llm

app.py

@@ -243,6 +243,7 @@ resume_analyzer = Agent(
                                 providing actionable suggestions for improvement. Your recommendations always
                                 focus on both human readability and ATS compatibility.""",
             verbose=True,
+            llm = llm,
             # knowledge_sources=[pdf_source],
         )
 job_analyzer = Agent(
@@ -255,6 +256,8 @@ job_analyzer = Agent(
                 and soft skills requirements, and can evaluate experience levels accurately.""",
             verbose=True,
             tools=[ScrapeWebsiteTool()],
+            llm = llm,
+
             # knowledge_sources=[pdf_source],
 )
 company_researcher = Agent(
@@ -267,6 +270,8 @@ company_researcher = Agent(
                 candidates for interviews. """,
             tools=[SerperDevTool()],
             verbose=True,
+            llm = llm,
+
             # knowledge_sources=[pdf_source],
 
         )
@@ -279,6 +284,8 @@ resume_writer = Agent (
                     beautifully formatted, ATS-friendly documents that maintain professionalism
                     while showcasing candidate strengths effectively.""",
                 verbose=True,
+                llm = llm,
+
         )
 report_generator = Agent(
                 role= "Career Report Generator and Markdown Specialist",
@@ -290,6 +297,8 @@ report_generator = Agent(
                     into clear, actionable insights with proper markdown formatting, emojis, and
                     visual elements that make information both appealing and easily digestible.""",
                 verbose=True,
+                llm = llm,
+
         )
 
 analyze_job_task = Task(