58 lines
3.1 KiB
Go
58 lines
3.1 KiB
Go
// Package promptkit provides an embeddable engine for preparing and executing
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// prompt-defined LLM workflows.
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//
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// Applications construct an [Engine] with [NewEngine], select filesystem or
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// in-memory sources and optional engine-scoped [Backend] registrations, and
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// call [Engine.Prepare] or [Engine.Run]. Concrete registries, repositories,
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// validators, and the built-in OpenAI-compatible client remain internal
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// implementation details.
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//
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// # Concurrency and ownership
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//
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// An Engine supports concurrent Prepare and Run calls. Engine-local backend
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// policies bound admitted Run calls and model generations where configured,
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// while different backend pools and unlimited backends continue independently.
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// An injected [LLMClient] or [ArtifactReader] can therefore still receive
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// concurrent calls and must be safe for that use.
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//
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// NewEngine copies in-memory profiles and backend definitions. Prepare and Run
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// copy request maps, slices, pointer values, and JSON-compatible extra
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// parameters before using them. Returned values and values passed to extension
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// interfaces are likewise isolated from engine state. Callers own those copies
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// and may mutate them after the call that supplied or returned them.
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//
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// # Security and sensitive data
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//
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// The default artifact reader treats [File] paths as caller-selected operating
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// system paths. It does not restrict them to an application root or impose an
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// inbound request-size policy. Promptkit is not an inbound request or
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// untrusted-input security boundary. Applications must validate and restrict
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// untrusted input before constructing a request, or install an [ArtifactReader]
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// that enforces their filesystem, authorization, and size policies.
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//
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// Rendered messages, input and output [Artifact] bodies, [RunResult.RawOutput],
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// and [ValidationResult.Errors] may contain sensitive data. Credential
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// exclusion and redaction do not sanitize those values. Applications and
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// injected collaborators are responsible for access control, retention,
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// logging, and secret handling appropriate to their data.
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//
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// # JSON
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//
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// Stable JSON representations are provided for [PreparedRun], [RunResult],
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// [Artifact], [ExecutionTarget], [OutputContract], [ValidationResult],
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// [TokenUsage], [RenderedPrompt], [RenderedMessage], [CacheControl],
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// [StructuredOutputSpec], [StructuredOutputJSONSpec], [GenerateRequest],
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// [GenerateResponse], [ExecutionTargetPresence], and the string value types
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// used by those values.
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//
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// Construction values, including [Config], [Backend], [RunRequest],
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// [ArtifactRef], [ExecutionTargetOverride], [Profile], and
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// [OpenAICompatibleProfileConfig], do not have stable JSON representations.
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// Direct API keys are nevertheless excluded from JSON for every public value.
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//
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// JSON timestamps use time.Time's RFC 3339 encoding and are omitted when zero.
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// PreparedRun and RunResult durations are encoded as integer milliseconds in
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// duration_ms and omitted when zero. Run IDs and all exposed hashes are opaque:
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// their spelling, length, character set, and algorithm are not API contracts.
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package promptkit
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