markdowncodeblockpars": 115, "markdownjsondictpars": 115, "markdownjsonobjectpars": 115, "memori": [14, 15, 16, 118, 122], "memorybas": 118, "messag": [17, 18, 19, 107, 111, 113, 118], "messagebas": 118, "mixture_of_ag": 89, "mode": [116, 121], "model": [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 109, 110, 114, 116, 119, 121, 124], "modul": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 115], "mongodb": 75, "monitor": 120, "more": 124, "msg": [18, 118], "msghub": [31, 110, 113], "multi_mod": [65, 66, 67], "multitaggedcontentpars": 115, "mysql": 76, "navig": [105, 129], "new": [117, 127], "non": 119, "note": 122, "object": [115, 124], "ollama": 114, "ollama_model": 25, "ollamachatwrapp": 119, "ollamagenerationwrapp": 119, "openai": 114, "openai_model": 26, "openai_servic": 67, "openaichatwrapp": 119, "oper": 5, "optim": 123, "option": 124, "orchestr": 121, "overview": 115, "own": 114, "packag": [0, 1, 13, 14, 17, 20, 32, 38, 41, 42, 46, 51, 54, 55, 57, 61, 65, 68, 74, 78, 80, 88, 90, 92, 95, 96, 100], "paramet": 114, "pars": 115, "parser": [32, 33, 34, 35, 36, 37, 110, 115], "parser_bas": 35, "particip": 113, "pip": 108, "pipelin": [38, 39, 40, 110, 113], "placehold": [19, 121], "post": 114, "post_model": 27, "prepar": [109, 110], "prerequisit": 125, "print": 116, "process": [121, 122], "prompt": [41, 119, 123], "pull": 127, "python": 115, "quick": [109, 122, 124], "rag": [42, 43, 44, 45, 124], "rag_ag": 6, "react": 115, "react_ag": 7, "refer": 105, "regex_tagged_content_pars": 36, "regextaggedcontentpars": 115, "regist": 122, "report": 127, "repositori": 127, "request": [114, 127], "respons": [28, 115], "retriev": [68, 69, 70], "retrieval_from_list": 69, "review": 127, "role": 110, "rpc": [46, 47, 48, 49], "rpc_agent": 8, "rpc_agent_cli": 47, "rpc_agent_pb2": 48, "rpc_agent_pb2_grpc": 49, "run": [110, 122], "scratch": 114, "search": 84, "sequentialpipelin": 113, "serial": 50, "server": [51, 52, 53, 121, 122], "servic": [53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 107, 114, 117, 124], "service_respons": 71, "service_statu": 72, "service_toolkit": 73, "servicerespons": 117, "set": [110, 111, 124], "setup": 116, "similar": 70, "sourc": 108, "sql_queri": [74, 75, 76, 77], "sqlite": 77, "start": [109, 110, 122], "step": [110, 121], "step1": 109, "step2": 109, "step3": 109, "strategi": [88, 89, 119], "stream": 116, "string": 115, "structur": 107, "studio": [90, 91, 98, 121, 122], "submit": 127, "submodul": [0, 1, 14, 17, 20, 32, 38, 42, 46, 51, 54, 55, 57, 61, 65, 68, 74, 78, 80, 88, 90, 92, 96, 100], "subpackag": [0, 54, 95], "summar": 79, "support": 114, "switchpipelin": 113, "system": [111, 123], "tabl": [115, 123], "tagged_content_pars": 37, "templat": 115, "temporary_memori": 16, "temporarymemori": 118, "text": 64, "text_process": [78, 79], "to_dist": 121, "token_util": 94, "tool": [115, 117], "toolkit": 117, "tripadvisor": 85, "tutori": [105, 129], "type": 115, "typic": 115, "understand": 112, "up": [110, 111, 124], "us": [108, 115, 117, 124], "usag": [113, 115, 116, 121], "user_ag": 9, "userag": 112, "util": [91, 92, 93, 94, 99], "valid": 115, "version": 121, "virtual": 108, "virtualenv": 108, "vision": 119, "web": [80, 81, 82, 83, 84, 85, 86, 87, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 125], "web_brows": 56, "web_digest": 86, "welcom": [105, 129], "werewolf": [110, 115], "what": 107, "whilelooppipelin": 113, "why": 107, "wikipedia": 87, "window": 108, "work": 125, "workflow": [101, 107], "workflow_dag": 102, "workflow_nod": 103, "workflow_util": 104, "workstat": [100, 101, 102, 103, 104, 122], "wrapper": 114, "yi_model": 29, "your": [114, 121, 122, 127], "zhipu_model": 30, "zhipuai": 114, "zhipuaichatwrapp": 119, "\u9489\u9489": 126}})
\ No newline at end of file
diff --git a/en/tutorial/102-installation.html b/en/tutorial/102-installation.html
index 33e00d5d3..d990e6ac8 100644
--- a/en/tutorial/102-installation.html
+++ b/en/tutorial/102-installation.html
@@ -156,9 +156,7 @@
Installing AgentScopeInstall with Pip
If you prefer to install AgentScope from Pypi, you can do so easily using pip:
# For centralized multi-agent applications
-pip install agentscope --pre
-# For distributed multi-agent applications
-pip install agentscope[distribute] --pre # On Mac use `pip install agentscope\[distribute\] --pre`
+pip install agentscope
@@ -172,14 +170,41 @@ Install from Source# For centralized multi-agent applications
pip install -e .
-# For distributed multi-agent applications
-pip install -e .[distribute] # On Mac use `pip install -e .\[distribute\]`
-Note: The [distribute] option installs additional dependencies required for distributed applications. Remember to activate your virtual environment before running these commands.
+
+
+Extra Dependencies
+The supported optional dependencies for AgentScope are list as follows:
+
+ollama: Ollama API
litellm: Litellm API
zhipuai: Zhipuai API
gemini: Gemini API
service: The dependencies for different service functions
distribute: The dependencies for distribution mode
full: All the dependencies
+You can install one or more of these dependencies by adding them to the installation command.
