🐛 FIX: Imports (#109)

* Revert "🚀 RELEASE: New version"

This reverts commit be83b33.

* Revert "📦 NEW: Tracing support (#108)"

This reverts commit c803ebc.

* Revert "🚀 RELEASE: new version"

This reverts commit 691d31c.

* 🐛 FIX: version

Author: ahmadbilaldev

examples/nodejs/workflows/workflows.ts

@@ -1,85 +1,40 @@
-// Test script for the simplified proxy approach
+// Experimental upcoming beta AI primitve.
+// Please refer to the documentation for more information: https://langbase.com/docs for more information.
+
 import 'dotenv/config';
-import {Langbase} from 'langbase';
+import {Langbase, Workflow} from 'langbase';
 
-// Create Langbase instance
 const langbase = new Langbase({
 	apiKey: process.env.LANGBASE_API_KEY!,
 });
 
 async function main() {
-	// Create a workflow with debug mode enabled
-	const workflow = langbase.workflow({
-		name: 'simplified-proxy-test',
-		debug: true, // Enable debug logging
+	const {step} = new Workflow({debug: true});
+
+	const result = await step({
+		id: 'sumamrize',
+		run: async () => {
+			return langbase.llm.run({
+				model: 'openai:gpt-4o-mini',
+				apiKey: process.env.OPENAI_API_KEY!,
+				messages: [
+					{
+						role: 'system',
+						content:
+							'You are an expert summarizer. Summarize the user input.',
+					},
+					{
+						role: 'user',
+						content:
+							'I am testing workflows. I just created an example of summarize workflow. Can you summarize this?',
+					},
+				],
+				stream: false,
+			});
+		},
 	});
 
-	try {
-		// STEP 1: Call langbase.agent.run but don't return its result directly
-		const step1Result = await workflow.step({
-			id: 'call-but-return-custom',
-			run: async () => {
-				// Return custom result instead
-				return {
-					customField: 'Custom result from simplified proxy',
-					timestamp: new Date().toISOString(),
-				};
-			},
-		});
-
-		// STEP 2: Return agent.run result directly
-		const step2Result = await workflow.step({
-			id: 'return-agent-run-directly',
-			run: async () => {
-				// Call Langbase API and return the result directly
-				return langbase.agent.run({
-					model: 'openai:gpt-4o-mini',
-					apiKey: process.env.OPENAI_API_KEY!,
-					instructions: 'Be brief and concise.',
-					input: 'What is 2+2?',
-					stream: false,
-				});
-			},
-		});
-
-		// STEP 3: Make multiple Langbase calls in one step
-		const step3Result = await workflow.step({
-			id: 'multiple-calls',
-			run: async () => {
-				// First call
-				const call1 = await langbase.agent.run({
-					model: 'openai:gpt-4o-mini',
-					apiKey: process.env.OPENAI_API_KEY!,
-					instructions: 'Be brief.',
-					input: 'First proxy test',
-					stream: false,
-				});
-
-				// Second call with different method
-				const call2 = await langbase.agent.run({
-					model: 'openai:gpt-4o-mini',
-					apiKey: process.env.OPENAI_API_KEY!,
-					instructions: 'Be brief.',
-					input: 'Second proxy test',
-					stream: false,
-				});
-
-				// Return combined result
-				return {
-					summary: 'Multiple calls completed with simplified proxy',
-					calls: 2,
-					firstOutput: call1.output,
-					secondOutput: call2.output,
-				};
-			},
-		});
-	} catch (error) {
-		console.error('❌ Workflow error:', error);
-	} finally {
-		// End the workflow to show trace report
-		workflow.end();
-	}
+	console.log(result['completion']);
 }
 
-// Run the test
-main().catch(console.error);
+main();

packages/langbase/src/common/request.ts

@@ -62,17 +62,6 @@ export class Request {
 		const isLllmGenerationEndpoint =
 			GENERATION_ENDPOINTS.includes(endpoint);
 
-		// All endpoints should return headers if rawResponse is true
-		if (!isLllmGenerationEndpoint && options.body?.rawResponse) {
-			const responseData = await response.json();
-			return {
-				...responseData,
-				rawResponse: {
-					headers: Object.fromEntries(response.headers.entries()),
-				},
-			} as T;
-		}
-
 		if (isLllmGenerationEndpoint) {
 			const threadId = response.headers.get('lb-thread-id');
 

packages/langbase/src/langbase/langbase.ts

@@ -1,6 +1,5 @@
 import {convertDocToFormData} from '@/lib/utils/doc-to-formdata';
 import {Request} from '../common/request';
-import {Workflow} from './workflows';
 
 export type Role = 'user' | 'assistant' | 'system' | 'tool';
 
@@ -640,12 +639,6 @@ export class Langbase {
 		};
 	};
 
-	public workflow: (config: {debug?: boolean; name: string}) => Workflow;
-
-	public traces: {
-		create: (trace: any) => Promise<any>;
-	};
-
 	constructor(options?: LangbaseOptions) {
 		this.baseUrl = options?.baseUrl ?? 'https://api.langbase.com';
 		this.apiKey = options?.apiKey ?? '';
@@ -730,12 +723,6 @@ export class Langbase {
 		this.agent = {
 			run: this.runAgent.bind(this),
 		};
-
-		this.workflow = config => new Workflow({...config, langbase: this});
-
-		this.traces = {
-			create: this.createTrace.bind(this),
-		};
 	}
 
 	private async runPipe(
@@ -1159,17 +1146,4 @@ export class Langbase {
 			},
 		});
 	}
-
-	/**
-	 * Creates a new trace on Langbase.
-	 *
-	 * @param {any} trace - The trace data to send.
-	 * @returns {Promise<any>} A promise that resolves to the response of the trace creation.
-	 */
-	private async createTrace(trace: any): Promise<any> {
-		return this.request.post({
-			endpoint: '/v1/traces',
-			body: trace,
-		});
-	}
 }