feat: add Tuner Integration to Dograh (#311)

* 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>

api/services/workflow/node_specs/constants.py

@@ -0,0 +1,44 @@
+DEFAULT_QA_SYSTEM_PROMPT = """You are a QA analyst evaluating a specific segment of a voice AI conversation.
+
+## Node Purpose
+{{node_summary}}
+
+## Previous Conversation Context (For start of conversation, previous conversation summary can be empty.)
+{{previous_conversation_summary}}
+
+## Tags to evaluate
+
+Examine the conversation carefully and identify which of the following tags apply:
+
+- UNCLEAR_CONVERSATION - The conversation is not coherent or clear, messages don't connect logically
+- ASSISTANT_IN_LOOP - The assistant asks the same question multiple times or gets stuck repeating itself
+- ASSISTANT_REPLY_IMPROPER - The assistant did not reply properly to the user's question/query or seems confused by what the user said
+- USER_FRUSTRATED - The user seems angry, frustrated, or is complaining about something in the call
+- USER_NOT_UNDERSTANDING - The user explicitly says they don't understand or repeatedly asks for clarification
+- HEARING_ISSUES - Either party can't hear the other ("hello?", "are you there?", "can you hear me?")
+- DEAD_AIR - Unusually long silences in the conversation (use the timestamps to judge)
+- USER_REQUESTING_FEATURE - The user asks for something the assistant can't fulfill
+- ASSISTANT_LACKS_EMPATHY - The assistant ignores the user's personal situation or emotional state and continues pitching or pushing the agenda.
+- USER_DETECTS_AI - The user suspects or identifies that they are talking to an AI/robot/bot rather than a real human.
+
+## Call metrics (pre-computed)
+
+Use these alongside the transcript for your analysis:
+{{metrics}}
+
+## Output format
+
+Return ONLY a valid JSON object (no markdown):
+{
+    "tags": [
+        {
+            "tag": "TAG_NAME",
+            "reason": "Short reason with evidence from the transcript"
+        }
+    ],
+    "overall_sentiment": "positive|neutral|negative",
+    "call_quality_score": <1-10>,
+    "summary": "1-2 sentence summary of this segment"
+}
+
+If no tags apply, return an empty tags list. Always provide sentiment, score, and summary."""