mirror of
https://github.com/arc53/DocsGPT.git
synced 2025-12-02 18:13:13 +00:00
@@ -57,25 +57,35 @@ class GoogleLLM(BaseLLM):
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for tool_data in tools_list:
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if tool_data["type"] == "function":
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function = tool_data["function"]
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genai_function = dict(
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name=function["name"],
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description=function["description"],
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parameters={
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"type": "OBJECT",
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"properties": {
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k: {
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**v,
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"type": v["type"].upper() if v["type"] else None,
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}
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for k, v in function["parameters"]["properties"].items()
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parameters = function["parameters"]
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properties = parameters.get("properties", {})
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if properties:
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genai_function = dict(
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name=function["name"],
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description=function["description"],
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parameters={
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"type": "OBJECT",
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"properties": {
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k: {
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**v,
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"type": v["type"].upper() if v["type"] else None,
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}
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for k, v in properties.items()
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},
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"required": (
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parameters["required"]
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if "required" in parameters
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else []
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),
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},
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"required": (
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function["parameters"]["required"]
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if "required" in function["parameters"]
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else []
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),
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},
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)
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)
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else:
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genai_function = dict(
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name=function["name"],
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description=function["description"],
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)
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genai_tool = types.Tool(function_declarations=[genai_function])
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genai_tools.append(genai_tool)
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@@ -26,6 +26,21 @@ class Agent:
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tools_by_id = {str(tool["_id"]): tool for tool in user_tools}
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return tools_by_id
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def _build_tool_parameters(self, action):
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params = {"type": "object", "properties": {}, "required": []}
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for param_type in ["query_params", "headers", "body", "parameters"]:
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if param_type in action and action[param_type].get("properties"):
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for k, v in action[param_type]["properties"].items():
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if v.get("filled_by_llm", True):
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params["properties"][k] = {
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key: value
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for key, value in v.items()
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if key != "filled_by_llm" and key != "value"
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}
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params["required"].append(k)
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return params
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def _prepare_tools(self, tools_dict):
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self.tools = [
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{
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@@ -33,31 +48,16 @@ class Agent:
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"function": {
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"name": f"{action['name']}_{tool_id}",
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"description": action["description"],
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"parameters": {
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**action["parameters"],
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"properties": {
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k: {
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key: value
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for key, value in v.items()
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if key != "filled_by_llm" and key != "value"
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}
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for k, v in action["parameters"]["properties"].items()
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if v.get("filled_by_llm", False)
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},
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"required": [
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key
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for key in action["parameters"]["required"]
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if key in action["parameters"]["properties"]
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and action["parameters"]["properties"][key].get(
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"filled_by_llm", False
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)
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],
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},
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"parameters": self._build_tool_parameters(action),
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},
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}
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for tool_id, tool in tools_dict.items()
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for action in tool["actions"]
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if action["active"]
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for action in (
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tool["config"]["actions"].values()
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if tool["name"] == "api_tool"
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else tool["actions"]
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)
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if action.get("active", True)
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]
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def _execute_tool_action(self, tools_dict, call):
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@@ -65,18 +65,59 @@ class Agent:
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tool_id, action_name, call_args = parser.parse_args(call)
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tool_data = tools_dict[tool_id]
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action_data = next(
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action for action in tool_data["actions"] if action["name"] == action_name
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action_data = (
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tool_data["config"]["actions"][action_name]
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if tool_data["name"] == "api_tool"
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else next(
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action
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for action in tool_data["actions"]
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if action["name"] == action_name
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)
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)
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for param, details in action_data["parameters"]["properties"].items():
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if param not in call_args and "value" in details:
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call_args[param] = details["value"]
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query_params, headers, body, parameters = {}, {}, {}, {}
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param_types = {
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"query_params": query_params,
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"headers": headers,
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"body": body,
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"parameters": parameters,
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}
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for param_type, target_dict in param_types.items():
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if param_type in action_data and action_data[param_type].get("properties"):
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for param, details in action_data[param_type]["properties"].items():
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if param not in call_args and "value" in details:
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target_dict[param] = details["value"]
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for param, value in call_args.items():
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for param_type, target_dict in param_types.items():
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if param_type in action_data and param in action_data[param_type].get(
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"properties", {}
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):
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target_dict[param] = value
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tm = ToolManager(config={})
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tool = tm.load_tool(tool_data["name"], tool_config=tool_data["config"])
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print(f"Executing tool: {action_name} with args: {call_args}")
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result = tool.execute_action(action_name, **call_args)
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tool = tm.load_tool(
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tool_data["name"],
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tool_config=(
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{
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"url": tool_data["config"]["actions"][action_name]["url"],
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"method": tool_data["config"]["actions"][action_name]["method"],
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"headers": headers,
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"query_params": query_params,
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}
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if tool_data["name"] == "api_tool"
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else tool_data["config"]
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),
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)
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if tool_data["name"] == "api_tool":
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print(
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f"Executing api: {action_name} with query_params: {query_params}, headers: {headers}, body: {body}"
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)
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result = tool.execute_action(action_name, **body)
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else:
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print(f"Executing tool: {action_name} with args: {call_args}")
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result = tool.execute_action(action_name, **parameters)
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call_id = getattr(call, "id", None)
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return result, call_id
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54
application/tools/implementations/api_tool.py
Normal file
54
application/tools/implementations/api_tool.py
Normal file
@@ -0,0 +1,54 @@
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import json
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import requests
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from application.tools.base import Tool
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class APITool(Tool):
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"""
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API Tool
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A flexible tool for performing various API actions (e.g., sending messages, retrieving data) via custom user-specified APIs
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"""
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def __init__(self, config):
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self.config = config
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self.url = config.get("url", "")
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self.method = config.get("method", "GET")
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self.headers = config.get("headers", {"Content-Type": "application/json"})
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self.query_params = config.get("query_params", {})
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def execute_action(self, action_name, **kwargs):
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return self._make_api_call(
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self.url, self.method, self.headers, self.query_params, kwargs
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)
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def _make_api_call(self, url, method, headers, query_params, body):
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if query_params:
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url = f"{url}?{requests.compat.urlencode(query_params)}"
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if isinstance(body, dict):
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body = json.dumps(body)
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try:
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print(f"Making API call: {method} {url} with body: {body}")
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response = requests.request(method, url, headers=headers, data=body)
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response.raise_for_status()
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try:
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data = response.json()
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except ValueError:
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data = None
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return {
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"status_code": response.status_code,
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"data": data,
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"message": "API call successful.",
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}
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except requests.exceptions.RequestException as e:
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return {
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"status_code": response.status_code if response else None,
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"message": f"API call failed: {str(e)}",
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}
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def get_actions_metadata(self):
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return []
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def get_config_requirements(self):
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return {}
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