API Reference
Agent
Source code in agency_swarm/agents/agent.py
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__init__(id=None, name=None, description=None, instructions='', tools=None, tool_resources=None, temperature=None, top_p=None, response_format='auto', tools_folder=None, files_folder=None, schemas_folder=None, api_headers=None, api_params=None, file_ids=None, metadata=None, model='gpt-4o-2024-08-06', validation_attempts=1, max_prompt_tokens=None, max_completion_tokens=None, truncation_strategy=None, examples=None, file_search=None, parallel_tool_calls=True, refresh_from_id=True)
Initializes an Agent with specified attributes, tools, and OpenAI client.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
id
|
str
|
Loads the assistant from OpenAI assistant ID. Assistant will be created or loaded from settings if ID is not provided. Defaults to None. |
None
|
name
|
str
|
Name of the agent. Defaults to the class name if not provided. |
None
|
description
|
str
|
A brief description of the agent's purpose. Defaults to None. |
None
|
instructions
|
str
|
Path to a file containing specific instructions for the agent. Defaults to an empty string. |
''
|
tools
|
List[Union[Type[BaseTool], Type[Retrieval], Type[CodeInterpreter]]]
|
A list of tools (as classes) that the agent can use. Defaults to an empty list. |
None
|
tool_resources
|
ToolResources
|
A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the code_interpreter tool requires a list of file IDs, while the file_search tool requires a list of vector store IDs. Defaults to None. |
None
|
temperature
|
float
|
The temperature parameter for the OpenAI API. Defaults to None. |
None
|
top_p
|
float
|
The top_p parameter for the OpenAI API. Defaults to None. |
None
|
response_format
|
Union[str, Dict, type]
|
The response format for the OpenAI API. If BaseModel is provided, it will be converted to a response format. Defaults to None. |
'auto'
|
tools_folder
|
str
|
Path to a directory containing tools associated with the agent. Each tool must be defined in a separate file. File must be named as the class name of the tool. Defaults to None. |
None
|
files_folder
|
Union[List[str], str]
|
Path or list of paths to directories containing files associated with the agent. Defaults to None. |
None
|
schemas_folder
|
Union[List[str], str]
|
Path or list of paths to directories containing OpenAPI schemas associated with the agent. Defaults to None. |
None
|
api_headers
|
Dict[str, Dict[str, str]]
|
Headers to be used for the openapi requests. Each key must be a full filename from schemas_folder. Defaults to an empty dictionary. |
None
|
api_params
|
Dict[str, Dict[str, str]]
|
Extra params to be used for the openapi requests. Each key must be a full filename from schemas_folder. Defaults to an empty dictionary. |
None
|
metadata
|
Dict[str, str]
|
Metadata associated with the agent. Defaults to an empty dictionary. |
None
|
model
|
str
|
The model identifier for the OpenAI API. Defaults to "gpt-4o". |
'gpt-4o-2024-08-06'
|
validation_attempts
|
int
|
Number of attempts to validate the response with response_validator function. Defaults to 1. |
1
|
max_prompt_tokens
|
int
|
Maximum number of tokens allowed in the prompt. Defaults to None. |
None
|
max_completion_tokens
|
int
|
Maximum number of tokens allowed in the completion. Defaults to None. |
None
|
truncation_strategy
|
TruncationStrategy
|
Truncation strategy for the OpenAI API. Defaults to None. |
None
|
examples
|
List[Dict]
|
A list of example messages for the agent. Defaults to None. |
None
|
file_search
|
FileSearchConfig
|
A dictionary containing the file search tool configuration. Defaults to None. |
None
|
parallel_tool_calls
|
bool
|
Whether to enable parallel function calling during tool use. Defaults to True. |
True
|
refresh_from_id
|
bool
|
Whether to load and update the agent from the OpenAI assistant ID when provided. Defaults to True. |
True
|
This constructor sets up the agent with its unique properties, initializes the OpenAI client, reads instructions if provided, and uploads any associated files.
