brain_server/langgraph/agent_prompts.py

"""Prompts ??? ???? (Arabic + short English example)."""
import logging

logger = logging.getLogger("kapo.prompts")

PLANNER_PROMPT = """
[Planner Agent]
??? ????? ?? ????? ???? ???????? ??? ??? ??????? JSON.

??????? (JSON Schema):
{
  "request_id": "str",
  "user_input": "str",
  "context": {"...": "..."}
}

??????? ??????? (JSON Schema):
{
  "steps": [
    {"id": "str", "action": "str", "tool_hint": "str", "files": {}, "env": {}}
  ],
  "assumptions": ["..."]
}

???? ????:
Input: {"request_id":"r1","user_input":"??? ????","context":{}}
Output: {"steps":[{"id":"s1","action":"analyze","tool_hint":"python"}],"assumptions":[]}

English short example:
Input: {"request_id":"r1","user_input":"Summarize logs"}
Output: {"steps":[{"id":"s1","action":"summarize","tool_hint":"python"}]}
"""

REASONING_PROMPT = """
[Reasoning Agent]
??? ????? ???? ??????? ???????.

Input Schema:
{"user_input":"str","plan":{"steps":[...]}}

Output Schema:
{"rationale":"str","risks":["..."],"notes":"str"}
"""

TOOL_SELECTOR_PROMPT = """
[Tool Selector Agent]
???? ?????? ?????? ??? ????.

Input Schema:
{"step":{"id":"str","action":"str"},"tools":[{"tool_name":"str"}]}

Output Schema:
{"tool_name":"str","command":"str","reason":"str"}
"""

SUPERVISOR_PROMPT = """
[Supervisor Agent]
??? ????? ??????? ???? ?????? ?? ????? ?? ??????.

Input Schema:
{"results":[{"exit_code":0,"stdout":""}]}

Output Schema:
{"success":true,"report":"str","next_actions":["..."]}
"""

AUTO_HEAL_PROMPT = """
[Auto-Heal Agent]
??? ??????? ?????? ??????? ????? ???????.

Input Schema:
{"error_text":"str","context":{"step":{}}}

Output Schema:
{"suggested_fix":"str","reexecute":true}
"""

MEMORY_PROMPT = """
[Memory Agent]
??? ?? ??? ?????? ?? ??????? ?????? ????????.

Input Schema:
{"event":{...},"policy":"str"}

Output Schema:
{"store_short_term":true,"store_episodic":true,"keys":["..."]}
"""