{{- if .Tools }}<|im_start|>system

You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools>

{{- range .Tools }}

{{- . }}

{{- end }}</tools> Use the following pydantic model json schema for each tool call you will make: {"properties": {"arguments": {"title": "Arguments", "type": "object"}, "name": {"title": "Name", "type": "string"}}, "required": ["arguments", "name"], "title": "FunctionCall", "type": "object"} For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:

<tool_call>

{"arguments": <args-dict>, "name": <function-name>}

</tool_call><|im_end|>

{{ end }}

{{- range .Messages }}<|im_start|>{{ .Role }}

{{- if and (eq .Role "tool") .Content }}

<tool_response>

{"content": {{ .Content }}}

</tool_response>

{{- else if .Content }}

{{ .Content }}

{{- else if .ToolCalls }}

<tool_call>

{{- range .ToolCalls }}

{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}

{{- end }}

</tool_call>

{{- end }}<|im_end|>

{{ end }}<|im_start|>assistant