Spaces:
Sleeping
Sleeping
File size: 1,583 Bytes
73ee6c2 602f88e 4ec07e1 fd01f65 602f88e fd01f65 4ec07e1 73ee6c2 602f88e 73ee6c2 4ec07e1 73ee6c2 602f88e 73ee6c2 a2f3cd3 73ee6c2 602f88e a2f3cd3 602f88e 4ec07e1 602f88e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | from langchain_groq import ChatGroq
from app.schemas.jd_extract_schema import JobDescriptionExtract
from app.schemas.resume_extract_schema import ResumeExtract
from app.schemas.skill_gap_analysis_schema import SkillGapAnalysis
from app.core.config import settings
from app.tools.tools import roadmap_planner_agent_tools
from app.prompts.roadmap_planner_agent_prompt import roadmap_planner_agent_prompt
from app.tools.tools import *
from typing import Any
from langchain.agents.middleware import ToolCallLimitMiddleware
import os
if "GROQ_API_KEY" not in os.environ:
os.environ["GROQ_API_KEY"] = settings.GROQ_API_KEY
resume_agent=ChatGroq(
model="meta-llama/llama-4-scout-17b-16e-instruct",
temperature=0.2,
)
resume_agent=resume_agent.with_structured_output(
schema=ResumeExtract,
method="json_schema",
include_raw=True,
strict=True
)
jd_agent=ChatGroq(
model="openai/gpt-oss-20b",
temperature=0.2,
)
jd_agent=jd_agent.with_structured_output(
schema=JobDescriptionExtract,
method="json_schema",
include_raw=True,
strict=True
)
gap_analysis_agent=ChatGroq(
model="openai/gpt-oss-20b",
temperature=0.2,
)
gap_analysis_agent=gap_analysis_agent.with_structured_output(
schema=SkillGapAnalysis,
method="json_schema",
include_raw=True,
strict=True
)
base_llm = ChatGroq(
model="qwen/qwen3-32b",
temperature=0.1,
)
roadmap_planner_agent_tools=[search_courses,submit_final_roadmap,submit_mermaid_visualization]
roadmap_planner_agent=base_llm.bind_tools(roadmap_planner_agent_tools)
|