Skip to content

Python API

Den stabile offentlige Python-API-en eksporteres fra co_op_translator.api. De fleste integrasjoner bruker ett av disse arbeidsflytene:

Scenario Bruk dette når Hoved-API-er
Translate individual files or documents Your application reads source content, calls Co-op Translator for translation, and decides where to save the result. translate_markdown_content, translate_notebook_content, translate_image_content, rewrite_markdown_paths, rewrite_notebook_paths
Prepare content for host-agent translation Your MCP host or application model will translate chunks, while Co-op Translator handles chunking and reconstruction. start_markdown_agent_translation, finish_markdown_agent_translation, start_notebook_agent_translation, finish_notebook_agent_translation
Translate an entire repository You want the Python API to behave like the CLI and handle discovery, output paths, metadata, cleanup, and writes. run_translation

De fleste lavnivåmodulene under core, config, review, og utils er implementasjonsdetaljer som brukes av disse API-inngangspunktene.

MCP-klienter bruker samme offentlige API gjennom MCP Server. Bruk denne siden når du kaller Python direkte, og MCP-guiden når du eksponerer Co-op Translator til en agent eller editor. Hvis du skal velge mellom CLI, Python API og MCP, start med Choose Your Workflow.

First-Time API Flow

Start her hvis du kaller Co-op Translator fra Python-kode:

  1. Configure an LLM provider as described in Configuration, unless you are only preparing Markdown or notebook chunks for host-agent translation.
  2. Decide whether your application owns file I/O.
  3. Use content APIs when your application reads and writes individual files.
  4. Use run_translation when Co-op Translator should process a repository like the CLI.
  5. Use run_review after translation if you need deterministic checks in automation.
Goal API to start with
Translate one Markdown string or file translate_markdown_content
Translate one notebook payload translate_notebook_content
Translate one image translate_image_content
Let a host agent translate Markdown or notebook chunks start_markdown_agent_translation or start_notebook_agent_translation
Rewrite translated links after choosing an output path rewrite_markdown_paths or rewrite_notebook_paths
Translate a full repository run_translation
Review translated output run_review

Scenario 1: Translate Individual Files or Documents

Use this workflow when you already have a file, editor buffer, notebook payload, MCP request, or custom pipeline input. Your code owns file I/O:

  1. Read the source content.
  2. Call a content translation API.
  3. Optionally call a path rewriting API if the translated content will be written into a project translation folder.
  4. Save or return the result from your application.

The content translation APIs do not run project discovery, do not write metadata, do not append disclaimers, and do not rewrite links automatically.

Markdown File

import asyncio
from pathlib import Path

from co_op_translator.api import (
    rewrite_markdown_paths,
    translate_markdown_content,
)


async def main() -> None:
    source_path = Path("docs/guide.md")
    target_path = Path("translations/ko/docs/guide.md")

    translated = await translate_markdown_content(
        source_path.read_text(encoding="utf-8"),
        "ko",
        {"source_path": source_path},
    )

    rewritten = rewrite_markdown_paths(
        translated,
        source_path=source_path,
        target_path=target_path,
        policy={
            "language_code": "ko",
            "root_dir": ".",
            "translations_dir": "translations",
            "translated_images_dir": "translated_images",
            "translation_types": ["markdown", "images"],
        },
    )

    target_path.parent.mkdir(parents=True, exist_ok=True)
    target_path.write_text(rewritten, encoding="utf-8")


asyncio.run(main())

If the translated Markdown will not live in a Co-op Translator project layout, skip rewrite_markdown_paths and save the translated string directly.

Notebook File

import asyncio
from pathlib import Path

from co_op_translator.api import (
    rewrite_notebook_paths,
    translate_notebook_content,
)


async def main() -> None:
    source_path = Path("docs/tutorial.ipynb")
    target_path = Path("translations/ja/docs/tutorial.ipynb")

    translated_json = await translate_notebook_content(
        source_path.read_text(encoding="utf-8"),
        "ja",
        {"source_path": source_path},
    )

    rewritten_json = rewrite_notebook_paths(
        translated_json,
        source_path=source_path,
        target_path=target_path,
        policy={
            "language_code": "ja",
            "root_dir": ".",
            "translations_dir": "translations",
            "translated_images_dir": "translated_images",
            "translation_types": ["notebook", "images"],
        },
    )

    target_path.parent.mkdir(parents=True, exist_ok=True)
    target_path.write_text(rewritten_json, encoding="utf-8")


asyncio.run(main())

translate_notebook_content translates Markdown cells and preserves non-Markdown cells. Path rewriting is applied only to Markdown cells.

