Modified LLM Configuration

src/job_writing_agent/graph/background_research_subgraph.py

@@ -153,7 +153,7 @@ def company_research_data_summary(state: ResearchState) -> dict[str, Any]:
 
         llm_provider = LLMFactory()
         llm = llm_provider.create_dspy(
-            model="liquid/lfm-2.5-1.2b-instruct:free",
+            model="openai/gpt-oss-20b:free",
             provider="openrouter",
             temperature=0.3,
         )

src/job_writing_agent/nodes/research_workflow.py

@@ -150,7 +150,7 @@ def company_research_data_summary(state: ResearchState) -> ResearchState:
 
         llm_provider = LLMFactory()
         llm = llm_provider.create_dspy(
-            model="google/gemma-3-27b-it:free",
+            model="openai/gpt-oss-20b:free",
             provider="openrouter",
             temperature=0.3,
         )

src/job_writing_agent/nodes/selfconsistency.py

@@ -31,7 +31,7 @@ def self_consistency_vote(state: AppState) -> AppState:
     # Create LLM inside function (lazy initialization)
     llm_factory = LLMFactory()
     precise_llm = llm_factory.create_langchain(
-        model="google/gemma-3-27b-it:free", provider="openrouter", temperature=0.1
+        model="openai/gpt-oss-20b:free", provider="openrouter", temperature=0.1
     )
 
     variations_data = state.get("variations", {"variations": []})