Integrations

Use QuickSilver Pro from your favorite tool

Anything that speaks the OpenAI Chat Completions API works with QSP. GPT-6.1 Sol also supports the Responses API used by Codex.

The two values you always need

Every tool below just wants these two strings — the rest of the config is the tool's own UI:

shell

Base URL  →  https://api.quicksilverpro.io/v1
API key   →  sk-...   (from your dashboard)

Don't see your tool below? Anything OpenAI-compatible works.

Codex (Responses API)

GPT-6.1 Sol is available through the Responses API used by Codex. Add a QSP provider to ~/.codex/config.toml:

toml

model = "gpt-6.1-sol"
model_provider = "quicksilverpro"
preferred_auth_method = "apikey"
forced_login_method = "api"
model_reasoning_effort = "high"

[model_providers.quicksilverpro]
name = "QuickSilver Pro"
base_url = "https://api.quicksilverpro.io/v1"
wire_api = "responses"
experimental_bearer_token = "<your QSP API key>"

Codex sends requests to /v1/responses; the same QSP key and model ID also work through Chat Completions.

Aider (terminal pair-programmer)

Aider speaks OpenAI natively. Point it at QSP with two env vars and a model flag — that's it.

shell

export OPENAI_API_BASE="https://api.quicksilverpro.io/v1"
export OPENAI_API_KEY="$QSP_KEY"

aider --model openai/deepseek-v4.1-flash

The openai/ prefix tells Aider to route through the OpenAI client; everything after it is the QSP model ID (see the list).

Cline / Roo Code (VS Code agent)

Open the Cline (or Roo Code) sidebar → settings cog → API Provider:

text

API Provider:  OpenAI Compatible
Base URL:      https://api.quicksilverpro.io/v1
API Key:       <your QSP key>
Model ID:      deepseek-v4.1-flash   (or any QSP model)

Reasoning-by-default models (GPT-6.1 Sol, GPT-6 Luna, Claude Opus 5.5, Claude Sonnet 5.5, Gemini 3.8 Flash) work as Cline's "Thinking" provider out of the box.

Continue.dev (VS Code / JetBrains)

Add QSP as a model in ~/.continue/config.json:

json

{
  "models": [
    {
      "title": "DeepSeek V4 Pro (QSP)",
      "provider": "openai",
      "model": "deepseek-v4.1-flash",
      "apiBase": "https://api.quicksilverpro.io/v1",
      "apiKey": "$QSP_KEY"
    }
  ]
}

Open WebUI

In Open WebUI: Admin Panel → Connections → OpenAI API, add a new connection:

text

URL:  https://api.quicksilverpro.io/v1
Key:  <your QSP key>

Save and reload — all 71 QSP models will appear in the model picker.

LobeChat

Settings → Language Model → enable OpenAI provider, then override:

text

API Proxy URL:  https://api.quicksilverpro.io/v1
API Key:        <your QSP key>
Model List:     gpt-6.1-sol,gpt-6-luna,claude-opus-5-5,claude-sonnet-5-5,claude-haiku-5-5,gemini-3.8-flash,mistral-large-4,deepseek-v4.1-flash,qwen3.8-max,kimi-k3,glm-5.3,grok-4.7,deepseek-v4-flash,deepseek-v4-pro,qwen3.8-max-prime,qwen3.8-omni-flash,qwen3.7-max,qwen3.7-plus,qwen3.7-flash,qwen3.6-plus,qwen3.6-35b,qwen3.8-27b,qwen3.8-flash-next,kimi-k2.6,kimi-k2.7-code,muse-spark-1.3,muse-spark-1.2,muse-glimmer-30b,glm-5.3-prime,glm-5.3-flash,glm-5.2,nemotron-3-ultra,nemotron-3.5-lightning,gpt-oss-120b,gpt-6-astra,gpt-6-sol,gpt-5.6-luna,gpt-5.6-terra,gpt-5.6-sol,grok-4.5,grok-4.6,minimax-m3,mimo-v2.6-pro,mimo-v2.6-flash,mimo-v2.5,hy4-preview,hy3,claude-opus-5,claude-fable-5-1,claude-fable-5,claude-opus-4-8,claude-sonnet-5,claude-haiku-4-5,gemini-3.7-flash,gemini-3.6-flash,gemini-3.5-flash-lite,gemini-3.5-flash,gemini-3.1-pro-preview,gemini-3-pro-image,gemini-3-flash-preview,gemini-3.1-flash-lite,
                gemini-3.1-pro-preview,gemini-3.8-flash,
                gemini-3.5-flash-lite,gemini-3-pro-image

Anything-LLM

Workspace → LLM Preference → Generic OpenAI:

text

Base URL:  https://api.quicksilverpro.io/v1
API Key:   <your QSP key>
Model:     deepseek-v4.1-flash   (or any QSP model)

Cursor (custom OpenAI endpoint)

Cursor Settings → Models → enable Override OpenAI Base URL:

text

Override OpenAI Base URL:  https://api.quicksilverpro.io/v1
OpenAI API Key:            <your QSP key>

Add the QSP model ID under Add custom model — Cursor will route through your override base URL for any custom model.

LangChain / LlamaIndex / Vercel AI SDK

Pass QSP's base URL into the OpenAI provider for any of these frameworks. Example (LangChain Python):

python

import os
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="deepseek-v4.1-flash",
    base_url="https://api.quicksilverpro.io/v1",
    api_key=os.environ["QSP_KEY"],
)

Anything else

QSP is OpenAI-compatible — Chat Completions, streaming, tool calling and usage accounting across the catalog, plus the Responses API for DeepSeek V4.1 Flash. Structured output is model-dependent: the Claude models do not support json_schema, so a schema there is advisory and the enforced path is a tool with strict: true — see structured output. If your tool talks to api.openai.com/v1, changing base_url to https://api.quicksilverpro.io/v1 is almost always all you need.

Hit a snag? hello@quicksilverpro.io — we'll either help you wire it or fix the gateway.