diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json b/src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json
new file mode 100644
index 000000000..a8b46e4b2
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json
@@ -0,0 +1,1997 @@
+{
+ "data": {
+ "edges": [
+ {
+ "data": {
+ "sourceHandle": {
+ "dataType": "APIRequest",
+ "id": "APIRequest-BGQE7",
+ "name": "component_as_tool",
+ "output_types": [
+ "Tool"
+ ]
+ },
+ "targetHandle": {
+ "fieldName": "tools",
+ "id": "Agent-SJJs5",
+ "inputTypes": [
+ "Tool"
+ ],
+ "type": "other"
+ }
+ },
+ "id": "xy-edge__APIRequest-BGQE7{œdataTypeœ:œAPIRequestœ,œidœ:œAPIRequest-BGQE7œ,œnameœ:œcomponent_as_toolœ,œoutput_typesœ:[œToolœ]}-Agent-SJJs5{œfieldNameœ:œtoolsœ,œidœ:œAgent-SJJs5œ,œinputTypesœ:[œToolœ],œtypeœ:œotherœ}",
+ "source": "APIRequest-BGQE7",
+ "sourceHandle": "{œdataTypeœ: œAPIRequestœ, œidœ: œAPIRequest-BGQE7œ, œnameœ: œcomponent_as_toolœ, œoutput_typesœ: [œToolœ]}",
+ "target": "Agent-SJJs5",
+ "targetHandle": "{œfieldNameœ: œtoolsœ, œidœ: œAgent-SJJs5œ, œinputTypesœ: [œToolœ], œtypeœ: œotherœ}"
+ },
+ {
+ "data": {
+ "sourceHandle": {
+ "dataType": "ChatInput",
+ "id": "ChatInput-RoWKY",
+ "name": "message",
+ "output_types": [
+ "Message"
+ ]
+ },
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "Agent-SJJs5",
+ "inputTypes": [
+ "Message"
+ ],
+ "type": "str"
+ }
+ },
+ "id": "xy-edge__ChatInput-RoWKY{œdataTypeœ:œChatInputœ,œidœ:œChatInput-RoWKYœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Agent-SJJs5{œfieldNameœ:œinput_valueœ,œidœ:œAgent-SJJs5œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+ "source": "ChatInput-RoWKY",
+ "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-RoWKYœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
+ "target": "Agent-SJJs5",
+ "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œAgent-SJJs5œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+ },
+ {
+ "data": {
+ "sourceHandle": {
+ "dataType": "Agent",
+ "id": "Agent-SJJs5",
+ "name": "response",
+ "output_types": [
+ "Message"
+ ]
+ },
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-CyhlX",
+ "inputTypes": [
+ "Data",
+ "DataFrame",
+ "Message"
+ ],
+ "type": "str"
+ }
+ },
+ "id": "xy-edge__Agent-SJJs5{œdataTypeœ:œAgentœ,œidœ:œAgent-SJJs5œ,œnameœ:œresponseœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-CyhlX{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-CyhlXœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œstrœ}",
+ "source": "Agent-SJJs5",
+ "sourceHandle": "{œdataTypeœ: œAgentœ, œidœ: œAgent-SJJs5œ, œnameœ: œresponseœ, œoutput_typesœ: [œMessageœ]}",
+ "target": "ChatOutput-CyhlX",
+ "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-CyhlXœ, œinputTypesœ: [œDataœ, œDataFrameœ, œMessageœ], œtypeœ: œstrœ}"
+ }
+ ],
+ "nodes": [
+ {
+ "data": {
+ "description": "Make HTTP requests using URLs or cURL commands.",
+ "display_name": "API Request",
+ "id": "APIRequest-BGQE7",
+ "node": {
+ "base_classes": [
+ "Data"
+ ],
+ "beta": false,
+ "conditional_paths": [],
+ "custom_fields": {},
+ "description": "Make HTTP requests using URLs or cURL commands.",
+ "display_name": "API Request",
+ "documentation": "",
+ "edited": false,
+ "field_order": [
+ "urls",
+ "curl",
+ "method",
+ "use_curl",
+ "query_params",
+ "body",
+ "headers",
+ "timeout",
+ "follow_redirects",
+ "save_to_file",
+ "include_httpx_metadata"
+ ],
+ "frozen": false,
+ "icon": "Globe",
+ "legacy": false,
+ "lf_version": "1.2.0",
+ "metadata": {},
+ "minimized": false,
+ "output_types": [],
+ "outputs": [
+ {
+ "allows_loop": false,
+ "cache": true,
+ "display_name": "Toolset",
+ "hidden": null,
+ "method": "to_toolkit",
+ "name": "component_as_tool",
+ "required_inputs": null,
+ "selected": "Tool",
+ "tool_mode": true,
+ "types": [
+ "Tool"
+ ],
+ "value": "__UNDEFINED__"
+ }
+ ],
+ "pinned": false,
+ "template": {
+ "_type": "Component",
+ "body": {
+ "_input_type": "TableInput",
+ "advanced": true,
+ "display_name": "Body",
+ "dynamic": false,
+ "info": "The body to send with the request as a dictionary (for POST, PATCH, PUT).",
+ "input_types": [
+ "Data"
+ ],
+ "is_list": true,
+ "list_add_label": "Add More",
+ "name": "body",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "table_icon": "Table",
+ "table_schema": {
+ "columns": [
+ {
+ "default": "None",
+ "description": "Parameter name",
+ "disable_edit": false,
+ "display_name": "Key",
+ "edit_mode": "popover",
+ "filterable": true,
+ "formatter": "text",
+ "hidden": false,
+ "name": "key",
+ "sortable": true,
+ "type": "str"
+ },
+ {
+ "default": "None",
+ "description": "Parameter value",
+ "disable_edit": false,
+ "display_name": "Value",
+ "edit_mode": "popover",
+ "filterable": true,
+ "formatter": "text",
+ "hidden": false,
+ "name": "value",
+ "sortable": true
+ }
+ ]
+ },
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "trigger_icon": "Table",
+ "trigger_text": "Open table",
+ "type": "table",
+ "value": []
+ },
+ "code": {
+ "advanced": true,
+ "dynamic": true,
+ "fileTypes": [],
+ "file_path": "",
+ "info": "",
+ "list": false,
+ "load_from_db": false,
+ "multiline": true,
+ "name": "code",
+ "password": false,
+ "placeholder": "",
+ "required": true,
+ "show": true,
+ "title_case": false,
+ "type": "code",
+ "value": "import asyncio\nimport json\nimport re\nimport tempfile\nfrom datetime import datetime, timezone\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib.parse import parse_qsl, urlencode, urlparse, urlunparse\n\nimport aiofiles\nimport aiofiles.os as aiofiles_os\nimport httpx\nimport validators\n\nfrom langflow.base.curl.parse import parse_context\nfrom langflow.custom import Component\nfrom langflow.io import (\n BoolInput,\n DataInput,\n DropdownInput,\n FloatInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n StrInput,\n TableInput,\n)\nfrom langflow.schema import Data\nfrom langflow.schema.dotdict import dotdict\n\n\nclass APIRequestComponent(Component):\n display_name = \"API Request\"\n description = \"Make HTTP requests using URLs or cURL commands.\"\n icon = \"Globe\"\n name = \"APIRequest\"\n\n default_keys = [\"urls\", \"method\", \"query_params\"]\n\n inputs = [\n MessageTextInput(\n name=\"urls\",\n display_name=\"URLs\",\n list=True,\n info=\"Enter one or more URLs, separated by commas.\",\n advanced=False,\n tool_mode=True,\n ),\n MultilineInput(\n name=\"curl\",\n display_name=\"cURL\",\n info=(\n \"Paste a curl command to populate the fields. \"\n \"This will fill in the dictionary fields for headers and body.\"\n ),\n advanced=True,\n real_time_refresh=True,\n tool_mode=True,\n ),\n DropdownInput(\n name=\"method\",\n display_name=\"Method\",\n options=[\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"],\n info=\"The HTTP method to use.\",\n real_time_refresh=True,\n ),\n BoolInput(\n name=\"use_curl\",\n display_name=\"Use cURL\",\n value=False,\n info=\"Enable cURL mode to populate fields from a cURL command.\",\n real_time_refresh=True,\n ),\n DataInput(\n name=\"query_params\",\n display_name=\"Query Parameters\",\n info=\"The query parameters to append to the URL.\",\n advanced=True,\n ),\n TableInput(\n name=\"body\",\n display_name=\"Body\",\n info=\"The body to send with the request as a dictionary (for POST, PATCH, PUT).\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Key\",\n \"type\": \"str\",\n \"description\": \"Parameter name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"description\": \"Parameter value\",\n },\n ],\n value=[],\n input_types=[\"Data\"],\n advanced=True,\n ),\n TableInput(\n name=\"headers\",\n display_name=\"Headers\",\n info=\"The headers to send with the request as a dictionary.\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Header\",\n \"type\": \"str\",\n \"description\": \"Header name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"type\": \"str\",\n \"description\": \"Header value\",\n },\n ],\n value=[],\n advanced=True,\n input_types=[\"Data\"],\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n value=5,\n info=\"The timeout to use for the request.