[feature] Add Configuration for Prompt Field and Enable Agent Generation #5

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2026-02-16T06:17:57-05:00

yindo commented

2026-02-16 06:17:57 -05:00

Originally created by @magicbrighter on GitHub (Apr 6, 2025).

Please consider adding a configuration option for the "prompt" field. This enhancement will allow us to generate code with the integration of an agent. This feature will improve functionality and provide more flexibility in code generation.

name: TranslationWorkflow
nodes:

name: text_input
prompt: "Receive user input text, ensure it is correctly formatted, and remove unnecessary whitespace."
name: text_analyzer
prompt: "Analyze the input text for language, theme, and complexity to determine the best translation strategy."
name: translator
prompt: "Based on the analysis results, translate the text from the source language to the target language, maintaining semantic accuracy and contextual consistency."
name: post_processor
prompt: "Polish the translation results by checking grammar, unifying terminology, and adjusting style to ensure the output text is natural and fluent."
name: human_review
prompt: "Conduct a human review of the translation to ensure the highest quality."
name: final_check
prompt: "Perform a final quality check to ensure all requirements are met."
edges:
from: start
to: text_input
from: text_input
to: text_analyzer
from: text_analyzer
to: translator
from: translator
condition: "if translation_quality >= 90"
paths:
- post_processor
- human_review
from: post_processor
to: final_check
from: human_review
to: final_check
from: final_check
condition: route_after_translation
paths: [end]

Originally created by @magicbrighter on GitHub (Apr 6, 2025). Please consider adding a configuration option for the "prompt" field. This enhancement will allow us to generate code with the integration of an agent. This feature will improve functionality and provide more flexibility in code generation. name: TranslationWorkflow nodes: - name: text_input prompt: "Receive user input text, ensure it is correctly formatted, and remove unnecessary whitespace." - name: text_analyzer prompt: "Analyze the input text for language, theme, and complexity to determine the best translation strategy." - name: translator prompt: "Based on the analysis results, translate the text from the source language to the target language, maintaining semantic accuracy and contextual consistency." - name: post_processor prompt: "Polish the translation results by checking grammar, unifying terminology, and adjusting style to ensure the output text is natural and fluent." - name: human_review prompt: "Conduct a human review of the translation to ensure the highest quality." - name: final_check prompt: "Perform a final quality check to ensure all requirements are met." edges: - from: __start__ to: text_input - from: text_input to: text_analyzer - from: text_analyzer to: translator - from: translator condition: "if translation_quality >= 90" paths: - post_processor - human_review - from: post_processor to: final_check - from: human_review to: final_check - from: final_check condition: route_after_translation paths: [__end__]

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Reference: langchain-ai/langgraph-builder#5