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