drop record new episodes

* Suppressed userWarnings from litellm pydantic issues

* change litellm version

* Fix failling ollama tasks

pyproject.toml

@@ -11,7 +11,7 @@ dependencies = [
     # Core Dependencies
     "pydantic>=2.4.2",
     "openai>=1.13.3",
-    "litellm>=1.56.4",
+    "litellm>=1.44.22",
     "instructor>=1.3.3",
     
     # Text Processing

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 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)
 

tests/cassettes/test_agent_execute_task_with_ollama.yaml

@@ -12,862 +12,34 @@ interactions:
       available and give your best Final Answer, your job depends on it!\n\nThought:\n\n",
       "options": {"stop": ["\nObservation:"]}, "stream": false}'
     headers:
-      accept:
+      Accept:
       - '*/*'
-      accept-encoding:
+      Accept-Encoding:
       - gzip, deflate
-      connection:
+      Connection:
       - keep-alive
-      content-length:
+      Content-Length:
       - '839'
-      host:
-      - localhost:11434
-      user-agent:
-      - litellm/1.56.4
+      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":"2024-12-31T16:56:15.759718Z","response":"Final
-      Answer: Artificial Intelligence (AI) refers to the development of computer systems
-      able to perform tasks that typically require human intelligence, including learning,
-      problem-solving, decision-making, and perception.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,744,512,2675,527,1296,3560,13,1296,93371,198,7927,4443,5915,374,25,1296,5915,198,1271,3041,856,1888,4686,1620,4320,311,279,3465,1005,279,4839,2768,3645,1473,85269,25,358,1457,649,3041,264,2294,4320,198,19918,22559,25,4718,1620,4320,2011,387,279,2294,323,279,1455,4686,439,3284,11,433,2011,387,15632,7633,382,40,28832,1005,1521,20447,11,856,2683,14117,389,433,2268,14711,2724,1473,5520,5546,25,83017,1148,15592,374,304,832,11914,271,2028,374,279,1755,13186,369,701,1620,4320,25,362,832,1355,18886,16540,315,15592,198,9514,28832,471,279,5150,4686,2262,439,279,1620,4320,11,539,264,12399,382,11382,0,1115,374,48174,3062,311,499,11,1005,279,7526,2561,323,3041,701,1888,13321,22559,11,701,2683,14117,389,433,2268,85269,1473,128009,128006,78191,128007,271,19918,22559,25,59294,22107,320,15836,8,19813,311,279,4500,315,6500,6067,3025,311,2804,9256,430,11383,1397,3823,11478,11,2737,6975,11,3575,99246,11,5597,28846,11,323,21063,13],"total_duration":1156303250,"load_duration":35999125,"prompt_eval_count":181,"prompt_eval_duration":408000000,"eval_count":38,"eval_duration":711000000}'
+    body:
+      string: '{"model":"llama3.2:3b","created_at":"2025-01-02T20:05:52.24992Z","response":"Final
+        Answer: Artificial Intelligence (AI) refers to the development of computer
+        systems capable of performing tasks that typically require human intelligence,
+        such as learning, problem-solving, decision-making, and perception.","done":true,"done_reason":"stop","context":[128006,9125,128007,271,38766,1303,33025,2696,25,6790,220,2366,18,271,128009,128006,882,128007,271,14711,744,512,2675,527,1296,3560,13,1296,93371,198,7927,4443,5915,374,25,1296,5915,198,1271,3041,856,1888,4686,1620,4320,311,279,3465,1005,279,4839,2768,3645,1473,85269,25,358,1457,649,3041,264,2294,4320,198,19918,22559,25,4718,1620,4320,2011,387,279,2294,323,279,1455,4686,439,3284,11,433,2011,387,15632,7633,382,40,28832,1005,1521,20447,11,856,2683,14117,389,433,2268,14711,2724,1473,5520,5546,25,83017,1148,15592,374,304,832,11914,271,2028,374,279,1755,13186,369,701,1620,4320,25,362,832,1355,18886,16540,315,15592,198,9514,28832,471,279,5150,4686,2262,439,279,1620,4320,11,539,264,12399,382,11382,0,1115,374,48174,3062,311,499,11,1005,279,7526,2561,323,3041,701,1888,13321,22559,11,701,2683,14117,389,433,2268,85269,1473,128009,128006,78191,128007,271,19918,22559,25,59294,22107,320,15836,8,19813,311,279,4500,315,6500,6067,13171,315,16785,9256,430,11383,1397,3823,11478,11,1778,439,6975,11,3575,99246,11,5597,28846,11,323,21063,13],"total_duration":1461909875,"load_duration":39886208,"prompt_eval_count":181,"prompt_eval_duration":701000000,"eval_count":39,"eval_duration":719000000}'
     headers:
       Content-Length:
-      - '1528'
+      - '1537'
       Content-Type:
       - application/json; charset=utf-8
       Date:
-      - Tue, 31 Dec 2024 16:56:15 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/1.56.4
-    method: POST
-    uri: http://localhost:11434/api/show
-  response:
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tests/cassettes/test_agent_with_ollama_llama3.yaml

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tests/cassettes/test_llm_call_with_ollama_llama3.yaml

