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Dandy AI Framework
stratusadv/dandy
Home
Getting Started
Getting Started
What is Dandy
Read this First
Quick Start
Tutorial
Tutorial
01. Setup
02. Intel
03. Prompts
04. Bots
05. Recorder
06. Maps
07. Futures
08. Caching
09. Agents
10. Project Structure
11. Example Project
API Reference
API Reference
dandy
dandy
cache
cache
cache
decorators
exceptions
memory
memory
cache
decorators
sqlite
sqlite
cache
connection
decorators
utils
calculator
calculator
calculations
calculations
calculations
llm
llm
model_calculations
llm_calculator
cli
cli
cli
commands
commands
calculate_command
command
llm
llm
evaluate
evaluate
evaluate
intelligence
intelligence
prompts
prompts
prompt_evaluation_prompts
generate
generate
generate
intelligence
intelligence
prompts
prompts
generate_llm_bot_prompts
main
utils
conf
constants
core
core
config
config
config
connector
connector
connector
exceptions
exceptions
future
future
exceptions
future
path
path
tools
service
service
exceptions
service
singleton
typing
typing
registry
tools
typed_kwargs
typing
utils
default_settings
http
http
config
connector
exceptions
intel
mixin
service
url
intel
intel
exceptions
factory
field
field
annotation
generator
intel
typing
llm
llm
conf
config
config
config
ollama
openai
options
utils
exceptions
mixin
prompt
prompt
prompt
snippet
typing
utils
request
request
message
ollama
openai
request
service
service
prompts
recorder
service
tokens
tokens
utils
utils
processor
processor
agent
agent
agent
controller
exceptions
plan
plan
llm_plan
plan
task
task
llm_task
task
type_vars
prompts
recorder
service
strategy
bot
bot
bot
exceptions
service
controller
map
map
exceptions
intel
map
prompts
recorder
service
processor
recorder
strategy
recorder
recorder
decorators
events
exceptions
recorder
recording
renderer
renderer
html
json
markdown
renderer
utils
vision
vision
exceptions
mixin
service
service
service
Exceptions
Exceptions
Handling Errors
Roadmap
Roadmap
2025
2024
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evaluate
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dandy.cli.llm.evaluate