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* feat: add PDF input support to AI agent with user_attachments field Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add integration tests for PDF input and backward compat Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add ContentPart::File variant for PDF support across all providers Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: address review feedback on PDF support - Extract parse_data_url_bytes and mime_to_document_format helpers in Bedrock - Add is_document_mime helper in ai_types for centralized MIME routing - Extract s3_object_to_content_part helper to deduplicate image_handler/openai - Rename AnthropicImageSource to AnthropicBase64Source - Derive Bedrock DocumentFormat from MIME type instead of hardcoding Pdf Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: merge user message and attachments into single message for Bedrock Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
System Prompts
This directory contains the single source of truth for AI system prompts used by both the frontend copilot and CLI guidance.
Structure
system_prompts/
├── base/ # Core instruction templates (manually written)
├── languages/ # Language-specific instructions (manually written)
└── auto-generated/ # Auto-generated files (DO NOT EDIT)
├── sdks/ # SDK documentation
├── cli/ # CLI command documentation
├── prompts.ts # TypeScript exports
└── index.ts # Helper functions
Usage
Regenerating Prompts
When SDK methods or the OpenFlow schema change, run:
python system_prompts/generate.py
This will:
- Parse TypeScript and Python SDK files to extract function signatures
- Parse the OpenFlow YAML schema
- Parse the CLI commands
- Assemble complete prompts from markdown files
- Generate TypeScript exports in
auto-generated/
Scope
These system prompts contain ONLY:
- How to write Windmill scripts (language syntax, conventions, SDK usage)
- How to structure Windmill flows (OpenFlow schema, module types, data flow)
- Resource type handling, S3 operations
They DO NOT contain:
- Tool usage instructions (edit_code, set_flow_json, etc.)
- IDE/editor specific commands
- Testing tool invocations
Tool instructions are added separately by the frontend and CLI.
Integration
Frontend
Uses Vite path alias $system_prompts pointing to auto-generated/:
import { FLOW_GUIDANCE } from "$system_prompts/flow";
import { getLangContext } from "$system_prompts/languages";
CLI
Generates /cli/src/guidance/skills.ts with embedded skill content for wmill init.
Editing Guidelines
- Edit markdown files in
base/,languages/ - Never edit files in
auto-generated/directly - After editing, run
generate.pyto update exports