Source code in agency_swarm/agents/agent.py
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delete()
Deletes assistant, all vector stores, and all files associated with the agent.
get_openapi_schema(url)
Get openapi schema that contains all tools from the agent as different api paths. Make sure to call this after agency has been initialized.
Source code in agency_swarm/agents/agent.py
init_oai()
Initializes the OpenAI assistant for the agent.
This method handles the initialization and potential updates of the agent's OpenAI assistant. It loads the assistant based on a saved ID, updates the assistant if necessary, or creates a new assistant if it doesn't exist. After initialization or update, it saves the assistant's settings.
Output
self: Returns the agent instance for chaining methods or further processing.
Source code in agency_swarm/agents/agent.py
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response_validator(message)
Validates the response from the agent. If the response is invalid, it must raise an exception with instructions for the caller agent on how to proceed.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
message
|
str
|
The response from the agent. |
required |
Returns:
Name | Type | Description |
---|---|---|
str |
str
|
The validated response. |
Source code in agency_swarm/agents/agent.py
Agency
Source code in agency_swarm/agency/agency.py
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__init__(agency_chart, shared_instructions='', shared_files=None, async_mode=None, send_message_tool_class=SendMessage, settings_path='./settings.json', settings_callbacks=None, threads_callbacks=None, temperature=0.3, top_p=1.0, max_prompt_tokens=None, max_completion_tokens=None, truncation_strategy=None)
Initializes the Agency object, setting up agents, threads, and core functionalities.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
agency_chart
|
List
|
The structure defining the hierarchy and interaction of agents within the agency. |
required |
shared_instructions
|
str
|
A path to a file containing shared instructions for all agents. Defaults to an empty string. |
''
|
shared_files
|
Union[str, List[str]]
|
A path to a folder or a list of folders containing shared files for all agents. Defaults to None. |
None
|
async_mode
|
str
|
Specifies the mode for asynchronous processing. In "threading" mode, all sub-agents run in separate threads. In "tools_threading" mode, all tools run in separate threads, but agents do not. Defaults to None. |
None
|
send_message_tool_class
|
Type[SendMessageBase]
|
The class to use for the send_message tool. For async communication, use |
SendMessage
|
settings_path
|
str
|
The path to the settings file for the agency. Must be json. If file does not exist, it will be created. Defaults to None. |
'./settings.json'
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settings_callbacks
|
SettingsCallbacks
|
A dictionary containing functions to load and save settings for the agency. The keys must be "load" and "save". Both values must be defined. Defaults to None. |
None
|
threads_callbacks
|
ThreadsCallbacks
|
A dictionary containing functions to load and save threads for the agency. The keys must be "load" and "save". Both values must be defined. Defaults to None. |
None
|
temperature
|
float
|
The temperature value to use for the agents. Agent-specific values will override this. Defaults to 0.3. |
0.3
|
top_p
|
float
|
The top_p value to use for the agents. Agent-specific values will override this. Defaults to None. |
1.0
|
max_prompt_tokens
|
int
|
The maximum number of tokens allowed in the prompt for each agent. Agent-specific values will override this. Defaults to None. |
None
|
max_completion_tokens
|
int
|
The maximum number of tokens allowed in the completion for each agent. Agent-specific values will override this. Defaults to None. |
None
|
truncation_strategy
|
dict
|
The truncation strategy to use for the completion for each agent. Agent-specific values will override this. Defaults to None. |
None
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This constructor initializes various components of the Agency, including CEO, agents, threads, and user interactions. It parses the agency chart to set up the organizational structure and initializes the messaging tools, agents, and threads necessary for the operation of the agency. Additionally, it prepares a main thread for user interactions.