Image File

from pathlib import Path

from co_op_translator.api import translate_image_content

source_path = Path("docs/images/hero.png")
target_path = Path("translated_images/fr/hero.png")

translated_image = translate_image_content(
    source_path,
    "fr",
    {
        "root_dir": ".",
        "fast_mode": False,
    },
)

target_path.parent.mkdir(parents=True, exist_ok=True)
translated_image.save(target_path)

translate_image_content reads the source image and returns a rendered PIL.Image.Image. It does not write translated image metadata.

Scenario 2: Translate an Entire Repository

Use this workflow when you want the Python API to behave like the translate CLI. run_translation discovers supported files, translates selected content types, rewrites paths, writes output files, updates metadata, and performs translation maintenance tasks such as cleanup.

run_translation is the preferred project orchestration entry point. translate_project is exported as a compatibility alias with the same behavior.

Translate Markdown files in the current repository into Korean and Japanese:

from co_op_translator.api import run_translation

run_translation(
    language_codes="ko ja",
    markdown=True,
)

Translate only notebooks from a specific project root:

from co_op_translator.api import run_translation

run_translation(
    language_codes="fr",
    root_dir="./my-course",
    notebook=True,
)

Preview translation volume without writing files:

from co_op_translator.api import run_translation

run_translation(
    language_codes="es de",
    root_dir="./my-course",
    markdown=True,
    dry_run=True,
)

Translate multiple content roots in one call:

from co_op_translator.api import run_translation

run_translation(
    language_codes="ko",
    markdown=True,
    root_dirs=["./docs", "./labs"],
)

Write translations into explicit output groups:

from co_op_translator.api import run_translation

run_translation(
    language_codes="ja",
    markdown=True,
    groups=[
        ("./course-a", "./localized/course-a"),
        ("./course-b", "./localized/course-b"),
    ],
)

Use a per-language placeholder when each language should contain a nested subdirectory:

from co_op_translator.api import run_translation

run_translation(
    language_codes="ko",
    markdown=True,
    groups=[
        ("./course", "./translations/<lang>/course"),
    ],
)

If none of markdown, notebook, or images are set, the API translates all supported types: Markdown, notebooks, and images.

Review Translated Output

run_review runs deterministic translation checks without LLM or Vision credentials.

Beta

run_review is a beta deterministic review API. It does not call model providers or write files, but checks and issue schemas may evolve.

from co_op_translator.api import run_review

run_review(
    language_codes="ko ja",
    root_dir="./my-course",
    markdown=True,
    notebook=True,
)

Review only files changed against a base ref and print GitHub-flavored output:

from co_op_translator.api import run_review

run_review(
    language_codes="ko",
    root_dir="./my-course",
    markdown=True,
    notebook=True,
    changed_from="origin/main",
    output_format="github",
)

Copy-Paste API Examples

Translate Markdown content without file writes:

import asyncio

from co_op_translator.api import translate_markdown_content


async def main() -> None:
    translated = await translate_markdown_content(
        "# Hello\n\nWelcome to the course.",
        "ko",
    )
    print(translated)


asyncio.run(main())

Translate and rewrite Markdown links:

import asyncio

from co_op_translator.api import rewrite_markdown_paths, translate_markdown_content


async def main() -> None:
    translated = await translate_markdown_content(
        "[Setup](../setup.md)\n\n![Hero](../../images/hero.png)",
        "ko",
        {"source_path": "docs/guide.md"},
    )
    rewritten = rewrite_markdown_paths(
        translated,
        source_path="docs/guide.md",
        target_path="translations/ko/docs/guide.md",
        policy={
            "language_code": "ko",
            "root_dir": ".",
            "translations_dir": "translations",
            "translated_images_dir": "translated_images",
            "translation_types": ["markdown", "images"],
        },
    )
    print(rewritten)


asyncio.run(main())

Translate a repository from Python:

from co_op_translator.api import run_translation

run_translation(
    language_codes="ko ja",
    root_dir="./course",
    markdown=True,
    yes=True,
)

Translate multiple roots:

from co_op_translator.api import run_translation

run_translation(
    language_codes="ko",
    markdown=True,
    root_dirs=[
        "./docs",
        "./labs",
    ],
)

