# Adapter And Repository Internals ## Purpose This document describes implemented adapter/repository boundaries and their current behavior. ## Adapter Map - `internal/adapter/cli`: CLI command parsing, app wiring, stdout/stderr handling, exit codes. - `internal/adapter/http`: HTTP request/response mapping for `POST /v1/runs`. - `internal/promptdef`: filesystem prompt-definition repository. - `internal/profile`: filesystem execution-profile repository. - `internal/artifact`: input artifact reader. - `internal/prompt`: Go-template renderer. - `internal/llm`: OpenAI-compatible LLM client implementation. - `internal/validate`: output validator. - `internal/format`: prepared-run formatters for `render` output. ## Inputs And Outputs CLI adapter: - Input: process args, filesystem config/assets, environment. - Output: exit code, stdout artifact/prepared output, stderr summaries/errors. HTTP adapter: - Input: JSON request body (`runRequestDTO`). - Output: JSON success/error body with mapped status codes. Filesystem repositories: - Input: prompt/profile YAML files. - Output: normalized domain definitions/profiles or typed errors. Artifact reader: - Input: `domain.ArtifactRef`. - Output: loaded `domain.Artifact`. LLM adapter: - Input: `domain.GenerateRequest`. - Output: `domain.GenerateResponse`. Validator: - Input: artifact body + output contract. - Output: validation result or runtime validation error. ## Boundaries - Adapters convert external representations to domain requests and back. - Use-case decisions remain in `internal/usecase`. - External dependency details stay scoped to adapter packages. ## Config Fields Used Primary app settings consumed by adapters: - `prompt_dir` - `profile_dir` - `schema_dir` - `server.addr` - `defaults.render_format` Execution profile/request settings used through runner: - `endpoint`, `model`, `temperature`, `max_tokens`, `top_p`, `timeout_seconds`, `api_key_env`, `reasoning_effort`, `extra_params` ## External Dependencies - YAML decoding: `gopkg.in/yaml.v3` (strict known-fields mode in config/prompt/profile loaders). - JSON Schema validation: `github.com/santhosh-tekuri/jsonschema/v6`. - HTTP client/server: Go standard library. ## Failure Behavior Strict decoding and input checks: - config/prompt/profile loaders reject unknown YAML fields. - HTTP DTO decoder rejects unknown JSON fields. - raw API key payload fields are rejected by strict decoding in profile/http paths. Artifact refs: - Supported reference types: `inline`, `file`. - Unsupported types return `ErrUnsupportedRefType`. LLM adapter: - endpoint appends `/chat/completions`. - non-2xx responses map to request failure errors. - malformed responses (including missing/empty first choice content) are errors. Validator: - `basic`, `json`, `json_schema` content failures return `ValidationFailed` results. - schema load/compile/path failures are runtime errors. HTTP error mapping: - maps domain/use-case errors to stable HTTP code + error code/message. - avoids returning internal wrapped-cause details in response payload. ## CLI Adapter Semantics Implemented commands: - `run` - `render` - `serve` Behavior highlights: - `run` exit `2` indicates validation failed after generation. - `render` does not call the LLM. - `serve` exposes HTTP handler only; no built-in auth. - `render` supports `--format text|json`; `render` does not expose `--schema-dir`. - deprecated aliases `--prompt-id` and `--profile-id` are still accepted. ## Tests To Inspect Before Changing - `internal/adapter/cli/run_test.go` - `internal/adapter/http/handler_test.go` - `internal/promptdef/repository_test.go` - `internal/profile/repository_test.go` - `internal/artifact/reader_test.go` - `internal/prompt/renderer_test.go` - `internal/llm/openai_compatible_client_test.go` - `internal/validate/standard_validator_test.go` - `internal/format/prepared_run_test.go` ## Architectural Invariants - Adapter packages do not own runner decision logic. - External request/response strictness is part of contract stability. - Prepared-render output never includes resolved API key values. - Outbound OpenAI-compatible request includes only currently serialized fields (`model`, `messages`, optional `temperature`, `max_tokens`, `top_p`, optional `response_format`).