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feat: implementation of PythonFunction and class based templates

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This commit is contained in:
Gabriel Almeida 2023-03-26 21:05:11 -03:00
commit a788d93682
13 changed files with 432 additions and 222 deletions
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poetry.lock generated
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@ -220,14 +220,14 @@ files = [
[[package]] [[package]]
name = "beautifulsoup4" name = "beautifulsoup4"
version = "4.11.2" version = "4.12.0"
description = "Screen-scraping library" description = "Screen-scraping library"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.6.0" python-versions = ">=3.6.0"
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@ -502,21 +502,23 @@ files = [
[[package]] [[package]]
name = "comm" name = "comm"
version = "0.1.2" version = "0.1.3"
description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
category = "dev" category = "dev"
optional = false optional = false
python-versions = ">=3.6" python-versions = ">=3.6"
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[package.dependencies] [package.dependencies]
traitlets = ">=5.3" traitlets = ">=5.3"
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lint = ["black (>=22.6.0)", "mdformat (>0.7)", "mdformat-gfm (>=0.3.5)", "ruff (>=0.0.156)"]
test = ["pytest"] test = ["pytest"]
typing = ["mypy (>=0.990)"]
[[package]] [[package]]
name = "dataclasses-json" name = "dataclasses-json"
@ -723,14 +725,14 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
[[package]] [[package]]
name = "google-api-python-client" name = "google-api-python-client"
version = "2.81.0" version = "2.82.0"
description = "Google API Client Library for Python" description = "Google API Client Library for Python"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
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[package.dependencies] [package.dependencies]
@ -742,14 +744,14 @@ uritemplate = ">=3.0.1,<5"
[[package]] [[package]]
name = "google-auth" name = "google-auth"
version = "2.16.2" version = "2.16.3"
description = "Google Authentication Library" description = "Google Authentication Library"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*" python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
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[package.dependencies] [package.dependencies]
@ -798,14 +800,14 @@ requests = "*"
[[package]] [[package]]
name = "googleapis-common-protos" name = "googleapis-common-protos"
version = "1.58.0" version = "1.59.0"
description = "Common protobufs used in Google APIs" description = "Common protobufs used in Google APIs"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
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@ -921,21 +923,67 @@ files = [
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[[package]]
name = "httpcore"
version = "0.16.3"
description = "A minimal low-level HTTP client."
category = "dev"
optional = false
python-versions = ">=3.7"
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anyio = ">=3.0,<5.0"
certifi = "*"
h11 = ">=0.13,<0.15"
sniffio = ">=1.0.0,<2.0.0"
[package.extras]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (>=1.0.0,<2.0.0)"]
[[package]] [[package]]
name = "httplib2" name = "httplib2"
version = "0.21.0" version = "0.22.0"
description = "A comprehensive HTTP client library." description = "A comprehensive HTTP client library."
category = "main" category = "main"
optional = false optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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[[package]]
name = "httpx"
version = "0.23.3"
description = "The next generation HTTP client."
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
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rfc3986 = {version = ">=1.3,<2", extras = ["idna2008"]}
sniffio = "*"
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brotli = ["brotli", "brotlicffi"]
cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<13)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (>=1.0.0,<2.0.0)"]
[[package]] [[package]]
name = "idna" name = "idna"
version = "3.4" version = "3.4"
@ -970,14 +1018,14 @@ testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packag
[[package]] [[package]]
name = "ipykernel" name = "ipykernel"
version = "6.21.3" version = "6.22.0"
description = "IPython Kernel for Jupyter" description = "IPython Kernel for Jupyter"
category = "dev" category = "dev"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
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@ -1063,14 +1111,14 @@ testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
[[package]] [[package]]
name = "jupyter-client" name = "jupyter-client"
version = "8.0.3" version = "8.1.0"
description = "Jupyter protocol implementation and client libraries" description = "Jupyter protocol implementation and client libraries"
category = "dev" category = "dev"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
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@ -1468,19 +1516,19 @@ files = [
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name = "platformdirs" name = "platformdirs"
version = "3.1.1" version = "3.2.0"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
category = "dev" category = "dev"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
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[[package]] [[package]]
name = "prompt-toolkit" name = "prompt-toolkit"
@ -1615,48 +1663,48 @@ files = [
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] ]
[package.dependencies] [package.dependencies]
@ -1897,6 +1945,24 @@ urllib3 = ">=1.21.1,<1.27"
socks = ["PySocks (>=1.5.6,!=1.5.7)"] socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "rfc3986"
version = "1.5.0"
description = "Validating URI References per RFC 3986"
category = "dev"
optional = false
python-versions = "*"
files = [
{file = "rfc3986-1.5.0-py2.py3-none-any.whl", hash = "sha256:a86d6e1f5b1dc238b218b012df0aa79409667bb209e58da56d0b94704e712a97"},
{file = "rfc3986-1.5.0.tar.gz", hash = "sha256:270aaf10d87d0d4e095063c65bf3ddbc6ee3d0b226328ce21e036f946e421835"},
]
[package.dependencies]
idna = {version = "*", optional = true, markers = "extra == \"idna2008\""}
[package.extras]
idna2008 = ["idna"]
[[package]] [[package]]
name = "rsa" name = "rsa"
version = "4.9" version = "4.9"
@ -2419,4 +2485,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.9" python-versions = "^3.9"
content-hash = "9acd2b7396be651321ac517873a398d1631a76918fefdb003f7f587f031d9ba1" content-hash = "a2269e1fe41c277e36755ee7ea1ccf9139970be4408ac8c8fe79773213e408a9"

