Add Inworld Realtime Service (#4140)
* Add Inworld Realtime LLM service Adds a WebSocket-based realtime service for Inworld's cascade STT/LLM/TTS API with semantic VAD, function calling, and streaming transcription support. New files: - src/pipecat/services/inworld/realtime/ (service, events) - src/pipecat/adapters/services/inworld_realtime_adapter.py - examples/foundational/19zb-inworld-realtime.py Also includes: - websockets dependency for inworld extra in pyproject.toml - Adapter and settings tests matching OpenAI/Grok realtime patterns - Fix for double-response when server-side VAD is enabled * Prefer init-provided system instruction in Inworld Realtime Adopt _resolve_system_instruction() from BaseLLMAdapter, matching the pattern applied to OpenAI Realtime, Grok Realtime, Gemini Live, and Nova Sonic in the pk/realtime-services-init-v-context-system-instructions-cleanup branch. * Update changelog entry with PR number * Fix changelog format to use bullet point * Polish PR: default model, example cleanup, changelog update - Change default model from gpt-4.1-nano to gpt-4.1-mini - Add function calling demo to example - Remove demo-testing artifact from system instruction - Mention Router support in changelog * Address PR review feedback for Inworld Realtime - Move example to examples/realtime/realtime-inworld.py - Change initial context role from "user" to "developer" - Remove explicit sample rates from example; sync them in _ensure_audio_config so Inworld gets the transport's actual rates - Add audio race condition guard in _handle_evt_audio_delta (matches OpenAI realtime pattern) - Convert remaining "system"/"developer" messages to "user" in adapter - Add clarifying comment for local-VAD vs server-VAD metrics paths * Simplify example, add provider tracking, remove local VAD path - Remove function calling from example, switch model to xai/grok-4-1-fast-non-reasoning - Add pipecat-realtime session key prefix and provider_data metadata for Inworld traffic attribution - Remove local VAD code path (Inworld only supports server-side VAD) - Use typed InputAudioBufferAppendEvent for audio sends * Default TTS model to inworld-tts-1.5-max * Remove dead shimmed tools code, set STT/VAD defaults - Remove non-functional AdapterType.SHIM custom tools code from adapter - Default STT model to assemblyai/u3-rt-pro - Default VAD eagerness to low
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@@ -77,7 +77,7 @@ groq = [ "groq>=0.23.0,<2" ]
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gstreamer = [ "pygobject~=3.50.0" ]
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heygen = [ "livekit>=1.0.13,<2", "pipecat-ai[websockets-base]" ]
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hume = [ "hume>=0.11.2,<1" ]
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inworld = []
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inworld = [ "pipecat-ai[websockets-base]" ]
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koala = [ "pvkoala~=2.0.3" ]
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kokoro = [ "kokoro-onnx>=0.5.0,<1", "requests>=2.32.5,<3" ]
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langchain = [ "langchain>=1.2.13,<2", "langchain-community>=0.4.1,<1", "langchain-openai>=1.1.12,<2" ]
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