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Stop Using 5 Different AI SDKs in Your TypeScript Project

#webdev #programming #ai #typescript

Stop Using 5 Different AI SDKs in Your TypeScript Project

You're creating tech debt for no reason. Here's how to fix it.

Let me guess: your package.json looks something like this right now:

{
  "dependencies": {
    "openai": "^4.0.0",
    "@anthropic-ai/sdk": "^0.24.0",
    "@google/generative-ai": "^0.21.0",
    "@aws-sdk/client-bedrock-runtime": "^3.0.0",
    "@azure/openai": "^2.0.0"
  }
}
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Five different SDKs. Five different import styles. Five different response formats. Five different ways to handle streaming. Five different error handling patterns.

And for what? To talk to LLMs that fundamentally do the same thing: take text in, return text out.

You're not being pragmatic. You're being a pack rat, collecting SDKs like they're going out of style. Let's talk about why this is costing you more than you think.

The Real Cost of SDK Fragmentation

Bundle Size Bloating

Each SDK adds weight. OpenAI's SDK alone is ~200KB. Anthropic's is another ~150KB. By the time you've imported all five, you've added nearly a megabyte to your bundle just for HTTP wrappers around JSON APIs.

// Your current bundle impact:
// openai: ~200KB
// @anthropic-ai/sdk: ~150KB
// @google/generative-ai: ~180KB
// @aws-sdk/client-bedrock-runtime: ~300KB
// @azure/openai: ~250KB
// Total: ~1.08MB of SDK overhead
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That's before you write a single line of application code.

The Mental Model Tax

Every SDK has its own quirks:

SDK Streaming Pattern Error Shape Auth Method
OpenAI for await...of error.message apiKey param
Anthropic stream.on() error.error.message anthropicApiKey header
Google AI async generator error.message genAI.getGenerativeModel()
Bedrock response.body SDK-specific AWS credentials
Azure stream.iterator() Nested error azureApiKey + endpoint

You need to remember which is which. Your team needs documentation for each. Code reviews become a game of "did you handle the Anthropic error format correctly this time?"

Inconsistent Error Handling

Here's what error handling looks like across different SDKs:

// OpenAI
try {
  const response = await openai.chat.completions.create({...});
} catch (error) {
  // error is an APIError with nested props
  console.log(error.message);
  console.log(error.code); // rate_limit_exceeded, etc.
}

// Anthropic
try {
  const response = await anthropic.messages.create({...});
} catch (error) {
  // error is an AnthropicError
  // need error.error for details
  console.log(error.error?.message);
  console.log(error.error?.type); // rate_limit_error, etc.
}

// Google AI
try {
  const result = await model.generateContentStream(...);
} catch (error) {
  // Google wraps errors differently
  console.log(error.message);
  // No standardized error codes
}
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You end up writing adapter layers anyway. So why not use one that's already built?

Testing Multiplies

Every SDK needs its own test setup. Mocking OpenAI responses? Different from mocking Anthropic. Testing streaming? Five different patterns to validate. Integration tests? You need real credentials for each provider.

Your CI pipeline thanks you for the complexity.

The Provider Switching Myth

"But I need to support multiple providers for redundancy!"

Sure. But you don't need five SDKs for that. You need one SDK that understands how to route between providers. The abstraction should happen at the integration layer, not in your application code.

Here's what "provider redundancy" looks like with multiple SDKs:

// The nightmare you wrote
async function generateWithFallback(prompt: string) {
  try {
    return await callOpenAI(prompt);
  } catch (e) {
    console.log("OpenAI failed, trying Anthropic...");
    try {
      return await callAnthropic(prompt);
    } catch (e) {
      console.log("Anthropic failed, trying Google...");
      return await callGoogle(prompt);
    }
  }
}
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Nested try-catch hell. Hardcoded fallback order. No cost optimization. No intelligent routing. Just desperation-driven retry logic.

The Unified Alternative

What if you could do this instead?

import { NeuroLink } from "@juspay/neurolink";

const neurolink = new NeuroLink();

// Works with any provider - same API
const result = await neurolink.generate({
  input: { text: "Explain quantum computing" },
  provider: "openai", // or "anthropic", "vertex", "bedrock", "azure"...
});

console.log(result.content);
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That's it. Same code. Same error handling. Same streaming pattern. Just change one parameter to switch providers.

Streaming: One Pattern, Every Provider

Remember the streaming chaos? Here's what unified streaming looks like:

import { NeuroLink } from "@juspay/neurolink";

const neurolink = new NeuroLink();

// Same streaming pattern for ALL 13 providers
const result = await neurolink.stream({
  input: { text: "Write a story" },
  provider: "anthropic", // or any other provider
});

for await (const chunk of result.stream) {
  if ("content" in chunk) {
    process.stdout.write(chunk.content);
  }
}
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No more memorizing stream.on('data') vs for await...of vs response.body.pipe(). One pattern. Every provider.

