Comments (2)
Will you please consider adding https://dify.ai/ supports? it will solve the context issue and overall LLOMps solution.
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Langchain's message history comes in handy here, see the langchain example. You can store the history per speaker, summarize long conversations, persist in a database etc.
from pipecat.
Related Issues (20)
- If the user turns off the camera, the UserImageRequestFrame becomes useless HOT 2
- UserIdleProcessor ignores timeout HOT 1
- OpenAILLMContext has no attribute 'append' when used with LangchainProcessor HOT 1
- Interruptions not working with Twilio HOT 6
- adding Dify.ai support for LLM service HOT 1
- cannot import name 'CallClient HOT 4
- Unable to change TTS language. Using Rtvi web-demo with pipecat backend.
- Adding Azure speech-to-speech service
- dify connection HOT 5
- question: Is there a way to interrupt speech only if the user has spoken more than N number of words HOT 1
- No low-end on AI voice with Daily.co transport
- question: Is it possible to add Frames to the middle of the queue? HOT 2
- Is it possible that if the user is deviating from the purpose of the call the bot can end the call or leave the call? HOT 2
- Storytelling Chatbot example fails with JavaScript error HOT 1
- ImportError: cannot import name 'CallClient' from 'daily' HOT 1
- Azure TTS streaming support
- Send STT transcript to websocket HOT 2
- AI Assist to build with PipeCat HOT 3
- cannot run simple-chatbot HOT 7
- what is the asr tool ? HOT 1
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from pipecat.