chore: fix formatting

Author: deloreyj

apps/workers-bindings/evals/kv_namespaces.eval.ts

@@ -54,8 +54,7 @@ eachModel('$modelName', ({ model }) => {
 	describeEval('Rename Cloudflare KV Namespace', {
 		data: async () => [
 			{
-				input:
-					'Rename my Cloudflare KV Namespace with ID 1234 to "my-new-test-namespace".',
+				input: 'Rename my Cloudflare KV Namespace with ID 1234 to "my-new-test-namespace".',
 				expected: `The ${KV_NAMESPACE_TOOLS.kv_namespace_update} tool should be called to rename the kv namespace.`,
 			},
 		],

packages/eval-tools/src/runTask.ts

@@ -61,7 +61,7 @@ export async function runTask(
 	// convert into an LLM readable result so our factuality checker can validate tool calls
 	let messagesWithTools = ''
 	const toolCalls: ToolCallPart[] = []
-	const response = res.response;
+	const response = res.response
 	const messages = response.messages
 
 	for (const message of messages) {

packages/eval-tools/src/test-models.ts

@@ -1,13 +1,13 @@
 import { createAnthropic } from '@ai-sdk/anthropic'
 import { AnthropicMessagesModelId } from '@ai-sdk/anthropic/internal'
+import { createGoogleGenerativeAI } from '@ai-sdk/google'
+import { GoogleGenerativeAILanguageModel } from '@ai-sdk/google/internal'
 import { createOpenAI } from '@ai-sdk/openai'
 import { OpenAIChatModelId } from '@ai-sdk/openai/internal'
 import { createAiGateway } from 'ai-gateway-provider'
-import { createGoogleGenerativeAI } from '@ai-sdk/google'
 import { env } from 'cloudflare:test'
 import { describe } from 'vitest'
 import { createWorkersAI } from 'workers-ai-provider'
-import { GoogleGenerativeAILanguageModel } from '@ai-sdk/google/internal'
 
 export const factualityModel = getOpenAiModel('gpt-4o')
 
@@ -41,13 +41,13 @@ function getAnthropicModel(modelName: AnthropicMessagesModelId) {
 		accountId: env.CLOUDFLARE_ACCOUNT_ID,
 		gateway: env.AI_GATEWAY_ID,
 		apiKey: env.AI_GATEWAY_TOKEN,
-	});
-	
+	})
+
 	const ai = createAnthropic({
 		apiKey: '',
 	})
 
-	const model = aigateway([ai(modelName)]);
+	const model = aigateway([ai(modelName)])
 
 	return { modelName, model, ai }
 }
@@ -61,9 +61,9 @@ function getGeminiModel(modelName: GoogleGenerativeAILanguageModel['modelId']) {
 		accountId: env.CLOUDFLARE_ACCOUNT_ID,
 		gateway: env.AI_GATEWAY_ID,
 		apiKey: env.AI_GATEWAY_TOKEN,
-	});
+	})
 
-	const ai = createGoogleGenerativeAI({ apiKey: ''})
+	const ai = createGoogleGenerativeAI({ apiKey: '' })
 
 	const model = aigateway([ai(modelName)])
 
@@ -85,7 +85,7 @@ export const eachModel = describe.each([
 	getOpenAiModel('gpt-4o'),
 	getOpenAiModel('gpt-4o-mini'),
 	// getAnthropicModel('claude-3-5-sonnet-20241022'), TODO: The evals pass with anthropic, but our rate limit is so low with AI wholesaling that we can't use it in CI because it's impossible to get a complete run with the current limits
-	getGeminiModel('gemini-2.0-flash')
+	getGeminiModel('gemini-2.0-flash'),
 	// llama 3 is somewhat inconsistent
 	//getWorkersAiModel("@cf/meta/llama-3.3-70b-instruct-fp8-fast")
 	// Currently llama 4 is having issues with tool calling