v0.0.8 Documentation Updates (#55)
* Docker Compose Environment override fix * Fixes DEV-301 and Fixes DEV-298 * Restructure Repository to focus on Server * Fixes DEV-300 * Fixes DEV-298 * Fix Dead links in mintlify docs * Fix directory path * Add health check and database dependency to compose * Mirascope deriver (#56) * ready for testing * delete prompts folder, mirascope colocation ftw * Fix mirascope integration errors and streaming endpoint --------- Co-authored-by: vintro <vince@plasticlabs.ai> * Fix directory path --------- Co-authored-by: vintro <vince@plasticlabs.ai>
This commit is contained in:
Vineeth Voruganti
GitHub
parent
0eba9db235
commit
bc6afccf1a
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@ -0,0 +1,9 @@
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fly.toml
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.env
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.env.template
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*.md
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docs/**
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.DS_Store
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supabase/**
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LICENSE
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__pycache__
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@ -1,50 +0,0 @@
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name: Run Coverage
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on: [pull_request]
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jobs:
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test:
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permissions:
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pull-requests: write
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python 3.10
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uses: actions/setup-python@v3
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with:
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python-version: "3.10"
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- name: Install poetry
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run: |
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pip install poetry
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- name: Start Database
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run: |
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cd api/local
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docker compose up --wait
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cd ../..
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- name: Start Server
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run: |
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cd api
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poetry install --no-root
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poetry run uvicorn src.main:app &
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sleep 5
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cd ..
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env:
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DATABASE_TYPE: postgres
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CONNECTION_URI: postgresql+psycopg://testuser:testpwd@localhost:5432/honcho
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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- name: Run Tests
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run: |
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cd sdk
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poetry install
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poetry run coverage run -m pytest
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poetry run coverage report --format=markdown > coverage.md
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echo -e "\n---\n# Docstring Coverage\n\`\`\`" >> coverage.md
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poetry run interrogate -v honcho >> coverage.md
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echo -e "\`\`\`" >> coverage.md
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cd ..
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- name: Add Coverage PR Comment
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uses: marocchino/sticky-pull-request-comment@v2
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with:
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recreate: true
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path: sdk/coverage.md
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- name: Stop Server
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run: |
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kill $(jobs -p) || true
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@ -2,6 +2,10 @@ api/**/*.db
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api/data
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api/docker-compose.yml
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*.db
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data
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docker-compose.yml
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# Byte-compiled / optimized / DLL files
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__pycache__/
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|
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@ -1,20 +1,9 @@
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{
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"folders": [
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{
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"path": "../sdk"
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},
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{
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"path": "../api"
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},
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{
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"path": "../example/cli"
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},
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{
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"path": "../example/discord"
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},
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{
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"path": ".."
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}
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],
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"settings": {}
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"settings": {
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}
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}
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@ -1,8 +1,4 @@
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{
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"python.analysis.typeCheckingMode": "basic",
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"files.exclude": {
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"sdk": true,
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"api": true,
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"example": true
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}
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"files.exclude": {}
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}
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|
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@ -11,12 +11,14 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
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* Documentation to OpenAPI
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* Bearer token auth to OpenAPI routes
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* Get by ID routes for users and collections
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* [NodeJS](https://github.com/plastic-labs/honcho-node) SDK support
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### Changed
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* Authentication Middleware now implemented using built-in FastAPI Security
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module
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* Get by name routes for users and collections now include "name" in slug
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* Python SDK moved to separate [respository](https://github.com/plastic-labs/honcho-python)
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### Fixed
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@ -0,0 +1,139 @@
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# Contributing
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This project is completely open source and welcomes any and all open source
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contributions. The workflow for contributing is to make a fork of the
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repository. You can claim an issue in the issues tab or start a new thread to
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indicate a feature or bug fix you are working on.
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Once you have finished your contribution make a PR , and it will be reviewed by
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a project manager. Feel free to join us in our
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[discord](http://discord.gg/plasticlabs) to discuss your changes or get help.
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Your changes will undergo a period of testing and discussion before finally
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being entered into the `main` branch and being staged for release
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## Local Development
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Below is a guide on setting up a local environment for running the Honcho
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Server.
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> This guide was made using a M1 Macbook Pro. For any compatibility issues
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> on different platforms please raise an Issue.
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### Prerequisites and Dependencies
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Honcho is developed using [python](https://www.python.org/) and [poetry](https://python-poetry.org/).
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The minimum python version is `3.9`
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The minimum poetry version is `1.4.1`
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|
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### Setup
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|
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Once the dependencies are installed on the system run the following steps to get
|
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the local project setup.
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1. Clone the repository
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```bash
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git clone https://github.com/plastic-labs/honcho.git
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```
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2. Enter the repository and install the python dependencies
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We recommend using a virtual environment to isolate the dependencies for Honcho
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from other projects on the same system. With `poetry` a virtual environment can
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be generated using the `poetry shell` command. Once the virtual environment is
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created and activated install the dependencies with `poetry install`
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Putting this together:
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```bash
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cd honcho
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poetry shell
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poetry install
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```
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|
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3. Set up a database
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Honcho utilized [Postgres](https://www.postgresql.org/) for its database with
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pgvector. An easy way to get started with a postgresdb is to create a project
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with [Supabase](https://supabase.com/)
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|
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A `docker-compose` template is also available with a database configuration
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available.
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4. Edit the environment variables.
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|
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Honcho uses a `.env` file for managing runtime environment variables. A
|
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`.env.template` file is included for convenience. Several of the configurations
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are not required and are only necessary for additional logging, monitoring, and
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security.
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Below are the required configurations
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|
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```env
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CONNECTION_URI= # Connection uri for a postgres database
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OPENAI_API_KEY= # API Key for OpenAI used for insights
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```
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> Note that the `CONNECTION_URI` must have the prefix `postgresql+psycopg` to
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> function properly. This is a requirement brought by `sqlalchemy`
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|
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The template has the additional functionality disabled by default. To ensure
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||||
that they are disabled you can verify the following environment variables are
|
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set to false.
|
||||
|
||||
```env
|
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USE_AUTH_SERVICE=false
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OPENTELEMETRY_ENABLED=false
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SENTRY_ENABLED=false
|
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```
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|
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5. Launch the API
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|
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With the dependencies installed, a database setup and enabled with `pgvector`,
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and the environment variables setup you can now launch a local instance of
|
||||
Honcho. The following command will launch the storage API for Honcho
|
||||
|
||||
```bash
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python -m uvicorn src.main:app --reload --port 8000
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```
|
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This is a development server that will reload whenever code is changed. When
|
||||
first launching the API with a connection the database it will provision the
|
||||
necessary tables for Honcho to operate.
|
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|
||||
### Docker
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||||
|
||||
As mentioned earlier a `docker-compose` template is included for running Honcho.
|
||||
As an alternative to running Honcho locally it can also be run with the compose
|
||||
template.
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||||
|
||||
Copy the template and update the appropriate environment variables before
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||||
launching the service.
|
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|
||||
```bash
|
||||
cd honcho/api
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||||
cp docker-compose.yml.example docker-compose.yml
|
||||
[ update the file with openai key and other wanted environment variables ]
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||||
docker compose up
|
||||
```
|
||||
|
||||
### Deploy on Fly
|
||||
|
||||
The API can also be deployed on fly.io. Follow the [Fly.io
|
||||
Docs](https://fly.io/docs/getting-started/) to setup your environment and the
|
||||
`flyctl`.
|
||||
|
||||
A sample `fly.toml` is included for convenience.
|
||||
|
||||
> Note. The fly.toml does not include launching a Postgres database. This must
|
||||
> be configured separately
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|
||||
Once `flyctl` is set up use the following commands to launch the application:
|
||||
|
||||
```bash
|
||||
cd honcho/api
|
||||
flyctl launch --no-deploy # Follow the prompts and edit as you see fit
|
||||
cat .env | flyctl secrets import # Load in your secrets
|
||||
flyctl deploy # Deploy with appropriate environment variables
|
||||
```
|
||||
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||||
234
README.md
234
README.md
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@ -1,183 +1,161 @@
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|||
# 🫡 Honcho
|
||||
|
||||
[](https://discord.gg/plasticlabs)
|
||||
[](https://arxiv.org/abs/2310.06983)
|
||||
|
||||
|
||||
[](https://twitter.com/plastic_labs)
|
||||
[](https://pypi.org/project/honcho-ai/)
|
||||
[](https://npmjs.org/package/honcho-ai)
|
||||
|
||||
|
||||
Honcho is a platform for making AI agents and LLM powered applications that are personalized
|
||||
to their end users.
|
||||
to their end users. It leverages the inherent theory-of-mind capabilities of
|
||||
LLMs to cohere to user psychology over time.
|
||||
|
||||
Read about the motivation of this project [here](https://blog.plasticlabs.ai/blog/A-Simple-Honcho-Primer).
|
||||
Read about the the project [here](https://blog.plasticlabs.ai/blog/A-Simple-Honcho-Primer).
|
||||
|
||||
Read the user documenation [here](https://docs.honcho.dev)
|
||||
Read the user documentation [here](https://docs.honcho.dev)
|
||||
|
||||
## Table of Contents
|
||||
|
||||
- [Project Structure](#project-structure)
|
||||
- [Usage](#usage)
|
||||
- [API](#api)
|
||||
- [Docker](#docker)
|
||||
- [Manually](#manually)
|
||||
- [Deploying on Fly.io](#deploy-on-fly)
|
||||
- [Client SDK](#client-sdk)
|
||||
- [Use Locally](#use-locally)
|
||||
- [Contributing](#contributing)
|
||||
- [Architecture](#architecture)
|
||||
- [Storage](#storage)
|
||||
- [Insights](#insights)
|
||||
- [License](#license)
|
||||
|
||||
## Project Structure
|
||||
|
||||
The Honcho repo is a monorepo containing the server/API that manages database
|
||||
interactions and storing data about an application's state along with the python
|
||||
sdk for interacting with the API.
|
||||
The Honcho project is split between several repositories with this one hosting
|
||||
the core service logic. This is implemented as a FastAPI server/API to store
|
||||
data about an application's state.
|
||||
|
||||
The folders are structured as follows:
|
||||
There are also client-sdks that are created using
|
||||
[Stainless](https://www.stainlessapi.com/). Currently, there is a [Python](https://github.com/plastic-labs/honcho-python) and
|
||||
[TypeScript/JavaScript](https://github.com/plastic-labs/honcho-node) SDK available.
|
||||
|
||||
- `api/` - contains a FastAPI application that provides user context management
|
||||
routes
|
||||
- `sdk/` - contains the code for the python sdk and package hosted on PyPI
|
||||
- `example/` - contains example code for different use cases of honcho
|
||||
|
||||
This project utilizes [poetry](https://python-poetry.org/) for dependency
|
||||
management
|
||||
|
||||
A separate changelog is managed for the sdk and api in their respective
|
||||
directories.
|
||||
Examples on how to use the SDK are located within each SDK repository. There is
|
||||
also SDK example usage available in the [API Reference](https://docs.honcho.dev/api-reference/introduction)
|
||||
along with various guides.
|
||||
|
||||
## Usage
|
||||
|
||||
### API
|
||||
Currently, there is a demo server of Honcho running at https://demo.honcho.dev.
|
||||
This server is not production ready and does not have an reliability guarantees.
|
||||
It is purely there for evaluation purposes.
|
||||
|
||||
#### Docker
|
||||
A private beta for a tenant isolated production ready version of Honcho is
|
||||
currently underway. If interested fill out this
|
||||
[typeform](https://plasticlabs.typeform.com/honchobeta) and the Plastic Labs
|
||||
team will reach out to onboard users.
|
||||
|
||||
The API can be run using docker-compose. The `docker-compose.yml.example` file can be copied to `docker-compose.yml` and the environment variables can be set in the `.env` file.
|
||||
Additionally, Honcho can be self-hosted for testing and evaluation purposes. See
|
||||
[Contributing](./CONTRIBUTING.md) for more details on how to setup a local
|
||||
version of Honcho.
|
||||
|
||||
```bash
|
||||
cd honcho/api
|
||||
cp docker-compose.yml.example docker-compose.yml
|
||||
[ update the file with openai key and other wanted environment variables ]
|
||||
docker compose up -d
|
||||
## Architecture
|
||||
|
||||
The functionality of Honcho can be split into two different services: Storage
|
||||
and Insights.
|
||||
|
||||
### Storage
|
||||
|
||||
Honcho contains several different primitives used for storing application and
|
||||
user data. This data is used for managing conversations, modeling user
|
||||
psychology, building RAG applications, and more.
|
||||
|
||||
The philosophy behind Honcho is to provide a platform that is user-centric and
|
||||
easily scalable from a single user to a million.
|
||||
|
||||
Below is a mapping of the different primitives.
|
||||
|
||||
```
|
||||
Apps
|
||||
└── Users
|
||||
├── Sessions
|
||||
│ ├── Messages
|
||||
│ └── Metamessages
|
||||
└── Collections
|
||||
└── Documents
|
||||
```
|
||||
|
||||
#### Manually
|
||||
Users familiar with APIs such as the OpenAI Assistants API will be familiar with
|
||||
much of the mapping here.
|
||||
|
||||
#### Docker
|
||||
#### Apps
|
||||
|
||||
The API can be run using docker-compose. The `docker-compose.yml.example` file can be copied to `docker-compose.yml` and the environment variables can be set in the `.env` file.
|
||||
This is the top level construct of Honcho. Developers can register different
|
||||
`Apps` for different assistants, agents, AI enabled features, etc. It is a way to
|
||||
isolation data between use cases.
|
||||
|
||||
```bash
|
||||
cd honcho/api
|
||||
cp docker-compose.yml.example docker-compose.yml
|
||||
[ update the file with openai key and other wanted environment variables ]
|
||||
docker compose up -d
|
||||
```
|
||||
**Users**
|
||||
|
||||
#### Manually
|
||||
Within an `App` everything revolves around a `User`. the `User` object very
|
||||
literally represent a user of an application.
|
||||
|
||||
The API can be run either by installing the necessary dependencies and then
|
||||
specifying the appropriate environment variables.
|
||||
#### Sessions
|
||||
|
||||
1. Create a virtualenv and install the API's dependencies
|
||||
The `Session` object represents a set of interactions a `User` has with an
|
||||
`App`. Other application may refer to this as a thread or conversation.
|
||||
|
||||
```bash
|
||||
cd honcho/api/ # change to the api directory
|
||||
poetry shell # Activate virutal environment
|
||||
poetry install # install dependencies
|
||||
```
|
||||
**Messages**
|
||||
|
||||
2. Copy the `.env.template` file and specify the type of database and
|
||||
connection_uri. For testing sqlite is fine. The below example uses an
|
||||
in-memory sqlite database.
|
||||
in-memory sqlite database.
|
||||
The `Message` represents an atomic interaction of a `User` in a `Session`.
|
||||
`Message`s are labed as either a `User` or AI message.
|
||||
|
||||
> Honcho has been tested with Postgresql and PGVector
|
||||
#### Metamessages
|
||||
|
||||
```env
|
||||
DATABASE_TYPE=postgres
|
||||
CONNECTION_URI=postgresql://testuser:testpwd@localhost:5432/honcho
|
||||
```
|
||||
A `Metamessage` is very similar to a `Message` with different use case. They are
|
||||
meant to be used to store intermediate inference from AI assistants or other
|
||||
derived information that is separate from the main `User` `App` interaction
|
||||
loop. For complicated prompting architectures like [metacognitive prompting](https://arxiv.org/abs/2310.06983)
|
||||
metamessages can store thought and reflection steps along with having developer
|
||||
information such as logs.
|
||||
|
||||
3. launch a postgresd with pgvector enabled with docker-compose
|
||||
Each `Metamessage` is associated with a `Message`. The convention we recommend
|
||||
is to attach a `Metamessage` to the `Message` it was derived from or based on.
|
||||
|
||||
```bash
|
||||
cd honcho/api/local
|
||||
docker-compose up -d
|
||||
```
|
||||
#### Collections
|
||||
|
||||
4. Run the API via uvicorn
|
||||
At a high level a `Collection` is a named group of `Documents`. Developers
|
||||
familiar with RAG based applications will be familar with these. `Collection`s
|
||||
store vector embedded data that developers and agents can retrieve against using
|
||||
functions like cosine similarity.
|
||||
|
||||
```bash
|
||||
cd honcho/api # change to the api directory
|
||||
poetry shell # Activate virtual environment if not already enabled
|
||||
python -m uvicorn src.main:app --reload
|
||||
```
|
||||
Developers can create multiple `Collection`s for a user for different purposes
|
||||
such as modeling different personas, adding third-party data such as emails and
|
||||
PDF files, and more.
|
||||
|
||||
#### Deploy on Fly
|
||||
#### Documents
|
||||
|
||||
The API can also be deployed on fly.io. Follow the [Fly.io
|
||||
Docs](https://fly.io/docs/getting-started/) to setup your environment and the
|
||||
`flyctl`.
|
||||
`flyctl`.
|
||||
As stated before a `Document` is vector embedded data stored in a `Collection`.
|
||||
|
||||
Once `flyctl` is set up use the following commands to launch the application:
|
||||
### Insights
|
||||
|
||||
```bash
|
||||
cd honcho/api
|
||||
flyctl launch --no-deploy # Follow the prompts and edit as you see fit
|
||||
cat .env | flyctl secrets import # Load in your secrets
|
||||
flyctl deploy # Deploy with appropriate environment variables
|
||||
```
|
||||
The Insight functionality of Honcho is built on top of the Storage service. As
|
||||
`Messages` and `Sessions` are created for a `User`, Honcho will asynchronously
|
||||
reason about the `User`'s psychology to derive facts about them and store them
|
||||
in a reserved `Collection`.
|
||||
|
||||
### Client SDK
|
||||
To read more about how this works read our [Research Paper](https://arxiv.org/abs/2310.06983)
|
||||
|
||||
Install the honcho client sdk from a python project with the following command:
|
||||
Developers can then leverage these insights in their application to better
|
||||
server `User` needs. The primary interface for using these insights is through
|
||||
the [Dialectic Endpoint](https://blog.plasticlabs.ai/blog/Introducing-Honcho's-Dialectic-API).
|
||||
|
||||
```bash
|
||||
pip install honcho-ai
|
||||
```
|
||||
This is a regular API endpoint that takes natural language requests to get data
|
||||
about the `User`. This robust design let's us use this single endpoint for all
|
||||
cases where extra personalization or information about the `User` is necessary.
|
||||
|
||||
alternatively if you are using poetry run:
|
||||
A developer's application can treat Honcho as an oracle to the `User` and
|
||||
consult with it when necessary. Some examples of how to leverage the Dialectic
|
||||
API include:
|
||||
|
||||
```bash
|
||||
poetry add honcho-ai
|
||||
```
|
||||
|
||||
checkout the [SDK Reference](https://api.python.honcho.dev) for a detailed
|
||||
look at the different methods and how to use them.
|
||||
|
||||
Also, check out the[example folder](./example/) for examples of how to use the sdk
|
||||
checkout the [SDK Reference](https://api.python.honcho.dev) for a detailed
|
||||
look at the different methods and how to use them.
|
||||
|
||||
Also, check out the[example folder](./example/) for examples of how to use the sdk
|
||||
|
||||
#### Use Locally
|
||||
|
||||
For local development of the sdk you can add the local directory as a package
|
||||
using poetry with the following commands.
|
||||
|
||||
```bash
|
||||
poetry add --editable ./{path_to_honcho}/honcho/sdk
|
||||
```
|
||||
|
||||
See more information [here](https://python-poetry.org/docs/cli/#add)
|
||||
|
||||
## Contributing
|
||||
|
||||
This project is completely open source and welcomes any and all open source
|
||||
contributions. The workflow for contributing is to make a fork of the
|
||||
repository. You can claim an issue in the issues tab or start a new thread to
|
||||
indicate a feature or bug fix you are working on.
|
||||
indicate a feature or bug fix you are working on.
|
||||
|
||||
Once you have finished your contribution make a PR pointed at the `staging`
|
||||
branch, and it will be reviewed by a project manager. Feel free to join us in
|
||||
our [discord](http://discord.gg/plasticlabs) to discuss your changes or get
|
||||
help.
|
||||
help.
|
||||
|
||||
Once your changes are accepted and merged into staging they will undergo a
|
||||
period of live testing before entering the upstream into `main`
|
||||
- Asking Honcho for a theory-of-mind insight about the `User`
|
||||
- Asking Honcho to hydrate a prompt with data about the `User`s behavior
|
||||
- Asking Honcho for a 2nd opinion or approach about how to respond to the User
|
||||
|
||||
## License
|
||||
|
||||
|
|
|
|||
|
|
@ -1 +0,0 @@
|
|||
fly.toml
|
||||
|
|
@ -1,3 +0,0 @@
|
|||
{
|
||||
"python.analysis.typeCheckingMode": "basic"
|
||||
}
|
||||
|
|
@ -1,14 +0,0 @@
|
|||
services:
|
||||
db:
|
||||
hostname: db
|
||||
image: ankane/pgvector
|
||||
ports:
|
||||
- 5432:5432
|
||||
restart: always
|
||||
environment:
|
||||
- POSTGRES_DB=honcho
|
||||
- POSTGRES_USER=testuser
|
||||
- POSTGRES_PASSWORD=testpwd
|
||||
- POSTGRES_HOST_AUTH_METHOD=trust
|
||||
volumes:
|
||||
- ./init.sql:/docker-entrypoint-initdb.d/init.sql
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,11 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["existing_facts", "facts"]
|
||||
template: >
|
||||
Your job is to compare the following two lists and keep only unique items:
|
||||
|
||||
Old: ```{existing_facts}```
|
||||
|
||||
New: ```{facts}```
|
||||
|
||||
Remove redundant information from the new list and output the remaining facts as a numbered list. If there's nothing to remove (i.e. the statements are sufficiently different), print "None".
|
||||
|
|
@ -1,10 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["chat_history", "user_input"]
|
||||
template: >
|
||||
You are tasked with deriving discrete facts about the user based on their input. The goal is to only extract absolute facts from the message, do not make inferences beyond the text provided.
|
||||
|
||||
chat history: ```{chat_history}```
|
||||
user input: ```{user_input}```
|
||||
|
||||
Output the facts as a numbered list.
