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BYOK Providers

Bring Your Own Key (BYOK) mode connects to cloud AI providers using your API keys.

Model names are examples

Model identifiers in this guide, such as <anthropic-model> or <openai-model>, are examples and change as providers release new models. Run superqode providers list to see configured providers, then pick the latest model your provider offers.


Overview

BYOK is the primary mode for production use:

  • Full control: Use your own API keys and quotas
  • Cost management: Pay directly to providers
  • Model selection: Choose specific models for your tasks
  • Privacy: Data goes directly to your chosen provider

Quick Setup

Open the BYOK provider and model picker in the TUI:

:connect byok

Or connect directly:

# 1. Set API key. Alternative: `superqode auth login anthropic` stores the
#    key in ~/.superqode/auth.json (0600) via a masked prompt.
export ANTHROPIC_API_KEY=sk-ant-...

# 2. Verify configuration
superqode providers test anthropic

# 3. Connect
superqode connect byok anthropic <anthropic-model>

Connect by model name alone

In the TUI you can skip the provider: :connect muse-spark-1.1 or :connect gpt-5.6 resolves the hosting provider from the catalog (first-party providers are preferred over gateway mirrors). If a model has several available routes, such as grok-4.5 via the xAI API or the Grok subscription, SuperQode lists the exact commands to choose from.


Supported Providers

The picker combines SuperQode's first-class provider definitions with every provider in the cached models.dev catalog. New long-tail providers therefore appear without a SuperQode release when models.dev publishes an API endpoint, key variable, and model inventory. Run :connect byok and press R to refresh the catalog. First-class entries add tested routing, clearer grouping, and provider-specific setup guidance.

Tier 1 (First-Class Support)

Full optimization and testing:

Anthropic (Claude)

export ANTHROPIC_API_KEY=sk-ant-...
superqode connect byok anthropic <anthropic-balanced-model>
Model Best For
<anthropic-model> Most capable, complex analysis
<anthropic-balanced-model> Balanced performance
<anthropic-fast-model> Fast, cost-effective

Documentation: docs.anthropic.com

OpenAI (GPT)

export OPENAI_API_KEY=sk-...
superqode connect byok openai <openai-model>
Model Best For
<openai-model> Most capable, complex reasoning
<openai-fast-model> Faster, cost-effective

Documentation: platform.openai.com

Google AI (Gemini)

export GOOGLE_API_KEY=AIza...
superqode connect byok google gemini-3.1-pro-preview
Model Best For
gemini-3.1-pro-preview Latest Pro model from models.dev
gemini-flash-latest Latest Flash model from models.dev

Documentation: ai.google.dev

Z.AI (GLM)

export ZAI_API_KEY=...
superqode connect zai glm-5.2

The zai provider uses the first-party general endpoint https://api.z.ai/api/paas/v4. It does not use the restricted GLM Coding Plan endpoint. See the Z.AI provider guide for the TUI connection and the glm52-coding harness.

Meta (Muse Spark)

export META_MODEL_API_KEY=...
superqode connect byok meta muse-spark-1.1
Model Context Best For
muse-spark-1.1 1M Long-context coding and analysis on Meta's first-party API

Meta's model API is OpenAI-compatible at https://api.meta.ai/v1 (override with META_BASE_URL). The model list follows models.dev, so new Meta releases appear automatically. In the TUI, :connect muse-spark-1.1 resolves the provider from the catalog.

Documentation: dev.meta.ai/docs

NVIDIA API Catalog

export NVIDIA_API_KEY=...
superqode connect byok nvidia nvidia/nemotron-3-super-120b-a12b

NVIDIA uses its OpenAI-compatible NIM endpoint at https://integrate.api.nvidia.com/v1. Override it with NVIDIA_BASE_URL when using another compatible NVIDIA deployment. The model picker follows models.dev, so current Nemotron, Qwen, DeepSeek, and GLM routes appear without a manual SuperQode model-list update.

Documentation: NVIDIA API documentation

Poolside

export POOLSIDE_API_KEY=...
superqode connect byok poolside poolside/laguna-m.1

Poolside uses its first-party OpenAI-compatible endpoint at https://inference.poolside.ai/v1. Override it with POOLSIDE_BASE_URL. The hosted API route is separate from SuperQode's local Laguna GGUF support.

Documentation: Poolside platform

Moonshot AI (Kimi K3)

export MOONSHOT_API_KEY=...
superqode connect byok moonshot kimi-k3
Model Context Price (in/out per 1M) Best For
kimi-k3 1,048,576 $3.00 / $15.00 Long-horizon coding, frontend work, and large repositories
kimi-k2.7-code-highspeed 262K $0.95 / $4.00 Faster iterative coding loops

SuperQode routes this provider directly to Moonshot's global OpenAI-compatible API at https://api.moonshot.ai/v1 (override with MOONSHOT_API_BASE). K3 has thinking permanently enabled; the current pay-as-you-go API accepts only reasoning_effort: max. It automatically caches stable prompt prefixes, so keep the same harness and reasoning effort within a session.

Use the maintained Kimi-family harness directly, or create an editable copy:

superqode --harness kimi-coding -p "Review this repository"
superqode harness init kimi-project --template kimi-coding --output harness.yaml

The current stable route selects moonshot/kimi-k3, its 1M context, max reasoning, native parallel tools, and a longer cache-friendly session history. Full open weights are scheduled for July 27, 2026; until compatible serving stacks publish K3 support, this preset targets Moonshot's hosted API. Use kimi-k3-coding only when the project must remain explicitly pinned to K3.

Documentation: Complete Kimi K3 provider and feature guide ยท Official Kimi K3 API guide


Tier 1 (First-Class Support) continued

Deepseek

export DEEPSEEK_API_KEY=sk-...
superqode connect byok deepseek deepseek-v3
Model Best For
deepseek-v3 General use
deepseek-r1 Reasoning

Cost: Very competitive pricing

Mistral

export MISTRAL_API_KEY=...
superqode connect byok mistral mistral-large

xAI (Grok 4.5)

export XAI_API_KEY=...
superqode connect byok xai grok-4.5
Model Context Price (in/out per 1M) Best For
grok-4.5 500K $2.00 / $6.00 Agentic coding, complex reasoning, and research
grok-4.3 1M $1.25 / $2.50 Document-heavy work needing the largest context
grok-build-0.1 256K $1.00 / $2.00 Fast agentic coding loops and iterative edits

Grok 4.5 supports reasoning_effort (low / medium / high, default high) and image + PDF input. Cached input is \(0.50 per million tokens, and prompts above 200K tokens are billed at a higher tier (\)4 / $12). This route uses your xAI API account and is billed separately from a consumer subscription. Grok 4.5 is not yet available in the xAI API console for EU users.

Documentation: xAI Grok 4.5 ยท xAI model catalog


Grok Subscription (Official CLI)

For an eligible local X/SuperGrok account, the Grok subscription profile has two routes on the same grok login:

  • :connect grok runs Grok Build, xAI's own coding agent, over ACP. This is the default subscription route: the vendor's agent owns the loop.
  • :grok api [model] runs SuperQode's own harness on the subscription. It imports the grok login session and talks to the CLI chat proxy, so core/workbench, SuperQode's tools, and memory drive Grok 4.5.
# Install the official xAI CLI if needed (macOS/Linux/WSL)
curl -fsSL https://x.ai/cli/install.sh | bash
# Windows PowerShell: irm https://x.ai/cli/install.ps1 | iex

# Sign in locally
grok login

# Grok Build (xAI's own agent) on your subscription
superqode --connect grok

Inside the TUI:

:connect grok                 # Grok Build, xAI's own agent (ACP), default
:grok api                     # SuperQode's harness on the subscription (opt-in)
:grok api grok-4.5            # ...pinned to a specific model
:grok model                   # ...or pick from a menu of subscription models
:grok models                  # list the signed-in CLI's model catalog

On SSH or another headless machine, authenticate with:

grok login --device-auth

Subscription access requires an eligible SuperGrok or X Premium+ plan; quotas and regional access are determined by xAI. For cloud or automation workloads, use XAI_API_KEY BYOK instead.

How the :grok api harness route works

:grok api (the SuperQode-harness opt-in) does the following:

  1. Import the session token from ~/.grok/auth.json into SuperQode's local auth store (~/.superqode/auth.json, permissions 0600)
  2. Connect the grok-cli provider against https://cli-chat-proxy.grok.com/v1
  3. Send the headers xAI requires: X-XAI-Token-Auth, x-grok-model-override, and x-grok-client-version from your installed CLI (the proxy returns HTTP 426 when the version header is missing)
:grok api off                 # remove the imported token

Enterprise proxies are honored via GROK_CLI_CHAT_PROXY_BASE_URL.

Notes:

  • CLI sessions last about 7 days; when the token expires, run grok login again, then reconnect.
  • Usage counts against your subscription and model eligibility is enforced by xAI per tier. The :grok api route is intended for interactive use. For automation or benchmarking, use XAI_API_KEY BYOK.
  • Most proxy models are streaming-only; SuperQode's chat path streams by default.

Model Hosts

Access multiple models through a single API:

OpenRouter

export OPENROUTER_API_KEY=sk-or-...
superqode connect byok openrouter anthropic/<anthropic-balanced-model>
  • 95+ models from various providers
  • Use format: provider/model-name

Documentation: openrouter.ai

Hugging Face Inference Providers

Hugging Face routes many open models through partner inference providers using one model id plus a provider suffix. SuperQode accepts the same route in the regular BYOK provider/model fields:

export HF_TOKEN=hf_...

