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67 lines
3.2 KiB
Python
67 lines
3.2 KiB
Python
memorize_config = {
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"memory_types": [
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"record",
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],
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"memory_type_prompts": {
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"record": {
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"objective": {
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"ordinal": 10,
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"prompt": "# Task Objective\nYou will be given a conversation between a user and an coding agent. Your goal is to extract detailed records for what are planed to do, and what have been done.",
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},
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"workflow": {
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"ordinal": 20,
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"prompt": "# Workflow\nRead through the conversation and extract records. You should expecially focus on:\n- What the user ask the agent to do\n- What plan does the agent suggest\n- What the agent has done",
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},
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"rules": {
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"ordinal": -1,
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"prompt": None,
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},
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"examples": {
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"ordinal": 60,
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"prompt": "# Example\n## Output\n<item>\n <memory>\n <content>The user ask the agent to generate a code example for fastapi</content>\n <categories>\n <category>todo</category>\n </categories>\n </memory>\n <memory>\n <content>The agent suggest to use the code example from the document</content>\n <categories>\n <category>todo</category>\n </categories>\n </memory>\n <memory>\n <content>The agent ask the user to specify the response type</content>\n <categories>\n <category>todo</category>\n </categories>\n </memory>\n</item>",
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},
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}
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},
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"memory_categories": [
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{
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"name": "todo",
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"description": "This file traces the latest status of the task. All records should be included in this file.",
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"target_length": None,
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"custom_prompt": {
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"objective": {
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"ordinal": 10,
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"prompt": "# Task Objective\nYou are a specialist in task management. You should update the markdown file to reflect the latest status of the task.",
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},
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"workflow": {
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"ordinal": 20,
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"prompt": "# Workflow\nRead through the existing markdown file and the new records. Then update the markdown file to reflect:\n- What existing tasks are completed\n- What new tasks are added\n- What tasks are still in progress",
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},
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"rules": {
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"ordinal": 30,
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"prompt": "# Rules\nFor each action-like record, explictly mark it as [Done] or [Todo].",
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},
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"examples": {
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"ordinal": 50,
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"prompt": "# Example\n## Output\n```markdown\n# Task\n## Task Objective\nThe user ask the agent to generate a code example for fastapi\n## Breakdown\n- [Done] The agent suggest to use the code example from the document\n- [Todo] The agent ask the user to specify the response type\n```",
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},
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},
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}
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],
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}
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retrieve_config = {
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"method": "rag",
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"route_intention": False,
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"sufficiency_check": False,
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"category": {
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"enabled": False,
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},
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"item": {
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"enabled": True,
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"top_k": 10,
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},
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"resource": {
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"enabled": False,
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},
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}
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