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Joel
commit
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36
.github/actions/setup-poetry/action.yml
vendored
Normal file
36
.github/actions/setup-poetry/action.yml
vendored
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
name: Setup Poetry and Python
|
||||
|
||||
inputs:
|
||||
python-version:
|
||||
description: Python version to use and the Poetry installed with
|
||||
required: true
|
||||
default: '3.10'
|
||||
poetry-version:
|
||||
description: Poetry version to set up
|
||||
required: true
|
||||
default: '1.8.4'
|
||||
poetry-lockfile:
|
||||
description: Path to the Poetry lockfile to restore cache from
|
||||
required: true
|
||||
default: ''
|
||||
|
||||
runs:
|
||||
using: composite
|
||||
steps:
|
||||
- name: Set up Python ${{ inputs.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ inputs.python-version }}
|
||||
cache: pip
|
||||
|
||||
- name: Install Poetry
|
||||
shell: bash
|
||||
run: pip install poetry==${{ inputs.poetry-version }}
|
||||
|
||||
- name: Restore Poetry cache
|
||||
if: ${{ inputs.poetry-lockfile != '' }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ inputs.python-version }}
|
||||
cache: poetry
|
||||
cache-dependency-path: ${{ inputs.poetry-lockfile }}
|
||||
54
.github/pull_request_template.md
vendored
54
.github/pull_request_template.md
vendored
|
|
@ -1,34 +1,32 @@
|
|||
# Checklist:
|
||||
# Summary
|
||||
|
||||
Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
|
||||
|
||||
> [!Tip]
|
||||
> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
|
||||
|
||||
|
||||
# Screenshots
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td>Before: </td>
|
||||
<td>After: </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>...</td>
|
||||
<td>...</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
# Checklist
|
||||
|
||||
> [!IMPORTANT]
|
||||
> Please review the checklist below before submitting your pull request.
|
||||
|
||||
- [ ] Please open an issue before creating a PR or link to an existing issue
|
||||
- [ ] I have performed a self-review of my own code
|
||||
- [ ] I have commented my code, particularly in hard-to-understand areas
|
||||
- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
|
||||
|
||||
# Description
|
||||
|
||||
Describe the big picture of your changes here to communicate to the maintainers why we should accept this pull request. If it fixes a bug or resolves a feature request, be sure to link to that issue. Close issue syntax: `Fixes #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
|
||||
|
||||
Fixes
|
||||
|
||||
## Type of Change
|
||||
|
||||
- [ ] Bug fix (non-breaking change which fixes an issue)
|
||||
- [ ] New feature (non-breaking change which adds functionality)
|
||||
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
|
||||
- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
|
||||
- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
|
||||
- [ ] Dependency upgrade
|
||||
|
||||
# Testing Instructions
|
||||
|
||||
Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
|
||||
|
||||
- [ ] Test A
|
||||
- [ ] Test B
|
||||
|
||||
|
||||
- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
|
||||
- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
|
||||
- [x] I've updated the documentation accordingly.
|
||||
- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
|
||||
|
||||
|
|
|
|||
10
.github/workflows/api-tests.yml
vendored
10
.github/workflows/api-tests.yml
vendored
|
|
@ -28,15 +28,11 @@ jobs:
|
|||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Install Poetry
|
||||
uses: abatilo/actions-poetry@v3
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
- name: Setup Poetry and Python ${{ matrix.python-version }}
|
||||
uses: ./.github/actions/setup-poetry
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
cache: poetry
|
||||
cache-dependency-path: api/poetry.lock
|
||||
poetry-lockfile: api/poetry.lock
|
||||
|
||||
- name: Check Poetry lockfile
|
||||
run: |
|
||||
|
|
|
|||
16
.github/workflows/db-migration-test.yml
vendored
16
.github/workflows/db-migration-test.yml
vendored
|
|
@ -15,25 +15,15 @@ concurrency:
|
|||
jobs:
|
||||
db-migration-test:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
python-version:
|
||||
- "3.10"
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
- name: Setup Poetry and Python
|
||||
uses: ./.github/actions/setup-poetry
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
cache-dependency-path: |
|
||||
api/pyproject.toml
|
||||
api/poetry.lock
|
||||
|
||||
- name: Install Poetry
|
||||
uses: abatilo/actions-poetry@v3
|
||||
poetry-lockfile: api/poetry.lock
|
||||
|
||||
- name: Install dependencies
|
||||
run: poetry install -C api
|
||||
|
|
|
|||
24
.github/workflows/style.yml
vendored
24
.github/workflows/style.yml
vendored
|
|
@ -22,34 +22,28 @@ jobs:
|
|||
id: changed-files
|
||||
uses: tj-actions/changed-files@v45
|
||||
with:
|
||||
files: api/**
|
||||
files: |
|
||||
api/**
|
||||
.github/workflows/style.yml
|
||||
|
||||
- name: Install Poetry
|
||||
- name: Setup Poetry and Python
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
|
||||
uses: abatilo/actions-poetry@v3
|
||||
uses: ./.github/actions/setup-poetry
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
