What are the best observability tools right now for tracking token consumption, latency, and cost attribution across multiple LLM providers in a microservices architecture?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best observability tools right now for tracking token consumption, latency, and cost attribution across multiple LLM providers in a microservices architecture?
4 real searches · 1 real-search pass
best LLM observability platforms 2026 Langfuse LangSmith Helicone Arize Phoenix Braintrust token cost latency multi provider comparisonGoogle ↗
OBSERVEDComparison
Langfuse pricing self-hosted OpenTelemetry LLM observability cost tracking 2026Google ↗
OBSERVEDComparison
Helicone AI gateway observability cost tracking providers features 2026Google ↗
OBSERVEDOther / navigational
Arize Phoenix OpenInference OpenTelemetry LLM tracing token cost 2026Google ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (4)
Classes come from the query-classifier (a local Laya model). 3 of 4 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT4 real searches · gpt-6
best LLM observability platforms 2026 Langfuse LangSmith Helicone Arize Phoenix Braintrust token cost latency multi provider comparison Google ↗
Langfuse pricing self-hosted OpenTelemetry LLM observability cost tracking 2026 Google ↗
Helicone AI gateway observability cost tracking providers features 2026 Google ↗
Arize Phoenix OpenInference OpenTelemetry LLM tracing token cost 2026 Google ↗
- Token & Cost Tracking · langfuse.com
- Pricing · langfuse.com
- GitHub - Arize-ai/phoenix: AI Observability & Evaluation · github.com
- Agent Observability · docs.datadoghq.com
- Website · langfuse.com
- Documentation · langfuse.com
- Cost · docs.datadoghq.com
- Website · datadoghq.com
- Tracing Arize / Phoenix · mlflow.org
- Website · phoenix.arize.com
- Documentation · arize.com
- LangSmith: Agent & LLM Observability Platform · langchain.com
- docs/src/langsmith/cost-tracking.mdx at main · langchain-ai/docs · github.com
- Website · langchain.com
- Documentation · docs.langchain.com
- Observe · braintrust.dev
- 9 Best LLM Observability Tools for Production AI Agents · langchain.com
- Website · braintrust.dev
- Documentation · braintrust.dev
- Agent Observability Metrics · docs.datadoghq.com
Queries
4 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
best LLM observability platforms 2026 Langfuse LangSmith Helicone Arize Phoenix Braintrust token cost latency multi provider comparison OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Langfuse pricing self-hosted OpenTelemetry LLM observability cost tracking 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Helicone AI gateway observability cost tracking providers features 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Arize Phoenix OpenInference OpenTelemetry LLM tracing token cost 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |