Agent skill

clade-migration-deep-dive

Migrate from OpenAI/GPT to Anthropic/Claude — API differences, Use when working with migration-deep-dive patterns. prompt adaptation, SDK swap, and feature mapping. Trigger with "migrate to claude", "openai to anthropic", "switch from gpt to claude", "replace openai with anthropic".

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Install this agent skill to your Project

npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/claude-pack/skills/clade-migration-deep-dive

SKILL.md

Migrate from OpenAI to Anthropic

Overview

Migrate from OpenAI/GPT to Anthropic/Claude. Covers the complete API mapping (endpoints, models, response shapes), SDK swap with before/after code, five key differences (max_tokens required, system as top-level param, alternating messages, response path, streaming events), and tool use migration.

API Mapping

OpenAI Anthropic Notes
openai.chat.completions.create() anthropic.messages.create() Different request/response shape
model: 'gpt-4o' model: 'claude-sonnet-4-20250514' Different model IDs
response.choices[0].message.content response.content[0].text Different response path
system in messages array system as separate parameter Claude uses top-level system
response_format: { type: 'json_object' } System prompt: "Respond in JSON only" No native JSON mode
tools / function_calling tools (similar but different schema) Input schema differences
openai.embeddings.create() N/A — use Voyage or Cohere No embeddings API

SDK Swap

Instructions

Step 1: Before (OpenAI)

typescript
import OpenAI from 'openai';
const openai = new OpenAI();

const response = await openai.chat.completions.create({
  model: 'gpt-4o',
  messages: [
    { role: 'system', content: 'You are helpful.' },
    { role: 'user', content: 'Hello' },
  ],
});
console.log(response.choices[0].message.content);

Step 2: After (Anthropic)

typescript
import Anthropic from '@claude-ai/sdk';
const anthropic = new Anthropic();

const response = await anthropic.messages.create({
  model: 'claude-sonnet-4-20250514',
  max_tokens: 1024, // Required (not optional like OpenAI)
  system: 'You are helpful.', // Separate from messages
  messages: [
    { role: 'user', content: 'Hello' },
  ],
});
console.log(response.content[0].text);

Key Differences

  1. max_tokens is required — OpenAI defaults it, Anthropic requires it
  2. system is a top-level param — not a message in the array
  3. First message must be user — can't start with assistant
  4. Messages must alternate — no two user or two assistant messages in a row
  5. Response shapecontent[0].text not choices[0].message.content
  6. Streaming events — different event types and structure

Tool Use Migration

typescript
// OpenAI tool definition
{ type: 'function', function: { name: 'get_weather', parameters: { ... } } }

// Anthropic tool definition
{ name: 'get_weather', input_schema: { ... } }  // Flatter structure

Grep & Replace

bash
# Find all OpenAI imports
grep -rn "from 'openai'" --include="*.ts" .
grep -rn "import OpenAI" --include="*.ts" .

# Find response access patterns to update
grep -rn "choices\[0\]" --include="*.ts" .
grep -rn "message.content" --include="*.ts" .  # May need updating

Output

  • All openai imports replaced with @claude-ai/sdk
  • Response access patterns updated (choices[0].message.contentcontent[0].text)
  • System prompts moved from messages array to top-level system parameter
  • max_tokens added to all API calls (required, not optional)
  • Tool definitions restructured to Anthropic format

Error Handling

Error Cause Solution
API Error Check error type and status code See clade-common-errors

Examples

See API Mapping table, Before/After SDK code, Key Differences list, Tool Use Migration, and Grep & Replace commands above.

Resources

Next Steps

See clade-sdk-patterns for production Anthropic SDK patterns.

Prerequisites

  • Existing OpenAI integration to migrate
  • Access to codebase with search capability
  • Test suite for comparing outputs between providers

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