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-      benefits, credit, housing, other economic benefits, or other essential goods
-      and services\\n    3. Engage in the unauthorized or unlicensed practice of any
-      profession including, but not limited to, financial, legal, medical/health,
-      or related professional practices\\n    4. Collect, process, disclose, generate,
-      or infer private or sensitive information about individuals, including information
-      about individuals\u2019 identity, health, or demographic information, unless
-      you have obtained the right to do so in accordance with applicable law\\n    5.
-      Engage in or facilitate any action or generate any content that infringes, misappropriates,
-      or otherwise violates any third-party rights, including the outputs or results
-      of any products or services using the Llama Materials\\n    6. Create, generate,
-      or facilitate the creation of malicious code, malware, computer viruses or do
-      anything else that could disable, overburden, interfere with or impair the proper
-      working, integrity, operation or appearance of a website or computer system\\n
-      \   7. Engage in any action, or facilitate any action, to intentionally circumvent
-      or remove usage restrictions or other safety measures, or to enable functionality
-      disabled by Meta\\n2. Engage in, promote, incite, facilitate, or assist in the
-      planning or development of activities that present a risk of death or bodily
-      harm to individuals, including use of Llama 3.2 related to the following:\\n
-      \   8. Military, warfare, nuclear industries or applications, espionage, use
-      for materials or activities that are subject to the International Traffic Arms
-      Regulations (ITAR) maintained by the United States Department of State or to
-      the U.S. Biological Weapons Anti-Terrorism Act of 1989 or the Chemical Weapons
-      Convention Implementation Act of 1997\\n    9. Guns and illegal weapons (including
-      weapon development)\\n    10. Illegal drugs and regulated/controlled substances\\n
-      \   11. Operation of critical infrastructure, transportation technologies, or
-      heavy machinery\\n    12. Self-harm or harm to others, including suicide, cutting,
-      and eating disorders\\n    13. Any content intended to incite or promote violence,
-      abuse, or any infliction of bodily harm to an individual\\n3. Intentionally
-      deceive or mislead others, including use of Llama 3.2 related to the following:\\n
-      \   14. Generating, promoting, or furthering fraud or the creation or promotion
-      of disinformation\\n    15. Generating, promoting, or furthering defamatory
-      content, including the creation of defamatory statements, images, or other content\\n
-      \   16. Generating, promoting, or further distributing spam\\n    17. Impersonating
-      another individual without consent, authorization, or legal right\\n    18.
-      Representing that the use of Llama 3.2 or outputs are human-generated\\n    19.
-      Generating or facilitating false online engagement, including fake reviews and
-      other means of fake online engagement\\n4. Fail to appropriately disclose to
-      end users any known dangers of your AI system\\n5. Interact with third party
-      tools, models, or software designed to generate unlawful content or engage in
-      unlawful or harmful conduct and/or represent that the outputs of such tools,
-      models, or software are associated with Meta or Llama 3.2\\n\\nWith respect
-      to any multimodal models included in Llama 3.2, the rights granted under Section
-      1(a) of the Llama 3.2 Community License Agreement are not being granted to you
-      if you are an individual domiciled in, or a company with a principal place of
-      business in, the European Union. This restriction does not apply to end users
-      of a product or service that incorporates any such multimodal models.\\n\\nPlease
-      report any violation of this Policy, software \u201Cbug,\u201D or other problems
-      that could lead to a violation of this Policy through one of the following means:\\n\\n\\n\\n*
-      Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues\\u0026h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\\n*
-      Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\\n*
-      Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\\n*
-      Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama
-      3.2: LlamaUseReport@meta.com\\\"\\n\",\"parameters\":\"stop                           \\\"\\u003c|start_header_id|\\u003e\\\"\\nstop
-      \                          \\\"\\u003c|end_header_id|\\u003e\\\"\\nstop                           \\\"\\u003c|eot_id|\\u003e\\\"\",\"template\":\"\\u003c|start_header_id|\\u003esystem\\u003c|end_header_id|\\u003e\\n\\nCutting
-      Knowledge Date: December 2023\\n\\n{{ if .System }}{{ .System }}\\n{{- end }}\\n{{-
-      if .Tools }}When you receive a tool call response, use the output to format
-      an answer to the orginal user question.\\n\\nYou are a helpful assistant with
-      tool calling capabilities.\\n{{- end }}\\u003c|eot_id|\\u003e\\n{{- range $i,
-      $_ := .Messages }}\\n{{- $last := eq (len (slice $.Messages $i)) 1 }}\\n{{-
-      if eq .Role \\\"user\\\" }}\\u003c|start_header_id|\\u003euser\\u003c|end_header_id|\\u003e\\n{{-
-      if and $.Tools $last }}\\n\\nGiven the following functions, please respond with
-      a JSON for a function call with its proper arguments that best answers the given
-      prompt.\\n\\nRespond in the format {\\\"name\\\": function name, \\\"parameters\\\":
-      dictionary of argument name and its value}. Do not use variables.\\n\\n{{ range
-      $.Tools }}\\n{{- . }}\\n{{ end }}\\n{{ .Content }}\\u003c|eot_id|\\u003e\\n{{-
-      else }}\\n\\n{{ .Content }}\\u003c|eot_id|\\u003e\\n{{- end }}{{ if $last }}\\u003c|start_header_id|\\u003eassistant\\u003c|end_header_id|\\u003e\\n\\n{{
-      end }}\\n{{- else if eq .Role \\\"assistant\\\" }}\\u003c|start_header_id|\\u003eassistant\\u003c|end_header_id|\\u003e\\n{{-
-      if .ToolCalls }}\\n{{ range .ToolCalls }}\\n{\\\"name\\\": \\\"{{ .Function.Name
-      }}\\\", \\\"parameters\\\": {{ .Function.Arguments }}}{{ end }}\\n{{- else }}\\n\\n{{
-      .Content }}\\n{{- end }}{{ if not $last }}\\u003c|eot_id|\\u003e{{ end }}\\n{{-
-      else if eq .Role \\\"tool\\\" }}\\u003c|start_header_id|\\u003eipython\\u003c|end_header_id|\\u003e\\n\\n{{
-      .Content }}\\u003c|eot_id|\\u003e{{ if $last }}\\u003c|start_header_id|\\u003eassistant\\u003c|end_header_id|\\u003e\\n\\n{{
-      end }}\\n{{- end }}\\n{{- end }}\",\"details\":{\"parent_model\":\"\",\"format\":\"gguf\",\"family\":\"llama\",\"families\":[\"llama\"],\"parameter_size\":\"3.2B\",\"quantization_level\":\"Q4_K_M\"},\"model_info\":{\"general.architecture\":\"llama\",\"general.basename\":\"Llama-3.2\",\"general.file_type\":15,\"general.finetune\":\"Instruct\",\"general.languages\":[\"en\",\"de\",\"fr\",\"it\",\"pt\",\"hi\",\"es\",\"th\"],\"general.parameter_count\":3212749888,\"general.quantization_version\":2,\"general.size_label\":\"3B\",\"general.tags\":[\"facebook\",\"meta\",\"pytorch\",\"llama\",\"llama-3\",\"text-generation\"],\"general.type\":\"model\",\"llama.attention.head_count\":24,\"llama.attention.head_count_kv\":8,\"llama.attention.key_length\":128,\"llama.attention.layer_norm_rms_epsilon\":0.00001,\"llama.attention.value_length\":128,\"llama.block_count\":28,\"llama.context_length\":131072,\"llama.embedding_length\":3072,\"llama.feed_forward_length\":8192,\"llama.rope.dimension_count\":128,\"llama.rope.freq_base\":500000,\"llama.vocab_size\":128256,\"tokenizer.ggml.bos_token_id\":128000,\"tokenizer.ggml.eos_token_id\":128009,\"tokenizer.ggml.merges\":null,\"tokenizer.ggml.model\":\"gpt2\",\"tokenizer.ggml.pre\":\"llama-bpe\",\"tokenizer.ggml.token_type\":null,\"tokenizer.ggml.tokens\":null},\"modified_at\":\"2024-12-31T11:53:14.529771974-05:00\"}"
-    headers:
-      Content-Type:
-      - application/json; charset=utf-8
-      Date:
-      - Tue, 31 Dec 2024 17:00:06 GMT
-      Transfer-Encoding:
-      - chunked
-    http_version: HTTP/1.1
-    status_code: 200
+      - Thu, 02 Jan 2025 20:24:24 GMT
+    status:
+      code: 200
+      message: OK
 version: 1

tests/cli/tools/test_main.py

@@ -28,9 +28,10 @@ def test_create_success(mock_subprocess):
     with in_temp_dir():
         tool_command = ToolCommand()
 
