fix: regenerate uv.lock to resolve TOML parse errors

- Remove corrupted uv.lock file that had missing version field
- Regenerate with uv sync to ensure proper dependency resolution

Co-Authored-By: Jo\u00E3o <joao@crewai.com>

docs/en/observability/neatlogs.mdx

@@ -10,8 +10,6 @@ Neatlogs helps you **see what your agent did**, **why**, and **share it**.
 
 It captures every step: thoughts, tool calls, responses, evaluations. No raw logs. Just clear, structured traces. Great for debugging and collaboration.
 
----
-
 ## Why use Neatlogs?
 
 CrewAI agents use multiple tools and reasoning steps. When something goes wrong, you need context — not just errors.
@@ -37,8 +35,6 @@ The best UX to view a CrewAI trace. Post comments anywhere you want. Use AI to d
 ![Ai Chat Bot With A Trace](/images/neatlogs-4.png)
 ![Comments Drawer](/images/neatlogs-5.png)
 
----
-
 ## Core Features
 
 - **Trace Viewer**: Track thoughts, tools, and decisions in sequence
@@ -49,8 +45,6 @@ The best UX to view a CrewAI trace. Post comments anywhere you want. Use AI to d
 - **Ask the Trace (AI)**: Chat with your trace using Neatlogs AI bot
 - **Public Sharing**: Publish trace links to your community
 
----
-
 ## Quick Setup with CrewAI
 
 <Steps>
@@ -61,7 +55,7 @@ The best UX to view a CrewAI trace. Post comments anywhere you want. Use AI to d
     ```bash
     pip install neatlogs
     ```
-    (Latest version 0.8.0, Python 3.8+; MIT license) :contentReference[oaicite:1]{index=1}
+    (Latest version 0.8.0, Python 3.8+; MIT license)
   </Step>
   <Step title="Initialize Neatlogs">
     Before starting Crew agents, add:
@@ -76,18 +70,18 @@ The best UX to view a CrewAI trace. Post comments anywhere you want. Use AI to d
   </Step>
 </Steps>
 
----
+
 
 ## Under the Hood
 
 According to GitHub, Neatlogs:
 
-- Captures thoughts, tool calls, responses, errors, and token stats :contentReference[oaicite:2]{index=2}
-- Supports AI-powered task generation and robust evaluation workflows :contentReference[oaicite:3]{index=3}
+- Captures thoughts, tool calls, responses, errors, and token stats
+- Supports AI-powered task generation and robust evaluation workflows
 
 All with just two lines of code.
 
----
+
 
 ## Watch It Work
 
@@ -113,7 +107,7 @@ All with just two lines of code.
   allowFullScreen
 ></iframe>
 
----
+
 
 ## Links & Support
 
@@ -121,9 +115,9 @@ All with just two lines of code.
 - 🔐 [Dashboard & API Key](https://app.neatlogs.com/)
 - 🐦 [Follow on Twitter](https://twitter.com/neatlogs)
 - 📧 Contact: hello@neatlogs.com
-- 🛠 [GitHub SDK](https://github.com/NeatLogs/neatlogs) :contentReference[oaicite:4]{index=4}
+- 🛠 [GitHub SDK](https://github.com/NeatLogs/neatlogs)
+
 
----
 
 ## TL;DR
 

src/crewai/llm.py

@@ -311,6 +311,7 @@ class LLM(BaseLLM):
         callbacks: List[Any] = [],
         reasoning_effort: Optional[Literal["none", "low", "medium", "high"]] = None,
         stream: bool = False,
+        extra_headers: Optional[Dict[str, str]] = None,
         **kwargs,
     ):
         self.model = model
@@ -337,6 +338,7 @@ class LLM(BaseLLM):
         self.additional_params = kwargs
         self.is_anthropic = self._is_anthropic_model(model)
         self.stream = stream
+        self.extra_headers = extra_headers
 
         litellm.drop_params = True
 
@@ -408,6 +410,7 @@ class LLM(BaseLLM):
             "stream": self.stream,
             "tools": tools,
             "reasoning_effort": self.reasoning_effort,
+            "extra_headers": self.extra_headers,
             **self.additional_params,
         }
 

tests/llm_test.py

@@ -509,6 +509,85 @@ def test_deepseek_r1_with_open_router():
     assert "Paris" in result
 
 
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_llm_passes_extra_headers():
+    """Test that extra_headers parameter is passed to litellm.completion."""
+    extra_headers = {
+        "X-Custom-Auth": "bearer token123",
+        "X-API-Version": "v1.0"
+    }
+    
+    llm = LLM(
+        model="gpt-4o-mini",
+        extra_headers=extra_headers,
+    )
+
+    messages = [{"role": "user", "content": "Hello, world!"}]
+
+    with patch("litellm.completion") as mocked_completion:
+        mock_message = MagicMock()
+        mock_message.content = "Test response"
+        mock_choice = MagicMock()
+        mock_choice.message = mock_message
+        mock_response = MagicMock()
+        mock_response.choices = [mock_choice]
+        mock_response.usage = {
+            "prompt_tokens": 5,
+            "completion_tokens": 5,
+            "total_tokens": 10,
+        }
+
+        mocked_completion.return_value = mock_response
+
+        result = llm.call(messages)
+
+        mocked_completion.assert_called_once()
+
+        _, kwargs = mocked_completion.call_args
+
+        assert kwargs["extra_headers"] == extra_headers
+
+        assert kwargs["model"] == "gpt-4o-mini"
+        assert kwargs["messages"] == messages
+
+        assert result == "Test response"
+
+
+def test_llm_extra_headers_none_by_default():
+    """Test that extra_headers defaults to None and doesn't break existing functionality."""
+    llm = LLM(model="gpt-4o-mini")
+    
+    messages = [{"role": "user", "content": "Hello, world!"}]
+
+    with patch("litellm.completion") as mocked_completion:
+        mock_message = MagicMock()
+        mock_message.content = "Test response"
+        mock_choice = MagicMock()
+        mock_choice.message = mock_message
+        mock_response = MagicMock()
+        mock_response.choices = [mock_choice]
+        mock_response.usage = {
+            "prompt_tokens": 5,
+            "completion_tokens": 5,
+            "total_tokens": 10,
+        }
+
+        mocked_completion.return_value = mock_response
+
+        result = llm.call(messages)
+
+        mocked_completion.assert_called_once()
+
+        _, kwargs = mocked_completion.call_args
+
+        assert "extra_headers" not in kwargs
+
+        assert kwargs["model"] == "gpt-4o-mini"
+        assert kwargs["messages"] == messages
+
+        assert result == "Test response"
+
+
 def assert_event_count(
     mock_emit,
     expected_completed_tool_call: int = 0,