# Full provider/model form
superqode connect byok huggingface zai-org/GLM-5.2:fireworks-ai

# Shorthand form, useful in config and command history
superqode connect byok hf.zai-org/GLM-5.2:fireworks-ai

SuperQode normalizes all of these forms to the Hugging Face provider:

Form Resolves To
hf.zai-org/GLM-5.2:fireworks-ai huggingface + zai-org/GLM-5.2:fireworks-ai
hf/zai-org/GLM-5.2:fireworks-ai huggingface + zai-org/GLM-5.2:fireworks-ai
huggingface/zai-org/GLM-5.2:fireworks-ai huggingface + zai-org/GLM-5.2:fireworks-ai

Current GLM-5.2 routes exposed in the default config:

Alias Hugging Face Route
glm52 hf.zai-org/GLM-5.2:fireworks-ai
glm52-hf-fireworks hf.zai-org/GLM-5.2:fireworks-ai
glm52-hf-together hf.zai-org/GLM-5.2:together
glm52-hf-novita hf.zai-org/GLM-5.2:novita
glm52-hf-zai hf.zai-org/GLM-5.2:zai-org
glm52-hf-deepinfra hf.zai-org/GLM-5.2:deepinfra

The :provider suffix is generic, so other Hugging Face Inference Provider routes work the same way when Hugging Face advertises them.

Documentation: huggingface.co/inference

Together AI

export TOGETHER_API_KEY=...
superqode connect byok together meta-llama/Llama-3.3-70B-Instruct

Groq

export GROQ_API_KEY=gsk-...
superqode connect byok groq llama-3.3-70b-versatile
  • Very fast inference
  • Free tier available

Fireworks

export FIREWORKS_API_KEY=...
superqode connect byok fireworks accounts/fireworks/models/llama-v3p3-70b-instruct

Configuration

Environment Variables

Provider Variable Notes
Anthropic ANTHROPIC_API_KEY Required
OpenAI OPENAI_API_KEY Required
Google GOOGLE_API_KEY Required
Deepseek DEEPSEEK_API_KEY Required
OpenRouter OPENROUTER_API_KEY Required
Hugging Face HF_TOKEN or HUGGINGFACE_API_KEY Required for HF Inference Providers
Together TOGETHER_API_KEY Required
Groq GROQ_API_KEY Required
Mistral MISTRAL_API_KEY Required
xAI XAI_API_KEY Required
Moonshot AI MOONSHOT_API_KEY or KIMI_API_KEY Required

Configuration File

providers:
  anthropic:
    api_key_env: ANTHROPIC_API_KEY
    recommended_models:
      - <anthropic-model>
      - <anthropic-balanced-model>
      - <anthropic-fast-model>

  openai:
    api_key_env: OPENAI_API_KEY
    recommended_models:
      - <openai-model>
      - <openai-fast-model>

  deepseek:
    api_key_env: DEEPSEEK_API_KEY
    recommended_models:
      - deepseek-v3
      - deepseek-r1

  huggingface:
    api_key_env: HF_TOKEN
    recommended_models:
      - zai-org/GLM-5.2:fireworks-ai
      - zai-org/GLM-5.2:together
      - zai-org/GLM-5.2:novita
      - zai-org/GLM-5.2:zai-org
      - zai-org/GLM-5.2:deepinfra

model_aliases:
  glm52: hf.zai-org/GLM-5.2:fireworks-ai
  glm52-hf-together: hf.zai-org/GLM-5.2:together
  glm52-hf-novita: hf.zai-org/GLM-5.2:novita

Cost Management

Tracking Costs

superqode:
  cost_tracking:
    enabled: true
    show_after_task: true

After each task, the output includes:

Cost Summary:
  Provider: anthropic
  Model: <anthropic-balanced-model>
  Input tokens: 15,234
  Output tokens: 2,456
  Estimated cost: $0.12

Cost-Effective Strategies

  1. Use appropriate models: Haiku/mini for simple tasks
  2. Use quick mode: Shorter sessions, less tokens
  3. Local fallback: Use local models for high-volume tasks

Security Best Practices

API Key Management

# Do not commit API keys
echo "ANTHROPIC_API_KEY=sk-ant-..." >> .env
echo ".env" >> .gitignore

Rotate Keys Regularly

Use Project Keys

Where available, use project-specific API keys with limited scope.


Troubleshooting

"Not Configured" Error

[INCORRECT] Provider 'anthropic' is not configured

Solution: Set the API key environment variable.

"Invalid API Key"

[INCORRECT] Connection failed: Invalid API key

Solution: Verify your API key is correct and has appropriate permissions.

Rate Limiting

[INCORRECT] Rate limit exceeded

Solutions: - Wait and retry - Use a different provider temporarily - Upgrade your API tier

Model Not Found

[INCORRECT] Model 'claude-5' not found

Solution: Check available models:

superqode providers show anthropic

Provider Comparison

Provider Speed Cost Models Best For
Anthropic Fast Medium 4 Security, reasoning
OpenAI Fast Medium 4 General, reasoning
Google Fast Low 2 General, vision
Deepseek Medium Low 2 Cost-effective
Groq Very Fast Low 3 Speed-critical

Next Steps