-        with patch.object(tool_command, "login") as mock_login, patch(
-            "sys.stdout", new=StringIO()
-        ) as fake_out:
+        with (
+            patch.object(tool_command, "login") as mock_login,
+            patch("sys.stdout", new=StringIO()) as fake_out,
+        ):
             tool_command.create("test-tool")
             output = fake_out.getvalue()
 
@@ -82,7 +83,7 @@ def test_install_success(mock_get, mock_subprocess_run):
         capture_output=False,
         text=True,
         check=True,
-        env=unittest.mock.ANY
+        env=unittest.mock.ANY,
     )
 
     assert "Successfully installed sample-tool" in output

tests/crew_test.py

@@ -333,16 +333,16 @@ def test_manager_agent_delegating_to_assigned_task_agent():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
     # Because we are mocking execute_sync, we never hit the underlying _execute_core
     # which sets the output attribute of the task
     task.output = mock_task_output
 
-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Verify execute_sync was called once
@@ -350,12 +350,20 @@ def test_manager_agent_delegating_to_assigned_task_agent():
 
         # Get the tools argument from the call
         _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
 
         # Verify the delegation tools were passed correctly
         assert len(tools) == 2
-        assert any("Delegate a specific task to one of the following coworkers: Researcher" in tool.description for tool in tools)
-        assert any("Ask a specific question to one of the following coworkers: Researcher" in tool.description for tool in tools)
+        assert any(
+            "Delegate a specific task to one of the following coworkers: Researcher"
+            in tool.description
+            for tool in tools
+        )
+        assert any(
+            "Ask a specific question to one of the following coworkers: Researcher"
+            in tool.description
+            for tool in tools
+        )
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -404,7 +412,7 @@ def test_manager_agent_delegates_with_varied_role_cases():
         backstory="A researcher with spaces in role name",
         allow_delegation=False,
     )
-    
+
     writer_caps = Agent(
         role="SENIOR WRITER",  # All caps
         goal="Write with caps in role",
@@ -426,13 +434,13 @@ def test_manager_agent_delegates_with_varied_role_cases():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
     task.output = mock_task_output
 
-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Verify execute_sync was called once
@@ -440,20 +448,32 @@ def test_manager_agent_delegates_with_varied_role_cases():
 
         # Get the tools argument from the call
         _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
 
         # Verify the delegation tools were passed correctly and can handle case/whitespace variations
         assert len(tools) == 2
-        
+
         # Check delegation tool descriptions (should work despite case/whitespace differences)
         delegation_tool = tools[0]
         question_tool = tools[1]
-        
-        assert "Delegate a specific task to one of the following coworkers:" in delegation_tool.description
-        assert " Researcher " in delegation_tool.description or "SENIOR WRITER" in delegation_tool.description
-        
-        assert "Ask a specific question to one of the following coworkers:" in question_tool.description
-        assert " Researcher " in question_tool.description or "SENIOR WRITER" in question_tool.description
+
+        assert (
+            "Delegate a specific task to one of the following coworkers:"
+            in delegation_tool.description
+        )
+        assert (
+            " Researcher " in delegation_tool.description
+            or "SENIOR WRITER" in delegation_tool.description
+        )
+
+        assert (
+            "Ask a specific question to one of the following coworkers:"
+            in question_tool.description
+        )
+        assert (
+            " Researcher " in question_tool.description
+            or "SENIOR WRITER" in question_tool.description
+        )
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -479,6 +499,7 @@ def test_crew_with_delegating_agents():
         == "In the rapidly evolving landscape of technology, AI agents have emerged as formidable tools, revolutionizing how we interact with data and automate tasks. These sophisticated systems leverage machine learning and natural language processing to perform a myriad of functions, from virtual personal assistants to complex decision-making companions in industries such as finance, healthcare, and education. By mimicking human intelligence, AI agents can analyze massive data sets at unparalleled speeds, enabling businesses to uncover valuable insights, enhance productivity, and elevate user experiences to unprecedented levels.\n\nOne of the most striking aspects of AI agents is their adaptability; they learn from their interactions and continuously improve their performance over time. This feature is particularly valuable in customer service where AI agents can address inquiries, resolve issues, and provide personalized recommendations without the limitations of human fatigue. Moreover, with intuitive interfaces, AI agents enhance user interactions, making technology more accessible and user-friendly, thereby breaking down barriers that have historically hindered digital engagement.\n\nDespite their immense potential, the deployment of AI agents raises important ethical and practical considerations. Issues related to privacy, data security, and the potential for job displacement necessitate thoughtful dialogue and proactive measures. Striking a balance between technological innovation and societal impact will be crucial as organizations integrate these agents into their operations. Additionally, ensuring transparency in AI decision-making processes is vital to maintain public trust as AI agents become an integral part of daily life.\n\nLooking ahead, the future of AI agents appears bright, with ongoing advancements promising even greater capabilities. As we continue to harness the power of AI, we can expect these agents to play a transformative role in shaping various sectors—streamlining workflows, enabling smarter decision-making, and fostering more personalized experiences. Embracing this technology responsibly can lead to a future where AI agents not only augment human effort but also inspire creativity and efficiency across the board, ultimately redefining our interaction with the digital world."
     )
 
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_with_delegating_agents_should_not_override_task_tools():
     from typing import Type
@@ -489,6 +510,7 @@ def test_crew_with_delegating_agents_should_not_override_task_tools():
 
     class TestToolInput(BaseModel):
         """Input schema for TestTool."""
+
         query: str = Field(..., description="Query to process")
 
     class TestTool(BaseTool):
@@ -516,24 +538,29 @@ def test_crew_with_delegating_agents_should_not_override_task_tools():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
     # Because we are mocking execute_sync, we never hit the underlying _execute_core
     # which sets the output attribute of the task
     tasks[0].output = mock_task_output
 
