Regenerate llms.txt to include bedrock

Author: Eugenumber1

llms.txt

@@ -1432,6 +1432,41 @@ You can use OpenInference's `using_attributes` context manager to capture additi
 ```python
 from openinference.instrumentation import using_attributes
 
+def main():
+  with using_attributes(
+      session_id="my-test-session",
+      user_id="my-test-user",
+      tags=["tag-1", "tag-2"],
+      metadata={"foo": "bar"},
+  ):
+      # Your LLM call
+```
+
+      ### AWS Bedrock
+
+        Installation:
+
+        ```bash
+        pip install openinference-instrumentation-bedrock
+        ```
+
+        Then, instrument your AWS calls:
+
+        ```python
+        from openinference.instrumentation.bedrock import BedrockInstrumentor
+
+        BedrockInstrumentor().instrument()
+        ```
+
+        That's it! You can now see the traces for your AWS Bedrock calls in the LangWatch dashboard.
+
+        ## Capturing Metadata
+
+You can use OpenInference's `using_attributes` context manager to capture additional information for your LLM calls, such as the user_id, session_id (equivalent to thread id), tags and metadata:
+
+```python
+from openinference.instrumentation import using_attributes
+
 def main():
   with using_attributes(
       session_id="my-test-session",