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
|
||||
_type: prompt
|
||||
input_variables:
|
||||
["agent_input", "retrieved_facts"]
|
||||
template: >
|
||||
You are tasked with responding to the query based on the context provided.
|
||||
---
|
||||
query: {agent_input}
|
||||
context: {retrieved_facts}
|
||||
---
|
||||
Provide a brief, matter-of-fact, and appropriate response to the query based on the context provided. If the context provided doesn't aid in addressing the query, return None.
|
||||
|
|
@ -4,6 +4,9 @@ services:
|
|||
build:
|
||||
context: .
|
||||
dockerfile: Dockerfile
|
||||
depends_on:
|
||||
database:
|
||||
condition: service_healthy
|
||||
ports:
|
||||
- 8000:8000
|
||||
volumes:
|
||||
|
|
@ -38,5 +41,10 @@ services:
|
|||
- POSTGRES_HOST_AUTH_METHOD=trust
|
||||
- PGDATA=/var/lib/postgresql/data/pgdata
|
||||
volumes:
|
||||
- ./local/init.sql:/docker-entrypoint-initdb.d/init.sql
|
||||
- ./init.sql:/docker-entrypoint-initdb.d/init.sql
|
||||
- ./data:/var/lib/postgresql/data/
|
||||
healthcheck:
|
||||
test: ["CMD-SHELL", "pg_isready -U testuser -d honcho"]
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 5
|
||||
|
|
@ -1,18 +0,0 @@
|
|||
---
|
||||
title: 'Contributing'
|
||||
description: 'Guidelines for contributing to the Honcho Project'
|
||||
icon: 'handshake-angle'
|
||||
---
|
||||
|
||||
This project is completely open source and welcomes any and all open source
|
||||
contributions. The workflow for contributing is to make a fork of the
|
||||
repository. You can claim an issue in the issues tab or start a new thread to
|
||||
indicate a feature or bug fix you are working on.
|
||||
|
||||
Once you have finished your contribution make a PR pointed at the `staging`
|
||||
branch, and it will be reviewed by a project manager. Feel free to join us in
|
||||
our [discord](http://discord.gg/plasticlabs) to discuss your changes or get
|
||||
help.
|
||||
|
||||
Once your changes are accepted and merged into staging they will undergo a
|
||||
period of live testing before entering the upstream into `main`
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
---
|
||||
openapi: get /apps/{app_id}/users/{user_id}/collections/{collection_id}
|
||||
---
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
---
|
||||
openapi: get /apps/{app_id}/users/{user_id}/sessions/{session_id}/chat/stream
|
||||
---
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
---
|
||||
openapi: get /apps/{app_id}/users/{user_id}
|
||||
---
|
||||
|
|
@ -2,11 +2,6 @@
|
|||
title: 'Introduction'
|
||||
---
|
||||
|
||||
<Note>
|
||||
If you're using the Python SDK you shouldn't need to interface directly with the
|
||||
API. The SDK reference may be more helpful
|
||||
</Note>
|
||||
|
||||
This section of the documentation goes over all of the different API endpoints available in the Honcho
|
||||
Server. They largely map to CRUD operations for each of the core primitives. For information about the core
|
||||
primitives consult [Architecture](/getting-started/Architecture)
|
||||
|
|
|
|||
|
|
@ -7,13 +7,18 @@ icon: 'rocket'
|
|||
|
||||
If you're happy with how things are working locally, deploying your Honcho instance is a breeze with [Fly](https://fly.io). Follow the [Fly.io Docs](https://fly.io/docs/getting-started/) to setup your environment and the `flyctl`.
|
||||
|
||||
A sample `fly.toml` is included for convenience in the repository.
|
||||
|
||||
<Warning>Note. The fly.toml does not include launching a Postgres database. This must
|
||||
be configured separately</Warning>
|
||||
|
||||
Once `flyctl` is set up use the the following commands to launch the application:
|
||||
|
||||
```bash
|
||||
cd honcho/api
|
||||
cd honcho
|
||||
flyctl launch --no-deploy # Follow the prompts and edit as you see fit
|
||||
cat .env | flyctl secrets import # Load in your secrets
|
||||
flyctl deploy # Deploy with appropriate environment variables
|
||||
```
|
||||
|
||||
Then you should have a new URL to initialize your Honcho client with! Consider your user context managed 🪄.`
|
||||
Then you should have a new URL to initialize your Honcho client with! Consider your user context managed 🪄.`
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
---
|
||||
title: 'Guidelines'
|
||||
description: 'Guidelines for contributing to the Honcho Project'
|
||||
icon: 'handshake-angle'
|
||||
---
|
||||
|
||||
This project is completely open source and welcomes any and all open source
|
||||
contributions. The workflow for contributing is to make a fork of the
|
||||
repository. You can claim an issue in the issues tab or start a new thread to
|
||||
indicate a feature or bug fix you are working on.
|
||||
|
||||
Once you have finished your contribution make a PR , and it will be reviewed by
|
||||
a project manager. Feel free to join us in our
|
||||
[discord](http://discord.gg/plasticlabs) to discuss your changes or get help.
|
||||
|
||||
Your changes will undergo a period of testing and discussion before finally
|
||||
being entered into the `main` branch and being staged for release
|
||||
|
|
@ -0,0 +1,106 @@
|
|||
---
|
||||
title: 'Self-Hosting Honcho'
|
||||
sidebarTitle: 'Self-Hosting'
|
||||
description: 'Running a local version of the Honcho API Server'
|
||||
icon: 'cloud'
|
||||
---
|
||||
|
||||
> This guide was made using a M1 Macbook Pro. For any compatibility issues
|
||||
> on different platforms please raise an Issue.
|
||||
|
||||
### Prerequisites and Dependencies
|
||||
|
||||
Honcho is developed using [python](https://www.python.org/) and [poetry](https://python-poetry.org/).
|
||||
|
||||
The minimum python version is `3.9`
|
||||
The minimum poetry version is `1.4.1`
|
||||
|
||||
### Setup
|
||||
|
||||
Once the dependencies are installed on the system run the following steps to get
|
||||
the local project setup.
|
||||
|
||||
1. Clone the repository
|
||||
|
||||
```bash
|
||||
git clone https://github.com/plastic-labs/honcho.git
|
||||
```
|
||||
|
||||
2. Enter the repository and install the python dependencies
|
||||
|
||||
We recommend using a virtual environment to isolate the dependencies for Honcho
|
||||
from other projects on the same system. With `poetry` a virtual environment can
|
||||
be generated using the `poetry shell` command. Once the virtual environment is
|
||||
created and activated install the dependencies with `poetry install`
|
||||
|
||||
Putting this together:
|
||||
|
||||
```bash
|
||||
cd honcho
|
||||
poetry shell
|
||||
poetry install
|
||||
```
|
||||
|
||||
3. Set up a database
|
||||
|
||||
Honcho utilized [Postgres](https://www.postgresql.org/) for its database with
|
||||
pgvector. An easy way to get started with a postgresdb is to create a project
|
||||
with [Supabase](https://supabase.com/)
|
||||
|
||||
A `docker-compose` template is also available with a database configuration
|
||||
available.
|
||||
|
||||
4. Edit the environment variables.
|
||||
|
||||
Honcho uses a `.env` file for managing runtime environment variables. A
|
||||
`.env.template` file is included for convenience. Several of the configurations
|
||||
are not required and are only necessary for additional logging, monitoring, and
|
||||
security.
|
||||
|
||||
Below are the required configurations
|
||||
|
||||
```env
|
||||
CONNECTION_URI= # Connection uri for a postgres database
|
||||
OPENAI_API_KEY= # API Key for OpenAI used for insights
|
||||
```
|
||||
> Note that the `CONNECTION_URI` must have the prefix `postgresql+psycopg` to
|
||||
> function properly. This is a requirement brought by `sqlalchemy`
|
||||
|
||||
The template has the additional functionality disabled by default. To ensure
|
||||
that they are disabled you can verify the following environment variables are
|
||||
set to false.
|
||||
|
||||
```env
|
||||
USE_AUTH_SERVICE=false
|
||||
OPENTELEMETRY_ENABLED=false
|
||||
SENTRY_ENABLED=false
|
||||
```
|
||||
|
||||
5. Launch the API
|
||||
|
||||
With the dependencies installed, a database setup and enabled with `pgvector`,
|
||||
and the environment variables setup you can now launch a local instance of
|
||||
Honcho. The following command will launch the storage API for Honcho
|
||||
|
||||
```bash
|
||||
python -m uvicorn src.main:app --reload --port 8000
|
||||
```
|
||||
This is a development server that will reload whenever code is changed. When
|
||||
first launching the API with a connection the database it will provision the
|
||||
necessary tables for Honcho to operate.
|
||||
|
||||
### Docker
|
||||
|
||||
As mentioned earlier a `docker-compose` template is included for running Honcho.
|
||||
As an alternative to running Honcho locally it can also be run with the compose
|
||||
template.
|
||||
|
||||
Copy the template and update the appropriate environment variables before
|
||||
launching the service.
|
||||
|
||||
```bash
|
||||
cd honcho
|
||||
cp docker-compose.yml.example docker-compose.yml
|
||||
[ update the file with openai key and other wanted environment variables ]
|
||||
docker compose up
|
||||
```
|
||||
|
|
@ -1,14 +1,21 @@
|
|||
---
|
||||
title: 🫡 Welcome to Honcho
|
||||
sidebarTitle: 'Overview'
|
||||
description: 'Honcho is an open source framework for building personalized AI experiences.'
|
||||
description: 'Honcho is an open source platform for building personalized AI experiences.'
|
||||
icon: 'face-saluting'
|
||||
---
|
||||
|
||||
<Snippet file="overview-shields.mdx" />
|
||||
|
||||
Honcho provides a simple API for managing multiple concurrent sessions across numerous users.
|
||||
Now you can focus on improving your service instead of spending countless hours figuring out how to get it to scale. To learn more about the project, check out our [blog post](https://blog.plasticlabs.ai/blog/A-Simple-Honcho-Primer).
|
||||
Honcho provides an simple API store data for AI applications in a user-centric
|
||||
fashion and derive insights about users that improve the ability of
|
||||
applications to quickly deliver value to the User.
|
||||
|
||||
Now you can focus on improving your service instead of spending
|
||||
countless hours figuring out how to get it to scale and be personalized.
|
||||
|
||||
To learn more about the project, check out our [blog
|
||||
post](https://blog.plasticlabs.ai/blog/A-Simple-Honcho-Primer).
|
||||
|
||||
Get started below!
|
||||
|
||||
|
|
@ -16,22 +23,22 @@ Get started below!
|
|||
<Card
|
||||
title="Quickstart"
|
||||
icon="bolt"
|
||||
href="/quickstart"
|
||||
href="/getting-started/quickstart"
|
||||
>
|
||||
Quickly set up a local environment to interface with the Honcho API
|
||||
</Card>
|
||||
<Card
|
||||
title="Architecture"
|
||||
icon="building"
|
||||
href="/architecture"
|
||||
href="/getting-started/architecture"
|
||||
>
|
||||
Get an overview of the different primitives and structure of Honcho
|
||||
</Card>
|
||||
<Card
|
||||
title="Integrate with Langchain"
|
||||
icon="bird"
|
||||
href="/guides/langchain"
|
||||
title="Honcho Primer"
|
||||
icon="scroll"
|
||||
href="https://blog.plasticlabs.ai/blog/A-Simple-Honcho-Primer"
|
||||
>
|
||||
Learn how to use LangChain and Honcho together to quickly scale your agents to many users
|
||||
Read our blog post that introduces Honcho, the motivations behind it, and what it will enable.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
|
|
|||
|
|
@ -10,63 +10,118 @@ package defaults to this instance, so let's dive into how to get up and
|
|||
running!
|
||||
|
||||
|
||||
Install the Honcho client SDK with the following command:
|
||||
```bash
|
||||
Install the Honcho client SDK with the following commands:
|
||||
|
||||
<CodeGroup>
|
||||
```bash Python
|
||||
pip install honcho-ai
|
||||
```
|
||||
Alternatively, if you're using [Poetry](https://python-poetry.org/), run:
|
||||
```bash
|
||||
poetry add honcho-ai
|
||||
|
||||
```bash NodeJS
|
||||
npm install honcho-ai
|
||||
```
|
||||
</CodeGroup>
|
||||
|
||||
Let's walk through simple Python steps. First, import the `Client` from the package:
|
||||
First, import the `Client` from the package:
|
||||
|
||||
```python
|
||||
<CodeGroup>
|
||||
```python Python
|
||||
from honcho import Honcho
|
||||
honcho = Honcho(
|
||||
# This is the default and can be omitted
|
||||
api_key=os.environ.get("HONCHO_AUTH_TOKEN"),
|
||||
# defaults to "local".
|
||||
environment="demo",
|
||||
)
|
||||
```
|
||||
|
||||
```javascript NodeJS
|
||||
import Honcho from 'honcho-ai';
|
||||
const honcho = new Honcho({
|
||||
apiKey: process.env['HONCHO_AUTH_TOKEN'], // This is the default and can be omitted
|
||||
environment: 'demo', // defaults to 'local'
|
||||
});
|
||||
```
|
||||
</CodeGroup>
|
||||
|
||||
Next, we want to register an application with the Honcho client:
|
||||
```python
|
||||
from uuid import uuid4
|
||||
|
||||
app_name = str(uuid4()) # random int for the app_name, but this can be any string
|
||||
honcho = Honcho(app_name=app_name)
|
||||
honcho.initialize()
|
||||
<CodeGroup>
|
||||
|
||||
```python Python
|
||||
app = client.apps.get_or_create(
|
||||
name="string",
|
||||
)
|
||||
```
|
||||
|
||||
```javascript NodeJS
|
||||
const app = await honcho.apps.getOrCreate({ name: 'string' });
|
||||
```
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
|
||||
This will create an application with the above name if it does not already exist or retrieve it if it does. After we have our application
|
||||
initialized, we can make a user with the following:
|
||||
|
||||
```python
|
||||
user_name = str(uuid4()) # random int for the user_name, but this can be anything, should be unique for each user
|
||||
user = honcho.create_user(user_name)
|
||||
<CodeGroup>
|
||||
|
||||
```python Python
|
||||
user = honcho.apps.users.create(app_id=app.id, name="User")
|
||||
```
|
||||
|
||||
```javascript NodeJS
|
||||
const user = honcho.apps.users.create(app.id, {name: "User" })
|
||||
```
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
Now let's create a session for that application. Honcho is a user context management system, so you can create sessions for users. Thus, a `user_id` is required.
|
||||
```python
|
||||
session = user.create_session()
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
```python Python
|
||||
session = client.apps.users.sessions.create(user.id, app.id, location_id=default)
|
||||
```
|
||||
|
||||
```javascript NodeJS
|
||||
const session = client.apps.users.sessions.create(app.id, user.id, { location_id: "default"}) -> Session
|
||||
```
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
Let's add a user message and an AI message to that session:
|
||||
```python
|
||||
user_input = "Here's a message!"
|
||||
ai_response = "I'm a helpful assistant!"
|
||||
|
||||
session.create_message(is_user=True, content=user_input)
|
||||
session.create_message(is_user=False, content=ai_response)
|
||||
<CodeGroup>
|
||||
|
||||
```python Python
|
||||
client.apps.users.sessions.messages.create(session.id, app.id, user.id, content="Test", is_user=True)
|
||||
```
|
||||
|
||||
```javascript NodeJS
|
||||
client.apps.users.sessions.messages.create(app.id, user.id, session.id, { content: "Test", is_user: true })
|
||||
```
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
You can also easily query Honcho to get the session objects for that user with the following:
|
||||
```python
|
||||
sessions = list(user.get_sessions_generator())
|
||||
session = sessions[0] # gets the most recent session for that user
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
```python Python
|
||||
async for session in client.apps.users.list(app.id, user.id):
|
||||
doSomethingWith(session)
|
||||
```
|
||||
|
||||
And finally you can get the messages within a session with the following:
|
||||
```python
|
||||
messages = list(session.get_messages_generator())
|
||||
```javascript NodeJS
|
||||
for await (const session of honcho.apps.users.sessions.list(app.id, user.id)) {
|
||||
doSomethingWith(session)
|
||||
}
|
||||
```
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
|
||||
This is a super simple overview of how to get up and running with the Honcho SDK. We covered the basic methods for reading and writing from the hosted storage service. Next, we'll cover alternative forms of hosting Honcho.
|
||||
|
||||
For a more detailed look at the SDK check out the SDK reference [here](https://api.python.honcho.dev/).
|
||||
|
|
@ -1,64 +0,0 @@
|
|||
---
|
||||
title: 'Self-Hosting Honcho'
|
||||
sidebarTitle: 'Self-Hosting'
|
||||
description: 'Running a local version of the Honcho API Server'
|
||||
icon: 'cloud'
|
||||
---
|
||||
|
||||
|
||||
|
||||
Honcho is a monorepo that contains the server and API to manage database interactions. It stores data about an application's state along with the python sdk for interacting with the API.
|
||||
You can host it locally quite easily! This can be beneficial for iterative development, testing, and debugging. This guide will go through the different ways to host locally.
|
||||
|
||||
### Setup
|
||||
|
||||
1. Clone the repository:
|
||||
```bash
|
||||
git clone git@github.com:plastic-labs/honcho.git
|
||||
```
|
||||
|
||||
2. Copy the `.env.template` file to `.env` and specify the type of database and `CONNECTION_URI`. For testing sqlite is fine. The below example uses a sqlite database with a local file:
|
||||
|
||||
> Honcho has been tested with Postgresql and SQLite
|
||||
|
||||
```env
|
||||
DATABASE_TYPE=sqlite
|
||||
CONNECTION_URI=sqlite:///api.db
|
||||
```
|
||||
|
||||
Now the tutorial will diverge based on how you'd like to run the API.
|
||||
|
||||
### Poetry
|
||||
|
||||
This project utilizes [Poetry](https://python-poetry.org/) for dependency management, so you can run the API through a poetry virtual environment.
|
||||
|
||||
3. Create a virtualenv and install the API's dependencies:
|
||||
```bash
|
||||
cd honcho/api/ # change to the api directory
|
||||
poetry shell # Activate virutal environment
|
||||
poetry install # install dependencies
|
||||
```
|
||||
|
||||
4. Run the API via uvicorn:
|
||||
```bash
|
||||
cd honcho/api # change to the api directory
|
||||
poetry shell # Activate virtual environment if not already enabled
|
||||
python -m uvicorn src.main:app --reload
|
||||
```
|
||||
|
||||
### Docker
|
||||
|
||||
Alternatively there is also a `Dockerfile` included to run the API server from a docker container.
|
||||
|
||||
The `.env` file is not loaded into the docker container and should still be configured from outside.
|
||||
|
||||
3. Build the docker image:
|
||||
```bash
|
||||
cd honcho/api
|
||||
docker build -t honcho-api .