+
+Windows
+pip install agentscope[gemini]
+# or
+pip install agentscope[ollama,distribute]
+
+
+
+
+Mac & Linux
+pip install agentscope\[gemini\]
+# or
+pip install agentscope\[ollama,distribute\]
+
+
+
diff --git a/zh_CN/.doctrees/agentscope.agents.agent.doctree b/zh_CN/.doctrees/agentscope.agents.agent.doctree
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index fffd6e3e3..b772248e3 100644
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index 7b9e62cd5..a531be7c1 100644
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index 5e9d6ffda..a95d5831d 100644
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diff --git a/zh_CN/.doctrees/agentscope.agents.react_agent.doctree b/zh_CN/.doctrees/agentscope.agents.react_agent.doctree
index 803698f70..a5f910400 100644
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diff --git a/zh_CN/.doctrees/agentscope.agents.user_agent.doctree b/zh_CN/.doctrees/agentscope.agents.user_agent.doctree
index ab3836418..5f051c875 100644
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diff --git a/zh_CN/.doctrees/agentscope.doctree b/zh_CN/.doctrees/agentscope.doctree
index fddba7b1d..7133a1db1 100644
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diff --git a/zh_CN/.doctrees/agentscope.message.doctree b/zh_CN/.doctrees/agentscope.message.doctree
index 2bd414985..0c98226a3 100644
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diff --git a/zh_CN/.doctrees/agentscope.message.placeholder.doctree b/zh_CN/.doctrees/agentscope.message.placeholder.doctree
index 69c2f05a9..bf16c67c0 100644
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diff --git a/zh_CN/.doctrees/agentscope.msghub.doctree b/zh_CN/.doctrees/agentscope.msghub.doctree
index 95050d0a2..4c5aa9e9a 100644
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diff --git a/zh_CN/.doctrees/agentscope.service.execute_code.exec_notebook.doctree b/zh_CN/.doctrees/agentscope.service.execute_code.exec_notebook.doctree
index 15993ee56..d61511843 100644
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diff --git a/zh_CN/.doctrees/environment.pickle b/zh_CN/.doctrees/environment.pickle
index 198b66eca..cc098926f 100644
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diff --git a/zh_CN/.doctrees/index.doctree b/zh_CN/.doctrees/index.doctree
index 2ffaf15d0..597595068 100644
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diff --git a/zh_CN/.doctrees/tutorial/102-installation.doctree b/zh_CN/.doctrees/tutorial/102-installation.doctree
index 49e3a20af..670650ab6 100644
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diff --git a/zh_CN/_modules/agentscope/agents/rpc_agent.html b/zh_CN/_modules/agentscope/agents/rpc_agent.html
index b9e28aad7..7317487b4 100644
--- a/zh_CN/_modules/agentscope/agents/rpc_agent.html
+++ b/zh_CN/_modules/agentscope/agents/rpc_agent.html
@@ -132,12 +132,12 @@ agentscope.agents.rpc_agent 源代码
-[文档]
+[文档]
class RpcAgent(AgentBase):
"""A wrapper to extend an AgentBase into a gRPC Client."""
-[文档]
+[文档]
def __init__(
self,
name: str,
@@ -242,7 +242,7 @@ agentscope.agents.rpc_agent 源代码
self.client.create_agent(self.agent_configs)
-[文档]
+[文档]
def reply(self, x: Optional[Union[Msg, Sequence[Msg]]] = None) -> Msg:
if self.client is None:
self._launch_server()
@@ -253,7 +253,7 @@ agentscope.agents.rpc_agent 源代码
-[文档]
+[文档]
def observe(self, x: Union[Msg, Sequence[Msg]]) -> None:
if self.client is None:
self._launch_server()
@@ -264,7 +264,7 @@ agentscope.agents.rpc_agent 源代码
-[文档]
+[文档]
def clone_instances(
self,
num_instances: int,
@@ -312,7 +312,7 @@ agentscope.agents.rpc_agent 源代码
-[文档]
+[文档]
def stop(self) -> None:
"""Stop the RpcAgent and the rpc server."""
if self.server_launcher is not None:
diff --git a/zh_CN/_modules/agentscope/models/dashscope_model.html b/zh_CN/_modules/agentscope/models/dashscope_model.html
index 63f4ece80..784e0886f 100644
--- a/zh_CN/_modules/agentscope/models/dashscope_model.html
+++ b/zh_CN/_modules/agentscope/models/dashscope_model.html
@@ -125,7 +125,6 @@ agentscope.models.dashscope_model 源代码
from http import HTTPStatus
from typing import Any, Union, List, Sequence, Optional, Generator
-from dashscope.api_entities.dashscope_response import GenerationResponse
from loguru import logger
from ..manager import FileManager
@@ -134,8 +133,10 @@ agentscope.models.dashscope_model 源代码
try:
import dashscope
+ from dashscope.api_entities.dashscope_response import GenerationResponse
except ImportError:
dashscope = None
+ GenerationResponse = None
from .model import ModelWrapperBase, ModelResponse
@@ -176,7 +177,8 @@ agentscope.models.dashscope_model 源代码
if dashscope is None:
raise ImportError(
- "Cannot find dashscope package in current python environment.",
+ "The package 'dashscope' is not installed. Please install it "
+ "by running `pip install dashscope==1.14.1`",
)
self.generate_args = generate_args or {}
@@ -871,7 +873,7 @@ agentscope.models.dashscope_model 源代码
messages=messages,
**kwargs,
)
- # Unhandle code path here
+ # Unhandled code path here
# response could be a generator , if stream is yes
# suggest add a check here
if response.status_code != HTTPStatus.OK:
diff --git a/zh_CN/_modules/agentscope/models/ollama_model.html b/zh_CN/_modules/agentscope/models/ollama_model.html
index 67da89632..89ffa5e23 100644
--- a/zh_CN/_modules/agentscope/models/ollama_model.html
+++ b/zh_CN/_modules/agentscope/models/ollama_model.html
@@ -127,11 +127,6 @@ agentscope.models.ollama_model 源代码
from ..models import ModelWrapperBase, ModelResponse
from ..utils.common import _convert_to_str
-try:
- import ollama
-except ImportError:
- ollama = None
-
[文档]
@@ -191,6 +186,15 @@ agentscope.models.ollama_model 源代码
self.options = options
self.keep_alive = keep_alive
+
+ try:
+ import ollama
+ except ImportError as e:
+ raise ImportError(
+ "The package ollama is not found. Please install it by "
+ 'running command `pip install "ollama>=0.1.7"`',
+ ) from e
+
self.client = ollama.Client(host=host, **kwargs)
diff --git a/zh_CN/_modules/agentscope/service/execute_code/exec_notebook.html b/zh_CN/_modules/agentscope/service/execute_code/exec_notebook.html
index cdadc212d..3a0683abe 100644
--- a/zh_CN/_modules/agentscope/service/execute_code/exec_notebook.html
+++ b/zh_CN/_modules/agentscope/service/execute_code/exec_notebook.html
@@ -122,23 +122,19 @@ agentscope.service.execute_code.exec_notebook 源代码
# -*- coding: utf-8 -*-
# pylint: disable=C0301
"""Service for executing jupyter notebooks interactively
-Partially referenced the implementation of https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
-""" # noqa
+Partially referenced the implementation of
+https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
+"""
import base64
import asyncio
from loguru import logger
-
try:
- from nbclient import NotebookClient
- from nbclient.exceptions import CellTimeoutError, DeadKernelError
+ import nbclient
import nbformat
-except ImportError as import_error:
- from agentscope.utils.common import ImportErrorReporter
-
- nbclient = ImportErrorReporter(import_error)
- nbformat = ImportErrorReporter(import_error)
- NotebookClient = ImportErrorReporter(import_error)
+except ImportError:
+ nbclient = None
+ nbformat = None
from ...manager import FileManager
from ..service_status import ServiceExecStatus
@@ -191,8 +187,15 @@ agentscope.service.execute_code.exec_notebook 源代码
The timeout for each cell execution.