1
pyproject.toml
View file

@ -38,6 +38,7 @@ black = "^23.1.0"
ipykernel = "^6.21.2" ipykernel = "^6.21.2"
mypy = "^1.1.1" mypy = "^1.1.1"
ruff = "^0.0.254" ruff = "^0.0.254"
httpx = "^0.23.3"
[build-system] [build-system]
requires = ["poetry-core"] requires = ["poetry-core"]

2
src/backend/langflow/config.yaml
View file

@ -20,6 +20,8 @@ tools:
- PAL-MATH - PAL-MATH
- Calculator - Calculator
- Serper Search - Serper Search
- Tool
- PythonFunction
memories: memories:
# - ConversationBufferMemory # - ConversationBufferMemory

14
src/backend/langflow/custom/customs.py
View file

@ -1,6 +1,12 @@
from langflow.node.nodes import ZeroShotPromptNode from langflow.node import nodes
def get_custom_prompts(): CUSTOM_NODES = {
"""Get custom prompts.""" "prompts": {**nodes.ZeroShotPromptNode().to_dict()},
return ZeroShotPromptNode().to_dict() "tools": {**nodes.PythonFunctionNode().to_dict(), **nodes.ToolNode().to_dict()},
}
def get_custom_nodes(node_type: str):
"""Get custom nodes."""
return CUSTOM_NODES.get(node_type, [])

13
src/backend/langflow/interface/custom_types.py Normal file
View file

@ -0,0 +1,13 @@
from pydantic import BaseModel, validator
from langchain.agents import tool
class PythonFunction(BaseModel):
code: str
# Validate the function
@validator("code")
def validate_func(cls, v):
# Validate with LangChain's tool decorator
tool(v)
return v

