Chore: Prettier for consistant formatting (#794)

* Chore: Pretier for consistant formatting

- TODO: This PR needs to be updated by Saoud after he runs `npm install` & `npm format:fix` and commits the results of the prettier changes.

* Revert prettier config

* Run npm install

* Fix prettier config and ignore package lock

* Run format

---------

Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>

src/api/providers/anthropic.ts

@@ -36,7 +36,7 @@ export class AnthropicHandler implements ApiHandler {
 				*/
 				const userMsgIndices = messages.reduce(
 					(acc, msg, index) => (msg.role === "user" ? [...acc, index] : acc),
-					[] as number[]
+					[] as number[],
 				)
 				const lastUserMsgIndex = userMsgIndices[userMsgIndices.length - 1] ?? -1
 				const secondLastMsgUserIndex = userMsgIndices[userMsgIndices.length - 2] ?? -1
@@ -58,12 +58,12 @@ export class AnthropicHandler implements ApiHandler {
 														text: message.content,
 														cache_control: { type: "ephemeral" },
 													},
-											  ]
+												]
 											: message.content.map((content, contentIndex) =>
 													contentIndex === message.content.length - 1
 														? { ...content, cache_control: { type: "ephemeral" } }
-														: content
-											  ),
+														: content,
+												),
 								}
 							}
 							return message
@@ -88,7 +88,7 @@ export class AnthropicHandler implements ApiHandler {
 							default:
 								return undefined
 						}
-					})()
+					})(),
 				)
 				break
 			}

src/api/providers/lmstudio.ts

@@ -42,7 +42,7 @@ export class LmStudioHandler implements ApiHandler {
 		} catch (error) {
 			// LM Studio doesn't return an error code/body for now
 			throw new Error(
-				"Please check the LM Studio developer logs to debug what went wrong. You may need to load the model with a larger context length to work with Cline's prompts."
+				"Please check the LM Studio developer logs to debug what went wrong. You may need to load the model with a larger context length to work with Cline's prompts.",
 			)
 		}
 	}

src/api/transform/gemini-format.ts

@@ -19,7 +19,7 @@ export function convertAnthropicContentToGemini(
 				| Anthropic.Messages.ImageBlockParam
 				| Anthropic.Messages.ToolUseBlockParam
 				| Anthropic.Messages.ToolResultBlockParam
-		  >
+		  >,
 ): Part[] {
 	if (typeof content === "string") {
 		return [{ text: content } as TextPart]
@@ -83,7 +83,7 @@ export function convertAnthropicContentToGemini(
 										data: part.source.data,
 										mimeType: part.source.media_type,
 									},
-								} as InlineDataPart)
+								}) as InlineDataPart,
 						),
 					]
 				}
@@ -113,7 +113,7 @@ export function convertAnthropicToolToGemini(tool: Anthropic.Messages.Tool): Fun
 						type: (value as any).type.toUpperCase(),
 						description: (value as any).description || "",
 					},
-				])
+				]),
 			),
 			required: (tool.input_schema.required as string[]) || [],
 		},
@@ -133,7 +133,7 @@ export function unescapeGeminiContent(content: string) {
 }
 
 export function convertGeminiResponseToAnthropic(
-	response: EnhancedGenerateContentResponse
+	response: EnhancedGenerateContentResponse,
 ): Anthropic.Messages.Message {
 	const content: Anthropic.Messages.ContentBlock[] = []
 

src/api/transform/o1-format.ts

@@ -167,7 +167,7 @@ I've analyzed the project structure, but I need more information to proceed. Let
 
 export function convertToO1Messages(
 	openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[],
-	systemPrompt: string
+	systemPrompt: string,
 ): OpenAI.Chat.ChatCompletionMessageParam[] {
 	const toolsReplaced = openAiMessages.reduce((acc, message) => {
 		if (message.role === "tool") {
@@ -360,7 +360,7 @@ function validateToolInput(toolName: string, tool_input: Record<string, string>)
 
 // Convert OpenAI response to Anthropic format
 export function convertO1ResponseToAnthropicMessage(
-	completion: OpenAI.Chat.Completions.ChatCompletion
+	completion: OpenAI.Chat.Completions.ChatCompletion,
 ): Anthropic.Messages.Message {
 	const openAiMessage = completion.choices[0].message
 	const { normalText, toolCalls } = parseAIResponse(openAiMessage.content || "")
@@ -405,7 +405,7 @@ export function convertO1ResponseToAnthropicMessage(
 					name: toolCall.tool,
 					input: toolCall.tool_input,
 				}
-			})
+			}),
 		)
 	}
 

src/api/transform/openai-format.ts

@@ -2,7 +2,7 @@ import { Anthropic } from "@anthropic-ai/sdk"
 import OpenAI from "openai"
 
 export function convertToOpenAiMessages(
-	anthropicMessages: Anthropic.Messages.MessageParam[]
+	anthropicMessages: Anthropic.Messages.MessageParam[],
 ): OpenAI.Chat.ChatCompletionMessageParam[] {
 	const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = []
 
@@ -31,7 +31,7 @@ export function convertToOpenAiMessages(
 						} // user cannot send tool_use messages
 						return acc
 					},
-					{ nonToolMessages: [], toolMessages: [] }
+					{ nonToolMessages: [], toolMessages: [] },
 				)
 
 				// Process tool result messages FIRST since they must follow the tool use messages
@@ -105,7 +105,7 @@ export function convertToOpenAiMessages(
 						} // assistant cannot send tool_result messages
 						return acc
 					},
-					{ nonToolMessages: [], toolMessages: [] }
+					{ nonToolMessages: [], toolMessages: [] },
 				)
 
 				// Process non-tool messages
@@ -147,7 +147,7 @@ export function convertToOpenAiMessages(
 
 // Convert OpenAI response to Anthropic format
 export function convertToAnthropicMessage(
-	completion: OpenAI.Chat.Completions.ChatCompletion
+	completion: OpenAI.Chat.Completions.ChatCompletion,
 ): Anthropic.Messages.Message {
 	const openAiMessage = completion.choices[0].message
 	const anthropicMessage: Anthropic.Messages.Message = {
@@ -196,7 +196,7 @@ export function convertToAnthropicMessage(
 					name: toolCall.function.name,
 					input: parsedInput,
 				}
-			})
+			}),
 		)
 	}
 	return anthropicMessage