Default to 300.
"""
+
+ if nbclient is None or nbformat is None:
+ raise ImportError(
+ "The package nbclient or nbformat is not found. Please "
+ "install it by `pip install notebook nbclient nbformat`",
+ )
+
self.nb = nbformat.v4.new_notebook()
- self.nb_client = NotebookClient(nb=self.nb)
+ self.nb_client = nbclient.NotebookClient(nb=self.nb)
self.timeout = timeout
asyncio.run(self._start_client())
@@ -239,7 +242,7 @@ agentscope.service.execute_code.exec_notebook 源代码
async def _restart_client(self) -> None:
"""Restart the notebook client"""
await self._kill_client()
- self.nb_client = NotebookClient(self.nb, timeout=self.timeout)
+ self.nb_client = nbclient.NotebookClient(self.nb, timeout=self.timeout)
await self._start_client()
async def _run_cell(self, cell_index: int) -> ServiceResponse:
@@ -253,13 +256,13 @@ agentscope.service.execute_code.exec_notebook 源代码
for output in self.nb.cells[cell_index].outputs
],
)
- except DeadKernelError:
+ except nbclient.exceptions.DeadKernelError:
await self.reset()
return ServiceResponse(
status=ServiceExecStatus.ERROR,
content="DeadKernelError when executing cell, reset kernel",
)
- except CellTimeoutError:
+ except nbclient.exceptions.CellTimeoutError:
assert self.nb_client.km is not None
await self.nb_client.km.interrupt_kernel()
return ServiceResponse(
diff --git a/zh_CN/_modules/agentscope/service/multi_modality/dashscope_services.html b/zh_CN/_modules/agentscope/service/multi_modality/dashscope_services.html
index 80e4c5dfb..8ae970379 100644
--- a/zh_CN/_modules/agentscope/service/multi_modality/dashscope_services.html
+++ b/zh_CN/_modules/agentscope/service/multi_modality/dashscope_services.html
@@ -130,17 +130,11 @@ agentscope.service.multi_modality.dashscope_services 源代码
import os
-import dashscope
-from dashscope.audio.tts import SpeechSynthesizer
-
-from agentscope.models import (
+from ...models import (
DashScopeImageSynthesisWrapper,
DashScopeMultiModalWrapper,
)
-# SpeechSynthesizerWrapper is current not available
-
-
from ..service_response import (
ServiceResponse,
ServiceExecStatus,
@@ -388,9 +382,17 @@ agentscope.service.multi_modality.dashscope_services 源代码
> {'status': 'SUCCESS', 'content': {"audio_path": "AUDIO_PATH"}}
"""
+ try:
+ import dashscope
+ except ImportError as e:
+ raise ImportError(
+ "The package 'dashscope' is not installed. Please install it by "
+ "running `pip install dashscope==1.14.1`",
+ ) from e
+
dashscope.api_key = api_key
- res = SpeechSynthesizer.call(
+ res = dashscope.audio.tts.SpeechSynthesizer.call(
model=model,
text=text,
sample_rate=sample_rate,
diff --git a/zh_CN/_modules/agentscope/web/gradio/utils.html b/zh_CN/_modules/agentscope/web/gradio/utils.html
index 6a1b4ae1a..bbbafcf62 100644
--- a/zh_CN/_modules/agentscope/web/gradio/utils.html
+++ b/zh_CN/_modules/agentscope/web/gradio/utils.html
@@ -130,8 +130,6 @@ agentscope.web.gradio.utils 源代码
from PIL import Image
-from dashscope.audio.asr import RecognitionCallback, Recognition
-
SYS_MSG_PREFIX = "【SYSTEM】"
thread_local_data = threading.local()
@@ -322,7 +320,15 @@ agentscope.web.gradio.utils 源代码
[文档]
def audio2text(audio_path: str) -> str:
"""Converts audio file at the given path to text using ASR."""
- # dashscope.api_key = ""
+
+ try:
+ from dashscope.audio.asr import RecognitionCallback, Recognition
+ except ImportError as e:
+ raise ImportError(
+ "The package dashscope is not found. Please install it by "
+ "running `pip install dashscope==1.14.1`",
+ ) from e
+
callback = RecognitionCallback()
rec = Recognition(
model="paraformer-realtime-v1",
diff --git a/zh_CN/_sources/tutorial/102-installation.md.txt b/zh_CN/_sources/tutorial/102-installation.md.txt
index ad1ac3659..14e8b7c35 100644
--- a/zh_CN/_sources/tutorial/102-installation.md.txt
+++ b/zh_CN/_sources/tutorial/102-installation.md.txt
@@ -48,22 +48,45 @@ cd agentscope
# 针对本地化的multi-agent应用
pip install -e .
