Vocode

🚀 Features:
- `digits` parameter in `OutboundCall` to send DTMF tones to a phone call before the call is picked up
- Azure OpenAI support for `ChatGPTAgent`
- Tracing docs: https://docs.vocode.dev/tracing
- Refactors Agents as workers ([PR](https://github.com/vocodedev/vocode-python/pull/140)) - now, user implemented agents have full access to the output queue, which means they can send responses into the conversation without being specifically prompted. e.g. "Are you still there?"

🌅 On the horizon:
- Benchmarking app to time various transcribers, agents, and synthesizers
- Support for taking actions in a conversation: see [wip PR](https://github.com/vocodedev/vocode-python/pull/120)

Optimizations:
- Refactors `StreamingConversation` as a pipeline of consumer-producer workers - now transcription / agent response / synthesis are decoupled into their own async processes. Shoutout to jnak for helping us out with the refactor. Upshots:
- The LLM call no longer blocks the processing of new transcripts
- Playing the output audio runs concurrently with both generating the responses and synthesizing audio, so while each sentence is being played, the next response is being generated and synthesized - for synthesizer with latencies > 1s, there is no longer a delay between each sentence of a response.
- Resource management: synthesizers no longer need a dedicated thread, so e.g. a single telephony server can now support double the number of concurrent phone calls

Contribution / Code cleanliness:
- Simple tests that assert `StreamingConversation` works across all supported Python versions: run this locally with `make test`
- Typechecking with `mypy`: run this locally with `make typecheck`

Features:
- ElevenLabs `optimize_streaming_latency` parameter
- Adds the Twilio `to` and `from` numbers to the `CallConfig` in the `ConfigManager` (h/t Nikhil-Kulkarni)
- AssemblyAI buffering (solves https://github.com/vocodedev/vocode-react-sdk/issues/6) (h/t m-ods)
- Option to record Twilio calls (h/t shahafabileah)
- Adds `mute_during_speech` parameter to Transcribers as a solution to speaker feedback into microphone: see note in https://github.com/vocodedev/vocode-python/issues/16