Mezmo
Your AI agent handles thousands of conversations. Mezmo captures every interaction as structured log data, feeding it into your observability pipeline for analysis, alerting, and compliance. See conversation patterns, detect anomalies, and troubleshoot issues with the same tools your engineering team already uses.
Your AI agent sends structured conversation logs to Mezmo and manages pipeline alerts, keeping your observability team informed about what your agent is doing at scale.
Mezmo
How engineering and operations teams use Mezmo to monitor, analyze, and optimize the AI agents that talk to their customers.
Your AI agent handles customer support across multiple channels. Every conversation gets logged to Mezmo as structured events with channel, duration, and topic metadata. Your ops team watches a Grafana dashboard fed by Mezmo's pipeline, spotting a sudden spike in conversation volume after a product update. They scale resources before response times degrade. Proactive operations powered by real-time conversation telemetry.
The agent logs every external API call to Mezmo, including response times and error codes. Mezmo's pipeline detects a pattern of increasing latency from your payment provider integration. An alert fires to your engineering Slack channel before customers start complaining about slow payment lookups. The team investigates and identifies a rate limiting issue, fixing it within minutes.
In a regulated industry, every customer interaction needs an audit trail. Your AI Agent sends detailed conversation logs to Mezmo, including timestamps, user identifiers, actions taken, and data accessed. When auditors request interaction records, your compliance team queries Mezmo's log analysis for the specific date range and customer. Complete audit trail, queryable and tamper-evident.
Mezmo
FAQs
The agent sends structured JSON log events through Mezmo's Ingest Logs API. Each event includes a hostname identifier, timestamp, and a JSON-serializable payload containing conversation metadata like topic, duration, actions taken, and outcome. Mezmo processes these as standard log events compatible with your existing pipeline configuration.
Yes. Mezmo's Telemetry Pipeline sits between ingestion and your observability platforms, giving you full routing control. You can route error conversations to PagerDuty, routine logs to S3 for long-term storage, and high-value sales interactions to your analytics platform. All based on log content, tags, or metadata.
The Mezmo Service Key authenticates API requests for log ingestion and pipeline management. You generate it from your Mezmo account settings under API Keys. The key has permissions to ingest logs and manage pipeline configurations. Keep it secure, and rotate it periodically following your security policies.
The agent sends log events in batches via the Ingest Logs endpoint, which accepts an array of log objects per request. This is more efficient than individual calls. Events from a conversation can be batched together at conversation end or sent at key milestones during the interaction.
The agent can delete pipeline alerts for specific components within a pipeline using the Delete Pipeline Alert endpoint. You specify the pipeline ID, component kind (source, transform, or sink), component ID, and alert ID. Alert creation and modification would be handled through Mezmo's dashboard or additional API endpoints.
File-based logging gives you raw text that is hard to search and analyze. Mezmo provides structured log ingestion that feeds into a telemetry pipeline with parsing, aggregation, filtering, and routing capabilities. Your conversation logs integrate with your observability stack, including Splunk, Datadog, New Relic, and Grafana, out of the box.
The agent continues the customer conversation uninterrupted. Log ingestion failures do not block customer interactions. The agent can be configured to retry failed log submissions or queue events for later delivery. Conversation quality never degrades because of observability infrastructure issues.
Absolutely. The structured logs in Mezmo provide rich data for analysis: which topics generate the most conversations, where the agent escalates to humans, which integrations are slowest, and what customers ask most frequently. Teams use this data to refine agent training, optimize integrations, and identify new automation opportunities.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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