Migrate with AI

Migrate this project from OpenAI to General Compute. General Compute is a drop-in replacement — keep using the OpenAI SDK, just point it at General Compute.

1. Change the base URL and API key in the client constructor:
   - Node.js: new OpenAI({ baseURL: "https://api.generalcompute.com/v1", apiKey: process.env.GENERALCOMPUTE_API_KEY })
   - Python: OpenAI(base_url="https://api.generalcompute.com/v1", api_key=os.getenv("GENERALCOMPUTE_API_KEY"))

2. Update model names:
   - gpt-4o, gpt-4, gpt-3.5-turbo → minimax-m2.5 (general purpose) or deepseek-v3.2 (reasoning)
   - See all models: https://docs.generalcompute.com/models

3. Update environment variables:
   - Add GENERALCOMPUTE_API_KEY to all .env files, CI configs, and deployment settings.

Everything else stays the same — imports, client.chat.completions.create(), streaming, tool calling, JSON mode, and all parameters work identically.

Docs: https://docs.generalcompute.com/quickstart

Migrate this project from the Anthropic SDK to the General Compute SDK. General Compute uses an OpenAI-compatible API, so you'll replace the Anthropic SDK with @generalcompute/sdk (Node.js) or generalcompute (Python).

1. Replace the Anthropic SDK with the General Compute SDK:
   - Node.js: npm uninstall @anthropic-ai/sdk && npm install @generalcompute/sdk
   - Python: pip uninstall anthropic && pip install generalcompute

2. Replace the client constructor:
   - Node.js (before): import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic();
   - Node.js (after):  import GeneralCompute from "@generalcompute/sdk"; const client = new GeneralCompute();
   - Python (before):  from anthropic import Anthropic; client = Anthropic()
   - Python (after):   from generalcompute import GeneralCompute; client = GeneralCompute()

3. Replace all API calls — the method names and response shapes are different:
   - client.messages.create() → client.chat.completions.create()
   - message.content[0].text → completion.choices[0].message.content
   - max_tokens is optional on General Compute (not required like Anthropic)
   - system parameter → put system message as first item in messages array with role: "system"
   - Streaming: client.messages.stream() → client.chat.completions.create({ stream: true }), then iterate chunks with chunk.choices[0].delta.content
   - Tool use: Anthropic's tool_use/tool_result blocks → OpenAI-style tools array and tool_calls in responses

4. Update model names:
   - claude-sonnet-4-20250514, claude-opus-4-20250514, claude-haiku-3-5-20241022 → minimax-m2.5 (general purpose) or deepseek-v3.2 (reasoning)
   - See all models: https://docs.generalcompute.com/models

5. Update environment variables:
   - Replace ANTHROPIC_API_KEY with GENERALCOMPUTE_API_KEY in all .env files, CI configs, and deployment settings.

Docs: https://docs.generalcompute.com/quickstart
API reference: https://docs.generalcompute.com/api-reference/introduction

Migrate this project's Vercel AI SDK setup to use General Compute as the inference provider.

1. Install the provider: npm install @ai-sdk/openai-compatible

2. Replace the model provider. Find where you create your AI model (e.g. openai("gpt-4o"), anthropic("claude-sonnet-4-20250514"), etc.) and replace it with:

   import { createOpenAICompatible } from "@ai-sdk/openai-compatible";

   const generalcompute = createOpenAICompatible({
     name: "generalcompute",
     baseURL: "https://api.generalcompute.com/v1",
     headers: {
       Authorization: `Bearer ${process.env.GENERALCOMPUTE_API_KEY}`,
     },
   });

   Then use generalcompute("minimax-m2.5") wherever you previously passed a model.

3. Update model names:
   - Use minimax-m2.5 for general purpose or deepseek-v3.2 for reasoning
   - See all models: https://docs.generalcompute.com/models

4. Update environment variables:
   - Add GENERALCOMPUTE_API_KEY to .env.local and deployment settings
   - Remove any previous provider API keys that are no longer needed

5. Important if using AI SDK v6 (ai@6 or later):
   - The useChat hook comes from @ai-sdk/react (not ai/react) — install it: npm install @ai-sdk/react
   - Use toUIMessageStreamResponse() (not toDataStreamResponse()) in API routes
   - Messages use a parts array — render with: m.parts.filter(p => p.type === "text").map(p => p.text).join("")
   - handleSubmit/handleInputChange/isLoading are removed — use sendMessage(), manage input with useState, check status

Docs: https://docs.generalcompute.com/quickstart#build-a-streaming-chat-with-vercel-ai-sdk

Migrate this project to use General Compute for inference. General Compute is OpenAI-compatible, so any client that works with OpenAI works with General Compute.

1. Change the base URL to: https://api.generalcompute.com/v1

2. Change the API key to use GENERALCOMPUTE_API_KEY instead of whatever provider key is currently set.

3. Update model names:
   - Use minimax-m2.5 for general purpose or deepseek-v3.2 for reasoning
   - See all models: https://docs.generalcompute.com/models

4. Update environment variables in all .env files, CI configs, and deployment settings.

That's it. All endpoints, parameters, streaming, tool calling, and JSON mode work identically.

Docs: https://docs.generalcompute.com/quickstart
API reference: https://docs.generalcompute.com/api-reference/introduction