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Agentforce Vibes

This is a group for anyone interested in the Agentforce Vibes Visual Studio Code extension and IDE. Here, you can ask questions, share feedback, and learn more about the new agentic developer experience specifically designed to super-charge developer productivity! Note: Agentforce Vibes is not the same as Agentforce.

How are agents impacting our business?  

 

Agents are helping automate repetitive tasks and improve productivity by providing faster access to information. This allows teams to focus on more strategic work and deliver better customer experiences 

1 comment
  1. Today, 10:19 AM
    For our company, agents are answering our calls outside of normal business hours, allowing us to better serve potential customers by answering their questions about service offerings, and by allowing them to "book an appointment" or request a callback. This is allowing us to better serve our customers with experiences that are more personalized than a traditional voicemail or answering service.
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2 answers
  1. Apr 13, 5:04 PM

    Initiating Employee Agent Conversations from a Button or LWC

    Yes, you can programmatically initiate an Agentforce Employee Agent (internal-facing agent) session from a button or LWC using the Agentforce API or the Einstein Bots/Agent REST APIs.

    Recommended approaches:

    1. Embedded Service / Agent API: Use the Agent REST API (POST /einstein/ai-agent/v1/sessions) to create a new agent session server-side from an Apex action, then surface the session in your LWC via a custom UI or the Salesforce Messaging In-App SDK.

    2. LWC + Apex callout pattern: In your LWC, call an Apex method (wire or imperative) that invokes the Agent API to start a session and returns the session ID. Render the conversation UI using the returned session context.

    3. AgentforceConversationKit (if available in your org): Check Setup [right arrow] Agents for any LWC-compatible conversation components provided out-of-the-box for embedding agent chat in internal pages.

    Note: Employee agents require the user to be authenticated in the org. External/unauthenticated initiation is not supported for this agent type.

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My customer's last use of agentforce: 

1. Take a large list leads with email addresses that couldn't be served up till now (form submissions on web site) 

2. Agentforce does a callout to google search to find contextual details on the lead. Limiting token usage. 

3. Process in a Flow to categorise leads.

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How are agents impacting our business? 

 

Agents are being implemented in a wide range of scenarios, automating tasks such as compiling and analyzing information org-wide and from external sources,  and providing useful insights and recommendations, helping users to make decisions faster. 

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share one way agents are impacting your business.

 

 

Agents are impacting business by completing routine tasks, answering the repeated questions from customer. By doing these, it gives more time for the team to work on other important tasks and build new things.

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I have an interesting Salesforce use case to share.

It’s about connecting Salesforce Revenue Cloud with WhatsApp, so parts of the ordering process can happen directly in chat.

 

For example, a customer can send an order request in WhatsApp, receive pricing options, confirm billing and shipping details, and then have the order created in Salesforce Revenue Cloud  

https://youtu.be/2hGt0TkbwnQ

 

I think this is a cool example of where AI and Headless CRM can be genuinely useful. Not just as a fancy add-on, but as something that removes a few extra steps from the process.

 

We’ve been exploring this approach, and it’s exciting to see how much simpler some Revenue Cloud processes can become when you bring them into a chat experience.

 

Has anyone else tried something similar with Salesforce and messaging apps?

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Hi everyone, 

 

I am hitting a brick wall with the Local_Info_Agent simulation in VS Code. Despite following the "manual permission assignment" fix mentioned by Eduardo and Swati and by Bhoopesh, I am still receiving the generic "Something went wrong. Internal Error, try again later" message every time I click "Start Simulation."

Here is everything I have verified and executed so far:

  • Org Setup: Confirmed "Turn on Einstein," "Einstein Bots," and "Agentforce (Default)" are all toggled ON in the Developer Edition org.
  • User Configuration: Verified the default_agent_user in the .agent file matches the generated afdx-agent username in the org.
  • Permissions (Admin): Manually assigned AFDX_User_Perms, Prompt Template User, and Agentforce Default Admin to my Admin user.
  • Permissions (Agent User): Manually assigned AFDX_Agent_Perms, Coral Cloud Admin, Coral Cloud Agent, and all standard Agentforce Service Agent permission sets to the agent user.
  • Code Integrity: Verified Agent Script syntax is correct (headers like system:, config:, etc., are properly spelled and indented).
  • Deployment: Successfully ran sf project deploy start to sync the metadata bundle to the org.
  • Environment: Reloaded the VS Code window and validated the agent script (Validation returns "Success").

Despite a 100% successful environment setup and manual permission overrides, the simulation server still fails. Is there a known issue with the LLM gateway for this specific module, or a hidden permission (perhaps related to the Einstein Agent profile itself) that the setup script is failing to bridge?

Any insights would be greatly appreciated!

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AI agents are transforming how our team works — from synthesizing vendor research and tracking action items across multiple workstreams, to keeping documentation up to date in real time. Tasks that used to take hours of manual effort now happen instantly, freeing us up to focus on strategy and decision-making. Agentforce is making our team faster, more aligned, and better informed every day.

1 comment
  1. Jun 4, 5:07 PM

    Would help how to place at Salesforce role I have skill set to make it

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Hello Everyone! 👋 

 

I'm excited to be part of this community. 

 

One way agents are impacting business is by helping automate common customer requests and providing faster support. This saves time for support teams, improves customer experience, and allows employees to focus on more important tasks. 

 

Looking forward to learning from everyone and exploring more about Agentforce! 

 

Thanks and Regards. 

Pooja Bhattacharya

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