Inference gateway integration #22
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rektdeckard
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Sep 19, 2025
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Nice! Have not run the agent, but looks good
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| # To add tools, use the @function_tool decorator. | ||
| # Here's an example that adds a simple weather tool. | ||
| # You also have to add `from livekit.agents.llm import function_tool, RunContext` to the top of this file | ||
| # @function_tool | ||
| # async def lookup_weather(self, context: RunContext, location: str): | ||
| # """Use this tool to look up current weather information in the given location. | ||
| # | ||
| # If the location is not supported by the weather service, the tool will indicate this. You must tell the user the location's weather is unavailable. | ||
| # | ||
| # Args: | ||
| # location: The location to look up weather information for (e.g. city name) | ||
| # """ | ||
| # | ||
| # logger.info(f"Looking up weather for {location}") | ||
| # | ||
| # return "sunny with a temperature of 70 degrees." |
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Might be extra clear here to link to tool call docs page and to state that the return value is passed to LLM node?
| ```bash | ||
| lk app env -w .env.local | ||
| lk cloud auth | ||
| lk app env -w -d .env.local |
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Just my preference, but I like to add the long form so it's more obvious what each does:
lk app env --write --destination .env.local
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