Integrations

Use CORe anywhere

The CORe API is OpenAI-compatible. That means any tool that lets you point at a custom OpenAI-style endpoint already works with CORe; Cursor, Continue, Aider, Zed, Open Interpreter, MSTY, and more. Here's the config for each.

TL;DR - paste this into any OpenAI-compatible tool

Base URL
https://opencore.one/v1
API Key
ck-... (create one at /api-dashboard)
Model
core-6.2 · or core-6.1, core-4, core-warp, core-turbo

Cursor

Cursor is an AI-first VS Code fork. Point it at CORe via Settings → Models → Override OpenAI Base URL.

  1. Open Cursor Settings (Cmd/Ctrl + ,).
  2. Go to Models.
  3. Toggle on Override OpenAI Base URL.
  4. Set the base URL to https://opencore.one/v1.
  5. Set the OpenAI API Key to your ck-... key.
  6. In the model list, add a custom model: core-6.2.
  7. Switch the active model to core-6.2 and chat away.
Note: Cursor uses its own paid tier for advanced features like agentic edits. Pointing at CORe replaces the base chat model only; Cursor-specific features may not work the same.

Continue (VS Code / JetBrains)

Continue is an open-source coding assistant for VS Code and JetBrains. Add CORe by editing ~/.continue/config.json.

~/.continue/config.json
{
  "models": [
    {
      "title": "CORe 6.2",
      "provider": "openai",
      "model": "core-6.2",
      "apiBase": "https://opencore.one/v1",
      "apiKey": "ck-your-key-here",
      "contextLength": 262144
    }
  ],
  "tabAutocompleteModel": {
    "title": "CORe Warp (autocomplete)",
    "provider": "openai",
    "model": "core-warp",
    "apiBase": "https://opencore.one/v1",
    "apiKey": "ck-your-key-here"
  }
}

Save the file. Continue picks up changes automatically. Use core-warp for tab autocomplete (low latency) and core-6.2 for the chat sidebar (full reasoning).

Aider

Aider is a CLI pair-programmer that edits files directly in your repo. Use the --openai-api-base and --openai-api-key flags.

shell
export OPENAI_API_BASE="https://opencore.one/v1"
export OPENAI_API_KEY="ck-your-key-here"

aider --model openai/core-6.2 src/

The openai/ prefix tells Aider to use the OpenAI provider; the model name after the slash is the CORe friendly id. Add --no-stream if you'd rather see whole responses at once instead of streaming.

Zed

Zed's AI assistant supports any OpenAI-compatible endpoint via its settings file.

~/.config/zed/settings.json
{
  "language_models": {
    "openai": {
      "version": "1",
      "api_url": "https://opencore.one/v1",
      "available_models": [
        { "name": "core-6.2", "max_tokens": 262144 },
        { "name": "core-6.1", "max_tokens": 262144 },
        { "name": "core-warp", "max_tokens": 262144 }
      ]
    }
  },
  "assistant": {
    "default_model": { "provider": "openai", "model": "core-6.2" },
    "version": "2"
  }
}

Set the API key via Zed's Settings → AI → OpenAI API Key, or through the command palette: assistant: configure.

Open Interpreter

Open Interpreter runs code locally based on natural-language instructions. Configure with environment variables or CLI flags.

shell
export OPENAI_API_KEY="ck-your-key-here"
export OPENAI_API_BASE="https://opencore.one/v1"

interpreter --model openai/core-6.2

For agentic workflows where you want fast iteration, swap to core-warp. For longer reasoning with thinking mode, keep core-6.2.

MSTY

MSTY is a local-first AI chat app. Add CORe under Settings → Remote Model Providers → Add Provider.

  1. Open MSTY Settings.
  2. Go to Remote Model Providers.
  3. Click Add Provider and choose OpenAI Compatible.
  4. Endpoint: https://opencore.one/v1
  5. API Key: ck-...
  6. Pull / refresh model list. CORe 6.2, 6.1, 4, Warp, and Turbo should appear.

cURL / Python / Node

Direct HTTP usage. The CORe API matches the OpenAI Chat Completions spec exactly, so any official OpenAI SDK works with two lines changed.

cURL
curl https://opencore.one/v1/chat/completions \
  -H "Authorization: Bearer ck-your-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "core-6.2",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
Python (openai SDK)
from openai import OpenAI

client = OpenAI(
    base_url="https://opencore.one/v1",
    api_key="ck-your-key-here",
)

resp = client.chat.completions.create(
    model="core-6.2",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)
Node.js (openai SDK)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://opencore.one/v1",
  apiKey: "ck-your-key-here",
});

const resp = await client.chat.completions.create({
  model: "core-6.2",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(resp.choices[0].message.content);

Full request/response reference, tool calling, streaming, and multimodal usage are documented in the API docs.

