Resolve snyk warnings and expand model options

vizro-ai/changelog.d/20231208_135526_lingyi_zhang_snyk_issues_1208.md

@@ -0,0 +1,46 @@
+<!--
+A new scriv changelog fragment.
+
+Uncomment the section that is right (remove the HTML comment wrapper).
+-->
+
+<!--
+### Highlights ✨
+
+- A bullet item for the Highlights ✨ category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Removed
+
+- A bullet item for the Removed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Added
+
+- A bullet item for the Added category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Changed
+
+- A bullet item for the Changed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Deprecated
+
+- A bullet item for the Deprecated category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Fixed
+
+- A bullet item for the Fixed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+
+### Security
+
+- Bump langchain version to 0.0.329, suggested by snyk ([#204](https://github.com/mckinsey/vizro/pull/204))

vizro-ai/docs/pages/user_guides/model_config.md

@@ -35,14 +35,14 @@ Vizro-AI currently supports the following LLMs:
 
 ### OpenAI models
 
-- gpt-3.5-turbo-0613
+- gpt-3.5-turbo-0613 (to be deprecated on June 13, 2024)
 - gpt-4-0613
+- gpt-3.5-turbo-1106 (under testing)
+- gpt-4-1106-preview (under testing, not suitable for production use)
 
 These models provide different levels of performance and
-cost. In general, `gpt-3.5-turbo-0613` is the most cost-effective model, which would be a good
-starting point for most users. `gpt-4-0613` is more powerful than the other, like
-it allows for more tokens per request.
-You can refer to these models' [capabilities](https://platform.openai.com/docs/models/overview)
+cost. In general, the `gpt-3.5-turbo` collection provides the most cost-effective models,
+which would be a good starting point for most users. `gpt-4` models are more powerful than `gpt-3` models, e.g. they allow for more tokens per request. You can refer to these models' [capabilities](https://platform.openai.com/docs/models/overview)
 and [pricing](https://openai.com/pricing) for more information.
 
 We are working on supporting more models and more vendors. Please stay tuned!

vizro-ai/pyproject.toml

@@ -16,7 +16,7 @@ dependencies = [
   "pandas",
   "tabulate",
   "openai>=0.27.8,<1.0.0",  # TODO add support for openai>=1.0.0
-  "langchain==0.0.325",
+  "langchain==0.0.329",
   "python-dotenv>=1.0.0",  # TODO decide env var management to see if we need this
   "vizro>=0.1.4",  # TODO set upper bound later
   "ipython>=8.10.0",  # not directly required, pinned by Snyk to avoid a vulnerability: https://app.snyk.io/vuln/SNYK-PYTHON-IPYTHON-3318382

vizro-ai/snyk/requirements.txt

@@ -1,7 +1,7 @@
 pandas
 tabulate
 openai>=0.27.8,<1.0.0
-langchain==0.0.325
+langchain==0.0.329
 python-dotenv>=1.0.0
 vizro>=0.1.4
 ipython>=8.10.0

vizro-ai/src/vizro_ai/chains/_llm_models.py

@@ -22,6 +22,16 @@
         "max_tokens": 8192,
         "wrapper": ChatOpenAI,
     },
+    {
+        "name": "gpt-3.5-turbo-1106",
+        "max_tokens": 16385,
+        "wrapper": ChatOpenAI,
+    },
+    {
+        "name": "gpt-4-1106-preview",
+        "max_tokens": 128000,
+        "wrapper": ChatOpenAI,
+    },
 ]
 
 

vizro-core/changelog.d/20231212_140156_lingyi_zhang_snyk_issues_1208.md

@@ -0,0 +1,48 @@
+<!--
+A new scriv changelog fragment.
+
+Uncomment the section that is right (remove the HTML comment wrapper).
+-->
+
+<!--
+### Highlights ✨
+
+- A bullet item for the Highlights ✨ category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Removed
+
+- A bullet item for the Removed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Added
+
+- A bullet item for the Added category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Changed
+
+- A bullet item for the Changed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Deprecated
+
+- A bullet item for the Deprecated category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Fixed
+
+- A bullet item for the Fixed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
+<!--
+### Security
+
+- A bullet item for the Security category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->

vizro-core/tests/unit/vizro/integrations/kedro/fixtures/test_catalog.yaml

@@ -1,7 +1,7 @@
 companies:
-  type: pandas.JSONDataSet
+  type: pandas.JSONDataset
   filepath: companies.json
 
 reviews:
-  type: pickle.PickleDataSet
+  type: pickle.PickleDataset
   filepath: reviews.pkl