llm-prompt-template-override

To inject external document context without breaking dependencies, wrap the injected content in XML tags that align with the host template's dependency sections. This ensures the LLM treats the provided documents as valid dependencies rather than non-dependency reference material.

An LLM worker ignores injected documents and hallucinates when the prompt template lacks explicit dependency alignment. Applying deterministic placeholder StringReplace substitution wraps context correctly, preventing the no dependency provided misinterpretation.

Yes, you can use StringReplace to substitute language-specific placeholders in prompt templates. This approach supports replacing empty-dependency literals including Japanese and English variants with an attached-documents block for reliable context injection.

The best way to handle prompt injection when the dependency placeholder is missing is using a two-step fallback behavior. If placeholder replacement is unavailable or artifacts already exist, the system safely prepends the injected context.

To reduce response distortion when adding external notes to ClaudeOrchestrator workers, embed explicit intent via HTML comments and structured document indexing. This instruction signaling improves citation-like referencing within the prompt template.

Yes, prompt templating works with bilingual label matching for context injection. The template-aware replacement strategy satisfies requirements for matching both Japanese and English dependency literal placeholders during the StringReplace substitution process.