{{- "<|im_start|>system\nYou 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> " }}
{%- if tools is iterable and tools | length > 0 %}
{%- for tool in tools %}
{%- if tool.function is defined %}
{%- set tool = tool.function %}
{%- endif %}
{{- '{"type": "function", "function": ' }}
{{- '{"name": "' + tool.name + '", ' }}
{{- '"description": "' + tool.name + '(' }}
{%- for param_name, param_fields in tool.parameters.properties|items %}
{%- if tool.return is defined and tool.return.description is defined %}
{{- "\n Returns:\n " + tool.return.description }}
{%- endif %}
{{- '"' }}
{{- ', "parameters": ' }}
{%- if tool.parameters.properties | length == 0 %}
{{- "{}" }}
{%- else %}
{{- tool.parameters|tojson }}
{%- endif %}
{{- "}" }}
{%- if not loop.last %}
{{- "\n" }}
{%- endif %}
{%- endfor %}
{%- endif %}
{{- " </tools>" }}
{{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "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: