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switch to gemini model, update supabase_model managed agent query and update the flow (#10)
Browse files- .python-version +1 -1
- LLM/llm_models.py +11 -3
- LLM/models.py +2 -1
- UI/render_employee_card.py +3 -2
- agents/orchestrator_agent/orchestrator_agent.py +1 -1
- agents/supabase_agent/get_supabase_agent_prompt.py +2 -0
- agents/websearch_agent/get_web_search_agent.py +2 -2
- mcp_server/server.py +0 -25
- mcp_server/tools.py +0 -21
- models.py +7 -16
- pyproject.toml +2 -1
- response_sample.json +141 -161
- uv.lock +0 -0
.python-version
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@@ -1 +1 @@
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3.
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3.13
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LLM/llm_models.py
CHANGED
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@@ -3,10 +3,18 @@ from .models import LLMProviderType, LLMModelType
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from .llm_provider import LLMProvider
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context_compression_model = LLMProvider(LLMProviderType.OPENAI, LLMModelType.openai.gpt_5_1).get_model()
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metaprompting_model = LLMProvider(LLMProviderType.OPENAI, LLMModelType.openai.gpt_5_1).get_model()
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from .llm_provider import LLMProvider
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use_gemini = False
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base_provider = LLMProviderType.GEMINI if use_gemini else LLMProviderType.HF
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base_model = LLMModelType.gemini.gemini_2_5_pro if use_gemini else LLMModelType.open_source.deepseek_v3_terminus
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orchestrator_model = LLMProvider(base_provider, base_model).get_model()
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supabase_model = LLMProvider(base_provider, base_model).get_model()
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websearch_model = LLMProvider(base_provider, base_model).get_model()
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context_compression_model = LLMProvider(LLMProviderType.OPENAI, LLMModelType.openai.gpt_5_1).get_model()
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metaprompting_model = LLMProvider(LLMProviderType.OPENAI, LLMModelType.openai.gpt_5_1).get_model()
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LLM/models.py
CHANGED
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@@ -17,6 +17,7 @@ class AnthropicModel(str, Enum):
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class GeminiModel(str, Enum):
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gemini_2_5_flash = "gemini-2.5-flash"
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gemini_2_5_pro = "gemini-2.5-pro"
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@@ -29,7 +30,7 @@ class OSSModel(str, Enum):
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deepseek_r1 = "deepseek-ai/DeepSeek-R1"
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gpt_oss_120b = "openai/gpt-oss-120b"
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kimi_k2_thinking = "moonshotai/Kimi-K2-Thinking",
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class EnumNamespace:
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"""Proxy to expose Enum members as attribute-accessed .value strings."""
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class GeminiModel(str, Enum):
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gemini_3_pro_preview = "gemini-3-pro-preview"
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gemini_2_5_flash = "gemini-2.5-flash"
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gemini_2_5_pro = "gemini-2.5-pro"
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deepseek_r1 = "deepseek-ai/DeepSeek-R1"
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gpt_oss_120b = "openai/gpt-oss-120b"
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kimi_k2_thinking = "moonshotai/Kimi-K2-Thinking",
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qwen_3_coder = 'Qwen/Qwen3-Coder-480B-A35B-Instruct'
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class EnumNamespace:
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"""Proxy to expose Enum members as attribute-accessed .value strings."""
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UI/render_employee_card.py
CHANGED
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@@ -17,7 +17,8 @@ def _as_mapping(member: EmployeeTrainingPlan | Mapping[str, Any]) -> Mapping[str
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if hasattr(member, "model_dump"):
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return member.model_dump()
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return {
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"
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"skills_gaps": getattr(member, "skills_gaps", []),
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"training_plan": getattr(member, "training_plan", []),
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}
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@@ -108,7 +109,7 @@ def _render_training_plan(resources: Iterable[Mapping[str, Any]] | None) -> str:
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def render_employee_card(member: EmployeeTrainingPlan | Mapping[str, Any]) -> str:
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data = _as_mapping(member)
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name = html.escape(str(data.get("
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role = html.escape(str(data.get("role") or "Not provided"))
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skill_gap_html = _render_skill_gaps(data.get("skills_gaps"))
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if hasattr(member, "model_dump"):
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return member.model_dump()
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return {
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"employee_name": getattr(member, "employee_name", "Unknown employee"),
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"role": getattr(member, "role", "Unknown role"),
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"skills_gaps": getattr(member, "skills_gaps", []),
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"training_plan": getattr(member, "training_plan", []),
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}
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def render_employee_card(member: EmployeeTrainingPlan | Mapping[str, Any]) -> str:
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data = _as_mapping(member)
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name = html.escape(str(data.get("employee_name", "Unknown employee")))
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role = html.escape(str(data.get("role") or "Not provided"))
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skill_gap_html = _render_skill_gaps(data.get("skills_gaps"))
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agents/orchestrator_agent/orchestrator_agent.py
CHANGED
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@@ -19,7 +19,7 @@ metaprompting_agent = MetapromptingAgent()
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SUGGEST_METAPROMPT_IMPROVEMENTS = False
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@tool
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def final_answer_callback(project_id:
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"""
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Finalizes the training-plan analysis and hands structured data back to the app about the project, the team and the training plan.