-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Execute the task and verify both tools are present
         _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
+
+        assert any(
+            isinstance(tool, TestTool) for tool in tools
+        ), "TestTool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in tools
+        ), "Delegation tool should be present"
 
-        assert any(isinstance(tool, TestTool) for tool in tools), "TestTool should be present"
-        assert any("delegate" in tool.name.lower() for tool in tools), "Delegation tool should be present"
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_with_delegating_agents_should_not_override_agent_tools():
@@ -545,6 +572,7 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools():
 
     class TestToolInput(BaseModel):
         """Input schema for TestTool."""
+
         query: str = Field(..., description="Query to process")
 
     class TestTool(BaseTool):
@@ -563,7 +591,7 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools():
         Task(
             description="Produce and amazing 1 paragraph draft of an article about AI Agents.",
             expected_output="A 4 paragraph article about AI.",
-            agent=new_ceo
+            agent=new_ceo,
         )
     ]
 
@@ -574,24 +602,29 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
     # Because we are mocking execute_sync, we never hit the underlying _execute_core
     # which sets the output attribute of the task
     tasks[0].output = mock_task_output
 
-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Execute the task and verify both tools are present
         _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
+
+        assert any(
+            isinstance(tool, TestTool) for tool in new_ceo.tools
+        ), "TestTool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in tools
+        ), "Delegation tool should be present"
 
-        assert any(isinstance(tool, TestTool) for tool in new_ceo.tools), "TestTool should be present"
-        assert any("delegate" in tool.name.lower() for tool in tools), "Delegation tool should be present"
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_task_tools_override_agent_tools():
@@ -603,6 +636,7 @@ def test_task_tools_override_agent_tools():
 
     class TestToolInput(BaseModel):
         """Input schema for TestTool."""
+
         query: str = Field(..., description="Query to process")
 
     class TestTool(BaseTool):
@@ -630,14 +664,10 @@ def test_task_tools_override_agent_tools():
         description="Write a test task",
         expected_output="Test output",
         agent=new_researcher,
-        tools=[AnotherTestTool()]
+        tools=[AnotherTestTool()],
     )
 
-    crew = Crew(
-        agents=[new_researcher],
-        tasks=[task],
-        process=Process.sequential
-    )
+    crew = Crew(agents=[new_researcher], tasks=[task], process=Process.sequential)
 
     crew.kickoff()
 
@@ -650,6 +680,7 @@ def test_task_tools_override_agent_tools():
     assert len(new_researcher.tools) == 1
     assert isinstance(new_researcher.tools[0], TestTool)
 
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_task_tools_override_agent_tools_with_allow_delegation():
     """
@@ -702,13 +733,13 @@ def test_task_tools_override_agent_tools_with_allow_delegation():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
     # We mock execute_sync to verify which tools get used at runtime
-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Inspect the call kwargs to verify the actual tools passed to execution
@@ -716,16 +747,23 @@ def test_task_tools_override_agent_tools_with_allow_delegation():
         used_tools = kwargs["tools"]
 
         # Confirm AnotherTestTool is present but TestTool is not
-        assert any(isinstance(tool, AnotherTestTool) for tool in used_tools), "AnotherTestTool should be present"
-        assert not any(isinstance(tool, TestTool) for tool in used_tools), "TestTool should not be present among used tools"
+        assert any(
+            isinstance(tool, AnotherTestTool) for tool in used_tools
+        ), "AnotherTestTool should be present"
+        assert not any(
+            isinstance(tool, TestTool) for tool in used_tools
+        ), "TestTool should not be present among used tools"
 
         # Confirm delegation tool(s) are present
-        assert any("delegate" in tool.name.lower() for tool in used_tools), "Delegation tool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in used_tools
+        ), "Delegation tool should be present"
 
     # Finally, make sure the agent's original tools remain unchanged
     assert len(researcher_with_delegation.tools) == 1
     assert isinstance(researcher_with_delegation.tools[0], TestTool)
 
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_verbose_output(capsys):
     tasks = [
@@ -1012,8 +1050,8 @@ def test_three_task_with_async_execution():
     )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 @pytest.mark.asyncio
+@pytest.mark.vcr(filter_headers=["authorization"])
 async def test_crew_async_kickoff():
     inputs = [
         {"topic": "dog"},
@@ -1060,8 +1098,9 @@ async def test_crew_async_kickoff():
             assert result[0].token_usage.successful_requests > 0  # type: ignore
 
 
+@pytest.mark.asyncio
 @pytest.mark.vcr(filter_headers=["authorization"])
-def test_async_task_execution_call_count():
+async def test_async_task_execution_call_count():
     from unittest.mock import MagicMock, patch
 
     list_ideas = Task(
@@ -1188,7 +1227,6 @@ def test_kickoff_for_each_empty_input():
     assert results == []
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_kickoff_for_each_invalid_input():
     """Tests if kickoff_for_each raises TypeError for invalid input types."""
 
@@ -1211,7 +1249,6 @@ def test_kickoff_for_each_invalid_input():
         crew.kickoff_for_each("invalid input")
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_kickoff_for_each_error_handling():
     """Tests error handling in kickoff_for_each when kickoff raises an error."""
     from unittest.mock import patch
@@ -1248,7 +1285,6 @@ def test_kickoff_for_each_error_handling():
             crew.kickoff_for_each(inputs=inputs)
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 @pytest.mark.asyncio
 async def test_kickoff_async_basic_functionality_and_output():
     """Tests the basic functionality and output of kickoff_async."""
@@ -1283,7 +1319,6 @@ async def test_kickoff_async_basic_functionality_and_output():
         mock_kickoff.assert_called_once_with(inputs)
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 @pytest.mark.asyncio
 async def test_async_kickoff_for_each_async_basic_functionality_and_output():
     """Tests the basic functionality and output of kickoff_for_each_async."""
@@ -1330,7 +1365,6 @@ async def test_async_kickoff_for_each_async_basic_functionality_and_output():
             mock_kickoff_async.assert_any_call(inputs=input_data)
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 @pytest.mark.asyncio
 async def test_async_kickoff_for_each_async_empty_input():
     """Tests if akickoff_for_each_async handles an empty input list."""
@@ -1514,12 +1548,12 @@ def test_code_execution_flag_adds_code_tool_upon_kickoff():
     crew = Crew(agents=[programmer], tasks=[task])
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Get the tools that were actually used in execution
@@ -1528,7 +1562,10 @@ def test_code_execution_flag_adds_code_tool_upon_kickoff():
 
