Fix bugs, clean code, bring everything up-to-date and standardize a bit more.
f748a3e
name: "Plan_Flow" | |
verbose: True | |
description: "ToDO: add description" | |
model_name: "gpt-4" | |
generation_parameters: | |
n: 1 | |
max_tokens: 3000 | |
temperature: 0.3 | |
model_kwargs: | |
top_p: 0.2 | |
frequency_penalty: 0 | |
presence_penalty: 0 | |
input_data_transformations: [] | |
input_keys: | |
- "problem_description" | |
- "input_description" | |
- "output_description" | |
- "io_examples_and_explanation" | |
output_data_transformations: | |
- _target_: flows.data_transformations.RegexFirstOccurrenceExtractor | |
regex: '(?<=Conceptual solution)([\s\S]*?)(?=\n\n# [A-Z]|\Z)' | |
regex_fallback: | |
- '(?<=Conceptual solution:)([\s\S]*?)(?=\n\n# [A-Z]|\Z)' | |
output_key: "plan" | |
strip: True | |
assert_unique: True | |
verbose: True | |
output_keys: | |
- "plan" | |
system_message_prompt_template: | |
_target_: langchain.PromptTemplate | |
template: |2- | |
Your goal is to provide a high-level conceptual solution that, if implemented, will solve a given competitive programming problem. | |
The user will specify the problem by providing you with: | |
- the problem statement | |
- input description | |
- output description | |
- example test cases | |
- (optional) explanation of the test cases | |
The proposed algorithm should be computationally efficient, logically correct and handle all corner cases. | |
The user will provide you with a task and an output format that you will strictly follow. | |
input_variables: [] | |
template_format: jinja2 | |
human_message_prompt_template: | |
_target_: langchain.PromptTemplate | |
template: "{{query}}" | |
input_variables: | |
- "query" | |
template_format: jinja2 | |
query_message_prompt_template: | |
_target_: langchain.PromptTemplate | |
template: |2- | |
# Problem statement | |
{{problem_description}} | |
# Input description | |
{{input_description}} | |
# Output description | |
{{output_description}} | |
{{io_examples_and_explanation}} | |
Return a high-level conceptual solution that would solve the problem. Be very concise, and do not provide code. | |
Reply in the following format: | |
# Conceptual solution | |
{{plan_placeholder}} | |
input_variables: | |
- "problem_description" | |
- "input_description" | |
- "output_description" | |
- "io_examples_and_explanation" | |
partial_variables: | |
plan_placeholder: "{{conceptual_solution}}" | |
template_format: jinja2 | |