Bifrost AI Observability
Bifrost AI Observability: Gateway-level telemetry for teams tracking LLM costs, routing, and reliability. Ranked #25 of 26 in Llm Monitoring by our editors (6.7/10); pricing: Free plan · pricing on request · 14-day trial; best for self-hosting teams monitoring gateway costs and reliability.
At a glance
- Editor score6.7 / 10
- PricingFree plan · pricing on request · 14-day trial
- Best forSelf-hosting teams monitoring gateway costs and reliability
- Free planYes
- LLM tracingYes
- Facts checked24 Sep 2026
Where it wins
- Attributes costs by provider, model, virtual key, team, and customer
- Exports OpenTelemetry traces and Prometheus metrics
- Captures routing, retries, and failover traces
Where it doesn't
- Observability covers requests passing through the Bifrost gateway
- Evaluations are not included
- OSS is self-hosted; enterprise pricing is custom
Our verdict on Bifrost AI Observability
Bifrost AI Observability captures telemetry for LLM and agent calls that pass through its gateway. It is aimed at teams that want to monitor request content, token use, cost, latency, status, and routing details, with costs attributed to provider, model, virtual key, team, or customer. Its free, open-source OSS edition is self-hosted, making it a fit for teams prepared to run the gateway and manage their own trace retention. Teams looking for evaluations should consider a different tool.
The monitoring detail extends beyond basic request logs. Teams can query logs through an API by provider, model, status, and time range, export OpenTelemetry traces using GenAI semantic conventions, and expose Prometheus metrics for successes, errors, tokens, costs, and cache hits. Routing and failover traces include retries and key rotations; MCP tool-call duration and failure rate are also measured. Content logging can be disabled while retaining request metadata, which gives teams a way to limit captured content without losing operational signals.
The OSS plan costs $0 and includes built-in observability, OpenTelemetry-compatible metrics and traces, budget management, and rate limits. Enterprise pricing is custom; that tier adds private deployment options, SSO, alerts, log exports, and audit logs. The published pricing page says Enterprise has a 14-day free trial. Prometheus, Grafana, Datadog, New Relic, Honeycomb, Langfuse, Arize Phoenix, and compatible collectors are among the listed integrations, with exports also available to storage and messaging systems such as BigQuery, S3, GCS, Kafka, and Pub/Sub. Choose Bifrost for gateway-centric telemetry and cost attribution; skip it if evaluations are central or you do not want to self-host.
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Bifrost AI Observability pricing
All 2 Bifrost AI Observability plans and prices →
Bifrost AI Observability fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| LLM tracing | Yes |
| Evaluation support | No |
| Deployment options | Self_hosted |
| Trace retention | Not verified |
| Alerts | Yes |
| LLM providers | Not verified |
| Free trial | 14 days |
| Deployment | Self-hosted, Cloud |
| Compliance & security | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML |
| Support | Community, Docs, Email |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 13 integrations: Prometheus, Grafana, Datadog, New Relic, Honeycomb, Langfuse … |
| Pricing | Free plan · pricing on request · 14-day trial (source) |
| Website | getmaxim.ai |
| Facts checked | 24 Sep 2026 |
Bifrost AI Observability integrations
Bifrost AI Observability lists 13 integrations on its own site.
- Prometheus
- Grafana
- Datadog
- New Relic
- Honeycomb
- Langfuse
- Arize Phoenix
- OpenTelemetry-compatible collectors
- BigQuery
- S3
- GCS
- Kafka
- Pub/Sub
Alternatives to Bifrost AI Observability
- LangSmithBroad LLM tracing and evaluation, with cloud, hybrid, and self-hosted options.9.3
- Datadog LLM ObservabilityLLM tracing and evaluation with Datadog context, plus a free plan and cloud-only deployment.9.1
- LangfuseTrace LLMs, agents, retrieval, evaluations, prompts, and costs in cloud or self-hosted deployments.8.9
See all Bifrost AI Observability alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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