4
src/backend/langflow/interface/importing.py
View file

@ -8,7 +8,7 @@ from langchain.agents import Agent
from langchain.chains.base import Chain from langchain.chains.base import Chain
from langchain.llms.base import BaseLLM from langchain.llms.base import BaseLLM
from langchain.tools import BaseTool from langchain.tools import BaseTool
from langflow.utils.util import get_tools_dict from langflow.utils.util import get_tool_by_name
def import_module(module_path: str) -> Any: def import_module(module_path: str) -> Any:
@ -55,7 +55,7 @@ def import_llm(llm: str) -> BaseLLM:
def import_tool(tool: str) -> BaseTool: def import_tool(tool: str) -> BaseTool:
"""Import tool from tool name""" """Import tool from tool name"""
return get_tools_dict(tool) return get_tool_by_name(tool)
def import_chain(chain: str) -> Chain: def import_chain(chain: str) -> Chain:

12
src/backend/langflow/interface/listing.py
View file

@ -17,13 +17,13 @@ def get_type_dict():
"prompts": list_prompts, "prompts": list_prompts,
"llms": list_llms, "llms": list_llms,
"tools": list_tools, "tools": list_tools,
# "memories": list_memories, "memories": list_memories,
} }
def list_type(object_type: str): def list_type(object_type: str):
"""List all components""" """List all components"""
return get_type_dict().get(object_type, lambda: "Invalid type")() return get_type_dict().get(object_type, lambda: None)()
def list_agents(): def list_agents():
@ -37,7 +37,7 @@ def list_agents():
def list_prompts(): def list_prompts():
"""List all prompt types""" """List all prompt types"""
custom_prompts = customs.get_custom_prompts() custom_prompts = customs.get_custom_nodes("prompts")
library_prompts = [ library_prompts = [
prompt.__annotations__["return"].__name__ prompt.__annotations__["return"].__name__
for prompt in prompts.loading.type_to_loader_dict.values() for prompt in prompts.loading.type_to_loader_dict.values()
@ -52,11 +52,13 @@ def list_tools():
tools = [] tools = []
for tool in get_all_tool_names(): for tool in get_all_tool_names():
tool_params = util.get_tool_params(util.get_tools_dict(tool)) tool_params = util.get_tool_params(util.get_tool_by_name(tool))
if tool_params and tool_params["name"] in settings.tools or settings.dev: if tool_params and tool_params["name"] in settings.tools or settings.dev:
tools.append(tool_params["name"]) tools.append(tool_params["name"])
return tools # Add Tool
custom_tools = customs.get_custom_nodes("tools")
return tools + list(custom_tools.keys())
def list_llms(): def list_llms():

2
src/backend/langflow/interface/loading.py
View file

@ -41,7 +41,7 @@ def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
# which will be a str containing a python function # which will be a str containing a python function
# and then we need to compile it and return the function # and then we need to compile it and return the function
# as the instance # as the instance
function_string = params["function"] function_string = params["code"]
if isinstance(function_string, str): if isinstance(function_string, str):
return util.eval_function(function_string) return util.eval_function(function_string)
raise ValueError("Function should be a string") raise ValueError("Function should be a string")

