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---
title: Rate Limits
description: Configure automatic rate limit handling with exponential backoff, header-aware delays, and adaptive concurrency for LLM provider APIs.
sidebar_label: Rate Limits
sidebar_position: 15
---
# Rate Limits
Promptfoo automatically handles rate limits from LLM providers. When a provider returns HTTP 429 or similar rate limit errors, requests are automatically retried with exponential backoff.
## Automatic Handling
Rate limit handling is built into the evaluator and requires no configuration:
- **Automatic retry**: Failed requests are retried up to 3 times with exponential backoff by default (overridable per provider via `maxRetries`, including `0` to disable retries)
- **Header-aware delays**: Respects `retry-after` headers from providers
- **Adaptive concurrency**: Reduces concurrent requests when rate limits are hit
- **Per-provider isolation**: Each provider and API key has separate rate limit tracking
### Supported Headers
Promptfoo parses rate limit headers from major providers:
| Provider | Headers |
| ------------ | ---------------------------------------------------------------------------------------------------------------- |
| OpenAI | `x-ratelimit-remaining-requests`, `x-ratelimit-limit-requests`, `x-ratelimit-remaining-tokens`, `retry-after-ms` |
| Anthropic | `anthropic-ratelimit-requests-remaining`, `anthropic-ratelimit-tokens-remaining`, `retry-after` |
| Azure OpenAI | `x-ratelimit-remaining-requests`, `retry-after-ms`, `retry-after` |
| Generic | `retry-after`, `ratelimit-remaining`, `ratelimit-reset` |
### Transient Error Handling
Promptfoo automatically retries requests that fail with transient server errors:
| Status Code | Description | Retry Condition |
| ----------- | ------------------- | ---------------------------------------------------- |
| 502 | Bad Gateway | Status text contains "bad gateway" |
| 503 | Service Unavailable | Status text contains "service unavailable" |
| 504 | Gateway Timeout | Status text contains "gateway timeout" |
| 524 | A Timeout Occurred | Status text contains "timeout" (Cloudflare-specific) |
These errors are retried up to 3 times with exponential backoff (1s, 2s, 4s). The status text check ensures that permanent failures (like authentication errors that happen to use 502) are not retried.
### How Adaptive Concurrency Works
The scheduler uses AIMD (Additive Increase, Multiplicative Decrease) to optimize throughput:
1. When a rate limit is hit, concurrency is reduced by 50%
2. After sustained successful requests, concurrency increases by 1
3. When remaining quota drops below 10% (from headers), concurrency is proactively reduced
This allows you to set a higher `maxConcurrency` and let promptfoo find the optimal rate automatically.
## Configuration
### Concurrency
Control the maximum number of concurrent requests:
```yaml
evaluateOptions:
maxConcurrency: 10
```
Or via CLI:
```bash
promptfoo eval --max-concurrency 10
```
The adaptive scheduler will reduce this if rate limits are encountered, but cannot exceed your configured maximum.
### Fixed Delay
Add a fixed delay between requests (in addition to any rate limit backoff):
```yaml
evaluateOptions:
delay: 1000 # milliseconds
```
Or via CLI:
```bash
promptfoo eval --delay 1000
```
Or via environment variable:
```bash
PROMPTFOO_DELAY_MS=1000 promptfoo eval
```
### Backoff Configuration
Promptfoo has two retry layers:
1. **Provider-level retry** (scheduler): Retries `callApi()` with 1-second base backoff, up to 3 times by default. If a provider config sets `maxRetries`, the scheduler uses that value (including `0` to disable scheduler retries entirely).
2. **HTTP-level retry**: Retries failed HTTP requests. Defaults to 4 retries, or the provider's `maxRetries` when set.
When a provider config includes `maxRetries`, promptfoo propagates that value to both layers. Explicit per-call overrides (e.g. a provider that passes a specific `maxRetries` to `fetchWithRetries`) still take precedence. For direct `fetchWithProxy` calls, transient retries (502/503/504/524) are disabled when the provider sets `maxRetries: 0`.
Example — disable retries for a provider to fail fast on rate limits:
```yaml
providers:
- id: openai:chat:gpt-4.1-mini
config:
maxRetries: 0
```
Environment variables for the scheduler:
| Environment Variable | Description | Default |
| -------------------------------------- | ------------------------------------------ | -------- |
| `PROMPTFOO_DISABLE_ADAPTIVE_SCHEDULER` | Disable adaptive concurrency (use fixed) | false |
| `PROMPTFOO_MIN_CONCURRENCY` | Minimum concurrency (floor for adaptive) | 1 |
| `PROMPTFOO_SCHEDULER_QUEUE_TIMEOUT_MS` | Timeout for queued requests (0 to disable) | 300000ms |
Environment variables for HTTP-level retry:
| Environment Variable | Description | Default |
| ------------------------------ | --------------------------------- | ------- |
| `PROMPTFOO_REQUEST_BACKOFF_MS` | Base delay for HTTP retry backoff | 5000ms |
| `PROMPTFOO_RETRY_5XX` | Retry on HTTP 500 errors | false |
Example:
```bash
PROMPTFOO_REQUEST_BACKOFF_MS=10000 PROMPTFOO_RETRY_5XX=true promptfoo eval
```
The scheduler's retry handles most rate limiting automatically. The HTTP-level retry provides additional resilience for network issues.
## Provider-Specific Notes
### OpenAI
OpenAI has separate rate limits for requests and tokens. The scheduler tracks both. For high-volume evaluations:
```yaml
evaluateOptions:
maxConcurrency: 20 # Scheduler will adapt down if needed
```
See [OpenAI troubleshooting](/docs/providers/openai#troubleshooting) for additional options.
### Anthropic
Anthropic rate limits are typically per-minute. The scheduler respects `retry-after` headers from the API.
### Custom Providers
Custom providers trigger automatic retry when errors contain:
- "429"
- "rate limit"
- "too many requests"
To provide retry timing, include headers in your response metadata:
```javascript
return {
output: 'response',
metadata: {
headers: {
'retry-after': '60', // seconds
},
},
};
```
## Debugging
To see rate limit events, enable debug logging:
```bash
LOG_LEVEL=debug promptfoo eval -c config.yaml
```
Events logged:
- `ratelimit:hit` - Rate limit encountered
- `ratelimit:learned` - Provider limits discovered from headers
- `ratelimit:warning` - Approaching rate limit threshold
- `concurrency:decreased` / `concurrency:increased` - Adaptive concurrency changes
- `request:retrying` - Retry in progress
## Best Practices
1. **Start with higher concurrency** - Set `maxConcurrency` to your desired throughput; the scheduler will adapt down if needed
2. **Use caching** - Enable [caching](/docs/configuration/caching) to avoid re-running identical requests
3. **Monitor debug logs** - If evaluations are slow, check for frequent `ratelimit:hit` events
4. **Consider provider tiers** - Higher API tiers typically have higher rate limits; the scheduler will automatically use whatever limits the provider allows
## Disabling Automatic Handling
The scheduler is always active but has minimal overhead. For fully deterministic behavior (e.g., in tests), use:
```yaml
evaluateOptions:
maxConcurrency: 1
delay: 1000
```
This ensures sequential execution with fixed delays between requests.