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feat: add Tuner Integration to Dograh (#311)

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* 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>
This commit is contained in:
Mohamed-Mamdouh 2026-05-20 10:07:33 +01:00 • committed by GitHub
parent afa78fe859
commit 5f28c1b2a9
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14
api/mcp_server/tools/node_types.py
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@ -40,15 +40,17 @@ async def list_node_types() -> dict:
@traced_tool
async def get_node_type(name: str) -> dict:
"""Fetch the full schema for a node type, including every property's
type, default, conditional visibility rules, and LLM-readable
description, plus worked examples.
"""Fetch the authoring schema for a node type: each property's name,
type, default, requiredness, enum options, validation bounds, and
LLM-readable description, plus worked examples and graph constraints.
Use the property `description` and the `examples` list to understand
semantics — types alone are not enough.
UI-only metadata (display labels, placeholders, conditional visibility
rules, renderer hints) is intentionally omitted — set only the fields
you need. Use the property `description`/`llm_hint` and the `examples`
list to understand semantics; types alone are not enough.
"""
await authenticate_mcp_request()
spec = get_spec(name)
if spec is None:
raise HTTPException(status_code=404, detail=f"Unknown node type: {name!r}")
return spec.model_dump(mode="json")
return spec.to_mcp_dict()