Fix link in docs; don't include seed in OpenAI request if it isn't ne…

…eded

chatlas/_openai.py

@@ -294,10 +294,12 @@ def _chat_perform_args(
             "stream": stream,
             "messages": self._as_message_param(turns),
             "model": self._model,
-            "seed": self._seed,
             **(kwargs or {}),
         }
 
+        if self._seed is not None:
+            kwargs_full["seed"] = self._seed
+
         if tool_schemas:
             kwargs_full["tools"] = tool_schemas
 

docs/get-started.qmd

@@ -82,7 +82,7 @@ Learn more in the article on [structured data extraction](structured-data.qmd).
 
 LLMs can also be useful to solve general programming problems. For example:
 
-* You can use LLMs to explain code, or even ask them to [generate a diagram](https://bsky.app/profile/daviddiviny.bsky.social/post/3lb6kjaen4c2u).
+* You can use LLMs to explain code, or even ask them to [generate a diagram](https://bsky.app/profile/daviddiviny.com/post/3lb6kjaen4c2u).
 
 * You can ask an LLM to analyse your code for potential code smells or security issues. You can do this a function at a time, or explore including the entire source code for your package or script in the prompt.