kapi pseudo-translate

$ kapi pseudo-translate [files...]

Kjør den innebygde pseudo-oversettelsesflyten: utvid hver streng med lokaltilpassede aksenter og lengdefylling slik at avkutting, sammenkobling og hardkodede-streng-feil avdekkes før noen virkelig oversettelse kjøpes. Kjører heldig offline — ingen AI-leverandør eller nøkler kreves.

Bruk det som en forhåndssjekk; når grensesnittet holder, produserer 'kapi translate' (ad hoc) eller 'kapi up' (prosjekt) de virkelige oversettelsene.

Commandpseudo-translate

Grouptranslate

Try it

Runs in your browser against a small sample file. Edit the command before running, or press Run to execute it as shown.

$ kapi pseudo-translate messages.json

Flags

Flag	Type	Default	Description
--api-key	string		API key for the AI provider
--batching	string		how many blocks share one LLM call: auto (default), single
--concurrency , -j	int	0	number of files to process at once (0 = auto)
--context	string		what the model is told about a block besides the block: none, key (default), neighbours
--credential	string		saved credential name to use (see 'kapi credentials list')
--encoding , -e	string		input file encoding
--explain	bool	false	print the resolved source → sink bindings and exit without running
--fail-on-unknown	bool	false	exit with error if any file cannot be processed (default: skip with a warning)
--format , -f	string		override input format detection
--input , -i	stringSlice		input file path(s); repeat for multiple files
--instruction	string		extra guidance for the model while translating (e.g. "informal register; keep product names in English")
--memory	string		named Memory for recycle flow (resolves from KAPI_HOME)
--model	string		AI model name
--output , -o	string		output path or template (e.g. ./out/{name}_{lang}.{ext})
--pack	bool	false	when transforming a .kpz, also eject the result to the .kpz (auto-pack)
--parallel-blocks	int	0	fan out block processing across N goroutines (0 = off)
--progress	string		stream progress events to stderr as NDJSON (value: jsonl); events use the flow-run event vocabulary
--project , -p	string		path to a kapi.yaml project recipe or its directory (auto-discovered from cwd if omitted)
--provider	string	anthropic	AI provider (anthropic, openai, ollama)
--source-lang	string		source language (e.g. en, en-US; defaults to the project's source_language, else en)
--stats	bool	false	include part/block counts in output
--strict	bool	false	alias for --fail-on-unknown
--target-lang	string		target language (e.g. fr, de-DE)
--termstore	string		named terms store for term-lookup/enforce (resolves from KAPI_HOME)
--trace	string		write flow trace JSON to file (for flow visualization)

More examples

$ kapi pseudo-translate src/locales/en.json -o src/locales/qps.json

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