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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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93 changed files with 3388 additions and 3414 deletions
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23
api/services/workflow/pipecat_engine.py
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@ -540,7 +540,7 @@ class PipecatEngine:
node = self.workflow.nodes[node_id]
logger.debug(
f"Executing node: name: {node.name} is_static: {node.is_static} allow_interrupt: {node.allow_interrupt} is_end: {node.is_end}"
f"Executing node: name: {node.name} allow_interrupt: {node.allow_interrupt} is_end: {node.is_end}"
)
# Track previous node for transition event
@ -595,11 +595,8 @@ class PipecatEngine:
)
await asyncio.sleep(delay_duration)
if node.is_static:
raise ValueError("Static nodes are not supported!")
else:
# Setup LLM Context with Prompts and Functions
await self._setup_llm_context(node)
# Setup LLM context with prompts and functions.
await self._setup_llm_context(node)
def get_start_greeting(self) -> Optional[tuple[str, Optional[str]]]:
"""Return the greeting info for the start node, or None if not configured.
@ -626,19 +623,13 @@ class PipecatEngine:
async def _handle_end_node(self, node: Node) -> None:
"""Handle end node execution."""
if node.is_static:
raise ValueError("Static nodes are not supported!")
else:
# Setup LLM Context with Prompts and Functions
await self._setup_llm_context(node)
# Setup LLM context with prompts and functions.
await self._setup_llm_context(node)
async def _handle_agent_node(self, node: Node) -> None:
"""Handle agent node execution."""
if node.is_static:
raise ValueError("Static nodes are not supported!")
else:
# Setup LLM Context with Prompts and Functions
await self._setup_llm_context(node)
# Setup LLM context with prompts and functions.
await self._setup_llm_context(node)
async def end_call_with_reason(
self,