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https://github.com/dograh-hq/dograh.git
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5f28c1b2a9
* Add tuner integration * bump pipecat version * chore: update pipecat submodule to match upstream and use tuner-pipecat-sdk 0.2.0 Update pipecat submodule from 0.0.109.dev23 to 13e98d0d9 (the exact commit upstream dograh-hq/dograh uses after v1.30.1). This installs pipecat-ai as 1.1.0.post277 via setuptools_scm, satisfying tuner-pipecat-sdk 0.2.0's pipecat-ai>=1.0.0 requirement. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * wire tuner * feat: refactor integrations into self contained packages * chore: simplify ensure_public_access_token * fix: remove NodeSpec and make DTOs the source of truth * feat: send relevant signal to mcp using to_mcp_dict * fix: fix tests * cleanup: remove nango integrations * feat: add agents.md for integrations --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
19 lines
595 B
Python
19 lines
595 B
Python
from __future__ import annotations
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from pydantic import BaseModel
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from api.services.workflow.node_specs._base import PropertyType
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from api.services.workflow.node_specs.model_spec import spec_field
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class BaseNodeData(BaseModel):
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name: str = spec_field(
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...,
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min_length=1,
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ui_type=PropertyType.string,
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display_name="Name",
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description="Short identifier shown in the canvas and call logs.",
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required=True,
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)
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is_start: bool = spec_field(default=False, spec_exclude=True)
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is_end: bool = spec_field(default=False, spec_exclude=True)
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