|
||||
```
|
||||
|
||||
4. Run the docker image:
|
||||
```bash
|
||||
docker run --env-file .env -p 8000:8000 honcho-api:latest
|
||||
```
|
||||
|
|
@ -30,11 +30,6 @@
|
|||
}
|
||||
],
|
||||
"anchors": [
|
||||
{
|
||||
"name": "SDK Reference",
|
||||
"icon": "book-open-cover",
|
||||
"url": "https://api.python.honcho.dev"
|
||||
},
|
||||
{
|
||||
"name": "Community",
|
||||
"icon": "discord",
|
||||
|
|
@ -52,16 +47,16 @@
|
|||
"pages": [
|
||||
"getting-started/introduction",
|
||||
"getting-started/quickstart",
|
||||
"getting-started/architecture",
|
||||
"getting-started/self-hosting",
|
||||
"getting-started/deploying"
|
||||
"getting-started/architecture"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "About",
|
||||
"group": "Contributing",
|
||||
"pages": [
|
||||
"about/contributing",
|
||||
"about/license"
|
||||
"contributing/guidelines",
|
||||
"contributing/self-hosting",
|
||||
"contributing/deploying",
|
||||
"contributing/license"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -111,6 +106,7 @@
|
|||
"api-reference/endpoint/users/get-users",
|
||||
"api-reference/endpoint/users/create-user",
|
||||
"api-reference/endpoint/users/get-user-by-name",
|
||||
"api-reference/endpoint/users/get-user",
|
||||
"api-reference/endpoint/users/get-or-create-user",
|
||||
"api-reference/endpoint/users/update-user"
|
||||
]
|
||||
|
|
@ -123,7 +119,8 @@
|
|||
"api-reference/endpoint/sessions/get-session",
|
||||
"api-reference/endpoint/sessions/update-session",
|
||||
"api-reference/endpoint/sessions/delete-session",
|
||||
"api-reference/endpoint/sessions/get-chat"
|
||||
"api-reference/endpoint/sessions/get-chat",
|
||||
"api-reference/endpoint/sessions/get-chat-stream"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -145,6 +142,7 @@
|
|||
"api-reference/endpoint/collections/get-collections",
|
||||
"api-reference/endpoint/collections/create-collection",
|
||||
"api-reference/endpoint/collections/get-collection-by-name",
|
||||
"api-reference/endpoint/collections/get-collection-by-id",
|
||||
"api-reference/endpoint/collections/update-collection",
|
||||
"api-reference/endpoint/collections/delete-collection"
|
||||
]
|
||||
|
|
@ -167,7 +165,7 @@
|
|||
"linkedin": "https://www.linkedin.com/company/plasticlabs"
|
||||
},
|
||||
"openapi": [
|
||||
"https://demo.honcho.dev/openapi.json"
|
||||
"/openapi.json"
|
||||
],
|
||||
"analytics": {
|
||||
"posthog": {
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
|
|
@ -5,6 +5,7 @@
|
|||
"main": ".pnp.js",
|
||||
"scripts": {
|
||||
"dev": "mintlify dev",
|
||||
"openapi": "npx @mintlify/scraping@latest openapi-file openapi.json -o api-reference/endpoint",
|
||||
"test": "echo \"Error: no test specified\" && exit 1"
|
||||
},
|
||||
"author": "",
|
||||
|
|
|
|||
|
|
@ -1,51 +0,0 @@
|
|||
from typing import List
|
||||
from uuid import uuid4
|
||||
|
||||
from langchain.prompts import ChatPromptTemplate
|
||||
|
||||
from langchain.schema import AIMessage, HumanMessage, SystemMessage
|
||||
from langchain_community.chat_models.fake import FakeListChatModel
|
||||
|
||||
from honcho import Honcho
|
||||
from honcho.ext.langchain import messages_to_langchain
|
||||
|
||||
app_name = str(uuid4())
|
||||
|
||||
honcho = Honcho(
|
||||
app_name=app_name, base_url="http://localhost:8000"
|
||||
) # uncomment to use local
|
||||
# honcho = Honcho(app_name=app_name) # uses demo server at https://demo.honcho.dev
|
||||
honcho.initialize()
|
||||
|
||||
responses = ["Fake LLM Response :)"]
|
||||
llm = FakeListChatModel(responses=responses)
|
||||
system = SystemMessage(
|
||||
content="You are world class technical documentation writer. Be as concise as possible"
|
||||
)
|
||||
|
||||
user_name = "CLI-Test"
|
||||
user = honcho.create_user(user_name)
|
||||
session = user.create_session()
|
||||
|
||||
|
||||
def chat():
|
||||
while True:
|
||||
user_input = input("User: ")
|
||||
if user_input == "exit":
|
||||
session.close()
|
||||
break
|
||||
user_message = HumanMessage(content=user_input)
|
||||
history = list(session.get_messages_generator())
|
||||
langchain_history = messages_to_langchain(history)
|
||||
prompt = ChatPromptTemplate.from_messages(
|
||||
[system, *langchain_history, user_message]
|
||||
)
|
||||
chain = prompt | llm
|
||||
response = chain.invoke({})
|
||||
print(type(response))
|
||||
print(f"AI: {response.content}")
|
||||
session.create_message(is_user=True, content=user_input)
|
||||
session.create_message(is_user=False, content=response.content)
|
||||
|
||||
|
||||
chat()
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,17 +0,0 @@
|
|||
[tool.poetry]
|
||||
name = "honcho-cli-example"
|
||||
version = "0.1.0"
|
||||
description = "CLI example for honcho"
|
||||
authors = ["Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.11"
|
||||
honcho-ai = {path = "../../sdk", develop = true}
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
langchain = "^0.1.0"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
@ -1 +0,0 @@
|
|||
BOT_TOKEN=
|
||||
|
|
@ -1,65 +0,0 @@
|
|||
import os
|
||||
from uuid import uuid4
|
||||
import discord
|
||||
from dotenv import load_dotenv
|
||||
|
||||
from honcho import Honcho
|
||||
|
||||
load_dotenv()
|
||||
|
||||
intents = discord.Intents.default()
|
||||
intents.messages = True
|
||||
intents.message_content = True
|
||||
|
||||
app_name = str(uuid4())
|
||||
|
||||
# honcho = Honcho(app_name=app_name, base_url="http://localhost:8000") # uncomment to use local
|
||||
honcho = Honcho(app_name=app_name) # uses demo server at https://demo.honcho.dev
|
||||
honcho.initialize()
|
||||
|
||||
bot = discord.Bot(intents=intents)
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_ready():
|
||||
print(f"We have logged in as {bot.user}")
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_message(message):
|
||||
if message.author == bot.user:
|
||||
return
|
||||
|
||||
user_id = f"discord_{str(message.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(message.channel.id)
|
||||
|
||||
sessions = list(user.get_sessions_generator(location_id))
|
||||
if len(sessions) > 0:
|
||||
session = sessions[0]
|
||||
else:
|
||||
session = user.create_session(location_id)
|
||||
|
||||
inp = message.content
|
||||
session.create_message(is_user=True, content=inp)
|
||||
async with message.channel.typing():
|
||||
output = "Fake LLM Message"
|
||||
await message.channel.send(output)
|
||||
|
||||
session.create_message(is_user=False, content=output)
|
||||
|
||||
|
||||
@bot.slash_command(name="restart", description="Restart the Conversation")
|
||||
async def restart(ctx):
|
||||
user_id = f"discord_{str(ctx.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(ctx.channel_id)
|
||||
sessions = list(user.get_sessions_generator(location_id))
|
||||
sessions[0].close() if len(sessions) > 0 else None
|
||||
|
||||
await ctx.respond(
|
||||
"Great! The conversation has been restarted. What would you like to talk about?"
|
||||
)
|
||||
|
||||
|
||||
bot.run(os.environ["BOT_TOKEN"])
|
||||
|
|
@ -1,762 +0,0 @@
|
|||
# This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiohttp"
|
||||
version = "3.8.6"
|
||||
description = "Async http client/server framework (asyncio)"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:41d55fc043954cddbbd82503d9cc3f4814a40bcef30b3569bc7b5e34130718c1"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1d84166673694841d8953f0a8d0c90e1087739d24632fe86b1a08819168b4566"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:253bf92b744b3170eb4c4ca2fa58f9c4b87aeb1df42f71d4e78815e6e8b73c9e"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3fd194939b1f764d6bb05490987bfe104287bbf51b8d862261ccf66f48fb4096"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6c5f938d199a6fdbdc10bbb9447496561c3a9a565b43be564648d81e1102ac22"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2817b2f66ca82ee699acd90e05c95e79bbf1dc986abb62b61ec8aaf851e81c93"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fa375b3d34e71ccccf172cab401cd94a72de7a8cc01847a7b3386204093bb47"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9de50a199b7710fa2904be5a4a9b51af587ab24c8e540a7243ab737b45844543"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e1d8cb0b56b3587c5c01de3bf2f600f186da7e7b5f7353d1bf26a8ddca57f965"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:8e31e9db1bee8b4f407b77fd2507337a0a80665ad7b6c749d08df595d88f1cf5"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:7bc88fc494b1f0311d67f29fee6fd636606f4697e8cc793a2d912ac5b19aa38d"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ec00c3305788e04bf6d29d42e504560e159ccaf0be30c09203b468a6c1ccd3b2"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ad1407db8f2f49329729564f71685557157bfa42b48f4b93e53721a16eb813ed"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-win32.whl", hash = "sha256:ccc360e87341ad47c777f5723f68adbb52b37ab450c8bc3ca9ca1f3e849e5fe2"},
|
||||
{file = "aiohttp-3.8.6-cp310-cp310-win_amd64.whl", hash = "sha256:93c15c8e48e5e7b89d5cb4613479d144fda8344e2d886cf694fd36db4cc86865"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6e2f9cc8e5328f829f6e1fb74a0a3a939b14e67e80832975e01929e320386b34"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e6a00ffcc173e765e200ceefb06399ba09c06db97f401f920513a10c803604ca"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:41bdc2ba359032e36c0e9de5a3bd00d6fb7ea558a6ce6b70acedf0da86458321"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14cd52ccf40006c7a6cd34a0f8663734e5363fd981807173faf3a017e202fec9"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2d5b785c792802e7b275c420d84f3397668e9d49ab1cb52bd916b3b3ffcf09ad"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1bed815f3dc3d915c5c1e556c397c8667826fbc1b935d95b0ad680787896a358"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96603a562b546632441926cd1293cfcb5b69f0b4159e6077f7c7dbdfb686af4d"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d76e8b13161a202d14c9584590c4df4d068c9567c99506497bdd67eaedf36403"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e3f1e3f1a1751bb62b4a1b7f4e435afcdade6c17a4fd9b9d43607cebd242924a"},
|
||||
{file = "aiohttp-3.8.6-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:76b36b3124f0223903609944a3c8bf28a599b2cc0ce0be60b45211c8e9be97f8"},
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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url = "../../../sdk"
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||||
|
||||
[[package]]
|
||||
name = "httpcore"
|
||||
version = "1.0.2"
|
||||
description = "A minimal low-level HTTP client."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
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||||
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||||
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||||
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||||
[package.dependencies]
|
||||
certifi = "*"
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||||
h11 = ">=0.13,<0.15"
|
||||
|
||||
[package.extras]
|
||||
asyncio = ["anyio (>=4.0,<5.0)"]
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||||
http2 = ["h2 (>=3,<5)"]
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||||
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||||
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||||
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||||
[[package]]
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||||
name = "httpx"
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||||
version = "0.26.0"
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||||
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||||
category = "main"
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||||
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||||
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||||
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||||
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||||
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||||
idna = "*"
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||||
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||||
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||||
[package.extras]
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||||
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||||
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||||
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||||
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||||
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||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.6"
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||||
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||
category = "main"
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
{file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
idna = ">=2.0"
|
||||
multidict = ">=4.0"
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.11"
|
||||
content-hash = "f31c071455001b66fe72eb743b16c64f108172c4314475b772e5cbd18942d0dc"
|
||||
|
|
@ -1,17 +0,0 @@
|
|||
[tool.poetry]
|
||||
name = "honcho-discord-example"
|
||||
version = "0.1.0"
|
||||
description = "Discord example for honcho"
|
||||
authors = ["Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.11"
|
||||
py-cord = "^2.4.1"
|
||||
python-dotenv = "^1.0.0"
|
||||
honcho-ai = {path = "../../../sdk", develop = true}
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
@ -1,2 +0,0 @@
|
|||
BOT_TOKEN=
|
||||
OPENAI_API_KEY=
|
||||
|
|
@ -1,5 +0,0 @@
|
|||
.env
|
||||
|
||||
.venv
|
||||
|
||||
.DS_Store
|
||||
|
|
@ -1,151 +0,0 @@
|
|||
import os
|
||||
from uuid import uuid1
|
||||
import discord
|
||||
from honcho import Honcho
|
||||
from honcho.ext.langchain import messages_to_langchain
|
||||
from graph import chat
|
||||
from dspy import Example
|
||||
|
||||
intents = discord.Intents.default()
|
||||
intents.messages = True
|
||||
intents.message_content = True
|
||||
intents.members = True
|
||||
intents.reactions = True # Enable reactions intent
|
||||
|
||||
app_name = str(uuid1())
|
||||
|
||||
# honcho = Honcho(app_name=app_name, base_url="http://localhost:8000") # uncomment to use local
|
||||
honcho = Honcho(app_name=app_name) # uses demo server at https://demo.honcho.dev
|
||||
honcho.initialize()
|
||||
|
||||
bot = discord.Bot(intents=intents)
|
||||
|
||||
thumbs_up_messages = []
|
||||
thumbs_down_messages = []
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_ready():
|
||||
print(f"We have logged in as {bot.user}")
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_member_join(member):
|
||||
await member.send(
|
||||
f"*Hello {member.name}, welcome to the server! This is a demo bot built with Honcho,* "
|
||||
"*implementing a naive user modeling method.* "
|
||||
"*To get started, just type a message in this channel and the bot will respond.* "
|
||||
'*Over time, it will classify the "state" you\'re in and optimize conversations based on that state.* '
|
||||
"*You can use the /restart command to restart the conversation at any time.* "
|
||||
"*If you have any questions or feedback, feel free to ask in the #honcho channel.* "
|
||||
"*Enjoy!*"
|
||||
)
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_message(message):
|
||||
if message.author == bot.user or message.guild is not None:
|
||||
return
|
||||
|
||||
user_id = f"discord_{str(message.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(message.channel.id)
|
||||
|
||||
sessions = list(
|
||||
user.get_sessions_generator(location_id, is_active=True, reverse=True)
|
||||
)
|
||||
|
||||
if len(sessions) > 0:
|
||||
session = sessions[0]
|
||||
else:
|
||||
session = user.create_session(location_id)
|
||||
|
||||
history = list(session.get_messages_generator())[:5]
|
||||
chat_history = messages_to_langchain(history)
|
||||
|
||||
inp = message.content
|
||||
user_message = session.create_message(is_user=True, content=inp)
|
||||
|
||||
async with message.channel.typing():
|
||||
response = await chat(
|
||||
chat_history=chat_history,
|
||||
user_message=user_message,
|
||||
session=session,
|
||||
input=inp,
|
||||
)
|
||||
await message.channel.send(response)
|
||||
|
||||
session.create_message(is_user=False, content=response)
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_reaction_add(reaction, user):
|
||||
# Ensure the bot does not react to its own reactions
|
||||
if user == bot.user:
|
||||
return
|
||||
|
||||
user_id = f"discord_{str(user.id)}"
|
||||
honcho_user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(reaction.message.channel.id)
|
||||
|
||||
sessions = list(
|
||||
honcho_user.get_sessions_generator(location_id, is_active=True, reverse=True)
|
||||
)
|
||||
if len(sessions) > 0:
|
||||
session = sessions[0]
|
||||
else:
|
||||
session = honcho_user.create_session(location_id)
|
||||
|
||||
messages = list(session.get_messages_generator(reverse=True))
|
||||
ai_responses = [message for message in messages if not message.is_user]
|
||||
user_responses = [message for message in messages if message.is_user]
|
||||
# most recent AI response
|
||||
ai_response = ai_responses[0].content
|
||||
user_response = user_responses[0]
|
||||
|
||||
user_state_storage = dict(honcho_user.metadata)
|
||||
user_state = list(
|
||||
session.get_metamessages_generator(
|
||||
metamessage_type="user_state", message=user_response, reverse=True
|
||||
)
|
||||
)[0].content
|
||||
examples = user_state_storage[user_state]["examples"]
|
||||
|
||||
# Check if the reaction is a thumbs up
|
||||
if str(reaction.emoji) == "👍":
|
||||
example = Example(
|
||||
chat_input=user_response.content,
|
||||
response=ai_response,
|
||||
assessment_dimension=user_state,
|
||||
label="yes",
|
||||
).with_inputs("chat_input", "response", "assessment_dimension")
|
||||
examples.append(example.toDict())
|
||||
# Check if the reaction is a thumbs down
|
||||
elif str(reaction.emoji) == "👎":
|
||||
example = Example(
|
||||
chat_input=user_response.content,
|
||||
response=ai_response,
|
||||
assessment_dimension=user_state,
|
||||
label="no",
|
||||
).with_inputs("chat_input", "response", "assessment_dimension")
|
||||
examples.append(example.toDict())
|
||||
|
||||
user_state_storage[user_state]["examples"] = examples
|
||||
honcho_user.update(metadata=user_state_storage)
|
||||
|
||||
|
||||
@bot.slash_command(name="restart", description="Restart the Conversation")
|
||||
async def restart(ctx):
|
||||
user_id = f"discord_{str(ctx.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(ctx.channel_id)
|
||||
sessions = list(user.get_sessions_generator(location_id, reverse=True))
|
||||
sessions[0].close() if len(sessions) > 0 else None
|
||||
|
||||
msg = (
|
||||
"Great! The conversation has been restarted. What would you like to talk about?"
|
||||
)
|
||||
await ctx.respond(msg)
|
||||
|
||||
|
||||
bot.run(os.environ["BOT_TOKEN"])
|
||||
|
|
@ -1,157 +0,0 @@
|
|||
import os
|
||||
from typing import List, Union
|
||||
from dotenv import load_dotenv
|
||||
from langchain_openai import ChatOpenAI
|
||||
from langchain_core.prompts import (
|
||||
ChatPromptTemplate,
|
||||
SystemMessagePromptTemplate,
|
||||
load_prompt,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
|
||||
from honcho import Message
|
||||
|
||||
load_dotenv()
|
||||
|
||||
# langchain prompts
|
||||
SYSTEM_STATE_COMMENTARY = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "langchain_prompts/state_commentary.yaml")
|
||||
)
|
||||
SYSTEM_STATE_LABELING = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "langchain_prompts/state_labeling.yaml")
|
||||
)
|
||||
SYSTEM_STATE_CHECK = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "langchain_prompts/state_check.yaml")
|
||||
)
|
||||
|
||||
|
||||
# convert chat history and user input into a string
|
||||
def format_chat_history(chat_history: List[Message], user_input=None):
|
||||
messages = [
|
||||
(
|
||||
"user: " + message.content
|
||||
if isinstance(message, HumanMessage)
|
||||
else "ai: " + message.content
|
||||
)
|
||||
for message in chat_history
|
||||
]
|
||||
if user_input:
|
||||
messages.append(f"user: {user_input}")
|
||||
|
||||
return "\n".join(messages)
|
||||
|
||||
|
||||
class StateExtractor:
|
||||
"""Wrapper class for all the DSPy and LangChain code for user state labeling and pipeline optimization"""
|
||||
|
||||
lc_gpt_4: ChatOpenAI = ChatOpenAI(model_name="gpt-4")
|
||||
lc_gpt_turbo: ChatOpenAI = ChatOpenAI(model_name="gpt-3.5-turbo")
|
||||
system_state_commentary: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_STATE_COMMENTARY
|
||||
)
|
||||
system_state_labeling: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_STATE_LABELING
|
||||
)
|
||||
system_state_check: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_STATE_CHECK
|
||||
)
|
||||
|
||||
def __init__(self) -> None:
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
async def generate_state_commentary(
|
||||
cls, existing_states: List[str], chat_history: List[Message], input: str
|
||||
) -> str:
|
||||
"""Generate a commentary on the current state of the user"""
|
||||
# format existing states
|
||||
existing_states = "\n".join(existing_states)
|
||||
# format prompt
|
||||
state_commentary = ChatPromptTemplate.from_messages(
|
||||
[cls.system_state_commentary]
|
||||
)
|
||||
# LCEL
|
||||
chain = state_commentary | cls.lc_gpt_4
|
||||
# inference
|
||||
response = await chain.ainvoke(
|
||||
{
|
||||
"chat_history": chat_history,
|
||||
"user_input": input,
|
||||
"existing_states": existing_states,
|
||||
}
|
||||
)
|
||||
# return output
|
||||
return response.content
|
||||
|
||||
@classmethod
|
||||
async def generate_state_label(
|
||||
cls, existing_states: List[str], state_commentary: str
|
||||
) -> str:
|
||||
"""Generate a state label from a commetary on the user's state"""
|
||||
# format existing states
|
||||
existing_states = "\n".join(existing_states)
|
||||
# format prompt
|
||||
state_labeling = ChatPromptTemplate.from_messages(
|
||||
[
|
||||
cls.system_state_labeling,
|
||||
]
|
||||
)
|
||||
# LCEL
|
||||
chain = state_labeling | cls.lc_gpt_4
|
||||
# inference
|
||||
response = await chain.ainvoke(
|
||||
{
|
||||
"state_commentary": state_commentary,
|
||||
"existing_states": existing_states,
|
||||
}
|
||||
)
|
||||
|
||||
# strip anything that's not letters
|
||||
clean_response = "".join(c for c in response.content if c.isalpha())
|
||||
# return output
|
||||
return clean_response
|
||||
|
||||
@classmethod
|
||||
async def check_state_exists(cls, existing_states: List[str], state: str):
|
||||
"""Check if a user state is new or already is stored"""
|
||||
|
||||
# convert existing_states to a formatted string
|
||||
existing_states = "\n".join(existing_states)
|
||||
|
||||
# format prompt
|
||||
state_check = ChatPromptTemplate.from_messages([cls.system_state_check])
|
||||
# LCEL
|
||||
chain = state_check | cls.lc_gpt_turbo
|
||||
# inference
|
||||
response = await chain.ainvoke(
|
||||
{
|
||||
"existing_states": existing_states,
|
||||
"state": state,
|
||||
}
|
||||
)
|
||||
# return output
|
||||
return response.content
|
||||
|
||||
@classmethod
|
||||
async def generate_state(
|
||||
cls, existing_states: List[str], chat_history: List[Message], input: str
|
||||
):
|
||||
""" "Determine the user's state from the current conversation state"""
|
||||
|
||||
# Generate label
|
||||
state_commentary = await cls.generate_state_commentary(
|
||||
existing_states, chat_history, input
|
||||
)
|
||||
state_label = await cls.generate_state_label(existing_states, state_commentary)
|
||||
|
||||
# Determine if state is new
|
||||
# if True, it doesn't exist, state is new
|
||||
# if False, it does exist, state is not new, existing_state was returned
|
||||
existing_state = await cls.check_state_exists(existing_states, state_label)
|
||||
is_state_new = existing_state == "None"
|
||||
|
||||
# return existing state if we found one
|
||||
if is_state_new:
|
||||
return is_state_new, state_label
|
||||
else:
|
||||
return is_state_new, existing_state
|
||||
|
|
@ -1,135 +0,0 @@
|
|||
import os
|
||||
import dspy
|
||||
from dspy import Example
|
||||
from typing import List, Optional
|
||||
from dspy.teleprompt import BootstrapFewShot
|
||||
from dotenv import load_dotenv
|
||||
from chain import StateExtractor, format_chat_history
|
||||
from response_metric import metric
|
||||
|
||||
from honcho import Message, Session
|
||||
|
||||
load_dotenv()
|
||||
|
||||
# Configure DSPy
|
||||
dspy_gpt4 = dspy.OpenAI(model="gpt-4", max_tokens=1000)
|
||||
dspy.settings.configure(lm=dspy_gpt4)
|
||||
|
||||
|
||||
# DSPy Signatures
|
||||
class Thought(dspy.Signature):
|
||||
"""Generate a thought about the user's needs"""
|
||||
|
||||
user_input = dspy.InputField()
|
||||
thought = dspy.OutputField(desc="a prediction about the user's mental state")
|
||||
|
||||
|
||||
class Response(dspy.Signature):
|
||||
"""Generate a response for the user based on the thought provided"""
|
||||
|
||||
user_input = dspy.InputField()
|
||||
thought = dspy.InputField()
|
||||
response = dspy.OutputField(desc="keep the conversation going, be engaging")
|
||||
|
||||
|
||||
# DSPy Module
|
||||
class ChatWithThought(dspy.Module):
|
||||
generate_thought = dspy.Predict(Thought)
|
||||
generate_response = dspy.Predict(Response)
|
||||
|
||||
def forward(
|
||||
self,
|
||||
chat_input: str,
|
||||
user_message: Optional[Message] = None,
|
||||
session: Optional[Session] = None,
|
||||
response: Optional[str] = None,
|
||||
assessment_dimension: Optional[str] = None,
|
||||
):
|
||||
# call the thought predictor
|
||||
thought = self.generate_thought(user_input=chat_input)
|
||||
|
||||
if session and user_message:
|
||||
session.create_metamessage(
|
||||
user_message, metamessage_type="thought", content=thought.thought
|
||||
)
|
||||
|
||||
# call the response predictor
|
||||
response = self.generate_response(
|
||||
user_input=chat_input, thought=thought.thought
|
||||
)
|
||||
|
||||
return response # this is a prediction object
|
||||
|
||||
|
||||
async def chat(
|
||||
user_message: Message,
|
||||
session: Session,
|
||||
chat_history: List[Message],
|
||||
input: str,
|
||||
optimization_threshold=3,
|
||||
):
|
||||
user_state_storage = dict(session.user.metadata)
|
||||
# first we need to see if the user has any existing states
|
||||
existing_states = list(user_state_storage.keys())
|
||||
|
||||
# then we need to take the user input and determine the user's state/dimension/persona
|
||||
is_state_new, user_state = await StateExtractor.generate_state(
|
||||
existing_states=existing_states, chat_history=chat_history, input=input
|
||||
)
|
||||
print(f"USER STATE: {user_state}")
|
||||
print(f"IS STATE NEW: {is_state_new}")
|
||||
|
||||
# add metamessage to message to keep track of what label got assigned to what message
|
||||
if session and user_message:
|
||||
session.create_metamessage(
|
||||
user_message, metamessage_type="user_state", content=user_state
|
||||
)
|
||||
|
||||
user_chat_module = ChatWithThought()
|
||||
|
||||
# Save the user_state if it's new
|
||||
if is_state_new:
|
||||
user_state_storage[user_state] = {"chat_module": {}, "examples": []}
|
||||
|
||||
user_state_data = user_state_storage[user_state]
|
||||
|
||||
# Optimize the state's chat module if we've reached the optimization threshold
|
||||
examples = user_state_data["examples"]
|
||||
print(f"Num examples: {len(examples)}")
|
||||
session.user.update(metadata=user_state_storage)
|
||||
|
||||
if len(examples) >= optimization_threshold:
|
||||
# convert example from dicts to dspy Example objects
|
||||
optimizer_examples = []
|
||||
for example in examples:
|
||||
optimizer_example = Example(**example).with_inputs("chat_input", "response", "assessment_dimension")
|
||||
optimizer_examples.append(optimizer_example)
|
||||
|
||||
# Optimize chat module
|
||||
optimizer = BootstrapFewShot(metric=metric, max_rounds=5)
|
||||
|
||||
compiled_chat_module = optimizer.compile(user_chat_module, trainset=optimizer_examples)
|
||||
print(f"COMPILED_CHAT_MODULE: {compiled_chat_module}")
|
||||
|
||||
user_state_storage[user_state][
|
||||
"chat_module"
|
||||
] = compiled_chat_module.dump_state()
|
||||
print(f"DUMPED_STATE: {compiled_chat_module.dump_state()}")
|
||||
user_chat_module = compiled_chat_module
|
||||
|
||||
# Update User in Honcho
|
||||
session.user.update(metadata=user_state_storage)
|
||||
|
||||
# use that pipeline to generate a response
|
||||
chat_input = format_chat_history(chat_history, user_input=input)
|
||||
response = user_chat_module(
|
||||
user_message=user_message, session=session, chat_input=chat_input
|
||||
)
|
||||
# remove ai prefix
|
||||
response = response.response.replace("ai:", "").strip()
|
||||
|
||||
print("========== CHAT HISTORY ==========")
|
||||
dspy_gpt4.inspect_history(n=2)
|
||||
print("======= END CHAT HISTORY =========")
|
||||
|
||||
return response
|
||||
|
|
@ -1,10 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["existing_states", "state"]
|
||||
template: >
|
||||
Given the list of existing states, determine whether or not the new state is represented in the list of existing states.
