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Merge pull request ag2ai#243 from ag2ai/version0-6-0-b1
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Bump version to 0.6.0b1
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marklysze authored Dec 20, 2024
2 parents ceb392b + 4c2288c commit c16b9b3
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2 changes: 1 addition & 1 deletion autogen/version.py
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#
# SPDX-License-Identifier: Apache-2.0

__version__ = "0.5.3"
__version__ = "0.6.0b1"
4 changes: 2 additions & 2 deletions test/agentchat/contrib/test_web_surfer.py
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sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from test_assistant_agent import KEY_LOC, OAI_CONFIG_LIST # noqa: E402

BLOG_POST_URL = "https://ag2ai.github.io/ag2/blog/2023/04/21/LLM-tuning-math"
BLOG_POST_TITLE = "Does Model and Inference Parameter Matter in LLM Applications? - A Case Study for MATH | AG2"
BLOG_POST_URL = "https://docs.ag2.ai/blog/2023-04-21-LLM-tuning-math"
BLOG_POST_TITLE = "Does Model and Inference Parameter Matter in LLM Applications? - A Case Study for MATH - AG2"
BING_QUERY = "Microsoft"

try:
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4 changes: 2 additions & 2 deletions test/test_browser_utils.py
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import requests
from agentchat.test_assistant_agent import KEY_LOC # noqa: E402

BLOG_POST_URL = "https://ag2ai.github.io/ag2/blog/2023/04/21/LLM-tuning-math"
BLOG_POST_TITLE = "Does Model and Inference Parameter Matter in LLM Applications? - A Case Study for MATH | AG2"
BLOG_POST_URL = "https://docs.ag2.ai/blog/2023-04-21-LLM-tuning-math"
BLOG_POST_TITLE = "Does Model and Inference Parameter Matter in LLM Applications? - A Case Study for MATH - AG2"
BLOG_POST_STRING = "Large language models (LLMs) are powerful tools that can generate natural language texts for various applications, such as chatbots, summarization, translation, and more. GPT-4 is currently the state of the art LLM in the world. Is model selection irrelevant? What about inference parameters?"

WIKIPEDIA_URL = "https://en.wikipedia.org/wiki/Microsoft"
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