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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Abhishek 2026-04-21 07:56:16 +05:30 committed by GitHub
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"""Spec for the Global node — system-level instructions appended to every
agent node that opts in via `add_global_prompt`."""
from api.services.workflow.node_specs._base import (
GraphConstraints,
NodeCategory,
NodeExample,
NodeSpec,
PropertySpec,
PropertyType,
)
SPEC = NodeSpec(
name="globalNode",
display_name="Global Node",
description="Persona/tone appended to every agent node's prompt.",
llm_hint=(
"System-level prompt appended to every prompted node whose "
"`add_global_prompt` is true. Use it for persona, tone, and shared "
"rules that apply across the entire conversation. At most one "
"global node per workflow."
),
category=NodeCategory.global_node,
icon="Globe",
properties=[
PropertySpec(
name="name",
type=PropertyType.string,
display_name="Name",
description=(
"Short identifier shown in the canvas and call logs. Has no "
"runtime effect."
),
required=True,
min_length=1,
default="Global Node",
),
PropertySpec(
name="prompt",
type=PropertyType.mention_textarea,
display_name="Global Prompt",
description=(
"Text appended to every prompted node's system prompt when "
"that node has `add_global_prompt=true`. Supports "
"{{template_variables}}."
),
required=True,
min_length=1,
placeholder="You are a friendly assistant calling on behalf of {{company_name}}.",
default=(
"You are a helpful assistant whose mode of interaction with "
"the user is voice. So don't use any special characters which "
"can not be pronounced. Use short sentences and simple language."
),
),
],
examples=[
NodeExample(
name="basic_persona",
description="Establishes a consistent persona across the call.",
data={
"name": "Persona",
"prompt": (
"You are Sarah, a polite and warm representative from "
"Acme Corp. Always thank the caller for their time and "
"speak in short conversational sentences."
),
},
),
],
graph_constraints=GraphConstraints(
min_incoming=0,
max_incoming=0,
min_outgoing=0,
max_outgoing=0,
),
)