-# 为分布式multi-agent应用
-pip install -e .[distribute] # 在Mac上使用`pip install -e .\[distribute\]`
```
-**注意**：`[distribute]`选项安装了分布式应用程序所需的额外依赖项。在运行这些命令之前，请激活您的虚拟环境。
-
### 使用Pip安装
如果您选择从Pypi安装AgentScope，可以使用`pip`轻松地完成：
```bash
# 针对本地化的multi-agent应用
-pip install agentscope --pre
+pip install agentscope
+```
+
+### 额外依赖
+
+AgentScope 支持可选依赖如下，用户可以根据自己的需求选择安装：
+
+- ollama: Ollama API
+- litellm: Litellm API
+- zhipuai: Zhipuai API
+- gemini: Gemini API
+- service: 不同工具函数的依赖
+- distribute: 分布式模式的依赖
+- full: 一次性安装上述所有的依赖，可能耗时较长
+
+可以通过将它们添加到安装命令中来安装这些依赖。
-# 为分布式multi-agent应用
-pip install agentscope[distribute] --pre # 在Mac上使用`pip install agentscope\[distribute\] --pre`
+#### Windows
+
+```bash
+pip install agentscope[gemini]
+# or
+pip install agentscope[ollama,distribute]
+```
+
+#### Mac & Linux
+
+```bash
+pip install agentscope\[gemini\]
+# or
+pip install agentscope\[ollama,distribute\]
```
[[返回顶端]](#102-installation-zh)
diff --git a/zh_CN/agentscope.agents.agent.html b/zh_CN/agentscope.agents.agent.html
index 8591b540f..35cc30799 100644
--- a/zh_CN/agentscope.agents.agent.html
+++ b/zh_CN/agentscope.agents.agent.html
@@ -254,7 +254,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Define the actions taken by this agent.
- 参数:
diff --git a/zh_CN/agentscope.agents.dialog_agent.html b/zh_CN/agentscope.agents.dialog_agent.html
index dbe198064..2d284806d 100644
--- a/zh_CN/agentscope.agents.dialog_agent.html
+++ b/zh_CN/agentscope.agents.dialog_agent.html
@@ -166,7 +166,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Reply function of the agent. Processes the input data,
generates a prompt using the current dialogue memory and system
prompt, and invokes the language model to produce a response. The
diff --git a/zh_CN/agentscope.agents.dict_dialog_agent.html b/zh_CN/agentscope.agents.dict_dialog_agent.html
index 8ad83505f..c7b0c398f 100644
--- a/zh_CN/agentscope.agents.dict_dialog_agent.html
+++ b/zh_CN/agentscope.agents.dict_dialog_agent.html
@@ -181,7 +181,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Reply function of the agent.
Processes the input data, generates a prompt using the current
dialogue memory and system prompt, and invokes the language
diff --git a/zh_CN/agentscope.agents.html b/zh_CN/agentscope.agents.html
index 2415cc23e..83bbf72f0 100644
--- a/zh_CN/agentscope.agents.html
+++ b/zh_CN/agentscope.agents.html
@@ -137,14 +137,6 @@
DistConf.__init__()RpcAgent
-LlamaIndexAgent
LlamaIndexAgent.__init__()LlamaIndexAgent.reply()Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Define the actions taken by this agent.
- 参数:
@@ -560,7 +552,7 @@ Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Reply function of the agent. Processes the input data,
generates a prompt using the current dialogue memory and system
prompt, and invokes the language model to produce a response. The
@@ -622,7 +614,7 @@
Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Reply function of the agent.
Processes the input data, generates a prompt using the current
dialogue memory and system prompt, and invokes the language
@@ -677,7 +669,7 @@
Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[源代码]
Processes the input provided by the user and stores it in memory,
potentially formatting it with additional provided details.
The method prompts the user for input, then optionally prompts for
@@ -762,7 +754,7 @@
Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
The reply method of the agent.
@@ -809,103 +801,6 @@ Submodules
--
-class agentscope.agents.RpcAgent(*args: tuple, **kwargs: dict)[源代码]
-基类：AgentBase
-A wrapper to extend an AgentBase into a gRPC Client.
-
--
-__init__(name: str, host: str = 'localhost', port: int | None = None, agent_class: Type[AgentBase] | None = None, agent_configs: dict | None = None, max_pool_size: int = 8192, max_timeout_seconds: int = 7200, local_mode: bool = True, lazy_launch: bool = False, agent_id: str | None = None, connect_existing: bool = False) None[源代码]
-Initialize a RpcAgent instance.
-
-- 参数:
-
-name (str) – the name of the agent.
host (str, defaults to localhost) – Hostname of the rpc agent server.
port (int, defaults to None) – Port of the rpc agent server.
agent_class (Type[AgentBase]) – the AgentBase subclass of the source agent.
agent_configs (dict) – The args used to
-init configs of the agent, generated by _AgentMeta.
max_pool_size (int, defaults to 8192) – Max number of task results that the server can accommodate.
max_timeout_seconds (int, defaults to 7200) – Timeout for task results.
local_mode (bool, defaults to True) – Whether the started gRPC server only listens to local
-requests.
lazy_launch (bool, defaults to False) – Only launch the server when the agent is called.
agent_id (str, defaults to None) – The agent id of this instance. If None, it will
-be generated randomly.
connect_existing (bool, defaults to False) – Set to True, if the agent is already running on the agent
-server.
-
-
-
-
--
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
-Define the actions taken by this agent.
-
-- 参数:
-x (Optional[Union[Msg, Sequence[Msg]]], defaults to None) – The input message(s) to the agent, which also can be omitted if
-the agent doesn’t need any input.
-- 返回:
-The output message generated by the agent.
-- 返回类型:
-Msg
-
-
-备注
-Given that some agents are in an adversarial environment,
-their input doesn’t include the thoughts of other agents.