Source code in agency_swarm/agency/agency.py
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delete()
This method deletes the agency and all its agents, cleaning up any files and vector stores associated with each agent.
demo_gradio(height=450, dark_mode=True, **kwargs)
Launches a Gradio-based demo interface for the agency chatbot.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
height
|
int
|
The height of the chatbot widget in the Gradio interface. Default is 600. |
450
|
dark_mode
|
bool
|
Flag to determine if the interface should be displayed in dark mode. Default is True. |
True
|
**kwargs
|
Additional keyword arguments to be passed to the Gradio interface. |
{}
|
This method sets up and runs a Gradio interface, allowing users to interact with the agency's chatbot. It includes a text input for the user's messages and a chatbot interface for displaying the conversation. The method handles user input and chatbot responses, updating the interface dynamically.
Source code in agency_swarm/agency/agency.py
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get_completion(message, message_files=None, yield_messages=False, recipient_agent=None, additional_instructions=None, attachments=None, tool_choice=None, verbose=False, response_format=None)
Retrieves the completion for a given message from the main thread.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
message
|
str
|
The message for which completion is to be retrieved. |
required |
message_files
|
list
|
A list of file ids to be sent as attachments with the message. When using this parameter, files will be assigned both to file_search and code_interpreter tools if available. It is recommended to assign files to the most sutiable tool manually, using the attachments parameter. Defaults to None. |
None
|
yield_messages
|
bool
|
Flag to determine if intermediate messages should be yielded. Defaults to True. |
False
|
recipient_agent
|
Agent
|
The agent to which the message should be sent. Defaults to the first agent in the agency chart. |
None
|
additional_instructions
|
str
|
Additional instructions to be sent with the message. Defaults to None. |
None
|
attachments
|
List[dict]
|
A list of attachments to be sent with the message, following openai format. Defaults to None. |
None
|
tool_choice
|
dict
|
The tool choice for the recipient agent to use. Defaults to None. |
None
|
parallel_tool_calls
|
bool
|
Whether to enable parallel function calling during tool use. Defaults to True. |
required |
verbose
|
bool
|
Whether to print the intermediary messages in console. Defaults to False. |
False
|
response_format
|
dict
|
The response format to use for the completion. |
None
|
Returns:
Type | Description |
---|---|
Generator or final response: Depending on the 'yield_messages' flag, this method returns either a generator yielding intermediate messages or the final response from the main thread. |
Source code in agency_swarm/agency/agency.py
get_completion_parse(message, response_format, message_files=None, recipient_agent=None, additional_instructions=None, attachments=None, tool_choice=None, verbose=False)
Retrieves the completion for a given message from the main thread and parses the response using the provided pydantic model.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
message
|
str
|
The message for which completion is to be retrieved. |
required |
response_format
|
type(BaseModel
|
The response format to use for the completion. |
required |
message_files
|
list
|
A list of file ids to be sent as attachments with the message. When using this parameter, files will be assigned both to file_search and code_interpreter tools if available. It is recommended to assign files to the most sutiable tool manually, using the attachments parameter. Defaults to None. |
None
|
recipient_agent
|
Agent
|
The agent to which the message should be sent. Defaults to the first agent in the agency chart. |
None
|
additional_instructions
|
str
|
Additional instructions to be sent with the message. Defaults to None. |
None
|
attachments
|
List[dict]
|
A list of attachments to be sent with the message, following openai format. Defaults to None. |
None
|
tool_choice
|
dict
|
The tool choice for the recipient agent to use. Defaults to None. |
None
|
verbose
|
bool
|
Whether to print the intermediary messages in console. Defaults to False. |
False
|
Returns:
Type | Description |
---|---|
T
|
Final response: The final response from the main thread, parsed using the provided pydantic model. |
Source code in agency_swarm/agency/agency.py
get_completion_stream(message, event_handler, message_files=None, recipient_agent=None, additional_instructions=None, attachments=None, tool_choice=None, response_format=None)
