diff --git a/.gitignore b/.gitignore index 36b36ef..8df5298 100644 --- a/.gitignore +++ b/.gitignore @@ -13,6 +13,8 @@ __pycache__/ build/ develop-eggs/ dist/ +agent_workspace + downloads/ eggs/ .eggs/ diff --git a/agent_workspace/General-Knowledge-Agent_state.json.json b/agent_workspace/General-Knowledge-Agent_state.json.json deleted file mode 100644 index c64aebd..0000000 --- a/agent_workspace/General-Knowledge-Agent_state.json.json +++ /dev/null @@ -1,620 +0,0 @@ -{ - "agent_id": "d78865faca274dcfbd772862f6a29daf", - "id": "f0f563a2a0c8453c9aba2906827e5cd4", - "llm": { - "name": "OpenAIChatLLM", - "doc": null - }, - "template": null, - "max_loops": 1, - "stopping_condition": null, - "loop_interval": 0, - "retry_attempts": 3, - "retry_interval": 1, - "task": null, - "stopping_token": "", - "interactive": false, - "dashboard": false, - "return_history": false, - "dynamic_temperature_enabled": true, - "dynamic_loops": false, - "user_name": "swarms_corp", - "context_length": 200000, - "sop": null, - "sop_list": null, - "tools": null, - "system_prompt": "You are a helpful assistant that answers general knowledge questions accurately and concisely.", - "agent_name": "General-Knowledge-Agent", - "agent_description": null, - "saved_state_path": "General-Knowledge-Agent_state.json", - "autosave": true, - "response_filters": [], - "self_healing_enabled": false, - "code_interpreter": false, - "multi_modal": null, - "pdf_path": null, - "list_of_pdf": null, - "tokenizer": "", - "long_term_memory": null, - "preset_stopping_token": false, - "traceback": null, - "traceback_handlers": null, - "streaming_on": false, - "docs": null, - "docs_folder": null, - "verbose": true, - "parser": null, - "best_of_n": null, - "callback": null, - "metadata": null, - "callbacks": null, - "logger_handler": "", - "search_algorithm": null, - "logs_to_filename": null, - "evaluator": null, - "stopping_func": null, - "custom_loop_condition": null, - "sentiment_threshold": null, - "custom_exit_command": "exit", - "sentiment_analyzer": null, - "limit_tokens_from_string": null, - "tool_schema": null, - "output_type": "string", - "function_calling_type": "json", - "output_cleaner": null, - "function_calling_format_type": "OpenAI", - "list_base_models": null, - "metadata_output_type": "json", - "state_save_file_type": "json", - "chain_of_thoughts": false, - "algorithm_of_thoughts": false, - "tree_of_thoughts": false, - "tool_choice": "auto", - "execute_tool": false, - "planning": false, - "planning_prompt": null, - "custom_planning_prompt": null, - "rules": null, - "custom_tools_prompt": null, - "memory_chunk_size": 2000, - "agent_ops_on": false, - "log_directory": null, - "tool_system_prompt": "\n\n\n You've been granted tools to assist users by always providing outputs in JSON format for tool usage. \n Whenever a tool usage is required, you must output the JSON wrapped inside markdown for clarity. \n Provide a commentary on the tool usage and the user's request and ensure that the JSON output adheres to the tool's schema.\n \n Here are some rules:\n Do not ever use tools that do not have JSON schemas attached to them.\n Do not use tools that you have not been granted access to.\n Do not use tools that are not relevant to the task at hand.\n Do not use tools that are not relevant to the user's request.\n \n \n Here are the guidelines you must follow:\n\n 1. **Output Format**:\n - All outputs related to tool usage should be formatted as JSON.\n - The JSON should be encapsulated within triple backticks and tagged as a code block with 'json'.\n\n 2. **Schema Compliance**:\n - Ensure that the JSON output strictly follows the provided schema for each tool.\n - Each tool's schema will define the structure and required fields for the JSON output.\n\n 3. **Schema Example**:\n If a tool named `example_tool` with a schema requires `param1` and `param2`, your response should look like:\n ```json\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"example_tool\",\n \"parameters\": {\n \"param1\": 123,\n \"param2\": \"example_value\"\n }\n }\n }\n ```\n\n 4. **Error Handling**:\n - If there is an error or the information provided by the user is insufficient to generate a valid JSON, respond with an appropriate error message in JSON format, also encapsulated in markdown.\n\n Remember, clarity and adherence to the schema are paramount. Your primary goal is to ensure the user receives well-structured JSON outputs that align with the tool's requirements.\n\n ---\n\n Here is the format you should always follow for your responses involving tool usage:\n\n ```json\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"\",\n \"parameters\": {\n \"param1\": \"\",\n \"param2\": \"\"\n }\n }\n }\n ```\n\n Please proceed with your task accordingly.\n\n ", - "max_tokens": 4096, - "frequency_penalty": 0.0, - "presence_penalty": 0.0, - "temperature": 0.1, - "workspace_dir": "agent_workspace", - "timeout": null, - "created_at": 1732071563.173297, - "return_step_meta": false, - "tags": null, - "use_cases": null, - "name": "General-Knowledge-Agent", - "description": null, - "agent_output": "", - "step_pool": [], - "print_every_step": false, - "time_created": "2024-11-19 18:59:23", - "data_memory": null, - "load_yaml_path": null, - "auto_generate_prompt": false, - "rag_every_loop": false, - "plan_enabled": false, - "artifacts_on": false, - "artifacts_output_path": null, - "artifacts_file_extension": null, - "device": "cpu", - "all_cores": true, - "device_id": 0, - "scheduled_run_date": null, - "short_memory": [ - { - "role": "System: ", - "content": "You are a helpful assistant that answers general knowledge questions accurately and concisely.", - "timestamp": "2024-11-19 18:59:27" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:27" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:27" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:27" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:27" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:27" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe chemical symbol for gold is Au.\n\nThe Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:27" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe chemical symbol for gold is Au.\n\nThe Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe chemical symbol for gold is Au.\n\nThe Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "General-Knowledge-Agent", - "content": "swarms_corp: The capital of France is Paris.\n\nswarms_corp: Romeo and Juliet was written by William Shakespeare.\n\nswarms_corp: The largest planet in our solar system is Jupiter.\n\nswarms_corp: The chemical symbol for gold is Au.\n\nswarms_corp: The Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.\n\nThe capital of France is Paris.", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "General-Knowledge-Agent", - "content": "The Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:28" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.\n\nRomeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.\n\nThe capital of France is Paris.\n\nThe Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.\n\nThe capital of France is Paris.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "General-Knowledge-Agent: Romeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "General-Knowledge-Agent", - "content": "The Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:29" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "The Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "General-Knowledge-Agent", - "content": "Romeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:30" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe Mona Lisa was painted by Leonardo da Vinci.\n\nThe chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe Mona Lisa was painted by Leonardo da Vinci.\n\nThe chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe Mona Lisa was painted by Leonardo da Vinci.\n\nThe chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe largest planet in our solar system is Jupiter.\n\nThe Mona Lisa was painted by Leonardo da Vinci.\n\nThe chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:31" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe chemical symbol for gold is Au.\n\nThe Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.\n\nRomeo and Juliet was written by William Shakespeare.\n\nThe chemical symbol for gold is Au.\n\nThe Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.\n\nRomeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:32" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "General-Knowledge-Agent", - "content": "The Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.\n\nRomeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "What is the capital of France?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "swarms_corp", - "content": "What is the largest planet in our solar system?", - "timestamp": "2024-11-19 18:59:33" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "swarms_corp", - "content": "What is the chemical symbol for gold?", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "General-Knowledge-Agent", - "content": "The capital of France is Paris.