-
-
-
-
--
-observe(x: Msg | Sequence[Msg]) None[源代码]
-Observe the input, store it in memory without response to it.
-
-- 参数:
-x (Union[Msg, Sequence[Msg]]) – The input message to be recorded in memory.
-
-
-
-
--
-clone_instances(num_instances: int, including_self: bool = True) Sequence[AgentBase][源代码]
-Clone a series of this instance with different agent_id and
-return them as a list.
-
-- 参数:
-
-num_instances (int) – The number of instances in the returned
list. (this method in the returned)
including_self (bool) – Whether to include the instance calling
list.
-- 返回:
-A list of agent instances.
-- 返回类型:
-Sequence[AgentBase]
-
-
-
-
-
-
-
-
class agentscope.agents.LlamaIndexAgent(*args: tuple, **kwargs: dict)[源代码]
@@ -950,7 +845,7 @@ Submodules
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Reply function of the RAG agent.
Processes the input data,
1) use the input data to retrieve with RAG function;
diff --git a/zh_CN/agentscope.agents.rag_agent.html b/zh_CN/agentscope.agents.rag_agent.html
index acb35ed5a..dc681208f 100644
--- a/zh_CN/agentscope.agents.rag_agent.html
+++ b/zh_CN/agentscope.agents.rag_agent.html
@@ -186,7 +186,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Reply function of the RAG agent.
Processes the input data,
1) use the input data to retrieve with RAG function;
diff --git a/zh_CN/agentscope.agents.react_agent.html b/zh_CN/agentscope.agents.react_agent.html
index d03500d42..8868aaec8 100644
--- a/zh_CN/agentscope.agents.react_agent.html
+++ b/zh_CN/agentscope.agents.react_agent.html
@@ -184,7 +184,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
The reply method of the agent.
diff --git a/zh_CN/agentscope.agents.rpc_agent.html b/zh_CN/agentscope.agents.rpc_agent.html
index 6e44cb862..62b52b48d 100644
--- a/zh_CN/agentscope.agents.rpc_agent.html
+++ b/zh_CN/agentscope.agents.rpc_agent.html
@@ -174,7 +174,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None) Msg[源代码]
Define the actions taken by this agent.
- 参数:
diff --git a/zh_CN/agentscope.agents.user_agent.html b/zh_CN/agentscope.agents.user_agent.html
index 1ec41729b..59261dcce 100644
--- a/zh_CN/agentscope.agents.user_agent.html
+++ b/zh_CN/agentscope.agents.user_agent.html
@@ -169,7 +169,7 @@
-
-reply(x: Sequence[Msg] | Msg | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[源代码]
+reply(x: Msg | Sequence[Msg] | None = None, required_keys: list[str] | str | None = None, timeout: int | None = None) Msg[源代码]
Processes the input provided by the user and stores it in memory,
potentially formatting it with additional provided details.
The method prompts the user for input, then optionally prompts for
diff --git a/zh_CN/agentscope.html b/zh_CN/agentscope.html
index 684f107fb..17c906a51 100644
--- a/zh_CN/agentscope.html
+++ b/zh_CN/agentscope.html
@@ -241,14 +241,6 @@
SubpackagesDistConf.__init__()
-
RpcAgent
-LlamaIndexAgent
LlamaIndexAgent.__init__()LlamaIndexAgent.reply()Submodules
-
-agentscope.msghub(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None) MsgHubManager[源代码]
+agentscope.msghub(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None) MsgHubManager[源代码]
msghub is used to share messages among a group of agents.
- 参数:
diff --git a/zh_CN/agentscope.message.html b/zh_CN/agentscope.message.html
index a36a454c1..158c830be 100644
--- a/zh_CN/agentscope.message.html
+++ b/zh_CN/agentscope.message.html
@@ -351,12 +351,12 @@ Submodules
-
-class agentscope.message.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None)[源代码]
+class agentscope.message.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None)[源代码]
基类：Msg
A placeholder for the return message of RpcAgent.
-
-__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None) None[源代码]
+__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None) None[源代码]
A placeholder message, records the address of the real message.
- 参数:
diff --git a/zh_CN/agentscope.message.placeholder.html b/zh_CN/agentscope.message.placeholder.html
index b0f6ab87b..d831ba2ef 100644
--- a/zh_CN/agentscope.message.placeholder.html
+++ b/zh_CN/agentscope.message.placeholder.html
@@ -136,12 +136,12 @@
The placeholder message for RpcAgent.
-
-class agentscope.message.placeholder.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None)[源代码]
+class agentscope.message.placeholder.PlaceholderMessage(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None)[源代码]
基类：Msg
A placeholder for the return message of RpcAgent.
-
-__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Sequence[Msg] | Msg | None = None) None[源代码]
+__init__(host: str | None = None, port: int | None = None, task_id: int | None = None, client: RpcAgentClient | None = None, x: Msg | Sequence[Msg] | None = None) None[源代码]
A placeholder message, records the address of the real message.
- 参数:
diff --git a/zh_CN/agentscope.msghub.html b/zh_CN/agentscope.msghub.html
index 2d6a2ce1b..46f6c5075 100644
--- a/zh_CN/agentscope.msghub.html
+++ b/zh_CN/agentscope.msghub.html
@@ -140,12 +140,12 @@
MsgHub is designed to share messages among a group of agents.
-
-class agentscope.msghub.MsgHubManager(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None)[源代码]
+class agentscope.msghub.MsgHubManager(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None)[源代码]
基类：object
MsgHub manager class for sharing dialog among a group of agents.
-
-__init__(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None) None[源代码]
+__init__(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None) None[源代码]
Initialize a msghub manager from the given arguments.
- 参数:
@@ -187,7 +187,7 @@
-
-agentscope.msghub.msghub(participants: Sequence[AgentBase], announcement: Sequence[Msg] | Msg | None = None) MsgHubManager[源代码]
+agentscope.msghub.msghub(participants: Sequence[AgentBase], announcement: Msg | Sequence[Msg] | None = None) MsgHubManager[源代码]
msghub is used to share messages among a group of agents.