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⚠️ This MUST be the last call. Do not call it before all skill gaps and training items are collected.
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SUGGEST_METAPROMPT_IMPROVEMENTS = False
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@tool
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def final_answer_callback(project_id: int, project_name: str, budget:int, deadline: str, status: str, team: List[EmployeeTrainingPlan]) -> AnalysisResult:
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"""
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Finalizes the training-plan analysis and hands structured data back to the app about the project, the team and the training plan.
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⚠️ This MUST be the last call. Do not call it before all skill gaps and training items are collected.
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agents/supabase_agent/get_supabase_agent_prompt.py
CHANGED
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@@ -62,6 +62,8 @@ Each returns:
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Therefore: NEVER recompute gap logic client-side unless strictly necessary.
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────────────────────────────────────
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WHEN TO SUGGEST NEW RPC
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────────────────────────────────────
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Therefore: NEVER recompute gap logic client-side unless strictly necessary.
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When executing a function, execute it like this: execute_sql(query=.....), don't pass the query directly, use keyword args.
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────────────────────────────────────
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WHEN TO SUGGEST NEW RPC
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────────────────────────────────────
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agents/websearch_agent/get_web_search_agent.py
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from smolagents import ToolCallingAgent,
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from LLM.llm_models import websearch_model
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if _web_search_agent is None:
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_web_search_agent = ToolCallingAgent(
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model=websearch_model,
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tools=[
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step_callbacks=step_callbacks,
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name="web_search_agent",
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description="An agent that searches for relevant online courses, certifications, and learning paths."
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from smolagents import ToolCallingAgent, DuckDuckGoSearchTool
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from LLM.llm_models import websearch_model
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if _web_search_agent is None:
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_web_search_agent = ToolCallingAgent(
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model=websearch_model,
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tools=[DuckDuckGoSearchTool()],
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step_callbacks=step_callbacks,
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name="web_search_agent",
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description="An agent that searches for relevant online courses, certifications, and learning paths."
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mcp_server/server.py
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from fastmcp import FastMCP
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from fastmcp.tools import Tool
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mcp = FastMCP('mcp_server')
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# Minimal MCP stdio server skeleton
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from .tools import (
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get_team_members,
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get_employees_skills,
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get_project_requirements,
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search_training_materials,
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save_training_plan,
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get_training_plans,
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)
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mcp.add_tool(Tool.from_function(get_team_members))
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mcp.add_tool(Tool.from_function(get_employees_skills))
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mcp.add_tool(Tool.from_function(get_project_requirements))
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mcp.add_tool(Tool.from_function(search_training_materials))
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mcp.add_tool(Tool.from_function(save_training_plan))
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mcp.add_tool(Tool.from_function(get_training_plans))
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def main():
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# Placeholder for stdio server loop
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mcp.run()
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if __name__ == "__main__":
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main()
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mcp_server/tools.py
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from typing import List, Dict, Any
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from models import TrainingPlan
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def get_team_members(project_id: str) -> List[str]:
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raise NotImplementedError("Implement this later")
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def get_employees_skills(employee_ids: List[str]) -> Dict[str, Dict[str, int]]:
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raise NotImplementedError("Implement this later")
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def get_project_requirements(project_id: str) -> Dict[str, int]:
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raise NotImplementedError("Implement this later")
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def save_training_plan(training_plan: TrainingPlan) -> None:
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raise NotImplementedError("Implement this later")
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def get_training_plans(project_id: str) -> List[TrainingPlan]:
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raise NotImplementedError("Implement this later")
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models.py
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from __future__ import annotations
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from pydantic import BaseModel
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from typing import List,
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from datetime import datetime
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class Employee(BaseModel):
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id: str
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name: str
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role: str
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class EmployeeSkillGap(BaseModel):
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employee_id: str
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skill: str
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class ProjectRequirement(BaseModel):
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project_id: str
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required_skills: Dict[str, int] # skill -> desired proficiency
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class TrainingMaterial(BaseModel):
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id: str
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cost: Optional[float] = None
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duration_hours: Optional[float] = None
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class TrainingPlan(BaseModel):
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id: Optional[str] = None
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project_id: str
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employees: List[str]
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recommended_materials: Dict[str, List[TrainingMaterial]]
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total_cost: Optional[float] = None
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created_at: Optional[datetime] = None
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class EmployeeTrainingPlan(BaseModel):
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role: str
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skills_gaps: List[EmployeeSkillGap]
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training_plan: List[TrainingMaterial]
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from __future__ import annotations
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from pydantic import BaseModel
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from typing import List, Optional
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class Employee(BaseModel):
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id: str
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name: str
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role: str
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department: str
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level: str
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project_id: List[str]
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hourly_rate: Optional[float] = None
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class EmployeeSkillGap(BaseModel):
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employee_id: str
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skill: str
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class TrainingMaterial(BaseModel):
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id: str
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cost: Optional[float] = None
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duration_hours: Optional[float] = None
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class EmployeeTrainingPlan(BaseModel):
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employee_name: str
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role: str
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skills_gaps: List[EmployeeSkillGap]
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training_plan: List[TrainingMaterial]
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pyproject.toml
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description = "SmolAgents-based HR skill-gap analysis and training planner app (EastSync)"
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authors = ["EastSync Team"]
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readme = "README.md"
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requires-python = ">=3.