Automatic Provider Fallback (That Actually Works) 

const neurolink = new NeuroLink({
  enableOrchestration: true, // Smart routing + failover
});

// NeuroLink automatically:
// 1. Selects the optimal provider
// 2. Falls back if one fails
// 3. Optimizes for cost when appropriate
const result = await neurolink.generate({
  input: { text: "Analyze this data" },
  // No provider specified - intelligent auto-selection
});
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No nested try-catch. No manual failover logic. No hardcoded provider preferences. Just intelligent routing that works.

The Bundle Size Reality Check

NeuroLink: ~150KB total for 13+ providers.

Your current setup: ~1MB+ for 5 providers.

And with NeuroLink, adding provider #6, #7, #13 costs you zero additional bundle size. The provider routing happens server-side or through a unified client. You're not importing SDK bloat for providers you might use once a month.

Error Handling That Makes Sense 

import { NeuroLink } from "@juspay/neurolink";

const neurolink = new NeuroLink();

try {
  const result = await neurolink.generate({
    input: { text: "Hello" },
    provider: "openai",
  });
} catch (error) {
  // Same error structure regardless of provider
  console.log(error.message);
  console.log(error.provider); // Which provider failed
  console.log(error.code); // Standardized error codes
  console.log(error.retryable); // Can we retry?
}
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One error format. Standardized codes. Provider-agnostic handling. Your error monitoring tools will thank you.

Tools Without the Configuration Tax

Adding tools to OpenAI vs Anthropic? Different parameter structures. Different function calling formats. Different response parsing.

With NeuroLink:

import { NeuroLink } from "@juspay/neurolink";

const neurolink = new NeuroLink({
  tools: [
    {
      name: "getWeather",
      description: "Get weather for a location",
      parameters: {
        type: "object",
        properties: {
          location: { type: "string" },
        },
      },
      execute: async ({ location }) => {
        return await fetchWeather(location);
      },
    },
  ],
});

// Works identically across all providers
const result = await neurolink.generate({
  input: { text: "What's the weather in Tokyo?" },
  provider: "vertex", // or "anthropic", "bedrock", etc.
});
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One tool definition. Universal compatibility. No provider-specific format conversions.

MCP: The Tool Ecosystem You Didn't Know You Needed

NeuroLink ships with 6 built-in tools and supports 58+ external MCP servers:

// GitHub MCP server - works across all providers
await neurolink.addExternalMCPServer("github", {
  command: "npx",
  args: ["-y", "@modelcontextprotocol/server-github"],
  transport: "stdio",
  env: { GITHUB_TOKEN: process.env.GITHUB_TOKEN },
});

// Now AI can create issues, list repos, create PRs
const result = await neurolink.generate({
  input: { text: 'Create a GitHub issue for this bug' },
  provider: "anthropic", // MCP works with any provider
});
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Your tools aren't tied to a provider. They're infrastructure.

What You're Actually Defending

When you say "I need separate SDKs for flexibility," what you're actually saying is:

  • "I enjoy writing adapter code"
  • "I like debugging why Anthropic's error format broke my handler again"
  • "Bundle size doesn't matter" (it does)
  • "My team enjoys context-switching between 5 documentation sites"
  • "I prefer writing 5 different test mocks"

You're not preserving flexibility. You're preserving complexity for its own sake.

The Migration Path

"But I already have code using these SDKs!"

Fine. Keep it. But ask yourself: every new feature you build, every new AI integration you add—do you want to keep multiplying your SDK dependencies? Or do you want to consolidate?

// Legacy code - keep it working
import OpenAI from "openai";
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

// New code - use NeuroLink
import { NeuroLink } from "@juspay/neurolink";
const neurolink = new NeuroLink();

// Gradually migrate. No big-bang rewrite required.
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Start new features with NeuroLink. Migrate legacy code when you touch it. In 6 months, you'll wonder why you ever managed five SDKs.

The Hard Truth

The AI landscape is consolidating. Providers are becoming commodities. The value isn't in which LLM you use—it's in how you use them.

Your job isn't to be an expert in OpenAI's SDK quirks or Anthropic's response format. Your job is to build products that solve problems. Every hour spent debugging SDK differences is an hour not spent on your actual product.

Stop collecting SDKs like Pokémon cards. Start building with a unified platform.

Try It In 30 Seconds 

# Install once, get 13+ providers
npm install @juspay/neurolink

# Run the setup wizard (configures your API keys)
npx @juspay/neurolink setup

# Generate with any provider
npx @juspay/neurolink generate "Hello world" --provider openai
npx @juspay/neurolink generate "Hello world" --provider anthropic
npx @juspay/neurolink generate "Hello world" --provider vertex
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Same command. Same interface. Different providers. Zero cognitive overhead.

NeuroLink — The Universal AI SDK for TypeScript

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