39
src/backend/langflow/interface/signature.py
View file

@ -15,6 +15,7 @@ from langflow.interface.custom_lists import (
memory_type_to_cls_dict, memory_type_to_cls_dict,
) )
from langflow.utils import util from langflow.utils import util
from langflow.utils.constants import CUSTOM_TOOLS
def get_signature(name: str, object_type: str): def get_signature(name: str, object_type: str):
@ -53,8 +54,8 @@ def get_agent_signature(name: str):
def get_prompt_signature(name: str): def get_prompt_signature(name: str):
"""Get the signature of a prompt.""" """Get the signature of a prompt."""
try: try:
if name in customs.get_custom_prompts().keys(): if name in customs.get_custom_nodes("prompts").keys():
return customs.get_custom_prompts()[name] return customs.get_custom_nodes("prompts")[name]
return util.build_template_from_function( return util.build_template_from_function(
name, prompts.loading.type_to_loader_dict name, prompts.loading.type_to_loader_dict
) )
@ -82,12 +83,14 @@ def get_tool_signature(name: str):
"""Get the signature of a tool.""" """Get the signature of a tool."""
NODE_INPUTS = ["llm", "func"] NODE_INPUTS = ["llm", "func"]
base_classes = ["Tool"]
all_tools = {} all_tools = {}
for tool in get_all_tool_names(): all_tool_names = get_all_tool_names() + list(CUSTOM_TOOLS.keys())
if tool_params := util.get_tool_params(util.get_tools_dict(tool)): for tool in all_tool_names:
all_tools[tool_params["name"]] = tool if tool_params := util.get_tool_params(util.get_tool_by_name(tool)):
tool_name = tool_params.get("name") or str(tool)
all_tools[tool_name] = {"type": tool, "params": tool_params}
all_tools["BaseTool"] = "BaseTool"
# Raise error if name is not in tools # Raise error if name is not in tools
if name not in all_tools.keys(): if name not in all_tools.keys():
raise ValueError("Tool not found") raise ValueError("Tool not found")
@ -110,9 +113,17 @@ def get_tool_signature(name: str):
"value": "", "value": "",
"multiline": True, "multiline": True,
}, },
"code": {
"type": "str",
"required": True,
"list": False,
"show": True,
"value": "",
"multiline": True,
},
} }
tool_type = all_tools[name] tool_type = all_tools[name]["type"]
if tool_type in _BASE_TOOLS: if tool_type in _BASE_TOOLS:
params = [] params = []
@ -124,8 +135,13 @@ def get_tool_signature(name: str):
elif tool_type in _EXTRA_OPTIONAL_TOOLS: elif tool_type in _EXTRA_OPTIONAL_TOOLS:
_, extra_keys = _EXTRA_OPTIONAL_TOOLS[tool_type] _, extra_keys = _EXTRA_OPTIONAL_TOOLS[tool_type]
params = extra_keys params = extra_keys
elif tool_type == "BaseTool": elif tool_type == "Tool":
params = ["name", "description", "func"] params = ["name", "description", "func"]
elif tool_type in CUSTOM_TOOLS:
# Get custom tool params
params = all_tools[name]["params"]
base_classes = ["function"]
else: else:
params = [] params = []
@ -142,9 +158,8 @@ def get_tool_signature(name: str):
template["aiosession"]["show"] = False template["aiosession"]["show"] = False
template["_type"] = tool_type # type: ignore template["_type"] = tool_type # type: ignore
return { return {
"template": template, "template": util.format_dict(template),
**util.get_tool_params(util.get_tools_dict(tool_type)), **util.get_tool_params(util.get_tool_by_name(tool_type)),
"base_classes": ["Tool"], "base_classes": base_classes,
} }

71
src/backend/langflow/node/nodes.py
View file

@ -1,9 +1,10 @@
from langflow.node.template import Field, FrontendNode, Template from langflow.node.template import Field, FrontendNode, Template
from langchain.agents.mrkl import prompt from langchain.agents.mrkl import prompt
from langflow.utils.constants import DEFAULT_PYTHON_FUNCTION
class ZeroShotPromptNode(FrontendNode): class ZeroShotPromptNode(FrontendNode):
_name = "ZeroShotPrompt" name = "ZeroShotPrompt"
template = Template( template = Template(
type_name="zero_shot", type_name="zero_shot",
fields=[ fields=[
@ -44,3 +45,71 @@ class ZeroShotPromptNode(FrontendNode):
def to_dict(self): def to_dict(self):
return super().to_dict() return super().to_dict()
class PythonFunctionNode(FrontendNode):
name = "PythonFunction"
template = Template(
type_name="python_function",
fields=[
Field(
field_type="str",
required=True,
placeholder="",
is_list=False,
show=True,
multiline=True,
value=DEFAULT_PYTHON_FUNCTION,
name="code",
),
],
)
description = "Python function to be executed."
base_classes = ["function"]
def to_dict(self):
return super().to_dict()
class ToolNode(FrontendNode):
name = "Tool"
template = Template(
type_name="tool",
fields=[
Field(
field_type="str",
required=True,
placeholder="",
is_list=False,
show=True,
multiline=True,
value="",
name="name",
),
Field(
field_type="str",
required=True,
placeholder="",
is_list=False,
show=True,
multiline=True,
value="",
name="description",
),
Field(
field_type="str",
required=True,
placeholder="",
is_list=False,
show=True,
multiline=True,
value="",
name="func",
),
],
)
description = "Tool to be used in the flow."
base_classes = ["BaseTool"]
def to_dict(self):
return super().to_dict()

