diff --git a/CHANGELOG.md b/CHANGELOG.md
index e638f56c9..e7e78a97d 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,38 @@
+## 2.2.0
+
+([Full Changelog](https://github.com/jupyterlab/jupyter-ai/compare/@jupyter-ai/core@2.1.0...56c1f518afd09d0d09a43221f0767aa961e9430f))
+
+### Enhancements made
+
+- Loads vector store index lazily [#374](https://github.com/jupyterlab/jupyter-ai/pull/374) ([@3coins](https://github.com/3coins))
+- Added alias for bedrock titan model [#368](https://github.com/jupyterlab/jupyter-ai/pull/368) ([@3coins](https://github.com/3coins))
+- Update README, docs [#347](https://github.com/jupyterlab/jupyter-ai/pull/347) ([@JasonWeill](https://github.com/JasonWeill))
+
+### Bugs fixed
+
+- fix newline typo in improve_code [#364](https://github.com/jupyterlab/jupyter-ai/pull/364) ([@michaelchia](https://github.com/michaelchia))
+
+### Maintenance and upkeep improvements
+
+- Upgrades LangChain to 0.0.277 [#375](https://github.com/jupyterlab/jupyter-ai/pull/375) ([@3coins](https://github.com/3coins))
+- relax pinning on importlib_metadata, typing_extensions [#363](https://github.com/jupyterlab/jupyter-ai/pull/363) ([@minrk](https://github.com/minrk))
+
+### Documentation improvements
+
+- Remove front end unit tests from code and README.md [#371](https://github.com/jupyterlab/jupyter-ai/pull/371) ([@andrii-i](https://github.com/andrii-i))
+- Update README, docs [#347](https://github.com/jupyterlab/jupyter-ai/pull/347) ([@JasonWeill](https://github.com/JasonWeill))
+
+### Contributors to this release
+
+([GitHub contributors page for this release](https://github.com/jupyterlab/jupyter-ai/graphs/contributors?from=2023-08-15&to=2023-09-05&type=c))
+
+[@3coins](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3A3coins+updated%3A2023-08-15..2023-09-05&type=Issues) | [@andrii-i](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Aandrii-i+updated%3A2023-08-15..2023-09-05&type=Issues) | [@JasonWeill](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3AJasonWeill+updated%3A2023-08-15..2023-09-05&type=Issues) | [@krassowski](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Akrassowski+updated%3A2023-08-15..2023-09-05&type=Issues) | [@michaelchia](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Amichaelchia+updated%3A2023-08-15..2023-09-05&type=Issues) | [@minrk](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Aminrk+updated%3A2023-08-15..2023-09-05&type=Issues) | [@welcome](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Awelcome+updated%3A2023-08-15..2023-09-05&type=Issues)
+
+
+
## 2.1.0
([Full Changelog](https://github.com/jupyterlab/jupyter-ai/compare/@jupyter-ai/core@2.0.1...c689c6c0cce5212238943ec2ff1559f6ad2f63d5))
@@ -24,8 +56,6 @@
[@3coins](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3A3coins+updated%3A2023-08-08..2023-08-15&type=Issues) | [@anammari](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Aanammari+updated%3A2023-08-08..2023-08-15&type=Issues) | [@bjornjorgensen](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Abjornjorgensen+updated%3A2023-08-08..2023-08-15&type=Issues) | [@dlqqq](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Adlqqq+updated%3A2023-08-08..2023-08-15&type=Issues) | [@JasonWeill](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3AJasonWeill+updated%3A2023-08-08..2023-08-15&type=Issues) | [@krassowski](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Akrassowski+updated%3A2023-08-08..2023-08-15&type=Issues) | [@welcome](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Awelcome+updated%3A2023-08-08..2023-08-15&type=Issues)
-
-
## 2.0.1
([Full Changelog](https://github.com/jupyterlab/jupyter-ai/compare/@jupyter-ai/core@2.0.0...f38d7f4a5b38ae1583c97bc8a0bb58ab09cdabdd))
diff --git a/packages/jupyter-ai/conftest.py b/conftest.py
similarity index 100%
rename from packages/jupyter-ai/conftest.py
rename to conftest.py
diff --git a/docs/source/users/index.md b/docs/source/users/index.md
index 4a9b02cdb..ad7b717b5 100644
--- a/docs/source/users/index.md
+++ b/docs/source/users/index.md
@@ -42,6 +42,8 @@ conda install jupyterlab~=4.0
The `jupyter_ai_magics` package, which provides exclusively the IPython magics,
does not depend on JupyterLab or `jupyter_ai`. You can install
`jupyter_ai_magics` without installing `jupyterlab` or `jupyter_ai`.
+If you have both `jupyter_ai_magics` and `jupyter_ai` installed, you should
+have the same version of each, to avoid errors.
## Installation
diff --git a/examples/commands.ipynb b/examples/commands.ipynb
index efc574e55..f2fa722b4 100644
--- a/examples/commands.ipynb
+++ b/examples/commands.ipynb
@@ -136,13 +136,16 @@
"| Provider | Environment variable | Set? | Models |\n",
"|----------|----------------------|------|--------|\n",
"| `ai21` | `AI21_API_KEY` | ✅ | `ai21:j1-large`, `ai21:j1-grande`, `ai21:j1-jumbo`, `ai21:j1-grande-instruct`, `ai21:j2-large`, `ai21:j2-grande`, `ai21:j2-jumbo`, `ai21:j2-grande-instruct`, `ai21:j2-jumbo-instruct` |\n",
- "| `anthropic` | `ANTHROPIC_API_KEY` | ✅ | `anthropic:claude-v1`, `anthropic:claude-v1.0`, `anthropic:claude-v1.2`, `anthropic:claude-instant-v1`, `anthropic:claude-instant-v1.0` |\n",
+ "| `bedrock` | Not applicable. | N/A | `bedrock:amazon.titan-tg1-large`, `bedrock:anthropic.claude-v1`, `bedrock:anthropic.claude-instant-v1`, `bedrock:anthropic.claude-v2`, `bedrock:ai21.j2-jumbo-instruct`, `bedrock:ai21.j2-grande-instruct` |\n",
+ "| `anthropic` | `ANTHROPIC_API_KEY` | ✅ | `anthropic:claude-v1`, `anthropic:claude-v1.0`, `anthropic:claude-v1.2`, `anthropic:claude-2`, `anthropic:claude-instant-v1`, `anthropic:claude-instant-v1.0` |\n",
+ "| `azure-chat-openai` | `OPENAI_API_KEY` | ✅ | This provider does not define a list of models. |\n",
"| `cohere` | `COHERE_API_KEY` | ✅ | `cohere:medium`, `cohere:xlarge` |\n",
- "| `huggingface_hub` | `HUGGINGFACEHUB_API_TOKEN` | ✅ | See https://huggingface.co/models for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`. |\n",
+ "| `gpt4all` | Not applicable. | N/A | `gpt4all:ggml-gpt4all-j-v1.2-jazzy`, `gpt4all:ggml-gpt4all-j-v1.3-groovy`, `gpt4all:ggml-gpt4all-l13b-snoozy` |\n",
+ "| `huggingface_hub` | `HUGGINGFACEHUB_API_TOKEN` | ✅ | See [https://huggingface.co/models](https://huggingface.co/models) for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`. |\n",
"| `openai` | `OPENAI_API_KEY` | ✅ | `openai:text-davinci-003`, `openai:text-davinci-002`, `openai:text-curie-001`, `openai:text-babbage-001`, `openai:text-ada-001`, `openai:davinci`, `openai:curie`, `openai:babbage`, `openai:ada` |\n",
- "| `openai-chat` | `OPENAI_API_KEY` | ✅ | `openai-chat:gpt-4`, `openai-chat:gpt-4-0314`, `openai-chat:gpt-4-32k`, `openai-chat:gpt-4-32k-0314`, `openai-chat:gpt-3.5-turbo`, `openai-chat:gpt-3.5-turbo-0301` |\n",
- "| `openai-chat-new` | `OPENAI_API_KEY` | ✅ | `openai-chat-new:gpt-4`, `openai-chat-new:gpt-4-0314`, `openai-chat-new:gpt-4-32k`, `openai-chat-new:gpt-4-32k-0314`, `openai-chat-new:gpt-3.5-turbo`, `openai-chat-new:gpt-3.5-turbo-0301` |\n",
- "| `sagemaker-endpoint` | Not applicable. | N/A | Specify an endpoint name as the model ID. In addition, you must include the `--region_name`, `--request_schema`, and the `--response_path` arguments. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints). |\n",
+ "| `openai-chat` | `OPENAI_API_KEY` | ✅ | `openai-chat:gpt-3.5-turbo`, `openai-chat:gpt-3.5-turbo-16k`, `openai-chat:gpt-3.5-turbo-0301`, `openai-chat:gpt-3.5-turbo-0613`, `openai-chat:gpt-3.5-turbo-16k-0613`, `openai-chat:gpt-4`, `openai-chat:gpt-4-0314`, `openai-chat:gpt-4-0613`, `openai-chat:gpt-4-32k`, `openai-chat:gpt-4-32k-0314`, `openai-chat:gpt-4-32k-0613` |\n",
+ "| `openai-chat-new` | `OPENAI_API_KEY` | ✅ | `openai-chat-new:gpt-3.5-turbo`, `openai-chat-new:gpt-3.5-turbo-16k`, `openai-chat-new:gpt-3.5-turbo-0301`, `openai-chat-new:gpt-3.5-turbo-0613`, `openai-chat-new:gpt-3.5-turbo-16k-0613`, `openai-chat-new:gpt-4`, `openai-chat-new:gpt-4-0314`, `openai-chat-new:gpt-4-0613`, `openai-chat-new:gpt-4-32k`, `openai-chat-new:gpt-4-32k-0314`, `openai-chat-new:gpt-4-32k-0613` |\n",
+ "| `sagemaker-endpoint` | Not applicable. | N/A | Specify an endpoint name as the model ID. In addition, you must specify a region name, request schema, and response path. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints). |\n",
"\n",
"Aliases and custom commands:\n",
"\n",
@@ -166,22 +169,40 @@
"* ai21:j2-grande-instruct\n",
"* ai21:j2-jumbo-instruct\n",
"\n",
+ "bedrock\n",
+ "* bedrock:amazon.titan-tg1-large\n",
+ "* bedrock:anthropic.claude-v1\n",
+ "* bedrock:anthropic.claude-instant-v1\n",
+ "* bedrock:anthropic.claude-v2\n",
+ "* bedrock:ai21.j2-jumbo-instruct\n",
+ "* bedrock:ai21.j2-grande-instruct\n",
+ "\n",
"anthropic\n",
"Requires environment variable ANTHROPIC_API_KEY (set)\n",
"* anthropic:claude-v1\n",
"* anthropic:claude-v1.0\n",
"* anthropic:claude-v1.2\n",
+ "* anthropic:claude-2\n",
"* anthropic:claude-instant-v1\n",
"* anthropic:claude-instant-v1.0\n",
"\n",
+ "azure-chat-openai\n",
+ "Requires environment variable OPENAI_API_KEY (set)\n",
+ "* This provider does not define a list of models.\n",
+ "\n",
"cohere\n",
"Requires environment variable COHERE_API_KEY (set)\n",
"* cohere:medium\n",
"* cohere:xlarge\n",
"\n",
+ "gpt4all\n",
+ "* gpt4all:ggml-gpt4all-j-v1.2-jazzy\n",
+ "* gpt4all:ggml-gpt4all-j-v1.3-groovy\n",
+ "* gpt4all:ggml-gpt4all-l13b-snoozy\n",
+ "\n",
"huggingface_hub\n",
"Requires environment variable HUGGINGFACEHUB_API_TOKEN (set)\n",
- "* See https://huggingface.co/models for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`.\n",
+ "* See [https://huggingface.co/models](https://huggingface.co/models) for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`.\n",
"\n",
"openai\n",
"Requires environment variable OPENAI_API_KEY (set)\n",
@@ -197,24 +218,34 @@
"\n",
"openai-chat\n",
"Requires environment variable OPENAI_API_KEY (set)\n",
+ "* openai-chat:gpt-3.5-turbo\n",
+ "* openai-chat:gpt-3.5-turbo-16k\n",
+ "* openai-chat:gpt-3.5-turbo-0301\n",
+ "* openai-chat:gpt-3.5-turbo-0613\n",
+ "* openai-chat:gpt-3.5-turbo-16k-0613\n",
"* openai-chat:gpt-4\n",
"* openai-chat:gpt-4-0314\n",
+ "* openai-chat:gpt-4-0613\n",
"* openai-chat:gpt-4-32k\n",
"* openai-chat:gpt-4-32k-0314\n",
- "* openai-chat:gpt-3.5-turbo\n",
- "* openai-chat:gpt-3.5-turbo-0301\n",
+ "* openai-chat:gpt-4-32k-0613\n",
"\n",
"openai-chat-new\n",
