Add support for retrieving specific component output
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2 changed files with 19 additions and 11 deletions
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@ -74,9 +74,11 @@ async def simplified_run_flow(
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- `input_value` (Optional[str], default=""): Input value to pass to the flow.
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- `input_type` (Optional[Literal["chat", "text", "any"]], default="chat"): Type of the input value, determining how the input is interpreted.
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- `output_type` (Optional[Literal["chat", "text", "any", "debug"]], default="chat"): Desired type of output, affecting which components' outputs are included in the response. If set to "debug", all outputs are returned.
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- `output_component` (Optional[str], default=None): Specific component output to retrieve. If provided, only the output of the specified component is returned. This overrides the `output_type` parameter.
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- `tweaks` (Optional[Tweaks], default=None): Adjustments to the flow's behavior, allowing for custom execution parameters.
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- `session_id` (Optional[str], default=None): An identifier for reusing session data, aiding in performance for subsequent requests.
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### Tweaks
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A dictionary of tweaks to customize the flow execution. The tweaks can be used to modify the flow's parameters and components. Tweaks can be overridden by the input values.
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You can use Component's `id` or Display Name as key to tweak a specific component (e.g., `{"Component Name": {"parameter_name": "value"}}`).
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@ -135,15 +137,18 @@ async def simplified_run_flow(
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# if the output type is debug, we return all outputs
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# if the output type is any, we return all outputs that are either chat or text
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# if the output type is chat or text, we return only the outputs that match the type
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outputs = [
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vertex.id
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for vertex in graph.vertices
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if input_request.output_type == "debug"
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or (
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vertex.is_output
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and (input_request.output_type == "any" or input_request.output_type in vertex.id.lower())
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)
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]
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if input_request.output_component:
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outputs = [input_request.output_component]
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else:
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outputs = [
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vertex.id
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for vertex in graph.vertices
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if input_request.output_type == "debug"
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or (
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vertex.is_output
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and (input_request.output_type == "any" or input_request.output_type in vertex.id.lower())
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)
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]
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task_result, session_id = await run_graph(
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graph=graph,
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flow_id=flow_id,
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@ -1,7 +1,7 @@
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from datetime import datetime
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from enum import Enum
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from pathlib import Path
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from typing import Any, Dict, List, Literal, Optional, Union
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from typing import Any, Dict, List, Optional, Union
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from uuid import UUID
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from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator, model_serializer
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@ -9,7 +9,6 @@ from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator, m
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from langflow.graph.schema import RunOutputs
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from langflow.schema import dotdict
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from langflow.schema.schema import InputType, OutputType
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from langflow.schema.schema import InputType, OutputType
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from langflow.services.database.models.api_key.model import ApiKeyRead
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from langflow.services.database.models.base import orjson_dumps
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from langflow.services.database.models.flow import FlowCreate, FlowRead
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@ -318,5 +317,9 @@ class SimplifiedAPIRequest(BaseModel):
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input_value: Optional[str] = Field(default="", description="The input value")
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input_type: Optional[InputType] = Field(default="chat", description="The input type")
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output_type: Optional[OutputType] = Field(default="chat", description="The output type")
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output_component: Optional[str] = Field(
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default="",
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description="If there are multiple output components, you can specify the component to get the output from.",
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)
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tweaks: Optional[Tweaks] = Field(default=None, description="The tweaks")
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session_id: Optional[str] = Field(default=None, description="The session id")
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