8
src/backend/langflow/node/template.py
View file

@ -15,7 +15,9 @@ class Field(BaseModel):
name: str = None name: str = None
def to_dict(self): def to_dict(self):
return self.dict() result = self.dict()
result["type"] = result.pop("field_type")
return result
class Template(BaseModel): class Template(BaseModel):
@ -32,11 +34,11 @@ class FrontendNode(BaseModel):
template: Template template: Template
description: str description: str
base_classes: list base_classes: list
_name: str = None name: str = None
def to_dict(self): def to_dict(self):
return { return {
self._name: { self.name: {
"template": self.template.to_dict(), "template": self.template.to_dict(),
"description": self.description, "description": self.description,
"base_classes": self.base_classes, "base_classes": self.base_classes,

9
src/backend/langflow/utils/constants.py
View file

@ -1,4 +1,5 @@
from langchain.agents import Tool
from langflow.interface.custom_types import PythonFunction
OPENAI_MODELS = [ OPENAI_MODELS = [
"text-davinci-003", "text-davinci-003",
@ -9,3 +10,9 @@ OPENAI_MODELS = [
] ]
CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"] CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"]
CUSTOM_TOOLS = {"Tool": Tool, "PythonFunction": PythonFunction}
DEFAULT_PYTHON_FUNCTION = """
def python_function(text: str) -> str:
return text
"""

