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CHANGES - Add --thinking flag to set reasoning level cross-vendors - Map Anthropic thinking levels and token budgets appropriately - Translate OpenAI reasoning effort from thinking levels - Propagate Thinking through ChatOptions, server, and dry-run output - Update zsh, bash, fish completions with thinking choices - Expand suggest_pattern docs with categories, workflows, usage examples - Remove outdated suggest_pattern user files to avoid duplication - Add VSCode dictionary terms: Anki, DMARC, wireframes - Extend tests to include Thinking defaults in ChatOptions
YAML Configuration Support
Overview
Fabric now supports YAML configuration files for commonly used options. This allows users to persist settings and share configurations across multiple runs.
Usage
Use the --config flag to specify a YAML configuration file:
fabric --config ~/.config/fabric/config.yaml "Tell me about APIs"
Configuration Precedence
- CLI flags (highest priority)
- YAML config values
- Default values (lowest priority)
Supported Configuration Options
# Model selection
model: gpt-4
modelContextLength: 4096
# Model parameters
temperature: 0.7
topp: 0.9
presencepenalty: 0.0
frequencypenalty: 0.0
seed: 42
# Pattern selection
pattern: analyze # Use pattern name or filename
# Feature flags
stream: true
raw: false
Rules and Behavior
- Only long flag names are supported in YAML (e.g.,
temperaturenot-t) - CLI flags always override YAML values
- Unknown YAML declarations are ignored
- If a declaration appears multiple times in YAML, the last one wins
- The order of YAML declarations doesn't matter
Type Conversions
The following string-to-type conversions are supported:
- String to number:
"42"→42 - String to float:
"42.5"→42.5 - String to boolean:
"true"→true
Example Config
# ~/.config/fabric/config.yaml
model: gpt-4
temperature: 0.8
pattern: analyze
stream: true
topp: 0.95
presencepenalty: 0.1
frequencypenalty: 0.2
CLI Override Example
# Override temperature from config
fabric --config ~/.config/fabric/config.yaml --temperature 0.9 "Query"