--- layout: default title: Atlas Cloud Integration --- # Atlas Cloud Integration Guide [Atlas Cloud](https://www.atlascloud.ai/) is an enterprise AI infrastructure platform offering 300+ models across text, image, and video through a unified, OpenAI-compatible API. It is an official Go Micro sponsor and a first-class provider in the `ai` package. ## Quick Start Install or update Go Micro: ```bash go get go-micro.dev/v6@latest ``` Import the Atlas Cloud provider and use it: ```go package main import ( "context" "fmt" "log" "go-micro.dev/v6/ai" _ "go-micro.dev/v6/ai/atlascloud" ) func main() { m := ai.New("atlascloud", ai.WithAPIKey("your-atlas-cloud-key"), ) resp, err := m.Generate(context.Background(), &ai.Request{ Prompt: "What is Go Micro?", SystemPrompt: "You are a helpful assistant.", }) if err != nil { log.Fatal(err) } fmt.Println(resp.Reply) } ``` ## Configuration ### Options | Option | Default | Description | |--------|---------|-------------| | `ai.WithAPIKey(key)` | *required* | Your Atlas Cloud API key | | `ai.WithModel(name)` | `llama-3.3-70b` | Model to use (see [Model Selection](#model-selection)) | | `ai.WithBaseURL(url)` | `https://api.atlascloud.ai` | API base URL | ### Environment Variables The `micro chat` CLI and `micro run` / `micro server` read configuration from environment variables: | Variable | Description | |----------|-------------| | `ATLASCLOUD_API_KEY` | API key (used by `micro chat --provider atlascloud`) | | `MICRO_AI_API_KEY` | Generic API key (used by all providers) | | `MICRO_AI_PROVIDER` | Set to `atlascloud` to select the provider | | `MICRO_AI_MODEL` | Override the default model | | `MICRO_AI_BASE_URL` | Override the base URL | When using `micro chat`, the provider-specific variable takes precedence: ```bash ATLASCLOUD_API_KEY=your-key micro chat --provider atlascloud ``` When using `micro run` or `micro server`, set the generic variables: ```bash export MICRO_AI_API_KEY=your-key export MICRO_AI_BASE_URL=https://api.atlascloud.ai micro run ``` The server auto-detects Atlas Cloud from the base URL. ## Model Selection Atlas Cloud offers 300+ models. Some popular choices for the chat completions API: | Model | Use Case | |-------|----------| | `llama-3.3-70b` | General-purpose (default) | | `deepseek-v4` | Coding and reasoning | | `qwen-3.6` | Multilingual | Check [atlascloud.ai](https://www.atlascloud.ai/) for the full model catalog. New SOTA models are available on day zero of release. ```go m := ai.New("atlascloud", ai.WithAPIKey(key), ai.WithModel("deepseek-v4"), ) ``` ## Image Generation Atlas Cloud supports text-to-image generation through the `ai.ImageModel` interface. This uses the same OpenAI-compatible `/v1/images/generations` endpoint. ```go import ( "context" "fmt" "go-micro.dev/v6/ai" _ "go-micro.dev/v6/ai/atlascloud" ) func main() { ig := ai.NewImage("atlascloud", ai.WithAPIKey("your-key"), ) resp, err := ig.GenerateImage(context.Background(), &ai.ImageRequest{ Prompt: "A Go gopher building microservices, digital art", Size: "1024x1024", }) if err != nil { log.Fatal(err) } // Image returned as URL or base64, depending on the model fmt.Println(resp.Images[0].URL) } ``` ### ImageRequest Options | Field | Default | Description | |-------|---------|-------------| | `Prompt` | *required* | Text description of the image | | `Model` | `gpt-image-1` | Image model to use | | `Size` | provider default | Image dimensions (e.g. `"1024x1024"`) | | `N` | `1` | Number of images to generate | ### Available Image Models Atlas Cloud offers image models including `gpt-image-1`, `flux-2`, `nano-banana-pro`, and more. Check [atlascloud.ai](https://www.atlascloud.ai/) for the full catalog. ```go ig.GenerateImage(ctx, &ai.ImageRequest{ Prompt: "A mountain landscape", Model: "flux-2", Size: "1024x1024", N: 2, }) ``` The `ai.ImageModel` interface is also implemented by the OpenAI provider, so switching between providers is a one-line change. ## Using with Services (Tool Calling) Atlas Cloud supports OpenAI-compatible function