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Bridge Tips and Best Practices

Tips for getting the most out of Bridge, plus a guide to its limitations and what it genuinely knows vs. what it might get wrong.

Prompt Patterns That Work Well​

Be Specific About Resource Names​

Bridge identifies resources by name. Ambiguous names lead to confusion:

✅ "Update the gpt4o-security-analyzer agent's system prompt to..."
❌ "Update the security agent" (might match multiple agents)

Chain Actions in a Single Message​

Bridge handles multi-step requests well:

✅ "Create an agent named summarizer using gpt-4o-mini, set temperature to 0.3, 
    enable web_search, assign the Research Analyst skill, and add it to 
    the daily-report workflow after the fetcher node"

Reference Context from Earlier in the Conversation​

You: "What's the best model for code analysis?"
Bridge: "Claude Sonnet is excellent for code analysis..."
You: "Ok, create an agent with that model and name it code-analyzer"

Bridge resolves "that model" from the conversation context.

Ask Bridge to Explain Before Acting​

"Before creating the workflow, explain what each node will do 
and what I'll need to configure manually"

This is the equivalent of reading the plan before signing. Useful when building complex workflows.

Use Bridge to Debug Failures​

"The content-pipeline workflow failed yesterday. What was the error and what caused it?"
Bridge: "The researcher node failed at 14:32 with: APIKeyNotFound. The agent 
        references key 'my-old-openai-key' which was deleted. You can fix this 
        by opening the researcher agent and selecting a new API key."

Bridge can interpret execution logs and explain them in plain English.

What Bridge Genuinely Knows​

Bridge has real-time access to:

  • Your complete agent inventory (name, model, capabilities, skill, RAGs, MCPs, system prompt)
  • Your complete workflow inventory (nodes, edges, trigger config, last execution)
  • Your execution history (status, duration, node results, error messages)
  • Your RAG source configurations (provider, connection status, document count)
  • Your MCP server configurations (provider, tool count, connected by)
  • Your project members and roles
  • TARX documentation (via semantic search)

Bridge does not know:

  • The raw values of your API keys (encrypted, never exposed)
  • The content of your LLM API key provider accounts
  • Your external systems (GitHub repos, Jira projects, Slack workspaces — unless you describe them)
  • Future events (what will happen on the next scheduled run)

What Bridge Might Get Wrong​

Agent Name Conflicts​

If you have two agents with similar names (e.g., researcher and web-researcher), Bridge might pick the wrong one. Always use the exact name when ambiguity is possible.

Complex Condition Expressions​

Bridge can write simple condition expressions, but complex ones involving JSON parsing or advanced Python may need manual review. Always test Branch conditions in execution before deploying to production.

New TARX Features​

Bridge's knowledge of TARX is based on the indexed documentation. Very new features (released after the last documentation update) may not be known to Bridge. When in doubt, check the actual documentation.

Cron Expressions in Unusual Timezones​

Bridge can generate cron expressions, but double-check timezone handling for non-obvious cases (e.g., half-hour offset timezones like IST: Asia/Kolkata).

Example Conversations​

Quick Agent Setup​

You: I need a content writer agent that produces SEO-optimized blog posts. 
     Use Claude Haiku for speed and cost, assign the SEO Writer skill.

Bridge: Creating the agent:

        Name: content-writer
        Model: claude-haiku-4-5
        Skill: SEO Content Writer
        Temperature: 0.7

        [Confirm]  [Modify]  [Cancel]

You: [Confirm]

Bridge: ✅ Done! content-writer agent created.
        
        Next step: Select your API key in the Agent Editor 
        (it needs your Anthropic key).
        Want me to open the agent editor?

Debugging a Workflow​

You: The security-monitor workflow has been failing. What's happening?

Bridge: Looking at recent executions... 

        The workflow has failed 3 times in the last 24 hours:
        - 09:00 EST: log-fetcher agent failed with HTTPError 401 (Unauthorized)
        - 13:00 EST: same error
        - 17:00 EST: same error
        
        The log-fetcher workflow's http_request node to https://api.yourservice.com/logs 
        is returning 401. This usually means:
        1. The API token expired or was rotated
        2. The endpoint URL changed
        
        Check the token configured on the http_request node. If it's stored as a
        credential, the credential may need updating.

You: How do I update the token?

Bridge: Two options:
        1. Quick: Tell me the new token and I'll update the node config directly
        2. Secure: Store the token as a credential in Settings → Keys & Secrets, 
           then reference it via an MCP server (more secure for production)
           
        Which do you prefer?

Team Collaboration​

You: I need to give our new security engineer access to just the security-related 
     workflows. What's the best way to do this?

Bridge: TARX uses project-level roles — there's no workflow-specific access control.
        
        Your options:
        1. Add her as an Editor to this project (can see/edit everything)
        2. Add her as a Reader to this project (can view + trigger, but not edit)
        3. Create a separate "Security" project with just the security workflows 
           and add her as Editor there
        
        For security workflows specifically, option 3 (separate project) gives you 
        the cleanest separation. Want me to help set that up?

Limitations​

LimitationDetails
Context window30 messages per conversation before older messages are compressed
No canvas visualizationBridge can't see or manipulate the canvas visually — it works with the underlying data
No real-time LLM cost trackingBridge doesn't know how many tokens your agents are consuming per execution
No cross-project accessBridge only knows about the current project
No internet accessBridge uses its RAG knowledge base + your project data, not live web search
No file system accessBridge can't read files from your computer (attach them as messages)
Built-in modelBridge runs on TARX's built-in model — great for orchestration; for the heaviest reasoning, delegate to one of your own agents on a flagship model

When to Use Bridge vs. Manual UI​

TaskUse BridgeUse Manual UI
Quick agent creation✅ Faster
Complex workflow design✅ Visual canvas is clearer
Debugging failures✅ Natural language explanation
Updating a single field✅ Just say it
Exploring what's configured✅ Ask in natural language
Precise node positioning✅ Drag to exact position
Learning how something works✅ Ask BridgeAlso check docs
Bulk configuration changes✅ Describe the changes
API key management✅ Settings page (Bridge can't see values)
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