\n\nRomeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "General-Knowledge-Agent", - "content": "The Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "General-Knowledge-Agent", - "content": "The largest planet in our solar system is Jupiter.", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "swarms_corp", - "content": "Who wrote Romeo and Juliet?", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "swarms_corp", - "content": "Who painted the Mona Lisa?", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "General-Knowledge-Agent", - "content": "The chemical symbol for gold is Au.", - "timestamp": "2024-11-19 18:59:34" - }, - { - "role": "General-Knowledge-Agent", - "content": "Romeo and Juliet was written by William Shakespeare.", - "timestamp": "2024-11-19 18:59:35" - }, - { - "role": "General-Knowledge-Agent", - "content": "Romeo and Juliet was written by William Shakespeare. The Mona Lisa was painted by Leonardo da Vinci.", - "timestamp": "2024-11-19 18:59:35" - } - ], - "feedback": [], - "executor": "" -} \ No newline at end of file diff --git a/agent_workspace/error.txt b/agent_workspace/error.txt deleted file mode 100644 index e69de29..0000000 diff --git a/agent_workspace/prompts/prompt-id-4b79c75af4aa4d5a8bdace72b94b13ba.json b/agent_workspace/prompts/prompt-id-4b79c75af4aa4d5a8bdace72b94b13ba.json deleted file mode 100644 index 0b47065..0000000 --- a/agent_workspace/prompts/prompt-id-4b79c75af4aa4d5a8bdace72b94b13ba.json +++ /dev/null @@ -1 +0,0 @@ -{"id": "4b79c75af4aa4d5a8bdace72b94b13ba", "name": "openai-prompt-generator-optimizer-prompt", "description": "Generate and or optimize existing prompts", "content": "Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\n\n# Guidelines\n\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\n - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\n - Conclusion, classifications, or results should ALWAYS appear last.\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\n - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\n - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\n - JSON should never be wrapped in code blocks (```) unless explicitly requested.\n\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \"---\")\n\n\n# Instructions\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\n\n[Additional details as needed.]\n\n[Optional sections with headings or bullet points for detailed steps.]\n\n# Steps [optional]\n\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\n\n# Output Format\n\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] [Only utilize markdown unless mentioned otherwise]\n\n# Examples [optional]\n\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\n\n# Notes [optional]\n\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]", "created_at": "2024-11-19 18:54:56", "last_modified_at": "2024-11-19 18:54:56", "edit_count": 0, "edit_history": [], "autosave": true, "autosave_folder": "prompts", "auto_generate_prompt": false, "parent_folder": "agent_workspace", "llm": null} \ No newline at end of file diff --git a/agent_workspace/prompts/prompt-id-4bb968f956f64a15ad06d0063fc69890.json b/agent_workspace/prompts/prompt-id-4bb968f956f64a15ad06d0063fc69890.json deleted file mode 100644 index ec08b9e..0000000 --- a/agent_workspace/prompts/prompt-id-4bb968f956f64a15ad06d0063fc69890.json +++ /dev/null @@ -1 +0,0 @@ -{"id": "4bb968f956f64a15ad06d0063fc69890", "name": "openai-prompt-generator-optimizer-prompt", "description": "Generate and or optimize existing prompts", "content": "Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\n\n# Guidelines\n\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\n - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\n - Conclusion, classifications, or results should ALWAYS appear last.\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\n - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\n - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\n - JSON should never be wrapped in code blocks (```) unless explicitly requested.\n\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \"---\")\n\n\n# Instructions\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\n\n[Additional details as needed.]\n\n[Optional sections with headings or bullet points for detailed steps.]