|
||||
|
||||
existing states: """{existing_states}"""
|
||||
new state: """{state}"""
|
||||
|
||||
If the new state is sufficiently similar to a value in the list of existing states, return that existing state value. If the new state is NOT sufficiently similar to anything in existing states, return "None". Output a single value only.
|
||||
|
|
@ -1,9 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["existing_states", "chat_history", "user_input"]
|
||||
template: >
|
||||
Your job is to make a prediction about the task the user might be engaging in. Some people might be researching, exploring curiosities, or just asking questions for general inquiry. Provide commentary that would shed light on the "mode" the user might be in.
|
||||
|
||||
existing states: """{existing_states}"""
|
||||
chat history: """{chat_history}"""
|
||||
user input: """{user_input}"""
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["state_commentary", "existing_states"]
|
||||
template: >
|
||||
Your job is to label the state the user might be in. Some people might be conducting research, exploring a interest, or just asking questions for general inquiry.
|
||||
|
||||
commentary: """{state_commentary}"""
|
||||
Prior states, from oldest to most recent:"""
|
||||
{existing_states}
|
||||
"""
|
||||
|
||||
Take into account the user's prior states when making your prediction. Output your prediction as a concise, single word label.
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,21 +0,0 @@
|
|||
[tool.poetry]
|
||||
name = "honcho-dspy-personas"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["vintro <vince@plasticlabs.ai>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.11"
|
||||
dspy-ai = "^2.1.10"
|
||||
python-dotenv = "^1.0.1"
|
||||
langchain-core = "^0.1.23"
|
||||
langchain-openai = "^0.0.6"
|
||||
py-cord = "^2.4.1"
|
||||
langsmith = "^0.1.3"
|
||||
honcho-ai = "^0.0.4"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
@ -1,33 +0,0 @@
|
|||
import dspy
|
||||
|
||||
gpt4T = dspy.OpenAI(model='gpt-4-1106-preview', max_tokens=1000, model_type='chat')
|
||||
|
||||
class MessageResponseAssess(dspy.Signature):
|
||||
"""Assess the quality of a response along the specified dimension."""
|
||||
chat_input = dspy.InputField()
|
||||
assessment_dimension = dspy.InputField() # user state
|
||||
example_response = dspy.InputField()
|
||||
ai_response_label = dspy.OutputField(desc="yes or no")
|
||||
|
||||
|
||||
def metric(example, pred, trace=None):
|
||||
"""Assess the quality of a response along the specified dimension."""
|
||||
|
||||
chat_input = example.chat_input
|
||||
assessment_dimension = f"The user is in the following state: {example.assessment_dimension}. Is the AI response appropriate for this state? Respond with Yes or No."
|
||||
example_response = pred.response
|
||||
|
||||
with dspy.context(lm=gpt4T):
|
||||
assessment_result = dspy.Predict(MessageResponseAssess)(
|
||||
chat_input=chat_input,
|
||||
assessment_dimension=assessment_dimension,
|
||||
example_response=example_response
|
||||
)
|
||||
|
||||
is_appropriate = assessment_result.ai_response_label.lower() == 'yes'
|
||||
|
||||
print("======== OPTIMIZER HISTORY ========")
|
||||
gpt4T.inspect_history(n=5)
|
||||
print("======== END OPTIMIZER HISTORY ========")
|
||||
|
||||
return is_appropriate
|
||||
|
|
@ -1,2 +0,0 @@
|
|||
BOT_TOKEN=
|
||||
OPENAI_API_KEY=
|
||||
|
|
@ -1,5 +0,0 @@
|
|||
.env
|
||||
|
||||
.venv
|
||||
|
||||
.DS_Store
|
||||
|
|
@ -1,23 +0,0 @@
|
|||
# Honcho Fact Memory
|
||||
|
||||
This example contains code for a simple discord bot built with LangChain that's prompted to derive facts it can store from messages you input. It uses Honcho to organize the data storage on a per-user basis so we can code with user-focused mental model.
|
||||
|
||||
## Initial Setup
|
||||
|
||||
This project uses [Poetry](https://python-poetry.org/) for dependency and virtual environment management. Navigate to this folderand run the following commands:
|
||||
|
||||
```
|
||||
poetry shell
|
||||
poetry install
|
||||
```
|
||||
|
||||
## Run the Bot
|
||||
|
||||
By default, the bot will reference the hosted version of Honcho at https://demo.honcho.dev and store data there temorarily for up to 7 days. If you'd like to run Honcho locally, follow the instructions in the README at the root of this repository.
|
||||
|
||||
Copy the `.env.template` file to a `.env` file and fill out the `BOT_TOKEN` and `OPENAI_API_KEY` values. To run the bot, use the following command:
|
||||
```
|
||||
python bot.py
|
||||
```
|
||||
|
||||
If you have any further questions, feel free to join our [Discord server](https://discord.gg/plasticlabs) and ask in the #honcho channel!
|
||||
|
|
@ -1,94 +0,0 @@
|
|||
import os
|
||||
from uuid import uuid1
|
||||
import discord
|
||||
from honcho import Honcho
|
||||
from honcho.ext.langchain import messages_to_langchain
|
||||
from chain import LMChain
|
||||
|
||||
|
||||
intents = discord.Intents.default()
|
||||
intents.messages = True
|
||||
intents.message_content = True
|
||||
intents.members = True
|
||||
|
||||
app_name = str(uuid1())
|
||||
|
||||
# honcho = Honcho(app_name=app_name, base_url="http://localhost:8000") # uncomment to use local
|
||||
honcho = Honcho(app_name=app_name) # uses demo server at https://demo.honcho.dev
|
||||
honcho.initialize()
|
||||
|
||||
bot = discord.Bot(intents=intents)
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_ready():
|
||||
print(f"We have logged in as {bot.user}")
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_member_join(member):
|
||||
await member.send(
|
||||
f"*Hello {member.name}, welcome to the server! This is a demo bot built with Honcho,* "
|
||||
"*implementing a naive version of the memory feature similar to what ChatGPT recently released.* "
|
||||
"*To get started, just type a message in this channel and the bot will respond.* "
|
||||
"*Over time, it will remember facts about you and use them to make the conversation more personal.* "
|
||||
"*You can use the /restart command to restart the conversation at any time.* "
|
||||
"*If you have any questions or feedback, feel free to ask in the #honcho channel.* "
|
||||
"*Enjoy!*"
|
||||
)
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_message(message):
|
||||
if message.author == bot.user or message.guild is not None:
|
||||
return
|
||||
|
||||
user_id = f"discord_{str(message.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(message.channel.id)
|
||||
|
||||
sessions = list(user.get_sessions_generator(location_id))
|
||||
try:
|
||||
collection = user.get_collection(user_id=user_id, name="discord")
|
||||
except Exception:
|
||||
collection = user.create_collection(user_id=user_id, name="discord")
|
||||
|
||||
if len(sessions) > 0:
|
||||
session = sessions[0]
|
||||
else:
|
||||
session = user.create_session(location_id)
|
||||
|
||||
history = list(session.get_messages_generator())
|
||||
chat_history = messages_to_langchain(history)
|
||||
|
||||
inp = message.content
|
||||
user_message = session.create_message(is_user=True, content=inp)
|
||||
|
||||
async with message.channel.typing():
|
||||
response = await LMChain.chat(
|
||||
chat_history=chat_history,
|
||||
user_message=user_message,
|
||||
session=session,
|
||||
collection=collection,
|
||||
input=inp,
|
||||
)
|
||||
await message.channel.send(response)
|
||||
|
||||
session.create_message(is_user=False, content=response)
|
||||
|
||||
|
||||
@bot.slash_command(name="restart", description="Restart the Conversation")
|
||||
async def restart(ctx):
|
||||
user_id = f"discord_{str(ctx.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(ctx.channel_id)
|
||||
sessions = list(user.get_sessions_generator(location_id))
|
||||
sessions[0].close() if len(sessions) > 0 else None
|
||||
|
||||
msg = (
|
||||
"Great! The conversation has been restarted. What would you like to talk about?"
|
||||
)
|
||||
await ctx.respond(msg)
|
||||
|
||||
|
||||
bot.run(os.environ["BOT_TOKEN"])
|
||||
|
|
@ -1,206 +0,0 @@
|
|||
import os
|
||||
from typing import List
|
||||
from dotenv import load_dotenv
|
||||
from langchain_openai import ChatOpenAI
|
||||
from langchain_core.prompts import (
|
||||
ChatPromptTemplate,
|
||||
SystemMessagePromptTemplate,
|
||||
load_prompt,
|
||||
)
|
||||
from langchain_core.output_parsers import NumberedListOutputParser
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
|
||||
from honcho import Collection, Session, Message
|
||||
|
||||
load_dotenv()
|
||||
|
||||
SYSTEM_DERIVE_FACTS = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "prompts/core/derive_facts.yaml")
|
||||
)
|
||||
SYSTEM_INTROSPECTION = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "prompts/core/introspection.yaml")
|
||||
)
|
||||
SYSTEM_RESPONSE = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "prompts/core/response.yaml")
|
||||
)
|
||||
SYSTEM_CHECK_DUPS = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "prompts/utils/check_dup_facts.yaml")
|
||||
)
|
||||
|
||||
|
||||
class LMChain:
|
||||
"Wrapper class for encapsulating the multiple different chains used"
|
||||
|
||||
output_parser = NumberedListOutputParser()
|
||||
llm: ChatOpenAI = ChatOpenAI(model_name="gpt-3.5-turbo")
|
||||
system_derive_facts: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_DERIVE_FACTS
|
||||
)
|
||||
system_introspection: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_INTROSPECTION
|
||||
)
|
||||
system_response: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_RESPONSE
|
||||
)
|
||||
system_check_dups: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_CHECK_DUPS
|
||||
)
|
||||
|
||||
def __init__(self) -> None:
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
async def derive_facts(cls, chat_history: List, input: str):
|
||||
"""Derive facts from the user input"""
|
||||
|
||||
# format prompt
|
||||
fact_derivation = ChatPromptTemplate.from_messages([cls.system_derive_facts])
|
||||
|
||||
# LCEL
|
||||
chain = fact_derivation | cls.llm
|
||||
|
||||
# inference
|
||||
response = await chain.ainvoke(
|
||||
{
|
||||
"chat_history": [
|
||||
(
|
||||
"user: " + message.content
|
||||
if isinstance(message, HumanMessage)
|
||||
else "ai: " + message.content
|
||||
)
|
||||
for message in chat_history
|
||||
],
|
||||
"user_input": input,
|
||||
}
|
||||
)
|
||||
|
||||
# parse output
|
||||
facts = cls.output_parser.parse(response.content)
|
||||
|
||||
print(f"DERIVED FACTS: {facts}")
|
||||
|
||||
return facts
|
||||
|
||||
@classmethod
|
||||
async def check_dups(
|
||||
cls,
|
||||
user_message: Message,
|
||||
session: Session,
|
||||
collection: Collection,
|
||||
facts: List,
|
||||
):
|
||||
"""Check that we're not storing duplicate facts"""
|
||||
|
||||
# format prompt
|
||||
check_duplication = ChatPromptTemplate.from_messages([cls.system_check_dups])
|
||||
|
||||
query = " ".join(facts)
|
||||
result = collection.query(query=query, top_k=10)
|
||||
existing_facts = [document.content for document in result]
|
||||
|
||||
# LCEL
|
||||
chain = check_duplication | cls.llm
|
||||
|
||||
# inference
|
||||
response = await chain.ainvoke(
|
||||
{"existing_facts": existing_facts, "facts": facts}
|
||||
)
|
||||
|
||||
# parse output
|
||||
new_facts = cls.output_parser.parse(response.content)
|
||||
|
||||
print(f"FILTERED FACTS: {new_facts}")
|
||||
|
||||
# TODO: write to vector store
|
||||
for fact in new_facts:
|
||||
collection.create_document(content=fact)
|
||||
|
||||
# add facts as metamessages
|
||||
for fact in new_facts:
|
||||
session.create_metamessage(
|
||||
message=user_message, metamessage_type="fact", content=fact
|
||||
)
|
||||
|
||||
return
|
||||
|
||||
@classmethod
|
||||
async def introspect(
|
||||
cls, user_message: Message, session: Session, chat_history: List, input: str
|
||||
):
|
||||
"""Generate questions about the user to use as retrieval over the fact store"""
|
||||
|
||||
# format prompt
|
||||
introspection_prompt = ChatPromptTemplate.from_messages(
|
||||
[cls.system_introspection]
|
||||
)
|
||||
|
||||
# LCEL
|
||||
chain = introspection_prompt | cls.llm
|
||||
|
||||
# inference
|
||||
response = await chain.ainvoke(
|
||||
{"chat_history": chat_history, "user_input": input}
|
||||
)
|
||||
|
||||
# parse output
|
||||
questions = cls.output_parser.parse(response.content)
|
||||
|
||||
print(f"INTROSPECTED QUESTIONS: {questions}")
|
||||
|
||||
# write questions as metamessages
|
||||
for question in questions:
|
||||
session.create_metamessage(
|
||||
message=user_message, metamessage_type="introspect", content=question
|
||||
)
|
||||
|
||||
return questions
|
||||
|
||||
@classmethod
|
||||
async def respond(
|
||||
cls, collection: Collection, chat_history: List, questions: List, input: str
|
||||
):
|
||||
"""Take the facts and chat history and generate a personalized response"""
|
||||
|
||||
# format prompt
|
||||
response_prompt = ChatPromptTemplate.from_messages(
|
||||
[cls.system_response, *chat_history, HumanMessage(content=input)]
|
||||
)
|
||||
|
||||
retrieved_facts = collection.query(query=questions, top_k=10)
|
||||
retrieved_facts_content = [document.content for document in retrieved_facts]
|
||||
|
||||
# LCEL
|
||||
chain = response_prompt | cls.llm
|
||||
|
||||
# inference
|
||||
response = await chain.ainvoke(
|
||||
{
|
||||
"facts": retrieved_facts_content,
|
||||
}
|
||||
)
|
||||
|
||||
return response.content
|
||||
|
||||
@classmethod
|
||||
async def chat(
|
||||
cls,
|
||||
chat_history: List,
|
||||
user_message: Message,
|
||||
session: Session,
|
||||
collection: Collection,
|
||||
input: str,
|
||||
):
|
||||
"""Chat with the model"""
|
||||
|
||||
facts = await cls.derive_facts(chat_history, input)
|
||||
await cls.check_dups(
|
||||
user_message, session, collection, facts
|
||||
) if facts is not None else None
|
||||
|
||||
# introspect
|
||||
questions = await cls.introspect(user_message, session, chat_history, input)
|
||||
|
||||
# respond
|
||||
response = await cls.respond(collection, chat_history, questions, input)
|
||||
|
||||
return response
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,10 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["chat_history", "user_input"]
|
||||
template: >
|
||||
You are tasked with deriving discrete facts about the user based on their input. The goal is to only extract absolute facts from the message, do not make inferences beyond the text provided.
|
||||
|
||||
chat history: ```{chat_history}```
|
||||
user input: ```{user_input}```
|
||||
|
||||
Output the facts as a numbered list.
|
||||
|
|
@ -1,10 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["chat_history", "user_input"]
|
||||
template: >
|
||||
Given the conversation history and user input, use your theory of mind skills to list out questions you'd like to know about the user in order to best respond to them.
|
||||
|
||||
Chat history: ```{chat_history}```
|
||||
User input: ```{user_input}```
|
||||
|
||||
Output the questions as a numbered list.