Preserve glossary terms:

from co_op_translator.api import run_translation

run_translation(
    language_codes="fr",
    markdown=True,
    glossaries=[
        "Co-op Translator",
        "Azure AI Foundry",
        "GitHub Actions",
    ],
)

Public Entry Points

from co_op_translator.api import (
    ImageTranslationOptions,
    MarkdownTranslationOptions,
    NotebookTranslationOptions,
    finish_markdown_agent_translation,
    finish_notebook_agent_translation,
    run_review,
    run_translation,
    rewrite_markdown_paths,
    rewrite_notebook_paths,
    start_markdown_agent_translation,
    start_notebook_agent_translation,
    translate_image_content,
    translate_markdown_content,
    translate_notebook_content,
    translate_project,
)

co_op_translator.api.translate_markdown_content async

translate_markdown_content(document: str, language_code: str, options: MarkdownTranslationOptions | Mapping[str, object] | None = None) -> str

Translate markdown content without project path rewriting or file I/O.

co_op_translator.api.translate_notebook_content async

translate_notebook_content(notebook: str | dict[str, object], language_code: str, options: NotebookTranslationOptions | Mapping[str, object] | None = None) -> str

Translate notebook markdown cells without project path rewriting or file I/O.

co_op_translator.api.translate_image_content

translate_image_content(image_path: str | Path, language_code: str, options: ImageTranslationOptions | Mapping[str, object] | None = None) -> Image.Image

Translate image text and return a rendered image without saving metadata.

co_op_translator.api.start_markdown_agent_translation

start_markdown_agent_translation(document: str, language_code: str, source_path: str | Path | None = None) -> dict[str, object]

Prepare provider-free Markdown chunks for host-agent translation.

co_op_translator.api.finish_markdown_agent_translation

finish_markdown_agent_translation(job: Mapping[str, object], translated_chunks: Mapping[str, object] | list[Mapping[str, object]]) -> dict[str, object]

Reconstruct Markdown from chunks translated by a host agent.

co_op_translator.api.start_notebook_agent_translation

start_notebook_agent_translation(notebook: str | Mapping[str, object], language_code: str, source_path: str | Path | None = None) -> dict[str, object]

Prepare provider-free notebook Markdown chunks for host-agent translation.

co_op_translator.api.finish_notebook_agent_translation

finish_notebook_agent_translation(job: Mapping[str, object], translated_chunks: Mapping[str, object] | list[Mapping[str, object]]) -> dict[str, object]

Reconstruct a notebook from Markdown chunks translated by a host agent.

co_op_translator.api.rewrite_markdown_paths

rewrite_markdown_paths(content: str, source_path: str | Path, target_path: str | Path, policy: MarkdownPathRewritePolicy | Mapping[str, object]) -> str

Rewrite markdown/frontmatter paths for a translated project target.

co_op_translator.api.rewrite_notebook_paths

rewrite_notebook_paths(content: str, source_path: str | Path, target_path: str | Path, policy: MarkdownPathRewritePolicy | Mapping[str, object]) -> str

Rewrite markdown-cell paths for a translated project notebook target.

co_op_translator.api.MarkdownTranslationOptions dataclass

Options for content-only markdown translation.

co_op_translator.api.NotebookTranslationOptions dataclass

Options for content-only notebook translation.

co_op_translator.api.ImageTranslationOptions dataclass

Options for content-only image translation.

co_op_translator.api.run_translation

run_translation(language_codes: str, root_dir: str = '.', update: bool = False, images: bool = False, markdown: bool = False, notebook: bool = False, debug: bool = False, save_logs: bool = False, yes: bool = True, add_disclaimer: bool = False, translations_dir: str | None = None, image_dir: str | None = None, root_dirs: Iterable[str] | None = None, groups: Iterable[tuple[str, str | None]] | None = None, repo_url: str | None = None, glossaries: Iterable[str] | None = None, readme_only: bool = False, dry_run: bool = False, progress_callback: TranslationEventCallback | None = None, json_events_path: str | Path | None = None) -> None

Programmatic translation entrypoint mirroring the translate CLI options.

progress_callback receives versioned TranslationEvent objects for integration code. json_events_path writes the same events as NDJSON.

co_op_translator.api.translate_project

translate_project(*args, **kwargs) -> None

Programmatic project translation entrypoint.

co_op_translator.api.run_review

run_review(language_codes: str | Iterable[str] = 'all', root_dir: str = '.', update: bool = False, images: bool = False, markdown: bool = False, notebook: bool = False, debug: bool = False, save_logs: bool = False, yes: bool = True, add_disclaimer: bool = False, translations_dir: str | None = None, image_dir: str | None = None, root_dirs: Iterable[str] | None = None, groups: Iterable[tuple[str, str | None]] | None = None, repo_url: str | None = None, glossaries: Iterable[str] | None = None, dry_run: bool = False, changed_from: str | None = None, output_format: str = 'text', fail_on_warnings: bool = False) -> ReviewSummary

Programmatic deterministic review entrypoint.

