Fallom is an AI-native observability platform that provides real-time tracing and monitoring for LLM calls, purpose-built for developers building AI agents and applications.
What is Fallom?
Fallom is an observability platform for AI applications that traces LLM calls, tool executions, and agent workflows. It ingests telemetry data from multiple LLM providers and OpenTelemetry integrations, then outputs dashboards with timing, cost attribution, and compliance-relevant logs. The platform runs as a cloud service and is available under a freemium pricing model. (Maker not stated on the page.)
Key Features
- Multi-LLM provider support — Trace calls from OpenAI, Anthropic, and other major LLM providers in a single interface, without manual instrumentation per provider.
- OpenTelemetry integration — Connect existing OpenTelemetry-instrumented services to Fallom, unifying LLM telemetry with broader application traces.
- Tool call tracking — Capture every tool invocation made by an AI agent, including inputs, outputs, and execution timing, to debug agent decision sequences.
- Cost attribution per call — View per-LLM-call cost breakdowns by provider, model, or user session, enabling budget tracking and chargeback reporting.
- Compliance readiness — Automatically log LLM request/response payloads with timestamps and user identifiers to support audit trails and regulatory reviews.
- Real-time dashboards — Monitor latency, error rates, token usage, and throughput for live AI application traffic, with configurable filters for time range and model.
Who is it for?
- AI agent developers who need to trace tool call sequences and debug unexpected agent behavior during development and production.
- LLM application engineers who require per-request cost and latency visibility across multiple provider accounts and models.
- Compliance or platform teams who must retain audit logs of LLM interactions for regulatory standards (e.g., SOC 2, GDPR) without building custom logging infrastructure.
What can you do with Fallom?
- Debug a failed agent prompt: Inspect the full chain of LLM calls and tool invocations for a single user request, comparing timing and cost to identify the failing step.
- Track monthly LLM spend by team: Filter dashboards by API key or user tag to see which teams or features drive the highest model usage and cost.
- Validate compliance logs before an audit: Export a time-stamped trail of all LLM inputs and outputs for a given date range, with associated user metadata.
Pricing
Fallom is offered under a freemium model. Specific tier limits (e.g., free trace quota, paid plan features) are not detailed on the page.
FAQ
Does Fallom support OpenTelemetry directly?
Yes. Fallom integrates with OpenTelemetry, allowing you to send LLM trace data from any OpenTelemetry-instrumented application without custom agents.
Is Fallom free to use?
Fallom has a freemium pricing model, meaning a free tier is available with limited usage; paid plans unlock higher trace volumes and retention periods.
What LLM providers can I monitor with Fallom?
The platform supports multiple major LLM providers (e.g., OpenAI, Anthropic). The exact list of supported providers is not enumerated on the product page.
Can I export compliance logs from Fallom?
Yes. Fallom captures request/response payloads with timestamps and user identifiers, and dashboards can be filtered to produce audit-ready logs for compliance reviews.