         # Verify that exactly one tool was used and it was a CodeInterpreterTool
         assert len(used_tools) == 1, "Should have exactly one tool"
-        assert isinstance(used_tools[0], CodeInterpreterTool), "Tool should be CodeInterpreterTool"
+        assert isinstance(
+            used_tools[0], CodeInterpreterTool
+        ), "Tool should be CodeInterpreterTool"
+
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_delegation_is_not_enabled_if_there_are_only_one_agent():
@@ -1639,16 +1676,16 @@ def test_hierarchical_crew_creation_tasks_with_agents():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
     # Because we are mocking execute_sync, we never hit the underlying _execute_core
     # which sets the output attribute of the task
     task.output = mock_task_output
 
-    with patch.object(Task, 'execute_sync', return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Verify execute_sync was called once
@@ -1656,12 +1693,20 @@ def test_hierarchical_crew_creation_tasks_with_agents():
 
         # Get the tools argument from the call
         _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
 
         # Verify the delegation tools were passed correctly
         assert len(tools) == 2
-        assert any("Delegate a specific task to one of the following coworkers: Senior Writer" in tool.description for tool in tools)
-        assert any("Ask a specific question to one of the following coworkers: Senior Writer" in tool.description for tool in tools)
+        assert any(
+            "Delegate a specific task to one of the following coworkers: Senior Writer"
+            in tool.description
+            for tool in tools
+        )
+        assert any(
+            "Ask a specific question to one of the following coworkers: Senior Writer"
+            in tool.description
+            for tool in tools
+        )
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -1684,9 +1729,7 @@ def test_hierarchical_crew_creation_tasks_with_async_execution():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
     # Create a mock Future that returns our TaskOutput
@@ -1697,7 +1740,9 @@ def test_hierarchical_crew_creation_tasks_with_async_execution():
     # which sets the output attribute of the task
     task.output = mock_task_output
 
-    with patch.object(Task, 'execute_async', return_value=mock_future) as mock_execute_async:
+    with patch.object(
+        Task, "execute_async", return_value=mock_future
+    ) as mock_execute_async:
         crew.kickoff()
 
         # Verify execute_async was called once
@@ -1705,12 +1750,20 @@ def test_hierarchical_crew_creation_tasks_with_async_execution():
 
         # Get the tools argument from the call
         _, kwargs = mock_execute_async.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
 
         # Verify the delegation tools were passed correctly
         assert len(tools) == 2
-        assert any("Delegate a specific task to one of the following coworkers: Senior Writer\n" in tool.description for tool in tools)
-        assert any("Ask a specific question to one of the following coworkers: Senior Writer\n" in tool.description for tool in tools)
+        assert any(
+            "Delegate a specific task to one of the following coworkers: Senior Writer\n"
+            in tool.description
+            for tool in tools
+        )
+        assert any(
+            "Ask a specific question to one of the following coworkers: Senior Writer\n"
+            in tool.description
+            for tool in tools
+        )
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -2039,7 +2092,6 @@ def test_crew_output_file_end_to_end(tmp_path):
     assert expected_file.exists(), f"Output file {expected_file} was not created"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_output_file_validation_failures():
     """Test output file validation failures in a crew context."""
     agent = Agent(
@@ -2055,7 +2107,7 @@ def test_crew_output_file_validation_failures():
             description="Analyze data",
             expected_output="Analysis results",
             agent=agent,
-            output_file="../output.txt"
+            output_file="../output.txt",
         )
         Crew(agents=[agent], tasks=[task]).kickoff()
 
@@ -2065,7 +2117,7 @@ def test_crew_output_file_validation_failures():
             description="Analyze data",
             expected_output="Analysis results",
             agent=agent,
-            output_file="output.txt | rm -rf /"
+            output_file="output.txt | rm -rf /",
         )
         Crew(agents=[agent], tasks=[task]).kickoff()
 
@@ -2075,7 +2127,7 @@ def test_crew_output_file_validation_failures():
             description="Analyze data",
             expected_output="Analysis results",
             agent=agent,
-            output_file="~/output.txt"
+            output_file="~/output.txt",
         )
         Crew(agents=[agent], tasks=[task]).kickoff()
 
@@ -2085,12 +2137,11 @@ def test_crew_output_file_validation_failures():
             description="Analyze data",
             expected_output="Analysis results",
             agent=agent,
-            output_file="{invalid-name}/output.txt"
+            output_file="{invalid-name}/output.txt",
         )
         Crew(agents=[agent], tasks=[task]).kickoff()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_manager_agent():
     from unittest.mock import patch
 
@@ -3049,6 +3100,7 @@ def test_task_tools_preserve_code_execution_tools():
 
     class TestToolInput(BaseModel):
         """Input schema for TestTool."""
+
         query: str = Field(..., description="Query to process")
 
     class TestTool(BaseTool):
@@ -3082,7 +3134,7 @@ def test_task_tools_preserve_code_execution_tools():
         description="Write a program to calculate fibonacci numbers.",
         expected_output="A working fibonacci calculator.",
         agent=programmer,
-        tools=[TestTool()]
+        tools=[TestTool()],
     )
 
     crew = Crew(
@@ -3092,12 +3144,12 @@ def test_task_tools_preserve_code_execution_tools():
     )
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Get the tools that were actually used in execution
@@ -3105,12 +3157,21 @@ def test_task_tools_preserve_code_execution_tools():
         used_tools = kwargs["tools"]
 
         # Verify all expected tools are present
-        assert any(isinstance(tool, TestTool) for tool in used_tools), "Task's TestTool should be present"
-        assert any(isinstance(tool, CodeInterpreterTool) for tool in used_tools), "CodeInterpreterTool should be present"
-        assert any("delegate" in tool.name.lower() for tool in used_tools), "Delegation tool should be present"
+        assert any(
+            isinstance(tool, TestTool) for tool in used_tools
+        ), "Task's TestTool should be present"
+        assert any(
+            isinstance(tool, CodeInterpreterTool) for tool in used_tools
+        ), "CodeInterpreterTool should be present"
+        assert any(
+            "delegate" in tool.name.lower() for tool in used_tools
+        ), "Delegation tool should be present"
 
