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autogen/python/samples/agentchat_chainlit/model_config.yaml

model_config.yaml 147 B
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sample: Update chainlit sample with streaming (#5304) * Separate agent and team examples * Add streaming output * Refactor to better use the chainlit API * Removed the user proxy example -- this needs a bit more work to improve the presentation on the ChainLit interface. --------- Co-authored-by: Victor Dibia <victordibia@microsoft.com>
1 year ago
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docs: Clarify missing dependencies in documentation (fix #6076) (#6406) It clarifies the missing dependencies of all README.md in python/samples/ - Added explicit mention of required dependencies - Improved instructions for initial setup <!-- Thank you for your contribution! Please review https://microsoft.github.io/autogen/docs/Contribute before opening a pull request. --> <!-- Please add a reviewer to the assignee section when you create a PR. If you don't have the access to it, we will shortly find a reviewer and assign them to your PR. --> ## Why are these changes needed? According to issue #6076, several dependencies were missing from the requirements.txt and not mentioned in the README.md instructions. This change adds the missing installation instructions to ensure that users can run the demo smoothly. ## Related issue number Closes #6076 <!-- For example: "Closes #1234" --> ## Checks - [x] I've included any doc changes needed for <https://microsoft.github.io/autogen/>. See <https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to build and test documentation locally. - [x] I've added tests (if relevant) corresponding to the changes introduced in this PR. - [x] I've made sure all auto checks have passed. Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
1 year ago
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  1. # Use Open AI with key

  2. provider: autogen_ext.models.openai.OpenAIChatCompletionClient

  3. config:

  4.   model: gpt-4o

  5.   api_key: REPLACE_WITH_YOUR_API_KEY

This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.