Model Providers
Table of contents
docker-agent supports multiple AI model providers. Choose the right one for your use case, or use multiple providers in the same configuration.
Supported Providers
- OpenAI — GPT-5, GPT-5-mini, GPT-4o. The most widely used AI models.
- Anthropic — Claude Sonnet 4.5, Claude Opus 4.7. Excellent for coding and analysis.
- Google Gemini — Gemini 2.5 Flash, Gemini 3 Pro. Fast and cost-effective.
- AWS Bedrock — access Claude, Nova, Llama, and more through AWS infrastructure.
- Docker Model Runner — run models locally with Docker. No API keys, no costs.
- Provider Definitions — define reusable provider configurations with shared defaults for any provider type.
Quick Comparison
| Provider | Key | Local? | Strengths |
|---|---|---|---|
| OpenAI | openai | No | Broad model selection, tool calling, multimodal |
| Anthropic | anthropic | No | Strong coding, extended thinking, large context |
google | No | Fast inference, competitive pricing, multimodal | |
| AWS Bedrock | amazon-bedrock | No | Enterprise features, multiple models, AWS integration |
| Docker Model Runner | dmr | Yes | No API costs, data privacy, offline capable |
Additional Built-in Providers
docker-agent also includes built-in aliases for these providers:
| Provider | Alias | API Key / Env Variable |
|---|---|---|
| OpenCode Zen | opencode-zen | OPENCODE_API_KEY |
| OpenCode Go | opencode-go | OPENCODE_API_KEY |
| Mistral | mistral | MISTRAL_API_KEY |
| xAI (Grok) | xai | XAI_API_KEY |
| Nebius | nebius | NEBIUS_API_KEY |
| MiniMax | minimax | MINIMAX_API_KEY |
| Baseten | baseten | BASETEN_API_KEY |
| OVHcloud | ovhcloud | OVH_AI_ENDPOINTS_ACCESS_TOKEN |
| Groq | groq | GROQ_API_KEY |
| Fireworks AI | fireworks | FIREWORKS_API_KEY |
| DeepSeek | deepseek | DEEPSEEK_API_KEY |
| Cerebras | cerebras | CEREBRAS_API_KEY |
| Together AI | together | TOGETHER_API_KEY |
| Hugging Face | huggingface | HF_TOKEN |
| Cloudflare Workers AI | cloudflare-workers-ai | CLOUDFLARE_API_TOKEN + CLOUDFLARE_ACCOUNT_ID |
| Moonshot AI | moonshot | MOONSHOT_API_KEY |
| Vercel AI Gateway | vercel | AI_GATEWAY_API_KEY |
| Cloudflare AI Gateway | cloudflare-ai-gateway | CLOUDFLARE_API_TOKEN + CLOUDFLARE_ACCOUNT_ID + CLOUDFLARE_GATEWAY_ID |
| Requesty | requesty | REQUESTY_API_KEY |
| OpenRouter | openrouter | OPENROUTER_API_KEY |
| Azure OpenAI | azure | AZURE_API_KEY + base_url |
| Ollama | ollama | None (local; optional base_url) |
| GitHub Copilot | github-copilot | GITHUB_TOKEN (PAT with copilot scope) |
# Use built-in providers inline
agents:
root:
model: mistral/mistral-large-latestTipMulti-provider teams
Use expensive models for complex reasoning and cheaper/local models for routine tasks. See the example below.
Using Multiple Providers
Different agents can use different providers in the same configuration:
models:
claude:
provider: anthropic
model: claude-sonnet-4-5
max_tokens: 64000
gpt:
provider: openai
model: gpt-5
local:
provider: dmr
model: ai/qwen3
agents:
root:
model: claude # coordinator uses Claude
sub_agents: [coder, helper]
coder:
model: gpt # coder uses GPT-5
helper:
model: local # helper runs locally for free