diff --git a/.env.example b/.env.example
index 3e69fc5..94fd3b3 100644
--- a/.env.example
+++ b/.env.example
@@ -15,6 +15,11 @@ TAVILY_API_KEY=
 # Other providers: azure/, bedrock/, groq/, ollama/, together_ai/ (see litellm docs)
 PENTESTAGENT_MODEL=gpt-5
 
+# Ollama local/remote API base
+# Example: http://127.0.0.1:11434 or http://192.168.0.165:11434
+# Set this when using Ollama as the provider so LiteLLM/clients point to the correct host
+# OLLAMA_API_BASE=http://127.0.0.1:11434
+
 # Embeddings (for RAG knowledge base)
 # Options: openai, local (default: openai if OPENAI_API_KEY set, else local)
 # PENTESTAGENT_EMBEDDINGS=local
diff --git a/pentestagent/llm/llm.py b/pentestagent/llm/llm.py
index 2520f4e..155a602 100644
--- a/pentestagent/llm/llm.py
+++ b/pentestagent/llm/llm.py
@@ -50,6 +50,23 @@ class LLM:
 
         # Ensure litellm is available
         try:
+            # If user provided an Ollama base URL (e.g. via .env), map it to
+            # several common environment variable names that LiteLLM or
+            # underlying Ollama clients may read. This helps when different
+            # naming conventions are used (OLLAMA_BASE_URL vs LITELLM_OLLAMA_*).
+            ollama_base = os.getenv("OLLAMA_BASE_URL") or os.getenv("OLLAMA_URL")
+            if ollama_base:
+                # Populate a few possible names without overwriting any that
+                # are already set by the environment.
+                os.environ.setdefault("OLLAMA_BASE_URL", ollama_base)
+                os.environ.setdefault("OLLAMA_URL", ollama_base)
+                os.environ.setdefault("OLLAMA_API_URL", ollama_base)
+                os.environ.setdefault("LITELLM_OLLAMA_BASE_URL", ollama_base)
+                os.environ.setdefault("LITELLM_OLLAMA_URL", ollama_base)
+                # Some clients expect a host without scheme
+                host_only = ollama_base.replace("http://", "").replace("https://", "")
+                os.environ.setdefault("OLLAMA_HOST", host_only)
+
             import litellm
 
             # Drop unsupported params for models that don't support them