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Call Logs is your complete record of every conversation handled by your AI agents. Every test call, live call, and API interaction is logged here automatically - with full transcripts, timing data, credit usage, and caller information. Click Call Logs in the left sidebar to open the logs screen.

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The Call Logs List

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Each row in the Call Logs table represents one conversation. The columns show:
Use the search bar at the top right to find a specific conversation by ID or agent name.

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Conversation Detail View

Click the arrow on any row to open the full conversation detail. The detail view has three panels.
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Left Panel - Conversation Info

The Conversation Info panel shows all metadata for that specific conversation: Below the metadata, the Latency gauge shows the average response time in milliseconds for this conversation. Lower latency means faster, more natural responses. The gauge uses a colour scale - green indicates healthy latency, yellow indicates moderate, and red indicates high latency that may have affected the caller experience. The Call Related panel contains tabs for additional call analysis:
These fields are populated automatically by the platform after each conversation. They become more useful as your call volume grows.

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Right Panel - Recording & Transcript

The Recording and Transcript panel shows the complete conversation in real time order - every user message and every AI agent response, with timestamps. User messages appear on the right in purple. AI Agent responses appear on the left in white. Each message has a timestamp showing exactly when it was sent. This transcript is your most important tool for improving your agent - read it to identify where responses were incorrect, too long, off-topic, or where the agent struggled to understand the caller.

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How to Use Call Logs to Improve Your Agent

1

Review transcripts weekly

Open your most recent call logs and read through the full transcripts. Look for any response that doesn’t match what a real customer would expect.
2

Identify the problem type

If the agent gave a wrong answer - it’s a knowledge base issue. If the agent behaved incorrectly - for example, being too verbose or not escalating when it should - it’s a prompt issue.
3

Fix the root cause

For knowledge base issues, go to Train Your AI and update the relevant FAQ, product, service, or document. For prompt issues, go to Basic Details → System Prompt and add or adjust the relevant instruction.
4

Test the fix

After making changes, use the Test Your AI tab to verify the agent now handles that scenario correctly.
5

Monitor credit usage

Check the Credits column regularly. Unusually high credit consumption on a single conversation may indicate the agent is giving very long responses -adjust Response Length in Basic Details → LLM Model.

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Understanding Call Types

When you first start using Valuez AI, all your logs will show Playground. Once you connect an integration - a phone number, website widget, or API key - you will start seeing Live and API call types appear.

Test Your AI

Run test conversations that will appear in Call Logs so you can review them here.

Agents

Go back to your agent configuration to fix issues identified in call transcripts.

Train Your AI

Update your knowledge base when transcripts reveal incorrect or missing information.

Platform Analytics

View aggregated performance data across all your agents and conversations.