\",\n advanced=True,\n ),\n BoolInput(\n name=\"follow_redirects\",\n display_name=\"Follow Redirects\",\n value=True,\n info=\"Whether to follow http redirects.\",\n advanced=True,\n ),\n BoolInput(\n name=\"save_to_file\",\n display_name=\"Save to File\",\n value=False,\n info=\"Save the API response to a temporary file\",\n advanced=True,\n ),\n BoolInput(\n name=\"include_httpx_metadata\",\n display_name=\"Include HTTPx Metadata\",\n value=False,\n info=(\n \"Include properties such as headers, status_code, response_headers, \"\n \"and redirection_history in the output.\"\n ),\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"make_requests\"),\n ]\n\n def _parse_json_value(self, value: Any) -> Any:\n \"\"\"Parse a value that might be a JSON string.\"\"\"\n if not isinstance(value, str):\n return value\n\n try:\n parsed = json.loads(value)\n except json.JSONDecodeError:\n return value\n else:\n return parsed\n\n def _process_body(self, body: Any) -> dict:\n \"\"\"Process the body input into a valid dictionary.\n\n Args:\n body: The body to process, can be dict, str, or list\n Returns:\n Processed dictionary\n \"\"\"\n if body is None:\n return {}\n if isinstance(body, dict):\n return self._process_dict_body(body)\n if isinstance(body, str):\n return self._process_string_body(body)\n if isinstance(body, list):\n return self._process_list_body(body)\n\n return {}\n\n def _process_dict_body(self, body: dict) -> dict:\n \"\"\"Process dictionary body by parsing JSON values.\"\"\"\n return {k: self._parse_json_value(v) for k, v in body.items()}\n\n def _process_string_body(self, body: str) -> dict:\n \"\"\"Process string body by attempting JSON parse.\"\"\"\n try:\n return self._process_body(json.loads(body))\n except json.JSONDecodeError:\n return {\"data\": body}\n\n def _process_list_body(self, body: list) -> dict:\n \"\"\"Process list body by converting to key-value dictionary.\"\"\"\n processed_dict = {}\n\n try:\n for item in body:\n if not self._is_valid_key_value_item(item):\n continue\n\n key = item[\"key\"]\n value = self._parse_json_value(item[\"value\"])\n processed_dict[key] = value\n\n except (KeyError, TypeError, ValueError) as e:\n self.log(f\"Failed to process body list: {e}\")\n return {} # Return empty dictionary instead of None\n\n return processed_dict\n\n def _is_valid_key_value_item(self, item: Any) -> bool:\n \"\"\"Check if an item is a valid key-value dictionary.\"\"\"\n return isinstance(item, dict) and \"key\" in item and \"value\" in item\n\n def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:\n \"\"\"Parse a cURL command and update build configuration.\n\n Args:\n curl: The cURL command to parse\n build_config: The build configuration to update\n Returns:\n Updated build configuration\n \"\"\"\n try:\n parsed = parse_context(curl)\n\n # Update basic configuration\n build_config[\"urls\"][\"value\"] = [parsed.url]\n build_config[\"method\"][\"value\"] = parsed.method.upper()\n build_config[\"headers\"][\"advanced\"] = True\n build_config[\"body\"][\"advanced\"] = True\n\n # Process headers\n headers_list = [{\"key\": k, \"value\": v} for k, v in parsed.headers.items()]\n build_config[\"headers\"][\"value\"] = headers_list\n\n if headers_list:\n build_config[\"headers\"][\"advanced\"] = False\n\n # Process body data\n if not parsed.data:\n build_config[\"body\"][\"value\"] = []\n elif parsed.data:\n try:\n json_data = json.loads(parsed.data)\n if isinstance(json_data, dict):\n body_list = [\n {\"key\": k, \"value\": json.dumps(v) if isinstance(v, dict | list) else str(v)}\n for k, v in json_data.items()\n ]\n build_config[\"body\"][\"value\"] = body_list\n build_config[\"body\"][\"advanced\"] = False\n else:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": json.dumps(json_data)}]\n build_config[\"body\"][\"advanced\"] = False\n except json.JSONDecodeError:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": parsed.data}]\n build_config[\"body\"][\"advanced\"] = False\n\n except Exception as exc:\n msg = f\"Error parsing curl: {exc}\"\n self.log(msg)\n raise ValueError(msg) from exc\n\n return build_config\n\n def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None) -> dotdict:\n if field_name == \"use_curl\":\n build_config = self._update_curl_mode(build_config, use_curl=field_value)\n\n # Fields that should not be reset\n preserve_fields = {\"timeout\", \"follow_redirects\", \"save_to_file\", \"include_httpx_metadata\", \"use_curl\"}\n\n # Mapping between input types and their reset values\n type_reset_mapping = {\n TableInput: [],\n BoolInput: False,\n IntInput: 0,\n FloatInput: 0.0,\n MessageTextInput: \"\",\n StrInput: \"\",\n MultilineInput: \"\",\n DropdownInput: \"GET\",\n DataInput: {},\n }\n\n for input_field in self.inputs:\n # Only reset if field is not in preserve list\n if input_field.name not in preserve_fields:\n reset_value = type_reset_mapping.get(type(input_field), None)\n build_config[input_field.name][\"value\"] = reset_value\n self.log(f\"Reset field {input_field.name} to {reset_value}\")\n elif field_name == \"method\" and not self.use_curl:\n build_config = self._update_method_fields(build_config, field_value)\n elif field_name == \"curl\" and self.use_curl and field_value:\n build_config = self.parse_curl(field_value, build_config)\n return build_config\n\n def _update_curl_mode(self, build_config: dotdict, *, use_curl: bool) -> dotdict:\n always_visible = [\"method\", \"use_curl\"]\n\n for field in self.inputs:\n field_name = field.name\n field_config = build_config.get(field_name)\n if isinstance(field_config, dict):\n if field_name in always_visible:\n field_config[\"advanced\"] = False\n elif field_name == \"urls\":\n field_config[\"advanced\"] = use_curl\n elif field_name == \"curl\":\n field_config[\"advanced\"] = not use_curl\n field_config[\"real_time_refresh\"] = use_curl\n elif field_name in {\"body\", \"headers\"}:\n field_config[\"advanced\"] = True # Always keep body and headers in advanced when use_curl is False\n else:\n field_config[\"advanced\"] = use_curl\n else:\n self.log(f\"Expected dict for build_config[{field_name}], got {type(field_config).__name__}\")\n\n if not use_curl:\n current_method = build_config.get(\"method\", {}).get(\"value\", \"GET\")\n build_config = self._update_method_fields(build_config, current_method)\n\n return build_config\n\n def _update_method_fields(self, build_config: dotdict, method: str) -> dotdict:\n common_fields = [\n \"urls\",\n \"method\",\n \"use_curl\",\n ]\n\n always_advanced_fields = [\n \"body\",\n \"headers\",\n \"timeout\",\n \"follow_redirects\",\n \"save_to_file\",\n \"include_httpx_metadata\",\n ]\n\n body_fields = [\"body\"]\n\n for field in self.inputs:\n field_name = field.name\n field_config = build_config.get(field_name)\n if isinstance(field_config, dict):\n if field_name in common_fields:\n field_config[\"advanced\"] = False\n elif field_name in body_fields:\n field_config[\"advanced\"] = method not in {\"POST\", \"PUT\", \"PATCH\"}\n elif field_name in always_advanced_fields:\n field_config[\"advanced\"] = True\n else:\n field_config[\"advanced\"] = True\n else:\n self.log(f\"Expected dict for build_config[{field_name}], got {type(field_config).__name__}\")\n\n return build_config\n\n async def make_request(\n self,\n client: httpx.AsyncClient,\n method: str,\n url: str,\n headers: dict | None = None,\n body: Any = None,\n timeout: int = 5,\n *,\n follow_redirects: bool = True,\n save_to_file: bool = False,\n include_httpx_metadata: bool = False,\n ) -> Data:\n method = method.upper()\n if method not in {\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"}:\n msg = f\"Unsupported method: {method}\"\n raise ValueError(msg)\n\n # Process body using the new helper method\n processed_body = self._process_body(body)\n\n try:\n response = await client.request(\n method,\n url,\n headers=headers,\n json=processed_body,\n timeout=timeout,\n follow_redirects=follow_redirects,\n )\n\n redirection_history = [\n {\n \"url\": redirect.headers.get(\"Location\", str(redirect.url)),\n \"status_code\": redirect.status_code,\n }\n for redirect in response.history\n ]\n\n is_binary, file_path = await self._response_info(response, with_file_path=save_to_file)\n response_headers = self._headers_to_dict(response.headers)\n\n metadata: dict[str, Any] = {\n \"source\": url,\n }\n\n if save_to_file:\n mode = \"wb\" if is_binary else \"w\"\n encoding = response.encoding if mode == \"w\" else None\n if file_path:\n # Ensure parent directory exists\n await aiofiles_os.makedirs(file_path.parent, exist_ok=True)\n if is_binary:\n async with aiofiles.open(file_path, \"wb\") as f:\n await f.write(response.content)\n await f.flush()\n else:\n async with aiofiles.open(file_path, \"w\", encoding=encoding) as f:\n await f.write(response.text)\n await f.flush()\n metadata[\"file_path\"] = str(file_path)\n\n if include_httpx_metadata:\n metadata.update(\n {\n \"headers\": headers,\n \"status_code\": response.status_code,\n \"response_headers\": response_headers,\n **({\"redirection_history\": redirection_history} if redirection_history else {}),\n }\n )\n return Data(data=metadata)\n\n if is_binary:\n result = response.content\n else:\n try:\n result = response.json()\n except json.JSONDecodeError:\n self.log(\"Failed to decode JSON response\")\n result = response.text.encode(\"utf-8\")\n\n metadata.update({\"result\": result})\n\n if include_httpx_metadata:\n metadata.update(\n {\n \"headers\": headers,\n \"status_code\": response.status_code,\n \"response_headers\": response_headers,\n **({\"redirection_history\": redirection_history} if redirection_history else {}),\n }\n )\n return Data(data=metadata)\n except httpx.TimeoutException:\n return Data(\n data={\n \"source\": url,\n \"headers\": headers,\n \"status_code\": 408,\n \"error\": \"Request timed out\",\n },\n )\n except Exception as exc: # noqa: BLE001\n self.log(f\"Error making request to {url}\")\n return Data(\n data={\n \"source\": url,\n \"headers\": headers,\n \"status_code\": 500,\n \"error\": str(exc),\n **({\"redirection_history\": redirection_history} if redirection_history else {}),\n },\n )\n\n def add_query_params(self, url: str, params: dict) -> str:\n url_parts = list(urlparse(url))\n query = dict(parse_qsl(url_parts[4]))\n query.update(params)\n url_parts[4] = urlencode(query)\n return urlunparse(url_parts)\n\n async def make_requests(self) -> list[Data]:\n method = self.method\n urls = [url.strip() for url in self.urls if url.strip()]\n headers = self.headers or {}\n body = self.body or {}\n timeout = self.timeout\n follow_redirects = self.follow_redirects\n save_to_file = self.save_to_file\n include_httpx_metadata = self.include_httpx_metadata\n\n if self.use_curl and self.curl:\n self._build_config = self.parse_curl(self.curl, dotdict())\n\n invalid_urls = [url for url in urls if not validators.url(url)]\n if invalid_urls:\n msg = f\"Invalid URLs provided: {invalid_urls}\"\n raise ValueError(msg)\n\n if isinstance(self.query_params, str):\n query_params = dict(parse_qsl(self.query_params))\n else:\n query_params = self.query_params.data if self.query_params else {}\n\n # Process headers here\n headers = self._process_headers(headers)\n\n # Process body\n body = self._process_body(body)\n\n bodies = [body] * len(urls)\n\n urls = [self.add_query_params(url, query_params) for url in urls]\n\n async with httpx.AsyncClient() as client:\n results = await asyncio.gather(\n *[\n self.make_request(\n client,\n method,\n u,\n headers,\n rec,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n for u, rec in zip(urls, bodies, strict=False)\n ]\n )\n self.status = results\n return results\n\n async def _response_info(\n self, response: httpx.Response, *, with_file_path: bool = False\n ) -> tuple[bool, Path | None]:\n \"\"\"Determine the file path and whether the response content is binary.\n\n Args:\n response (Response): The HTTP response object.\n with_file_path (bool): Whether to save the response content to a file.\n\n Returns:\n Tuple[bool, Path | None]:\n A tuple containing a boolean indicating if the content is binary and the full file path (if applicable).\n \"\"\"\n content_type = response.headers.get(\"Content-Type\", \"\")\n is_binary = \"application/octet-stream\" in content_type or \"application/binary\" in content_type\n\n if not with_file_path:\n return is_binary, None\n\n component_temp_dir = Path(tempfile.gettempdir()) / self.__class__.__name__\n\n # Create directory asynchronously\n await aiofiles_os.makedirs(component_temp_dir, exist_ok=True)\n\n filename = None\n if \"Content-Disposition\" in response.headers:\n content_disposition = response.headers[\"Content-Disposition\"]\n filename_match = re.search(r'filename=\"(.+?)\"', content_disposition)\n if filename_match:\n extracted_filename = filename_match.group(1)\n filename = extracted_filename\n\n # Step 3: Infer file extension or use part of the request URL if no filename\n if not filename:\n # Extract the last segment of the URL path\n url_path = urlparse(str(response.request.url) if response.request else \"\").path\n base_name = Path(url_path).name # Get the last segment of the path\n if not base_name: # If the path ends with a slash or is empty\n base_name = \"response\"\n\n # Infer file extension\n content_type_to_extension = {\n \"text/plain\": \".txt\",\n \"application/json\": \".json\",\n \"image/jpeg\": \".jpg\",\n \"image/png\": \".png\",\n \"application/octet-stream\": \".bin\",\n }\n extension = content_type_to_extension.get(content_type, \".bin\" if is_binary else \".txt\")\n filename = f\"{base_name}{extension}\"\n\n # Step 4: Define the full file path\n file_path = component_temp_dir / filename\n\n # Step 5: Check if file exists asynchronously and handle accordingly\n try:\n # Try to create the file exclusively (x mode) to check existence\n async with aiofiles.open(file_path, \"x\") as _:\n pass # File created successfully, we can use this path\n except FileExistsError:\n # If file exists, append a timestamp to the filename\n timestamp = datetime.now(timezone.utc).strftime(\"%Y%m%d%H%M%S%f\")\n file_path = component_temp_dir / f\"{timestamp}-{filename}\"\n\n return is_binary, file_path\n\n def _headers_to_dict(self, headers: httpx.Headers) -> dict[str, str]:\n \"\"\"Convert HTTP headers to a dictionary with lowercased keys.\"\"\"\n return {k.lower(): v for k, v in headers.items()}\n\n def _process_headers(self, headers: Any) -> dict:\n \"\"\"Process the headers input into a valid dictionary.\n\n Args:\n headers: The headers to process, can be dict, str, or list\n Returns:\n Processed dictionary\n \"\"\"\n if headers is None:\n return {}\n if isinstance(headers, dict):\n return headers\n if isinstance(headers, list):\n processed_headers = {}\n try:\n for item in headers:\n if not self._is_valid_key_value_item(item):\n continue\n key = item[\"key\"]\n value = item[\"value\"]\n processed_headers[key] = value\n except (KeyError, TypeError, ValueError) as e:\n self.log(f\"Failed to process headers list: {e}\")\n return {} # Return empty dictionary instead of None\n return processed_headers\n return {}\n"
+ },
+ "curl": {
+ "_input_type": "MultilineInput",
+ "advanced": true,
+ "display_name": "cURL",
+ "dynamic": false,
+ "info": "Paste a curl command to populate the fields. This will fill in the dictionary fields for headers and body.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "multiline": true,
+ "name": "curl",
+ "placeholder": "",
+ "real_time_refresh": true,
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": true,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "follow_redirects": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Follow Redirects",
+ "dynamic": false,
+ "info": "Whether to follow http redirects.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "follow_redirects",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": true
+ },
+ "headers": {
+ "_input_type": "TableInput",
+ "advanced": true,
+ "display_name": "Headers",
+ "dynamic": false,
+ "info": "The headers to send with the request as a dictionary.",
+ "input_types": [
+ "Data"
+ ],
+ "is_list": true,
+ "list_add_label": "Add More",
+ "name": "headers",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "table_icon": "Table",
+ "table_schema": {
+ "columns": [
+ {
+ "default": "None",
+ "description": "Header name",
+ "disable_edit": false,
+ "display_name": "Header",
+ "edit_mode": "popover",
+ "filterable": true,
+ "formatter": "text",
+ "hidden": false,
+ "name": "key",
+ "sortable": true,
+ "type": "str"
+ },
+ {
+ "default": "None",
+ "description": "Header value",
+ "disable_edit": false,
+ "display_name": "Value",
+ "edit_mode": "popover",
+ "filterable": true,
+ "formatter": "text",
+ "hidden": false,
+ "name": "value",
+ "sortable": true,
+ "type": "str"
+ }
+ ]
+ },
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "trigger_icon": "Table",
+ "trigger_text": "Open table",
+ "type": "table",
+ "value": []
+ },
+ "include_httpx_metadata": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Include HTTPx Metadata",
+ "dynamic": false,
+ "info": "Include properties such as headers, status_code, response_headers, and redirection_history in the output.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "include_httpx_metadata",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": false
+ },
+ "method": {
+ "_input_type": "DropdownInput",
+ "advanced": false,
+ "combobox": false,
+ "dialog_inputs": {},
+ "display_name": "Method",
+ "dynamic": false,
+ "info": "The HTTP method to use.",
+ "load_from_db": false,
+ "name": "method",
+ "options": [
+ "GET",
+ "POST",
+ "PATCH",
+ "PUT",
+ "DELETE"
+ ],
+ "options_metadata": [],
+ "placeholder": "",
+ "real_time_refresh": true,
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "GET"
+ },
+ "query_params": {
+ "_input_type": "DataInput",
+ "advanced": true,
+ "display_name": "Query Parameters",
+ "dynamic": false,
+ "info": "The query parameters to append to the URL.",
+ "input_types": [
+ "Data"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "query_params",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "other",
+ "value": {}
+ },
+ "save_to_file": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Save to File",
+ "dynamic": false,
+ "info": "Save the API response to a temporary file",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "save_to_file",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": false
+ },
+ "timeout": {
+ "_input_type": "IntInput",
+ "advanced": true,
+ "display_name": "Timeout",
+ "dynamic": false,
+ "info": "The timeout to use for the request.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "timeout",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "int",
+ "value": 5
+ },
+ "tools_metadata": {
+ "_input_type": "TableInput",
+ "advanced": false,
+ "display_name": "Edit tools",
+ "dynamic": false,
+ "info": "",
+ "is_list": true,
+ "list_add_label": "Add More",
+ "name": "tools_metadata",
+ "placeholder": "",
+ "real_time_refresh": true,
+ "required": false,
+ "show": true,
+ "table_icon": "Hammer",
+ "table_options": {
+ "block_add": true,
+ "block_delete": true,
+ "block_edit": true,
+ "block_filter": true,
+ "block_hide": true,
+ "block_select": true,
+ "block_sort": true,
+ "description": "Modify tool names and descriptions to help agents understand when to use each tool.",
+ "field_parsers": {
+ "commands": "commands",
+ "name": [
+ "snake_case",
+ "no_blank"
+ ]
+ },
+ "hide_options": true
+ },
+ "table_schema": {
+ "columns": [
+ {
+ "default": "None",
+ "description": "Specify the name of the tool.",
+ "disable_edit": false,
+ "display_name": "Tool Name",
+ "edit_mode": "inline",
+ "filterable": false,
+ "formatter": "text",
+ "hidden": false,
+ "name": "name",
+ "sortable": false,
+ "type": "str"
+ },
+ {
+ "default": "None",
+ "description": "Describe the purpose of the tool.",
+ "disable_edit": false,
+ "display_name": "Tool Description",
+ "edit_mode": "popover",
+ "filterable": false,
+ "formatter": "text",
+ "hidden": false,
+ "name": "description",
+ "sortable": false,
+ "type": "str"
+ },
+ {
+ "default": "None",
+ "description": "The default identifiers for the tools and cannot be changed.",
+ "disable_edit": true,
+ "display_name": "Tool Identifiers",
+ "edit_mode": "inline",
+ "filterable": false,
+ "formatter": "text",
+ "hidden": true,
+ "name": "tags",
+ "sortable": false,
+ "type": "str"
+ },
+ {
+ "default": true,
+ "description": "Indicates whether the tool is currently active. Set to True to activate this tool.",
+ "disable_edit": false,
+ "display_name": "Enable",
+ "edit_mode": "popover",
+ "filterable": true,
+ "formatter": "boolean",
+ "hidden": false,
+ "name": "status",
+ "sortable": true,
+ "type": "boolean"
+ }
+ ]
+ },
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "trigger_icon": "Hammer",
+ "trigger_text": "",
+ "type": "table",
+ "value": [
+ {
+ "description": "make_requests() - Make HTTP requests using URLs or cURL commands.",
+ "name": "APIRequest-make_requests",
+ "tags": [
+ "APIRequest-make_requests"
+ ]
+ }
+ ]
+ },
+ "urls": {
+ "_input_type": "MessageTextInput",
+ "advanced": false,
+ "display_name": "URLs",
+ "dynamic": false,
+ "info": "Enter one or more URLs, separated by commas.",
+ "input_types": [
+ "Message"
+ ],
+ "list": true,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "urls",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": true,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": [
+ ""
+ ]
+ },
+ "use_curl": {
+ "_input_type": "BoolInput",
+ "advanced": false,
+ "display_name": "Use cURL",
+ "dynamic": false,
+ "info": "Enable cURL mode to populate fields from a cURL command.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "use_curl",
+ "placeholder": "",
+ "real_time_refresh": true,
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": false
+ }
+ },
+ "tool_mode": true
+ },
+ "showNode": true,
+ "type": "APIRequest"
+ },
+ "dragging": false,
+ "id": "APIRequest-BGQE7",
+ "measured": {
+ "height": 467,
+ "width": 320
+ },
+ "position": {
+ "x": 99.03855391505124,
+ "y": -381.36759080809065
+ },
+ "selected": false,
+ "type": "genericNode"
+ },
+ {
+ "data": {
+ "id": "ChatInput-RoWKY",
+ "node": {
+ "base_classes": [
+ "Message"
+ ],
+ "beta": false,
+ "category": "inputs",
+ "conditional_paths": [],
+ "custom_fields": {},
+ "description": "Get chat inputs from the Playground.",
+ "display_name": "Chat Input",
+ "documentation": "",
+ "edited": false,
+ "field_order": [
+ "input_value",
+ "should_store_message",
+ "sender",
+ "sender_name",
+ "session_id",
+ "files",
+ "background_color",
+ "chat_icon",
+ "text_color"
+ ],
+ "frozen": false,
+ "icon": "MessagesSquare",
+ "key": "ChatInput",
+ "legacy": false,
+ "lf_version": "1.2.0",
+ "metadata": {},
+ "minimized": true,
+ "output_types": [],
+ "outputs": [
+ {
+ "allows_loop": false,
+ "cache": true,
+ "display_name": "Message",
+ "method": "message_response",
+ "name": "message",
+ "selected": "Message",
+ "tool_mode": true,
+ "types": [
+ "Message"
+ ],
+ "value": "__UNDEFINED__"
+ }
+ ],
+ "pinned": false,
+ "score": 0.0020353564437605998,
+ "template": {
+ "_type": "Component",
+ "background_color": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Background Color",
+ "dynamic": false,
+ "info": "The background color of the icon.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "background_color",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "chat_icon": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Icon",
+ "dynamic": false,
+ "info": "The icon of the message.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "chat_icon",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "code": {
+ "advanced": true,
+ "dynamic": true,
+ "fileTypes": [],
+ "file_path": "",
+ "info": "",
+ "list": false,
+ "load_from_db": false,
+ "multiline": true,
+ "name": "code",
+ "password": false,
+ "placeholder": "",
+ "required": true,
+ "show": true,
+ "title_case": false,
+ "type": "code",
+ "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import (\n DropdownInput,\n FileInput,\n MessageTextInput,\n MultilineInput,\n Output,\n)\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_USER,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatInput\"\n minimized = True\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n input_types=[],\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n async def message_response(self) -> Message:\n background_color = self.background_color\n text_color = self.text_color\n icon = self.chat_icon\n\n message = await Message.create(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n properties={\n \"background_color\": background_color,\n \"text_color\": text_color,\n \"icon\": icon,\n },\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = await self.send_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n"
+ },
+ "files": {
+ "_input_type": "FileInput",
+ "advanced": true,
+ "display_name": "Files",
+ "dynamic": false,
+ "fileTypes": [
+ "txt",
+ "md",
+ "mdx",
+ "csv",
+ "json",
+ "yaml",
+ "yml",
+ "xml",
+ "html",
+ "htm",
+ "pdf",
+ "docx",
+ "py",
+ "sh",
+ "sql",
+ "js",
+ "ts",
+ "tsx",
+ "jpg",
+ "jpeg",
+ "png",
+ "bmp",
+ "image"
+ ],
+ "file_path": "",
+ "info": "Files to be sent with the message.",
+ "list": true,
+ "list_add_label": "Add More",
+ "name": "files",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "trace_as_metadata": true,
+ "type": "file",
+ "value": ""
+ },
+ "input_value": {
+ "_input_type": "MultilineInput",
+ "advanced": false,
+ "display_name": "Text",
+ "dynamic": false,
+ "info": "Message to be passed as input.",
+ "input_types": [],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "multiline": true,
+ "name": "input_value",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "sender": {
+ "_input_type": "DropdownInput",
+ "advanced": true,
+ "combobox": false,
+ "dialog_inputs": {},
+ "display_name": "Sender Type",
+ "dynamic": false,
+ "info": "Type of sender.",
+ "name": "sender",
+ "options": [
+ "Machine",
+ "User"
+ ],
+ "options_metadata": [],
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "User"
+ },
+ "sender_name": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Sender Name",
+ "dynamic": false,
+ "info": "Name of the sender.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "sender_name",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "User"
+ },
+ "session_id": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Session ID",
+ "dynamic": false,
+ "info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "session_id",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "should_store_message": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Store Messages",
+ "dynamic": false,
+ "info": "Store the message in the history.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "should_store_message",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": true
+ },
+ "text_color": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Text Color",
+ "dynamic": false,
+ "info": "The text color of the name",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "text_color",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ }
+ },
+ "tool_mode": false
+ },
+ "showNode": false,
+ "type": "ChatInput"
+ },
+ "dragging": false,
+ "id": "ChatInput-RoWKY",
+ "measured": {
+ "height": 66,
+ "width": 192
+ },
+ "position": {
+ "x": 253.05570107641427,
+ "y": 309.91174183872147
+ },
+ "selected": false,
+ "type": "genericNode"
+ },
+ {
+ "data": {
+ "id": "ChatOutput-CyhlX",
+ "node": {
+ "base_classes": [
+ "Message"
+ ],
+ "beta": false,
+ "category": "outputs",
+ "conditional_paths": [],
+ "custom_fields": {},
+ "description": "Display a chat message in the Playground.",
+ "display_name": "Chat Output",
+ "documentation": "",
+ "edited": false,
+ "field_order": [
+ "input_value",
+ "should_store_message",
+ "sender",
+ "sender_name",
+ "session_id",
+ "data_template",
+ "background_color",
+ "chat_icon",
+ "text_color"
+ ],
+ "frozen": false,
+ "icon": "MessagesSquare",
+ "key": "ChatOutput",
+ "legacy": false,
+ "lf_version": "1.2.0",
+ "metadata": {},
+ "minimized": true,
+ "output_types": [],
+ "outputs": [
+ {
+ "allows_loop": false,
+ "cache": true,
+ "display_name": "Message",
+ "method": "message_response",
+ "name": "message",
+ "selected": "Message",
+ "tool_mode": true,
+ "types": [
+ "Message"
+ ],
+ "value": "__UNDEFINED__"
+ }
+ ],
+ "pinned": false,
+ "score": 0.003169567463043492,
+ "template": {
+ "_type": "Component",
+ "background_color": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Background Color",
+ "dynamic": false,
+ "info": "The background color of the icon.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "background_color",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "chat_icon": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Icon",
+ "dynamic": false,
+ "info": "The icon of the message.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "chat_icon",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "clean_data": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Basic Clean Data",
+ "dynamic": false,
+ "info": "Whether to clean the data",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "clean_data",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": true
+ },
+ "code": {
+ "advanced": true,
+ "dynamic": true,
+ "fileTypes": [],
+ "file_path": "",
+ "info": "",
+ "list": false,
+ "load_from_db": false,
+ "multiline": true,
+ "name": "code",
+ "password": false,
+ "placeholder": "",
+ "required": true,
+ "show": true,
+ "title_case": false,
+ "type": "code",
+ "value": "from collections.abc import Generator\nfrom typing import Any\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.inputs.inputs import HandleInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.data import Data\nfrom langflow.schema.dataframe import DataFrame\nfrom langflow.schema.message import Message\nfrom langflow.schema.properties import Source\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_AI,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n minimized = True\n\n inputs = [\n HandleInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n input_types=[\"Data\", \"DataFrame\", \"Message\"],\n required=True,\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n BoolInput(\n name=\"clean_data\",\n display_name=\"Basic Clean Data\",\n value=True,\n info=\"Whether to clean the data\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(\n display_name=\"Message\",\n name=\"message\",\n method=\"message_response\",\n ),\n ]\n\n def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n source_dict = {}\n if id_:\n source_dict[\"id\"] = id_\n if display_name:\n source_dict[\"display_name\"] = display_name\n if source:\n # Handle case where source is a ChatOpenAI object\n if hasattr(source, \"model_name\"):\n source_dict[\"source\"] = source.model_name\n elif hasattr(source, \"model\"):\n source_dict[\"source\"] = str(source.model)\n else:\n source_dict[\"source\"] = str(source)\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n # First convert the input to string if needed\n text = self.convert_to_string()\n # Get source properties\n source, icon, display_name, source_id = self.get_properties_from_source_component()\n background_color = self.background_color\n text_color = self.text_color\n if self.chat_icon:\n icon = self.chat_icon\n\n # Create or use existing Message object\n if isinstance(self.input_value, Message):\n message = self.input_value\n # Update message properties\n message.text = text\n else:\n message = Message(text=text)\n\n # Set message properties\n message.sender = self.sender\n message.sender_name = self.sender_name\n message.session_id = self.session_id\n message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n message.properties.source = self._build_source(source_id, display_name, source)\n message.properties.icon = icon\n message.properties.background_color = background_color\n message.properties.text_color = text_color\n\n # Store message if needed\n if self.session_id and self.should_store_message:\n stored_message = await self.send_message(message)\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n\n def _validate_input(self) -> None:\n \"\"\"Validate the input data and raise ValueError if invalid.\"\"\"\n if self.input_value is None:\n msg = \"Input data cannot be None\"\n raise ValueError(msg)\n if isinstance(self.input_value, list) and not all(\n isinstance(item, Message | Data | DataFrame | str) for item in self.input_value\n ):\n invalid_types = [\n type(item).__name__\n for item in self.input_value\n if not isinstance(item, Message | Data | DataFrame | str)\n ]\n msg = f\"Expected Data or DataFrame or Message or str, got {invalid_types}\"\n raise TypeError(msg)\n if not isinstance(\n self.input_value,\n Message | Data | DataFrame | str | list | Generator | type(None),\n ):\n type_name = type(self.input_value).__name__\n msg = f\"Expected Data or DataFrame or Message or str, Generator or None, got {type_name}\"\n raise TypeError(msg)\n\n def _safe_convert(self, data: Any) -> str:\n \"\"\"Safely convert input data to string.\"\"\"\n try:\n if isinstance(data, str):\n return data\n if isinstance(data, Message):\n return data.get_text()\n if isinstance(data, Data):\n if data.get_text() is None:\n msg = \"Empty Data object\"\n raise ValueError(msg)\n return data.get_text()\n if isinstance(data, DataFrame):\n if self.clean_data:\n # Remove empty rows\n data = data.dropna(how=\"all\")\n # Remove empty lines in each cell\n data = data.replace(r\"^\\s*$\", \"\", regex=True)\n # Replace multiple newlines with a single newline\n data = data.replace(r\"\\n+\", \"\\n\", regex=True)\n\n # Replace pipe characters to avoid markdown table issues\n processed_data = data.replace(r\"\\|\", r\"\\\\|\", regex=True)\n\n processed_data = processed_data.map(\n lambda x: str(x).replace(\"\\n\", \"
\") if isinstance(x, str) else x\n )\n\n return processed_data.to_markdown(index=False)\n return str(data)\n except (ValueError, TypeError, AttributeError) as e:\n msg = f\"Error converting data: {e!s}\"\n raise ValueError(msg) from e\n\n def convert_to_string(self) -> str | Generator[Any, None, None]:\n \"\"\"Convert input data to string with proper error handling.\"\"\"\n self._validate_input()\n if isinstance(self.input_value, list):\n return \"\\n\".join([self._safe_convert(item) for item in self.input_value])\n if isinstance(self.input_value, Generator):\n return self.input_value\n return self._safe_convert(self.input_value)\n"
+ },
+ "data_template": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Data Template",
+ "dynamic": false,
+ "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "data_template",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "{text}"
+ },
+ "input_value": {
+ "_input_type": "MessageInput",
+ "advanced": false,
+ "display_name": "Text",
+ "dynamic": false,
+ "info": "Message to be passed as output.",
+ "input_types": [
+ "Data",
+ "DataFrame",
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "input_value",
+ "placeholder": "",
+ "required": true,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "sender": {
+ "_input_type": "DropdownInput",
+ "advanced": true,
+ "combobox": false,
+ "dialog_inputs": {},
+ "display_name": "Sender Type",
+ "dynamic": false,
+ "info": "Type of sender.",
+ "name": "sender",
+ "options": [
+ "Machine",
+ "User"
+ ],
+ "options_metadata": [],
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "Machine"
+ },
+ "sender_name": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Sender Name",
+ "dynamic": false,
+ "info": "Name of the sender.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "sender_name",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "Pokédex"
+ },
+ "session_id": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Session ID",
+ "dynamic": false,
+ "info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "session_id",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "should_store_message": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Store Messages",
+ "dynamic": false,
+ "info": "Store the message in the history.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "should_store_message",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": true
+ },
+ "text_color": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Text Color",
+ "dynamic": false,
+ "info": "The text color of the name",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "text_color",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ }
+ },
+ "tool_mode": false
+ },
+ "showNode": false,
+ "type": "ChatOutput"
+ },
+ "id": "ChatOutput-CyhlX",
+ "measured": {
+ "height": 66,
+ "width": 192
+ },
+ "position": {
+ "x": 1020,
+ "y": 180
+ },
+ "selected": false,
+ "type": "genericNode"
+ },
+ {
+ "data": {
+ "id": "note-b3G9D",
+ "node": {
+ "description": "## Open the playground and ask anything about a Pokémon! ⚡ 🐹",
+ "display_name": "",
+ "documentation": "",
+ "template": {
+ "backgroundColor": "transparent"
+ }
+ },
+ "type": "note"
+ },
+ "dragging": false,
+ "height": 324,
+ "id": "note-b3G9D",
+ "measured": {
+ "height": 324,
+ "width": 390
+ },
+ "position": {
+ "x": 972.3620941029305,
+ "y": -566.962566336068
+ },
+ "resizing": false,
+ "selected": false,
+ "type": "noteNode",
+ "width": 391
+ },
+ {
+ "data": {
+ "id": "note-IvfTH",
+ "node": {
+ "description": "# Pokédex Agent\n\nCollect research on Pokémon with a specialized **Agent** and the Pokédex API.\n\n## Prerequisites\n\n* An [OpenAI API key](https://platform.openai.com/)\n\n## Quickstart\n\n1. Paste your OpenAI API key in the **Agent** component.\n2. Click **Playground** and ask about your favorite Pokémon.\nThe **Agent** queries the Pokedex API and returns a formatted entry.",
+ "display_name": "",
+ "documentation": "",
+ "template": {}
+ },
+ "type": "note"
+ },
+ "dragging": false,
+ "height": 543,
+ "id": "note-IvfTH",
+ "measured": {
+ "height": 543,
+ "width": 349
+ },
+ "position": {
+ "x": -364.79357624384227,
+ "y": -251.04685859774636
+ },
+ "resizing": false,
+ "selected": false,
+ "type": "noteNode",
+ "width": 348
+ },
+ {
+ "data": {
+ "id": "note-uhBvU",
+ "node": {
+ "description": "### 💡 Add your OpenAI API key here",
+ "display_name": "",
+ "documentation": "",
+ "template": {
+ "backgroundColor": "transparent"
+ }
+ },
+ "type": "note"
+ },
+ "dragging": false,
+ "height": 324,
+ "id": "note-uhBvU",
+ "measured": {
+ "height": 324,
+ "width": 334
+ },
+ "position": {
+ "x": 572.2283687381639,
+ "y": -341.52394719582
+ },
+ "resizing": false,
+ "selected": false,
+ "type": "noteNode",
+ "width": 335
+ },
+ {
+ "data": {
+ "id": "Agent-SJJs5",
+ "node": {
+ "base_classes": [
+ "Message"
+ ],
+ "beta": false,
+ "category": "agents",
+ "conditional_paths": [],
+ "custom_fields": {},
+ "description": "Define the agent's instructions, then enter a task to complete using tools.",
+ "display_name": "Agent",
+ "documentation": "",
+ "edited": false,
+ "field_order": [
+ "agent_llm",
+ "max_tokens",
+ "model_kwargs",
+ "json_mode",
+ "model_name",
+ "openai_api_base",
+ "api_key",
+ "temperature",
+ "seed",
+ "max_retries",
+ "timeout",
+ "system_prompt",
+ "tools",
+ "input_value",
+ "handle_parsing_errors",
+ "verbose",
+ "max_iterations",
+ "agent_description",
+ "memory",
+ "sender",
+ "sender_name",
+ "n_messages",
+ "session_id",
+ "order",
+ "template",
+ "add_current_date_tool"
+ ],
+ "frozen": false,
+ "icon": "bot",
+ "key": "Agent",
+ "legacy": false,
+ "metadata": {},
+ "minimized": false,
+ "output_types": [],
+ "outputs": [
+ {
+ "allows_loop": false,
+ "cache": true,
+ "display_name": "Response",
+ "method": "message_response",
+ "name": "response",
+ "selected": "Message",
+ "tool_mode": true,
+ "types": [
+ "Message"
+ ],
+ "value": "__UNDEFINED__"
+ }
+ ],
+ "pinned": false,
+ "score": 5.283996070936036e-7,
+ "template": {
+ "_type": "Component",
+ "add_current_date_tool": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Current Date",
+ "dynamic": false,
+ "info": "If true, will add a tool to the agent that returns the current date.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "add_current_date_tool",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": true
+ },
+ "agent_description": {
+ "_input_type": "MultilineInput",
+ "advanced": true,
+ "copy_field": false,
+ "display_name": "Agent Description [Deprecated]",
+ "dynamic": false,
+ "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "multiline": true,
+ "name": "agent_description",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "A helpful assistant with access to the following tools:"
+ },
+ "agent_llm": {
+ "_input_type": "DropdownInput",
+ "advanced": false,
+ "combobox": false,
+ "dialog_inputs": {},
+ "display_name": "Model Provider",
+ "dynamic": false,
+ "info": "The provider of the language model that the agent will use to generate responses.",
+ "input_types": [],
+ "name": "agent_llm",
+ "options": [
+ "Amazon Bedrock",
+ "Anthropic",
+ "Azure OpenAI",
+ "Google Generative AI",
+ "Groq",
+ "NVIDIA",
+ "OpenAI",
+ "SambaNova",
+ "Custom"
+ ],
+ "options_metadata": [
+ {
+ "icon": "Amazon"
+ },
+ {
+ "icon": "Anthropic"
+ },
+ {
+ "icon": "Azure"
+ },
+ {
+ "icon": "GoogleGenerativeAI"
+ },
+ {
+ "icon": "Groq"
+ },
+ {
+ "icon": "NVIDIA"
+ },
+ {
+ "icon": "OpenAI"
+ },
+ {
+ "icon": "SambaNova"
+ },
+ {
+ "icon": "brain"
+ }
+ ],
+ "placeholder": "",
+ "real_time_refresh": true,
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "OpenAI"
+ },
+ "api_key": {
+ "_input_type": "SecretStrInput",
+ "advanced": false,
+ "display_name": "OpenAI API Key",
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "input_types": [
+ "Message"
+ ],
+ "load_from_db": false,
+ "name": "api_key",
+ "password": true,
+ "placeholder": "",
+ "required": true,
+ "show": true,
+ "title_case": false,
+ "type": "str",
+ "value": ""
+ },
+ "code": {
+ "advanced": true,
+ "dynamic": true,
+ "fileTypes": [],
+ "file_path": "",
+ "info": "",
+ "list": false,
+ "load_from_db": false,
+ "multiline": true,
+ "name": "code",
+ "password": false,
+ "placeholder": "",
+ "required": true,
+ "show": true,
+ "title_case": false,
+ "type": "code",
+ "value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.agents.events import ExceptionWithMessageError\nfrom langflow.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS_DICT,\n MODELS_METADATA,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom langflow.custom.custom_component.component import _get_component_toolkit\nfrom langflow.custom.utils import update_component_build_config\nfrom langflow.field_typing import Tool\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.logging import logger\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n component_input.advanced = True\n return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n display_name: str = \"Agent\"\n description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n icon = \"bot\"\n beta = False\n name = \"Agent\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n options_metadata=[MODELS_METADATA[key] for key in sorted(MODELS_METADATA.keys())] + [{\"icon\": \"brain\"}],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"system_prompt\",\n display_name=\"Agent Instructions\",\n info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n advanced=False,\n ),\n *LCToolsAgentComponent._base_inputs,\n *memory_inputs,\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n async def message_response(self) -> Message:\n try:\n # Get LLM model and validate\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected. Please choose a model to proceed.\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n\n # Get memory data\n self.chat_history = await self.get_memory_data()\n\n # Add current date tool if enabled\n if self.add_current_date_tool:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if not isinstance(current_date_tool, StructuredTool):\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n self.tools.append(current_date_tool)\n\n # Validate tools\n if not self.tools:\n msg = \"Tools are required to run the agent. Please add at least one tool.\"\n raise ValueError(msg)\n\n # Set up and run agent\n self.set(\n llm=llm_model,\n tools=self.tools,\n chat_history=self.chat_history,\n input_value=self.input_value,\n system_prompt=self.system_prompt,\n )\n agent = self.create_agent_runnable()\n return await self.run_agent(agent)\n\n except (ValueError, TypeError, KeyError) as e:\n logger.error(f\"{type(e).__name__}: {e!s}\")\n raise\n except ExceptionWithMessageError as e:\n logger.error(f\"ExceptionWithMessageError occurred: {e}\")\n raise\n except Exception as e:\n logger.error(f\"Unexpected error: {e!s}\")\n raise\n\n async def get_memory_data(self):\n memory_kwargs = {\n component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n }\n # filter out empty values\n memory_kwargs = {k: v for k, v in memory_kwargs.items() if v}\n\n return await MemoryComponent(**self.get_base_args()).set(**memory_kwargs).retrieve_messages()\n\n def get_llm(self):\n if not isinstance(self.agent_llm, str):\n return self.agent_llm, None\n\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if not provider_info:\n msg = f\"Invalid model provider: {self.agent_llm}\"\n raise ValueError(msg)\n\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n\n return self._build_llm_model(component_class, inputs, prefix), display_name\n\n except Exception as e:\n logger.error(f\"Error building {self.agent_llm} language model: {e!s}\")\n msg = f\"Failed to initialize language model: {e!s}\"\n raise ValueError(msg) from e\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n # Iterate over all providers in the MODEL_PROVIDERS_DICT\n # Existing logic for updating build_config\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call the component class's update_build_config method\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n # Reset input types for agent_llm\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n options_metadata=[MODELS_METADATA[key] for key in sorted(MODELS_METADATA.keys())]\n + [{\"icon\": \"brain\"}],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"system_prompt\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call each component class's update_build_config method\n # remove the prefix from the field_name\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n\n async def to_toolkit(self) -> list[Tool]:\n component_toolkit = _get_component_toolkit()\n tools_names = self._build_tools_names()\n agent_description = self.get_tool_description()\n # TODO: Agent Description Depreciated Feature to be removed\n description = f\"{agent_description}{tools_names}\"\n tools = component_toolkit(component=self).get_tools(\n tool_name=self.get_tool_name(), tool_description=description, callbacks=self.get_langchain_callbacks()\n )\n if hasattr(self, \"tools_metadata\"):\n tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)\n return tools\n"
+ },
+ "handle_parsing_errors": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Handle Parse Errors",
+ "dynamic": false,
+ "info": "Should the Agent fix errors when reading user input for better processing?",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "handle_parsing_errors",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": true
+ },
+ "input_value": {
+ "_input_type": "MessageTextInput",
+ "advanced": false,
+ "display_name": "Input",
+ "dynamic": false,
+ "info": "The input provided by the user for the agent to process.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "input_value",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": true,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "json_mode": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "JSON Mode",
+ "dynamic": false,
+ "info": "If True, it will output JSON regardless of passing a schema.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "json_mode",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": false
+ },
+ "max_iterations": {
+ "_input_type": "IntInput",
+ "advanced": true,
+ "display_name": "Max Iterations",
+ "dynamic": false,
+ "info": "The maximum number of attempts the agent can make to complete its task before it stops.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "max_iterations",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "int",
+ "value": 15
+ },
+ "max_retries": {
+ "_input_type": "IntInput",
+ "advanced": true,
+ "display_name": "Max Retries",
+ "dynamic": false,
+ "info": "The maximum number of retries to make when generating.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "max_retries",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "int",
+ "value": 5
+ },
+ "max_tokens": {
+ "_input_type": "IntInput",
+ "advanced": true,
+ "display_name": "Max Tokens",
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "max_tokens",
+ "placeholder": "",
+ "range_spec": {
+ "max": 128000,
+ "min": 0,
+ "step": 0.1,
+ "step_type": "float"
+ },
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "int",
+ "value": ""
+ },
+ "memory": {
+ "_input_type": "HandleInput",
+ "advanced": true,
+ "display_name": "External Memory",
+ "dynamic": false,
+ "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.",
+ "input_types": [
+ "Memory"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "memory",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "trace_as_metadata": true,
+ "type": "other",
+ "value": ""
+ },
+ "model_kwargs": {
+ "_input_type": "DictInput",
+ "advanced": true,
+ "display_name": "Model Kwargs",
+ "dynamic": false,
+ "info": "Additional keyword arguments to pass to the model.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "model_kwargs",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "type": "dict",
+ "value": {}
+ },
+ "model_name": {
+ "_input_type": "DropdownInput",
+ "advanced": false,
+ "combobox": true,
+ "dialog_inputs": {},
+ "display_name": "Model Name",
+ "dynamic": false,
+ "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.",
+ "name": "model_name",
+ "options": [
+ "gpt-4o-mini",
+ "gpt-4o",
+ "gpt-4.5-preview",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-4",
+ "gpt-3.5-turbo"
+ ],
+ "options_metadata": [],
+ "placeholder": "",
+ "real_time_refresh": false,
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "gpt-4o"
+ },
+ "n_messages": {
+ "_input_type": "IntInput",
+ "advanced": true,
+ "display_name": "Number of Messages",
+ "dynamic": false,
+ "info": "Number of messages to retrieve.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "n_messages",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "int",
+ "value": 100
+ },
+ "openai_api_base": {
+ "_input_type": "StrInput",
+ "advanced": true,
+ "display_name": "OpenAI API Base",
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "openai_api_base",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "order": {
+ "_input_type": "DropdownInput",
+ "advanced": true,
+ "combobox": false,
+ "dialog_inputs": {},
+ "display_name": "Order",
+ "dynamic": false,
+ "info": "Order of the messages.",
+ "name": "order",
+ "options": [
+ "Ascending",
+ "Descending"
+ ],
+ "options_metadata": [],
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "Ascending"
+ },
+ "seed": {
+ "_input_type": "IntInput",
+ "advanced": true,
+ "display_name": "Seed",
+ "dynamic": false,
+ "info": "The seed controls the reproducibility of the job.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "seed",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "int",
+ "value": 1
+ },
+ "sender": {
+ "_input_type": "DropdownInput",
+ "advanced": true,
+ "combobox": false,
+ "dialog_inputs": {},
+ "display_name": "Sender Type",
+ "dynamic": false,
+ "info": "Filter by sender type.",
+ "name": "sender",
+ "options": [
+ "Machine",
+ "User",
+ "Machine and User"
+ ],
+ "options_metadata": [],
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "Machine and User"
+ },
+ "sender_name": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Sender Name",
+ "dynamic": false,
+ "info": "Filter by sender name.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "sender_name",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "session_id": {
+ "_input_type": "MessageTextInput",
+ "advanced": true,
+ "display_name": "Session ID",
+ "dynamic": false,
+ "info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "name": "session_id",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": ""
+ },
+ "system_prompt": {
+ "_input_type": "MultilineInput",
+ "advanced": false,
+ "copy_field": false,
+ "display_name": "Agent Instructions",
+ "dynamic": false,
+ "info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "multiline": true,
+ "name": "system_prompt",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "You are a pokedex. Grab information about pokemons using the following endpoint:\nhttps://pokeapi.co/api/v2/pokemon/\n\nFor example:\nhttps://pokeapi.co/api/v2/pokemon/ditto\nhttps://pokeapi.co/api/v2/pokemon/pikachu\n\nFix user pokemon name mispelling."
+ },
+ "temperature": {
+ "_input_type": "SliderInput",
+ "advanced": true,
+ "display_name": "Temperature",
+ "dynamic": false,
+ "info": "",
+ "max_label": "",
+ "max_label_icon": "",
+ "min_label": "",
+ "min_label_icon": "",
+ "name": "temperature",
+ "placeholder": "",
+ "range_spec": {
+ "max": 1,
+ "min": 0,
+ "step": 0.01,
+ "step_type": "float"
+ },
+ "required": false,
+ "show": true,
+ "slider_buttons": false,
+ "slider_buttons_options": [],
+ "slider_input": false,
+ "title_case": false,
+ "tool_mode": false,
+ "type": "slider",
+ "value": 0.1
+ },
+ "template": {
+ "_input_type": "MultilineInput",
+ "advanced": true,
+ "copy_field": false,
+ "display_name": "Template",
+ "dynamic": false,
+ "info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.",
+ "input_types": [
+ "Message"
+ ],
+ "list": false,
+ "list_add_label": "Add More",
+ "load_from_db": false,
+ "multiline": true,
+ "name": "template",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_input": true,
+ "trace_as_metadata": true,
+ "type": "str",
+ "value": "{sender_name}: {text}"
+ },
+ "timeout": {
+ "_input_type": "IntInput",
+ "advanced": true,
+ "display_name": "Timeout",
+ "dynamic": false,
+ "info": "The timeout for requests to OpenAI completion API.",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "timeout",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "int",
+ "value": 700
+ },
+ "tools": {
+ "_input_type": "HandleInput",
+ "advanced": false,
+ "display_name": "Tools",
+ "dynamic": false,
+ "info": "These are the tools that the agent can use to help with tasks.",
+ "input_types": [
+ "Tool"
+ ],
+ "list": true,
+ "list_add_label": "Add More",
+ "name": "tools",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "trace_as_metadata": true,
+ "type": "other",
+ "value": ""
+ },
+ "verbose": {
+ "_input_type": "BoolInput",
+ "advanced": true,
+ "display_name": "Verbose",
+ "dynamic": false,
+ "info": "",
+ "list": false,
+ "list_add_label": "Add More",
+ "name": "verbose",
+ "placeholder": "",
+ "required": false,
+ "show": true,
+ "title_case": false,
+ "tool_mode": false,
+ "trace_as_metadata": true,
+ "type": "bool",
+ "value": true
+ }
+ },
+ "tool_mode": false
+ },
+ "showNode": true,
+ "type": "Agent"
+ },
+ "id": "Agent-SJJs5",
+ "measured": {
+ "height": 624,
+ "width": 320
+ },
+ "position": {
+ "x": 585,
+ "y": -270
+ },
+ "selected": false,
+ "type": "genericNode"
+ }
+ ],
+ "viewport": {
+ "x": 263.8051743558836,
+ "y": 417.15127589808276,
+ "zoom": 0.8157279318875189
+ }
+ },
+ "description": "Research Pokémon with a specialized Agent and the Pokédex API.",
+ "endpoint_name": null,
+ "id": "e062c7a2-5f48-41bc-b22e-6473777d4473",
+ "is_component": false,
+ "last_tested_version": "1.2.0",
+ "name": "Pokédex Agent",
+ "tags": [
+ "agents"
+ ]
+}
\ No newline at end of file