         # Verify the total number of tools (TestTool + CodeInterpreter + 2 delegation tools)
-        assert len(used_tools) == 4, "Should have TestTool, CodeInterpreter, and 2 delegation tools"
+        assert (
+            len(used_tools) == 4
+        ), "Should have TestTool, CodeInterpreter, and 2 delegation tools"
+
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_multimodal_flag_adds_multimodal_tools():
@@ -3139,13 +3200,13 @@ def test_multimodal_flag_adds_multimodal_tools():
     crew = Crew(agents=[multimodal_agent], tasks=[task], process=Process.sequential)
 
     mock_task_output = TaskOutput(
-        description="Mock description",
-        raw="mocked output",
-        agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent"
     )
 
     # Mock execute_sync to verify the tools passed at runtime
-    with patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync:
+    with patch.object(
+        Task, "execute_sync", return_value=mock_task_output
+    ) as mock_execute_sync:
         crew.kickoff()
 
         # Get the tools that were actually used in execution
@@ -3153,13 +3214,14 @@ def test_multimodal_flag_adds_multimodal_tools():
         used_tools = kwargs["tools"]
 
         # Check that the multimodal tool was added
-        assert any(isinstance(tool, AddImageTool) for tool in used_tools), (
-            "AddImageTool should be present when agent is multimodal"
-        )
+        assert any(
+            isinstance(tool, AddImageTool) for tool in used_tools
+        ), "AddImageTool should be present when agent is multimodal"
 
         # Verify we have exactly one tool (just the AddImageTool)
         assert len(used_tools) == 1, "Should only have the AddImageTool"
 
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_multimodal_agent_image_tool_handling():
     """
@@ -3201,10 +3263,10 @@ def test_multimodal_agent_image_tool_handling():
     mock_task_output = TaskOutput(
         description="Mock description",
         raw="A detailed analysis of the image",
-        agent="Image Analyst"
+        agent="Image Analyst",
     )
 
-    with patch.object(Task, 'execute_sync') as mock_execute_sync:
+    with patch.object(Task, "execute_sync") as mock_execute_sync:
         # Set up the mock to return our task output
         mock_execute_sync.return_value = mock_task_output
 
@@ -3213,7 +3275,7 @@ def test_multimodal_agent_image_tool_handling():
 
         # Get the tools that were passed to execute_sync
         _, kwargs = mock_execute_sync.call_args
-        tools = kwargs['tools']
+        tools = kwargs["tools"]
 
         # Verify the AddImageTool is present and properly configured
         image_tools = [tool for tool in tools if tool.name == "Add image to content"]
@@ -3223,7 +3285,7 @@ def test_multimodal_agent_image_tool_handling():
         image_tool = image_tools[0]
         result = image_tool._run(
             image_url="https://example.com/test-image.jpg",
-            action="Please analyze this image"
+            action="Please analyze this image",
         )
 
         # Verify the tool returns the expected format
@@ -3233,6 +3295,7 @@ def test_multimodal_agent_image_tool_handling():
         assert result["content"][0]["type"] == "text"
         assert result["content"][1]["type"] == "image_url"
 
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_multimodal_agent_live_image_analysis():
     """
@@ -3246,7 +3309,7 @@ def test_multimodal_agent_live_image_analysis():
         allow_delegation=False,
         multimodal=True,
         verbose=True,
-        llm="gpt-4o"
+        llm="gpt-4o",
     )
 
     # Create a task for image analysis
@@ -3257,19 +3320,18 @@ def test_multimodal_agent_live_image_analysis():
         Image: {image_url}
         """,
         expected_output="A comprehensive description of the image contents.",
-        agent=image_analyst
+        agent=image_analyst,
     )
 
     # Create and run the crew
-    crew = Crew(
-        agents=[image_analyst],
-        tasks=[analyze_image]
-    )
+    crew = Crew(agents=[image_analyst], tasks=[analyze_image])
 
     # Execute with an image URL
-    result = crew.kickoff(inputs={
-        "image_url": "https://media.istockphoto.com/id/946087016/photo/aerial-view-of-lower-manhattan-new-york.jpg?s=612x612&w=0&k=20&c=viLiMRznQ8v5LzKTt_LvtfPFUVl1oiyiemVdSlm29_k="
-    })
+    result = crew.kickoff(
+        inputs={
+            "image_url": "https://media.istockphoto.com/id/946087016/photo/aerial-view-of-lower-manhattan-new-york.jpg?s=612x612&w=0&k=20&c=viLiMRznQ8v5LzKTt_LvtfPFUVl1oiyiemVdSlm29_k="
+        }
+    )
 
     # Verify we got a meaningful response
     assert isinstance(result.raw, str)

tests/knowledge/knowledge_test.py

@@ -578,14 +578,6 @@ def test_multiple_docling_sources():
     assert docling_source.content is not None
 
 
-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
@@ -606,6 +598,6 @@ def test_file_path_validation():
     # Test neither file_path nor file_paths provided
     with pytest.raises(
         ValueError,
-        match="file_path/file_paths must be a Path, str, or a list of these types"
+        match="file_path/file_paths must be a Path, str, or a list of these types",
     ):
         PDFKnowledgeSource()

tests/task_test.py

@@ -719,7 +719,7 @@ def test_interpolate_inputs():
     task = Task(
         description="Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting.",
         expected_output="Bullet point list of 5 interesting ideas about {topic}.",
-        output_file="/tmp/{topic}/output_{date}.txt"
+        output_file="/tmp/{topic}/output_{date}.txt",
     )
 
     task.interpolate_inputs(inputs={"topic": "AI", "date": "2024"})
@@ -742,41 +742,35 @@ def test_interpolate_inputs():
 def test_interpolate_only():
     """Test the interpolate_only method for various scenarios including JSON structure preservation."""
     task = Task(
-        description="Unused in this test",
-        expected_output="Unused in this test"
+        description="Unused in this test", expected_output="Unused in this test"
     )
-    
+
     # Test JSON structure preservation
     json_string = '{"info": "Look at {placeholder}", "nested": {"val": "{nestedVal}"}}'
     result = task.interpolate_only(
         input_string=json_string,
-        inputs={"placeholder": "the data", "nestedVal": "something else"}
+        inputs={"placeholder": "the data", "nestedVal": "something else"},
     )
     assert '"info": "Look at the data"' in result
     assert '"val": "something else"' in result
     assert "{placeholder}" not in result
     assert "{nestedVal}" not in result
-    
+
     # Test normal string interpolation
     normal_string = "Hello {name}, welcome to {place}!"
     result = task.interpolate_only(
-        input_string=normal_string,
-        inputs={"name": "John", "place": "CrewAI"}
+        input_string=normal_string, inputs={"name": "John", "place": "CrewAI"}
     )
     assert result == "Hello John, welcome to CrewAI!"
-    
+
     # Test empty string
-    result = task.interpolate_only(
-        input_string="",
-        inputs={"unused": "value"}
-    )
+    result = task.interpolate_only(input_string="", inputs={"unused": "value"})
     assert result == ""
-    
+
     # Test string with no placeholders
     no_placeholders = "Hello, this is a test"
     result = task.interpolate_only(
-        input_string=no_placeholders,
-        inputs={"unused": "value"}
+        input_string=no_placeholders, inputs={"unused": "value"}
     )
     assert result == no_placeholders
 