|
||||
with:
|
||||
python-version: '3.10'
|
||||
|
||||
- name: Python dependencies
|
||||
- name: Install dependencies
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
|
||||
run: poetry install -C api --only lint
|
||||
|
||||
- name: Ruff check
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
|
||||
run: poetry run -C api ruff check ./api
|
||||
run: |
|
||||
poetry run -C api ruff check ./api
|
||||
poetry run -C api ruff format --check ./api
|
||||
|
||||
- name: Dotenv check
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
|
||||
run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
|
||||
|
||||
- name: Ruff formatter check
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
|
||||
run: poetry run -C api ruff format --check ./api
|
||||
|
||||
- name: Lint hints
|
||||
if: failure()
|
||||
run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
|
||||
|
|
|
|||
10
.github/workflows/vdb-tests.yml
vendored
10
.github/workflows/vdb-tests.yml
vendored
|
|
@ -28,15 +28,11 @@ jobs:
|
|||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Install Poetry
|
||||
uses: abatilo/actions-poetry@v3
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
- name: Setup Poetry and Python ${{ matrix.python-version }}
|
||||
uses: ./.github/actions/setup-poetry
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
cache: poetry
|
||||
cache-dependency-path: api/poetry.lock
|
||||
poetry-lockfile: api/poetry.lock
|
||||
|
||||
- name: Check Poetry lockfile
|
||||
run: |
|
||||
|
|
|
|||
|
|
@ -19,6 +19,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="join Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
|
|
@ -177,3 +180,4 @@ To protect your privacy, please avoid posting security issues on GitHub. Instead
|
|||
## License
|
||||
|
||||
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
|
||||
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="join Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="join Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat en Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="join Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="seguir en X(Twitter)"></a>
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat sur Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="join Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="suivre sur X(Twitter)"></a>
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="Discordでチャット"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="X(Twitter)でフォロー"></a>
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="Follow Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="Follow Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
|
|
|
|||
|
|
@ -19,6 +19,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="Follow Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
|
|
|
|||
180
README_SI.md
Normal file
180
README_SI.md
Normal file
|
|
@ -0,0 +1,180 @@
|
|||
|
||||
|
||||
<p align="center">
|
||||
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
|
||||
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
|
||||
<a href="https://docs.dify.ai">Dokumentacija</a> ·
|
||||
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://dify.ai" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
|
||||
<a href="https://dify.ai/pricing" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
|
||||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
<a href="https://hub.docker.com/u/langgenius" target="_blank">
|
||||
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
|
||||
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
|
||||
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
|
||||
<a href="https://github.com/langgenius/dify/" target="_blank">
|
||||
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
|
||||
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
|
||||
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
|
||||
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
|
||||
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
|
||||
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
|
||||
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
|
||||
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
|
||||
<a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
|
||||
Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
|
||||
|
||||
## Hitri začetek
|
||||
> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
|
||||
>
|
||||
>- CPU >= 2 Core
|
||||
>- RAM >= 4 GiB
|
||||
|
||||
</br>
|
||||
|
||||
Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
|
||||
|
||||
```bash
|
||||
cd dify
|
||||
cd docker
|
||||
cp .env.example .env
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
|
||||
|
||||
#### Iskanje pomoči
|
||||
Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
|
||||
|
||||
> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
|
||||
|
||||
## Ključne značilnosti
|
||||
**1. Potek dela**:
|
||||
Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
|
||||
|
||||
|
||||
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
|
||||
|
||||
|
||||
|
||||
**2. Celovita podpora za modele**:
|
||||
Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
|
||||
|
||||
|
||||
|
||||
|
||||
**3. Prompt IDE**:
|
||||
intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu.