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dependencies = [
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"pydantic>=2.0.0",
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"gradio==6.0.0.dev1",
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"fastmcp>=2.13.1",
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"ddgs>=9.9.1",
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"repr>=0.3.1",
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]
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[tool.uv]
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description = "SmolAgents-based HR skill-gap analysis and training planner app (EastSync)"
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authors = ["EastSync Team"]
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"pydantic>=2.0.0",
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"gradio==6.0.0.dev1",
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"fastmcp>=2.13.1",
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"ddgs>=9.9.1",
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"repr>=0.3.1",
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"typer>=0.20.0",
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]
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[tool.uv]
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response_sample.json
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|
| 100 |
-
|
| 101 |
-
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
|
| 117 |
-
|
| 118 |
-
|
| 119 |
-
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
|
| 128 |
-
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
|
| 142 |
-
|
| 143 |
-
"skills_gaps":[
|
| 144 |
-
{
|
| 145 |
-
"employee_id":"20",
|
| 146 |
-
"skill":"Docker"
|
| 147 |
-
}
|
| 148 |
-
],
|
| 149 |
-
"training_plan":[
|
| 150 |
-
{
|
| 151 |
-
"id":"docker_1",
|
| 152 |
-
"title":"Docker Certified Associate (DCA) Preparation by ONLC",
|
| 153 |
-
"url":"https://www.onlc.com/docker-training-classes.htm",
|
| 154 |
-
"skills_covered":[
|
| 155 |
-
"Docker"
|
| 156 |
-
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|
| 157 |
-
"cost":2000.0,
|
| 158 |
-
"duration_hours":32.0
|
| 159 |
-
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|
| 160 |
-
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|
| 161 |
-
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|
| 162 |
-
]
|
| 163 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"project_id": 2,
|
| 3 |
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"project_name": "Cloud Migration Initiative",
|
| 4 |
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"budget": 180000,
|
| 5 |
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"deadline": "2025-07-01",
|
| 6 |
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"status": "Ongoing",
|
| 7 |
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"team": [
|
| 8 |
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{
|
| 9 |
+
"employee_name": "Emily Davis",
|
| 10 |
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"role": "DevOps Engineer",
|
| 11 |
+
"skills_gaps": [],
|
| 12 |
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"training_plan": []
|
| 13 |
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},
|
| 14 |
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{
|
| 15 |
+
"employee_name": "Michael Brown",
|
| 16 |
+
"role": "Cloud Engineer",
|
| 17 |
+
"skills_gaps": [
|
| 18 |
+
{ "skill": "Terraform" }
|
| 19 |
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],
|
| 20 |
+
"training_plan": [
|
| 21 |
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{
|
| 22 |
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"id": "T01",
|
| 23 |
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"title": "Terraform Online Training and Certification Course",
|
| 24 |
+
"url": "https://secappslearning.com/course/terraform-online-training-and-certification-course",
|
| 25 |
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"skills_covered": ["Terraform"],
|
| 26 |
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"cost": 24999,
|
| 27 |
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"duration_hours": 35
|
| 28 |
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}
|
| 29 |
+
]
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"employee_name": "Daniel Wilson",
|
| 33 |
+
"role": "Java Engineer",
|
| 34 |
+
"skills_gaps": [
|
| 35 |
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{ "skill": "AWS" },
|
| 36 |
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{ "skill": "Docker" },
|
| 37 |
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{ "skill": "Terraform" }
|
| 38 |
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],
|
| 39 |
+
"training_plan": [
|
| 40 |
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{
|
| 41 |
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"id": "A01",
|
| 42 |
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"title": "AWS Training and Certification",
|
| 43 |
+
"url": "https://mindmajix.com/aws-training",
|
| 44 |
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"skills_covered": ["AWS"],
|
| 45 |
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|
| 46 |
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"duration_hours": 25
|
| 47 |
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|
| 48 |
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{
|
| 49 |
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"id": "D01",
|
| 50 |
+
"title": "Docker for the Absolute Beginner",
|
| 51 |
+
"url": "https://www.coursera.org/learn/docker-for-the-absolute-beginner",