\n\n# Steps [optional]\n\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\n\n# Output Format\n\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] [Only utilize markdown unless mentioned otherwise]\n\n# Examples [optional]\n\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\n\n# Notes [optional]\n\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]", "created_at": "2024-11-19 18:57:00", "last_modified_at": "2024-11-19 18:57:00", "edit_count": 0, "edit_history": [], "autosave": true, "autosave_folder": "prompts", "auto_generate_prompt": false, "parent_folder": "agent_workspace", "llm": null} \ No newline at end of file diff --git a/agent_workspace/prompts/prompt-id-5f558675840546d3bf9a5f0cc06f3d37.json b/agent_workspace/prompts/prompt-id-5f558675840546d3bf9a5f0cc06f3d37.json deleted file mode 100644 index f75a7fc..0000000 --- a/agent_workspace/prompts/prompt-id-5f558675840546d3bf9a5f0cc06f3d37.json +++ /dev/null @@ -1 +0,0 @@ -{"id": "5f558675840546d3bf9a5f0cc06f3d37", "name": "openai-prompt-generator-optimizer-prompt", "description": "Generate and or optimize existing prompts", "content": "Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\n\n# Guidelines\n\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\n - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\n - Conclusion, classifications, or results should ALWAYS appear last.\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\n - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\n - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\n - JSON should never be wrapped in code blocks (```) unless explicitly requested.\n\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \"---\")\n\n\n# Instructions\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\n\n[Additional details as needed.]\n\n[Optional sections with headings or bullet points for detailed steps.]\n\n# Steps [optional]\n\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\n\n# Output Format\n\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] [Only utilize markdown unless mentioned otherwise]\n\n# Examples [optional]\n\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\n\n# Notes [optional]\n\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]", "created_at": "2024-11-19 18:59:22", "last_modified_at": "2024-11-19 18:59:22", "edit_count": 0, "edit_history": [], "autosave": true, "autosave_folder": "prompts", "auto_generate_prompt": false, "parent_folder": "agent_workspace", "llm": null} \ No newline at end of file diff --git a/agent_workspace/prompts/prompt-id-85aa0c957d974681b652f263948096ac.json b/agent_workspace/prompts/prompt-id-85aa0c957d974681b652f263948096ac.json deleted file mode 100644 index 636ab7e..0000000 --- a/agent_workspace/prompts/prompt-id-85aa0c957d974681b652f263948096ac.json +++ /dev/null @@ -1 +0,0 @@ -{"id": "85aa0c957d974681b652f263948096ac", "name": "openai-prompt-generator-optimizer-prompt", "description": "Generate and or optimize existing prompts", "content": "Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\n\n# Guidelines\n\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\n - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\n - Conclusion, classifications, or results should ALWAYS appear last.\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\n - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\n - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\n - JSON should never be wrapped in code blocks (```) unless explicitly requested.\n\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \"---\")\n\n\n# Instructions\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\n\n[Additional details as needed.]\n\n[Optional sections with headings or bullet points for detailed steps.]\n\n# Steps [optional]\n\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\n\n# Output Format\n\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] [Only utilize markdown unless mentioned otherwise]\n\n# Examples [optional]\n\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\n\n# Notes [optional]\n\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]", "created_at": "2024-11-19 18:57:40", "last_modified_at": "2024-11-19 18:57:40", "edit_count": 0, "edit_history": [], "autosave": true, "autosave_folder": "prompts", "auto_generate_prompt": false, "parent_folder": "agent_workspace", "llm": null} \ No newline at end of file diff --git a/agent_workspace/prompts/prompt-id-9629ac31dd9b40198068712181a8be77.json b/agent_workspace/prompts/prompt-id-9629ac31dd9b40198068712181a8be77.json deleted file mode 100644 index 4911581..0000000 --- a/agent_workspace/prompts/prompt-id-9629ac31dd9b40198068712181a8be77.json +++ /dev/null @@ -1 +0,0 @@ -{"id": "9629ac31dd9b40198068712181a8be77", "name": "openai-prompt-generator-optimizer-prompt", "description": "Generate and or optimize existing prompts", "content": "Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\n\n# Guidelines\n\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\n - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\n - Conclusion, classifications, or results should ALWAYS appear last.\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\n - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\n - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\n - JSON should never be wrapped in code blocks (```) unless explicitly requested.