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ec2f322486
* feat: add pre call fetch configuration * docs: add NEW tags for pages about new features --------- Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
142 lines
4.1 KiB
Python
142 lines
4.1 KiB
Python
from enum import Enum
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from typing import List, Optional
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from pydantic import BaseModel, Field, ValidationError, model_validator
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class NodeType(str, Enum):
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startNode = "startCall"
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endNode = "endCall"
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agentNode = "agentNode"
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globalNode = "globalNode"
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trigger = "trigger"
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webhook = "webhook"
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qa = "qa"
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class Position(BaseModel):
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x: float
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y: float
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class VariableType(str, Enum):
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string = "string"
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number = "number"
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boolean = "boolean"
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class ExtractionVariableDTO(BaseModel):
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name: str = Field(..., min_length=1)
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type: VariableType
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prompt: Optional[str] = None
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class CustomHeaderDTO(BaseModel):
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key: str
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value: str
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class RetryConfigDTO(BaseModel):
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enabled: bool = False
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max_retries: int = 3
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retry_delay_seconds: int = 5
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class NodeDataDTO(BaseModel):
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name: str = Field(..., min_length=1)
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prompt: Optional[str] = Field(default=None)
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is_static: bool = False
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is_start: bool = False
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is_end: bool = False
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allow_interrupt: bool = False
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extraction_enabled: bool = False
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extraction_prompt: Optional[str] = None
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extraction_variables: Optional[list[ExtractionVariableDTO]] = None
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add_global_prompt: bool = True
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greeting: Optional[str] = None
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wait_for_user_response: bool = False
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wait_for_user_response_timeout: Optional[float] = None
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detect_voicemail: bool = False
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delayed_start: bool = False
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delayed_start_duration: Optional[float] = None
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# Pre-call fetch (start node only)
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pre_call_fetch_enabled: bool = False
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pre_call_fetch_url: Optional[str] = None
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pre_call_fetch_credential_uuid: Optional[str] = None
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tool_uuids: Optional[List[str]] = None
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document_uuids: Optional[List[str]] = None
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trigger_path: Optional[str] = None
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# Webhook node specific fields
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enabled: bool = True
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http_method: Optional[str] = None
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endpoint_url: Optional[str] = None
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credential_uuid: Optional[str] = None
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custom_headers: Optional[list[CustomHeaderDTO]] = None
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payload_template: Optional[dict] = None
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retry_config: Optional[RetryConfigDTO] = None
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# QA node specific fields
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qa_enabled: bool = True
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qa_system_prompt: Optional[str] = None
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qa_model: Optional[str] = None
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qa_min_call_duration: int = 15
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qa_voicemail_calls: bool = False
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qa_sample_rate: int = 100
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class RFNodeDTO(BaseModel):
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id: str
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type: NodeType = Field(default=NodeType.agentNode)
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position: Position
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data: NodeDataDTO
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@model_validator(mode="after")
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def _validate_prompt_required(self):
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"""Require prompt for all node types except trigger, webhook, and qa."""
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if self.type not in (NodeType.trigger, NodeType.webhook, NodeType.qa):
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if not self.data.prompt or len(self.data.prompt.strip()) == 0:
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raise ValueError("Prompt is required for non-trigger nodes")
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return self
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class EdgeDataDTO(BaseModel):
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label: str = Field(..., min_length=1)
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condition: str = Field(..., min_length=1)
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transition_speech: Optional[str] = None
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class RFEdgeDTO(BaseModel):
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id: str
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source: str
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target: str
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data: EdgeDataDTO
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class ReactFlowDTO(BaseModel):
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nodes: List[RFNodeDTO]
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edges: List[RFEdgeDTO]
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@model_validator(mode="after")
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def _referential_integrity(self):
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node_ids = {n.id for n in self.nodes}
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line_errors: list[dict[str, str]] = []
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for idx, edge in enumerate(self.edges):
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for endpoint in (edge.source, edge.target):
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if endpoint not in node_ids:
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line_errors.append(
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dict(
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loc=("edges", idx),
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type="missing_node",
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msg="Edge references missing node",
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input=edge.model_dump(mode="python"),
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ctx={"edge_id": edge.id, "endpoint": endpoint},
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)
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)
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if line_errors:
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raise ValidationError.from_exception_data(
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title="ReactFlowDTO validation failed",
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line_errors=line_errors,
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)
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return self
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