impls -> inline, adapters -> remote (#381)

llama_stack/providers/impls/ios/inference/LocalInferenceImpl/SystemPrompts.swift

@@ -1,91 +0,0 @@
-import Foundation
-
-import LlamaStackClient
-
-func convertToNativeSwiftType(_ value: Any) -> Any {
-    switch value {
-    case let number as NSNumber:
-        if CFGetTypeID(number) == CFBooleanGetTypeID() {
-            return number.boolValue
-        }
-        if floor(number.doubleValue) == number.doubleValue {
-            return number.intValue
-        }
-        return number.doubleValue
-    case let string as String:
-        return string
-    case let array as [Any]:
-        return array.map(convertToNativeSwiftType)
-    case let dict as [String: Any]:
-        return dict.mapValues(convertToNativeSwiftType)
-    case is NSNull:
-        return NSNull()
-    default:
-        return value
-    }
-}
-
-public class SystemDefaultGenerator {
-  public init() {}
-
-  public func gen() -> PromptTemplate {
-    let templateStr = """
-            Cutting Knowledge Date: December 2023
-            Today Date: {{ today }}
-            """
-
-    let dateFormatter = DateFormatter()
-    dateFormatter.dateFormat = "dd MMMM yyyy"
-
-    return PromptTemplate(
-      template: templateStr,
-      data: ["today": dateFormatter.string(from: Date())]
-    )
-  }
-}
-
-
-public class FunctionTagCustomToolGenerator {
-  public init() {}
-
-  public func gen(customTools: [Components.Schemas.ToolDefinition]) throws -> PromptTemplate {
-    // TODO: required params
-    // TODO: {{#unless @last}},{{/unless}}
-
-    let templateStr = """
-            You are an expert in composing functions. You are given a question and a set of possible functions.
-            Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
-            If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
-            also point it out. You should only return the function call in tools call sections.
-
-            If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]
-            You SHOULD NOT include any other text in the response.
-
-            Here is a list of functions in JSON format that you can invoke.
-
-            [
-            {% for t in custom_tools %}
-            {
-                "name": "{{t.tool_name}}",
-                "description": "{{t.description}}",
-                "parameters": {
-                    "type": "dict",
-                    "properties": { {{t.parameters}} }
-            }
-
-            {{/let}}
-            {% endfor -%}
-            ]
-            """
-
-    let encoder = JSONEncoder()
-    return PromptTemplate(
-      template: templateStr,
-      data: ["custom_tools": try customTools.map {
-        let data = try encoder.encode($0)
-        let obj = try JSONSerialization.jsonObject(with: data)
-        return convertToNativeSwiftType(obj)
-      }]
-    )
-  }
-}