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ThinkingSettings

Settings for extended thinking in Anthropic models.

See:

ThinkingSettings​

info

ThinkingSettings is defined beneath the following ancestor nodes in the YAML structure:

Below are the properties for the ThinkingSettings. Each property links to the specific details section further down in this page.

PropertyDefaultTypeRequiredDescription
enabledTruebooleanNoWhether to enable extended thinking
budget_tokensintegerYesMaximum number of tokens to allocate for thinking (minimum: 1024)

Property Details​

OttoAgent​

Model for a custom Otto agent.

PropertyDefaultTypeRequiredDescription
idstring
NoUnique identifier for the agent
namestringYesThe name of the agent
extendsstring
NoAgent ID or name to inherit from
instructionsstringYesThe instructions for the agent
mcp_serversarray[string]
NoThe MCP servers to use for the agent
modelAny of:
  string
  ProviderModel
NoThe model to use for the agent
model_settingsOttoModelSettings
NoThe model settings for the agent
toolsarray[string]
NoThe tools to use for the agent
max_turnsinteger
NoMaximum number of turns for the agent
jinjaFalseboolean
NoWhether to render with Jinja templating

OttoModelSettings​

Model for the model settings for an Otto agent.

PropertyDefaultTypeRequiredDescription
reasoningstring
NoReasoning effort level for reasoning models (e.g., o1, o3). For OpenAI models: 'minimal', 'low', 'medium', 'high'. For Anthropic models via LiteLLM, this enables extended thinking and sets thinking budget tokens. 'low', 'medium', 'high' maps to budget tokens: low=1024, medium=2048, high=4096. Note: Starting from Claude Opus 4.5, reasoning_effort is separate from thinking.budget_tokens. Both can be used together - reasoning_effort affects all tokens (text, tools, thinking), while thinking.budget_tokens sets a specific maximum for extended thinking tokens.
thinkingThinkingSettings
NoExtended thinking settings for Anthropic models. Configures the thinking.type and thinking.budget_tokens parameters. Only applicable to Anthropic models.
temperaturenumber
NoModel temperature setting. For Anthropic models, must be set to either None or 1.