|
||||
|
||||
**4. RAG Pipeline**:
|
||||
E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
|
||||
|
||||
**5. Agent capabilities**:
|
||||
definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
|
||||
|
||||
**6. LLMOps**:
|
||||
Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
|
||||
|
||||
**7. Backend-as-a-Service**:
|
||||
AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
|
||||
|
||||
|
||||
## Uporaba Dify
|
||||
|
||||
- **Cloud </br>**
|
||||
Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
|
||||
|
||||
- **Self-hosting Dify Community Edition</br>**
|
||||
Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
|
||||
|
||||
|
||||
- **Dify za podjetja/organizacije</br>**
|
||||
Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
|
||||
> Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
|
||||
|
||||
|
||||
## Staying ahead
|
||||
|
||||
Star Dify on GitHub and be instantly notified of new releases.
|
||||
|
||||
|
||||
|
||||
|
||||
## Napredne nastavitve
|
||||
|
||||
Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
|
||||
|
||||
Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
|
||||
|
||||
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
|
||||
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
|
||||
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
|
||||
|
||||
#### Uporaba Terraform za uvajanje
|
||||
|
||||
namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
|
||||
|
||||
##### Azure Global
|
||||
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
|
||||
|
||||
##### Google Cloud
|
||||
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
|
||||
|
||||
## Prispevam
|
||||
|
||||
Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah.
|
||||
|
||||
|
||||
|
||||
> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
|
||||
|
||||
## Skupnost in stik
|
||||
|
||||
* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
|
||||
* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
|
||||
* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
|
||||
* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
|
||||
|
||||
**Contributors**
|
||||
|
||||
<a href="https://github.com/langgenius/dify/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
|
||||
</a>
|
||||
|
||||
## Star history
|
||||
|
||||
[](https://star-history.com/#langgenius/dify&Date)
|
||||
|
||||
|
||||
## Varnostno razkritje
|
||||
|
||||
Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.
|
||||
|
||||
## Licenca
|
||||
|
||||
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
|
||||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="Discord'da sohbet et"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="Follow Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="X(Twitter)'da takip et"></a>
|
||||
|
|
|
|||
|
|
@ -15,6 +15,9 @@
|
|||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat trên Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="Follow Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="theo dõi trên X(Twitter)"></a>
|
||||
|
|
|
|||
|
|
@ -367,6 +367,10 @@ LOG_FILE=
|
|||
LOG_FILE_MAX_SIZE=20
|
||||
# Log file max backup count
|
||||
LOG_FILE_BACKUP_COUNT=5
|
||||
# Log dateformat
|
||||
LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
|
||||
# Log Timezone
|
||||
LOG_TZ=UTC
|
||||
|
||||
# Indexing configuration
|
||||
INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
|
||||
|
|
@ -396,3 +400,5 @@ POSITION_PROVIDER_EXCLUDES=
|
|||
|
||||
# Reset password token expiry minutes
|
||||
RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
|
||||
|
||||
CREATE_TIDB_SERVICE_JOB_ENABLED=false
|
||||
|
|
@ -4,7 +4,7 @@ FROM python:3.10-slim-bookworm AS base
|
|||
WORKDIR /app/api
|
||||
|
||||
# Install Poetry
|
||||
ENV POETRY_VERSION=1.8.3
|
||||
ENV POETRY_VERSION=1.8.4
|
||||
|
||||
# if you located in China, you can use aliyun mirror to speed up
|
||||
# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
|
||||
|
|
@ -55,7 +55,7 @@ RUN apt-get update \
|
|||
&& echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
|
||||
&& apt-get update \
|
||||
# For Security
|
||||
&& apt-get install -y --no-install-recommends expat=2.6.3-2 libldap-2.5-0=2.5.18+dfsg-3+b1 perl=5.40.0-6 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
|
||||
&& apt-get install -y --no-install-recommends expat=2.6.4-1 libldap-2.5-0=2.5.18+dfsg-3+b1 perl=5.40.0-7 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
|
||||
# install a chinese font to support the use of tools like matplotlib
|
||||
&& apt-get install -y fonts-noto-cjk \
|
||||
&& apt-get autoremove -y \
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
import os
|
||||
import sys
|
||||
|
||||
from configs import dify_config
|
||||
|
||||
|
|
@ -29,6 +30,9 @@ from models import account, dataset, model, source, task, tool, tools, web # no
|
|||
|
||||
# DO NOT REMOVE ABOVE
|
||||
|
||||
if sys.version_info[:2] == (3, 10):
|
||||
print("Warning: Python 3.10 will not be supported in the next version.")