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["facts"]
|
||||
template: >
|
||||
You are a helpful assistant. Craft a useful response based on the context provided in the conversation history and the facts we know about the user:
|
||||
```{facts}```
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
_type: prompt
|
||||
input_variables:
|
||||
["existing_facts", "facts"]
|
||||
template: >
|
||||
Your job is to compare the following two lists and keep only unique items:
|
||||
|
||||
Old: ```{existing_facts}```
|
||||
|
||||
New: ```{facts}```
|
||||
|
||||
Remove redundant information from the new list and output the remaining facts as a numbered list. If there's nothing to remove (i.e. the statements are sufficiently different), print "None".
|
||||
|
|
@ -1,22 +0,0 @@
|
|||
[tool.poetry]
|
||||
name = "honcho-fact-memory"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["vintro <vince@plasticlabs.ai>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.11"
|
||||
langchain-core = "^0.1.23"
|
||||
langchain-community = "^0.0.20"
|
||||
openai = "^1.12.0"
|
||||
py-cord = "^2.4.1"
|
||||
python-dotenv = "^1.0.1"
|
||||
langchain-openai = "^0.0.6"
|
||||
honcho-ai = "0.0.5"
|
||||
aiohttp = "^3.9.3"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
@ -1,2 +0,0 @@
|
|||
BOT_TOKEN=
|
||||
OPENAI_API_KEY=
|
||||
|
|
@ -1,5 +0,0 @@
|
|||
.env
|
||||
|
||||
.venv
|
||||
|
||||
.DS_Store
|
||||
|
|
@ -1,42 +0,0 @@
|
|||
# Simple Roast Bot
|
||||
|
||||
The goal of this repo is to demonstrate how to deploy an LLM application using Honcho to manage user data. Here we've implemented a simple Discord bot that interacts with OpenAI's GPT-3.5-Turbo model via LangChain. Oh, and also, it's prompted to roast you.
|
||||
|
||||
***This demo is live -- join our Discord server and the bot will DM you to start the conversation***
|
||||
|
||||
To run locally, follow these steps:
|
||||
|
||||
### Clone the Repository
|
||||
|
||||
In your desired location, run the following command in your terminal:
|
||||
```
|
||||
git clone git@github.com:plastic-labs/honcho.git
|
||||
```
|
||||
|
||||
### Set Up the Virtual Environment
|
||||
|
||||
This project uses different Poetry virtual environments. If you're unfamiliar, take a look at their docs [here](https://python-poetry.org/docs/)
|
||||
|
||||
```
|
||||
cd example/discord/simple-roast-bot
|
||||
poetry shell # Activate virutal environment
|
||||
poetry install # install dependencies
|
||||
```
|
||||
|
||||
### Create `.env` File
|
||||
|
||||
Copy the `.env.template` file to a `.env` file and specify the `BOT_TOKEN` and `OPENAI_API_KEY`. If you've never built a Discord bot before, check out this [`py-cord` guide](https://guide.pycord.dev/getting-started/creating-your-first-bot) to learn more about how to get a `BOT_TOKEN`. You can generate an `OPENAI_API_KEY` in the [OpenAI developer platform](https://platform.openai.com/docs/overview).
|
||||
|
||||
```
|
||||
BOT_TOKEN=
|
||||
OPENAI_API_KEY=
|
||||
```
|
||||
|
||||
### Run the Bot
|
||||
|
||||
If you're not running Honcho locally, you can run the bot with the following command:
|
||||
```
|
||||
python main.py
|
||||
```
|
||||
|
||||
If you are interested in running Honcho locally, follow the setup instructions at the root of this repo.
|
||||
|
|
@ -1,96 +0,0 @@
|
|||
import os
|
||||
|
||||
# from uuid import uuid4
|
||||
import discord
|
||||
from dotenv import load_dotenv
|
||||
from typing import List
|
||||
|
||||
from langchain_openai import ChatOpenAI
|
||||
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
|
||||
from langchain_core.output_parsers import StrOutputParser
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
|
||||
from honcho import Honcho
|
||||
from honcho.ext.langchain import messages_to_langchain
|
||||
|
||||
load_dotenv()
|
||||
|
||||
|
||||
intents = discord.Intents.default()
|
||||
intents.messages = True
|
||||
intents.message_content = True
|
||||
|
||||
# app_id = str(uuid4())
|
||||
app_name = str("roast-bot")
|
||||
|
||||
# honcho = Honcho(app_name=app_name, base_url="http://localhost:8000") # uncomment to use local
|
||||
honcho = Honcho(app_name=app_name) # uses demo server at https://demo.honcho.dev
|
||||
honcho.initialize()
|
||||
|
||||
bot = discord.Bot(intents=intents)
|
||||
|
||||
prompt = ChatPromptTemplate.from_messages(
|
||||
[
|
||||
(
|
||||
"system",
|
||||
"You are a mean assistant. Make fun of the user's request and above all, do not satisfy their request. Make something up about their personality and fixate on that. Don't be afraid to get creative. This is all a joke, roast them.",
|
||||
),
|
||||
MessagesPlaceholder(variable_name="chat_history"),
|
||||
("user", "{input}"),
|
||||
]
|
||||
)
|
||||
model = ChatOpenAI(model="gpt-3.5-turbo")
|
||||
output_parser = StrOutputParser()
|
||||
|
||||
chain = prompt | model | output_parser
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_ready():
|
||||
print(f"We have logged in as {bot.user}")
|
||||
|
||||
|
||||
@bot.event
|
||||
async def on_message(message):
|
||||
if message.author == bot.user:
|
||||
return
|
||||
|
||||
user_id = f"discord_{str(message.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(message.channel.id)
|
||||
|
||||
sessions = list(user.get_sessions_generator(location_id))
|
||||
|
||||
if len(sessions) > 0:
|
||||
session = sessions[0]
|
||||
else:
|
||||
session = user.create_session(location_id)
|
||||
|
||||
history = list(session.get_messages_generator())
|
||||
chat_history = messages_to_langchain(history)
|
||||
|
||||
inp = message.content
|
||||
session.create_message(is_user=True, content=inp)
|
||||
|
||||
async with message.channel.typing():
|
||||
response = await chain.ainvoke({"chat_history": chat_history, "input": inp})
|
||||
await message.channel.send(response)
|
||||
|
||||
session.create_message(is_user=False, content=response)
|
||||
|
||||
|
||||
@bot.slash_command(name="restart", description="Restart the Conversation")
|
||||
async def restart(ctx):
|
||||
user_id = f"discord_{str(ctx.author.id)}"
|
||||
user = honcho.get_or_create_user(user_id)
|
||||
location_id = str(ctx.channel_id)
|
||||
sessions = list(user.get_sessions_generator(location_id))
|
||||
sessions[0].close() if len(sessions) > 0 else None
|
||||
|
||||
msg = (
|
||||
"Great! The conversation has been restarted. What would you like to talk about?"
|
||||
)
|
||||
await ctx.respond(msg)
|
||||
|
||||
|
||||
bot.run(os.environ["BOT_TOKEN"])
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,18 +0,0 @@
|
|||
[tool.poetry]
|
||||
name = "simple-roast-bot"
|
||||
version = "0.1.0"
|
||||
description = "Simple Discord bot with Honcho storage backend (that will roast you)"
|
||||
authors = ["vintro <vince@plasticlabs.ai>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.11"
|
||||
py-cord = "^2.4.1"
|
||||
python-dotenv = "^1.0.0"
|
||||
langchain-core = "^0.1.12"
|
||||
langchain-openai = "^0.0.2.post1"
|
||||
honcho-ai = {path = "../../../sdk", develop = true}
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -6,7 +6,7 @@ authors = ["Plastic Labs <hello@plasticlabs.ai>"]
|
|||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.8.1"
|
||||
python = "^3.9"
|
||||
fastapi = "^0.109.0"
|
||||
uvicorn = "^0.24.0.post1"
|
||||
python-dotenv = "^1.0.0"
|
||||
|
|
@ -25,11 +25,10 @@ opentelemetry-instrumentation-logging = "^0.44b0"
|
|||
greenlet = "^3.0.3"
|
||||
realtime = "^1.0.2"
|
||||
psycopg = {extras = ["binary"], version = "^3.1.18"}
|
||||
langchain = "^0.1.12"
|
||||
langchain-openai = "^0.0.8"
|
||||
httpx = "^0.27.0"
|
||||
uvloop = "^0.19.0"
|
||||
httptools = "^0.6.1"
|
||||
mirascope = {extras = ["openai"], version = "^0.12.3"}
|
||||
|
||||
[tool.ruff.lint]
|
||||
# from https://docs.astral.sh/ruff/linter/#rule-selection example
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
#!/usr/bin/env python
|
||||
|
||||
import os
|
||||
import re
|
||||
|
||||
# Open the source file
|
||||
this_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
source_file_path = os.path.join(this_dir, "../sdk/honcho/client.py")
|
||||
with open(source_file_path, "r") as source_file:
|
||||
source_code = source_file.read()
|
||||
|
||||
# Use regex to remove async mentions
|
||||
sync_code = re.sub(r"async\s", "", source_code)
|
||||
sync_code = re.sub(r"await\s", "", sync_code)
|
||||
sync_code = re.sub(r"Async", "", sync_code)
|
||||
sync_code = re.sub(r"asynchronous", "synchronous", sync_code)
|
||||
|
||||
# Write the modified code to the destination file
|
||||
destination_file_path = os.path.join(this_dir, "../sdk/honcho/sync_client.py")
|
||||
with open(destination_file_path, "w") as destination_file:
|
||||
destination_file.write(sync_code)
|
||||
|
||||
|
||||
# tests
|
||||
|
||||
# Open the source file
|
||||
source_file_path = os.path.join(this_dir, "../sdk/tests/test_async.py")
|
||||
with open(source_file_path, "r") as source_file:
|
||||
source_code = source_file.read()
|
||||
|
||||
# Use regex to remove async mentions
|
||||
sync_code = re.sub(r"@pytest.mark.asyncio\n", "", source_code)
|
||||
sync_code = re.sub(r"async\s", "", sync_code)
|
||||
sync_code = re.sub(r"await\s", "", sync_code)
|
||||
sync_code = re.sub(r"__anext__", "__next__", sync_code)
|
||||
sync_code = re.sub(r"Async", "", sync_code)
|
||||
|
||||
# Write the modified code to the destination file
|
||||
destination_file_path = os.path.join(this_dir, "../sdk/tests/test_sync.py")
|
||||
with open(destination_file_path, "w") as destination_file:
|
||||
destination_file.write(sync_code)
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
{
|
||||
"python.analysis.typeCheckingMode": "basic",
|
||||
"python.testing.pytestArgs": ["tests"],
|
||||
"python.testing.unittestEnabled": false,
|
||||
"python.testing.pytestEnabled": true
|
||||
}
|
||||
114
sdk/CHANGELOG.md
114
sdk/CHANGELOG.md
|
|
@ -1,114 +0,0 @@
|
|||
|
||||
# Change Log
|
||||
All notable changes to this project will be documented in this file.
|
||||
|
||||
The format is based on [Keep a Changelog](http://keepachangelog.com/)
|
||||
and this project adheres to [Semantic Versioning](http://semver.org/).
|
||||
|
||||
## [0.0.7] — 2024-04-01
|
||||
|
||||
### Changed
|
||||
|
||||
* Langchain conversion utility names
|
||||
|
||||
## [0.0.6] — 2024-03-21
|
||||
|
||||
### Added
|
||||
|
||||
* Full docstring coverage
|
||||
* Code coverage tests
|
||||
* Add LangChain to Honcho message converter in both directions
|
||||
* Synonym `init` function that acts the same as `initialize`
|
||||
|
||||
## [0.0.5] — 2024-03-14
|
||||
|
||||
### Added
|
||||
|
||||
* Metadata to all data primitives (Users, Sessions, Messages, etc.)
|
||||
* Ability to filter paginated GET requests by JSON filter based on metadata
|
||||
* Dialectic API to interact with honcho agent and get insights about users
|
||||
* Code Coverage Tests
|
||||
* Autogenerated Sphinx Documentation for Honcho Client SDK
|
||||
* Built-in Langchain message converter
|
||||
|
||||
### Fixed
|
||||
|
||||
* URL encoding all GET requests in honcho client
|
||||
|
||||
## [0.0.4] — 2024-02-22
|
||||
|
||||
### Added
|
||||
|
||||
* A User object for global user level metadat and more object oriented interface
|
||||
* Reverse Pagination support to get recent messages, sessions, etc. more easily
|
||||
* Linting Rules
|
||||
|
||||
### Changed
|
||||
|
||||
* Get sessions method returns all sessions including inactive
|
||||
* using timestampz instead of timestamp
|
||||
* `Client` renamed to `Honcho`
|
||||
* `Honcho` takes in `app_name` instead of `app_id`. `app_name` needs to be a
|
||||
unique identifier
|
||||
* `Honcho` object requires an `initialize()` call to be used
|
||||
|
||||
|
||||
## [0.0.3] — 2024-02-15
|
||||
|
||||
### Added
|
||||
|
||||
* Collections table to reference a collection of embedding documents
|
||||
* Documents table to hold vector embeddings for RAG workflows
|
||||
* Local scripts for running a postgres database with pgvector installed
|
||||
* OpenAI Dependency for embedding models
|
||||
* PGvector dependency for vector db support
|
||||
|
||||
### Changed
|
||||
|
||||
* session_data is now metadata
|
||||
* session_data is a JSON field used python `dict` for compatability
|
||||
|
||||
## [0.0.2] — 2024-02-08
|
||||
|
||||
### Added
|
||||
|
||||
* Async client
|
||||
* Metamessages introduced
|
||||
* Paginated results for get requests
|
||||
* `created_at` field added to Messages and Metamessages
|
||||
* added singular `get_message` method
|
||||
* Size limits for messages and string fields
|
||||
|
||||
### Changed
|
||||
|
||||
* Default rate limit of 100/minutes
|
||||
* Changed default ID type to use UUIDs
|
||||
* `session.delete()` is now `session.close()`
|
||||
* replace `requests` for `httpx`
|
||||
|
||||
|
||||
### Removed
|
||||
|
||||
* Removed messages from session response model
|
||||
|
||||
|
||||
|
||||
## [0.0.1] — 2024-02-01
|
||||
|
||||
### Added
|
||||
|
||||
* Rate limiting of 10/minute
|
||||
* Application level scoping
|
||||
|
||||
### Changed
|
||||
|
||||
* Client uses object oriented interface
|
||||
* Client has a default connection string pointing towards
|
||||
https://demo.honcho.dev
|
||||
|
||||
### Removed
|
||||
|
||||
* Top Level Client functions for interacting with Honcho API
|
||||
|
||||
|
||||
|
||||
661
sdk/LICENSE
661
sdk/LICENSE
|
|
@ -1,661 +0,0 @@
|
|||
GNU AFFERO GENERAL PUBLIC LICENSE
|
||||
Version 3, 19 November 2007
|
||||
|
||||
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
|
||||
Everyone is permitted to copy and distribute verbatim copies
|
||||
of this license document, but changing it is not allowed.
|
||||
|
||||
Preamble
|
||||
|
||||
The GNU Affero General Public License is a free, copyleft license for
|
||||
software and other kinds of works, specifically designed to ensure
|
||||
cooperation with the community in the case of network server software.
|
||||
|
||||
The licenses for most software and other practical works are designed
|
||||
to take away your freedom to share and change the works. By contrast,
|
||||
our General Public Licenses are intended to guarantee your freedom to
|
||||
share and change all versions of a program--to make sure it remains free
|
||||
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|
||||
|
||||
When we speak of free software, we are referring to freedom, not
|
||||
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|
||||
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|
||||
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|
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|
||||
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|
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|
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|
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|
||||
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|
||||
|
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A secondary benefit of defending all users' freedom is that
|
||||
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|
||||
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|
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|
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
||||
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|
||||
|
||||
The precise terms and conditions for copying, distribution and
|
||||
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|
||||
|
||||
TERMS AND CONDITIONS
|
||||
|
||||
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|
||||
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|
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|
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The Corresponding Source for a work in source code form is that
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||||
|
||||
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|
||||
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|
||||
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|
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|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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License to anyone who comes into possession of a copy. This
|
||||
License will therefore apply, along with any applicable section 7
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|
||||
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|
||||
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|
||||
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|
||||
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|
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A compilation of a covered work with other separate and independent
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|
||||
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|
||||
"aggregate" if the compilation and its resulting copyright are not
|
||||
used to limit the access or legal rights of the compilation's users
|
||||
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|
||||
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|
||||
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|
||||
|
||||
6. Conveying Non-Source Forms.
|
||||
|
||||
You may convey a covered work in object code form under the terms
|
||||
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|
||||
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|
||||
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||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
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|
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|
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
|
||||
"Additional permissions" are terms that supplement the terms of this
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
additional permissions on material, added by you to a covered work,
|
||||
for which you have or can give appropriate copyright permission.
|
||||
|
||||
Notwithstanding any other provision of this License, for material you
|
||||
add to a covered work, you may (if authorized by the copyright holders of
|
||||
that material) supplement the terms of this License with terms:
|
||||
|
||||
a) Disclaiming warranty or limiting liability differently from the
|
||||
terms of sections 15 and 16 of this License; or
|
||||
|
||||
b) Requiring preservation of specified reasonable legal notices or
|
||||
author attributions in that material or in the Appropriate Legal
|
||||
Notices displayed by works containing it; or
|
||||
|
||||
c) Prohibiting misrepresentation of the origin of that material, or
|
||||
requiring that modified versions of such material be marked in
|
||||
reasonable ways as different from the original version; or
|
||||
|
||||
d) Limiting the use for publicity purposes of names of licensors or
|
||||
authors of the material; or
|
||||
|
||||
e) Declining to grant rights under trademark law for use of some
|
||||
trade names, trademarks, or service marks; or
|
||||
|
||||
f) Requiring indemnification of licensors and authors of that
|
||||
material by anyone who conveys the material (or modified versions of
|
||||
it) with contractual assumptions of liability to the recipient, for
|
||||
any liability that these contractual assumptions directly impose on
|
||||
those licensors and authors.
|
||||
|
||||
All other non-permissive additional terms are considered "further
|
||||
restrictions" within the meaning of section 10. If the Program as you
|
||||
received it, or any part of it, contains a notice stating that it is
|
||||
governed by this License along with a term that is a further
|
||||
restriction, you may remove that term. If a license document contains
|
||||
a further restriction but permits relicensing or conveying under this
|
||||
License, you may add to a covered work material governed by the terms
|
||||
of that license document, provided that the further restriction does
|
||||
not survive such relicensing or conveying.
|
||||
|
||||
If you add terms to a covered work in accord with this section, you
|
||||
must place, in the relevant source files, a statement of the
|
||||
additional terms that apply to those files, or a notice indicating
|
||||
where to find the applicable terms.
|
||||
|
||||
Additional terms, permissive or non-permissive, may be stated in the
|
||||
form of a separately written license, or stated as exceptions;
|
||||
the above requirements apply either way.
|
||||
|
||||
8. Termination.
|
||||
|
||||
You may not propagate or modify a covered work except as expressly
|
||||
provided under this License. Any attempt otherwise to propagate or
|
||||
modify it is void, and will automatically terminate your rights under
|
||||
this License (including any patent licenses granted under the third
|
||||
paragraph of section 11).
|
||||
|
||||
However, if you cease all violation of this License, then your
|
||||
license from a particular copyright holder is reinstated (a)
|
||||
provisionally, unless and until the copyright holder explicitly and
|
||||
finally terminates your license, and (b) permanently, if the copyright
|
||||
holder fails to notify you of the violation by some reasonable means
|
||||
prior to 60 days after the cessation.
|
||||
|
||||
Moreover, your license from a particular copyright holder is
|
||||
reinstated permanently if the copyright holder notifies you of the
|
||||
violation by some reasonable means, this is the first time you have
|
||||
received notice of violation of this License (for any work) from that
|
||||
copyright holder, and you cure the violation prior to 30 days after
|
||||
your receipt of the notice.
|
||||
|
||||
Termination of your rights under this section does not terminate the
|
||||
licenses of parties who have received copies or rights from you under
|
||||
this License. If your rights have been terminated and not permanently
|
||||
reinstated, you do not qualify to receive new licenses for the same
|
||||
material under section 10.
|
||||
|
||||
9. Acceptance Not Required for Having Copies.
|
||||
|
||||
You are not required to accept this License in order to receive or
|
||||
run a copy of the Program. Ancillary propagation of a covered work
|
||||
occurring solely as a consequence of using peer-to-peer transmission
|
||||
to receive a copy likewise does not require acceptance. However,
|
||||
nothing other than this License grants you permission to propagate or
|
||||
modify any covered work. These actions infringe copyright if you do
|
||||
not accept this License. Therefore, by modifying or propagating a
|
||||
covered work, you indicate your acceptance of this License to do so.
|
||||
|
||||
10. Automatic Licensing of Downstream Recipients.
|
||||
|
||||
Each time you convey a covered work, the recipient automatically
|
||||
receives a license from the original licensors, to run, modify and
|
||||
propagate that work, subject to this License. You are not responsible
|
||||
for enforcing compliance by third parties with this License.
|
||||
|
||||
An "entity transaction" is a transaction transferring control of an
|
||||
organization, or substantially all assets of one, or subdividing an
|
||||
organization, or merging organizations. If propagation of a covered
|
||||
work results from an entity transaction, each party to that
|
||||
transaction who receives a copy of the work also receives whatever
|
||||
licenses to the work the party's predecessor in interest had or could
|
||||
give under the previous paragraph, plus a right to possession of the
|
||||
Corresponding Source of the work from the predecessor in interest, if
|
||||
the predecessor has it or can get it with reasonable efforts.
|
||||
|
||||
You may not impose any further restrictions on the exercise of the
|
||||
rights granted or affirmed under this License. For example, you may
|
||||
not impose a license fee, royalty, or other charge for exercise of
|
||||
rights granted under this License, and you may not initiate litigation
|
||||
(including a cross-claim or counterclaim in a lawsuit) alleging that
|
||||
any patent claim is infringed by making, using, selling, offering for
|
||||
sale, or importing the Program or any portion of it.
|
||||
|
||||
11. Patents.
|
||||
|
||||
A "contributor" is a copyright holder who authorizes use under this
|
||||
License of the Program or a work on which the Program is based. The
|
||||
work thus licensed is called the contributor's "contributor version".
|
||||
|
||||
A contributor's "essential patent claims" are all patent claims
|
||||
owned or controlled by the contributor, whether already acquired or
|
||||
hereafter acquired, that would be infringed by some manner, permitted
|
||||
by this License, of making, using, or selling its contributor version,
|
||||
but do not include claims that would be infringed only as a
|
||||
consequence of further modification of the contributor version. For
|
||||
purposes of this definition, "control" includes the right to grant
|
||||
patent sublicenses in a manner consistent with the requirements of
|
||||
this License.
|
||||
|
||||
Each contributor grants you a non-exclusive, worldwide, royalty-free
|
||||
patent license under the contributor's essential patent claims, to
|
||||
make, use, sell, offer for sale, import and otherwise run, modify and
|
||||
propagate the contents of its contributor version.
