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name: "PlanReflect_Flow"
description: |-2
Given a problem description, generate a plan, reflect on it and improve it until a message suggesting that the code seems correct or a maximum number of rounds is reached.
# ~~~ Input interface specification ~~~
input_interface:
- "problem_description"
- "input_description"
- "output_description"
- "io_examples_and_explanation"
# ~~~ Output interface specification ~~~
output_interface:
- "plan"
# ~~~ Flow specification ~~~
max_rounds: 4
early_exit_key: "end_of_interaction"
subflows_config:
PlanGenerator:
_target_: .CF_Plan.instantiate_from_default_config
PlanReflectCritic:
_target_: .FixedReply_PlanReflect.instantiate_from_default_config
### Topology specification (specifies how the sequence of messages will flow from one of the subflows to another)
topology:
# ~~~ Code Generator ~~~
- goal: "Generate/refine a plan."
### Input Interface
input_interface:
_target_: aiflows.interfaces.KeyInterface
additional_transformations:
- _target_: aiflows.data_transformations.KeyMatchInput
keys_to_rename:
plan_reflect_message: "query"
### Flow Specification
flow: PlanGenerator
### Output Interface
output_interface:
_target_: aiflows.interfaces.KeyInterface
additional_transformations:
- _target_: aiflows.data_transformations.RegexFirstOccurrenceExtractor
regex: '(?<=Conceptual solution)([\s\S]*?)(?=\n\n# [A-Z]|\Z)'
regex_fallback:
- '(?<=Conceptual solution:)([\s\S]*?)(?=\n\n# [A-Z]|\Z)'
input_key: "api_output"
output_key: "plan"
strip: True
assert_unique: True
- _target_: aiflows.data_transformations.EndOfInteraction
end_of_interaction_string: "Final answer"
input_key: "api_output"
output_key: "end_of_interaction"
- _target_: aiflows.data_transformations.PrintPreviousMessages
keys_to_select:
- "plan"
- "end_of_interaction"
### Reset flag
reset: false
- goal: "Generate a message that encourages reflection."
### Input Interface
input_interface:
_target_: aiflows.interfaces.KeyInterface
additional_transformations:
- _target_: aiflows.data_transformations.KeyMatchInput
### Flow Specification
flow: PlanReflectCritic
### Output Interface
output_interface:
_target_: aiflows.interfaces.KeyInterface
keys_to_rename:
fixed_reply: "plan_reflect_message"
### Reset flag
reset: true
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