\n\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \"---\")\n\n\n# Instructions\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\n\n[Additional details as needed.]\n\n[Optional sections with headings or bullet points for detailed steps.]\n\n# Steps [optional]\n\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\n\n# Output Format\n\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] [Only utilize markdown unless mentioned otherwise]\n\n# Examples [optional]\n\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\n\n# Notes [optional]\n\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]", "created_at": "2024-11-19 18:55:21", "last_modified_at": "2024-11-19 18:55:21", "edit_count": 0, "edit_history": [], "autosave": true, "autosave_folder": "prompts", "auto_generate_prompt": false, "parent_folder": "agent_workspace", "llm": null} \ No newline at end of file diff --git a/agent_workspace/prompts/prompt-id-ef68709d51354f63b8dff8e2f7fda0cb.json b/agent_workspace/prompts/prompt-id-ef68709d51354f63b8dff8e2f7fda0cb.json deleted file mode 100644 index a1f16e3..0000000 --- a/agent_workspace/prompts/prompt-id-ef68709d51354f63b8dff8e2f7fda0cb.json +++ /dev/null @@ -1 +0,0 @@ -{"id": "ef68709d51354f63b8dff8e2f7fda0cb", "name": "openai-prompt-generator-optimizer-prompt", "description": "Generate and or optimize existing prompts", "content": "Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\n\n# Guidelines\n\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\n - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\n - Conclusion, classifications, or results should ALWAYS appear last.\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\n - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\n - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\n - JSON should never be wrapped in code blocks (```) unless explicitly requested.\n\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \"---\")\n\n\n# Instructions\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\n\n[Additional details as needed.]\n\n[Optional sections with headings or bullet points for detailed steps.]\n\n# Steps [optional]\n\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\n\n# Output Format\n\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] [Only utilize markdown unless mentioned otherwise]\n\n# Examples [optional]\n\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\n\n# Notes [optional]\n\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]", "created_at": "2024-11-19 19:08:51", "last_modified_at": "2024-11-19 19:08:51", "edit_count": 0, "edit_history": [], "autosave": true, "autosave_folder": "prompts", "auto_generate_prompt": false, "parent_folder": "agent_workspace", "llm": null} \ No newline at end of file diff --git a/agent_workspace/prompts/prompt-id-fd2e5a1835d8467484af0c1c73e4878b.json b/agent_workspace/prompts/prompt-id-fd2e5a1835d8467484af0c1c73e4878b.json deleted file mode 100644 index b4498e1..0000000 --- a/agent_workspace/prompts/prompt-id-fd2e5a1835d8467484af0c1c73e4878b.json +++ /dev/null @@ -1 +0,0 @@ -{"id": "fd2e5a1835d8467484af0c1c73e4878b", "name": "openai-prompt-generator-optimizer-prompt", "description": "Generate and or optimize existing prompts", "content": "Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\n\n# Guidelines\n\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\n - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\n - Conclusion, classifications, or results should ALWAYS appear last.\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\n - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\n - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\n - JSON should never be wrapped in code blocks (```) unless explicitly requested.\n\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \"---\")\n\n\n# Instructions\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\n\n[Additional details as needed.]\n\n[Optional sections with headings or bullet points for detailed steps.]\n\n# Steps [optional]\n\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\n\n# Output Format\n\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] [Only utilize markdown unless mentioned otherwise]\n\n# Examples [optional]\n\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\n\n# Notes [optional]\n\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]", "created_at": "2024-11-19 19:05:03", "last_modified_at": "2024-11-19 19:05:03", "edit_count": 0, "edit_history": [], "autosave": true, "autosave_folder": "prompts", "auto_generate_prompt": false, "parent_folder": "agent_workspace", "llm": null} \ No newline at end of file