- 参数:
diff --git a/zh_CN/agentscope.service.execute_code.exec_notebook.html b/zh_CN/agentscope.service.execute_code.exec_notebook.html
index 0a6eba95d..e9cbea0bd 100644
--- a/zh_CN/agentscope.service.execute_code.exec_notebook.html
+++ b/zh_CN/agentscope.service.execute_code.exec_notebook.html
@@ -143,7 +143,8 @@
agentscope.service.execute_code.exec_notebook module
Service for executing jupyter notebooks interactively
-Partially referenced the implementation of https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
+Partially referenced the implementation of
+https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
-
class agentscope.service.execute_code.exec_notebook.NoteBookExecutor(timeout: int = 300)[源代码]
diff --git a/zh_CN/genindex.html b/zh_CN/genindex.html
index e5e5179f3..cd1fc0f1f 100644
--- a/zh_CN/genindex.html
+++ b/zh_CN/genindex.html
@@ -175,8 +175,6 @@ _
- __init__() （agentscope.agents.ReActAgent 方法）
- __init__() （agentscope.agents.rpc_agent.RpcAgent 方法）
-
- - __init__() （agentscope.agents.RpcAgent 方法）
- __init__() （agentscope.agents.user_agent.UserAgent 方法）
@@ -1352,8 +1350,6 @@ C
- clone_agent()（agentscope.rpc.rpc_agent_pb2_grpc.RpcAgent 静态方法）
- clone_instances() （agentscope.agents.rpc_agent.RpcAgent 方法）
-
- - clone_instances() （agentscope.agents.RpcAgent 方法）
- close() （agentscope.service.browser.web_browser.WebBrowser 方法）
@@ -1403,10 +1399,10 @@ C
- compile() （agentscope.web.workstation.workflow_node.WhileLoopPipelineNode 方法）
-
- compile() （agentscope.web.workstation.workflow_node.WriteTextServiceNode 方法）
- compile_workflow()（在 agentscope.web.workstation.workflow 模块中）
@@ -2779,8 +2775,6 @@
O
- observe() （agentscope.agents.AgentBase 方法）
- observe() （agentscope.agents.rpc_agent.RpcAgent 方法）
-
- - observe() （agentscope.agents.RpcAgent 方法）
- OllamaChatWrapper（agentscope.models 中的类）
@@ -3049,8 +3043,6 @@ R
- reply() （agentscope.agents.ReActAgent 方法）
- reply() （agentscope.agents.rpc_agent.RpcAgent 方法）
-
- - reply() （agentscope.agents.RpcAgent 方法）
- reply() （agentscope.agents.user_agent.UserAgent 方法）
@@ -3129,8 +3121,6 @@ R
- RpcAgentStub（agentscope.rpc 中的类）
- RpcAgentStub（agentscope.rpc.rpc_agent_pb2_grpc 中的类）
-
- - RpcAgent（agentscope.agents 中的类）
- RpcAgent（agentscope.agents.rpc_agent 中的类）
@@ -3243,11 +3233,11 @@ S
- show_image_tokens() （agentscope.manager.MonitorManager 方法）
- show_text_and_embedding_tokens() （agentscope.manager.MonitorManager 方法）
-
- - ShrinkPolicy（agentscope.constants 中的类）
+ - ShrinkPolicy（agentscope.constants 中的类）
+
- shutdown() （agentscope.server.launcher.RpcAgentServerLauncher 方法）
- shutdown() （agentscope.server.RpcAgentServerLauncher 方法）
@@ -3285,8 +3275,6 @@
S
- static_format()（agentscope.models.OpenAIChatWrapper 静态方法）
- stop() （agentscope.agents.rpc_agent.RpcAgent 方法）
-
- - stop() （agentscope.agents.RpcAgent 方法）
- stop() （agentscope.rpc.rpc_agent_client.RpcAgentClient 方法）
diff --git a/zh_CN/objects.inv b/zh_CN/objects.inv
index 7e5cc0409..7f893459a 100644
Binary files a/zh_CN/objects.inv and b/zh_CN/objects.inv differ
diff --git a/zh_CN/searchindex.js b/zh_CN/searchindex.js
index b7dc11120..18af55994 100644
--- a/zh_CN/searchindex.js
+++ b/zh_CN/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"(\u62d3\u5c55) \u67b6\u8bbe\u81ea\u5df1\u7684embedding model\u670d\u52a1": [[124, "embedding-model"]], "Actor\u6a21\u5f0f": [[121, "actor"]], "Agent": [[112, null]], "Agent Server": [[121, "id9"]], "AgentScope API \u6587\u6863": [[105, null]], "AgentScope Studio": [[122, null]], "AgentScope \u6587\u6863": [[105, null]], "AgentScope\u4ee3\u7801\u7ed3\u6784": [[107, "id5"]], "AgentScope\u662f\u5982\u4f55\u8bbe\u8ba1\u7684\uff1f": [[107, "id4"]], "Agents \u5217\u8868": [[122, "agents"]], "DashScope API": [[114, "dashscope-api"]], "DashScopeChatWrapper": [[119, "dashscopechatwrapper"]], "DashScopeMultiModalWrapper": [[119, "dashscopemultimodalwrapper"]], "Dashboard": [[122, "dashboard"]], "DialogAgent": [[112, "dialogagent"]], "Discord": [[126, "discord"]], "ForLoopPipeline": [[113, "forlooppipeline"]], "Fork\u548cClone\u4ed3\u5e93": [[127, "forkclone"]], "Gemini API": [[114, "gemini-api"]], "GeminiChatWrapper": [[119, "geminichatwrapper"]], "GitHub": [[126, "github"]], "Guidance": [[125, "guidance"]], "IfElsePipeline": [[113, "ifelsepipeline"]], "JSON / Python \u5bf9\u8c61\u7c7b\u578b": [[115, "json-python"]], "Knowledge": [[124, "knowledge"]], "Knowledge Bank": [[124, "knowledge-bank"]], "LiteLLM Chat API": [[114, "litellm-chat-api"]], "LiteLLMChatWrapper": [[119, "litellmchatwrapper"]], "Logging": [[111, "logging"]], "Logging a Chat Message": [[111, "logging-a-chat-message"]], "MarkdownCodeBlockParser": [[115, "markdowncodeblockparser"]], "MarkdownJsonDictParser": [[115, "markdownjsondictparser"]], "MarkdownJsonObjectParser": [[115, "markdownjsonobjectparser"]], "Memory \u5217\u8868": [[122, "memory"]], "Module