Merge branch 'main' into main

.github/workflows/lfs-check.yml

@@ -0,0 +1,15 @@
+name: "Git LFS Check"
+
+on: pull_request
+permissions: {}
+jobs:
+  lfs-check:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          lfs: true
+      - name: Check Git LFS files for consistency
+        run: |
+          git lfs fsck

OAI_CONFIG_LIST_sample

@@ -5,7 +5,8 @@
 [
     {
         "model": "gpt-4",
-        "api_key": "<your OpenAI API key here>"
+        "api_key": "<your OpenAI API key here>",
+        "tags": ["gpt-4", "tool"]
     },
     {
         "model": "<your Azure OpenAI deployment name>",

README.md

@@ -14,7 +14,7 @@
     <img src="https://github.com/microsoft/autogen/blob/main/website/static/img/flaml.svg"  width=200>
     <br>
 </p> -->
-:fire: Mar 26, 2024: Andrew Ng gave a shoutout to AutoGen in [What's next for AI agentic workflows](https://youtu.be/sal78ACtGTc?si=JduUzN_1kDnMq0vF) at Sequoia Capital's AI Ascent.
+:fire: Apr 17, 2024: Andrew Ng cited AutoGen in [The Batch newsletter](https://www.deeplearning.ai/the-batch/issue-245/) and [What's next for AI agentic workflows](https://youtu.be/sal78ACtGTc?si=JduUzN_1kDnMq0vF) at Sequoia Capital's AI Ascent (Mar 26).
 
 :fire: Mar 3, 2024: What's new in AutoGen? 📰[Blog](https://microsoft.github.io/autogen/blog/2024/03/03/AutoGen-Update); 📺[Youtube](https://www.youtube.com/watch?v=j_mtwQiaLGU).
 

autogen/agentchat/conversable_agent.py

@@ -1120,19 +1120,18 @@ def my_summary_method(
     @staticmethod
     def _last_msg_as_summary(sender, recipient, summary_args) -> str:
         """Get a chat summary from the last message of the recipient."""
+        summary = ""
         try:
             content = recipient.last_message(sender)["content"]
             if isinstance(content, str):
                 summary = content.replace("TERMINATE", "")
             elif isinstance(content, list):
                 # Remove the `TERMINATE` word in the content list.
-                summary = [
-                    {**x, "text": x["text"].replace("TERMINATE", "")} if isinstance(x, dict) and "text" in x else x
-                    for x in content
-                ]
+                summary = "\n".join(
+                    x["text"].replace("TERMINATE", "") for x in content if isinstance(x, dict) and "text" in x
+                )
         except (IndexError, AttributeError) as e:
             warnings.warn(f"Cannot extract summary using last_msg: {e}. Using an empty str as summary.", UserWarning)
-            summary = ""
         return summary
 
     @staticmethod
@@ -1325,7 +1324,7 @@ def _generate_oai_reply_from_client(self, llm_client, messages, cache) -> Union[
         extracted_response = llm_client.extract_text_or_completion_object(response)[0]
 
         if extracted_response is None:
-            warnings.warn("Extracted_response from {response} is None.", UserWarning)
+            warnings.warn(f"Extracted_response from {response} is None.", UserWarning)
             return None
         # ensure function and tool calls will be accepted when sent back to the LLM
         if not isinstance(extracted_response, str) and hasattr(extracted_response, "model_dump"):

autogen/oai/openai_utils.py

@@ -90,7 +90,7 @@ def is_valid_api_key(api_key: str) -> bool:
     Returns:
         bool: A boolean that indicates if input is valid OpenAI API key.
     """
-    api_key_re = re.compile(r"^sk-[A-Za-z0-9]{32,}$")
+    api_key_re = re.compile(r"^sk-(proj-)?[A-Za-z0-9]{32,}$")
     return bool(re.fullmatch(api_key_re, api_key))
 
 

autogen/version.py

@@ -1 +1 @@
-__version__ = "0.2.25"
+__version__ = "0.2.26"