The signature intentionally mirrors run_translation where possible so automation can switch between translate and review workflows with minimal branching. Review ignores mutating translation-only options such as update, yes, add_disclaimer, repo_url, glossaries, and dry_run.

Content Translation APIs

Content translation APIs are intended for integrations that already have content in memory, such as an editor extension, MCP tool, notebook processor, or custom pipeline.

Function Input Output File I/O Notes
translate_markdown_content Markdown str Markdown str No Async. Translates Markdown content only. It does not rewrite links, write metadata, or append disclaimers.
translate_notebook_content Notebook JSON str or dict Notebook JSON str No Async. Translates Markdown cells and preserves non-Markdown cells. It does not rewrite links, write metadata, or append disclaimers.
translate_image_content Image path PIL.Image.Image Reads source image only Synchronous. Extracts and translates image text, then returns a rendered image. It does not save translated image metadata.

translate_markdown_content and translate_notebook_content accept an optional source_path through their options. The path is passed as context to the translator; callers remain responsible for any project-specific path rewriting after translation.

from co_op_translator.api import MarkdownTranslationOptions, translate_markdown_content

translated = await translate_markdown_content(
    document,
    "ko",
    MarkdownTranslationOptions(source_path="docs/guide.md"),
)

The same options can be passed as dictionaries:

translated = await translate_markdown_content(
    document,
    "ko",
    {"source_path": "docs/guide.md"},
)

Agent-Assisted Translation APIs

Agent-assisted APIs do not call Azure OpenAI or OpenAI from Co-op Translator. They prepare Markdown or notebook chunks for a host agent to translate, then reconstruct the final content from translated chunks.

Function Purpose
start_markdown_agent_translation Return a self-contained Markdown job with chunks, prompts, and reconstruction state.
finish_markdown_agent_translation Reconstruct Markdown from a job and host-agent translated chunks.
start_notebook_agent_translation Return a notebook job with Markdown-cell chunks for host-agent translation.
finish_notebook_agent_translation Reconstruct notebook JSON while preserving code cells, outputs, and metadata.

This workflow is mainly intended for MCP hosts. If you need production repository translation with Co-op Translator managing provider calls, use translate_markdown_content, translate_notebook_content, or run_translation.

Path Rewriting APIs

Path rewriting APIs perform no translation. They update links and frontmatter paths after callers know the source path, translated target path, and project layout.

Function Scope Notes
rewrite_markdown_paths Markdown body and frontmatter Rewrites Markdown links and supported frontmatter path fields for a translated target.
rewrite_notebook_paths Markdown cells in notebook JSON Applies Markdown path rewriting to each Markdown cell and leaves non-Markdown cells unchanged.

The policy argument may be a dictionary with these fields:

Field Required Purpose
language_code Yes Target language code, such as "ko" or "pt-BR".
root_dir No Source project root. Defaults to ".".
translations_dir No Text translation output directory. Defaults to translations under root_dir.
translated_images_dir No Translated image output directory. Defaults to translated_images under root_dir.
translation_types No Enabled translation types. Defaults to Markdown, notebooks, and images.
lang_subdir No Optional subdirectory under each language folder.

Project Translation Parameters

Parameter Type Default Purpose
language_codes str Required Space-separated target language codes, such as "ko ja fr", or "all". Alias codes are normalized to canonical BCP 47 values.
root_dir str "." Project root for a single translation target. Ignored when root_dirs or groups are supplied.
update bool False Delete and recreate existing translations for the selected languages.
images bool False Include image translation. Requires Azure AI Vision configuration.
markdown bool False Include Markdown translation.
notebook bool False Include Jupyter notebook translation.
debug bool False Enable debug logging.
save_logs bool False Save DEBUG-level log files under the root logs/ directory.
yes bool True Auto-confirm prompts for programmatic and CI usage.
add_disclaimer bool False Add machine translation disclaimers to translated Markdown and notebooks.
translations_dir str \| None None Custom text translation output directory. Relative paths resolve against each root.
image_dir str \| None None Custom translated image output directory. Relative paths resolve against each root.
root_dirs Iterable[str] \| None None Multiple roots that share the same output settings.
groups Iterable[tuple[str, str \| None]] \| None None Explicit (root_dir, translations_dir) pairs. Takes precedence over root_dirs.
repo_url str \| None None Repository URL used when rendering README language table guidance.
glossaries Iterable[str] \| None None Glossary terms to preserve during translation. Duplicates and blank terms are normalized.
dry_run bool False Estimate translation volume and preview migration behavior without writing files.