@@ -880,56 +874,65 @@ def test_key():
 def test_output_file_validation():
     """Test output file path validation."""
     # Valid paths
-    assert Task(
-        description="Test task",
-        expected_output="Test output",
-        output_file="output.txt"
-    ).output_file == "output.txt"
-    assert Task(
-        description="Test task",
-        expected_output="Test output",
-        output_file="/tmp/output.txt"
-    ).output_file == "tmp/output.txt"
-    assert Task(
-        description="Test task",
-        expected_output="Test output",
-        output_file="{dir}/output_{date}.txt"
-    ).output_file == "{dir}/output_{date}.txt"
-    
+    assert (
+        Task(
+            description="Test task",
+            expected_output="Test output",
+            output_file="output.txt",
+        ).output_file
+        == "output.txt"
+    )
+    assert (
+        Task(
+            description="Test task",
+            expected_output="Test output",
+            output_file="/tmp/output.txt",
+        ).output_file
+        == "tmp/output.txt"
+    )
+    assert (
+        Task(
+            description="Test task",
+            expected_output="Test output",
+            output_file="{dir}/output_{date}.txt",
+        ).output_file
+        == "{dir}/output_{date}.txt"
+    )
+
     # Invalid paths
     with pytest.raises(ValueError, match="Path traversal"):
         Task(
             description="Test task",
             expected_output="Test output",
-            output_file="../output.txt"
+            output_file="../output.txt",
         )
     with pytest.raises(ValueError, match="Path traversal"):
         Task(
             description="Test task",
             expected_output="Test output",
-            output_file="folder/../output.txt"
+            output_file="folder/../output.txt",
         )
     with pytest.raises(ValueError, match="Shell special characters"):
         Task(
             description="Test task",
             expected_output="Test output",
-            output_file="output.txt | rm -rf /"
+            output_file="output.txt | rm -rf /",
         )
     with pytest.raises(ValueError, match="Shell expansion"):
         Task(
             description="Test task",
             expected_output="Test output",
-            output_file="~/output.txt"
+            output_file="~/output.txt",
         )
     with pytest.raises(ValueError, match="Shell expansion"):
         Task(
             description="Test task",
             expected_output="Test output",
-            output_file="$HOME/output.txt"
+            output_file="$HOME/output.txt",
         )
     with pytest.raises(ValueError, match="Invalid template variable"):
         Task(
             description="Test task",
             expected_output="Test output",
-            output_file="{invalid-name}/output.txt"
+            output_file="{invalid-name}/output.txt",
         )

tests/test_manager_llm_delegation.py

@@ -8,48 +8,49 @@ from crewai.tools.agent_tools.base_agent_tools import BaseAgentTool
 
 class TestAgentTool(BaseAgentTool):
     """Concrete implementation of BaseAgentTool for testing."""
+
     def _run(self, *args, **kwargs):
         """Implement required _run method."""
         return "Test response"
 
-@pytest.mark.parametrize("role_name,should_match", [
-    ('Futel Official Infopoint', True),                    # exact match
-    ('  "Futel Official Infopoint"  ', True),             # extra quotes and spaces
-    ('Futel Official Infopoint\n', True),                 # trailing newline
-    ('"Futel Official Infopoint"', True),                 # embedded quotes
-    (' FUTEL\nOFFICIAL   INFOPOINT ', True),             # multiple whitespace and newline
-    ('futel official infopoint', True),                   # lowercase
-    ('FUTEL OFFICIAL INFOPOINT', True),                   # uppercase
-    ('Non Existent Agent', False),                        # non-existent agent
-    (None, False),                                        # None agent name
-])
+
+@pytest.mark.parametrize(
+    "role_name,should_match",
+    [
+        ("Futel Official Infopoint", True),  # exact match
+        ('  "Futel Official Infopoint"  ', True),  # extra quotes and spaces
+        ("Futel Official Infopoint\n", True),  # trailing newline
+        ('"Futel Official Infopoint"', True),  # embedded quotes
+        (" FUTEL\nOFFICIAL   INFOPOINT ", True),  # multiple whitespace and newline
+        ("futel official infopoint", True),  # lowercase
+        ("FUTEL OFFICIAL INFOPOINT", True),  # uppercase
+        ("Non Existent Agent", False),  # non-existent agent
+        (None, False),  # None agent name
+    ],
+)
 def test_agent_tool_role_matching(role_name, should_match):
     """Test that agent tools can match roles regardless of case, whitespace, and special characters."""
     # Create test agent
     test_agent = Agent(
-        role='Futel Official Infopoint',
-        goal='Answer questions about Futel',
-        backstory='Futel Football Club info',
-        allow_delegation=False
+        role="Futel Official Infopoint",
+        goal="Answer questions about Futel",
+        backstory="Futel Football Club info",
+        allow_delegation=False,
     )
 
     # Create test agent tool
     agent_tool = TestAgentTool(
-        name="test_tool",
-        description="Test tool",
-        agents=[test_agent]
+        name="test_tool", description="Test tool", agents=[test_agent]
     )
 
     # Test role matching
-    result = agent_tool._execute(
-        agent_name=role_name,
-        task='Test task',
-        context=None
-    )
+    result = agent_tool._execute(agent_name=role_name, task="Test task", context=None)
 
     if should_match:
-        assert "coworker mentioned not found" not in result.lower(), \
-            f"Should find agent with role name: {role_name}"
+        assert (
+            "coworker mentioned not found" not in result.lower()
+        ), f"Should find agent with role name: {role_name}"
     else:
-        assert "coworker mentioned not found" in result.lower(), \
-            f"Should not find agent with role name: {role_name}"
+        assert (
+            "coworker mentioned not found" in result.lower()
+        ), f"Should not find agent with role name: {role_name}"

tests/test_task_guardrails.py

@@ -15,10 +15,7 @@ def test_task_without_guardrail():
     agent.execute_task.return_value = "test result"
     agent.crew = None
 