|
||||
|
||||
|
||||
warnings.simplefilter("ignore", ResourceWarning)
|
||||
|
||||
|
|
@ -49,7 +53,6 @@ if dify_config.TESTING:
|
|||
@app.after_request
|
||||
def after_request(response):
|
||||
"""Add Version headers to the response."""
|
||||
response.set_cookie("remember_token", "", expires=0)
|
||||
response.headers.add("X-Version", dify_config.CURRENT_VERSION)
|
||||
response.headers.add("X-Env", dify_config.DEPLOY_ENV)
|
||||
return response
|
||||
|
|
|
|||
|
|
@ -376,7 +376,7 @@ class LoggingConfig(BaseSettings):
|
|||
|
||||
LOG_TZ: Optional[str] = Field(
|
||||
description="Timezone for log timestamps (e.g., 'America/New_York')",
|
||||
default=None,
|
||||
default="UTC",
|
||||
)
|
||||
|
||||
|
||||
|
|
@ -611,6 +611,11 @@ class DataSetConfig(BaseSettings):
|
|||
default=500,
|
||||
)
|
||||
|
||||
CREATE_TIDB_SERVICE_JOB_ENABLED: bool = Field(
|
||||
description="Enable or disable create tidb service job",
|
||||
default=False,
|
||||
)
|
||||
|
||||
|
||||
class WorkspaceConfig(BaseSettings):
|
||||
"""
|
||||
|
|
|
|||
|
|
@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
|
|||
|
||||
CURRENT_VERSION: str = Field(
|
||||
description="Dify version",
|
||||
default="0.11.0",
|
||||
default="0.11.1",
|
||||
)
|
||||
|
||||
COMMIT_SHA: str = Field(
|
||||
|
|
|
|||
|
|
@ -17,6 +17,7 @@ language_timezone_mapping = {
|
|||
"hi-IN": "Asia/Kolkata",
|
||||
"tr-TR": "Europe/Istanbul",
|
||||
"fa-IR": "Asia/Tehran",
|
||||
"sl-SI": "Europe/Ljubljana",
|
||||
}
|
||||
|
||||
languages = list(language_timezone_mapping.keys())
|
||||
|
|
|
|||
|
|
@ -317,8 +317,11 @@ class DatasetInitApi(Resource):
|
|||
raise ValueError("embedding model and embedding model provider are required for high quality indexing.")
|
||||
try:
|
||||
model_manager = ModelManager()
|
||||
model_manager.get_default_model_instance(
|
||||
tenant_id=current_user.current_tenant_id, model_type=ModelType.TEXT_EMBEDDING
|
||||
model_manager.get_model_instance(
|
||||
tenant_id=current_user.current_tenant_id,
|
||||
provider=args["embedding_model_provider"],
|
||||
model_type=ModelType.TEXT_EMBEDDING,
|
||||
model=args["embedding_model"],
|
||||
)
|
||||
except InvokeAuthorizationError:
|
||||
raise ProviderNotInitializeError(
|
||||
|
|
|
|||
|
|
@ -62,9 +62,10 @@ class ConversationDetailApi(Resource):
|
|||
conversation_id = str(c_id)
|
||||
|
||||
try:
|
||||
return ConversationService.delete(app_model, conversation_id, end_user)
|
||||
ConversationService.delete(app_model, conversation_id, end_user)
|
||||
except services.errors.conversation.ConversationNotExistsError:
|
||||
raise NotFound("Conversation Not Exists.")
|
||||
return {"result": "success"}, 200
|
||||
|
||||
|
||||
class ConversationRenameApi(Resource):
|
||||
|
|
|
|||
|
|
@ -10,6 +10,7 @@ from controllers.service_api.app.error import NotChatAppError
|
|||
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
|
||||
from core.app.entities.app_invoke_entities import InvokeFrom
|
||||
from fields.conversation_fields import message_file_fields
|
||||
from fields.raws import FilesContainedField
|
||||
from libs.helper import TimestampField, uuid_value
|
||||
from models.model import App, AppMode, EndUser
|
||||
from services.errors.message import SuggestedQuestionsAfterAnswerDisabledError
|
||||
|
|
@ -55,7 +56,7 @@ class MessageListApi(Resource):
|
|||
"id": fields.String,
|
||||
"conversation_id": fields.String,
|
||||
"parent_message_id": fields.String,
|
||||
"inputs": fields.Raw,
|
||||
"inputs": FilesContainedField,
|
||||
"query": fields.String,
|
||||
"answer": fields.String(attribute="re_sign_file_url_answer"),
|
||||
"message_files": fields.List(fields.Nested(message_file_fields)),
|
||||
|
|
|
|||
|
|
@ -30,6 +30,7 @@ from core.model_runtime.entities import (
|
|||
ToolPromptMessage,
|
||||
UserPromptMessage,
|
||||
)
|
||||
from core.model_runtime.entities.message_entities import ImagePromptMessageContent
|
||||
from core.model_runtime.entities.model_entities import ModelFeature
|
||||
from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
|
||||
from core.model_runtime.utils.encoders import jsonable_encoder
|
||||
|
|
@ -65,7 +66,7 @@ class BaseAgentRunner(AppRunner):
|
|||
prompt_messages: Optional[list[PromptMessage]] = None,
|
||||
variables_pool: Optional[ToolRuntimeVariablePool] = None,
|
||||
db_variables: Optional[ToolConversationVariables] = None,
|
||||
model_instance: ModelInstance = None,
|
||||
model_instance: ModelInstance | None = None,
|
||||
) -> None:
|
||||
self.tenant_id = tenant_id
|
||||
self.application_generate_entity = application_generate_entity
|
||||
|
|
@ -508,24 +509,27 @@ class BaseAgentRunner(AppRunner):
|
|||
|
||||
def organize_agent_user_prompt(self, message: Message) -> UserPromptMessage:
|
||||
files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
|
||||
if files:
|
||||
if not files:
|
||||
return UserPromptMessage(content=message.query)
|
||||
file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
|
||||
if not file_extra_config:
|
||||
return UserPromptMessage(content=message.query)
|
||||
|
||||
image_detail_config = file_extra_config.image_config.detail if file_extra_config.image_config else None
|
||||
image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
|
||||
|
||||
if file_extra_config:
|
||||
file_objs = file_factory.build_from_message_files(
|
||||
message_files=files, tenant_id=self.tenant_id, config=file_extra_config
|
||||
)
|
||||
else:
|
||||
file_objs = []
|
||||
|
||||
if not file_objs:
|
||||
return UserPromptMessage(content=message.query)
|
||||
else:
|
||||
prompt_message_contents: list[PromptMessageContent] = []
|
||||
prompt_message_contents.append(TextPromptMessageContent(data=message.query))
|
||||
for file_obj in file_objs:
|
||||
prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
|
||||
|
||||
for file in file_objs:
|
||||
prompt_message_contents.append(
|
||||
file_manager.to_prompt_message_content(
|
||||
file,
|
||||
image_detail_config=image_detail_config,
|
||||
)
|
||||
)
|
||||
return UserPromptMessage(content=prompt_message_contents)
|
||||
else:
|
||||
return UserPromptMessage(content=message.query)
|
||||
|
|
|
|||
|
|
@ -10,6 +10,7 @@ from core.model_runtime.entities import (
|
|||
TextPromptMessageContent,
|
||||
UserPromptMessage,
|
||||
)
|
||||
from core.model_runtime.entities.message_entities import ImagePromptMessageContent
|
||||
from core.model_runtime.utils.encoders import jsonable_encoder
|
||||
|
||||
|
||||
|
|
@ -36,8 +37,24 @@ class CotChatAgentRunner(CotAgentRunner):
|
|||
if self.files:
|
||||
prompt_message_contents: list[PromptMessageContent] = []
|
||||
prompt_message_contents.append(TextPromptMessageContent(data=query))
|
||||
for file_obj in self.files:
|
||||
prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
|
||||
|
||||
# get image detail config
|
||||
image_detail_config = (
|
||||
self.application_generate_entity.file_upload_config.image_config.detail
|
||||
if (
|
||||
self.application_generate_entity.file_upload_config
|
||||
and self.application_generate_entity.file_upload_config.image_config
|
||||
)
|
||||
else None
|
||||
)
|
||||
image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
|
||||
for file in self.files:
|
||||
prompt_message_contents.append(
|
||||
file_manager.to_prompt_message_content(
|
||||
file,
|
||||
image_detail_config=image_detail_config,
|
||||
)
|
||||
)
|
||||
|
||||
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
|
||||
else:
|
||||
|
|
|
|||
|
|
@ -22,6 +22,7 @@ from core.model_runtime.entities import (
|
|||
ToolPromptMessage,
|
||||
UserPromptMessage,
|
||||
)
|
||||
from core.model_runtime.entities.message_entities import ImagePromptMessageContent
|
||||
from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform
|
||||
from core.tools.entities.tool_entities import ToolInvokeMeta
|
||||
from core.tools.tool_engine import ToolEngine
|
||||
|
|
@ -397,8 +398,24 @@ class FunctionCallAgentRunner(BaseAgentRunner):
|
|||
if self.files:
|
||||
prompt_message_contents: list[PromptMessageContent] = []
|
||||
prompt_message_contents.append(TextPromptMessageContent(data=query))
|
||||
for file_obj in self.files:
|
||||
prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
|
||||
|
||||
# get image detail config
|
||||
image_detail_config = (
|
||||
self.application_generate_entity.file_upload_config.image_config.detail
|
||||
if (
|
||||
self.application_generate_entity.file_upload_config
|
||||
and self.application_generate_entity.file_upload_config.image_config
|
||||
)
|
||||
else None
|
||||
)
|
||||
image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
|
||||
for file in self.files:
|
||||
prompt_message_contents.append(
|
||||
file_manager.to_prompt_message_content(
|
||||
file,
|
||||
image_detail_config=image_detail_config,
|
||||
)
|
||||
)
|
||||
|
||||
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
|
||||
else:
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ from typing import Any, Optional
|
|||
|
||||
from pydantic import BaseModel, Field, field_validator
|
||||
|
||||
from core.file import FileExtraConfig, FileTransferMethod, FileType
|
||||
from core.file import FileTransferMethod, FileType, FileUploadConfig
|
||||
from core.model_runtime.entities.message_entities import PromptMessageRole
|
||||
from models.model import AppMode
|
||||
|
||||
|
|
@ -211,7 +211,7 @@ class TracingConfigEntity(BaseModel):
|
|||
|
||||
|
||||
class AppAdditionalFeatures(BaseModel):
|
||||
file_upload: Optional[FileExtraConfig] = None
|
||||
file_upload: Optional[FileUploadConfig] = None
|
||||
opening_statement: Optional[str] = None
|
||||
suggested_questions: list[str] = []
|
||||
suggested_questions_after_answer: bool = False
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
from collections.abc import Mapping
|
||||
from typing import Any
|
||||
|
||||
from core.file import FileExtraConfig
|
||||
from core.file import FileUploadConfig
|
||||
|
||||
|
||||
class FileUploadConfigManager:
|
||||
|
|
@ -29,19 +29,18 @@ class FileUploadConfigManager:
|
|||
if is_vision:
|
||||
data["image_config"]["detail"] = file_upload_dict.get("image", {}).get("detail", "low")
|
||||
|
||||
return FileExtraConfig.model_validate(data)
|
||||
return FileUploadConfig.model_validate(data)
|
||||
|
||||
@classmethod
|
||||
def validate_and_set_defaults(cls, config: dict, is_vision: bool = True) -> tuple[dict, list[str]]:
|
||||
def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
|
||||
"""
|
||||
Validate and set defaults for file upload feature
|
||||
|
||||
:param config: app model config args
|
||||
:param is_vision: if True, the feature is vision feature
|
||||
"""
|
||||
if not config.get("file_upload"):
|
||||
config["file_upload"] = {}
|
||||
else:
|
||||
FileExtraConfig.model_validate(config["file_upload"])
|
||||
FileUploadConfig.model_validate(config["file_upload"])
|
||||
|
||||
return config, ["file_upload"]
|
||||
|
|
|
|||
|
|
@ -52,9 +52,7 @@ class AdvancedChatAppConfigManager(BaseAppConfigManager):
|
|||
related_config_keys = []
|
||||
|
||||
# file upload validation
|
||||
config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(
|
||||
config=config, is_vision=False
|
||||
)
|
||||
config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
|
||||