Review Parameters

run_review intentionally mirrors the run_translation signature where possible so automation can switch between translation and review workflows with minimal branching.

Parameter Type Default Purpose
language_codes str \| Iterable[str] "all" Target language folders to review. Space-separated strings and iterables are accepted. "all" reviews every discovered translation language.
root_dir str "." Project root for a single review target. Ignored when root_dirs or groups are supplied.
markdown bool False Include Markdown and MDX source files.
notebook bool False Include Jupyter notebook source files.
images bool False Reserved for parity with translation options. Link references to images are checked from Markdown.
translations_dir str \| None None Egendefinert utdata-katalog for tekstoversettelser. Relative stier løses i forhold til hver rot.
root_dirs Iterable[str] \| None None Flere rotkataloger som deler de samme utdatainnstillingene.
groups Iterable[tuple[str, str \| None]] \| None None Eksplisitte (root_dir, translations_dir)-par. Har forrang foran root_dirs.
changed_from str \| None None Git-ref som brukes for å begrense gjennomgangen til endrede kildefiler.
output_format str "text" Utdataformat for gjennomgang. Støttede verdier er "text" og "github".
fail_on_warnings bool False Behandle advarsler som feil i tillegg til eksisterende feil.
debug bool False Aktiver debug-loggføring.
save_logs bool False Lagre loggfiler på DEBUG-nivå under rotmappen logs/.

If none of markdown, notebook, or images are set, the API reviews Markdown, notebooks, and image link references where applicable. Review does not call an LLM provider and does not require API keys.

Konfigurasjonskrav

  • Oversettelses-APIer som bruker leverandører krever leverandørkonfigurasjon før oversettelse:
  • Markdown- og notebook-oversettelse krever en LLM-leverandør. Konfigurer enten Azure OpenAI eller OpenAI.
  • Bildoversettelse krever Azure AI Vision i tillegg til LLM-leverandøren.
  • run_translation kjører lette tilkoblingssjekker før prosjektoversettelsen starter.
  • Agent-assisterte start_*_agent_translation- og finish_*_agent_translation-APIer kaller ikke Co-op Translator LLM-leverandører. Vertsapplikasjonen eller MCP-agenten oversetter de forberedte delene.
  • rewrite_markdown_paths, rewrite_notebook_paths, and run_review er deterministiske og krever ikke leverandørlegitimasjon.

Påkrevde Azure OpenAI-variabler:

AZURE_OPENAI_API_KEY="..."
AZURE_OPENAI_ENDPOINT="https://<resource>.openai.azure.com/"
AZURE_OPENAI_MODEL_NAME="gpt-4o"
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="<deployment>"
AZURE_OPENAI_API_VERSION="2024-12-01-preview"

Påkrevde OpenAI-variabler:

OPENAI_API_KEY="..."
OPENAI_CHAT_MODEL_ID="gpt-4o"

Påkrevde Azure AI Vision-variabler for bildoversettelse:

AZURE_AI_SERVICE_API_KEY="..."
AZURE_AI_SERVICE_ENDPOINT="https://<resource>.cognitiveservices.azure.com/"

run_review er deterministisk og krever ikke Azure OpenAI-, OpenAI- eller Azure AI Vision-konfigurasjon.

