0.1.244

• Tweaks to LanceDocChatAgent and related Agents (QueryPlanner, Critic, etc) to accomodate deviations
• In multi-agent chats, so total cost across all agents, in addition to cumul cost of current agent

0.1.243

Update toml to latest DuckDuckGo (6.0.0) so we no longer get the rate limit error

0.1.242

Support OpenAI GPT-4o -- this is now the default LLM when no model is specified.

To explicitly specify the LLM, you can do, for example:

import langroid.language_models as lm
llm = lm.OpenAIGPT( lm.OpenAIGPTConfig(chat_model = lm.OpenAIChatModel.GPT4o))

And recall you can run most of the example scripts with a model specified via -m gpt-4o,
and pytests using --m gpt-4o

0.1.241

Gemini support via litellm. See docs https://langroid.github.io/langroid/tutorials/non-openai-llms/

Essentially, you need to:

• install langroid with the litellm extra, e.g. pip install "langroid[litellm]"
• set up your GEMINI_API_KEY in the .env file or shell env
• specify chat_model="litellm/gemini/gemini-1.5-pro-latest"

0.1.240

QdrantDB, QdrantDBConfig: support for sparse embeddings

0.1.239

Change python range to >= 3.10 < 3.12 to avoid colab errors (used to be >= 3.11)

0.1.238

Minor type sig change

0.1.237

Upgrade to latest DuckDuckGoSearch

0.1.236

Groq support. For any model hosted on groq, you can use it similar to how you'd use ollama, e.g.
chat_model = "groq/llama3-8b-8192".
See the groq section here: https://langroid.github.io/langroid/tutorials/local-llm-setup/

0.1.235

New param in Task.run(), Task.run_asyn(): session_id which is used as a key to look up various settings in Redis cache.
Currently only used to look up "kill status" - this allows killing a running task, either by task.kill()
or by the classmethod Task.kill_session(session_id)

For example usage, see the test_task_kill in tests/main/test_task.py