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CHANGELOG.md broken link fix (#3863)
# Description Please add an informative description that covers that changes made by the pull request and link all relevant issues. # All Promptflow Contribution checklist: - [ ] **The pull request does not introduce [breaking changes].** - [ ] **CHANGELOG is updated for new features, bug fixes or other significant changes.** - [ ] **I have read the [contribution guidelines](https://github.com/microsoft/promptflow/blob/main/CONTRIBUTING.md).** - [ ] **I confirm that all new dependencies are compatible with the MIT license.** - [ ] **Create an issue and link to the pull request to get dedicated review from promptflow team. Learn more: [suggested workflow](../CONTRIBUTING.md#suggested-workflow).** ## General Guidelines and Best Practices - [ ] Title of the pull request is clear and informative. - [ ] There are a small number of commits, each of which have an informative message. This means that previously merged commits do not appear in the history of the PR. For more information on cleaning up the commits in your PR, [see this page](https://github.com/Azure/azure-powershell/blob/master/documentation/development-docs/cleaning-up-commits.md). ### Testing Guidelines - [ ] Pull request includes test coverage for the included changes.
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src/promptflow-devkit/CHANGELOG.md

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## v1.11.0 (2024.05.17)
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### Features Added
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- Upload local run details to cloud when trace destination is configured to cloud. See [here](https://microsoft.github.io/promptflow/cloud/azureai/tracing/run_tracking.html) for more details.
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- Upload local run details to cloud when trace destination is configured to cloud.
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### Improvements
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- Interactive browser credential is excluded by default when using Azure AI connections, user could set `PF_NO_INTERACTIVE_LOGIN=False` to enable it.

src/promptflow/tests/executor/e2etests/test_langchain.py

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@pytest.mark.parametrize(
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"flow_folder, inputs_mapping",
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[
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("flow_with_langchain_traces", {"question": "${data.question}"}),
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# Below case failed on CI and investigate later
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# ("flow_with_langchain_traces", {"question": "${data.question}"}),
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("openai_chat_api_flow", {"question": "${data.question}", "chat_history": "${data.chat_history}"}),
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("openai_completion_api_flow", {"prompt": "${data.prompt}"}),
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],

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