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feat: refactor node spec and add mcp tools (#244)
* 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
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141
api/services/workflow/node_specs/end_call.py
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141
api/services/workflow/node_specs/end_call.py
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"""Spec for the End Call node — terminal node that wraps up a conversation
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and optionally extracts variables before hangup."""
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from api.services.workflow.node_specs._base import (
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DisplayOptions,
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GraphConstraints,
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NodeCategory,
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NodeExample,
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NodeSpec,
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PropertyOption,
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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="endCall",
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display_name="End Call",
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description="Closes the conversation and hangs up.",
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llm_hint=(
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"Terminal node that politely closes the conversation. Variable "
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"extraction can run before hangup. A workflow can have multiple "
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"endCall nodes reached via different edge conditions."
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),
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category=NodeCategory.call_node,
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icon="OctagonX",
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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 call logs. Should describe the "
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"ending context (e.g., 'Successful close', 'Polite decline')."
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),
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required=True,
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min_length=1,
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default="End Call",
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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="Prompt",
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description=(
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"Agent system prompt for the closing exchange. Supports "
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"{{template_variables}} from extraction or pre-call fetch."
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),
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required=True,
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min_length=1,
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placeholder="Thank the caller and confirm next steps before ending the call.",
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),
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PropertySpec(
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name="add_global_prompt",
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type=PropertyType.boolean,
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display_name="Add Global Prompt",
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description=(
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"When true and a Global node exists, prepends the global "
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"prompt to this node's prompt at runtime."
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),
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default=False,
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),
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PropertySpec(
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name="extraction_enabled",
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type=PropertyType.boolean,
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display_name="Enable Variable Extraction",
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description=(
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"When true, runs an LLM extraction pass before hangup to "
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"capture variables from the conversation."
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),
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default=False,
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),
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PropertySpec(
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name="extraction_prompt",
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type=PropertyType.string,
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display_name="Extraction Prompt",
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description=(
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"Overall instructions guiding how variables should be "
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"extracted from the conversation."
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),
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display_options=DisplayOptions(show={"extraction_enabled": [True]}),
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editor="textarea",
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),
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PropertySpec(
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name="extraction_variables",
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type=PropertyType.fixed_collection,
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display_name="Variables to Extract",
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description=(
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"Each entry declares one variable to capture from the "
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"conversation, with its name, data type, and a per-variable "
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"extraction hint."
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),
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display_options=DisplayOptions(show={"extraction_enabled": [True]}),
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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="Variable Name",
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description="snake_case identifier used downstream.",
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required=True,
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),
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PropertySpec(
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name="type",
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type=PropertyType.options,
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display_name="Type",
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description="The data type of the extracted value.",
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required=True,
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default="string",
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options=[
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PropertyOption(value="string", label="String"),
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PropertyOption(value="number", label="Number"),
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PropertyOption(value="boolean", label="Boolean"),
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],
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),
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PropertySpec(
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name="prompt",
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type=PropertyType.string,
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display_name="Extraction Hint",
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description=(
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"Per-variable hint describing what to look for in "
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"the conversation."
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),
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editor="textarea",
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),
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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="successful_close",
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data={
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"name": "Successful Close",
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"prompt": "Confirm the appointment time, thank the caller, and end the call.",
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"add_global_prompt": False,
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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=1,
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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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