goai
zendev-sh/goai/CLAUDE.md
Instructions for Claude Code when working on the GoAI codebase. GoAI is a Go SDK for AI applications - one API across 25+ LLM providers. Inspired by Vercel AI SDK, adapted to Go idioms.
CLAUDE.md212 starsChanged 6 months ago
# CLAUDE.md - GoAI
Instructions for Claude Code when working on the GoAI codebase.
## Commands
```bash
go build ./... # Build
go test ./... # Test all packages
go test -cover ./... # Test with coverage
golangci-lint run # Lint
go test ./provider/openai/ # Test single package
```
## Architecture
GoAI is a Go SDK for AI applications - one API across 25+ LLM providers. Inspired by Vercel AI SDK, adapted to Go idioms.
```
goai/
├── generate.go # GenerateText, StreamText
├── object.go # GenerateObject[T], StreamObject[T]
├── embed.go # Embed, EmbedMany
├── image.go # GenerateImage
├── video.go # GenerateVideo
├── options.go # WithPrompt, WithTools, etc.
├── schema.go # SchemaFrom[T] - JSON Schema from Go structs
├── errors.go # APIError, ContextOverflowError
├── retry.go # Exponential backoff (errors.As, not type assertion)
├── caching.go # Prompt cache control (copies msgs, no mutation)
├── types.go # Tool struct
├── messages.go # Message builders
├── hooks.go # Lifecycle hooks (OnRequest, OnResponse, OnToolCallStart, OnToolCall, OnStepFinish, OnFinish, OnPanic, OnBeforeStep, OnBeforeToolExecute, OnAfterToolExecute + Wrap* helpers)
├── partial_json.go # Partial JSON parser for streaming
├── provider/
│ ├── provider.go # LanguageModel, EmbeddingModel, ImageModel, VideoModel interfaces
│ ├── types.go # Message, Part, Usage, StreamChunk
│ ├── token.go # TokenSource, CachedTokenSource (lock-free fetch)
│ ├── openai/ # OpenAI (Chat Completions + Responses API)
│ ├── anthropic/ # Anthropic (Messages API)
│ ├── google/ # Google Gemini (REST)
│ ├── bedrock/ # AWS Bedrock (Converse API + SigV4 + EventStream, RWMutex for fallback; InvokeModel API for embeddings)
│ ├── vertex/ # Vertex AI
│ ├── azure/ # Azure OpenAI
│ ├── cohere/ # Cohere (Chat v2 + Embed)
│ ├── minimax/ # MiniMax (Anthropic-compat, delegates to anthropic/)
│ ├── compat/ # Generic OpenAI-compatible
│ └── <18 more>/ # Mostly OpenAI-compat (some via compat/ or anthropic/ wrappers)
│ # tools.go files: 5 files with provider-defined tools: anthropic/ (12 tools), openai/ (4 tools), google/ (4 tools), xai/ (2 tools), groq/ (1 tool)
├── internal/
│ ├── openaicompat/ # Shared codec for 18 provider implementation files
│ ├── gemini/ # Schema sanitization (Vertex, Google)
│ ├── sse/ # SSE parser
│ └── httpc/ # HTTP helpers + ParseDataURL
├── mcp/ # MCP (Model Context Protocol) client
├── observability/
│ ├── langfuse/ # Langfuse observability integration (separate go.mod)
│ └── otel/ # OpenTelemetry tracing and metrics (separate go.mod)
├── examples/ # 33 runnable examples (each with main.go)
└── bench/ # Performance benchmarks (GoAI vs Vercel AI SDK)
```
## Key Rules
1. **Keep dependencies minimal** - core runtime: direct `golang.org/x/oauth2`, indirect `cloud.google.com/go/compute/metadata` for ADC; `go.uber.org/goleak` is test-only. Optional submodules (`observability/langfuse`, `observability/otel`) use separate `go.mod`.
2. **Vercel AI SDK is the reference** - check Vercel source before modifying provider behavior
3. **90% test coverage** per package - mock HTTP servers, not internals
4. **Interface compliance checks** - provider structs should include compile-time checks (type name may vary, e.g. `*chatCompletionsModel`)
5. **errors.As, not type assertion** - always `errors.As(err, &apiErr)`, never `err.(*APIError)`
6. **No input mutation** - functions must copy slices/maps before modifying (see `applyCaching`)
7. **Lock-free network calls** - never hold a mutex during I/O (see `CachedTokenSource`)
8. **Shared utilities in internal/** - `parseDataURL` lives in `httpc`, not duplicated per provider
## Adding Providers
OpenAI-compatible providers use `internal/openaicompat`. Pattern:
```go
var _ provider.LanguageModel = (*chatModel)(nil)
func Chat(modelID string, opts ...Option) provider.LanguageModel { ... }
func (m *chatModel) DoGenerate(ctx, params) (*provider.GenerateResult, error) { ... }
func (m *chatModel) DoStream(ctx, params) (*provider.StreamResult, error) { ... }
```
Provider options should be idiomatic and consistent where applicable. Common options are `WithAPIKey`, `WithTokenSource`, `WithBaseURL`, `WithHTTPClient`, `WithHeaders`; provider-specific exceptions are acceptable (for example `azure.WithEndpoint`, `ollama` without auth options).
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