contents": [[0, "module-agentscope"], [1, "module-agentscope.agents"], [13, "module-agentscope.manager"], [14, "module-agentscope.memory"], [17, "module-agentscope.message"], [20, "module-agentscope.models"], [32, "module-agentscope.parsers"], [38, "module-agentscope.pipelines"], [41, "module-agentscope.prompt"], [42, "module-agentscope.rag"], [46, "module-agentscope.rpc"], [51, "module-agentscope.server"], [54, "module-agentscope.service"], [55, "module-agentscope.service.browser"], [57, "module-agentscope.service.execute_code"], [61, "module-agentscope.service.file"], [65, "module-agentscope.service.multi_modality"], [68, "module-agentscope.service.retrieval"], [74, "module-agentscope.service.sql_query"], [78, "module-agentscope.service.text_processing"], [80, "module-agentscope.service.web"], [88, "module-agentscope.strategy"], [90, "module-agentscope.studio"], [92, "module-agentscope.utils"], [95, "module-agentscope.web"], [96, "module-agentscope.web.gradio"], [100, "module-agentscope.web.workstation"]], "MsgHub": [[113, "msghub"]], "MultiTaggedContentParser": [[115, "multitaggedcontentparser"]], "Ollama API": [[114, "ollama-api"]], "OllamaChatWrapper": [[119, "ollamachatwrapper"]], "OllamaGenerationWrapper": [[119, "ollamagenerationwrapper"]], "OpenAI API": [[114, "openai-api"]], "OpenAIChatWrapper": [[119, "openaichatwrapper"]], "Pipeline": [[113, "pipeline"]], "Pipeline \u7ec4\u5408": [[113, "id3"]], "Pipeline\u548cMsgHub": [[113, null]], "Placeholder": [[121, "placeholder"]], "Post Request API": [[114, "post-request-api"]], "RAG \u667a\u80fd\u4f53": [[124, "rag"]], "ReAct \u667a\u80fd\u4f53\u548c\u5de5\u5177\u4f7f\u7528": [[115, "react"]], "RegexTaggedContentParser": [[115, "regextaggedcontentparser"]], "SequentialPipeline": [[113, "sequentialpipeline"]], "Server Manager": [[122, "server-manager"]], "Servers \u5217\u8868": [[122, "servers"]], "Service\u51fd\u6570\u6982\u89c8": [[117, "service"]], "Submodules": [[0, "submodules"], [1, "submodules"], [14, "submodules"], [17, "submodules"], [20, "submodules"], [32, "submodules"], [38, "submodules"], [42, "submodules"], [46, "submodules"], [51, "submodules"], [54, "submodules"], [55, "submodules"], [57, "submodules"], [61, "submodules"], [65, "submodules"], [68, "submodules"], [74, "submodules"], [78, 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"agentscope.agents.rag_agent module": [[6, null]], "agentscope.agents.react_agent module": [[7, null]], "agentscope.agents.rpc_agent module": [[8, null]], "agentscope.agents.user_agent module": [[9, null]], "agentscope.constants module": [[10, null]], "agentscope.exception module": [[11, null]], "agentscope.logging module": [[12, null]], "agentscope.manager package": [[13, null]], "agentscope.memory package": [[14, null]], "agentscope.memory.memory module": [[15, null]], "agentscope.memory.temporary_memory module": [[16, null]], "agentscope.message package": [[17, null]], "agentscope.message.msg module": [[18, null]], "agentscope.message.placeholder module": [[19, null]], "agentscope.models package": [[20, null]], "agentscope.models.dashscope_model module": [[21, null]], "agentscope.models.gemini_model module": [[22, null]], "agentscope.models.litellm_model module": [[23, null]], "agentscope.models.model module": [[24, null]], "agentscope.models.ollama_model module": [[25, null]], "agentscope.models.openai_model module": [[26, null]], "agentscope.models.post_model module": [[27, null]], "agentscope.models.response module": [[28, null]], "agentscope.models.yi_model module": [[29, null]], "agentscope.models.zhipu_model module": [[30, null]], "agentscope.msghub module": [[31, null]], "agentscope.parsers package": [[32, null]], "agentscope.parsers.code_block_parser module": [[33, null]], "agentscope.parsers.json_object_parser module": [[34, null]], "agentscope.parsers.parser_base module": [[35, null]], "agentscope.parsers.regex_tagged_content_parser module": [[36, null]], "agentscope.parsers.tagged_content_parser module": [[37, null]], "agentscope.pipelines package": [[38, null]], "agentscope.pipelines.functional module": [[39, null]], "agentscope.pipelines.pipeline module": [[40, null]], "agentscope.prompt package": [[41, null]], "agentscope.rag package": [[42, null]], "agentscope.rag.knowledge module": [[43, null]], "agentscope.rag.knowledge_bank module": [[44, null]], "agentscope.rag.llama_index_knowledge module": [[45, null]], "agentscope.rpc package": [[46, null]], "agentscope.rpc.rpc_agent_client module": [[47, null]], "agentscope.rpc.rpc_agent_pb2 module": [[48, null]], "agentscope.rpc.rpc_agent_pb2_grpc module": [[49, null]], "agentscope.serialize module": [[50, null]], "agentscope.server package": [[51, null]], "agentscope.server.launcher module": [[52, null]], "agentscope.server.servicer module": [[53, null]], "agentscope.service package": [[54, null]], "agentscope.service.browser package": [[55, null]], "agentscope.service.browser.web_browser module": [[56, null]], "agentscope.service.execute_code package": [[57, null]], "agentscope.service.execute_code.exec_notebook module": [[58, null]], "agentscope.service.execute_code.exec_python module": [[59, null]], "agentscope.service.execute_code.exec_shell module": [[60, null]], "agentscope.service.file package": [[61, null]], "agentscope.service.file.common module": [[62, null]], "agentscope.service.file.json module": [[63, null]], "agentscope.service.file.text module": [[64, null]], "agentscope.service.multi_modality