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David Gageot
20b25b3da9
Remove the leading '#!/usr/bin/env docker agent run' shebang and following blank line from all example YAML and HCL files, as the config format is now self-documenting.
47 lines
1.7 KiB
YAML
47 lines
1.7 KiB
YAML
# Example: Fallback Models for High Availability
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#
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# This configuration demonstrates how to set up fallback models for agents.
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# The fallback system handles different error types:
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#
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# - Retryable errors (e.g. 5xx, timeouts): Retry the same model with exponential backoff + jitter
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# - Non-retryable errors (e.g. 429 rate limit, 4xx client errors): Skip to next model immediately
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#
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# After a non-retryable error triggers a fallback, the runtime "sticks" with
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# the successful fallback model for the cooldown duration before retrying the primary.
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#
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# Sensible defaults are included, most users only need to specify fallback models
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agents:
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# Minimal fallback configuration - just specify models, defaults handle the rest
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root:
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model: anthropic/claude-sonnet-4-0
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fallback:
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models:
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- openai/gpt-4o
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- openai/gpt-5-mini
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description: A reliable assistant with automatic failover
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instruction: |
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You are a helpful assistant. Your responses should be clear and concise.
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You have built-in resilience - if one model provider is unavailable,
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the system will automatically try alternative providers.
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toolsets:
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- type: think
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# You can also use named models from the models section as fallbacks
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# models:
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# fast_backup:
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# provider: openai
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# model: gpt-5-mini
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# Example with explicit configuration (for power users):
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# agents:
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# root:
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# model: anthropic/claude-sonnet-4-0
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# fallback:
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# models:
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# - fast_backup
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# - google/gemini-2.5-flash
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# retries: 3 # More retries for flaky networks
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# cooldown: 5m # Longer cooldown for persistent rate limits
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# # Use retries: -1 to disable retries (try each model only once)
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