Traceloop
An open-source Rust-based LLM gateway providing unified multi-provider access with built-in observability
- Vendor
- Traceloop
- Also known as
- traceloop
Available worldwide
What is Traceloop?
A high-performance gateway that centralizes LLM request routing and tracing across multiple providers through an OpenAI-compatible API, featuring integrated OpenTelemetry observability and optional PostgreSQL-backed dynamic configuration.
Traceloop pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free tier with up to 50K spans/month. Enterprise custom pricing. 14-day free trial.
Free
Free- seats
- 5
- spans
- 50k/mo
- data_retention
- 24 hours
- Monitoring Dashboard
- Evaluation Dashboard
- CI/CD integration
- Prompt Management
Enterprise
Contact sales- SOC 2 Compliance
- On-prem deployment option
- Dedicated slack support
What Traceloop does
The capabilities that matter for llm observability, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed cloud saas
- Token cost and latency waterfall charts
- ✓
- Opentelemetry openllmetry native export support
- ✓
- Prompt playground and in dashboard replay
- ✓
- Multi step agentic workflow distributed tracing
- ✓
- User feedback score API for thumbs up down tags
- -
- Pii redaction and prompt content masking
- -
- Production ab testing of system prompts
- ✓
- Automated anomaly detection for rate limits
- -
- Native integration with langchain and llamaindex
- ✓
- SOC2 type ii
- -
- Mit or apache permissive oss license
- ✓
- Pricing model
- Pay per 10k traces
Platform & deployment
Independently observed- macOS
- Linux
- Windows
- Cloud / SaaS
- On-premise
- Self-hosted
Integrations (35)
Independently observed- Qdrant←•
- Weaviate←•
- Datadog→•
- Honeycomb→•
- New Relic→•
- Dynatrace→•
- OpenTelemetry Collector→•
- Service Now Cloud Observability→•
- Google Cloud→•
- AWS→•
- Azure→•
- Oracle Cloud→•
- Tencent Cloud→•
- Google Cloud AI Platform→•
- PostgreSQL⇄•
- OpenAI
- Anthropic
- Gemini
- Bedrock
- Ollama
- Watsonx
- Cohere
- Mistral AI
- together.ai
- Pinecone
- Chroma
- LangChain
- LlamaIndex
- CrewAI
- Grafana Tempo
- OpenTelemetry
- Prometheus
- AWS Marketplace
- GCP Marketplace
- Azure Marketplace
Traceloop FAQ
Common questions about Traceloop, answered from independent, dated evidence.
What is Traceloop?
A set of OpenTelemetry-based extensions that provides monitoring and observability for large language model applications, with built-in integrations for popular LLM providers and vector databases. It is indexed under Llm Observability.
Source: https://traceloop.com
Is Traceloop free to use?
Traceloop is open source, so it can be self-hosted and used at no licence cost. Paid editions are also offered: Enterprise, priced on request. Pricing changes often, so verify at source before relying on it.
Source: https://traceloop.com/pricing
What platforms does Traceloop support?
We have confirmed browser-based access to Traceloop. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Source: https://traceloop.com/pricing
Can Traceloop be self-hosted?
Yes. Traceloop can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://traceloop.com
What does Traceloop integrate with?
We have confirmed 30 integrations for Traceloop, including OpenAI, Anthropic, Gemini, Bedrock, Ollama, Watsonx, Cohere and Mistral AI, plus 22 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://traceloop.com
What security certifications does Traceloop have?
We have independently confirmed SOC 2, HIPAA and GDPR for Traceloop. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Traceloop not holding them. Always confirm compliance directly before you rely on it.
Source: https://traceloop.com/pricing
Traceloop alternatives
Other llm observability we track, ranked by the same independent score.
- LunaryMonitor and analyze AI application performance with real-time insights and enterprise controlmedium · 73%
- Arize PhoenixOpen-source platform for monitoring and evaluating language model applications in productionmedium · 51%
- OpikAn open-source platform for monitoring and evaluating AI applications and agent workflowslow · 29%
- Weights & Biases WeaveMonitoring and tracing for AI agents in production environmentslow · 25%
- AgentOpsMonitoring and observability platform for AI agents with cost tracking and performance debuggingmedium · 53%
Compare Traceloop
Side by side against other llm observability, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Traceloop, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 87 | 0.08 | 7.0 | ✓ |
| Security posture | 55 | 0.12 | 6.7 | ✓ |
| Integrations | 38 | 0.05 | 2.1 | ✓ |
| Stars | 0 | 0.05 | 0.0 | - |
| Dependent projects | 0 | 0.05 | 0.0 | - |
| Development activity | 0 | 0.14 | 0.0 | - |
| Release cadence | 0 | 0.08 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 60% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Pricing model: pay_per_10k_traces · Architecture model: managed_cloud_saas · Mit or apache permissive oss license: Yes · Production ab testing of system prompts: Yes · Token cost and latency waterfall charts: Yes · Prompt playground and in dashboard replay: Yes | mediumsource · 2026-10-12 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 20 | mediumsource · 2026-09-10 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |
Pricing
Security
Is Traceloop the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Traceloop against the rest of the llm observability we index, using the same dated evidence weighted your way.
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