Merknader om oppførsel

  • Innholdsoversettelses-APIene holder oversettelse adskilt fra prosjekt-sti-omskriving. Kall rewrite_markdown_paths eller rewrite_notebook_paths eksplisitt når oversatt innhold trenger justerte prosjektrelative lenker for et målsted.
  • Prosjekt-orkestrerings-APIene legger til prosjektatferd rundt innholdsoversettelse, inkludert filoppdagelse, skrivinger, sti-omskriving, metadata, opprydding og valgfri ansvarsfraskrivelse.
  • run_translation skriver ut fremdrift og estimatsammendrag gjennom Click, og matcher CLI-brukeropplevelsen.
  • dry_run=True beregner estimater ved hjelp av virtuelle README-oppdateringer, men skriver ikke README eller oversettelsesfiler.
  • groups behandles sekvensielt. Et enkelt aggregerende estimat skrives ut før arbeidet begynner.
  • Når bildoversettelse er valgt, vil manglende Vision-konfigurasjon kaste en feil før oversettelsen starter.
  • Eksisterende alias-baserte språkmapper oppdages og kan migreres til kanoniske språkmappe-navn som en del av kjøringen.
  • run_review feiler ved manglende oversatte filer, manglende eller utdaterte oversettelsesmetadata, feilformatert Markdown-frontmatter/code fences, og ugyldig oversatt notebook-JSON.
  • run_review rapporterer manglende lokale Markdown- og bildekoblingsmål som advarsler som standard.

Intern kallvei

API-en delegerer til samme kjerneimplementasjon som brukes av CLI-en:

Oversettelse:

  1. co_op_translator.api.translation.translate_markdown_content, translate_notebook_content, or translate_image_content for oversettelse i minnet.
  2. co_op_translator.api.translation.rewrite_markdown_paths or rewrite_notebook_paths for eksplisitt etterbehandling av stier.
  3. co_op_translator.api.translation.run_translation for full prosjektorkestrering.
  4. co_op_translator.config.Config, LLMConfig, and VisionConfig.
  5. co_op_translator.core.project.ProjectTranslator.
  6. co_op_translator.core.project.TranslationManager.
  7. Fokuserte prosjektoversettelses-mixins for Markdown, notatbøker og bilder.
  8. Markdown-, notebook-, tekst- og bildetranslatorer under co_op_translator.core.

Gjennomgang:

  1. co_op_translator.api.review.run_review
  2. co_op_translator.review.targets.build_review_targets
  3. co_op_translator.review.runner.ReviewRunner
  4. Deterministiske sjekker under co_op_translator.review.checks

Følgende klasser er nyttige for vedlikeholdere, men eksporteres ikke som den pakkesnivå stabile API-en.

Klasse Modul Ansvar
ProjectTranslator co_op_translator.core.project.project_translator Koordinerer prosjektnivå oversettelse, kataloghåndtering, normalisering av metadata per språk, og delegering til Markdown-, notatbok- og bildetranslatorer.
TranslationManager co_op_translator.core.project.translation Utfører det asynkrone filbehandlingsarbeidet for Markdown, notatbøker, bilder, oppdagelse av foreldede filer, og oppdateringer av oversettelsesmetadata.
ProjectMarkdownTranslationMixin co_op_translator.core.project.translation.project_markdown_translation Orkestrerer lesing av Markdown-filer, innholdsoversettelse, sti-omskriving, metadata, ansvarsfraskrivelser, og skriving.
ProjectNotebookTranslationMixin co_op_translator.core.project.translation.project_notebook_translation Orkestrerer lesing av notebook-filer, oversettelse av Markdown-celler, sti-omskriving, metadata, ansvarsfraskrivelser, og skriving.
ProjectImageTranslationMixin co_op_translator.core.project.translation.project_image_translation Orkestrerer oppdagelse av kildebilder, bildoversettelse, utdata-stier, metadata, og skriving.
ProjectEvaluator co_op_translator.core.project.project_evaluator Finner oversatte Markdown-par, evaluerer oversettelseskvalitet, og leser konfidensmetadata for reparasjonsarbeidsflyter ved lav tillit.
ReviewRunner co_op_translator.review.runner Koordinerer deterministiske gjennomgangssjekker på tvers av kildefiler, målspråk, og konfigurerte oversettelsesrotkataloger.
ReviewTarget co_op_translator.review.targets Beskriver en kilderot og oversettelsesutdata-katalogen som gjennomgås for den kilderoten.
LanguageFolderMigrator co_op_translator.core.project.language_migrator Oppdager eldre alias-språkmapper og forbereder migrasjonsplaner til kanoniske BCP 47-mappenavn.
Config co_op_translator.config.base_config Laster .env-filer og sjekker om påkrevde LLM- og valgfrie Vision-leverandører er konfigurert.
LLMConfig co_op_translator.config.llm_config.config Oppdager automatisk Azure OpenAI eller OpenAI, validerer påkrevde miljøvariabler, og kjører tilkoblingssjekker mot leverandøren.
VisionConfig co_op_translator.config.vision_config.config Oppdager Azure AI Vision-konfigurasjon og kjører tilkoblingssjekker for bildoversettelse.