Document public library usage
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docs/consumers/api.md
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docs/consumers/api.md
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# Consumer API Overview
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Scriptorium can be used by consumers through three implemented surfaces:
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- CLI commands, documented in [CLI reference](../cli.md).
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- HTTP `POST /v1/runs`, documented in [HTTP API integration](../integrations/http-api.md).
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- Go package `gitea.maximumdirect.net/eric/scriptorium`, documented in [pkg-scriptorium](pkg-scriptorium.md).
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The Go package is the typed in-process API. It prepares prompts, runs prompts, accepts file or inline artifacts, supports per-request execution overrides, and exposes stable public errors for `errors.Is`.
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Use the Go package when the caller is a Go program that wants typed requests/results, context cancellation, repeated calls without subprocess overhead, or fake LLM injection for tests. Use the CLI or HTTP surfaces when process isolation, language neutrality, or an HTTP boundary is preferred.
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Raw API key values are not accepted in public payloads and are not returned in prepared or run results. Execution profiles may reference an environment variable name through `api_key_env`.
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docs/consumers/pkg-scriptorium.md
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docs/consumers/pkg-scriptorium.md
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# Package scriptorium
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Import path:
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```go
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import "gitea.maximumdirect.net/eric/scriptorium"
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```
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The root package is a public facade over Scriptorium's prompt execution use case. It keeps `internal/*` packages private while exposing typed construction, preparation, execution, inputs, results, and errors.
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## Construct An Engine
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```go
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engine, err := scriptorium.NewEngine(scriptorium.Config{
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PromptDir: "./examples/prompts",
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ProfileDir: "./examples/profiles",
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SchemaDir: "./examples/schemas",
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})
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if err != nil {
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return err
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}
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```
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`PromptDir` and `ProfileDir` are required. `SchemaDir` defaults to the built-in schema directory. `Timeout` and `HTTPClient` configure the default OpenAI-compatible client used by `Run` when no custom LLM client is supplied.
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## Prepare A Prompt
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`Prepare` resolves the prompt definition, profile, inputs, variables, output contract, structured-output metadata, and rendered messages without calling an LLM.
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```go
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prepared, err := engine.Prepare(ctx, scriptorium.RunRequest{
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PromptID: "generic.markdown_summary",
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Inputs: map[string]scriptorium.ArtifactRef{
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"transcript": scriptorium.File("./examples/fixtures/transcript.md"),
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"glossary": scriptorium.File("./examples/fixtures/glossary.yml"),
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},
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})
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if err != nil {
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return err
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}
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_ = prepared.Messages
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```
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Input helpers:
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- `scriptorium.File(path)` loads an input artifact from a file.
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- `scriptorium.Inline(body)` passes inline input content.
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- `scriptorium.InlineWithURI(uri, body)` passes inline content with URI metadata.
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## Run A Prompt
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`Run` prepares the prompt, calls the configured LLM client, builds the output artifact, and validates the output.
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```go
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result, err := engine.Run(ctx, scriptorium.RunRequest{
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PromptID: "generic.markdown_summary",
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Inputs: map[string]scriptorium.ArtifactRef{
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"transcript": scriptorium.File("./examples/fixtures/transcript.md"),
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"glossary": scriptorium.File("./examples/fixtures/glossary.yml"),
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},
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})
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if err != nil {
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return err
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}
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_ = result.Artifact
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```
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`RunResult` includes the run ID, output artifact, raw output, validation result, prompt/profile/model metadata, effective model parameters, input hashes, token/cache usage, and timing fields. Validation content failures return a successful `RunResult` with failed validation status. Runtime validation errors return `ErrValidation`.
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## Inject An LLM Client
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Use `WithLLMClient` for tests or custom model integrations:
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```go
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type fakeLLM struct{}
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func (fakeLLM) Generate(ctx context.Context, req scriptorium.GenerateRequest) (*scriptorium.GenerateResponse, error) {
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return &scriptorium.GenerateResponse{
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Content: "generated text",
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Usage: scriptorium.TokenUsage{TotalTokens: 12},
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}, nil
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}
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engine, err := scriptorium.NewEngine(cfg, scriptorium.WithLLMClient(fakeLLM{}))
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```
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The injected client receives the rendered prompt, effective execution target, target presence metadata for explicit numeric overrides, and structured-output spec. `WithLLMClient(nil)` returns `ErrInvalidConfig`.
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## Request Overrides
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`RunRequest.Execution` accepts per-request overrides. Numeric override fields are pointers so explicit zero values are preserved:
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```go
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zero := 0
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req.Execution = &scriptorium.ExecutionTargetOverride{
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MaxTokens: &zero,
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}
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```
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## Errors
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Public methods wrap context while preserving stable sentinel checks with `errors.Is`:
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- `ErrInvalidConfig`
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- `ErrInvalidRequest`
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- `ErrPromptNotFound`
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- `ErrProfileNotFound`
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- `ErrPromptLoad`
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- `ErrProfileLoad`
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- `ErrArtifactLoad`
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- `ErrPromptRender`
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- `ErrLLMGenerate`
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- `ErrValidation`
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Example:
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```go
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if errors.Is(err, scriptorium.ErrPromptNotFound) {
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return err
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}
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```
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## Examples
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Run the prepare-only example from the repository root:
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```bash
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go run ./examples/go-library/prepare
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```
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@@ -8,6 +8,7 @@ This document describes implemented adapter/repository boundaries and their curr
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- `internal/adapter/cli`: CLI command parsing, app wiring, stdout/stderr handling, exit codes.
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- `internal/adapter/http`: HTTP request/response mapping for `POST /v1/runs`.
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- root package `scriptorium`: public Go library facade for preparing and running prompt requests.
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- `internal/promptdef`: filesystem prompt-definition repository.
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- `internal/profile`: filesystem execution-profile repository.
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- `internal/artifact`: input artifact reader.
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@@ -30,6 +31,13 @@ HTTP adapter:
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- Output: JSON success/error body with mapped status codes.
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- Success metadata includes token usage plus cache usage counters.
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Public library facade:
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- Input: typed `scriptorium.RunRequest` values.
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- Output: typed `PreparedRun` and `RunResult` values plus public sentinel errors.
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- Custom LLM behavior is injected with `WithLLMClient`; otherwise the default OpenAI-compatible client is used.
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- Public types are facade types converted at the package boundary; internal domain types remain internal.
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Filesystem repositories:
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- Input: prompt/profile YAML files under configured directories.
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