OpenCode

OpenCode is a terminal agentic coding tool with many providers. To add us:

  1. Go to the path for config (~/.config/opencode, or on Windows C:\Users\{username}\.config\opencode).
  2. Create (or edit) opencode.json.
  3. Paste (or append) the following:
  4. ~/.config/opencode
    {
      "$schema": "https://opencode.ai/config.json",
      "provider": {
        "opencore": {
          "npm": "@ai-sdk/openai-compatible",
          "name": "OpenCORe",
          "options": {
            "baseURL": "https://opencore.one/v1"
          },
          "models": {
            "xenon-9": {
              "name": "Xenon 9",
              "reasoning": true,
              "variants": {
                "low": { "reasoningEffort": "low" },
                "high": { "reasoningEffort": "high" },
                "max": { "reasoningEffort": "max" }
              }
            },
            "xenon-9s": {
              "name": "Xenon 9s",
              "reasoning": true,
              "variants": {
                "low": { "reasoningEffort": "low" },
                "high": { "reasoningEffort": "high" },
                "max": { "reasoningEffort": "max" }
              }
            },
            "xenon-9-code": {
              "name": "Xenon 9 Code",
              "reasoning": true,
              "variants": {
                "low": { "reasoningEffort": "low" },
                "high": { "reasoningEffort": "high" },
                "max": { "reasoningEffort": "max" }
              }
            },
            "xenon-8": {
              "name": "Xenon 8"
            },
            "xenon-8-code": {
              "name": "Xenon 8 Code"
            },
            "xenon-8s": {
              "name": "Xenon 8s"
            },
            "core-7-ultra": {
              "name": "CORe 7 Ultra"
            },
            "core-7-lite": {
              "name": "CORe 7 Lite"
            },
            "core-7-code": {
              "name": "CORe 7 Code"
            },
            "safertitan": {
              "name": "SaferTitan"
            },
            "agintek": {
              "name": "Agintek"
            }
          }
        }
      }
    }
    
  5. Reopen OpenCode. Use one credential source: a configured options.apiKey overrides the key saved by /connect, even when an environment variable resolves to empty. To use /connect, remove provider.opencore.options.apiKey and explicit Authorization overrides from all active global, project, and OPENCODE_CONFIG configurations. Alternatively, keep "apiKey": "{env:OPENCORE_API_KEY}" and ensure that variable contains the raw key in the process launching OpenCode.
  6. Type /connect
  7. In the providers, search or select OpenCORe, or choose Other and enter exactly opencore as the provider ID. Paste the full raw ck-... key, without quotes or Bearer. The shortened key shown after creation is not usable.
  8. Switch the active model by using /models if you didn't already switch. Select an opencore/... model.
  9. For Xenon 9, Xenon 9s, or Xenon 9 Code, use OpenCode's variant selector (default shortcut: Ctrl+T) to cycle reasoning levels. Restart OpenCode after changing its configuration.

Xenon 9 reasoning levels: low, high, and max. These are native, provider-managed effort levels, not fixed token counts. OpenCode exposes them as native variants. For apps that discover models through /v1/models, the API also lists suffixed IDs such as xenon-9-high, xenon-9s-low, and xenon-9-code-max.

Other API clients can send reasoning_effort or reasoning_budget with one of those levels. A supplied budget overrides the effort, which overrides the model suffix; base model IDs without controls leave provider defaults unchanged. The current Xenon 9 backend does not support numeric reasoning-token caps: numeric reasoning_budget or thinking_budget requests return a clear error rather than silently ignoring the cap. Reasoning levels do not change max_tokens or disable request timeouts.

Any other OpenAI-compatible tool

Most modern AI tools accept three settings: base URL, API key, and model name. If your tool has those three fields, CORe works.

  • Base URL: https://opencore.one/v1
  • API key field: usually labeled "OpenAI API Key" or "API token"; use your ck-...
  • Model name: core-6.2 (or whichever model fits your use case)

If a tool requires a specific scheme like openai/<model> or provider/model, prefix with openai/; e.g. openai/core-6.2.

Got an integration working for a tool not listed here? Send the config to [email protected] and we'll add it to this page.