-    task = Task(
-        description="Test task",
-        expected_output="Output"
-    )
+    task = Task(description="Test task", expected_output="Output")
 
     result = task.execute_sync(agent=agent)
     assert isinstance(result, TaskOutput)
@@ -27,6 +24,7 @@ def test_task_without_guardrail():
 
 def test_task_with_successful_guardrail():
     """Test that successful guardrail validation passes transformed result."""
+
     def guardrail(result: TaskOutput):
         return (True, result.raw.upper())
 
@@ -35,11 +33,7 @@ def test_task_with_successful_guardrail():
     agent.execute_task.return_value = "test result"
     agent.crew = None
 
-    task = Task(
-        description="Test task",
-        expected_output="Output",
-        guardrail=guardrail
-    )
+    task = Task(description="Test task", expected_output="Output", guardrail=guardrail)
 
     result = task.execute_sync(agent=agent)
     assert isinstance(result, TaskOutput)
@@ -48,22 +42,20 @@ def test_task_with_successful_guardrail():
 
 def test_task_with_failing_guardrail():
     """Test that failing guardrail triggers retry with error context."""
+
     def guardrail(result: TaskOutput):
         return (False, "Invalid format")
 
     agent = Mock()
     agent.role = "test_agent"
-    agent.execute_task.side_effect = [
-        "bad result",
-        "good result"
-    ]
+    agent.execute_task.side_effect = ["bad result", "good result"]
     agent.crew = None
 
     task = Task(
         description="Test task",
         expected_output="Output",
         guardrail=guardrail,
-        max_retries=1
+        max_retries=1,
     )
 
     # First execution fails guardrail, second succeeds
@@ -77,6 +69,7 @@ def test_task_with_failing_guardrail():
 
 def test_task_with_guardrail_retries():
     """Test that guardrail respects max_retries configuration."""
+
     def guardrail(result: TaskOutput):
         return (False, "Invalid format")
 
@@ -89,7 +82,7 @@ def test_task_with_guardrail_retries():
         description="Test task",
         expected_output="Output",
         guardrail=guardrail,
-        max_retries=2
+        max_retries=2,
     )
 
     with pytest.raises(Exception) as exc_info:
@@ -102,6 +95,7 @@ def test_task_with_guardrail_retries():
 
 def test_guardrail_error_in_context():
     """Test that guardrail error is passed in context for retry."""
+
     def guardrail(result: TaskOutput):
         return (False, "Expected JSON, got string")
 
@@ -113,11 +107,12 @@ def test_guardrail_error_in_context():
         description="Test task",
         expected_output="Output",
         guardrail=guardrail,
-        max_retries=1
+        max_retries=1,
     )
 
     # Mock execute_task to succeed on second attempt
     first_call = True
+
     def execute_task(task, context, tools):
         nonlocal first_call
         if first_call:

uv.lock

@@ -1,18 +1,18 @@
 version = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
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-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux'",
-    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux')",
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-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux'",
-    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux')",
-    "python_full_version >= '3.12.4' and platform_system == 'Darwin'",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux'",
-    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux')",
+    "python_full_version < '3.11' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12.4' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
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 [[package]]
@@ -683,7 +683,7 @@ requires-dist = [
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     { name = "json-repair", specifier = ">=0.25.2" },
     { name = "jsonref", specifier = ">=1.1.0" },
-    { name = "litellm", specifier = ">=1.56.4" },
+    { name = "litellm", specifier = ">=1.44.22" },
     { name = "mem0ai", marker = "extra == 'mem0'", specifier = ">=0.1.29" },
     { name = "openai", specifier = ">=1.13.3" },
     { name = "openpyxl", specifier = ">=3.1.5" },
@@ -2229,24 +2229,24 @@ wheels = [
 
 [[package]]
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-version = "1.56.4"
+version = "1.50.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohttp" },
     { name = "click" },
-    { name = "httpx" },
     { name = "importlib-metadata" },
     { name = "jinja2" },
     { name = "jsonschema" },
     { name = "openai" },
     { name = "pydantic" },
     { name = "python-dotenv" },
+    { name = "requests" },
     { name = "tiktoken" },
     { name = "tokenizers" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/83/ea/2c51d16c244a64dd3f0bdb1757aef798cf943b92e5695da04e3e42ba09e0/litellm-1.56.4.tar.gz", hash = "sha256:2808ca21878d200f7676a3d11e5bf2b5e3349ae504628f279cd7297c7dbd2038", size = 6284983 }
+sdist = { url = "https://files.pythonhosted.org/packages/a7/45/4d54617b267a96f1f7c17c0010ea1aba20e30a3672b873fe92a6001e5952/litellm-1.50.2.tar.gz", hash = "sha256:b244c9a0e069cc626b85fb9f5cc252114aaff1225500da30ce0940f841aef8ea", size = 6096949 }
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+    { url = "https://files.pythonhosted.org/packages/22/f3/89a4d65d1b9286eb5ac6a6e92dd93523d92f3142a832e60c00d5cad64176/litellm-1.50.2-py3-none-any.whl", hash = "sha256:99cac60c78037946ab809b7cfbbadad53507bb2db8ae39391b4be215a0869fdd", size = 6318265 },
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@@ -2900,7 +2900,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
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@@ -2927,9 +2927,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.4.5.107"
 source = { registry = "https://pypi.org/simple" }
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-    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
+    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
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@@ -2940,7 +2940,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.1.0.106"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
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@@ -3040,7 +3040,7 @@ wheels = [
 
 [[package]]
 name = "openai"
-version = "1.58.1"
+version = "1.52.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "anyio" },
@@ -3052,9 +3052,9 @@ dependencies = [
     { name = "tqdm" },
     { name = "typing-extensions" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/80/ac/54c76352d493866637756b7c0ecec44f0b5bafb8fe753d98472cf6cfe4ce/openai-1.52.1.tar.gz", hash = "sha256:383b96c7e937cbec23cad5bf5718085381e4313ca33c5c5896b54f8e1b19d144", size = 310069 }
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+    { url = "https://files.pythonhosted.org/packages/ad/31/28a83e124e9f9dd04c83b5aeb6f8b1770f45addde4dd3d34d9a9091590ad/openai-1.52.1-py3-none-any.whl", hash = "sha256:f23e83df5ba04ee0e82c8562571e8cb596cd88f9a84ab783e6c6259e5ffbfb4a", size = 386945 },
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 [[package]]
@@ -5165,7 +5165,7 @@ name = "triton"
 version = "3.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "filelock", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "filelock", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
 ]
 wheels = [
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