The default model for OpenAILLMService and AzureLLMService was still set
to gpt-4o. Restored it to gpt-4.1. Also, removed hardcoded gpt-4o/gpt-4o-mini
model references from examples so they pick up the new default.
Add `system_instruction` field to `LLMSettings` so it is runtime-updatable via settings.
For Google (GoogleLLMService, GoogleVertexLLMService), deprecate the init-time arg since it was already shipped. For Anthropic, AWS Bedrock, and OpenAI, remove the init-time arg entirely since it was never shipped.
Still need to handle realtime services (OpenAI Realtime, Grok Realtime, Gemini Live).
With all these examples updated, we no longer need dedicated examples illustrating `LLMContext`, so they're removed.
Here’s where we *don’t* yet use `LLMContext` and associated machinery:
- Realtime services: OpenAI Realtime, Gemini Live, and AWS Nova Sonic (support coming soon)
- `GoogleLLMOpenAIBetaService` (it’s deprecated, so we didn’t bother adding support)
- `LLMLogObserver` (support coming soon)
- `GatedOpenAILLMContextAggregator` (support coming soon)
- `LangchainProcessor` (support coming soon)
- `Mem0MemoryService` (support coming soon)
- Examples that use LLM-specific tools definitions as opposed to `ToolsSchema` (these will be updated soon)
- Examples that rely `GoogleLLMContext.upgrade_to_google` (TBD what to do with these)
Examples that use `LLMLogObserver`:
- 30-
Examples that use `GatedOpenAILLMContextAggregator`:
- 22-
Examples that use `LangchainProcessor`:
- 07b-
Examples that use `Mem0MemoryService`:
- 37-
Examples that need updating to use `ToolsSchema`:
- 15-
- 15a-
- 20a-
- 20c-
- 20d-
- 22b-
- 22c-
- 33-
- 36-
Examples that use `GoogleLLMContext.upgrade_to_google`:
- 22d-
- 25-
Introduces a new example script demonstrating how to use OpenAI's function calling capabilities within a Pipecat pipeline. The example integrates OpenAI STT, TTS, and LLM services, registers a weather function, and sets up a pipeline for real-time audio interaction over WebRTC.
