Prismix
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Is Fireworks AI Down?

Check live Fireworks AI API status — inference endpoints, model availability, and rate limits. See recent incidents and set up free email alerts.

Fireworks AI live status

Fireworks AI — live status

Updated every 5 minutes. Full incident history at prismix.dev/service/fireworks.

Full status →

Quick check: is Fireworks AI down right now?

  1. Prismix: prismix.dev/service/fireworks — live status + 30-day uptime + incidents.
  2. API call: curl https://prismix.dev/api/v1/statuses | jq '.services[] | select(.id=="fireworks")'
  3. Direct test: curl https://api.fireworks.ai/inference/v1/models -H "Authorization: Bearer $FIREWORKS_API_KEY"

Monitor Fireworks AI programmatically

import openai

client = openai.OpenAI(
    api_key="YOUR_FIREWORKS_API_KEY",
    base_url="https://api.fireworks.ai/inference/v1",
)

# Health check: list models (fast, low cost)
try:
    models = client.models.list()
    print(f"Fireworks AI operational: {len(models.data)} models available")
except openai.APIStatusError as e:
    # 429 = rate limited, 503 = service degraded
    print(f"Fireworks AI issue: {e.status_code} — {e.message}")

Common causes of "Fireworks AI not working"

  • Wrong base URL or model ID format (404) — the correct base URL is https://api.fireworks.ai/inference/v1. Model IDs must use the full path format: accounts/fireworks/models/llama-v3p1-70b-instruct — bare names like llama-3-70b will return a 404. This is the single most common cause of failures.
  • Free tier rate limits (429) — free accounts are limited to 10 RPM and 600k tokens per day. The response includes a Retry-After header. Implement exponential backoff or upgrade at fireworks.ai/pricing.
  • FireFunction model overloaded — Fireworks' function-calling models (FireFunction-v2) run on separate infrastructure with different token costs. During peak load they may be degraded while standard text completion models remain healthy. Check model-specific latency at fireworks.ai/models before assuming a global outage.
  • Streaming response cut mid-generation — Fireworks applies safety filters that can terminate a streaming response partway through without sending an explicit stop reason. Unlike other providers, the stream simply closes. Accumulate chunks before displaying to users and handle incomplete responses gracefully in your UI.
  • Speculative decoding draft model mismatch — Fireworks supports speculative decoding via the draft_model parameter to speed up inference. Setting it to an incompatible model produces a cryptic error. Remove draft_model from your request to fall back to standard inference.
  • Context length exceeds model limit — Fireworks hosts models with context windows ranging from 4k to 128k tokens. The error message will say "max_tokens + prompt_tokens exceeds context length". Check the specific model's context limit at fireworks.ai/models and truncate your prompt or switch to a longer-context model.

Set up free email alerts for Fireworks AI

  1. 1

    Sign in

    Go to prismix.dev/sign-in — email OTP or GitHub sign-in.

  2. 2

    Star Fireworks AI

    On prismix.dev/service/fireworks, click the ☆ star icon.

  3. 3

    Alerts are live

    You'll get an email within minutes of any status change.

🔔

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Full status dashboard: prismix.dev/status

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