AI Services Agents
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Twym Fabric

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Guided Setup

One place to create a project, add agents (new or reuse), optionally set a team, permission policy, and governance, then get the API endpoint to integrate on your platform.

  1. 1 Project *
  2. 2 Agents *
  3. 3 Team optional
  4. 4 Policies optional
  5. 5 API endpoint *

* required · steps without a star can be skipped

You must pick a project before anything else. Create new starts a blank project. Use existing continues with one you already have.

Creates a new project workspace and issues a publish API key.

Agents

Lists agents in the registry with status, runtime, and model. Search or filter, then open an agent to manage it. Governance companion agents are kept in the background and are not listed here.

Name Status Agent ID Runtime Model Updated

Create Agent

Start from a template (config comes preset) or switch to Custom config for a specialist you define yourself. Fields marked * are required.

Generated from the description above — this is what actually tells the agent what to do at runtime. Preview it here and edit if you want; your version is what runs. If you skip the preview it is generated on create.

Cancel

Agent Details

Shows this agent’s configuration, governance profile, lifecycle actions, and feedback history.

Agent ID —

Edit Agent

Edits this agent’s name, system prompt, runtime, tools, data sources, and governance profile. Use Agent Details to activate, disable, or archive.

Agent ID —

The instructions this agent follows on every run. Edit freely, generate a new version from the description, or reset to the last AI suggestion.

Cancel

Query Tester

Runs a live execute call on an active agent. Shows the response, token usage, governance decision, and a form to submit feedback.

Governance

Create and review governance profiles that agents use at execute time. Each profile holds who can call (roles), rate limits, exact pattern redaction/blocks, and custom policy checks evaluated for meaning (not only exact words). Attach a profile on Create or Edit Agent.

Defines a reusable rule pack for a product or project (for example Twym Ops vs Twym Edge). After create, select it on an agent.

Profile catalog

Profiles already available to attach to agents, including which agents use each one and their custom policy checks.

Permission Policies

Build copyable permission policies from draggable blocks — time, resource, action, milestone, and security. Enable a policy when creating a project (or agent), change it anytime in settings. During execution the Governor sees what the agent is trying to do and enforces the policy, asking the user only when a rule requires a decision.

Drop blocks here to define permission rules.

Logs

Execution history by project. Each row is one run: which agent executed, when, whether it succeeded, how long it took, and how many tokens it used. Open a row for the request, the failure reason, and per-agent results.

Projects

Projects are parent containers for agents. After create you can Publish (give others your endpoint + fab_… key) and Connect (attach another Fabric project or external API/MCP with their credentials).

Creates the project in draft lifecycle with a permission policy enabled. Change the policy later in Settings. Promote with Test → Activate → Publish before others can call it.

Project registry

Project

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Optional — group project agents to run together. Set Parallel or Sequential running mode. Call execute without agentId to run the team flow; pass agentId to run one agent alone.

Choose an existing agent. Labels help supervisors route work.

Mapped specialists on this project. External callers use the project execute URL — not a per-agent URL.

Runs one mapped agent through the project execute endpoint. Payload shape is defined by that agent’s prompt — use {} if it needs no input.

Changes save automatically. Enable the interface your caller understands.

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One publish key per project. Keys do not expire — reconfigure when you need a new secret (old key stops working).

REST example

payload is whatever your agent’s prompt expects. Leave it {} if the agent needs no input. 


                

              

            


            

              

              
              

                Use this only when agents in this project must call another project or external service.
              

              

                
                
                

                  
                

                
                
                
                
              

              

              

            


            

              

                
                
Change which permission policy applies to agents run through this project. Selection saves automatically.

              
              
                

              

              

                
                
Archive keeps the project on record but stops execution and publishing, so it can be brought back. Delete removes it for good, along with its teams, agent mappings, publish keys and connections — the agents themselves stay in your catalog. Use Disable from Overview if you only need a temporary pause.

                

                  
                  
                

              

            

          

        

      


      

        

          

            

              
Knowledge · TwymAtlas

              

                TwymAtlas is Fabric’s only knowledge plane (MCP). Fabric does not host generic or
                local knowledge sources — agents retrieve indexed enterprise knowledge from Atlas
                at execute time.
              

            

            

            


            

              
              
Fabric talks to TwymAtlas over MCP — paste your key in the form below. No .env edits or restart required.

              
    
                
  1. 
                  Connect Atlas
                  Sign in to TwymAtlas → sidebar MCP → Configure (first key) or Reconfigure (rotate; old key stops immediately). Copy the MCP URL and tf_… key (shown once). Paste both below and click Save & connect. 
                
    2. 
                
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                  MCP URL origin
                  If the Atlas UI is on a different host than the MCP endpoint, paste the MCP URL from the Atlas MCP page — not the UI origin alone.
                
    3. 
                
  3. 
                  Rotate or revoke keys
                  After Reconfigure or Revoke on Atlas MCP, paste the new key here and save. To remove Fabric’s saved copy, use Revoke console key below.
                
    4. 
                
  4. 
                  Knowledge agents
                  Use a knowledge agent (seeded: agt_ops_knowledge) or any agent with Atlas knowledge / tool knowledge_search. At execute time the agent receives every advertised Atlas MCP tool — you do not list those names in Allowed Tools.
                
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                  Via project
                  Open Twym Ops → map a knowledge agent → Execute (pass agentId if multiple agents) with task JSON, or a query field for knowledge assistants.
                
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                  Direct test
                  Query Tester on Ops Knowledge Specialist, or use the search form below.
                
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                  Citations
                  When Atlas returns chunks, execute responses include citations / knowledgeUsed: true.
                
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                Saved in this console and used immediately for Knowledge tools and agent execute.
                Paste the key here — Fabric does not use ATLAS_API_KEY from .env.
              

              
              
              
Leave the key blank to keep the current saved key. After Reconfigure in Atlas, paste the new key here.

              

                
                
              

            


            

              

                
                
              

              
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                Tools advertised by TwymAtlas MCP for this API key. Knowledge-capable agents
                invoke whichever of these they need at execute time — Fabric does not hard-code
                the list. New Atlas tools appear here and become callable on the next run.
              

              
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                Retrieves matching passages from indexed files (vector search), then synthesizes a
                short demo answer via LiteLLM. Search for content from a file — not
                “what knowledge do you have?”.
              

              
              
            

            
            

          

        

      


      
      

        

          

            

              
Route not found

              
That AI Services path is not configured.

            

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