calling. Combined with Go Micro's `ai.Tools`, your services become tools that the model can call: ```go package main import ( "context" "fmt" "log" "go-micro.dev/v6" "go-micro.dev/v6/ai" _ "go-micro.dev/v6/ai/atlascloud" ) func main() { service := micro.NewService("my-agent") service.Init() // Discover all services as tools tools := ai.NewTools(service.Registry()) discovered, err := tools.Discover() if err != nil { log.Fatal(err) } // Create a model with tool execution m := ai.New("atlascloud", ai.WithAPIKey("your-key"), ai.WithTools(tools), ) // The model can now call your services resp, err := m.Generate(context.Background(), &ai.Request{ Prompt: "List all users and send each a welcome email", SystemPrompt: "You are a service orchestrator.", Tools: discovered, }) if err != nil { log.Fatal(err) } fmt.Println(resp.Answer) } ``` ### How it works 1. `ai.NewTools(registry)` creates a tool set bound to the service registry 2. `tools.Discover()` walks the registry and returns every endpoint as an `ai.Tool` 3. `ai.WithTools(tools)` wires execution into the model — tool calls are routed via RPC 4. When the model decides to call a tool, it routes to the correct service This works identically across all providers. Swap `"atlascloud"` for `"anthropic"` or `"openai"` and the same services, tools, and handlers work without changes. ## Using with micro chat `micro chat` is an interactive terminal agent. Start your services, then chat: ```bash # Terminal 1: start services micro run # Terminal 2: chat with Atlas Cloud ATLASCLOUD_API_KEY=your-key micro chat --provider atlascloud > what services are running? > get user alice@example.com > create a new order for product-42 ``` For a single prompt (non-interactive): ```bash micro chat --provider atlascloud --prompt "list all services" ``` ## Using with micro run The agent playground at `/agent` uses whatever AI provider is configured. To use Atlas Cloud: ```bash export MICRO_AI_API_KEY=your-atlas-cloud-key export MICRO_AI_BASE_URL=https://api.atlascloud.ai micro run ``` Open `http://localhost:8080/agent` and chat with your services through Atlas Cloud. ## Using with MCP The MCP gateway (`micro mcp serve`) exposes services as tools for external AI agents. Atlas Cloud's models can be used by any MCP-compatible agent that connects to the gateway. The gateway itself doesn't depend on a specific AI provider — it serves tools over MCP, and the agent on the other end chooses which model to use. ## Swapping Providers All Go Micro AI providers implement the same `ai.Model` interface. To switch from Atlas Cloud to another provider, change the import and the provider name: ```go // Atlas Cloud import _ "go-micro.dev/v6/ai/atlascloud" m := ai.New("atlascloud", ai.WithAPIKey(key)) // Anthropic import _ "go-micro.dev/v6/ai/anthropic" m := ai.New("anthropic", ai.WithAPIKey(key)) // OpenAI import _ "go-micro.dev/v6/ai/openai" m := ai.New("openai", ai.WithAPIKey(key)) ``` The rest of your code — tool discovery, handler wiring, request/response handling — stays the same. ## API Compatibility Atlas Cloud exposes an OpenAI-compatible `/v1/chat/completions` endpoint. This means: - **Existing OpenAI SDK code** works by changing the base URL - **Tool calling** uses the same `tools` and `tool_calls` format as OpenAI - **Streaming** follows the OpenAI SSE format (when implemented) If you're already using the `openai` provider, you can point it at Atlas Cloud directly: ```go import _ "go-micro.dev/v6/ai/openai" m := ai.New("openai", ai.WithAPIKey("your-atlas-cloud-key"), ai.WithBaseURL("https://api.atlascloud.ai"), ai.WithModel("llama-3.3-70b"), ) ``` The dedicated `atlascloud` provider simply sets these defaults for you. ## Links - [Atlas Cloud](https://www.atlascloud.ai/) — Sign up and get an API key - [AI Provider Integration Guide](/docs/guides/ai-provider-guide) — How providers are built - [ai.Tools](https://pkg.go.dev/go-micro.dev/v6/ai.Tools) — Service-to-tool discovery - [Blog: Atlas Cloud Sponsors Go Micro](/blog/8) — Announcement post