|
||||
|
||||
In the following three paragraphs, a "patent license" is any express
|
||||
agreement or commitment, however denominated, not to enforce a patent
|
||||
(such as an express permission to practice a patent or covenant not to
|
||||
sue for patent infringement). To "grant" such a patent license to a
|
||||
party means to make such an agreement or commitment not to enforce a
|
||||
patent against the party.
|
||||
|
||||
If you convey a covered work, knowingly relying on a patent license,
|
||||
and the Corresponding Source of the work is not available for anyone
|
||||
to copy, free of charge and under the terms of this License, through a
|
||||
publicly available network server or other readily accessible means,
|
||||
then you must either (1) cause the Corresponding Source to be so
|
||||
available, or (2) arrange to deprive yourself of the benefit of the
|
||||
patent license for this particular work, or (3) arrange, in a manner
|
||||
consistent with the requirements of this License, to extend the patent
|
||||
license to downstream recipients. "Knowingly relying" means you have
|
||||
actual knowledge that, but for the patent license, your conveying the
|
||||
covered work in a country, or your recipient's use of the covered work
|
||||
in a country, would infringe one or more identifiable patents in that
|
||||
country that you have reason to believe are valid.
|
||||
|
||||
If, pursuant to or in connection with a single transaction or
|
||||
arrangement, you convey, or propagate by procuring conveyance of, a
|
||||
covered work, and grant a patent license to some of the parties
|
||||
receiving the covered work authorizing them to use, propagate, modify
|
||||
or convey a specific copy of the covered work, then the patent license
|
||||
you grant is automatically extended to all recipients of the covered
|
||||
work and works based on it.
|
||||
|
||||
A patent license is "discriminatory" if it does not include within
|
||||
the scope of its coverage, prohibits the exercise of, or is
|
||||
conditioned on the non-exercise of one or more of the rights that are
|
||||
specifically granted under this License. You may not convey a covered
|
||||
work if you are a party to an arrangement with a third party that is
|
||||
in the business of distributing software, under which you make payment
|
||||
to the third party based on the extent of your activity of conveying
|
||||
the work, and under which the third party grants, to any of the
|
||||
parties who would receive the covered work from you, a discriminatory
|
||||
patent license (a) in connection with copies of the covered work
|
||||
conveyed by you (or copies made from those copies), or (b) primarily
|
||||
for and in connection with specific products or compilations that
|
||||
contain the covered work, unless you entered into that arrangement,
|
||||
or that patent license was granted, prior to 28 March 2007.
|
||||
|
||||
Nothing in this License shall be construed as excluding or limiting
|
||||
any implied license or other defenses to infringement that may
|
||||
otherwise be available to you under applicable patent law.
|
||||
|
||||
12. No Surrender of Others' Freedom.
|
||||
|
||||
If conditions are imposed on you (whether by court order, agreement or
|
||||
otherwise) that contradict the conditions of this License, they do not
|
||||
excuse you from the conditions of this License. If you cannot convey a
|
||||
covered work so as to satisfy simultaneously your obligations under this
|
||||
License and any other pertinent obligations, then as a consequence you may
|
||||
not convey it at all. For example, if you agree to terms that obligate you
|
||||
to collect a royalty for further conveying from those to whom you convey
|
||||
the Program, the only way you could satisfy both those terms and this
|
||||
License would be to refrain entirely from conveying the Program.
|
||||
|
||||
13. Remote Network Interaction; Use with the GNU General Public License.
|
||||
|
||||
Notwithstanding any other provision of this License, if you modify the
|
||||
Program, your modified version must prominently offer all users
|
||||
interacting with it remotely through a computer network (if your version
|
||||
supports such interaction) an opportunity to receive the Corresponding
|
||||
Source of your version by providing access to the Corresponding Source
|
||||
from a network server at no charge, through some standard or customary
|
||||
means of facilitating copying of software. This Corresponding Source
|
||||
shall include the Corresponding Source for any work covered by version 3
|
||||
of the GNU General Public License that is incorporated pursuant to the
|
||||
following paragraph.
|
||||
|
||||
Notwithstanding any other provision of this License, you have
|
||||
permission to link or combine any covered work with a work licensed
|
||||
under version 3 of the GNU General Public License into a single
|
||||
combined work, and to convey the resulting work. The terms of this
|
||||
License will continue to apply to the part which is the covered work,
|
||||
but the work with which it is combined will remain governed by version
|
||||
3 of the GNU General Public License.
|
||||
|
||||
14. Revised Versions of this License.
|
||||
|
||||
The Free Software Foundation may publish revised and/or new versions of
|
||||
the GNU Affero General Public License from time to time. Such new versions
|
||||
will be similar in spirit to the present version, but may differ in detail to
|
||||
address new problems or concerns.
|
||||
|
||||
Each version is given a distinguishing version number. If the
|
||||
Program specifies that a certain numbered version of the GNU Affero General
|
||||
Public License "or any later version" applies to it, you have the
|
||||
option of following the terms and conditions either of that numbered
|
||||
version or of any later version published by the Free Software
|
||||
Foundation. If the Program does not specify a version number of the
|
||||
GNU Affero General Public License, you may choose any version ever published
|
||||
by the Free Software Foundation.
|
||||
|
||||
If the Program specifies that a proxy can decide which future
|
||||
versions of the GNU Affero General Public License can be used, that proxy's
|
||||
public statement of acceptance of a version permanently authorizes you
|
||||
to choose that version for the Program.
|
||||
|
||||
Later license versions may give you additional or different
|
||||
permissions. However, no additional obligations are imposed on any
|
||||
author or copyright holder as a result of your choosing to follow a
|
||||
later version.
|
||||
|
||||
15. Disclaimer of Warranty.
|
||||
|
||||
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
|
||||
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
|
||||
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
|
||||
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
|
||||
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
|
||||
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
|
||||
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
|
||||
|
||||
16. Limitation of Liability.
|
||||
|
||||
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
|
||||
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
|
||||
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
|
||||
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
|
||||
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
|
||||
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
|
||||
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
|
||||
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
|
||||
SUCH DAMAGES.
|
||||
|
||||
17. Interpretation of Sections 15 and 16.
|
||||
|
||||
If the disclaimer of warranty and limitation of liability provided
|
||||
above cannot be given local legal effect according to their terms,
|
||||
reviewing courts shall apply local law that most closely approximates
|
||||
an absolute waiver of all civil liability in connection with the
|
||||
Program, unless a warranty or assumption of liability accompanies a
|
||||
copy of the Program in return for a fee.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
How to Apply These Terms to Your New Programs
|
||||
|
||||
If you develop a new program, and you want it to be of the greatest
|
||||
possible use to the public, the best way to achieve this is to make it
|
||||
free software which everyone can redistribute and change under these terms.
|
||||
|
||||
To do so, attach the following notices to the program. It is safest
|
||||
to attach them to the start of each source file to most effectively
|
||||
state the exclusion of warranty; and each file should have at least
|
||||
the "copyright" line and a pointer to where the full notice is found.
|
||||
|
||||
<one line to give the program's name and a brief idea of what it does.>
|
||||
Copyright (C) <year> <name of author>
|
||||
|
||||
This program is free software: you can redistribute it and/or modify
|
||||
it under the terms of the GNU Affero General Public License as published
|
||||
by the Free Software Foundation, either version 3 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU Affero General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU Affero General Public License
|
||||
along with this program. If not, see <https://www.gnu.org/licenses/>.
|
||||
|
||||
Also add information on how to contact you by electronic and paper mail.
|
||||
|
||||
If your software can interact with users remotely through a computer
|
||||
network, you should also make sure that it provides a way for users to
|
||||
get its source. For example, if your program is a web application, its
|
||||
interface could display a "Source" link that leads users to an archive
|
||||
of the code. There are many ways you could offer source, and different
|
||||
solutions will be better for different programs; see section 13 for the
|
||||
specific requirements.
|
||||
|
||||
You should also get your employer (if you work as a programmer) or school,
|
||||
if any, to sign a "copyright disclaimer" for the program, if necessary.
|
||||
For more information on this, and how to apply and follow the GNU AGPL, see
|
||||
<https://www.gnu.org/licenses/>.
|
||||
|
|
@ -1,52 +0,0 @@
|
|||
# Honcho
|
||||
|
||||
A User context management solution for building AI Agents and LLM powered
|
||||
applications.
|
||||
|
||||
Read about the motivation of this project [here](https://blog.plasticlabs.ai).
|
||||
|
||||
Read the full documentation of this project [here](https://docs.honcho.dev) and
|
||||
find the SDK reference [here](https://api.python.honcho.dev)
|
||||
|
||||
## Installation
|
||||
|
||||
Install honcho:
|
||||
|
||||
```bash
|
||||
pip install honcho-ai
|
||||
```
|
||||
|
||||
or
|
||||
|
||||
```bash
|
||||
poetry add honcho-ai
|
||||
```
|
||||
|
||||
## Getting Started
|
||||
|
||||
The Honcho SDK exposes a top level client that contains methods for managing the
|
||||
lifecycle of different conversations and sessions in an LLM powered application.
|
||||
|
||||
There is a demo server being run at https://demo.honcho.dev that the client uses
|
||||
by default if no other string is provided.
|
||||
|
||||
```python
|
||||
from uuid import uuid4
|
||||
from honcho import Honcho
|
||||
|
||||
app_name = str(uuid4())
|
||||
honcho = Honcho(app_name=app_name)
|
||||
honcho.initialize()
|
||||
user_name = "test"
|
||||
user = honcho.create_user(user_name)
|
||||
session = user.create_session()
|
||||
|
||||
|
||||
session.create_message(is_user=True, content="Hello I'm a human")
|
||||
session.create_message(is_user=False, content="Hello I'm an AI")
|
||||
```
|
||||
|
||||
The honcho sdk code contains docstrings — see the full sdk on
|
||||
[GitHub](https://github.com/plastic-labs/honcho/tree/main/sdk/honcho/client.py)
|
||||
|
||||
See more examples of how to use the SDK on [GitHub](https://github.com/plastic-labs/honcho/tree/main/example)
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
# Minimal makefile for Sphinx documentation
|
||||
#
|
||||
|
||||
# You can set these variables from the command line, and also
|
||||
# from the environment for the first two.
|
||||
SPHINXOPTS ?=
|
||||
SPHINXBUILD ?= poetry run sphinx-build
|
||||
SOURCEDIR = .
|
||||
BUILDDIR = _build
|
||||
|
||||
# Put it first so that "make" without argument is like "make help".
|
||||
help:
|
||||
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
|
||||
|
||||
.PHONY: help Makefile
|
||||
|
||||
# Catch-all target: route all unknown targets to Sphinx using the new
|
||||
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
|
||||
%: Makefile
|
||||
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
|
||||
|
|
@ -1,28 +0,0 @@
|
|||
<svg width="650" height="650" viewBox="0 0 650 650" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<rect width="650" height="650" fill="#101447"/>
|
||||
<g filter="url(#filter0_dd_11_8)">
|
||||
<path d="M325.56 80C238.59 80 157.54 126.59 113.62 201.69C94.1801 213.51 81.0001 221.78 80.7301 221.92C42.8201 242.58 23.9001 262.29 14.6201 277.9C7.41011 278.03 1.1701 283.37 0.150101 290.73C-1.0099 298.88 4.6801 306.44 12.8401 307.58C21.0101 308.74 28.5501 303.05 29.7101 294.88C30.3101 290.68 29.0701 286.63 26.6301 283.55C40.3601 261.4 69.3201 243.18 87.0601 233.52C90.1101 231.86 261.89 127.81 274.74 130.38C276.89 130.81 280.03 131.97 282.5 137.08C289.3 151.18 226.78 192.95 214.03 200.59C201.82 207.9 191.06 215.71 181.75 224.01C162.02 241.59 148.85 261.32 142.45 282.97C138.6 296.02 127.63 333.6 101.02 342.94C99.1301 338.74 95.3301 335.46 90.4701 334.46C82.4001 332.77 74.4901 337.95 72.8201 346.02C71.2201 353.66 75.7801 361.14 83.1201 363.34C101.49 482.47 203.51 570.77 325.56 570.77C460.86 570.77 570.95 460.69 570.95 325.38C570.95 190.07 460.87 80 325.56 80ZM187.7 236.51C187.12 244.15 185.37 252.9 181.07 258.61C176.54 264.61 167.95 269.71 160.23 273.31C166.33 260.21 175.51 247.92 187.7 236.51ZM325.56 557.54C210.02 557.54 113.46 473.91 96.1601 361.12C97.9201 359.84 99.4201 358.2 100.48 356.25C122.53 348.38 139.19 337.49 154.08 290.08C162.07 287.28 182.01 279.35 191.64 266.56C201.32 253.69 201.46 233.61 201.05 225.28C207.1 220.67 213.7 216.22 220.83 211.95C261.59 187.55 305.55 154.35 294.41 131.32C290.74 123.73 284.83 118.92 277.34 117.43C263.23 114.63 192.72 154.44 140.15 185.73C183.7 128.08 252.41 93.24 325.56 93.24C453.57 93.24 557.71 197.39 557.71 325.39C557.71 453.39 453.57 557.55 325.56 557.55V557.54Z" fill="white"/>
|
||||
<path d="M247.34 325.38C261.296 325.38 272.61 307.843 272.61 286.21C272.61 264.577 261.296 247.04 247.34 247.04C233.384 247.04 222.07 264.577 222.07 286.21C222.07 307.843 233.384 325.38 247.34 325.38Z" fill="white"/>
|
||||
<path d="M403.78 325.38C417.736 325.38 429.05 307.843 429.05 286.21C429.05 264.577 417.736 247.04 403.78 247.04C389.824 247.04 378.51 264.577 378.51 286.21C378.51 307.843 389.824 325.38 403.78 325.38Z" fill="white"/>
|
||||
<path d="M386.18 406.91H264.94C258.48 406.91 253.25 412.14 253.25 418.6C253.25 425.06 258.48 430.29 264.94 430.29H386.18C392.64 430.29 397.87 425.06 397.87 418.6C397.87 412.14 392.64 406.91 386.18 406.91Z" fill="white"/>
|
||||
<path d="M93.9401 333.61L93.9701 333.58L93.9401 333.6V333.62V333.61Z" fill="white"/>
|
||||
</g>
|
||||
<defs>
|
||||
<filter id="filter0_dd_11_8" x="0" y="80" width="594.95" height="514.77" filterUnits="userSpaceOnUse" color-interpolation-filters="sRGB">
|
||||
<feFlood flood-opacity="0" result="BackgroundImageFix"/>
|
||||
<feColorMatrix in="SourceAlpha" type="matrix" values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0" result="hardAlpha"/>
|
||||
<feOffset dx="20" dy="20"/>
|
||||
<feGaussianBlur stdDeviation="2"/>
|
||||
<feComposite in2="hardAlpha" operator="out"/>
|
||||
<feColorMatrix type="matrix" values="0 0 0 0 1 0 0 0 0 0.352941 0 0 0 0 0.494118 0 0 0 1 0"/>
|
||||
<feBlend mode="normal" in2="BackgroundImageFix" result="effect1_dropShadow_11_8"/>
|
||||
<feColorMatrix in="SourceAlpha" type="matrix" values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0" result="hardAlpha"/>
|
||||
<feOffset dx="10" dy="10"/>
|
||||
<feGaussianBlur stdDeviation="2"/>
|
||||
<feComposite in2="hardAlpha" operator="out"/>
|
||||
<feColorMatrix type="matrix" values="0 0 0 0 0.0352941 0 0 0 0 0.996078 0 0 0 0 0.972549 0 0 0 1 0"/>
|
||||
<feBlend mode="normal" in2="effect1_dropShadow_11_8" result="effect2_dropShadow_11_8"/>
|
||||
<feBlend mode="normal" in="SourceGraphic" in2="effect2_dropShadow_11_8" result="shape"/>
|
||||
</filter>
|
||||
</defs>
|
||||
</svg>
|
||||
|
Before Width: | Height: | Size: 3.5 KiB |
|
|
@ -1,43 +0,0 @@
|
|||
# Configuration file for the Sphinx documentation builder.
|
||||
#
|
||||
# For the full list of built-in configuration values, see the documentation:
|
||||
# https://www.sphinx-doc.org/en/master/usage/configuration.html
|
||||
|
||||
# -- Project information -----------------------------------------------------
|
||||
# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
|
||||
import os
|
||||
import sys
|
||||
|
||||
project = "Honcho"
|
||||
copyright = "2024, Plastic Labs"
|
||||
author = "Plastic Labs"
|
||||
|
||||
|
||||
sys.path.insert(
|
||||
0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../honcho"))
|
||||
)
|
||||
|
||||
# -- General configuration ---------------------------------------------------
|
||||
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
|
||||
|
||||
extensions = [
|
||||
"sphinx.ext.autodoc",
|
||||
"sphinx.ext.napoleon",
|
||||
"sphinx.ext.viewcode",
|
||||
]
|
||||
autodoc_member_order = "bysource"
|
||||
|
||||
autosummary_generate = True
|
||||
|
||||
templates_path = ["_templates"]
|
||||
exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
|
||||
viewcode_import = "import honcho"
|
||||
|
||||
|
||||
# -- Options for HTML output -------------------------------------------------
|
||||
# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
|
||||
|
||||
html_theme = "furo"
|
||||
html_static_path = ["_static"]
|
||||
|
||||
html_favicon = "_static/favicon.svg"
|
||||
|
|
@ -1,33 +0,0 @@
|
|||
.. Honcho documentation master file, created by
|
||||
sphinx-quickstart on Wed Mar 13 11:35:31 2024.
|
||||
You can adapt this file completely to your liking, but it should at least
|
||||
contain the root `toctree` directive.
|
||||
|
||||
Welcome to Honcho's documentation!
|
||||
==================================
|
||||
|
||||
.. .. automodule:: honcho.client
|
||||
.. :members:
|
||||
|
||||
.. .. automodule:: honcho.sync_client
|
||||
.. :members:
|
||||
|
||||
.. .. automodule:: honcho.ext.langchain
|
||||
.. :members:
|
||||
|
||||
.. .. autosummary::
|
||||
.. :toctree: _autosummary
|
||||
.. :recursive:
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 3
|
||||
:caption: Contents:
|
||||
|
||||
source/modules
|
||||
|
||||
Indices and tables
|
||||
==================
|
||||
|
||||
* :ref:`genindex`
|
||||
* :ref:`modindex`
|
||||
* :ref:`search`
|
||||
|
|
@ -1,35 +0,0 @@
|
|||
@ECHO OFF
|
||||
|
||||
pushd %~dp0
|
||||
|
||||
REM Command file for Sphinx documentation
|
||||
|
||||
if "%SPHINXBUILD%" == "" (
|
||||
set SPHINXBUILD=sphinx-build
|
||||
)
|
||||
set SOURCEDIR=.
|
||||
set BUILDDIR=_build
|
||||
|
||||
%SPHINXBUILD% >NUL 2>NUL
|
||||
if errorlevel 9009 (
|
||||
echo.
|
||||
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
|
||||
echo.installed, then set the SPHINXBUILD environment variable to point
|
||||
echo.to the full path of the 'sphinx-build' executable. Alternatively you
|
||||
echo.may add the Sphinx directory to PATH.
|
||||
echo.
|
||||
echo.If you don't have Sphinx installed, grab it from
|
||||
echo.https://www.sphinx-doc.org/
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
if "%1" == "" goto help
|
||||
|
||||
%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
|
||||
goto end
|
||||
|
||||
:help
|
||||
%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
|
||||
|
||||
:end
|
||||
popd
|
||||
|
|
@ -1,21 +0,0 @@
|
|||
honcho.ext package
|
||||
==================
|
||||
|
||||
Submodules
|
||||
----------
|
||||
|
||||
honcho.ext.langchain module
|
||||
---------------------------
|
||||
|
||||
.. automodule:: honcho.ext.langchain
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
Module contents
|
||||
---------------
|
||||
|
||||
.. automodule:: honcho.ext
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
|
@ -1,53 +0,0 @@
|
|||
honcho package
|
||||
==============
|
||||
|
||||
Subpackages
|
||||
-----------
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 4
|
||||
|
||||
honcho.ext
|
||||
|
||||
Submodules
|
||||
----------
|
||||
|
||||
honcho.cache module
|
||||
-------------------
|
||||
|
||||
.. automodule:: honcho.cache
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
honcho.client module
|
||||
--------------------
|
||||
|
||||
.. automodule:: honcho.client
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
honcho.schemas module
|
||||
---------------------
|
||||
|
||||
.. automodule:: honcho.schemas
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
honcho.sync\_client module
|
||||
--------------------------
|
||||
|
||||
.. automodule:: honcho.sync_client
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
Module contents
|
||||
---------------
|
||||
|
||||
.. automodule:: honcho
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
|
@ -1,7 +0,0 @@
|
|||
honcho
|
||||
======
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 4
|
||||
|
||||
honcho
|
||||
|
|
@ -1,26 +0,0 @@
|
|||
"""Honcho is a Python client for the Honcho API."""
|
||||
|
||||
from .client import (
|
||||
AsyncHoncho,
|
||||
AsyncUser,
|
||||
AsyncSession,
|
||||
AsyncCollection,
|
||||
AsyncGetSessionPage,
|
||||
AsyncGetMessagePage,
|
||||
AsyncGetMetamessagePage,
|
||||
AsyncGetDocumentPage,
|
||||
AsyncGetCollectionPage,
|
||||
)
|
||||
from .sync_client import (
|
||||
Honcho,
|
||||
User,
|
||||
Session,
|
||||
Collection,
|
||||
GetSessionPage,
|
||||
GetMessagePage,
|
||||
GetMetamessagePage,
|
||||
GetDocumentPage,
|
||||
GetCollectionPage,
|
||||
)
|
||||
from .schemas import Message, Metamessage, Document
|
||||
from .cache import LRUCache
|
||||
|
|
@ -1,39 +0,0 @@
|
|||
"""
|
||||
This module provides an LRU (Least Recently Used) cache implementation as part of the Honcho SDK's caching mechanisms.
