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New Agent
Unique name used in pipelines
Helps auto-select this agent for related tasks
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Only checked documents will be available to this agent — other agents cannot access them.
Default query used when pulling context from pinned documents.
Save Orchestration
Your AI operations platform is ready. Build, orchestrate, and deploy intelligent workflows.
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Orchestrations
New Orchestration
Workflow Canvas
Drag nodes to reposition. Connect output ports (right side) to input ports (left side) to pass data between agents.
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Build an agent flow
Drag one or more agents from the left onto the canvas, then connect them in the order they should run.
New Pipeline
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Pipeline Output
Add a step to define this pipeline’s output.
{{final_output}}
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The pipeline always returns whatever the last block produces.
The final output can stay in the pipeline for review, be saved as a named global variable any app can read, update a knowledge document, or be sent to an external service. To keep a copy, save it to the knowledge base — it stays private to you unless you share it.
A short identifier like daily_report or threat_summary. Any app widget can display this by name without re-running the pipeline.
These are uploaded documents already in the vector store, not files on your computer.
Type {{ to insert a variable, or tap one:
This writes a brand new local file on disk using the path you provide.
No save location selected yet.
Type {{ to insert a variable, or tap one:
Type {{ to insert a variable, or tap one:
Type {{ to insert a variable, or tap one:
Test Run
Enter text below, then click the Run button (or ⌘+Enter) to test your pipeline.
Final Output
Regression Tests
Saved input + expected output. Replay anytime to catch silent regressions when models or KB change.
Add Regression Test
Deploy Pipeline as API
This pipeline will be callable via POST request
💾 Functions
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Functions are reusable Python snippets callable from pipelines, the orchestrator, and other functions.
New Function
Calling convention:
Define a function with the same name as above (or run / main).
All params passed directly — just call other_fn(arg).
Return a string.
Click to insert a run_pipeline() call.
Output
Python
AI Assistant
Ask the AI to write, fix, or explain your function. Your current code is sent automatically as context.
Global Variables
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Run a pipeline with a Set Global Var step, or create one manually above.
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Web Apps
Build and launch operational interfaces
Operations Console
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LLM Backend
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⚠ Slow Pipelines
📦 Export / Import
Download to USB / Folder
Exports all pipelines, web apps, functions, and global variables to a single .zip file you can copy to a USB drive or transfer to another instance.
Import from File
Select an export .zip to import. Items whose name already exists will be renamed (Imported) — nothing is overwritten.
Browser Cache
Reload cached pipelines, agents, functions, and documents if deleted items remain visible.
Settings
🗺 Architecture Map
Interactive diagram showing every UI view, frontend JS file, API router, service, and database table — with live connection tracing when you click any node.
Audit Log
Ingest RSS Feeds
Share Resource
Confirm Action
Response Feedback
Build App With AI
Describe the screen or changes you want. Review the generated layout before saving.
App JSON
Edit the raw app configuration. Paste valid JSON and click Apply to update the canvas.
Import
Import from a file or from another WarClaw instance's URL.
