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feat(PreconfiguredToolImprovements): update the tool definitions #214

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2 changes: 1 addition & 1 deletion pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ description = "UiPath Langchain"
readme = { file = "README.md", content-type = "text/markdown" }
requires-python = ">=3.10"
dependencies = [
"uipath>=2.1.76, <2.2.0",
"uipath>=2.1.79, <2.2.0",
"langgraph>=0.5.0, <0.7.0",
"langchain-core>=0.3.34",
"langgraph-checkpoint-sqlite>=2.0.3",
Expand Down
54 changes: 38 additions & 16 deletions src/uipath_langchain/tools/preconfigured.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,28 +19,36 @@
AgentProcessToolResourceConfig,
AgentResourceConfig,
)
from uipath.eval.mocks import mockable
from uipath.models import CreateAction, InvokeProcess
from uipath.models.connections import ConnectionTokenType

logger = logging.getLogger(__name__)


def create_process_tool(resource: AgentProcessToolResourceConfig) -> Iterable[BaseTool]:
async def process(**kwargs) -> BaseModel:
input_schema: Any = create_model(resource.input_schema)
output_schema: Any = create_model(resource.output_schema)

@mockable(
name=resource.name,
description=resource.description,
input_schema=input_schema.model_json_schema(),
output_schema=output_schema.model_json_schema(),
example_calls=resource.properties.example_calls,
)
async def process(**kwargs) -> output_schema:
return interrupt(
InvokeProcess(
name=resource.name,
input_arguments=kwargs,
process_folder_path=resource.properties.folder_path,
)
)

input_schema = create_model(resource.input_schema)

class ProcessTool(StructuredTool):
@property
def OutputType(self) -> type[Output]:
return create_model(resource.output_schema)
return output_schema

yield ProcessTool(
name=resource.name,
Expand All @@ -51,7 +59,17 @@ def OutputType(self) -> type[Output]:


def create_escalation_tool_from_channel(channel: AgentEscalationChannel) -> BaseTool:
async def escalate(**kwargs) -> BaseModel:
input_schema: Any = create_model(channel.input_schema)
output_schema: Any = create_model(channel.output_schema)

@mockable(
name=channel.name,
description=channel.description,
input_schema=input_schema.model_json_schema(),
output_schema=output_schema.model_json_schema(),
example_calls=channel.properties.example_calls,
)
async def escalate(**kwargs) -> output_schema:
recipients = channel.recipients
if len(recipients) > 1:
logger.warning(
Expand All @@ -64,19 +82,15 @@ async def escalate(**kwargs) -> BaseModel:
data=kwargs,
assignee=assignee,
app_name=channel.properties.app_name,
app_folder_path=None, # Channels specify folder name but not folder path.
app_folder_key=channel.properties.resource_key,
app_key=channel.properties.resource_key,
app_version=channel.properties.app_version,
)
)

input_schema = create_model(channel.input_schema)

class EscalationTool(StructuredTool):
@property
def OutputType(self) -> type[Output]:
return create_model(channel.output_schema)
return output_schema

return EscalationTool(
name=channel.name,
Expand Down Expand Up @@ -117,7 +131,17 @@ def filter_query_params(
def create_integration_tool(
resource: AgentIntegrationToolResourceConfig,
) -> Iterable[BaseTool]:
async def integration(**kwargs) -> BaseModel:
input_schema: Any = create_model(resource.input_schema)
output_schema: Any = create_model({}) # to-fix

@mockable(
name=resource.name,
description=resource.description,
input_schema=input_schema.model_json_schema(),
output_schema=output_schema.model_json_schema(),
example_calls=resource.properties.example_calls,
)
async def integration(**kwargs) -> output_schema:
uipath = UiPath()
remote_connection = await uipath.connections.retrieve_async(
resource.properties.connection.id
Expand All @@ -127,7 +151,7 @@ async def integration(**kwargs) -> BaseModel:
)
tool_url = f"{remote_connection.api_base_uri}/v3/element/instances/{remote_connection.element_instance_id}{resource.properties.tool_path}"
tool_url = f"{tool_url}{build_query_params(resource.properties.parameters)}"
tool_url = tool_url.format(**kwargs)
tool_url = tool_url.format(kwargs)

authorization = f"{token.token_type} {token.access_token}"
method = METHOD_MAP.get(resource.properties.method, resource.properties.method)
Expand All @@ -141,12 +165,10 @@ async def integration(**kwargs) -> BaseModel:
)
return response.json()

input_schema = create_model(resource.input_schema)

class IntegrationTool(StructuredTool):
@property
def OutputType(self) -> type[Output]:
return create_model({})
return output_schema

yield IntegrationTool(
name=resource.name,
Expand Down
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