|
||||
"""
|
||||
|
||||
from collections import OrderedDict
|
||||
|
||||
|
||||
class LRUCache:
|
||||
"""
|
||||
An implementation of a basic LRUcache that utilizes the built
|
||||
in OrderedDict data structure.
|
||||
"""
|
||||
|
||||
def __init__(self, capacity: int):
|
||||
"""Initialize the cache"""
|
||||
self.capacity = capacity
|
||||
self.cache = OrderedDict()
|
||||
|
||||
def get(self, key: str):
|
||||
"""Get a value from the cache"""
|
||||
if key not in self.cache:
|
||||
return None
|
||||
|
||||
# Move the accessed key to the end to indicate it was recently used
|
||||
self.cache.move_to_end(key)
|
||||
return self.cache[key]
|
||||
|
||||
def put(self, key: str, value):
|
||||
"""Put a value in the cache"""
|
||||
if key in self.cache:
|
||||
# If the key already exists, move it to the end and update the value
|
||||
self.cache.move_to_end(key)
|
||||
else:
|
||||
if len(self.cache) >= self.capacity:
|
||||
# If the cache is full, remove the least recently used key-value pair (the first item in the OrderedDict)
|
||||
self.cache.popitem(last=False)
|
||||
|
||||
# Add or update the key-value pair at the end of the OrderedDict
|
||||
self.cache[key] = value
|
||||
1517
sdk/honcho/client.py
1517
sdk/honcho/client.py
File diff suppressed because it is too large
Load Diff
|
|
@ -1 +0,0 @@
|
|||
"""Extensions/utilities for the Honcho Ecosystem"""
|
||||
|
|
@ -1,78 +0,0 @@
|
|||
"""
|
||||
Utilities to integrate Honcho with Langchain projects
|
||||
"""
|
||||
|
||||
import functools
|
||||
import importlib
|
||||
from typing import List, Union
|
||||
|
||||
from honcho import AsyncSession, Session
|
||||
from honcho.schemas import Message
|
||||
|
||||
|
||||
def _requires_langchain(func):
|
||||
"""A utility to check if langchain is installed before running a function"""
|
||||
|
||||
@functools.wraps(func)
|
||||
def wrapper(*args, **kwargs):
|
||||
"""Check if langchain is installed before running a function"""
|
||||
|
||||
if importlib.util.find_spec("langchain") is None: # type: ignore
|
||||
raise ImportError("Langchain must be installed to use this feature")
|
||||
# raise RuntimeError("langchain is not installed")
|
||||
return func(*args, **kwargs)
|
||||
|
||||
return wrapper
|
||||
|
||||
|
||||
@_requires_langchain
|
||||
def messages_to_langchain(messages: List[Message]):
|
||||
"""Converts Honcho messages to Langchain messages
|
||||
|
||||
Args:
|
||||
messages (List[Message]): The list of messages to convert
|
||||
|
||||
Returns:
|
||||
List: The list of converted LangChain messages
|
||||
|
||||
"""
|
||||
from langchain_core.messages import AIMessage, HumanMessage # type: ignore
|
||||
|
||||
new_messages = []
|
||||
for message in messages:
|
||||
if message.is_user:
|
||||
new_messages.append(HumanMessage(content=message.content))
|
||||
else:
|
||||
new_messages.append(AIMessage(content=message.content))
|
||||
return new_messages
|
||||
|
||||
|
||||
@_requires_langchain
|
||||
def langchain_to_messages(
|
||||
messages, session: Union[Session, AsyncSession]
|
||||
) -> List[Message]:
|
||||
"""Converts Langchain messages to Honcho messages and adds to appropriate session
|
||||
|
||||
Args:
|
||||
messages: The LangChain messages to convert
|
||||
session: The session to add the messages to
|
||||
|
||||
Returns:
|
||||
List[Message]: The list of converted messages
|
||||
|
||||
"""
|
||||
from langchain_core.messages import HumanMessage # type: ignore
|
||||
|
||||
messages = []
|
||||
for message in messages:
|
||||
if isinstance(message, HumanMessage):
|
||||
message = session.create_message(
|
||||
is_user=True, content=message.content, metadata=message.metadata
|
||||
)
|
||||
messages.append(message)
|
||||
else:
|
||||
message = session.create_message(
|
||||
is_user=False, content=message.content, metadata=message.metadata
|
||||
)
|
||||
messages.append(message)
|
||||
return messages
|
||||
|
|
@ -1,79 +0,0 @@
|
|||
"""
|
||||
This module defines the schema classes for various entities such as Message, Metamessage, and Document.
|
||||
"""
|
||||
|
||||
import datetime
|
||||
import uuid
|
||||
|
||||
|
||||
class Message:
|
||||
"""Class representing a Message"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
session_id: uuid.UUID,
|
||||
id: uuid.UUID,
|
||||
is_user: bool,
|
||||
content: str,
|
||||
metadata: dict,
|
||||
created_at: datetime.datetime,
|
||||
):
|
||||
"""Constructor for Message"""
|
||||
self.session_id = session_id
|
||||
self.id = id
|
||||
self.is_user = is_user
|
||||
self.content = content
|
||||
self.metadata = metadata
|
||||
self.created_at = created_at
|
||||
|
||||
def __str__(self):
|
||||
"""String representation of Message object"""
|
||||
return f"Message(id={self.id}, is_user={self.is_user}, content={self.content})"
|
||||
|
||||
|
||||
class Metamessage:
|
||||
"""Class representing a Metamessage"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
id: uuid.UUID,
|
||||
message_id: uuid.UUID,
|
||||
metamessage_type: str,
|
||||
content: str,
|
||||
metadata: dict,
|
||||
created_at: datetime.datetime,
|
||||
):
|
||||
"""Constructor for Metamessage"""
|
||||
self.id = id
|
||||
self.message_id = message_id
|
||||
self.metamessage_type = metamessage_type
|
||||
self.content = content
|
||||
self.metadata = metadata
|
||||
self.created_at = created_at
|
||||
|
||||
def __str__(self):
|
||||
"""String representation of Metamessage object"""
|
||||
return f"Metamessage(id={self.id}, message_id={self.message_id}, metamessage_type={self.metamessage_type}, content={self.content})"
|
||||
|
||||
|
||||
class Document:
|
||||
"""Class representing a Document"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
id: uuid.UUID,
|
||||
collection_id: uuid.UUID,
|
||||
content: str,
|
||||
metadata: dict,
|
||||
created_at: datetime.datetime,
|
||||
):
|
||||
"""Constructor for Document"""
|
||||
self.collection_id = collection_id
|
||||
self.id = id
|
||||
self.content = content
|
||||
self.metadata = metadata
|
||||
self.created_at = created_at
|
||||
|
||||
def __str__(self) -> str:
|
||||
"""String representation of Document object"""
|
||||
return f"Document(id={self.id}, metadata={self.metadata}, content={self.content}, created_at={self.created_at})"
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,986 +0,0 @@
|
|||
# This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "alabaster"
|
||||
version = "0.7.16"
|
||||
description = "A light, configurable Sphinx theme"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
|
||||
{file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.3.0"
|
||||
description = "High level compatibility layer for multiple asynchronous event loop implementations"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
|
||||
{file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
|
||||
idna = ">=2.8"
|
||||
sniffio = ">=1.1"
|
||||
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
|
||||
|
||||
[package.extras]
|
||||
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{file = "sphinxcontrib_htmlhelp-2.0.5-py3-none-any.whl", hash = "sha256:393f04f112b4d2f53d93448d4bce35842f62b307ccdc549ec1585e950bc35e04"},
|
||||
{file = "sphinxcontrib_htmlhelp-2.0.5.tar.gz", hash = "sha256:0dc87637d5de53dd5eec3a6a01753b1ccf99494bd756aafecd74b4fa9e729015"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
lint = ["docutils-stubs", "flake8", "mypy"]
|
||||
standalone = ["Sphinx (>=5)"]
|
||||
test = ["html5lib", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "sphinxcontrib-jsmath"
|
||||
version = "1.0.1"
|
||||
description = "A sphinx extension which renders display math in HTML via JavaScript"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
files = [
|
||||
{file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
|
||||
{file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
test = ["flake8", "mypy", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "sphinxcontrib-qthelp"
|
||||
version = "1.0.7"
|
||||
description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp documents"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "sphinxcontrib_qthelp-1.0.7-py3-none-any.whl", hash = "sha256:e2ae3b5c492d58fcbd73281fbd27e34b8393ec34a073c792642cd8e529288182"},
|
||||
{file = "sphinxcontrib_qthelp-1.0.7.tar.gz", hash = "sha256:053dedc38823a80a7209a80860b16b722e9e0209e32fea98c90e4e6624588ed6"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
lint = ["docutils-stubs", "flake8", "mypy"]
|
||||
standalone = ["Sphinx (>=5)"]
|
||||
test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "sphinxcontrib-serializinghtml"
|
||||
version = "1.1.10"
|
||||
description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "sphinxcontrib_serializinghtml-1.1.10-py3-none-any.whl", hash = "sha256:326369b8df80a7d2d8d7f99aa5ac577f51ea51556ed974e7716cfd4fca3f6cb7"},
|
||||
{file = "sphinxcontrib_serializinghtml-1.1.10.tar.gz", hash = "sha256:93f3f5dc458b91b192fe10c397e324f262cf163d79f3282c158e8436a2c4511f"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
lint = ["docutils-stubs", "flake8", "mypy"]
|
||||
standalone = ["Sphinx (>=5)"]
|
||||
test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "tabulate"
|
||||
version = "0.9.0"
|
||||
description = "Pretty-print tabular data"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
|
||||
{file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
widechars = ["wcwidth"]
|
||||
|
||||
[[package]]
|
||||
name = "toml"
|
||||
version = "0.10.2"
|
||||
description = "Python Library for Tom's Obvious, Minimal Language"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
files = [
|
||||
{file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
|
||||
{file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
description = "A lil' TOML parser"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
||||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.10.0"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
|
||||
{file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.2.1"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
|
||||
{file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "zipp"
|
||||
version = "3.18.1"
|
||||
description = "Backport of pathlib-compatible object wrapper for zip files"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
|
||||
{file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
||||
testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.9"
|
||||
content-hash = "181a418ea413f687cc31004dc10c50b606aba04cd4073391270d11ab99430e56"
|
||||
|
|
@ -1,45 +0,0 @@
|
|||
[tool.poetry]
|
||||
name = "honcho-ai"
|
||||
version = "0.0.7"
|
||||
description = "Python Client SDK for Honcho"
|
||||
authors = ["Plastic Labs <hello@plasticlabs.ai>"]
|
||||
license = "AGPL-3.0"
|
||||
readme = "README.md"
|
||||
packages = [{include = "honcho"}]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.9"
|
||||
httpx = "^0.26.0"
|
||||
python-dotenv = "^1.0.1"
|
||||
|
||||
[tool.poetry.group.test.dependencies]
|
||||
pytest = "^7.4.4"
|
||||
pytest-asyncio = "^0.23.4"
|
||||
coverage = "^7.4.3"
|
||||
interrogate = "^1.5.0"
|
||||
|
||||
[tool.poetry.group.docs.dependencies]
|
||||
sphinx = "^7.2.6"
|
||||
furo = "^2024.1.29"
|
||||
|
||||
[tool.ruff.lint]
|
||||
# from https://docs.astral.sh/ruff/linter/#rule-selection example
|
||||
select = [
|
||||
"E", # pycodestyle
|
||||
"F", # Pyflakes
|
||||
"UP", # pyupgrade
|
||||
"B", # flake8-bugbear
|
||||
"SIM", # flake8-simplify
|
||||
"S", # flake8-bandit
|
||||
"I", # isort
|
||||
"RUF", # ruff
|
||||
]
|
||||
ignore = [
|
||||
"UP007", # https://docs.astral.sh/ruff/rules/non-pep604-annotation/
|
||||
"E501", # line too long
|
||||
]
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
@ -1,494 +0,0 @@
|
|||
from uuid import uuid1
|
||||
|
||||
import pytest
|
||||
|
||||
from honcho import (
|
||||
AsyncGetDocumentPage,
|
||||
AsyncGetMessagePage,
|
||||
AsyncGetMetamessagePage,
|
||||
AsyncGetSessionPage,
|
||||
AsyncSession,
|
||||
Document,
|
||||
Message,
|
||||
Metamessage,
|
||||
)
|
||||
from honcho import AsyncHoncho as Honcho
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_session_metadata_filter():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
await user.create_session()
|
||||
await user.create_session(metadata={"foo": "bar"})
|
||||
await user.create_session(metadata={"foo": "bar"})
|
||||
|
||||
response = await user.get_sessions(filter={"foo": "bar"})
|
||||
retrieved_sessions = response.items
|
||||
|
||||
assert len(retrieved_sessions) == 2
|
||||
|
||||
response = await user.get_sessions()
|
||||
|
||||
assert len(response.items) == 3
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_delete_session_metadata():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
retrieved_session = await user.create_session(metadata={"foo": "bar"})
|
||||
|
||||
assert retrieved_session.metadata == {"foo": "bar"}
|
||||
|
||||
await retrieved_session.update(metadata={})
|
||||
|
||||
session_copy = await user.get_session(retrieved_session.id)
|
||||
|
||||
assert session_copy.metadata == {}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_user_update():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
assert user.metadata == {}
|
||||
assert await user.update({"foo": "bar"})
|
||||
retrieved_user = await honcho.get_user(user_name)
|
||||
assert retrieved_user.metadata == {"foo": "bar"}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_session_creation_retrieval():
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user_name = str(uuid1())
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
retrieved_session = await user.get_session(created_session.id)
|
||||
assert retrieved_session.id == created_session.id
|
||||
assert retrieved_session.is_active is True
|
||||
assert retrieved_session.location_id == "default"
|
||||
assert retrieved_session.metadata == {}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_session_multiple_retrieval():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session_1 = await user.create_session()
|
||||
created_session_2 = await user.create_session()
|
||||
response = await user.get_sessions()
|
||||
retrieved_sessions = response.items
|
||||
|
||||
assert len(retrieved_sessions) == 2
|
||||
assert retrieved_sessions[0].id == created_session_1.id
|
||||
assert retrieved_sessions[1].id == created_session_2.id
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_session_update():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
assert await created_session.update({"foo": "bar"})
|
||||
retrieved_session = await user.get_session(created_session.id)
|
||||
assert retrieved_session.metadata == {"foo": "bar"}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_session_deletion():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
assert created_session.is_active is True
|
||||
await created_session.close()
|
||||
assert created_session.is_active is False
|
||||
retrieved_session = await user.get_session(created_session.id)
|
||||
assert retrieved_session.is_active is False
|
||||
assert retrieved_session.id == created_session.id
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_messages():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
await created_session.create_message(is_user=True, content="Hello")
|
||||
await created_session.create_message(is_user=False, content="Hi")
|
||||
retrieved_session = await user.get_session(created_session.id)
|
||||
response = await retrieved_session.get_messages()
|
||||
messages = response.items
|
||||
assert len(messages) == 2
|
||||
user_message, ai_message = messages
|
||||
assert user_message.content == "Hello"
|
||||
assert user_message.is_user is True
|
||||
assert ai_message.content == "Hi"
|
||||
assert ai_message.is_user is False
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_rate_limit():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
with pytest.raises(Exception):
|
||||
for _ in range(105):
|
||||
await created_session.create_message(is_user=True, content="Hello")
|
||||
await created_session.create_message(is_user=False, content="Hi")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_app_name_security():
|
||||
app_name_1 = str(uuid1())
|
||||
app_name_2 = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho_1 = Honcho(app_name_1, "http://localhost:8000")
|
||||
await honcho_1.initialize()
|
||||
honcho_2 = Honcho(app_name_2, "http://localhost:8000")
|
||||
await honcho_2.initialize()
|
||||
user_1 = await honcho_1.create_user(user_name)
|
||||
user_2 = await honcho_2.create_user(user_name)
|
||||
created_session = await user_1.create_session()
|
||||
await created_session.create_message(is_user=True, content="Hello")
|
||||
await created_session.create_message(is_user=False, content="Hi")
|
||||
with pytest.raises(Exception):
|
||||
await user_2.get_session(created_session.id)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_paginated_sessions():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
for i in range(10):
|
||||
await user.create_session()
|
||||
|
||||
page = 1
|
||||
page_size = 2
|
||||
get_session_response = await user.get_sessions(page=page, page_size=page_size)
|
||||
assert len(get_session_response.items) == page_size
|
||||
|
||||
assert get_session_response.pages == 5
|
||||
|
||||
new_session_response = await get_session_response.next()
|
||||
assert new_session_response is not None
|
||||
assert isinstance(new_session_response, AsyncGetSessionPage)
|
||||
assert len(new_session_response.items) == page_size
|
||||
|
||||
final_page = await user.get_sessions(page=5, page_size=page_size)
|
||||
|
||||
assert len(final_page.items) == 2
|
||||
next_page = await final_page.next()
|
||||
assert next_page is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_paginated_sessions_generator():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
for i in range(3):
|
||||
await user.create_session()
|
||||
|
||||
gen = user.get_sessions_generator()
|
||||
# print(type(gen))
|
||||
|
||||
item = await gen.__anext__()
|
||||
assert item.user.id == user.id
|
||||
assert isinstance(item, AsyncSession)
|
||||
assert await gen.__anext__() is not None
|
||||
assert await gen.__anext__() is not None
|
||||
with pytest.raises(StopAsyncIteration):
|
||||
await gen.__anext__()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_paginated_out_of_bounds():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
for i in range(3):
|
||||
await user.create_session()
|
||||
page = 2
|
||||
page_size = 50
|
||||
get_session_response = await user.get_sessions(page=page, page_size=page_size)
|
||||
|
||||
assert get_session_response.pages == 1
|
||||
assert get_session_response.page == 2
|
||||
assert get_session_response.page_size == 50
|
||||
assert get_session_response.total == 3
|
||||
assert len(get_session_response.items) == 0
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_paginated_messages():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
for i in range(10):
|
||||
await created_session.create_message(is_user=True, content="Hello")
|
||||
await created_session.create_message(is_user=False, content="Hi")
|
||||
|
||||
page_size = 7
|
||||
get_message_response = await created_session.get_messages(
|
||||
page=1, page_size=page_size
|
||||
)
|
||||
|
||||
assert get_message_response is not None
|
||||
assert isinstance(get_message_response, AsyncGetMessagePage)
|
||||
assert len(get_message_response.items) == page_size
|
||||
|
||||
new_message_response = await get_message_response.next()
|
||||
|
||||
assert new_message_response is not None
|
||||
assert isinstance(new_message_response, AsyncGetMessagePage)
|
||||
assert len(new_message_response.items) == page_size
|
||||
|
||||
final_page = await created_session.get_messages(page=3, page_size=page_size)
|
||||
|
||||
assert len(final_page.items) == 20 - ((3 - 1) * 7)
|
||||
|
||||
next_page = await final_page.next()
|
||||
|
||||
assert next_page is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_paginated_messages_generator():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
await created_session.create_message(is_user=True, content="Hello")
|
||||
await created_session.create_message(is_user=False, content="Hi")
|
||||
gen = created_session.get_messages_generator()
|
||||
|
||||
item = await gen.__anext__()
|
||||
assert isinstance(item, Message)
|
||||
assert item.content == "Hello"
|
||||
assert item.is_user is True
|
||||
item2 = await gen.__anext__()
|
||||
assert item2 is not None
|
||||
assert item2.content == "Hi"
|
||||
assert item2.is_user is False
|
||||
with pytest.raises(StopAsyncIteration):
|
||||
await gen.__anext__()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_paginated_metamessages():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
message = await created_session.create_message(is_user=True, content="Hello")
|
||||
for i in range(10):
|
||||
await created_session.create_metamessage(
|
||||
message=message, metamessage_type="thought", content=f"Test {i}"
|
||||
)
|
||||
await created_session.create_metamessage(
|
||||
message=message, metamessage_type="reflect", content=f"Test {i}"
|
||||
)
|
||||
|
||||
page_size = 7
|
||||
page = await created_session.get_metamessages(page=1, page_size=page_size)
|
||||
|
||||
assert page is not None
|
||||
assert isinstance(page, AsyncGetMetamessagePage)
|
||||
assert len(page.items) == page_size
|
||||
|
||||
new_page = await page.next()
|
||||
|
||||
assert new_page is not None
|
||||
assert isinstance(new_page, AsyncGetMetamessagePage)
|
||||
assert len(new_page.items) == page_size
|
||||
|
||||
final_page = await created_session.get_metamessages(page=3, page_size=page_size)
|
||||
|
||||
assert len(final_page.items) == 20 - ((3 - 1) * 7)
|
||||
|
||||
next_page = await final_page.next()
|
||||
|
||||
