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00a1a22b74
* refactor: carve out extraction panel * refactor: create spec versions for node types * refactor: create a GenericNode and remove custom nodes * feat: add python and typescript sdk * add dograh sdk * fix: fetch draft workflow definition over published one * fix: fix routes of SDKs to use code gen * chore: remove doclink dependency to reduce image size * chore: format files * chore: bump pipecat * feat: let mcp fetch archived workflows on demand * chore: fix tests * feat: add sdk documentation * chore: change banner and add badge
77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
"""Spec for the Global node — system-level instructions appended to every
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agent node that opts in via `add_global_prompt`."""
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from api.services.workflow.node_specs._base import (
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GraphConstraints,
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NodeCategory,
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NodeExample,
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NodeSpec,
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PropertySpec,
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PropertyType,
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)
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SPEC = NodeSpec(
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name="globalNode",
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display_name="Global Node",
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description="Persona/tone appended to every agent node's prompt.",
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llm_hint=(
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"System-level prompt appended to every prompted node whose "
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"`add_global_prompt` is true. Use it for persona, tone, and shared "
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"rules that apply across the entire conversation. At most one "
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"global node per workflow."
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),
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category=NodeCategory.global_node,
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icon="Globe",
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properties=[
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PropertySpec(
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name="name",
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type=PropertyType.string,
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display_name="Name",
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description=(
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"Short identifier shown in the canvas and call logs. Has no "
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"runtime effect."
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),
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required=True,
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min_length=1,
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default="Global Node",
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),
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PropertySpec(
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name="prompt",
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type=PropertyType.mention_textarea,
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display_name="Global Prompt",
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description=(
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"Text appended to every prompted node's system prompt when "
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"that node has `add_global_prompt=true`. Supports "
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"{{template_variables}}."
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),
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required=True,
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min_length=1,
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placeholder="You are a friendly assistant calling on behalf of {{company_name}}.",
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default=(
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"You are a helpful assistant whose mode of interaction with "
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"the user is voice. So don't use any special characters which "
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"can not be pronounced. Use short sentences and simple language."
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),
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),
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],
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examples=[
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NodeExample(
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name="basic_persona",
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description="Establishes a consistent persona across the call.",
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data={
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"name": "Persona",
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"prompt": (
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"You are Sarah, a polite and warm representative from "
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"Acme Corp. Always thank the caller for their time and "
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"speak in short conversational sentences."
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),
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},
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),
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],
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graph_constraints=GraphConstraints(
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min_incoming=0,
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max_incoming=0,
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min_outgoing=0,
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max_outgoing=0,
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),
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)
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