package": [[65, null]], "agentscope.service.multi_modality.dashscope_services module": [[66, null]], "agentscope.service.multi_modality.openai_services module": [[67, null]], "agentscope.service.retrieval package": [[68, null]], "agentscope.service.retrieval.retrieval_from_list module": [[69, null]], "agentscope.service.retrieval.similarity module": [[70, null]], "agentscope.service.service_response module": [[71, null]], "agentscope.service.service_status module": [[72, null]], "agentscope.service.service_toolkit module": [[73, null]], "agentscope.service.sql_query package": [[74, null]], "agentscope.service.sql_query.mongodb module": [[75, null]], "agentscope.service.sql_query.mysql module": [[76, null]], "agentscope.service.sql_query.sqlite module": [[77, null]], "agentscope.service.text_processing package": [[78, null]], "agentscope.service.text_processing.summarization module": [[79, null]], "agentscope.service.web package": [[80, null]], "agentscope.service.web.arxiv module": [[81, null]], "agentscope.service.web.dblp module": [[82, null]], "agentscope.service.web.download module": [[83, null]], "agentscope.service.web.search module": [[84, null]], "agentscope.service.web.tripadvisor module": [[85, null]], "agentscope.service.web.web_digest module": [[86, null]], "agentscope.service.web.wikipedia module": [[87, null]], "agentscope.strategy package": [[88, null]], "agentscope.strategy.mixture_of_agent module": [[89, null]], "agentscope.studio package": [[90, null]], "agentscope.studio.utils module": [[91, null]], "agentscope.utils package": [[92, null]], "agentscope.utils.common module": [[93, null]], "agentscope.utils.token_utils module": [[94, null]], "agentscope.web package": [[95, null]], "agentscope.web.gradio package": [[96, null]], "agentscope.web.gradio.constants module": [[97, null]], "agentscope.web.gradio.studio module": [[98, null]], "agentscope.web.gradio.utils module": [[99, null]], "agentscope.web.workstation package": [[100, null]], "agentscope.web.workstation.workflow module": [[101, null]], "agentscope.web.workstation.workflow_dag module": [[102, null]], "agentscope.web.workstation.workflow_node module": [[103, null]], "agentscope.web.workstation.workflow_utils module": [[104, null]], "}": [[20, "id53"], [30, "id9"], [32, "id19"], [36, "id3"]], "\u4e0e\u667a\u80fd\u4f53\u7ed3\u5408": [[125, "id2"]], "\u4e3a\u4ec0\u4e48\u9009\u62e9AgentScope\uff1f": [[107, "id3"]], "\u4ec0\u4e48\u662fAgentScope\uff1f": [[107, "id1"]], "\u4eceAgent\u6c60\u4e2d\u5b9a\u5236Agent": [[112, "agentagent"]], "\u4ece\u6e90\u7801\u5b89\u88c5": [[108, "id3"]], "\u4ece\u96f6\u642d\u5efa\u6a21\u578b\u670d\u52a1": [[114, "id7"]], "\u4ee3\u7801\u5ba1\u67e5": [[127, "id6"]], "\u4ee5\u914d\u7f6e LlamaIndexKnowledge \u4e3a\u4f8b": [[124, "llamaindexknowledge"]], "\u4f7f\u7528 In Context 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"agentscope.models.post_model module", "agentscope.models.response module", "agentscope.models.yi_model module", "agentscope.models.zhipu_model module", "agentscope.msghub module", "agentscope.parsers package", "agentscope.parsers.code_block_parser module", "agentscope.parsers.json_object_parser module", "agentscope.parsers.parser_base module", "agentscope.parsers.regex_tagged_content_parser module", "agentscope.parsers.tagged_content_parser module", "agentscope.pipelines package", "agentscope.pipelines.functional module", "agentscope.pipelines.pipeline module", "agentscope.prompt package", "agentscope.rag package", "agentscope.rag.knowledge module", "agentscope.rag.knowledge_bank module", "agentscope.rag.llama_index_knowledge module", "agentscope.rpc package", "agentscope.rpc.rpc_agent_client module", "agentscope.rpc.rpc_agent_pb2 module", "agentscope.rpc.rpc_agent_pb2_grpc module", "agentscope.serialize module", "agentscope.server package", "agentscope.server.launcher module", 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\ No newline at end of file
diff --git a/zh_CN/tutorial/102-installation.html b/zh_CN/tutorial/102-installation.html
index 3012643a9..375522658 100644
--- a/zh_CN/tutorial/102-installation.html
+++ b/zh_CN/tutorial/102-installation.html
@@ -63,6 +63,11 @@
- 安装AgentScope
- 从源码安装
- 使用Pip安装
+- 额外依赖
+- Windows
+- Mac & Linux
+
+
@@ -173,25 +178,49 @@ 从源码安装# 针对本地化的multi-agent应用
pip install -e .
-# 为分布式multi-agent应用
-pip install -e .[distribute] # 在Mac上使用`pip install -e .\[distribute\]`
-注意：[distribute]选项安装了分布式应用程序所需的额外依赖项。在运行这些命令之前，请激活您的虚拟环境。
使用Pip安装
如果您选择从Pypi安装AgentScope，可以使用pip轻松地完成：
# 针对本地化的multi-agent应用
-pip install agentscope --pre
-
-# 为分布式multi-agent应用
-pip install agentscope[distribute] --pre # 在Mac上使用`pip install agentscope\[distribute\] --pre`
+pip install agentscope
+
+
+
+
+额外依赖
+AgentScope 支持可选依赖如下，用户可以根据自己的需求选择安装：
+
+ollama: Ollama API
litellm: Litellm API
zhipuai: Zhipuai API
gemini: Gemini API
service: 不同工具函数的依赖
distribute: 分布式模式的依赖
full: 一次性安装上述所有的依赖，可能耗时较长
+可以通过将它们添加到安装命令中来安装这些依赖。
+
+Windows
+pip install agentscope[gemini]
+# or
+pip install agentscope[ollama,distribute]
+
+
+
+
+Mac & Linux
+pip install agentscope\[gemini\]
+# or
+pip install agentscope\[ollama,distribute\]
+