|
| 52 |
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"skills_covered": ["Docker"],
|
| 53 |
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"cost": 0,
|
| 54 |
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"duration_hours": 16
|
| 55 |
+
},
|
| 56 |
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{
|
| 57 |
+
"id": "D02",
|
| 58 |
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"title": "Docker - Introducing Docker Essentials, Containers, and more",
|
| 59 |
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"url": "https://www.udemy.com/course/docker-introducing-docker-essentials-containers-and-more/",
|
| 60 |
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"skills_covered": ["Docker"],
|
| 61 |
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"cost": 0,
|
| 62 |
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"duration_hours": 2.5
|
| 63 |
+
},
|
| 64 |
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{
|
| 65 |
+
"id": "T01",
|
| 66 |
+
"title": "Terraform Online Training and Certification Course",
|
| 67 |
+
"url": "https://secappslearning.com/course/terraform-online-training-and-certification-course",
|
| 68 |
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"skills_covered": ["Terraform"],
|
| 69 |
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"cost": 24999,
|
| 70 |
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"duration_hours": 35
|
| 71 |
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}
|
| 72 |
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]
|
| 73 |
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},
|
| 74 |
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{
|
| 75 |
+
"employee_name": "Jacob Collins",
|
| 76 |
+
"role": "Software Engineer",
|
| 77 |
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"skills_gaps": [
|
| 78 |
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{ "skill": "AWS" },
|
| 79 |
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{ "skill": "Docker" },
|
| 80 |
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{ "skill": "Terraform" }
|
| 81 |
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],
|
| 82 |
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"training_plan": [
|
| 83 |
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{
|
| 84 |
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"id": "A01",
|
| 85 |
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"title": "AWS Training and Certification",
|
| 86 |
+
"url": "https://mindmajix.com/aws-training",
|
| 87 |
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"skills_covered": ["AWS"],
|
| 88 |
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"cost": 0,
|
| 89 |
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"duration_hours": 25
|
| 90 |
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},
|
| 91 |
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{
|
| 92 |
+
"id": "D01",
|
| 93 |
+
"title": "Docker for the Absolute Beginner",
|
| 94 |
+
"url": "https://www.coursera.org/learn/docker-for-the-absolute-beginner",
|
| 95 |
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"skills_covered": ["Docker"],
|
| 96 |
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"cost": 0,
|
| 97 |
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"duration_hours": 16
|
| 98 |
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},
|
| 99 |
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{
|
| 100 |
+
"id": "D02",
|
| 101 |
+
"title": "Docker - Introducing Docker Essentials, Containers, and more",
|
| 102 |
+
"url": "https://www.udemy.com/course/docker-introducing-docker-essentials-containers-and-more/",
|
| 103 |
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"skills_covered": ["Docker"],
|
| 104 |
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"cost": 0,
|
| 105 |
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"duration_hours": 2.5
|
| 106 |
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},
|
| 107 |
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{
|
| 108 |
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"id": "T01",
|
| 109 |
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"title": "Terraform Online Training and Certification Course",
|
| 110 |
+
"url": "https://secappslearning.com/course/terraform-online-training-and-certification-course",
|
| 111 |
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"skills_covered": ["Terraform"],
|
| 112 |
+
"cost": 24999,
|
| 113 |
+
"duration_hours": 35
|
| 114 |
+
}
|
| 115 |
+
]
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"employee_name": "Chloe Morgan",
|
| 119 |
+
"role": "Cloud Architect",
|
| 120 |
+
"skills_gaps": [
|
| 121 |
+
{ "skill": "Docker" }
|
| 122 |
+
],
|
| 123 |
+
"training_plan": [
|
| 124 |
+
{
|
| 125 |
+
"id": "D01",
|
| 126 |
+
"title": "Docker for the Absolute Beginner",
|
| 127 |
+
"url": "https://www.coursera.org/learn/docker-for-the-absolute-beginner",
|
| 128 |
+
"skills_covered": ["Docker"],
|
| 129 |
+
"cost": 0,
|
| 130 |
+
"duration_hours": 16
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"id": "D02",
|
| 134 |
+
"title": "Docker - Introducing Docker Essentials, Containers, and more",
|
| 135 |
+
"url": "https://www.udemy.com/course/docker-introducing-docker-essentials-containers-and-more/",
|
| 136 |
+
"skills_covered": ["Docker"],
|
| 137 |
+
"cost": 0,
|
| 138 |
+
"duration_hours": 2.5
|
| 139 |
+
}
|
| 140 |
+
]
|
| 141 |
+
}
|
| 142 |
+
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 143 |
}
|
uv.lock
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|
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|
|
|