95
src/backend/langflow/utils/util.py
View file

@ -14,7 +14,6 @@ from langchain.agents.load_tools import (
from langchain.agents.tools import Tool from langchain.agents.tools import Tool
from langchain.tools import BaseTool
from langflow.utils import constants from langflow.utils import constants
@ -164,42 +163,38 @@ def get_default_factory(module: str, function: str):
return None return None
class GenericTool(Tool): def get_tools_dict():
"""Base class for all tools."""
def default_func(self, **kwargs):
"""Default function for the tool."""
return "Default function"
def __init__(
self,
name: str = "Tool name",
description: str = "Tool description",
func: callable = None,
):
"""Initialize the tool."""
super().__init__(name=name, description=description, func=func)
def get_base_tool(name, description, func: callable) -> BaseTool:
return GenericTool(func=func, name="Generic Tool", description="Bacon")
def get_tools_dict(name: Optional[str] = None):
"""Get the tools dictionary.""" """Get the tools dictionary."""
tools = { tools = {
**_BASE_TOOLS, **_BASE_TOOLS,
**_LLM_TOOLS, # type: ignore **_LLM_TOOLS,
**{k: v[0] for k, v in _EXTRA_LLM_TOOLS.items()}, # type: ignore **{k: v[0] for k, v in _EXTRA_LLM_TOOLS.items()},
**{k: v[0] for k, v in _EXTRA_OPTIONAL_TOOLS.items()}, **{k: v[0] for k, v in _EXTRA_OPTIONAL_TOOLS.items()},
**constants.CUSTOM_TOOLS,
} }
tools.update({"BaseTool": get_base_tool}) return tools
return tools[name] if name else tools
def get_tool_params(func, **kwargs): def get_tool_by_name(name: str):
"""Get a tool from the tools dictionary."""
tools = get_tools_dict()
if name not in tools:
raise ValueError(f"{name} not found.")
return tools[name]
def get_tool_params(tool, **kwargs):
# Parse the function code into an abstract syntax tree # Parse the function code into an abstract syntax tree
# Define if it is a function or a class
if inspect.isfunction(tool):
return get_func_tool_params(tool, **kwargs)
elif inspect.isclass(tool):
# Get the parameters necessary to
# instantiate the class
return get_class_tool_params(tool, **kwargs)
def get_func_tool_params(func, **kwargs):
tree = ast.parse(inspect.getsource(func)) tree = ast.parse(inspect.getsource(func))
# Iterate over the statements in the abstract syntax tree # Iterate over the statements in the abstract syntax tree
@ -208,7 +203,7 @@ def get_tool_params(func, **kwargs):
if isinstance(node, ast.Return): if isinstance(node, ast.Return):
tool = node.value tool = node.value
if isinstance(tool, ast.Call): if isinstance(tool, ast.Call):
if tool.func.id == "Tool": if isinstance(tool.func, ast.Name) and tool.func.id == "Tool":
if tool.keywords: if tool.keywords:
tool_params = {} tool_params = {}
for keyword in tool.keywords: for keyword in tool.keywords:
@ -224,6 +219,7 @@ def get_tool_params(func, **kwargs):
"name": ast.literal_eval(tool.args[0]), "name": ast.literal_eval(tool.args[0]),
"description": ast.literal_eval(tool.args[2]), "description": ast.literal_eval(tool.args[2]),
} }
#
else: else:
# get the class object from the return statement # get the class object from the return statement
try: try:
@ -237,11 +233,42 @@ def get_tool_params(func, **kwargs):
"name": getattr(class_obj, "name"), "name": getattr(class_obj, "name"),
"description": getattr(class_obj, "description"), "description": getattr(class_obj, "description"),
} }
# Return None if no return statement was found
# Return None if no return statement was found
return None return None
def get_class_tool_params(cls, **kwargs):
tree = ast.parse(inspect.getsource(cls))
tool_params = {}
# Iterate over the statements in the abstract syntax tree
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef):
# Find the class definition and look for methods
for stmt in node.body:
if isinstance(stmt, ast.FunctionDef) and stmt.name == "__init__":
# There is no assignment statements in the __init__ method
# So we need to get the params from the function definition
for arg in stmt.args.args:
if arg.arg == "name":
# It should be the name of the class
tool_params[arg.arg] = cls.__name__
elif arg.arg == "self":
continue
# If there is not default value, set it to an empty string
else:
try:
tool_params[arg.arg] = ast.literal_eval(arg.annotation)
except ValueError:
tool_params[arg.arg] = ""
elif not cls == Tool and isinstance(stmt, ast.AnnAssign):
# Get the attribute name and the annotation
tool_params[stmt.target.id] = ""
return tool_params
def get_class_doc(class_name): def get_class_doc(class_name):
""" """
Extracts information from the docstring of a given class. Extracts information from the docstring of a given class.
@ -332,7 +359,7 @@ def format_dict(d, name: Optional[str] = None):
_type = _type.replace("Mapping", "dict") _type = _type.replace("Mapping", "dict")
# Change type from str to Tool # Change type from str to Tool
value["type"] = "Tool" if key in ["allowed_tools", "func"] else _type value["type"] = "Tool" if key in ["allowed_tools"] else _type
# Show or not field # Show or not field
value["show"] = bool( value["show"] = bool(
@ -351,11 +378,11 @@ def format_dict(d, name: Optional[str] = None):
# Add password field # Add password field
value["password"] = any( value["password"] = any(
text in key for text in ["password", "token", "api", "key"] text in key.lower() for text in ["password", "token", "api", "key"]
) )
# Add multline # Add multline
value["multiline"] = key in ["suffix", "prefix", "template", "examples"] value["multiline"] = key in ["suffix", "prefix", "template", "examples", "code"]
# Replace default value with actual value # Replace default value with actual value
if "default" in value: if "default" in value: