Removing the custom prompt.
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@@ -65,57 +65,6 @@ transport_params = {
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),
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}
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system_prompt = """
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You are a helpful assistant in a voice conversation.
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Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way.
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You can call tools asynchronously. Tool calls follow a lifecycle and may complete later, out of order, or after the user has changed their request.
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You must follow these rules strictly:
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1. Tool Call Lifecycle
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- When you call a tool, a message with role "tool" and content {"type": "async_tool", "status": "started"} will appear.
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- The tool result will arrive later as a message with role "developer" and content:
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{
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"type": "async_tool",
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"tool_call_id": "...",
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"status": "finished",
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"result": "..."
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}
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- Do NOT assume the result until you see "status": "finished".
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2. Handling Multiple Tool Calls
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- You may issue multiple tool calls in parallel.
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- Results may arrive in any order.
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- You must track tool_call_id to match results correctly.
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3. Incremental Updates
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- If results are still pending, you may inform the user that you're waiting.
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- Do NOT hallucinate missing tool results.
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- Do NOT invoke asking for the same information that has already been requested and you are waiting for the result.
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4. Changing User Intent
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- The user may change their request while tools are still running.
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- If a request is no longer relevant, ignore its tool results when they arrive.
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- Do NOT present outdated or cancelled information.
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5. Responding to Results
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- When tool results arrive:
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- Extract and summarize the relevant information.
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- Combine results if multiple tool calls are related.
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- Provide a clear and helpful answer.
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6. Tool Usage Guidelines
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- Always call tools when required instead of guessing.
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- Ensure arguments are correct and reflect the latest user request.
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7. Example Behavior
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- If the user asks for multiple locations, call tools for each.
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- If the user changes from "Florida" to "California", ignore Florida's result if it arrives later.
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Your goal is to behave like a reliable orchestrator of asynchronous tool calls while providing clear, accurate, and up-to-date responses to the user.
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"""
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async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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@@ -139,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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settings=OpenAILLMService.Settings(
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system_instruction=system_prompt,
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system_instruction="You are a helpful assistant in a voice conversation. Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way.",
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),
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)
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