"Requires environment variable OPENAI_API_KEY (set)\n",
+ "* openai-chat-new:gpt-3.5-turbo\n",
+ "* openai-chat-new:gpt-3.5-turbo-16k\n",
+ "* openai-chat-new:gpt-3.5-turbo-0301\n",
+ "* openai-chat-new:gpt-3.5-turbo-0613\n",
+ "* openai-chat-new:gpt-3.5-turbo-16k-0613\n",
"* openai-chat-new:gpt-4\n",
"* openai-chat-new:gpt-4-0314\n",
+ "* openai-chat-new:gpt-4-0613\n",
"* openai-chat-new:gpt-4-32k\n",
"* openai-chat-new:gpt-4-32k-0314\n",
- "* openai-chat-new:gpt-3.5-turbo\n",
- "* openai-chat-new:gpt-3.5-turbo-0301\n",
+ "* openai-chat-new:gpt-4-32k-0613\n",
"\n",
"sagemaker-endpoint\n",
- "* Specify an endpoint name as the model ID. In addition, you must include the `--region_name`, `--request_schema`, and the `--response_path` arguments. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints).\n",
+ "* Specify an endpoint name as the model ID. In addition, you must specify a region name, request schema, and response path. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints).\n",
"\n",
"\n",
"Aliases and custom commands:\n",
@@ -318,13 +349,16 @@
"| Provider | Environment variable | Set? | Models |\n",
"|----------|----------------------|------|--------|\n",
"| `ai21` | `AI21_API_KEY` | ✅ | `ai21:j1-large`, `ai21:j1-grande`, `ai21:j1-jumbo`, `ai21:j1-grande-instruct`, `ai21:j2-large`, `ai21:j2-grande`, `ai21:j2-jumbo`, `ai21:j2-grande-instruct`, `ai21:j2-jumbo-instruct` |\n",
- "| `anthropic` | `ANTHROPIC_API_KEY` | ✅ | `anthropic:claude-v1`, `anthropic:claude-v1.0`, `anthropic:claude-v1.2`, `anthropic:claude-instant-v1`, `anthropic:claude-instant-v1.0` |\n",
+ "| `bedrock` | Not applicable. | N/A | `bedrock:amazon.titan-tg1-large`, `bedrock:anthropic.claude-v1`, `bedrock:anthropic.claude-instant-v1`, `bedrock:anthropic.claude-v2`, `bedrock:ai21.j2-jumbo-instruct`, `bedrock:ai21.j2-grande-instruct` |\n",
+ "| `anthropic` | `ANTHROPIC_API_KEY` | ✅ | `anthropic:claude-v1`, `anthropic:claude-v1.0`, `anthropic:claude-v1.2`, `anthropic:claude-2`, `anthropic:claude-instant-v1`, `anthropic:claude-instant-v1.0` |\n",
+ "| `azure-chat-openai` | `OPENAI_API_KEY` | ✅ | This provider does not define a list of models. |\n",
"| `cohere` | `COHERE_API_KEY` | ✅ | `cohere:medium`, `cohere:xlarge` |\n",
- "| `huggingface_hub` | `HUGGINGFACEHUB_API_TOKEN` | ✅ | See https://huggingface.co/models for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`. |\n",
+ "| `gpt4all` | Not applicable. | N/A | `gpt4all:ggml-gpt4all-j-v1.2-jazzy`, `gpt4all:ggml-gpt4all-j-v1.3-groovy`, `gpt4all:ggml-gpt4all-l13b-snoozy` |\n",
+ "| `huggingface_hub` | `HUGGINGFACEHUB_API_TOKEN` | ✅ | See [https://huggingface.co/models](https://huggingface.co/models) for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`. |\n",
"| `openai` | `OPENAI_API_KEY` | ✅ | `openai:text-davinci-003`, `openai:text-davinci-002`, `openai:text-curie-001`, `openai:text-babbage-001`, `openai:text-ada-001`, `openai:davinci`, `openai:curie`, `openai:babbage`, `openai:ada` |\n",
- "| `openai-chat` | `OPENAI_API_KEY` | ✅ | `openai-chat:gpt-4`, `openai-chat:gpt-4-0314`, `openai-chat:gpt-4-32k`, `openai-chat:gpt-4-32k-0314`, `openai-chat:gpt-3.5-turbo`, `openai-chat:gpt-3.5-turbo-0301` |\n",
- "| `openai-chat-new` | `OPENAI_API_KEY` | ✅ | `openai-chat-new:gpt-4`, `openai-chat-new:gpt-4-0314`, `openai-chat-new:gpt-4-32k`, `openai-chat-new:gpt-4-32k-0314`, `openai-chat-new:gpt-3.5-turbo`, `openai-chat-new:gpt-3.5-turbo-0301` |\n",
- "| `sagemaker-endpoint` | Not applicable. | N/A | Specify an endpoint name as the model ID. In addition, you must include the `--region_name`, `--request_schema`, and the `--response_path` arguments. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints). |\n",
+ "| `openai-chat` | `OPENAI_API_KEY` | ✅ | `openai-chat:gpt-3.5-turbo`, `openai-chat:gpt-3.5-turbo-16k`, `openai-chat:gpt-3.5-turbo-0301`, `openai-chat:gpt-3.5-turbo-0613`, `openai-chat:gpt-3.5-turbo-16k-0613`, `openai-chat:gpt-4`, `openai-chat:gpt-4-0314`, `openai-chat:gpt-4-0613`, `openai-chat:gpt-4-32k`, `openai-chat:gpt-4-32k-0314`, `openai-chat:gpt-4-32k-0613` |\n",
+ "| `openai-chat-new` | `OPENAI_API_KEY` | ✅ | `openai-chat-new:gpt-3.5-turbo`, `openai-chat-new:gpt-3.5-turbo-16k`, `openai-chat-new:gpt-3.5-turbo-0301`, `openai-chat-new:gpt-3.5-turbo-0613`, `openai-chat-new:gpt-3.5-turbo-16k-0613`, `openai-chat-new:gpt-4`, `openai-chat-new:gpt-4-0314`, `openai-chat-new:gpt-4-0613`, `openai-chat-new:gpt-4-32k`, `openai-chat-new:gpt-4-32k-0314`, `openai-chat-new:gpt-4-32k-0613` |\n",
+ "| `sagemaker-endpoint` | Not applicable. | N/A | Specify an endpoint name as the model ID. In addition, you must specify a region name, request schema, and response path. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints). |\n",
"\n",
"Aliases and custom commands:\n",
"\n",
@@ -349,22 +383,40 @@
"* ai21:j2-grande-instruct\n",
"* ai21:j2-jumbo-instruct\n",
"\n",
+ "bedrock\n",
+ "* bedrock:amazon.titan-tg1-large\n",
+ "* bedrock:anthropic.claude-v1\n",
+ "* bedrock:anthropic.claude-instant-v1\n",
+ "* bedrock:anthropic.claude-v2\n",
+ "* bedrock:ai21.j2-jumbo-instruct\n",
+ "* bedrock:ai21.j2-grande-instruct\n",
+ "\n",
"anthropic\n",
"Requires environment variable ANTHROPIC_API_KEY (set)\n",
"* anthropic:claude-v1\n",
"* anthropic:claude-v1.0\n",
"* anthropic:claude-v1.2\n",
+ "* anthropic:claude-2\n",
"* anthropic:claude-instant-v1\n",
"* anthropic:claude-instant-v1.0\n",
"\n",
+ "azure-chat-openai\n",
+ "Requires environment variable OPENAI_API_KEY (set)\n",
+ "* This provider does not define a list of models.\n",
+ "\n",
"cohere\n",
"Requires environment variable COHERE_API_KEY (set)\n",
"* cohere:medium\n",
"* cohere:xlarge\n",
"\n",
+ "gpt4all\n",
+ "* gpt4all:ggml-gpt4all-j-v1.2-jazzy\n",
+ "* gpt4all:ggml-gpt4all-j-v1.3-groovy\n",
+ "* gpt4all:ggml-gpt4all-l13b-snoozy\n",
+ "\n",
"huggingface_hub\n",
"Requires environment variable HUGGINGFACEHUB_API_TOKEN (set)\n",
- "* See https://huggingface.co/models for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`.\n",
+ "* See [https://huggingface.co/models](https://huggingface.co/models) for a list of models. Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`.\n",
"\n",
"openai\n",
"Requires environment variable OPENAI_API_KEY (set)\n",
@@ -380,24 +432,34 @@
"\n",
"openai-chat\n",
"Requires environment variable OPENAI_API_KEY (set)\n",
+ "* openai-chat:gpt-3.5-turbo\n",
+ "* openai-chat:gpt-3.5-turbo-16k\n",
+ "* openai-chat:gpt-3.5-turbo-0301\n",
+ "* openai-chat:gpt-3.5-turbo-0613\n",
+ "* openai-chat:gpt-3.5-turbo-16k-0613\n",
"* openai-chat:gpt-4\n",
"* openai-chat:gpt-4-0314\n",
+ "* openai-chat:gpt-4-0613\n",
"* openai-chat:gpt-4-32k\n",
"* openai-chat:gpt-4-32k-0314\n",
- "* openai-chat:gpt-3.5-turbo\n",
- "* openai-chat:gpt-3.5-turbo-0301\n",
+ "* openai-chat:gpt-4-32k-0613\n",
"\n",
"openai-chat-new\n",
"Requires environment variable OPENAI_API_KEY (set)\n",
+ "* openai-chat-new:gpt-3.5-turbo\n",
+ "* openai-chat-new:gpt-3.5-turbo-16k\n",
+ "* openai-chat-new:gpt-3.5-turbo-0301\n",
+ "* openai-chat-new:gpt-3.5-turbo-0613\n",
+ "* openai-chat-new:gpt-3.5-turbo-16k-0613\n",
"* openai-chat-new:gpt-4\n",
"* openai-chat-new:gpt-4-0314\n",
+ "* openai-chat-new:gpt-4-0613\n",
"* openai-chat-new:gpt-4-32k\n",
"* openai-chat-new:gpt-4-32k-0314\n",
- "* openai-chat-new:gpt-3.5-turbo\n",
- "* openai-chat-new:gpt-3.5-turbo-0301\n",
+ "* openai-chat-new:gpt-4-32k-0613\n",
"\n",
"sagemaker-endpoint\n",
- "* Specify an endpoint name as the model ID. In addition, you must include the `--region_name`, `--request_schema`, and the `--response_path` arguments. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints).\n",
+ "* Specify an endpoint name as the model ID. In addition, you must specify a region name, request schema, and response path. For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints).\n",
"\n",
"\n",
"Aliases and custom commands:\n",
@@ -1055,7 +1117,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.8"
+ "version": "3.11.4"
}
},
"nbformat": 4,
diff --git a/lerna.json b/lerna.json
index e19e10b60..b3c956cad 100644
--- a/lerna.json
+++ b/lerna.json
@@ -1,7 +1,7 @@
{
"$schema": "node_modules/lerna/schemas/lerna-schema.json",
"useWorkspaces": true,
- "version": "2.1.0",
+ "version": "2.2.0",
"npmClient": "yarn",
"useNx": true
}
diff --git a/package.json b/package.json
index edbaccdd6..09b89e11e 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
{
"name": "@jupyter-ai/monorepo",
- "version": "2.1.0",
+ "version": "2.2.0",
"description": "A generative AI extension for JupyterLab",
"private": true,
"keywords": [
@@ -33,7 +33,8 @@
"dev-uninstall": "lerna run dev-uninstall --stream",
"lint": "jlpm && lerna run prettier && lerna run eslint",
"lint:check": "lerna run prettier:check && lerna run eslint:check",
- "watch": "lerna run watch --parallel --stream"
+ "watch": "lerna run watch --parallel --stream",
+ "test": "lerna run test"
},
"devDependencies": {
"@jupyterlab/builder": "^4",
diff --git a/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py b/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py
index 93616a655..149cf9fd8 100644
--- a/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py
+++ b/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py
@@ -300,7 +300,7 @@ class HfHubProvider(BaseProvider, HuggingFaceHub):
models = ["*"]
model_id_key = "repo_id"
help = (
- "See https://huggingface.co/models for a list of models. "
+ "See [https://huggingface.co/models](https://huggingface.co/models) for a list of models. "
"Pass a model's repository ID as the model ID; for example, `huggingface_hub:ExampleOwner/example-model`."
)
# ipywidgets needed to suppress tqdm warning
@@ -542,7 +542,7 @@ class SmEndpointProvider(BaseProvider, SagemakerEndpoint):
# This all needs to be on one line of markdown, for use in a table
help = (
"Specify an endpoint name as the model ID. "
- "In addition, you must include the `--region_name`, `--request_schema`, and the `--response_path` arguments. "
+ "In addition, you must specify a region name, request schema, and response path. "
"For more information, see the documentation about [SageMaker endpoints deployment](https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-deployment.html) "
"and about [using magic commands with SageMaker endpoints](https://jupyter-ai.readthedocs.io/en/latest/users/index.html#using-magic-commands-with-sagemaker-endpoints)."
)
diff --git a/packages/jupyter-ai-magics/package.json b/packages/jupyter-ai-magics/package.json
index 3623e2113..fea5f845a 100644
--- a/packages/jupyter-ai-magics/package.json
+++ b/packages/jupyter-ai-magics/package.json
@@ -1,6 +1,6 @@
{
"name": "@jupyter-ai/magics",
- "version": "2.1.0",
+ "version": "2.2.0",
"description": "Jupyter AI magics Python package. Not published on NPM.",
"private": true,
"homepage": "https://github.com/jupyterlab/jupyter-ai",
diff --git a/packages/jupyter-ai/.gitignore b/packages/jupyter-ai/.gitignore
index 7c34e452b..7198a2ce0 100644
--- a/packages/jupyter-ai/.gitignore
+++ b/packages/jupyter-ai/.gitignore
@@ -124,3 +124,4 @@ dmypy.json
# Coverage reports
coverage/*
+junit.xml
diff --git a/packages/jupyter-ai/jest.config.js b/packages/jupyter-ai/jest.config.js
index 4f1bf3dab..c289e813e 100644
--- a/packages/jupyter-ai/jest.config.js
+++ b/packages/jupyter-ai/jest.config.js
@@ -1,46 +1,29 @@
const jestJupyterLab = require('@jupyterlab/testutils/lib/jest-config');
const esModules = [
+ '@codemirror',
+ '@jupyter/ydoc',
'@jupyterlab/',
'lib0',
- 'y\\-protocols',
- 'y\\-websocket',
+ 'nanoid',
+ 'vscode-ws-jsonrpc',
+ 'y-protocols',
+ 'y-websocket',
'yjs'
].join('|');
-const jlabConfig = jestJupyterLab(__dirname);
-
-const {
- moduleFileExtensions,
- moduleNameMapper,
- preset,
- setupFilesAfterEnv,
- setupFiles,
- testPathIgnorePatterns,
- transform
-} = jlabConfig;
+const baseConfig = jestJupyterLab(__dirname);
module.exports = {
- moduleFileExtensions,
- moduleNameMapper,
- preset,
- setupFilesAfterEnv,
- setupFiles,
- testPathIgnorePatterns,
- transform,
+ ...baseConfig,
automock: false,
collectCoverageFrom: [
- 'src/**/*.{ts,tsx}',
- '!src/**/*.d.ts',
- '!src/**/.ipynb_checkpoints/*'
+ // TODO: re-enable coverage reports when we have more comprehensive testing
+ // 'src/**/*.{ts,tsx}',
+ // '!src/**/*.d.ts',
+ // '!src/**/.ipynb_checkpoints/*'
],
- coverageDirectory: 'coverage',
coverageReporters: ['lcov', 'text'],
- globals: {
- 'ts-jest': {
- tsconfig: 'tsconfig.json'
- }
- },
testRegex: 'src/.*/.*.spec.ts[x]?$',
transformIgnorePatterns: [`/node_modules/(?!${esModules}).+`]
};
diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py
index ebb2fc72d..87da6d214 100644
--- a/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py
+++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py
@@ -61,8 +61,8 @@ def reply(self, response, human_msg: Optional[HumanChatMessage] = None):
break
def get_llm_chain(self):
- lm_provider = self.config_manager.get_lm_provider()
- lm_provider_params = self.config_manager.get_lm_provider_params()
+ lm_provider = self.config_manager.lm_provider
+ lm_provider_params = self.config_manager.lm_provider_params
curr_lm_id = (
f'{self.llm.id}:{lm_provider_params["model_id"]}' if self.llm else None
diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py
index 7d88beac2..712444f3c 100644
--- a/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py
+++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py
@@ -278,10 +278,7 @@ async def aget_relevant_documents(
return docs
def get_embedding_provider(self):
- em_provider_cls = self.config_manager.get_em_provider()
- em_provider_args = self.config_manager.get_em_provider_params()
-
- return em_provider_cls, em_provider_args
+ return self.config_manager.em_provider, self.config_manager.em_provider_params
def get_embedding_model(self):
em_provider_cls, em_provider_args = self.get_embedding_provider()
diff --git a/packages/jupyter-ai/jupyter_ai/config/config_schema.json b/packages/jupyter-ai/jupyter_ai/config/config_schema.json
new file mode 100644
index 000000000..ff7c717c4
--- /dev/null
+++ b/packages/jupyter-ai/jupyter_ai/config/config_schema.json
@@ -0,0 +1,42 @@
+{
+ "title": "Jupyter AI configuration",
+ "$schema": "https://json-schema.org/draft/2020-12/schema",
+ "$comment": "Default values are sourced from `config_manager.py`.",
+ "type": "object",
+ "properties": {
+ "model_provider_id": {
+ "$comment": "Language model global ID.",
+ "type": ["string", "null"],
+ "default": null,
+ "readOnly": false
+ },
+ "embeddings_provider_id": {
+ "$comment": "Embedding model global ID.",
+ "type": ["string", "null"],
+ "default": null,
+ "readOnly": false
+ },
+ "api_keys": {
+ "$comment": "Dictionary of API keys, mapping key names to key values.",
+ "type": "object",
+ "default": {}
+ },
+ "send_with_shift_enter": {
+ "$comment": "Whether to send a message via Shift-Enter instead of Enter.",
+ "type": "boolean",
+ "default": false,
+ "readOnly": false
+ },
+ "fields": {
+ "$comment": "Dictionary of model-specific fields, mapping LM GIDs to sub-dictionaries of field key-value pairs.",
+ "type": "object",
+ "default": {},
+ "patternProperties": {
+ "^.*$": {
+ "anyOf": [{ "type": "object" }]
+ }
+ },
+ "additionalProperties": false
+ }
+ }
+}
diff --git a/packages/jupyter-ai/jupyter_ai/config_manager.py b/packages/jupyter-ai/jupyter_ai/config_manager.py
index 5fa8b8a72..f61e07bde 100644
--- a/packages/jupyter-ai/jupyter_ai/config_manager.py
+++ b/packages/jupyter-ai/jupyter_ai/config_manager.py
@@ -1,9 +1,13 @@
import json
import logging
import os
-from typing import Any, Dict, Union
+import shutil
+import time
+from typing import Optional, Union
-from jupyter_ai.models import GlobalConfig
+from deepmerge import always_merger as Merger
+from jsonschema import Draft202012Validator as Validator
+from jupyter_ai.models import DescribeConfigResponse, GlobalConfig, UpdateConfigRequest
from jupyter_ai_magics.utils import (
AnyProvider,
EmProvidersDict,
@@ -12,120 +16,317 @@
get_lm_provider,
)
from jupyter_core.paths import jupyter_data_dir
+from traitlets import Integer, Unicode
+from traitlets.config import Configurable
Logger = Union[logging.Logger, logging.LoggerAdapter]
+# default path to config
+DEFAULT_CONFIG_PATH = os.path.join(jupyter_data_dir(), "jupyter_ai", "config.json")
-class ConfigManager:
+# default path to config JSON Schema
+DEFAULT_SCHEMA_PATH = os.path.join(
+ jupyter_data_dir(), "jupyter_ai", "config_schema.json"
+)
+
+# default no. of spaces to use when formatting config
+DEFAULT_INDENTATION_DEPTH = 4
+
+# path to the default schema defined in this project
+# if a file does not exist at SCHEMA_PATH, this file is used as a default.
+OUR_SCHEMA_PATH = os.path.join(
+ os.path.dirname(__file__), "config", "config_schema.json"
+)
+
+
+class AuthError(Exception):
+ pass
+
+
+class WriteConflictError(Exception):
+ pass
+
+
+class KeyInUseError(Exception):
+ pass
+
+
+class KeyEmptyError(Exception):
+ pass
+
+
+def _validate_provider_authn(config: GlobalConfig, provider: AnyProvider):
+ # TODO: handle non-env auth strategies
+ if not provider.auth_strategy or provider.auth_strategy.type != "env":
+ return
+
+ if provider.auth_strategy.name not in config.api_keys:
+ raise AuthError(
+ f"Missing API key for '{provider.auth_strategy.name}' in the config."
+ )
+
+
+class ConfigManager(Configurable):
"""Provides model and embedding provider id along
with the credentials to authenticate providers.
"""
+ config_path = Unicode(
+ default_value=DEFAULT_CONFIG_PATH,
+ help="Path to the configuration file.",
+ allow_none=False,
+ config=True,
+ )
+
+ schema_path = Unicode(
+ default_value=DEFAULT_SCHEMA_PATH,
+ help="Path to the configuration's corresponding JSON Schema file.",
+ allow_none=False,
+ config=True,
+ )
+
+ indentation_depth = Integer(
+ default_value=DEFAULT_INDENTATION_DEPTH,
+ help="Indentation depth, in number of spaces per level.",
+ allow_none=False,
+ config=True,
+ )
+
def __init__(
- self, log: Logger, lm_providers: LmProvidersDict, em_providers: EmProvidersDict
+ self,
+ log: Logger,
+ lm_providers: LmProvidersDict,
+ em_providers: EmProvidersDict,
+ *args,
+ **kwargs,
):
+ super().__init__(*args, **kwargs)
self.log = log
- self.save_dir = os.path.join(jupyter_data_dir(), "jupyter_ai")
- self.save_path = os.path.join(self.save_dir, "config.json")
- self.config = None
- self.lm_providers = lm_providers
- self.em_providers = em_providers
- self.lm_provider = None
- self.lm_provider_params = {}
- self.em_provider = None
- self.em_provider_params = {}
- self._load()
-
- def update(self, config: GlobalConfig, save_to_disk: bool = True):
- self._update_lm_provider(config)
- self._update_em_provider(config)
- if save_to_disk:
- self._save(config)
- self.config = config
+ """List of LM providers."""
+ self._lm_providers = lm_providers
+ """List of EM providers."""
+ self._em_providers = em_providers
- def get_config(self):
- return self.config
+ """When the server last read the config file. If the file was not
+ modified after this time, then we can return the cached
+ `self._config`."""
+ self._last_read: Optional[int] = None
- def get_lm_provider(self):
- return self.lm_provider
+ """In-memory cache of the `GlobalConfig` object parsed from the config
+ file."""
+ self._config: Optional[GlobalConfig] = None
- def get_lm_provider_params(self):
- return self.lm_provider_params
+ self._init_config_schema()
+ self._init_validator()
+ self._init_config()
- def get_em_provider(self):
- return self.em_provider
+ def _init_config_schema(self):
+ if not os.path.exists(self.schema_path):
+ os.makedirs(os.path.dirname(self.schema_path), exist_ok=True)
+ shutil.copy(OUR_SCHEMA_PATH, self.schema_path)
- def get_em_provider_params(self):
- return self.em_provider_params
+ def _init_validator(self) -> Validator:
+ with open(OUR_SCHEMA_PATH, encoding="utf-8") as f:
+ schema = json.loads(f.read())
+ Validator.check_schema(schema)
+ self.validator = Validator(schema)
- def _authenticate_provider(
- self,
- provider: AnyProvider,
- provider_params: Dict[str, Any],
- config: GlobalConfig,
- ):
- auth_strategy = provider.auth_strategy
- if auth_strategy and auth_strategy.type == "env":
- api_keys = config.api_keys
- name = auth_strategy.name
- if name not in api_keys:
+ def _init_config(self):
+ if os.path.exists(self.config_path):
+ with open(self.config_path, encoding="utf-8") as f:
+ config = GlobalConfig(**json.loads(f.read()))
+ # re-write to the file to validate the config and apply any
+ # updates to the config file immediately
+ self._write_config(config)
+ return
+
+ properties = self.validator.schema.get("properties", {})
+ field_list = GlobalConfig.__fields__.keys()
+ field_dict = {
+ field: properties.get(field).get("default") for field in field_list
+ }
+ default_config = GlobalConfig(**field_dict)
+ self._write_config(default_config)
+
+ def _read_config(self) -> GlobalConfig:
+ """Returns the user's current configuration as a GlobalConfig object.
+ This should never be sent to the client as it includes API keys. Prefer
+ self.get_config() for sending the config to the client."""
+ if self._config and self._last_read:
+ last_write = os.stat(self.config_path).st_mtime_ns
+ if last_write <= self._last_read:
+ return self._config
+
+ with open(self.config_path, encoding="utf-8") as f:
+ self._last_read = time.time_ns()
+ raw_config = json.loads(f.read())
+ config = GlobalConfig(**raw_config)
+ self._validate_config(config)
+ return config
+
+ def _validate_config(self, config: GlobalConfig):
+ """Method used to validate the configuration. This is called after every
+ read and before every write to the config file. Guarantees that the
+ config file conforms to the JSON Schema, and that the language and
+ embedding models have authn credentials if specified."""
+ self.validator.validate(config.dict())
+
+ # validate language model config
+ if config.model_provider_id:
+ _, lm_provider = get_lm_provider(
+ config.model_provider_id, self._lm_providers
+ )
+ if not lm_provider:
raise ValueError(
- f"Missing value for '{auth_strategy.name}' in the config."
+ f"No language model is associated with '{config.model_provider_id}'."
)
- provider_params[name.lower()] = api_keys[name]
+ _validate_provider_authn(config, lm_provider)
- def _update_lm_provider(self, config: GlobalConfig):
- model_id = config.model_provider_id
+ # validate embedding model config
+ if config.embeddings_provider_id:
+ _, em_provider = get_em_provider(
+ config.embeddings_provider_id, self._em_providers
+ )
+ if not em_provider:
+ raise ValueError(
+ f"No embedding model is associated with '{config.embeddings_provider_id}'."
+ )
+ _validate_provider_authn(config, em_provider)
- if not model_id:
- self.lm_provider = None
- self.lm_provider_params = None
- return
+ def _write_config(self, new_config: GlobalConfig):
+ """Updates configuration and persists it to disk. This accepts a
+ complete `GlobalConfig` object, and should not be called publicly."""
+ # remove any empty field dictionaries
+ new_config.fields = {k: v for k, v in new_config.fields.items() if v}
- local_model_id, provider = get_lm_provider(model_id, self.lm_providers)
+ self._validate_config(new_config)
+ with open(self.config_path, "w") as f:
+ json.dump(new_config.dict(), f, indent=self.indentation_depth)
- if not provider:
- raise ValueError(f"No provider and model found with '{model_id}'")
+ def delete_api_key(self, key_name: str):
+ config_dict = self._read_config().dict()
+ lm_provider = self.lm_provider
+ em_provider = self.em_provider
+ required_keys = []
+ if (
+ lm_provider
+ and lm_provider.auth_strategy
+ and lm_provider.auth_strategy.type == "env"
+ ):
+ required_keys.append(lm_provider.auth_strategy.name)
+ if (
+ em_provider
+ and em_provider.auth_strategy
+ and em_provider.auth_strategy.type == "env"
+ ):
+ required_keys.append(self.em_provider.auth_strategy.name)
- fields = config.fields.get(model_id, {})
- provider_params = {"model_id": local_model_id, **fields}
+ if key_name in required_keys:
+ raise KeyInUseError(
+ "This API key is currently in use by the language or embedding model. Please change the model before deleting the corresponding API key."
+ )
- self._authenticate_provider(provider, provider_params, config)
- self.lm_provider = provider
- self.lm_provider_params = provider_params
+ config_dict["api_keys"].pop(key_name, None)
+ self._write_config(GlobalConfig(**config_dict))
- def _update_em_provider(self, config: GlobalConfig):
- model_id = config.embeddings_provider_id
+ def update_config(self, config_update: UpdateConfigRequest):
+ last_write = os.stat(self.config_path).st_mtime_ns
+ if config_update.last_read and config_update.last_read < last_write:
+ raise WriteConflictError(
+ "Configuration was modified after it was read from disk."
+ )
- if not model_id:
- self.em_provider = None
- self.em_provider_params
- return
+ if config_update.api_keys:
+ for api_key_value in config_update.api_keys.values():
+ if not api_key_value:
+ raise KeyEmptyError("API key value cannot be empty.")
- local_model_id, provider = get_em_provider(model_id, self.em_providers)
+ config_dict = self._read_config().dict()
+ Merger.merge(config_dict, config_update.dict(exclude_unset=True))
+ self._write_config(GlobalConfig(**config_dict))
- if not provider:
- raise ValueError(f"No provider and model found with '{model_id}'")
+ # this cannot be a property, as the parent Configurable already defines the
+ # self.config attr.
+ def get_config(self):
+ config = self._read_config()
+ config_dict = config.dict(exclude_unset=True)
+ api_key_names = list(config_dict.pop("api_keys").keys())
+ return DescribeConfigResponse(
+ **config_dict, api_keys=api_key_names, last_read=self._last_read
+ )
- provider_params = {"model_id": local_model_id}
+ @property
+ def lm_gid(self):
+ config = self._read_config()
+ return config.model_provider_id
- self._authenticate_provider(provider, provider_params, config)
- self.em_provider = provider
- self.em_provider_params = provider_params
+ @property
+ def em_gid(self):
+ config = self._read_config()
+ return config.embeddings_provider_id
- def _save(self, config: GlobalConfig):
- if not os.path.exists(self.save_dir):
- os.makedirs(self.save_dir)
+ @property
+ def lm_provider(self):
+ config = self._read_config()
+ lm_gid = config.model_provider_id
+ if lm_gid is None:
+ return None
- with open(self.save_path, "w") as f:
- f.write(config.json())
+ _, Provider = get_lm_provider(config.model_provider_id, self._lm_providers)
+ return Provider
- def _load(self):
- if os.path.exists(self.save_path):
- with open(self.save_path, encoding="utf-8") as f:
- config = GlobalConfig(**json.loads(f.read()))
- self.update(config, False)
- return
+ @property
+ def em_provider(self):
+ config = self._read_config()
+ em_gid = config.embeddings_provider_id
+ if em_gid is None:
+ return None
+
+ _, Provider = get_em_provider(em_gid, self._em_providers)
+ return Provider
+
+ @property
+ def lm_provider_params(self):
+ # get generic fields
+ config = self._read_config()
+ lm_gid = config.model_provider_id
+ if not lm_gid:
+ return None
+
+ lm_lid = lm_gid.split(":", 1)[1]
+ fields = config.fields.get(lm_gid, {})
+
+ # get authn fields
+ _, Provider = get_lm_provider(lm_gid, self._lm_providers)
+ authn_fields = {}
+ if Provider.auth_strategy and Provider.auth_strategy.type == "env":
+ key_name = Provider.auth_strategy.name
+ authn_fields[key_name.lower()] = config.api_keys[key_name]
+
+ return {
+ "model_id": lm_lid,
+ **fields,
+ **authn_fields,
+ }
+
+ @property
+ def em_provider_params(self):
+ # get generic fields
+ config = self._read_config()
+ em_gid = config.embeddings_provider_id
+ if not em_gid:
+ return None
+
+ em_lid = em_gid.split(":", 1)[1]
+
+ # get authn fields
+ _, Provider = get_em_provider(em_gid, self._em_providers)
+ authn_fields = {}
+ if Provider.auth_strategy and Provider.auth_strategy.type == "env":
+ key_name = Provider.auth_strategy.name
+ authn_fields[key_name.lower()] = config.api_keys[key_name]
- # otherwise, create a new empty config file
- self.update(GlobalConfig(), True)
+ return {
+ "model_id": em_lid,
+ **authn_fields,
+ }
diff --git a/packages/jupyter-ai/jupyter_ai/extension.py b/packages/jupyter-ai/jupyter_ai/extension.py
index a6564679b..7b6d07b31 100644
--- a/packages/jupyter-ai/jupyter_ai/extension.py
+++ b/packages/jupyter-ai/jupyter_ai/extension.py
@@ -16,6 +16,7 @@
from .chat_handlers.help import HelpMessage
from .config_manager import ConfigManager
from .handlers import (
+ ApiKeysHandler,
ChatHistoryHandler,
EmbeddingsModelProviderHandler,
GlobalConfigHandler,
@@ -27,7 +28,8 @@
class AiExtension(ExtensionApp):
name = "jupyter_ai"
handlers = [
- ("api/ai/config", GlobalConfigHandler),
+ (r"api/ai/api_keys/(?P\w+)", ApiKeysHandler),
+ (r"api/ai/config/?", GlobalConfigHandler),
(r"api/ai/chats/?", RootChatHandler),
(r"api/ai/chats/history?", ChatHistoryHandler),
(r"api/ai/providers?", ModelProviderHandler),
@@ -41,6 +43,8 @@ def initialize_settings(self):
self.settings["em_providers"] = get_em_providers(log=self.log)
self.settings["jai_config_manager"] = ConfigManager(
+ # traitlets configuration, not JAI configuration.
+ config=self.config,
log=self.log,
lm_providers=self.settings["lm_providers"],
em_providers=self.settings["em_providers"],
diff --git a/packages/jupyter-ai/jupyter_ai/handlers.py b/packages/jupyter-ai/jupyter_ai/handlers.py
index 95db5198a..ddc4c6255 100644
--- a/packages/jupyter-ai/jupyter_ai/handlers.py
+++ b/packages/jupyter-ai/jupyter_ai/handlers.py
@@ -8,6 +8,7 @@
import tornado
from jupyter_ai.chat_handlers import BaseChatHandler
+from jupyter_ai.config_manager import ConfigManager, KeyEmptyError, WriteConflictError
from jupyter_server.base.handlers import APIHandler as BaseAPIHandler
from jupyter_server.base.handlers import JupyterHandler
from pydantic import ValidationError
@@ -22,11 +23,11 @@
ChatRequest,
ChatUser,
ConnectionMessage,
- GlobalConfig,
HumanChatMessage,
ListProvidersEntry,
ListProvidersResponse,
Message,
+ UpdateConfigRequest,
)
if TYPE_CHECKING:
@@ -261,6 +262,7 @@ def get(self):
id=provider.id,
name=provider.name,
models=provider.models,
+ help=provider.help,
auth_strategy=provider.auth_strategy,
registry=provider.registry,
fields=provider.fields,
@@ -320,11 +322,11 @@ def get(self):
@web.authenticated
def post(self):
try:
- config = GlobalConfig(**self.get_json_body())
- self.config_manager.update(config)
+ config = UpdateConfigRequest(**self.get_json_body())
+ self.config_manager.update_config(config)
self.set_status(204)
self.finish()
- except ValidationError as e:
+ except (ValidationError, WriteConflictError, KeyEmptyError) as e:
self.log.exception(e)
raise HTTPError(500, str(e)) from e
except ValueError as e:
@@ -335,3 +337,16 @@ def post(self):
raise HTTPError(
500, "Unexpected error occurred while updating the config."
) from e
+
+
+class ApiKeysHandler(BaseAPIHandler):
+ @property
+ def config_manager(self) -> ConfigManager:
+ return self.settings["jai_config_manager"]
+
+ @web.authenticated
+ def delete(self, api_key_name: str):
+ try:
+ self.config_manager.delete_api_key(api_key_name)
+ except Exception as e:
+ raise HTTPError(500, str(e))
diff --git a/packages/jupyter-ai/jupyter_ai/models.py b/packages/jupyter-ai/jupyter_ai/models.py
index ca2030881..efe501923 100644
--- a/packages/jupyter-ai/jupyter_ai/models.py
+++ b/packages/jupyter-ai/jupyter_ai/models.py
@@ -1,7 +1,7 @@
from typing import Any, Dict, List, Literal, Optional, Union
from jupyter_ai_magics.providers import AuthStrategy, Field
-from pydantic import BaseModel
+from pydantic import BaseModel, validator
DEFAULT_CHUNK_SIZE = 2000
DEFAULT_CHUNK_OVERLAP = 100
@@ -79,6 +79,7 @@ class ListProvidersEntry(BaseModel):
name: str
model_id_label: Optional[str]
models: List[str]
+ help: Optional[str]
auth_strategy: AuthStrategy
registry: bool
fields: List[Field]
@@ -98,9 +99,47 @@ class IndexMetadata(BaseModel):
dirs: List[IndexedDir]
+class DescribeConfigResponse(BaseModel):
+ model_provider_id: Optional[str]
+ embeddings_provider_id: Optional[str]
+ send_with_shift_enter: bool
+ fields: Dict[str, Dict[str, Any]]
+ # when sending config over REST API, do not include values of the API keys,
+ # just the names.
+ api_keys: List[str]
+ # timestamp indicating when the configuration file was last read. should be
+ # passed to the subsequent UpdateConfig request.
+ last_read: int
+
+
+def forbid_none(cls, v):
+ assert v is not None, "size may not be None"
+ return v
+
+
+class UpdateConfigRequest(BaseModel):
+ model_provider_id: Optional[str]
+ embeddings_provider_id: Optional[str]
+ send_with_shift_enter: Optional[bool]
+ api_keys: Optional[Dict[str, str]]
+ fields: Optional[Dict[str, Dict[str, Any]]]
+ # if passed, this will raise an Error if the config was written to after the
+ # time specified by `last_read` to prevent write-write conflicts.
+ last_read: Optional[int]
+
+ _validate_send_wse = validator("send_with_shift_enter", allow_reuse=True)(
+ forbid_none
+ )
+ _validate_api_keys = validator("api_keys", allow_reuse=True)(forbid_none)
+ _validate_fields = validator("fields", allow_reuse=True)(forbid_none)
+
+
class GlobalConfig(BaseModel):
- model_provider_id: Optional[str] = None
- embeddings_provider_id: Optional[str] = None
- api_keys: Dict[str, str] = {}
- send_with_shift_enter: Optional[bool] = None
- fields: Dict[str, Dict[str, Any]] = {}
+ """Model used to represent the config by ConfigManager. This is exclusive to
+ the backend and should never be sent to the client."""
+
+ model_provider_id: Optional[str]
+ embeddings_provider_id: Optional[str]
+ send_with_shift_enter: bool
+ fields: Dict[str, Dict[str, Any]]
+ api_keys: Dict[str, str]
diff --git a/packages/jupyter-ai/jupyter_ai/tests/__snapshots__/test_config_manager.ambr b/packages/jupyter-ai/jupyter_ai/tests/__snapshots__/test_config_manager.ambr
new file mode 100644
index 000000000..cd254bedc
--- /dev/null
+++ b/packages/jupyter-ai/jupyter_ai/tests/__snapshots__/test_config_manager.ambr
@@ -0,0 +1,12 @@
+# serializer version: 1
+# name: test_snapshot_default_config
+ dict({
+ 'api_keys': list([
+ ]),
+ 'embeddings_provider_id': None,
+ 'fields': dict({
+ }),
+ 'model_provider_id': None,
+ 'send_with_shift_enter': False,
+ })
+# ---
diff --git a/packages/jupyter-ai/jupyter_ai/tests/test_config_manager.py b/packages/jupyter-ai/jupyter_ai/tests/test_config_manager.py
new file mode 100644
index 000000000..f7afbd29a
--- /dev/null
+++ b/packages/jupyter-ai/jupyter_ai/tests/test_config_manager.py
@@ -0,0 +1,247 @@
+import json
+import logging
+import os
+
+import pytest
+from jupyter_ai.config_manager import (
+ AuthError,
+ ConfigManager,
+ KeyInUseError,
+ WriteConflictError,
+)
+from jupyter_ai.models import DescribeConfigResponse, UpdateConfigRequest
+from jupyter_ai_magics.utils import get_em_providers, get_lm_providers
+from pydantic import ValidationError
+
+
+@pytest.fixture
+def config_path(jp_data_dir):
+ return str(jp_data_dir / "config.json")
+
+
+@pytest.fixture
+def schema_path(jp_data_dir):
+ return str(jp_data_dir / "config_schema.json")
+
+
+@pytest.fixture
+def common_cm_kwargs(config_path, schema_path):
+ """Kwargs that are commonly used when initializing the CM."""
+ log = logging.getLogger()
+ lm_providers = get_lm_providers()
+ em_providers = get_em_providers()
+ return {
+ "log": log,
+ "lm_providers": lm_providers,
+ "em_providers": em_providers,
+ "config_path": config_path,
+ "schema_path": schema_path,
+ }
+
+
+@pytest.fixture
+def cm(common_cm_kwargs):
+ """The default ConfigManager instance, with an empty config and config schema."""
+ return ConfigManager(**common_cm_kwargs)
+
+
+@pytest.fixture(autouse=True)
+def reset(config_path, schema_path):
+ """Fixture that deletes the config and config schema after each test."""
+ yield
+ try:
+ os.remove(config_path)
+ except OSError:
+ pass
+ try:
+ os.remove(schema_path)
+ except OSError:
+ pass
+
+
+def configure_to_cohere(cm: ConfigManager):
+ """Configures the ConfigManager to use Cohere language and embedding models
+ with the API key set. Returns a 3-tuple of the keyword arguments used."""
+ LM_GID = "cohere:xlarge"
+ EM_GID = "cohere:large"
+ API_KEYS = {"COHERE_API_KEY": "foobar"}
+ # the params use lowercase key names
+ LM_LID = "xlarge"
+ EM_LID = "large"
+ API_PARAMS = {"cohere_api_key": "foobar"}
+ req = UpdateConfigRequest(
+ model_provider_id=LM_GID, embeddings_provider_id=EM_GID, api_keys=API_KEYS
+ )
+ cm.update_config(req)
+ return LM_GID, EM_GID, LM_LID, EM_LID, API_PARAMS
+
+
+def configure_to_openai(cm: ConfigManager):
+ """Configures the ConfigManager to use OpenAI language and embedding models
+ with the API key set. Returns a 3-tuple of the keyword arguments used."""
+ LM_GID = "openai-chat-new:gpt-3.5-turbo"
+ EM_GID = "openai:text-embedding-ada-002"
+ API_KEYS = {"OPENAI_API_KEY": "foobar"}
+ LM_LID = "gpt-3.5-turbo"
+ EM_LID = "text-embedding-ada-002"
+ API_PARAMS = {"openai_api_key": "foobar"}
+ req = UpdateConfigRequest(
+ model_provider_id=LM_GID, embeddings_provider_id=EM_GID, api_keys=API_KEYS
+ )
+ cm.update_config(req)
+ return LM_GID, EM_GID, LM_LID, EM_LID, API_PARAMS
+
+
+def test_snapshot_default_config(cm: ConfigManager, snapshot):
+ config_from_cm: DescribeConfigResponse = cm.get_config()
+ assert config_from_cm == snapshot(exclude=lambda prop, path: prop == "last_read")
+
+
+def test_init_with_existing_config(
+ cm: ConfigManager, config_path: str, schema_path: str
+):
+ configure_to_cohere(cm)
+ del cm
+
+ log = logging.getLogger()
+ lm_providers = get_lm_providers()
+ em_providers = get_em_providers()
+ ConfigManager(
+ log=log,
+ lm_providers=lm_providers,
+ em_providers=em_providers,
+ config_path=config_path,
+ schema_path=schema_path,
+ )
+
+
+def test_property_access_on_default_config(cm: ConfigManager):
+ """Asserts that the CM behaves well with an empty, default
+ configuration."""
+ assert cm.lm_gid == None
+ assert cm.em_gid == None
+ assert cm.lm_provider == None
+ assert cm.lm_provider_params == None
+ assert cm.em_provider == None
+ assert cm.em_provider_params == None
+
+
+def test_indentation_depth(common_cm_kwargs, config_path):
+ """Asserts that the CM indents the configuration and respects the
+ `indentation_depth` trait when specified."""
+ INDENT_DEPTH = 7
+ ConfigManager(**common_cm_kwargs, indentation_depth=INDENT_DEPTH)
+ with open(config_path) as f:
+ config_file = f.read()
+ config_lines = config_file.split("\n")
+ lm_gid_line = next(
+ line for line in config_lines if '"model_provider_id":' in line
+ )
+ assert lm_gid_line.startswith(" " * INDENT_DEPTH)
+ assert not lm_gid_line.startswith(" " * (INDENT_DEPTH + 1))
+
+
+def test_describe(cm: ConfigManager):
+ LM_GID, EM_GID, LM_LID, EM_LID, API_PARAMS = configure_to_cohere(cm)
+
+ config_desc = cm.get_config()
+ assert config_desc.model_provider_id == LM_GID
+ assert config_desc.embeddings_provider_id == EM_GID
+ assert config_desc.api_keys == ["COHERE_API_KEY"]
+ assert cm.lm_provider_params == {**API_PARAMS, "model_id": LM_LID}
+ assert cm.em_provider_params == {**API_PARAMS, "model_id": EM_LID}
+
+
+def test_update(cm: ConfigManager):
+ LM_GID, EM_GID, LM_LID, EM_LID, API_PARAMS = configure_to_cohere(cm)
+
+ new_config = cm.get_config()
+ assert new_config.model_provider_id == LM_GID
+ assert new_config.embeddings_provider_id == EM_GID
+ assert new_config.api_keys == ["COHERE_API_KEY"]
+ assert cm.lm_provider_params == {**API_PARAMS, "model_id": LM_LID}
+ assert cm.em_provider_params == {**API_PARAMS, "model_id": EM_LID}
+
+
+def test_update_no_empty_field_dicts(cm: ConfigManager, config_path):
+ LM_GID, _, _, _, _ = configure_to_cohere(cm)
+ cm.update_config(UpdateConfigRequest(fields={LM_GID: {}}))
+
+ with open(config_path) as f:
+ raw_config = json.loads(f.read())
+ assert raw_config["fields"] == {}
+
+
+def test_update_fails_with_invalid_req():
+ with pytest.raises(ValidationError):
+ UpdateConfigRequest(send_with_shift_enter=None)
+ with pytest.raises(ValidationError):
+ UpdateConfigRequest(fields=None)
+ with pytest.raises(ValidationError):
+ UpdateConfigRequest(api_keys=None)
+
+
+def test_update_fails_without_auth(cm: ConfigManager):
+ LM_GID = "cohere:xlarge"
+ EM_GID = "cohere:large"
+ req = UpdateConfigRequest(model_provider_id=LM_GID, embeddings_provider_id=EM_GID)
+ with pytest.raises(AuthError):
+ cm.update_config(req)
+
+
+def test_update_after_describe(cm: ConfigManager):
+ configure_to_cohere(cm)
+ last_read = cm.get_config().last_read
+ cm.update_config(
+ UpdateConfigRequest(model_provider_id="cohere:medium", last_read=last_read)
+ )
+
+ new_config = cm.get_config()
+ assert new_config.model_provider_id == "cohere:medium"
+
+
+def test_forbid_write_write_conflict(cm: ConfigManager):
+ configure_to_openai(cm)
+ # call DescribeConfig
+ last_read = cm.get_config().last_read
+
+ # call UpdateConfig separately after DescribeConfig with `last_read` unset
+ # to force a write
+ cm.update_config(UpdateConfigRequest(model_provider_id="openai-chat-new:gpt-4"))
+
+ # this update should fail, as this generates a write-write conflict (where
+ # the second update clobbers the first update).
+ with pytest.raises(WriteConflictError):
+ cm.update_config(
+ UpdateConfigRequest(
+ model_provider_id="openai-chat-new:gpt-4-32k", last_read=last_read
+ )
+ )
+
+
+def test_update_api_key(cm: ConfigManager):
+ """Asserts that updates via direct edits to the config file are immediately
+ reflected by the ConfigManager."""
+ LM_GID, EM_GID, LM_LID, EM_LID, _ = configure_to_cohere(cm)
+ cm.update_config(UpdateConfigRequest(api_keys={"COHERE_API_KEY": "barfoo"}))
+
+ config_desc = cm.get_config()
+ assert config_desc.api_keys == ["COHERE_API_KEY"]
+ assert cm.lm_provider_params == {"cohere_api_key": "barfoo", "model_id": LM_LID}
+ assert cm.em_provider_params == {"cohere_api_key": "barfoo", "model_id": EM_LID}
+
+
+def test_delete_api_key(cm: ConfigManager):
+ configure_to_cohere(cm)
+ cm.update_config(UpdateConfigRequest(api_keys={"OPENAI_API_KEY": "asdf"}))
+ assert cm.get_config().api_keys == ["COHERE_API_KEY", "OPENAI_API_KEY"]
+
+ cm.delete_api_key("OPENAI_API_KEY")
+ assert cm.get_config().api_keys == ["COHERE_API_KEY"]
+
+
+def test_forbid_deleting_key_in_use(cm: ConfigManager):
+ configure_to_cohere(cm)
+
+ with pytest.raises(KeyInUseError):
+ cm.delete_api_key("COHERE_API_KEY")
diff --git a/packages/jupyter-ai/package.json b/packages/jupyter-ai/package.json
index 513650c8a..58f074c8d 100644
--- a/packages/jupyter-ai/package.json
+++ b/packages/jupyter-ai/package.json
@@ -1,6 +1,6 @@
{
"name": "@jupyter-ai/core",
- "version": "2.1.0",
+ "version": "2.2.0",
"description": "A generative AI extension for JupyterLab",
"keywords": [
"jupyter",
@@ -54,7 +54,7 @@
"watch": "run-p watch:src watch:labextension",
"watch:src": "tsc -w",
"watch:labextension": "jupyter labextension watch .",
- "dev-install": "pip install -e \".[dev,all]\" && jupyter labextension develop . --overwrite && jupyter server extension enable jupyter_ai",
+ "dev-install": "pip install -e \".[dev,all,test]\" && jupyter labextension develop . --overwrite && jupyter server extension enable jupyter_ai",
"dev-uninstall": "pip uninstall jupyter_ai -y"
},
"dependencies": {
@@ -87,14 +87,14 @@
"@babel/preset-env": "^7.0.0",
"@jupyterlab/builder": "^4",
"@jupyterlab/testutils": "^4",
- "@types/jest": "^26.0.0",
+ "@types/jest": "^29",
"@types/react-syntax-highlighter": "^15.5.6",
"@typescript-eslint/eslint-plugin": "^4.8.1",
"@typescript-eslint/parser": "^4.8.1",
"eslint": "^7.14.0",
"eslint-config-prettier": "^6.15.0",
"eslint-plugin-prettier": "^3.1.4",
- "jest": "^26.0.0",
+ "jest": "^29",
"mkdirp": "^1.0.3",
"npm-run-all": "^4.1.5",
"prettier": "^2.1.1",
@@ -104,7 +104,7 @@
"stylelint-config-recommended": "^6.0.0",
"stylelint-config-standard": "~24.0.0",
"stylelint-prettier": "^2.0.0",
- "ts-jest": "^26.0.0",
+ "ts-jest": "^29",
"typescript": "5.1.6",
"y-protocols": "^1.0.5"
},
diff --git a/packages/jupyter-ai/pyproject.toml b/packages/jupyter-ai/pyproject.toml
index 71ae54ff4..6735f9c2e 100644
--- a/packages/jupyter-ai/pyproject.toml
+++ b/packages/jupyter-ai/pyproject.toml
@@ -34,6 +34,8 @@ dependencies = [
"dask[distributed]",
"faiss-cpu", # Not distributed by official repo
"typing_extensions>=4.5.0",
+ "traitlets>=5.0",
+ "deepmerge>=1.0"
]
dynamic = ["version", "description", "authors", "urls", "keywords"]
@@ -48,7 +50,8 @@ test = [
"pytest",
"pytest-asyncio",
"pytest-cov",
- "pytest-tornasync"
+ "pytest-tornasync",
+ "syrupy~=4.0.8"
]
dev = [
diff --git a/packages/jupyter-ai/src/components/chat-settings.tsx b/packages/jupyter-ai/src/components/chat-settings.tsx
index deb013118..583cfa9f0 100644
--- a/packages/jupyter-ai/src/components/chat-settings.tsx
+++ b/packages/jupyter-ai/src/components/chat-settings.tsx
@@ -1,4 +1,7 @@
import React, { useEffect, useState, useMemo } from 'react';
+
+import ReactMarkdown from 'react-markdown';
+
import { Box } from '@mui/system';
import {
Alert,
@@ -10,240 +13,173 @@ import {
Radio,
RadioGroup,
TextField,
- CircularProgress
+ CircularProgress,
+ Typography
} from '@mui/material';
import { Select } from './select';
import { AiService } from '../handler';
import { ModelFields } from './settings/model-fields';
-
-enum ChatSettingsState {
- // chat settings is making initial fetches
- Loading,
- // chat settings is ready (happy path)
- Ready,
- // chat settings failed to make initial fetches
- FetchError,
- // chat settings failed to submit the save request
- SubmitError,
- // chat settings successfully submitted the save request
- Success
-}
-
-function getProviderId(globalModelId: string | null) {
- if (!globalModelId) {
- return null;
- }
-
- return globalModelId.split(':')[0];
-}
-
-function getLocalModelId(globalModelId: string | null) {
- if (!globalModelId) {
- return null;
- }
-
- const components = globalModelId.split(':');
- return components[components.length - 1];
-}
-
-function getProvider(
- globalModelId: string | null,
- providers: AiService.ListProvidersResponse
-) {
- const providerId = getProviderId(globalModelId);
- const provider = providers.providers.find(p => p.id === providerId);
- return provider;
-}
-
-function fromRegistryProvider(
- globalModelId: string | null,
- providers: AiService.ListProvidersResponse
-) {
- return getProvider(globalModelId, providers)?.registry ?? false;
-}
+import { ServerInfoState, useServerInfo } from './settings/use-server-info';
+import { ExistingApiKeys } from './settings/existing-api-keys';
+import { minifyUpdate } from './settings/minify';
+import { useStackingAlert } from './mui-extras/stacking-alert';
/**
* Component that returns the settings view in the chat panel.
- *
- * Implementation notes:
- * - `config` is the configuration last fetched from the backend. `inputConfig`
- * is the editable copy of that object that stores all user input state.
- *
- * - `inputConfig.model_provider_id` reflects the global model ID only if the
- * provider is not a registry provider. Otherwise, it is set to
- * `:*`.
*/
export function ChatSettings(): JSX.Element {
- const [state, setState] = useState(
- ChatSettingsState.Loading
- );
- // error message from initial fetch
- const [fetchEmsg, setFetchEmsg] = useState();
-
// state fetched on initial render
- const [config, setConfig] = useState();
- const [lmProviders, setLmProviders] =
- useState();
- const [emProviders, setEmProviders] =
- useState();
+ const server = useServerInfo();
- // user inputs
- const [inputConfig, setInputConfig] = useState({
- model_provider_id: null,
- embeddings_provider_id: null,
- api_keys: {},
- send_with_shift_enter: null,
- fields: {}
- });
+ // initialize alert helper
+ const alert = useStackingAlert();
+ const apiKeysAlert = useStackingAlert();
- // whether the form is currently saving
- const [saving, setSaving] = useState(false);
- // error message from submission
- const [saveEmsg, setSaveEmsg] = useState();
-
- // whether to show the language model's local model ID input
+ // user inputs
+ const [lmProvider, setLmProvider] =
+ useState(null);
const [showLmLocalId, setShowLmLocalId] = useState(false);
- const [lmLocalId, setLmLocalId] = useState('*');
-
- // provider of the currently selected language model
- const lmProvider = useMemo(() => {
- if (!inputConfig.model_provider_id || !lmProviders) {
- return;
+ const [helpMarkdown, setHelpMarkdown] = useState(null);
+ const [lmLocalId, setLmLocalId] = useState('');
+ const lmGlobalId = useMemo(() => {
+ if (!lmProvider) {
+ return null;
}
- return getProvider(inputConfig.model_provider_id, lmProviders);
- }, [inputConfig.model_provider_id, lmProviders]);
+ return lmProvider.id + ':' + lmLocalId;
+ }, [lmProvider, lmLocalId]);
- // global model ID of the currently selected language model
- const lmGlobalId = useMemo(() => {
- if (!inputConfig.model_provider_id || !lmProvider) {
+ const [emGlobalId, setEmGlobalId] = useState(null);
+ const emProvider = useMemo(() => {
+ if (emGlobalId === null || server.state !== ServerInfoState.Ready) {
return null;
}
- return lmProvider?.registry
- ? `${lmProvider.id}:${lmLocalId}`
- : inputConfig.model_provider_id;
- }, [inputConfig.model_provider_id, lmProvider, lmProviders, lmLocalId]);
+ return getProvider(emGlobalId, server.emProviders);
+ }, [emGlobalId, server]);
+
+ const [apiKeys, setApiKeys] = useState>({});
+ const [sendWse, setSendWse] = useState(false);
+ const [fields, setFields] = useState>({});
+
+ // whether the form is currently saving
+ const [saving, setSaving] = useState(false);
/**
- * Effect: call APIs on initial render
+ * Effect: initialize inputs after fetching server info.
*/
useEffect(() => {
- async function getConfig() {
- try {
- const [config, lmProviders, emProviders] = await Promise.all([
- AiService.getConfig(),
- AiService.listLmProviders(),
- AiService.listEmProviders()
- ]);
- setConfig(config);
- setLmProviders(lmProviders);
- setEmProviders(emProviders);
-
- // if a model from a registry provider was previously selected, store
- // the local model ID in a separate text field.
- if (fromRegistryProvider(config.model_provider_id, lmProviders)) {
- setShowLmLocalId(true);
- const lmPid = getProviderId(config.model_provider_id);
- setLmLocalId(getLocalModelId(config.model_provider_id) as string);
- setInputConfig({
- ...config,
- model_provider_id: `${lmPid}:*`
- });
- } else {
- setInputConfig(config);
- }
+ if (server.state !== ServerInfoState.Ready) {
+ return;
+ }
- setState(ChatSettingsState.Ready);
- } catch (e) {
- console.error(e);
- if (e instanceof Error) {
- setFetchEmsg(e.message);
- }
- setState(ChatSettingsState.FetchError);
- }
+ setLmLocalId(server.lmLocalId);
+ setEmGlobalId(server.config.embeddings_provider_id);
+ setSendWse(server.config.send_with_shift_enter);
+ setHelpMarkdown(server.lmProvider?.help ?? null);
+ if (server.lmProvider?.registry) {
+ setShowLmLocalId(true);
}
- getConfig();
- }, []);
+ setLmProvider(server.lmProvider);
+ }, [server]);
/**
- * Effect: re-initialize API keys object whenever the selected LM/EM changes.
+ * Effect: re-initialize apiKeys object whenever the selected LM/EM changes.
+ * Properties with a value of '' indicate necessary user input.
*/
useEffect(() => {
- const selectedLmpId = getProviderId(inputConfig.model_provider_id);
- const selectedEmpId = getProviderId(inputConfig.embeddings_provider_id);
- const lmp = lmProviders?.providers.find(
- provider => provider.id === selectedLmpId
- );
- const emp = emProviders?.providers.find(
- provider => provider.id === selectedEmpId
- );
- const newApiKeys: Record = {};
+ if (server.state !== ServerInfoState.Ready) {
+ return;
+ }
- if (lmp?.auth_strategy && lmp.auth_strategy.type === 'env') {
- newApiKeys[lmp.auth_strategy.name] =
- config?.api_keys[lmp.auth_strategy.name] || '';
+ const newApiKeys: Record = {};
+ const lmAuth = lmProvider?.auth_strategy;
+ const emAuth = emProvider?.auth_strategy;
+ if (
+ lmAuth?.type === 'env' &&
+ !server.config.api_keys.includes(lmAuth.name)
+ ) {
+ newApiKeys[lmAuth.name] = '';
}
- if (emp?.auth_strategy && emp.auth_strategy.type === 'env') {
- newApiKeys[emp.auth_strategy.name] =
- config?.api_keys[emp.auth_strategy.name] || '';
+ if (
+ emAuth?.type === 'env' &&
+ !server.config.api_keys.includes(emAuth.name)
+ ) {
+ newApiKeys[emAuth.name] = '';
}
- setInputConfig(inputConfig => ({
- ...inputConfig,
- api_keys: { ...config?.api_keys, ...newApiKeys }
- }));
- }, [inputConfig.model_provider_id, inputConfig.embeddings_provider_id]);
+ setApiKeys(newApiKeys);
+ }, [lmProvider, emProvider, server]);
- const handleSave = async () => {
- const inputConfigCopy: AiService.Config = {
- ...inputConfig,
- model_provider_id: lmGlobalId,
- api_keys: { ...inputConfig.api_keys },
- send_with_shift_enter: inputConfig.send_with_shift_enter ?? true
- };
-
- // delete any empty api keys
- for (const apiKey in inputConfigCopy.api_keys) {
- if (inputConfigCopy.api_keys[apiKey] === '') {
- delete inputConfigCopy.api_keys[apiKey];
- }
+ /**
+ * Effect: re-initialize fields object whenever the selected LM changes.
+ */
+ useEffect(() => {
+ if (server.state !== ServerInfoState.Ready || !lmGlobalId) {
+ return;
}
+ const currFields: Record =
+ server.config.fields?.[lmGlobalId] ?? {};
+ setFields(currFields);
+ }, [server, lmProvider]);
+
+ const handleSave = async () => {
// compress fields with JSON values
- for (const gmid in inputConfigCopy.fields) {
- for (const fieldKey in inputConfigCopy.fields[gmid]) {
- const fieldVal = inputConfigCopy.fields[gmid][fieldKey];
- if (typeof fieldVal !== 'string') {
- continue;
- }
+ if (server.state !== ServerInfoState.Ready) {
+ return;
+ }
- try {
- const parsedFieldVal = JSON.parse(fieldVal);
- const compressedFieldVal = JSON.stringify(parsedFieldVal);
- inputConfigCopy.fields[gmid][fieldKey] = compressedFieldVal;
- } catch (e) {
- continue;
- }
+ for (const fieldKey in fields) {
+ const fieldVal = fields[fieldKey];
+ if (typeof fieldVal !== 'string' || !fieldVal.trim().startsWith('{')) {
+ continue;
+ }
+
+ try {
+ const parsedFieldVal = JSON.parse(fieldVal);
+ const compressedFieldVal = JSON.stringify(parsedFieldVal);
+ fields[fieldKey] = compressedFieldVal;
+ } catch (e) {
+ continue;
}
}
+ let updateRequest: AiService.UpdateConfigRequest = {
+ model_provider_id: lmGlobalId,
+ embeddings_provider_id: emGlobalId,
+ api_keys: apiKeys,
+ ...(lmGlobalId && {
+ fields: {
+ [lmGlobalId]: fields
+ }
+ }),
+ send_with_shift_enter: sendWse
+ };
+ updateRequest = minifyUpdate(server.config, updateRequest);
+ updateRequest.last_read = server.config.last_read;
+
setSaving(true);
try {
- await AiService.updateConfig(inputConfigCopy);
+ await apiKeysAlert.clear();
+ await AiService.updateConfig(updateRequest);
} catch (e) {
console.error(e);
- if (e instanceof Error) {
- setSaveEmsg(e.message);
- }
- setState(ChatSettingsState.SubmitError);
+ const msg =
+ e instanceof Error || typeof e === 'string'
+ ? e.toString()
+ : 'An unknown error occurred. Check the console for more details.';
+ alert.show('error', msg);
+ return;
+ } finally {
+ setSaving(false);
}
- setState(ChatSettingsState.Success);
- setSaving(false);
+ await server.refetchAll();
+ alert.show('success', 'Settings saved successfully.');
};
- if (state === ChatSettingsState.Loading) {
+ if (server.state === ServerInfoState.Loading) {
return (
- {fetchEmsg
- ? `An error occurred. Error details:\n\n${fetchEmsg}`
- : 'An unknown error occurred. Check the console for more details.'}
+ {server.error ||
+ 'An unknown error occurred. Check the console for more details.'}
);
@@ -287,48 +217,45 @@ export function ChatSettings(): JSX.Element {
return (
.MuiAlert-root': { marginBottom: 2 },
+ '& .MuiAlert-root': {
+ marginTop: 2
+ },
overflowY: 'auto'
}}
>
- {state === ChatSettingsState.SubmitError && (
-
- {saveEmsg
- ? `An error occurred. Error details:\n\n${saveEmsg}`
- : 'An unknown error occurred. Check the console for more details.'}
-
- )}
- {state === ChatSettingsState.Success && (
- Settings saved successfully.
- )}
-
{/* Language model section */}
Language model
+ {alert.jsx}
);
}
+
+function getProviderId(globalModelId: string) {
+ if (!globalModelId) {
+ return null;
+ }
+
+ return globalModelId.split(':')[0];
+}
+
+function getModelLocalId(globalModelId: string) {
+ if (!globalModelId) {
+ return null;
+ }
+
+ const components = globalModelId.split(':');
+ return components[components.length - 1];
+}
+
+function getProvider(
+ globalModelId: string,
+ providers: AiService.ListProvidersResponse
+): AiService.ListProvidersEntry | null {
+ const providerId = getProviderId(globalModelId);
+ const provider = providers.providers.find(p => p.id === providerId);
+ return provider ?? null;
+}
diff --git a/packages/jupyter-ai/src/components/mui-extras/async-icon-button.tsx b/packages/jupyter-ai/src/components/mui-extras/async-icon-button.tsx
new file mode 100644
index 000000000..5de6b3913
--- /dev/null
+++ b/packages/jupyter-ai/src/components/mui-extras/async-icon-button.tsx
@@ -0,0 +1,89 @@
+import React, { useMemo, useState } from 'react';
+import { Box, CircularProgress, IconButton } from '@mui/material';
+import { ContrastingTooltip } from './contrasting-tooltip';
+
+type AsyncIconButtonProps = {
+ onClick: () => Promise;
+ onError: (emsg: string) => unknown;
+ onSuccess: () => unknown;
+ children: JSX.Element;
+ onMouseDown?: React.MouseEventHandler;
+ /**
+ * Whether this component should require confirmation from the user before
+ * calling `props.onClick()`. This is only read on initial render.
+ */
+ confirm?: boolean;
+};
+
+/**
+ * A MUI IconButton that indicates whether the click handler is resolving via a
+ * circular spinner around the IconButton. Requests user confirmation when
+ * `confirm` is set to `true`.
+ */
+export function AsyncIconButton(props: AsyncIconButtonProps): JSX.Element {
+ const [loading, setLoading] = useState(false);
+ const [showConfirm, setShowConfirm] = useState(false);
+ const shouldConfirm = useMemo(() => !!props.confirm, []);
+
+ async function handleClick() {
+ if (shouldConfirm && !showConfirm) {
+ setShowConfirm(true);
+ return;
+ }
+
+ setLoading(true);
+ let thrown = false;
+ try {
+ await props.onClick();
+ } catch (e: unknown) {
+ thrown = true;
+ if (e instanceof Error) {
+ props.onError(e.toString());
+ } else {
+ // this should never happen.
+ // if this happens, it means the thrown value was not of type `Error`.
+ props.onError('Unknown error occurred.');
+ }
+ }
+ setLoading(false);
+ if (!thrown) {
+ props.onSuccess();
+ }
+ }
+
+ return (
+
+ setShowConfirm(false)}
+ arrow
+ placement="top"
+ >
+
+ {props.children}
+
+
+ {loading && (
+
+ )}
+
+ );
+}
diff --git a/packages/jupyter-ai/src/components/mui-extras/contrasting-tooltip.tsx b/packages/jupyter-ai/src/components/mui-extras/contrasting-tooltip.tsx
new file mode 100644
index 000000000..21f5a86d6
--- /dev/null
+++ b/packages/jupyter-ai/src/components/mui-extras/contrasting-tooltip.tsx
@@ -0,0 +1,22 @@
+import React from 'react';
+import { styled, Tooltip, TooltipProps, tooltipClasses } from '@mui/material';
+
+/**
+ * A restyled MUI tooltip component that is dark by default to improve contrast
+ * against JupyterLab's default light theme. TODO: support dark themes.
+ */
+export const ContrastingTooltip = styled(
+ ({ className, ...props }: TooltipProps) => (
+
+ )
+)(({ theme }) => ({
+ [`& .${tooltipClasses.tooltip}`]: {
+ backgroundColor: theme.palette.common.black,
+ color: theme.palette.common.white,
+ boxShadow: theme.shadows[1],
+ fontSize: 11
+ },
+ [`& .${tooltipClasses.arrow}`]: {
+ color: theme.palette.common.black
+ }
+}));
diff --git a/packages/jupyter-ai/src/components/mui-extras/stacking-alert.tsx b/packages/jupyter-ai/src/components/mui-extras/stacking-alert.tsx
new file mode 100644
index 000000000..2fe438d12
--- /dev/null
+++ b/packages/jupyter-ai/src/components/mui-extras/stacking-alert.tsx
@@ -0,0 +1,100 @@
+import React, { useState, useMemo, useCallback } from 'react';
+import { Alert, AlertColor, Collapse } from '@mui/material';
+
+export type StackingAlert = {
+ /**
+ * A function that triggers an alert. Successive alerts are indicated in the
+ * JSX element.
+ * @param alertType Type of alert.
+ * @param msg Message contained within the alert.
+ * @returns
+ */
+ show: (alertType: AlertColor, msg: string | Error) => void;
+ /**
+ * The Alert JSX element that should be rendered by the consumer.
+ * This will be `null` if no alerts were triggered.
+ */
+ jsx: JSX.Element | null;
+ /**
+ * An async function that closes the alert, and returns a Promise that
+ * resolves when the onClose animation is completed.
+ */
+ clear: () => void | Promise;
+};
+
+/**
+ * Hook that returns a function to trigger an alert, and a corresponding alert
+ * JSX element for the consumer to render. The number of successive identical
+ * alerts `X` is indicated in the element via the suffix "(X)".
+ */
+export function useStackingAlert(): StackingAlert {
+ const [type, setType] = useState(null);
+ const [msg, setMsg] = useState('');
+ const [repeatCount, setRepeatCount] = useState(0);
+ const [expand, setExpand] = useState(false);
+ const [exitPromise, setExitPromise] = useState>();
+ const [exitPromiseResolver, setExitPromiseResolver] = useState<() => void>();
+
+ const showAlert = useCallback(
+ (nextType: AlertColor, _nextMsg: string | Error) => {
+ // if the alert is identical to the previous alert, increment the
+ // `repeatCount` indicator.
+ const nextMsg = _nextMsg.toString();
+ if (nextType === type && nextMsg === msg) {
+ setRepeatCount(currCount => currCount + 1);
+ return;
+ }
+
+ if (type === null) {
+ // if this alert is being shown for the first time, initialize the
+ // exitPromise so we can await it on `clear()`.
+ setExitPromise(
+ new Promise(res => {
+ setExitPromiseResolver(() => res);
+ })
+ );
+ }
+
+ setType(nextType);
+ setMsg(nextMsg);
+ setRepeatCount(0);
+ setExpand(true);
+ },
+ [msg, type]
+ );
+
+ const alertJsx = useMemo(
+ () => (
+ {
+ exitPromiseResolver?.();
+ // only clear the alert after the Collapse exits, otherwise the alert
+ // disappears without any animation.
+ setType(null);
+ setMsg('');
+ setRepeatCount(0);
+ }}
+ timeout={200}
+ >
+ {type !== null && (
+
+ {msg + (repeatCount ? ` (${repeatCount})` : '')}
+
+ )}
+
+ ),
+ [msg, repeatCount, type, expand, exitPromiseResolver]
+ );
+
+ const clearAlert = useCallback(() => {
+ setExpand(false);
+ return exitPromise;
+ }, [expand, exitPromise]);
+
+ return {
+ show: showAlert,
+ jsx: alertJsx,
+ clear: clearAlert
+ };
+}
diff --git a/packages/jupyter-ai/src/components/settings/__tests__/chat-settings.spec.ts b/packages/jupyter-ai/src/components/settings/__tests__/chat-settings.spec.ts
new file mode 100644
index 000000000..edb2d3332
--- /dev/null
+++ b/packages/jupyter-ai/src/components/settings/__tests__/chat-settings.spec.ts
@@ -0,0 +1,63 @@
+import { minifyPatchObject } from '../minify';
+
+const COMPLEX_OBJECT = {
+ primitive: 0,
+ array: ['a'],
+ object: { nested: { field: 0 } }
+};
+
+describe('minifyPatchObject', () => {
+ test('returns empty object if patch is identical', () => {
+ const obj = COMPLEX_OBJECT;
+ const patch = JSON.parse(JSON.stringify(obj));
+
+ expect(minifyPatchObject(obj, patch)).toEqual({});
+ });
+
+ test('returns empty object if patch is empty', () => {
+ expect(minifyPatchObject(COMPLEX_OBJECT, {})).toEqual({});
+ });
+
+ test('returns patch if object is empty', () => {
+ expect(minifyPatchObject({}, COMPLEX_OBJECT)).toEqual(COMPLEX_OBJECT);
+ });
+
+ test('should remove unchanged props from patch', () => {
+ const obj = {
+ unchanged: 'foo',
+ changed: 'bar',
+ nested: {
+ unchanged: 'foo',
+ changed: 'bar'
+ }
+ };
+ const patch = {
+ unchanged: 'foo',
+ changed: 'baz',
+ nested: {
+ unchanged: 'foo',
+ changed: 'baz'
+ }
+ };
+
+ expect(minifyPatchObject(obj, patch)).toEqual({
+ changed: 'baz',
+ nested: {
+ changed: 'baz'
+ }
+ });
+ });
+
+ test('defers to patch object when property types mismatch', () => {
+ const obj = {
+ api_keys: ['ANTHROPIC_API_KEY']
+ };
+ const patch = {
+ api_keys: {
+ OPENAI_API_KEY: 'foobar'
+ }
+ };
+
+ expect(minifyPatchObject(obj, patch)).toEqual(patch);
+ });
+});
diff --git a/packages/jupyter-ai/src/components/settings/existing-api-keys.tsx b/packages/jupyter-ai/src/components/settings/existing-api-keys.tsx
new file mode 100644
index 000000000..468f26796
--- /dev/null
+++ b/packages/jupyter-ai/src/components/settings/existing-api-keys.tsx
@@ -0,0 +1,234 @@
+import React, { useEffect, useCallback, useRef, useState } from 'react';
+import {
+ Box,
+ IconButton,
+ Typography,
+ TextField,
+ InputAdornment
+} from '@mui/material';
+import {
+ Edit,
+ DeleteOutline,
+ Cancel,
+ Check,
+ Visibility,
+ VisibilityOff
+} from '@mui/icons-material';
+import { AsyncIconButton } from '../mui-extras/async-icon-button';
+
+import { AiService } from '../../handler';
+import { StackingAlert } from '../mui-extras/stacking-alert';
+
+export type ExistingApiKeysProps = {
+ alert: StackingAlert;
+ apiKeys: string[];
+ onSuccess: () => unknown;
+};
+
+/**
+ * Component that renders a list of existing API keys. Each API key is rendered
+ * by a unique `ExistingApiKey` component.
+ */
+export function ExistingApiKeys(props: ExistingApiKeysProps): JSX.Element {
+ // current editable API key name, if any.
+ const [editableApiKey, setEditableApiKey] = useState(null);
+
+ return (
+ .MuiBox-root:not(:first-child)': {
+ marginTop: -2
+ }
+ }}
+ >
+ {props.apiKeys.map(apiKey => (
+
+ ))}
+ {props.alert.jsx}
+
+ );
+}
+
+type ExistingApiKeyProps = {
+ alert: StackingAlert;
+ apiKey: string;
+ editable: boolean;
+ setEditable: React.Dispatch>;
+ onSuccess: () => unknown;
+};
+
+/**
+ * Component that renders a single existing API key specified by `props.apiKey`.
+ * Includes actions for editing and deleting the API key.
+ */
+function ExistingApiKey(props: ExistingApiKeyProps) {
+ const [input, setInput] = useState('');
+ const [inputVisible, setInputVisible] = useState(false);
+ const [error, setError] = useState(false);
+ const inputRef = useRef();
+
+ /**
+ * Effect: Select the input after `editable` is set to `true`. This needs to
+ * be done in an effect because the TextField needs to be rendered with
+ * `disabled=false` first. When `editable` is set to `false`, reset any
+ * input-related state.
+ */
+ useEffect(() => {
+ if (props.editable) {
+ inputRef.current?.focus();
+ } else {
+ setInput('');
+ setInputVisible(false);
+ setError(false);
+ }
+ }, [props.editable]);
+
+ const onEditIntent = useCallback(() => {
+ props.setEditable(props.apiKey);
+ }, []);
+
+ const onDelete = useCallback(() => {
+ return AiService.deleteApiKey(props.apiKey);
+ }, []);
+
+ const toggleInputVisibility = useCallback(() => {
+ setInputVisible(visible => !visible);
+ }, []);
+
+ const onEditCancel = useCallback(() => {
+ props.setEditable(null);
+ }, []);
+
+ const onEditSubmit = useCallback(() => {
+ return AiService.updateConfig({
+ api_keys: { [props.apiKey]: input }
+ });
+ }, [input]);
+
+ const onError = useCallback(
+ emsg => {
+ props.alert.show('error', emsg);
+ },
+ [props.alert]
+ );
+
+ const validateInput = useCallback(() => {
+ if (!props.editable) {
+ return;
+ }
+
+ setError(!input);
+ }, [props.editable, input]);
+
+ const onEditSuccess = useCallback(() => {
+ props.setEditable(null);
+ props.alert.show('success', 'API key updated successfully.');
+ props.onSuccess();
+ }, [props.alert, props.onSuccess]);
+
+ const onDeleteSuccess = useCallback(() => {
+ props.alert.show('success', 'API key deleted successfully.');
+ props.onSuccess();
+ }, [props.alert, props.onSuccess]);
+
+ return (
+
+ setInput(e.target.value)}
+ disabled={!props.editable}
+ inputRef={inputRef}
+ // validation props
+ onBlur={validateInput}
+ error={error}
+ helperText={'API key value must not be empty'}
+ FormHelperTextProps={{
+ sx: {
+ visibility: error ? 'unset' : 'hidden',
+ margin: 0,
+ whiteSpace: 'nowrap'
+ }
+ }}
+ // style props
+ size="small"
+ variant="standard"
+ type={inputVisible ? 'text' : 'password'}
+ label={
+
+ {props.apiKey}
+
+ }
+ InputProps={{
+ endAdornment: props.editable && (
+
+ e.preventDefault()}
+ >
+ {inputVisible ? : }
+
+
+ )
+ }}
+ sx={{
+ flexGrow: 1,
+ margin: 0,
+ '& .MuiInputBase-input': {
+ padding: 0,
+ paddingBottom: 1
+ }
+ }}
+ />
+
+ {props.editable ? (
+ // 16px margin top - 5px padding
+ <>
+ e.preventDefault()}
+ >
+
+
+ e.preventDefault()}
+ confirm={true}
+ >
+
+
+
+ ) : (
+ <>
+
+
+
+
+
+
+
+ )}
+
+
+ );
+}
diff --git a/packages/jupyter-ai/src/components/settings/minify.ts b/packages/jupyter-ai/src/components/settings/minify.ts
new file mode 100644
index 000000000..3de096ec0
--- /dev/null
+++ b/packages/jupyter-ai/src/components/settings/minify.ts
@@ -0,0 +1,56 @@
+import { AiService } from '../../handler';
+
+/**
+ * Function that minimizes the `UpdateConfigRequest` object prior to submission.
+ * Removes properties with values identical to those specified in the server
+ * configuration.
+ */
+export function minifyUpdate(
+ config: AiService.DescribeConfigResponse,
+ update: AiService.UpdateConfigRequest
+): AiService.UpdateConfigRequest {
+ return minifyPatchObject(config, update) as AiService.UpdateConfigRequest;
+}
+
+/**
+ * Function that removes all properties from `patch` that have identical values
+ * to `obj` recursively.
+ */
+export function minifyPatchObject(
+ obj: Record,
+ patch: Record
+): Record {
+ const diffObj: Record = {};
+ for (const key in patch) {
+ if (!(key in obj) || typeof obj[key] !== typeof patch[key]) {
+ // if key is not present in oldObj, or if the value types do not match,
+ // use the value of `patch`.
+ diffObj[key] = patch[key];
+ continue;
+ }
+
+ const objVal = obj[key];
+ const patchVal = patch[key];
+ if (Array.isArray(objVal) && Array.isArray(patchVal)) {
+ // if objects are both arrays but are not equal, then use the value
+ const areNotEqual =
+ objVal.length !== patchVal.length ||
+ !objVal.every((objVal_i, i) => objVal_i === patchVal[i]);
+ if (areNotEqual) {
+ diffObj[key] = patchVal;
+ }
+ } else if (typeof patchVal === 'object') {
+ // if the value is an object, run `diffObjects` recursively.
+ const childPatch = minifyPatchObject(objVal, patchVal);
+ const isNonEmpty = !!Object.keys(childPatch)?.length;
+ if (isNonEmpty) {
+ diffObj[key] = childPatch;
+ }
+ } else if (objVal !== patchVal) {
+ // otherwise, use the value of `patch` only if it differs.
+ diffObj[key] = patchVal;
+ }
+ }
+
+ return diffObj;
+}
diff --git a/packages/jupyter-ai/src/components/settings/model-fields.tsx b/packages/jupyter-ai/src/components/settings/model-fields.tsx
index bc71c3d96..aa580d1f4 100644
--- a/packages/jupyter-ai/src/components/settings/model-fields.tsx
+++ b/packages/jupyter-ai/src/components/settings/model-fields.tsx
@@ -3,17 +3,14 @@ import { AiService } from '../../handler';
import { TextField } from '@mui/material';
export type ModelFieldProps = {
- /**
- * The global model ID to which these fields belong.
- */
- gmid: string;
field: AiService.Field;
- config: AiService.Config;
- setConfig: (newConfig: AiService.Config) => unknown;
+ values: Record;
+ onChange: (newValues: Record) => unknown;
};
export function ModelField(props: ModelFieldProps): JSX.Element {
const [errorMessage, setErrorMessage] = useState(null);
+ const value = props.values?.[props.field.key];
function handleChange(
e: React.ChangeEvent
@@ -41,15 +38,9 @@ export function ModelField(props: ModelFieldProps): JSX.Element {
break;
}
- props.setConfig({
- ...props.config,
- fields: {
- ...props.config.fields,
- [props.gmid]: {
- ...props.config.fields[props.gmid],
- [props.field.key]: e.target.value
- }
- }
+ props.onChange({
+ ...props.values,
+ [props.field.key]: e.target.value
});
}
@@ -57,7 +48,7 @@ export function ModelField(props: ModelFieldProps): JSX.Element {
return (
& {
fields?: AiService.Field[];
+ values: Record;
+ onChange: (newValues: Record) => unknown;
};
export function ModelFields(props: ModelFieldsProps): JSX.Element | null {
@@ -108,7 +101,13 @@ export function ModelFields(props: ModelFieldsProps): JSX.Element | null {
return (
<>
{props.fields.map((field, idx) => (
-
+
))}
);
diff --git a/packages/jupyter-ai/src/components/settings/use-server-info.ts b/packages/jupyter-ai/src/components/settings/use-server-info.ts
new file mode 100644
index 000000000..87c54c474
--- /dev/null
+++ b/packages/jupyter-ai/src/components/settings/use-server-info.ts
@@ -0,0 +1,159 @@
+import { useState, useEffect, useMemo, useCallback } from 'react';
+import { AiService } from '../../handler';
+
+type ServerInfoProperties = {
+ config: AiService.DescribeConfigResponse;
+ lmProviders: AiService.ListProvidersResponse;
+ emProviders: AiService.ListProvidersResponse;
+ lmProvider: AiService.ListProvidersEntry | null;
+ emProvider: AiService.ListProvidersEntry | null;
+ lmLocalId: string;
+};
+
+type ServerInfoMethods = {
+ refetchAll: () => Promise;
+ refetchApiKeys: () => Promise;
+};
+
+export enum ServerInfoState {
+ /**
+ * Server info is being fetched.
+ */
+ Loading,
+ /**
+ * Unable to retrieve server info.
+ */
+ Error,
+ /**
+ * Server info was loaded successfully.
+ */
+ Ready
+}
+
+type ServerInfoLoading = { state: ServerInfoState.Loading };
+type ServerInfoError = {
+ state: ServerInfoState.Error;
+ error: string;
+};
+type ServerInfoReady = { state: ServerInfoState.Ready } & ServerInfoProperties &
+ ServerInfoMethods;
+
+type ServerInfo = ServerInfoLoading | ServerInfoError | ServerInfoReady;
+
+/**
+ * A hook that fetches the current configuration and provider lists from the
+ * server. Returns a `ServerInfo` object that includes methods.
+ */
+export function useServerInfo(): ServerInfo {
+ const [state, setState] = useState(ServerInfoState.Loading);
+ const [serverInfoProps, setServerInfoProps] =
+ useState();
+ const [error, setError] = useState('');
+
+ const fetchServerInfo = useCallback(async () => {
+ try {
+ const [config, lmProviders, emProviders] = await Promise.all([
+ AiService.getConfig(),
+ AiService.listLmProviders(),
+ AiService.listEmProviders()
+ ]);
+ const lmGid = config.model_provider_id;
+ const emGid = config.embeddings_provider_id;
+ const lmProvider =
+ lmGid === null ? null : getProvider(lmGid, lmProviders);
+ const emProvider =
+ emGid === null ? null : getProvider(emGid, emProviders);
+ const lmLocalId = lmGid === null ? '' : getLocalId(lmGid);
+ setServerInfoProps({
+ config,
+ lmProviders,
+ emProviders,
+ lmProvider,
+ emProvider,
+ lmLocalId
+ });
+
+ setState(ServerInfoState.Ready);
+ } catch (e) {
+ console.error(e);
+ if (e instanceof Error) {
+ setError(e.toString());
+ } else {
+ setError('An unknown error occurred.');
+ }
+ setState(ServerInfoState.Error);
+ }
+ }, []);
+
+ const refetchApiKeys = useCallback(async () => {
+ if (!serverInfoProps) {
+ // this should never happen.
+ return;
+ }
+
+ const config = await AiService.getConfig();
+ setServerInfoProps({
+ ...serverInfoProps,
+ config: {
+ ...serverInfoProps.config,
+ api_keys: config.api_keys,
+ last_read: config.last_read
+ }
+ });
+ }, [serverInfoProps]);
+
+ /**
+ * Effect: fetch server info on initial render
+ */
+ useEffect(() => {
+ fetchServerInfo();
+ }, []);
+
+ return useMemo(() => {
+ if (state === ServerInfoState.Loading) {
+ return { state };
+ }
+
+ if (state === ServerInfoState.Error || !serverInfoProps) {
+ return { state: ServerInfoState.Error, error };
+ }
+
+ return {
+ state,
+ ...serverInfoProps,
+ refetchAll: fetchServerInfo,
+ refetchApiKeys
+ };
+ }, [state, serverInfoProps, error, refetchApiKeys]);
+}
+
+function getProvider(
+ gid: string,
+ providers: AiService.ListProvidersResponse
+): AiService.ListProvidersEntry | null {
+ const providerId = getProviderId(gid);
+ const provider = providers.providers.find(p => p.id === providerId);
+ return provider ?? null;
+}
+
+function getProviderId(gid: string) {
+ if (!gid) {
+ return null;
+ }
+
+ const components = gid.split(':');
+ if (components.length < 2) {
+ return null;
+ }
+
+ return components[0];
+}
+
+function getLocalId(gid: string) {
+ const components = gid.split(':');
+ if (components.length < 2) {
+ return '';
+ }
+
+ return components[1];
+}
diff --git a/packages/jupyter-ai/src/components/settings/validator.ts b/packages/jupyter-ai/src/components/settings/validator.ts
new file mode 100644
index 000000000..3d420f5c1
--- /dev/null
+++ b/packages/jupyter-ai/src/components/settings/validator.ts
@@ -0,0 +1,8 @@
+import { AiService } from '../../handler';
+
+export class SettingsValidator {
+ constructor(
+ protected lmProviders: AiService.ListProvidersResponse,
+ protected emProviders: AiService.ListProvidersResponse
+ ) {}
+}
diff --git a/packages/jupyter-ai/src/handler.ts b/packages/jupyter-ai/src/handler.ts
index 9f18b40d1..ec91c1f3f 100644
--- a/packages/jupyter-ai/src/handler.ts
+++ b/packages/jupyter-ai/src/handler.ts
@@ -104,20 +104,26 @@ export namespace AiService {
messages: ChatMessage[];
};
- export type Config = {
+ export type DescribeConfigResponse = {
model_provider_id: string | null;
embeddings_provider_id: string | null;
- api_keys: Record;
- send_with_shift_enter: boolean | null;
+ api_keys: string[];
+ send_with_shift_enter: boolean;
fields: Record>;
+ last_read: number;
};
- export type GetConfigResponse = Config;
-
- export type UpdateConfigRequest = Config;
+ export type UpdateConfigRequest = {
+ model_provider_id?: string | null;
+ embeddings_provider_id?: string | null;
+ api_keys?: Record;
+ send_with_shift_enter?: boolean;
+ fields?: Record>;
+ last_read?: number;
+ };
- export async function getConfig(): Promise {
- return requestAPI('config');
+ export async function getConfig(): Promise {
+ return requestAPI('config');
}
export type EnvAuthStrategy = {
@@ -158,6 +164,7 @@ export namespace AiService {
name: string;
model_id_label?: string;
models: string[];
+ help?: string;
auth_strategy: AuthStrategy;
registry: boolean;
fields: Field[];
@@ -183,4 +190,10 @@ export namespace AiService {
body: JSON.stringify(config)
});
}
+
+ export async function deleteApiKey(keyName: string): Promise {
+ return requestAPI(`api_keys/${keyName}`, {
+ method: 'DELETE'
+ });
+ }
}
diff --git a/packages/jupyter-ai/style/chat-settings.css b/packages/jupyter-ai/style/chat-settings.css
index 9cb96539c..a8accd053 100644
--- a/packages/jupyter-ai/style/chat-settings.css
+++ b/packages/jupyter-ai/style/chat-settings.css
@@ -7,3 +7,14 @@
.jp-ai-ChatSettings-welcome {
color: var(--jp-ui-font-color1);
}
+
+/* Defer to browser defaults for links in model help */
+.jp-ai-ChatSettings-model-help a {
+ text-decoration: revert;
+ color: revert;
+}
+
+.jp-ai-ChatSettings-model-help a:hover {
+ text-decoration: revert;
+ color: revert;
+}
diff --git a/packages/jupyter-ai/tsconfig.test.json b/packages/jupyter-ai/tsconfig.test.json
new file mode 100644
index 000000000..063b5f10c
--- /dev/null
+++ b/packages/jupyter-ai/tsconfig.test.json
@@ -0,0 +1,6 @@
+{
+ "extends": "./tsconfig",
+ "compilerOptions": {
+ "noUnusedLocals": false
+ }
+}
diff --git a/yarn.lock b/yarn.lock
index 1ac0bbf4c..684a9238d 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -31,55 +31,55 @@ __metadata:
languageName: node
linkType: hard
-"@babel/code-frame@npm:^7.0.0, @babel/code-frame@npm:^7.12.13, @babel/code-frame@npm:^7.22.10, @babel/code-frame@npm:^7.22.5":
- version: 7.22.10
- resolution: "@babel/code-frame@npm:7.22.10"
+"@babel/code-frame@npm:^7.0.0, @babel/code-frame@npm:^7.12.13, @babel/code-frame@npm:^7.22.13":
+ version: 7.22.13
+ resolution: "@babel/code-frame@npm:7.22.13"
dependencies:
- "@babel/highlight": ^7.22.10
+ "@babel/highlight": ^7.22.13
chalk: ^2.4.2
- checksum: 89a06534ad19759da6203a71bad120b1d7b2ddc016c8e07d4c56b35dea25e7396c6da60a754e8532a86733092b131ae7f661dbe6ba5d165ea777555daa2ed3c9
+ checksum: 22e342c8077c8b77eeb11f554ecca2ba14153f707b85294fcf6070b6f6150aae88a7b7436dd88d8c9289970585f3fe5b9b941c5aa3aa26a6d5a8ef3f292da058
languageName: node
linkType: hard
-"@babel/compat-data@npm:^7.22.5, @babel/compat-data@npm:^7.22.6, @babel/compat-data@npm:^7.22.9":
+"@babel/compat-data@npm:^7.22.6, @babel/compat-data@npm:^7.22.9":
version: 7.22.9
resolution: "@babel/compat-data@npm:7.22.9"
checksum: bed77d9044ce948b4327b30dd0de0779fa9f3a7ed1f2d31638714ed00229fa71fc4d1617ae0eb1fad419338d3658d0e9a5a083297451e09e73e078d0347ff808
languageName: node
linkType: hard
-"@babel/core@npm:^7.0.0, @babel/core@npm:^7.1.0, @babel/core@npm:^7.10.2, @babel/core@npm:^7.11.6, @babel/core@npm:^7.12.3, @babel/core@npm:^7.7.5":
- version: 7.22.10
- resolution: "@babel/core@npm:7.22.10"
+"@babel/core@npm:^7.0.0, @babel/core@npm:^7.10.2, @babel/core@npm:^7.11.6, @babel/core@npm:^7.12.3":
+ version: 7.22.17
+ resolution: "@babel/core@npm:7.22.17"
dependencies:
"@ampproject/remapping": ^2.2.0
- "@babel/code-frame": ^7.22.10
- "@babel/generator": ^7.22.10
- "@babel/helper-compilation-targets": ^7.22.10
- "@babel/helper-module-transforms": ^7.22.9
- "@babel/helpers": ^7.22.10
- "@babel/parser": ^7.22.10
- "@babel/template": ^7.22.5
- "@babel/traverse": ^7.22.10
- "@babel/types": ^7.22.10
+ "@babel/code-frame": ^7.22.13
+ "@babel/generator": ^7.22.15
+ "@babel/helper-compilation-targets": ^7.22.15
+ "@babel/helper-module-transforms": ^7.22.17
+ "@babel/helpers": ^7.22.15
+ "@babel/parser": ^7.22.16
+ "@babel/template": ^7.22.15
+ "@babel/traverse": ^7.22.17
+ "@babel/types": ^7.22.17
convert-source-map: ^1.7.0
debug: ^4.1.0
gensync: ^1.0.0-beta.2
- json5: ^2.2.2
+ json5: ^2.2.3
semver: ^6.3.1
- checksum: cc4efa09209fe1f733cf512e9e4bb50870b191ab2dee8014e34cd6e731f204e48476cc53b4bbd0825d4d342304d577ae43ff5fd8ab3896080673c343321acb32
+ checksum: 355216a342d1b3952d7c040dd4c99ecef6b3501ba99a713703c1fec1ae73bc92a48a0c1234562bdbb4fd334b2e452f5a6c3bb282f0e613fa89e1518c91d1aea1
languageName: node
linkType: hard
-"@babel/generator@npm:^7.22.10, @babel/generator@npm:^7.7.2":
- version: 7.22.10
- resolution: "@babel/generator@npm:7.22.10"
+"@babel/generator@npm:^7.22.15, @babel/generator@npm:^7.7.2":
+ version: 7.22.15
+ resolution: "@babel/generator@npm:7.22.15"
dependencies:
- "@babel/types": ^7.22.10
+ "@babel/types": ^7.22.15
"@jridgewell/gen-mapping": ^0.3.2
"@jridgewell/trace-mapping": ^0.3.17
jsesc: ^2.5.1
- checksum: 59a79730abdff9070692834bd3af179e7a9413fa2ff7f83dff3eb888765aeaeb2bfc7b0238a49613ed56e1af05956eff303cc139f2407eda8df974813e486074
+ checksum: 5b2a3ccdc3634f6ea86e0a442722bcd430238369432d31f15b428a4ee8013c2f4f917b5b135bf4fc1d0a3e2f87f10fd4ce5d07955ecc2d3b9400a05c2a481374
languageName: node
linkType: hard
@@ -93,35 +93,35 @@ __metadata:
linkType: hard
"@babel/helper-builder-binary-assignment-operator-visitor@npm:^7.22.5":
- version: 7.22.10
- resolution: "@babel/helper-builder-binary-assignment-operator-visitor@npm:7.22.10"
+ version: 7.22.15
+ resolution: "@babel/helper-builder-binary-assignment-operator-visitor@npm:7.22.15"
dependencies:
- "@babel/types": ^7.22.10
- checksum: 6de4a1f30e6244f9a1efdfcbe89df39923df3d165be606da5ad11319f8a11c12c72c60d9dc5fb696363281e2d6f741444c1af51f525fc7cf1d2a90fe23370bd9
+ "@babel/types": ^7.22.15
+ checksum: 639c697a1c729f9fafa2dd4c9af2e18568190299b5907bd4c2d0bc818fcbd1e83ffeecc2af24327a7faa7ac4c34edd9d7940510a5e66296c19bad17001cf5c7a
languageName: node
linkType: hard
-"@babel/helper-compilation-targets@npm:^7.22.10, @babel/helper-compilation-targets@npm:^7.22.5, @babel/helper-compilation-targets@npm:^7.22.6":
- version: 7.22.10
- resolution: "@babel/helper-compilation-targets@npm:7.22.10"
+"@babel/helper-compilation-targets@npm:^7.22.15, @babel/helper-compilation-targets@npm:^7.22.5, @babel/helper-compilation-targets@npm:^7.22.6":
+ version: 7.22.15
+ resolution: "@babel/helper-compilation-targets@npm:7.22.15"
dependencies:
"@babel/compat-data": ^7.22.9
- "@babel/helper-validator-option": ^7.22.5
+ "@babel/helper-validator-option": ^7.22.15
browserslist: ^4.21.9
lru-cache: ^5.1.1
semver: ^6.3.1
- checksum: f6f1896816392bcff671bbe6e277307729aee53befb4a66ea126e2a91eda78d819a70d06fa384c74ef46c1595544b94dca50bef6c78438d9ffd31776dafbd435
+ checksum: ce85196769e091ae54dd39e4a80c2a9df1793da8588e335c383d536d54f06baf648d0a08fc873044f226398c4ded15c4ae9120ee18e7dfd7c639a68e3cdc9980
languageName: node
linkType: hard
-"@babel/helper-create-class-features-plugin@npm:^7.22.5":
- version: 7.22.10
- resolution: "@babel/helper-create-class-features-plugin@npm:7.22.10"
+"@babel/helper-create-class-features-plugin@npm:^7.22.11, @babel/helper-create-class-features-plugin@npm:^7.22.5":
+ version: 7.22.15
+ resolution: "@babel/helper-create-class-features-plugin@npm:7.22.15"
dependencies:
"@babel/helper-annotate-as-pure": ^7.22.5
"@babel/helper-environment-visitor": ^7.22.5
"@babel/helper-function-name": ^7.22.5
- "@babel/helper-member-expression-to-functions": ^7.22.5
+ "@babel/helper-member-expression-to-functions": ^7.22.15
"@babel/helper-optimise-call-expression": ^7.22.5
"@babel/helper-replace-supers": ^7.22.9
"@babel/helper-skip-transparent-expression-wrappers": ^7.22.5
@@ -129,20 +129,20 @@ __metadata:
semver: ^6.3.1
peerDependencies:
"@babel/core": ^7.0.0
- checksum: 9683edbf73889abce183b06eac29524448aaab1dba7bdccdd6c26cf03e5ade3903b581b4d681da88fbff824fa117b840cc945bebf7db3c1f8c745f3c5a8a2595
+ checksum: 52c500d8d164abb3a360b1b7c4b8fff77bc4a5920d3a2b41ae6e1d30617b0dc0b972c1f5db35b1752007e04a748908b4a99bc872b73549ae837e87dcdde005a3
languageName: node
linkType: hard
"@babel/helper-create-regexp-features-plugin@npm:^7.18.6, @babel/helper-create-regexp-features-plugin@npm:^7.22.5":
- version: 7.22.9
- resolution: "@babel/helper-create-regexp-features-plugin@npm:7.22.9"
+ version: 7.22.15
+ resolution: "@babel/helper-create-regexp-features-plugin@npm:7.22.15"
dependencies:
"@babel/helper-annotate-as-pure": ^7.22.5
regexpu-core: ^5.3.1
semver: ^6.3.1
peerDependencies:
"@babel/core": ^7.0.0
- checksum: 87cb48a7ee898ab205374274364c3adc70b87b08c7bd07f51019ae4562c0170d7148e654d591f825dee14b5fe11666a0e7966872dfdbfa0d1b94b861ecf0e4e1
+ checksum: 0243b8d4854f1dc8861b1029a46d3f6393ad72f366a5a08e36a4648aa682044f06da4c6e87a456260e1e1b33c999f898ba591a0760842c1387bcc93fbf2151a6
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linkType: hard
@@ -187,36 +187,36 @@ __metadata:
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linkType: hard
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- resolution: "@babel/helper-member-expression-to-functions@npm:7.22.5"
+"@babel/helper-member-expression-to-functions@npm:^7.22.15, @babel/helper-member-expression-to-functions@npm:^7.22.5":
+ version: 7.22.15
+ resolution: "@babel/helper-member-expression-to-functions@npm:7.22.15"
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