Generates a stream of completions for a given message from the main thread.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
message
|
str
|
The message for which completion is to be retrieved. |
required |
event_handler
|
type(AgencyEventHandler
|
The event handler class to handle the completion stream. https://github.com/openai/openai-python/blob/main/helpers.md |
required |
message_files
|
list
|
A list of file ids to be sent as attachments with the message. When using this parameter, files will be assigned both to file_search and code_interpreter tools if available. It is recommended to assign files to the most sutiable tool manually, using the attachments parameter. Defaults to None. |
None
|
recipient_agent
|
Agent
|
The agent to which the message should be sent. Defaults to the first agent in the agency chart. |
None
|
additional_instructions
|
str
|
Additional instructions to be sent with the message. Defaults to None. |
None
|
attachments
|
List[dict]
|
A list of attachments to be sent with the message, following openai format. Defaults to None. |
None
|
tool_choice
|
dict
|
The tool choice for the recipient agent to use. Defaults to None. |
None
|
parallel_tool_calls
|
bool
|
Whether to enable parallel function calling during tool use. Defaults to True. |
required |
Returns:
Type | Description |
---|---|
Final response: Final response from the main thread. |
Source code in agency_swarm/agency/agency.py
get_customgpt_schema(url)
Returns the OpenAPI schema for the agency from the CEO agent, that you can use to integrate with custom gpts.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
url
|
str
|
Your server url where the api will be hosted. |
required |
Source code in agency_swarm/agency/agency.py
run_demo()
Executes agency in the terminal with autocomplete for recipient agent names.
Source code in agency_swarm/agency/agency.py
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|
ToolFactory
Source code in agency_swarm/tools/ToolFactory.py
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|
from_file(file_path)
staticmethod
Dynamically imports a BaseTool class from a Python file within a package structure.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
file_path
|
str
|
The file path to the Python file containing the BaseTool class. |
required |
Returns:
Type | Description |
---|---|
Type[BaseTool]
|
The imported BaseTool class. |
Source code in agency_swarm/tools/ToolFactory.py
from_langchain_tool(tool)
staticmethod
Converts a langchain tool into a BaseTool.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
tool
|
The langchain tool to convert. |
required |
Returns:
Type | Description |
---|---|
Type[BaseTool]
|
A BaseTool. |
Source code in agency_swarm/tools/ToolFactory.py
from_langchain_tools(tools)
staticmethod
Converts a list of langchain tools into a list of BaseTools.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
tools
|
List
|
The langchain tools to convert. |
required |
Returns:
Type | Description |
---|---|
List[Type[BaseTool]]
|
A list of BaseTools. |
Source code in agency_swarm/tools/ToolFactory.py
from_openai_schema(schema, callback)
staticmethod
Converts an OpenAI schema into a BaseTool.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
schema
|
Dict[str, Any]
|
The OpenAI schema to convert. |
required |
callback
|
Any
|
The function to run when the tool is called. |
required |
Returns:
Type | Description |
---|---|
Type[BaseTool]
|
A BaseTool. |
Source code in agency_swarm/tools/ToolFactory.py
from_openapi_schema(schema, headers=None, params=None, strict=False)
staticmethod
Converts an OpenAPI schema into a list of BaseTools.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
schema
|
Union[str, dict]
|
The OpenAPI schema to convert. |
required |
headers
|
Dict[str, str]
|
The headers to use for requests. |
None
|
params
|
Dict[str, Any]
|
The parameters to use for requests. |
None
|
strict
|
bool
|
Whether to use strict OpenAI mode. |
False
|
Returns: A list of BaseTools.
Source code in agency_swarm/tools/ToolFactory.py
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|
get_openapi_schema(tools, url, title='Agent Tools', description='A collection of tools.')
staticmethod
Generates an OpenAPI schema from a list of BaseTools.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
tools
|
List[Type[BaseTool]]
|
BaseTools to generate the schema from. |
required |
url
|
str
|
The base URL for the schema. |
required |
title
|
The title of the schema. |
'Agent Tools'
|
|
description
|
The description of the schema. |
'A collection of tools.'
|
Returns:
Type | Description |
---|---|
str
|
A JSON string representing the OpenAPI schema with all the tools combined as separate endpoints. |