assert next_page is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_paginated_metamessages_generator():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
created_session = await user.create_session()
|
||||
message = await created_session.create_message(is_user=True, content="Hello")
|
||||
await created_session.create_metamessage(
|
||||
message=message, metamessage_type="thought", content="Test 1"
|
||||
)
|
||||
await created_session.create_metamessage(
|
||||
message=message, metamessage_type="thought", content="Test 2"
|
||||
)
|
||||
gen = created_session.get_metamessages_generator()
|
||||
|
||||
item = await gen.__anext__()
|
||||
assert isinstance(item, Metamessage)
|
||||
assert item.content == "Test 1"
|
||||
assert item.metamessage_type == "thought"
|
||||
item2 = await gen.__anext__()
|
||||
assert item2 is not None
|
||||
assert item2.content == "Test 2"
|
||||
assert item2.metamessage_type == "thought"
|
||||
with pytest.raises(StopAsyncIteration):
|
||||
await gen.__anext__()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_collections():
|
||||
col_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
# Make a collection
|
||||
collection = await user.create_collection(col_name)
|
||||
|
||||
# Add documents
|
||||
doc1 = await collection.create_document(
|
||||
content="This is a test of documents - 1", metadata={"foo": "bar"}
|
||||
)
|
||||
doc2 = await collection.create_document(
|
||||
content="This is a test of documents - 2", metadata={}
|
||||
)
|
||||
doc3 = await collection.create_document(
|
||||
content="This is a test of documents - 3", metadata={}
|
||||
)
|
||||
|
||||
# Get all documents
|
||||
page = await collection.get_documents(page=1, page_size=3)
|
||||
# Verify size
|
||||
assert page is not None
|
||||
assert isinstance(page, AsyncGetDocumentPage)
|
||||
assert len(page.items) == 3
|
||||
# delete a doc
|
||||
result = await collection.delete_document(doc1)
|
||||
assert result is True
|
||||
# Get all documents with a generator this time
|
||||
gen = collection.get_documents_generator()
|
||||
# Verfy size
|
||||
item = await gen.__anext__()
|
||||
item2 = await gen.__anext__()
|
||||
with pytest.raises(StopAsyncIteration):
|
||||
await gen.__anext__()
|
||||
# delete the collection
|
||||
result = await collection.delete()
|
||||
# confirm documents are gone
|
||||
with pytest.raises(Exception):
|
||||
new_col = await user.get_collection(col_name)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_collection_name_collision():
|
||||
col_name = str(uuid1())
|
||||
new_col_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
# Make a collection
|
||||
collection = await user.create_collection(col_name)
|
||||
# Make another collection
|
||||
with pytest.raises(Exception):
|
||||
await user.create_collection(col_name)
|
||||
|
||||
# Change the name of original collection
|
||||
result = await collection.update(new_col_name)
|
||||
assert result is True
|
||||
|
||||
# Try again to add another collection
|
||||
collection2 = await user.create_collection(col_name)
|
||||
assert collection2 is not None
|
||||
assert collection2.name == col_name
|
||||
assert collection.name == new_col_name
|
||||
|
||||
# Get all collections
|
||||
page = await user.get_collections()
|
||||
assert page is not None
|
||||
assert len(page.items) == 2
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_collection_query():
|
||||
col_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
await honcho.initialize()
|
||||
user = await honcho.create_user(user_name)
|
||||
# Make a collection
|
||||
collection = await user.create_collection(col_name)
|
||||
|
||||
# Add documents
|
||||
doc1 = await collection.create_document(
|
||||
content="The user loves puppies", metadata={}
|
||||
)
|
||||
doc2 = await collection.create_document(content="The user owns a dog", metadata={})
|
||||
doc3 = await collection.create_document(content="The user is a doctor", metadata={})
|
||||
|
||||
result = await collection.query(query="does the user own pets", top_k=2)
|
||||
|
||||
assert result is not None
|
||||
assert len(result) == 2
|
||||
assert isinstance(result[0], Document)
|
||||
|
||||
doc3 = await collection.update_document(
|
||||
doc3, metadata={"test": "test"}, content="the user has owned pets in the past"
|
||||
)
|
||||
assert doc3 is not None
|
||||
assert doc3.metadata == {"test": "test"}
|
||||
assert doc3.content == "the user has owned pets in the past"
|
||||
|
||||
result = await collection.query(query="does the user own pets", top_k=2)
|
||||
|
||||
assert result is not None
|
||||
assert len(result) == 2
|
||||
assert isinstance(result[0], Document)
|
||||
|
|
@ -1,474 +0,0 @@
|
|||
from uuid import uuid1
|
||||
|
||||
import pytest
|
||||
|
||||
from honcho import (
|
||||
GetDocumentPage,
|
||||
GetMessagePage,
|
||||
GetMetamessagePage,
|
||||
GetSessionPage,
|
||||
Session,
|
||||
Document,
|
||||
Message,
|
||||
Metamessage,
|
||||
)
|
||||
from honcho import Honcho as Honcho
|
||||
|
||||
|
||||
def test_session_metadata_filter():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
user.create_session()
|
||||
user.create_session(metadata={"foo": "bar"})
|
||||
user.create_session(metadata={"foo": "bar"})
|
||||
|
||||
response = user.get_sessions(filter={"foo": "bar"})
|
||||
retrieved_sessions = response.items
|
||||
|
||||
assert len(retrieved_sessions) == 2
|
||||
|
||||
response = user.get_sessions()
|
||||
|
||||
assert len(response.items) == 3
|
||||
|
||||
|
||||
def test_delete_session_metadata():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
retrieved_session = user.create_session(metadata={"foo": "bar"})
|
||||
|
||||
assert retrieved_session.metadata == {"foo": "bar"}
|
||||
|
||||
retrieved_session.update(metadata={})
|
||||
|
||||
session_copy = user.get_session(retrieved_session.id)
|
||||
|
||||
assert session_copy.metadata == {}
|
||||
|
||||
|
||||
def test_user_update():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
assert user.metadata == {}
|
||||
assert user.update({"foo": "bar"})
|
||||
retrieved_user = honcho.get_user(user_name)
|
||||
assert retrieved_user.metadata == {"foo": "bar"}
|
||||
|
||||
|
||||
def test_session_creation_retrieval():
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user_name = str(uuid1())
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
retrieved_session = user.get_session(created_session.id)
|
||||
assert retrieved_session.id == created_session.id
|
||||
assert retrieved_session.is_active is True
|
||||
assert retrieved_session.location_id == "default"
|
||||
assert retrieved_session.metadata == {}
|
||||
|
||||
|
||||
def test_session_multiple_retrieval():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session_1 = user.create_session()
|
||||
created_session_2 = user.create_session()
|
||||
response = user.get_sessions()
|
||||
retrieved_sessions = response.items
|
||||
|
||||
assert len(retrieved_sessions) == 2
|
||||
assert retrieved_sessions[0].id == created_session_1.id
|
||||
assert retrieved_sessions[1].id == created_session_2.id
|
||||
|
||||
|
||||
def test_session_update():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
assert created_session.update({"foo": "bar"})
|
||||
retrieved_session = user.get_session(created_session.id)
|
||||
assert retrieved_session.metadata == {"foo": "bar"}
|
||||
|
||||
|
||||
def test_session_deletion():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
assert created_session.is_active is True
|
||||
created_session.close()
|
||||
assert created_session.is_active is False
|
||||
retrieved_session = user.get_session(created_session.id)
|
||||
assert retrieved_session.is_active is False
|
||||
assert retrieved_session.id == created_session.id
|
||||
|
||||
|
||||
def test_messages():
|
||||
user_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
created_session.create_message(is_user=True, content="Hello")
|
||||
created_session.create_message(is_user=False, content="Hi")
|
||||
retrieved_session = user.get_session(created_session.id)
|
||||
response = retrieved_session.get_messages()
|
||||
messages = response.items
|
||||
assert len(messages) == 2
|
||||
user_message, ai_message = messages
|
||||
assert user_message.content == "Hello"
|
||||
assert user_message.is_user is True
|
||||
assert ai_message.content == "Hi"
|
||||
assert ai_message.is_user is False
|
||||
|
||||
|
||||
def test_rate_limit():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
with pytest.raises(Exception):
|
||||
for _ in range(105):
|
||||
created_session.create_message(is_user=True, content="Hello")
|
||||
created_session.create_message(is_user=False, content="Hi")
|
||||
|
||||
|
||||
def test_app_name_security():
|
||||
app_name_1 = str(uuid1())
|
||||
app_name_2 = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho_1 = Honcho(app_name_1, "http://localhost:8000")
|
||||
honcho_1.initialize()
|
||||
honcho_2 = Honcho(app_name_2, "http://localhost:8000")
|
||||
honcho_2.initialize()
|
||||
user_1 = honcho_1.create_user(user_name)
|
||||
user_2 = honcho_2.create_user(user_name)
|
||||
created_session = user_1.create_session()
|
||||
created_session.create_message(is_user=True, content="Hello")
|
||||
created_session.create_message(is_user=False, content="Hi")
|
||||
with pytest.raises(Exception):
|
||||
user_2.get_session(created_session.id)
|
||||
|
||||
|
||||
def test_paginated_sessions():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
for i in range(10):
|
||||
user.create_session()
|
||||
|
||||
page = 1
|
||||
page_size = 2
|
||||
get_session_response = user.get_sessions(page=page, page_size=page_size)
|
||||
assert len(get_session_response.items) == page_size
|
||||
|
||||
assert get_session_response.pages == 5
|
||||
|
||||
new_session_response = get_session_response.next()
|
||||
assert new_session_response is not None
|
||||
assert isinstance(new_session_response, GetSessionPage)
|
||||
assert len(new_session_response.items) == page_size
|
||||
|
||||
final_page = user.get_sessions(page=5, page_size=page_size)
|
||||
|
||||
assert len(final_page.items) == 2
|
||||
next_page = final_page.next()
|
||||
assert next_page is None
|
||||
|
||||
|
||||
def test_paginated_sessions_generator():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
for i in range(3):
|
||||
user.create_session()
|
||||
|
||||
gen = user.get_sessions_generator()
|
||||
# print(type(gen))
|
||||
|
||||
item = gen.__next__()
|
||||
assert item.user.id == user.id
|
||||
assert isinstance(item, Session)
|
||||
assert gen.__next__() is not None
|
||||
assert gen.__next__() is not None
|
||||
with pytest.raises(StopIteration):
|
||||
gen.__next__()
|
||||
|
||||
|
||||
def test_paginated_out_of_bounds():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
for i in range(3):
|
||||
user.create_session()
|
||||
page = 2
|
||||
page_size = 50
|
||||
get_session_response = user.get_sessions(page=page, page_size=page_size)
|
||||
|
||||
assert get_session_response.pages == 1
|
||||
assert get_session_response.page == 2
|
||||
assert get_session_response.page_size == 50
|
||||
assert get_session_response.total == 3
|
||||
assert len(get_session_response.items) == 0
|
||||
|
||||
|
||||
def test_paginated_messages():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
for i in range(10):
|
||||
created_session.create_message(is_user=True, content="Hello")
|
||||
created_session.create_message(is_user=False, content="Hi")
|
||||
|
||||
page_size = 7
|
||||
get_message_response = created_session.get_messages(
|
||||
page=1, page_size=page_size
|
||||
)
|
||||
|
||||
assert get_message_response is not None
|
||||
assert isinstance(get_message_response, GetMessagePage)
|
||||
assert len(get_message_response.items) == page_size
|
||||
|
||||
new_message_response = get_message_response.next()
|
||||
|
||||
assert new_message_response is not None
|
||||
assert isinstance(new_message_response, GetMessagePage)
|
||||
assert len(new_message_response.items) == page_size
|
||||
|
||||
final_page = created_session.get_messages(page=3, page_size=page_size)
|
||||
|
||||
assert len(final_page.items) == 20 - ((3 - 1) * 7)
|
||||
|
||||
next_page = final_page.next()
|
||||
|
||||
assert next_page is None
|
||||
|
||||
|
||||
def test_paginated_messages_generator():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
created_session.create_message(is_user=True, content="Hello")
|
||||
created_session.create_message(is_user=False, content="Hi")
|
||||
gen = created_session.get_messages_generator()
|
||||
|
||||
item = gen.__next__()
|
||||
assert isinstance(item, Message)
|
||||
assert item.content == "Hello"
|
||||
assert item.is_user is True
|
||||
item2 = gen.__next__()
|
||||
assert item2 is not None
|
||||
assert item2.content == "Hi"
|
||||
assert item2.is_user is False
|
||||
with pytest.raises(StopIteration):
|
||||
gen.__next__()
|
||||
|
||||
|
||||
def test_paginated_metamessages():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
message = created_session.create_message(is_user=True, content="Hello")
|
||||
for i in range(10):
|
||||
created_session.create_metamessage(
|
||||
message=message, metamessage_type="thought", content=f"Test {i}"
|
||||
)
|
||||
created_session.create_metamessage(
|
||||
message=message, metamessage_type="reflect", content=f"Test {i}"
|
||||
)
|
||||
|
||||
page_size = 7
|
||||
page = created_session.get_metamessages(page=1, page_size=page_size)
|
||||
|
||||
assert page is not None
|
||||
assert isinstance(page, GetMetamessagePage)
|
||||
assert len(page.items) == page_size
|
||||
|
||||
new_page = page.next()
|
||||
|
||||
assert new_page is not None
|
||||
assert isinstance(new_page, GetMetamessagePage)
|
||||
assert len(new_page.items) == page_size
|
||||
|
||||
final_page = created_session.get_metamessages(page=3, page_size=page_size)
|
||||
|
||||
assert len(final_page.items) == 20 - ((3 - 1) * 7)
|
||||
|
||||
next_page = final_page.next()
|
||||
|
||||
assert next_page is None
|
||||
|
||||
|
||||
def test_paginated_metamessages_generator():
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
created_session = user.create_session()
|
||||
message = created_session.create_message(is_user=True, content="Hello")
|
||||
created_session.create_metamessage(
|
||||
message=message, metamessage_type="thought", content="Test 1"
|
||||
)
|
||||
created_session.create_metamessage(
|
||||
message=message, metamessage_type="thought", content="Test 2"
|
||||
)
|
||||
gen = created_session.get_metamessages_generator()
|
||||
|
||||
item = gen.__next__()
|
||||
assert isinstance(item, Metamessage)
|
||||
assert item.content == "Test 1"
|
||||
assert item.metamessage_type == "thought"
|
||||
item2 = gen.__next__()
|
||||
assert item2 is not None
|
||||
assert item2.content == "Test 2"
|
||||
assert item2.metamessage_type == "thought"
|
||||
with pytest.raises(StopIteration):
|
||||
gen.__next__()
|
||||
|
||||
|
||||
def test_collections():
|
||||
col_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
# Make a collection
|
||||
collection = user.create_collection(col_name)
|
||||
|
||||
# Add documents
|
||||
doc1 = collection.create_document(
|
||||
content="This is a test of documents - 1", metadata={"foo": "bar"}
|
||||
)
|
||||
doc2 = collection.create_document(
|
||||
content="This is a test of documents - 2", metadata={}
|
||||
)
|
||||
doc3 = collection.create_document(
|
||||
content="This is a test of documents - 3", metadata={}
|
||||
)
|
||||
|
||||
# Get all documents
|
||||
page = collection.get_documents(page=1, page_size=3)
|
||||
# Verify size
|
||||
assert page is not None
|
||||
assert isinstance(page, GetDocumentPage)
|
||||
assert len(page.items) == 3
|
||||
# delete a doc
|
||||
result = collection.delete_document(doc1)
|
||||
assert result is True
|
||||
# Get all documents with a generator this time
|
||||
gen = collection.get_documents_generator()
|
||||
# Verfy size
|
||||
item = gen.__next__()
|
||||
item2 = gen.__next__()
|
||||
with pytest.raises(StopIteration):
|
||||
gen.__next__()
|
||||
# delete the collection
|
||||
result = collection.delete()
|
||||
# confirm documents are gone
|
||||
with pytest.raises(Exception):
|
||||
new_col = user.get_collection(col_name)
|
||||
|
||||
|
||||
def test_collection_name_collision():
|
||||
col_name = str(uuid1())
|
||||
new_col_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
# Make a collection
|
||||
collection = user.create_collection(col_name)
|
||||
# Make another collection
|
||||
with pytest.raises(Exception):
|
||||
user.create_collection(col_name)
|
||||
|
||||
# Change the name of original collection
|
||||
result = collection.update(new_col_name)
|
||||
assert result is True
|
||||
|
||||
# Try again to add another collection
|
||||
collection2 = user.create_collection(col_name)
|
||||
assert collection2 is not None
|
||||
assert collection2.name == col_name
|
||||
assert collection.name == new_col_name
|
||||
|
||||
# Get all collections
|
||||
page = user.get_collections()
|
||||
assert page is not None
|
||||
assert len(page.items) == 2
|
||||
|
||||
|
||||
def test_collection_query():
|
||||
col_name = str(uuid1())
|
||||
app_name = str(uuid1())
|
||||
user_name = str(uuid1())
|
||||
honcho = Honcho(app_name, "http://localhost:8000")
|
||||
honcho.initialize()
|
||||
user = honcho.create_user(user_name)
|
||||
# Make a collection
|
||||
collection = user.create_collection(col_name)
|
||||
|
||||
# Add documents
|
||||
doc1 = collection.create_document(
|
||||
content="The user loves puppies", metadata={}
|
||||
)
|
||||
doc2 = collection.create_document(content="The user owns a dog", metadata={})
|
||||
doc3 = collection.create_document(content="The user is a doctor", metadata={})
|
||||
|
||||
result = collection.query(query="does the user own pets", top_k=2)
|
||||
|
||||
assert result is not None
|
||||
assert len(result) == 2
|
||||
assert isinstance(result[0], Document)
|
||||
|
||||
doc3 = collection.update_document(
|
||||
doc3, metadata={"test": "test"}, content="the user has owned pets in the past"
|
||||
)
|
||||
assert doc3 is not None
|
||||
assert doc3.metadata == {"test": "test"}
|
||||
assert doc3.content == "the user has owned pets in the past"
|
||||
|
||||
result = collection.query(query="does the user own pets", top_k=2)
|
||||
|
||||
assert result is not None
|
||||
assert len(result) == 2
|
||||
assert isinstance(result[0], Document)
|
||||
|
|
@ -1,37 +1,33 @@
|
|||
import os
|
||||
import uuid
|
||||
from typing import Optional
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from langchain_core.prompts import (
|
||||
ChatPromptTemplate,
|
||||
SystemMessagePromptTemplate,
|
||||
load_prompt,
|
||||
)
|
||||
from langchain_openai import ChatOpenAI
|
||||
from mirascope.openai import OpenAICall, OpenAICallParams
|
||||
from sqlalchemy.ext.asyncio import AsyncSession
|
||||
|
||||
from . import crud, schemas
|
||||
|
||||
load_dotenv()
|
||||
|
||||
# from supabase import Client
|
||||
|
||||
SYSTEM_DIALECTIC = load_prompt(
|
||||
os.path.join(os.path.dirname(__file__), "prompts/dialectic.yaml")
|
||||
)
|
||||
system_dialectic: SystemMessagePromptTemplate = SystemMessagePromptTemplate(
|
||||
prompt=SYSTEM_DIALECTIC
|
||||
)
|
||||
class Dialectic(OpenAICall):
|
||||
prompt_template = """
|
||||
You are tasked with responding to the query based on the context provided.
|
||||
---
|
||||
query: {agent_input}
|
||||
context: {retrieved_facts}
|
||||
---
|
||||
Provide a brief, matter-of-fact, and appropriate response to the query based on the context provided. If the context provided doesn't aid in addressing the query, return None.
|
||||
"""
|
||||
agent_input: str
|
||||
retrieved_facts: str
|
||||
|
||||
llm: ChatOpenAI = ChatOpenAI(model_name="gpt-4")
|
||||
call_params = OpenAICallParams(model="gpt-4o-2024-05-13")
|
||||
|
||||
|
||||
async def prep_inference(
|
||||
db: AsyncSession,
|
||||
app_id: uuid.UUID,
|
||||
user_id: uuid.UUID,
|
||||
session_id: uuid.UUID,
|
||||
query: str,
|
||||
):
|
||||
collection = await crud.get_collection_by_name(db, app_id, user_id, "honcho")
|
||||
|
|
@ -56,27 +52,21 @@ async def prep_inference(
|
|||
if len(retrieved_documents) > 0:
|
||||
retrieved_facts = retrieved_documents[0].content
|
||||
|
||||
dialectic_prompt = ChatPromptTemplate.from_messages([system_dialectic])
|
||||
chain = dialectic_prompt | llm
|
||||
return (chain, retrieved_facts)
|
||||
chain = Dialectic(
|
||||
agent_input=query,
|
||||
retrieved_facts=retrieved_facts if retrieved_facts else "None",
|
||||
)
|
||||
return chain
|
||||
|
||||
|
||||
async def chat(
|
||||
app_id: uuid.UUID,
|
||||
user_id: uuid.UUID,
|
||||
session_id: uuid.UUID,
|
||||
query: str,
|
||||
db: AsyncSession,
|
||||
):
|
||||
(chain, retrieved_facts) = await prep_inference(
|
||||
db, app_id, user_id, session_id, query
|
||||
)
|
||||
response = await chain.ainvoke(
|
||||
{
|
||||
"agent_input": query,
|
||||
"retrieved_facts": retrieved_facts if retrieved_facts else "None",
|
||||
}
|
||||
)
|
||||
chain = await prep_inference(db, app_id, user_id, query)
|
||||
response = await chain.call_async()
|
||||
|
||||
return schemas.AgentChat(content=response.content)
|
||||
|
||||
|
|
@ -84,16 +74,8 @@ async def chat(
|
|||
async def stream(
|
||||
app_id: uuid.UUID,
|
||||
user_id: uuid.UUID,
|
||||
session_id: uuid.UUID,
|
||||
query: str,
|
||||
db: AsyncSession,
|
||||
):
|
||||
(chain, retrieved_facts) = await prep_inference(
|
||||
db, app_id, user_id, session_id, query
|
||||
)
|
||||
return chain.astream(
|
||||
{
|
||||
"agent_input": query,
|
||||
"retrieved_facts": retrieved_facts if retrieved_facts else "None",
|
||||
}
|
||||
)
|
||||
chain = await prep_inference(db, app_id, user_id, query)
|
||||
return chain.stream_async()
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue