CC_flows / CF_CodeCollab.yaml
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Add LC_code and make everything run again.
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name: "CodeCollab_Flow"
verbose: True
description: "ToDO: add description"
reset_generator_every_round: False
reset_critic_every_round: True
max_rounds: 2 # ToDO: To increase to 4
early_exit_key: "end_of_interaction"
input_data_transformations: []
input_keys:
- "problem_description"
- "input_description"
- "output_description"
- "io_examples_and_explanation"
output_data_transformations:
- _target_: flows.data_transformations.KeyRename
old_key2new_key:
raw_response.code: "code"
output_keys:
- "code"
subflows_config:
- _target_: ${oc.env:CC_flows_module}.CF_Code..instantiate_from_default_config
overrides:
name: "CodeGenerator"
model_name: "gpt-4"
human_message_prompt_template:
_target_: langchain.PromptTemplate
template: |2-
# Feedback on the last proposed solution
{{code_feedback}}
Consider the original problem statement, the last proposed solution and the provided feedback. Does the solution need to be updated? If so, provide the corrected version of the code in the following format:
```python
{{code_placeholder}}
```
otherwise, reply:
"Final answer."
input_variables:
- code_feedback
partial_variables:
code_placeholder: "{{python_code}}"
template_format: jinja2
default_human_input_keys:
- "code_feedback"
output_data_transformations:
- _target_: flows.data_transformations.RegexFirstOccurrenceExtractor
regex: '(?<=```python)([\s\S]*?)(?=```)'
regex_fallback: '(?<=```)([\s\S]*?)(?=```)'
input_key: "raw_response"
output_key: "code"
strip: True
assert_unique: True
verbose: True
- _target_: flows.data_transformations.EndOfInteraction
end_of_interaction_string: "Final answer"
output_key: "end_of_interaction"
verbose: True
output_keys:
- "code"
- "end_of_interaction"
- _target_: ${oc.env:CC_flows_module}.CF_CodeCritic.instantiate_from_default_config
overrides:
name: CodeCritic
output_data_transformations:
- _target_: flows.data_transformations.KeyRename
old_key2new_key:
raw_response: "code_feedback"