Complete Migration
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agent.json
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99
agent.json
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{
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"tweet_generator.generate.predict": {
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"traces": [],
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"train": [],
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"demos": [],
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"signature": {
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"instructions": "Generate or improve a tweet based on input text and detailed evaluation feedback with reasoning.",
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"fields": [
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{
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"prefix": "Input Text:",
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"description": "Original text or current tweet to improve"
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},
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{
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"prefix": "Current Tweet:",
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"description": "Current best tweet version (empty for first generation)"
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},
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{
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"prefix": "Previous Evaluation:",
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"description": "Previous evaluation with category-by-category reasoning and scores (empty for first generation)"
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},
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{
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"prefix": "Reasoning: Let's think step by step in order to",
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"description": "${reasoning}"
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},
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{
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"prefix": "Improved Tweet:",
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"description": "Generated or improved tweet text (max 280 characters)"
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}
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]
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},
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"lm": {
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"model": "openrouter/google/gemini-2.5-flash",
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"model_type": "chat",
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"cache": true,
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"num_retries": 3,
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"finetuning_model": null,
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"launch_kwargs": {},
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"train_kwargs": {},
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"temperature": 0.7,
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"max_tokens": 4096,
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"api_key": "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",
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"api_base": "https://openrouter.ai/api/v1"
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}
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},
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"tweet_evaluator.evaluate.predict": {
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"traces": [],
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"train": [],
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"demos": [],
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"signature": {
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"instructions": "Evaluate a tweet across multiple custom categories. For each category, provide detailed reasoning explaining the score, then assign a score. Ensure the tweet maintains the same meaning as the original text.",
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"fields": [
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{
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"prefix": "Original Text:",
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"description": "Original input text that started the optimization"
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},
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{
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"prefix": "Current Best Tweet:",
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"description": "Current best tweet version for comparison (empty for first evaluation)"
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},
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{
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"prefix": "Tweet Text:",
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"description": "Tweet text to evaluate"
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},
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{
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"prefix": "Categories:",
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"description": "Comma-separated list of evaluation category descriptions"
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},
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{
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"prefix": "Reasoning: Let's think step by step in order to",
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"description": "${reasoning}"
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},
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{
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"prefix": "Evaluations:",
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"description": "List of evaluations with category name, detailed reasoning, and score (1-9) for each category. Ensure the tweet conveys the same meaning as the original text."
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}
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]
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},
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"lm": {
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"model": "openrouter/openai/gpt-5",
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"model_type": "chat",
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"cache": true,
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"num_retries": 3,
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"finetuning_model": null,
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"launch_kwargs": {},
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"train_kwargs": {},
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"temperature": 1.0,
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"max_completion_tokens": 16000,
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"api_key": "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",
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"api_base": "https://openrouter.ai/api/v1"
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}
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},
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"metadata": {
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"dependency_versions": {
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"python": "3.13",
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"dspy": "3.0.3",
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"cloudpickle": "3.1"
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}
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}
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}
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