DownForAI

PromptFlow status: API, auth, latency & outage reports

PromptFlow is operational right now. DownForAI checks PromptFlow every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 24 min ago·1 surface
Probe-monitoredLow confidence
📚 Docs →
100.0%
24h Uptime
177ms
p50 Network Latency
404ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors PromptFlow via a single endpoint — PromptFlow. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 177 ms; p95: 404 ms.

PromptFlow has had no tracked outages since joining the DownForAI monitoring network. No community reports have been filed in the last 24 hours.

Data confidence: LowLast checked 24 min ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 389ms
Verified 24m ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if PromptFlow is not working for you.

0reports in the last 24 hours

Surface Health

PromptFlowOperational
HTTP 200p50 177ms24m ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about PromptFlow

No confirmed provider-side issue detected
DownForAI currently sees PromptFlow as operational based on available monitoring signals.
Signal source: public surface check · Monitoring confidence: Low
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

No incidents recorded in the past 30 days.

Reported symptoms

No user reports for PromptFlow in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Prompt flow is Microsoft's open-source toolkit for building, evaluating and deploying LLM flows, run locally or inside Azure AI Foundry. The toolkit itself has no service; failures are the model provider or the Azure deployment.

Community channels
What we monitor
Docs sitemicrosoft.github.io/promptflow
Azure AI Foundry runtimeWhen deployed there
Model providersAzure OpenAI and others
Ecosystem dependencies
Azure AI FoundryModel providers

Fallback alternatives

What to use if this service is down

You need a comparable toolkit
LangChain, Flowise or Dify (monitored on DownForAI) build and run LLM flows
Moderate effort

How we monitor

DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.

PromptFlow statusEmbed this status badgeREADME · docs ▾
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