diff --git a/tests/agent_test.py b/tests/agent_test.py
index c494ec3d7..ca51361fa 100644
--- a/tests/agent_test.py
+++ b/tests/agent_test.py
@@ -1457,7 +1457,7 @@ def test_agent_with_ollama_llama3():
     assert agent.llm.model == "ollama/llama3.2:3b"
     assert agent.llm.base_url == "http://localhost:11434"
 
-    task = "Respond in 20 words. Who which model are you?"
+    task = "Respond in 20 words. Which model are you?"
     response = agent.llm.call([{"role": "user", "content": task}])
 
     assert response
@@ -1473,7 +1473,9 @@ def test_llm_call_with_ollama_llama3():
         temperature=0.7,
         max_tokens=30,
     )
-    messages = [{"role": "user", "content": "Respond in 20 words. Who are you?"}]
+    messages = [
+        {"role": "user", "content": "Respond in 20 words. Which model are you??"}
+    ]
 
     response = llm.call(messages)
 
diff --git a/tests/cassettes/test_llm_call_with_ollama_llama3.yaml b/tests/cassettes/test_llm_call_with_ollama_llama3.yaml
index e4243c494..c1cee2cc8 100644
--- a/tests/cassettes/test_llm_call_with_ollama_llama3.yaml
+++ b/tests/cassettes/test_llm_call_with_ollama_llama3.yaml
@@ -1,864 +1,36 @@
 interactions:
 - request:
-    body: '{"model": "llama3.2:3b", "prompt": "### User:\nRespond in 20 words. Who
-      are you?\n\n", "options": {"temperature": 0.7, "num_predict": 30}, "stream":
+    body: '{"model": "llama3.2:3b", "prompt": "### User:\nRespond in 20 words. Which
+      model are you??\n\n", "options": {"num_predict": 30, "temperature": 0.7}, "stream":
       false}'
     headers:
-      accept:
+      Accept:
       - '*/*'
-      accept-encoding:
+      Accept-Encoding:
       - gzip, deflate
-      connection:
+      Connection:
       - keep-alive
-      content-length:
-      - '155'
-      host:
-      - localhost:11434
-      user-agent:
-      - litellm/1.56.6
+      Content-Length:
+      - '164'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - python-requests/2.32.3
     method: POST
     uri: http://localhost:11434/api/generate
   response:
-    content: '{"model":"llama3.2:3b","created_at":"2025-01-02T19:54:45.758411Z","response":"I''m
-      an AI assistant, here to provide information and assist with tasks to the best
-      of my abilities always.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,2724,512,66454,304,220,508,4339,13,10699,527,499,1980,128009,128006,78191,128007,271,40,2846,459,15592,18328,11,1618,311,3493,2038,323,7945,449,9256,311,279,1888,315,856,18000,2744,13],"total_duration":439888708,"load_duration":16282208,"prompt_eval_count":38,"prompt_eval_duration":19000000,"eval_count":23,"eval_duration":403000000}'
+    body:
+      string: '{"model":"llama3.2:3b","created_at":"2025-01-02T20:24:24.812595Z","response":"I''m
+        an AI, specifically a large language model, designed to understand and respond
+        to user queries with accuracy.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,2724,512,66454,304,220,508,4339,13,16299,1646,527,499,71291,128009,128006,78191,128007,271,40,2846,459,15592,11,11951,264,3544,4221,1646,11,6319,311,3619,323,6013,311,1217,20126,449,13708,13],"total_duration":827817584,"load_duration":41560542,"prompt_eval_count":39,"prompt_eval_duration":384000000,"eval_count":23,"eval_duration":400000000}'
     headers:
       Content-Length:
-      - '668'
+      - '683'
       Content-Type:
       - application/json; charset=utf-8
       Date:
-      - Thu, 02 Jan 2025 19:54:45 GMT
-    http_version: HTTP/1.1
-    status_code: 200
-- request:
-    body: '{"name": "llama3.2:3b"}'
-    headers:
-      accept:
-      - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
-      - keep-alive
-      content-length:
-      - '23'
-      content-type:
-      - application/json
-      host:
-      - localhost:11434
-      user-agent:
-      - litellm/1.56.6
-    method: POST
-    uri: http://localhost:11434/api/show
-  response:
-    content: "{\"license\":\"LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\\nLlama 3.2 Version
-      Release Date: September 25, 2024\\n\\n\u201CAgreement\u201D means the terms
-      and conditions for use, reproduction, distribution \\nand modification of the
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-      or \u201Cwe\u201D means Meta Platforms Ireland Limited (if you are located in
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-      and royalty-free limited license under Meta\u2019s intellectual property or
-      other rights \\nowned by Meta embodied in the Llama Materials to use, reproduce,
-      distribute, copy, create derivative works \\nof, and make modifications to the
-      Llama Materials.  \\n\\n    b. Redistribution and Use.  \\n\\n        i. If
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-      \       iii. You must retain in all copies of the Llama Materials that you distribute
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-      UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND \\nRESULTS
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-      \   a. No trademark licenses are granted under this Agreement, and in connection
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-      any of them, you shall (A) provide\\na copy of this Agreement with any such
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 version: 1
diff --git a/tests/knowledge/knowledge_test.py b/tests/knowledge/knowledge_test.py
index 2af4f2110..c968e908b 100644
--- a/tests/knowledge/knowledge_test.py
+++ b/tests/knowledge/knowledge_test.py
@@ -578,15 +578,6 @@ def test_multiple_docling_sources():
     assert docling_source.content is not None
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_docling_source_with_local_file():
-    current_dir = Path(__file__).parent
-    pdf_path = current_dir / "crewai_quickstart.pdf"
-    docling_source = CrewDoclingSource(file_paths=[pdf_path])
-    assert docling_source.file_paths == [pdf_path]
-    assert docling_source.content is not None
-
-
 def test_file_path_validation():
     """Test file path validation for knowledge sources."""
     current_dir = Path(__file__).parent