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LLMstudio-core Version 1.0.3 LLMstudio-tracker 1.1.0 LLMstudio 1.0.3 LLMstudio-proxy 1.0.5 (#195)
* chore: Provider Unit Tests (#173)
* chore: added unit tests for core provider. small bugfix on calculate_metrics of provider
* added unit tests and docstring for join chunks
* added unit tests and docstrings for calculate_cost on provider
* added unit tests and docstrings for input_to_string on provider
* added unit tests and docstrings for chat and achat
* added unit tests and docstrings for chat and achat
* chore: cleaned provider unit tests
* chore: separated provider tests into different files. fixed some of its tests
* chore: linted code
* chore: deleted some comments
* chore: linted
* chore: Added Azure Provider Unit Tests (#176)
* chore: added unit tests for azure provider
* chore: added more unit tests and docstrings on azure, removed redundant comments
* chore: added unit tests for generate client on Azure Provider
* chore: separated azure unit tests into separate files. fixed some of its tests.
* chore: linted code
* chore: new line
Signed-off-by: Diogo Goncalves <[email protected]>
---------
Signed-off-by: Diogo Goncalves <[email protected]>
Co-authored-by: Diogo Goncalves <[email protected]>
* [fix] bump prerelease version in pyproject.toml
* chore: rename action
* feat: added action to run tests on PR
* chore: comments
* fix: fix azure config tests
* chore: style format
* fix: tests workflow
* Feature/prompt management (#200)
* [feat] prompt management
* [feat] testing
* [feat] only one active prompt
* [fix] bump prerelease version in pyproject.toml
* [bugfix] return empty prompt
* [fix] bump prerelease version in pyproject.toml
* Update CONTRIBUTING.md
Signed-off-by: Diogo Goncalves <[email protected]>
* Feat/ Use Openai Usage to calculate Cache and Reasoning Costs (#199)
* feat: collects usage from stream and non stream openai calls
* chore: refactored to provider to have a Metrics obj
* feat: calculate_metrics now takes into account cached & reasoning tokens. Prices of openai models updated
* fix: added caching tokens to model config obj
* chore: added integration test for cache and reasoning
* chore: added integration test for usage retrieval when max tokens reached
* chore: uncommented runs from examples/core.py
* fix: bugfix regarding usage on function calling. added a test for this
* chore: merged with develop
* chore: extracted provider data structures to another file
* chore: renamed to private methods some within provider. splitted integration tests into 2 files
* chore: deletion of a todo comment
* chore: update poetry.lock
* chore: specify python versions
* chore: moving langchain integration tests to sdk
* chore: format
* feat: added support for o3-mini and updated o1-mini prices. also updated integration tests to support o3 (#202)
* chore: removed duplicated code; removed duplicated integration tests
* chore: updated github actions to run integration tests
* chore: fixing github actions
* chore: fixing github actions again
* chore: fixing github actions again-x2
* chore: fixing github actions again-x2
* chore: added cache of dependencies to integration-tests in githubaction
* chore: updated integration-tests action to inject github secrets into env
* Feat/bedrock support for Nova models through the ConverseAPI (#207)
* feat: added support for bedrock nova models
* feat: tokens are now read from usage if available to ensure accuracy
* chore: removed duplicated integration tests folder in wrong place
* feat: refactored bedrock provider into being a single file instead of folder
* chore: renamed bedrock to bedrock-converse in examples/core.py
* chore: renamed bedrock in config.yaml
* [fix] bump prerelease version in pyproject.toml
* [fix] bump prerelease version in pyproject.toml
* [fix] bump prerelease version in pyproject.toml
* Update pyproject.toml
updated llmstudio-tracker version
Signed-off-by: Miguel Neves <[email protected]>
* [fix] bump prerelease version in pyproject.toml
* chore: updated llmstudio sdk poetry.lock
---------
Signed-off-by: Diogo Goncalves <[email protected]>
Signed-off-by: Miguel Neves <[email protected]>
Co-authored-by: Miguel Neves <[email protected]>
Co-authored-by: GitHub Actions <[email protected]>
Co-authored-by: brunoalho99 <[email protected]>
Co-authored-by: brunoalho <[email protected]>
Co-authored-by: Miguel Neves <[email protected]>
Copy file name to clipboardExpand all lines: CONTRIBUTING.md
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@@ -9,9 +9,30 @@ Thank you for expressing your interest in contributing to LLMstudio. To ensure t
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3. Follow our repo guidelines
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- Ensure that you update any relevant docstrings and comments within your code
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- Run `pre-commit run --all-files` to lint your code
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4. Sign your commits. Without signed commits, your changes will not be accepted for main.
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## Branches
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- All development happens in per-feature branches prefixed by contributor's
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initials. For example `feat/feature_name`.
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- Approved PRs are merged to the `main` branch.
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## Alpha releases:
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You need to have your changes in the `develop` branch in order to push a new alpha version of any library `(llmstudio, llmstudio-proxy, llmstudio-tracker)`. Therefore, first guarantee that you feature branch is reviewed and working before merging to develop.
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Process:
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- Ensure the `feature/**` you worked is passing the tests and has the approvals necessary.
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- Merge to `develop`
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- Ensure the changes are in the develop branch
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- Use GitHub Actions to initiate the pre-release process: [PyPI pre-release any module](https://github.com/TensorOpsAI/LLMstudio/actions/workflows/upload-pypi-dev.yml)
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- Select the target library `(llmstudio, llmstudio-proxy, llmstudio-tracker)` and the target version for the final release (e.g., 1.1.0). Consult main branch and PyPI for current versions.
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- Run the workflow.
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- The workflow will automatically bump the version and create an alpha release of the library/module specified
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- The workflow will automatically push changes back (bump version) to the develop branch
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Repeat the process in case your `development` branch contains changes in multiple libraries.
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## Final releases:
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Once you're happy with the versions, create the Release notes on the PR between `develop` and `main` and merge to main branch when ready for full release. The workflow will automatically remove any `alpha` tag in your libraries and push the versions for every library/module that suffered changes.
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