LLM configuration
Configure ktx LLM providers, model roles, and prompt caching.
Configure text generation, structured extraction, and ingest or memory loops in
the top-level llm block.
Backends
Set llm.provider.backend to one of these values:
anthropic: Use the Anthropic API throughANTHROPIC_API_KEYor the configuredapi_keyreference.vertex: Use Vertex AI Anthropic models through Google Cloud credentials.gateway: Use AI Gateway-compatible Anthropic model ids.claude-code: Use your local Claude Code session through the Claude Agent SDK. ktx strips provider-routing environment variables from child processes.
Claude Code
Use aliases or full Claude model IDs in llm.models:
llm: provider: backend: claude-code models: default: sonnet triage: haiku candidateExtraction: sonnet curator: sonnet reconcile: sonnet repair: sonnet
During setup, choose the backend interactively or pass the model in automation:
ktx setup --llm-backend claude-code --llm-model opus --no-input
For Claude Code, sonnet, opus, and haiku map to ktx defaults. Full Claude
model IDs are also accepted.
claude-code exposes only ktx MCP tools for the current agent loop. SDK init
metadata may still list host slash commands, skills, and subagents; ktx does not
grant execution access to them.
Prompt caching
llm.promptCaching has partial parity on claude-code. Status and doctor warn
when the Claude Agent SDK backend ignores configured cache fields.