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feat: add gemini live and speaches integration (#220)

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* feat: add speaches models

* feat: add gemini realtime and speaches integration

- Add gemini realtime support
- Add speaches support for locally hosted LLMs

* chore: bump pipecat

* feat: add language option

* fix: add skip aggregator types to tts settings

* fix: make API key optional for realtime
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Abhishek 2026-03-31 21:42:03 +05:30 • committed by GitHub
parent e0c3d6c3bf
commit 87e72d5f6f
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19 changed files with 743 additions and 270 deletions
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api/services/workflow/pipecat_engine.py
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@ -210,12 +210,17 @@ class PipecatEngine:
async def _update_llm_context(self, system_prompt: str, functions: list[dict]):
"""Update LLM settings with the composed system prompt and tool list."""
await self.llm._update_settings(LLMSettings(system_instruction=system_prompt))
if functions:
tools_schema = ToolsSchema(standard_tools=functions)
self.context.set_tools(tools_schema)
await self.llm._update_settings(LLMSettings(system_instruction=system_prompt))
# For Gemini Live, set context on the LLM before _update_settings so that
# _connect (triggered by reconnect) can read tools from it.
if hasattr(self.llm, "_context") and not self.llm._context and self.context:
self.llm._context = self.context
def _format_prompt(self, prompt: str) -> str:
"""Delegate prompt formatting to the shared workflow.utils implementation."""