related_config_keys.extend(current_related_config_keys)
|
||||
|
||||
# opening_statement
|
||||
|
|
|
|||
|
|
@ -26,7 +26,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
|
|||
from extensions.ext_database import db
|
||||
from factories import file_factory
|
||||
from models.account import Account
|
||||
from models.enums import CreatedByRole
|
||||
from models.model import App, Conversation, EndUser, Message
|
||||
from models.workflow import Workflow
|
||||
|
||||
|
|
@ -98,13 +97,10 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
|
|||
# parse files
|
||||
files = args["files"] if args.get("files") else []
|
||||
file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
|
||||
role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
|
||||
if file_extra_config:
|
||||
file_objs = file_factory.build_from_mappings(
|
||||
mappings=files,
|
||||
tenant_id=app_model.tenant_id,
|
||||
user_id=user.id,
|
||||
role=role,
|
||||
config=file_extra_config,
|
||||
)
|
||||
else:
|
||||
|
|
@ -127,10 +123,11 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
|
|||
application_generate_entity = AdvancedChatAppGenerateEntity(
|
||||
task_id=str(uuid.uuid4()),
|
||||
app_config=app_config,
|
||||
file_upload_config=file_extra_config,
|
||||
conversation_id=conversation.id if conversation else None,
|
||||
inputs=conversation.inputs
|
||||
if conversation
|
||||
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
|
||||
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
|
||||
query=query,
|
||||
files=file_objs,
|
||||
parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
|
||||
|
|
|
|||
|
|
@ -23,7 +23,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
|
|||
from extensions.ext_database import db
|
||||
from factories import file_factory
|
||||
from models import Account, App, EndUser
|
||||
from models.enums import CreatedByRole
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
|
@ -103,8 +102,6 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
|
|||
# always enable retriever resource in debugger mode
|
||||
override_model_config_dict["retriever_resource"] = {"enabled": True}
|
||||
|
||||
role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
|
||||
|
||||
# parse files
|
||||
files = args.get("files") or []
|
||||
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
|
||||
|
|
@ -112,8 +109,6 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
|
|||
file_objs = file_factory.build_from_mappings(
|
||||
mappings=files,
|
||||
tenant_id=app_model.tenant_id,
|
||||
user_id=user.id,
|
||||
role=role,
|
||||
config=file_extra_config,
|
||||
)
|
||||
else:
|
||||
|
|
@ -135,10 +130,11 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
|
|||
task_id=str(uuid.uuid4()),
|
||||
app_config=app_config,
|
||||
model_conf=ModelConfigConverter.convert(app_config),
|
||||
file_upload_config=file_extra_config,
|
||||
conversation_id=conversation.id if conversation else None,
|
||||
inputs=conversation.inputs
|
||||
if conversation
|
||||
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
|
||||
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
|
||||
query=query,
|
||||
files=file_objs,
|
||||
parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
|
||||
|
|
|
|||
|
|
@ -2,12 +2,11 @@ from collections.abc import Mapping
|
|||
from typing import TYPE_CHECKING, Any, Optional
|
||||
|
||||
from core.app.app_config.entities import VariableEntityType
|
||||
from core.file import File, FileExtraConfig
|
||||
from core.file import File, FileUploadConfig
|
||||
from factories import file_factory
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from core.app.app_config.entities import AppConfig, VariableEntity
|
||||
from models.enums import CreatedByRole
|
||||
|
||||
|
||||
class BaseAppGenerator:
|
||||
|
|
@ -16,8 +15,6 @@ class BaseAppGenerator:
|
|||
*,
|
||||
user_inputs: Optional[Mapping[str, Any]],
|
||||
app_config: "AppConfig",
|
||||
user_id: str,
|
||||
role: "CreatedByRole",
|
||||
) -> Mapping[str, Any]:
|
||||
user_inputs = user_inputs or {}
|
||||
# Filter input variables from form configuration, handle required fields, default values, and option values
|
||||
|
|
@ -34,9 +31,7 @@ class BaseAppGenerator:
|
|||
k: file_factory.build_from_mapping(
|
||||
mapping=v,
|
||||
tenant_id=app_config.tenant_id,
|
||||
user_id=user_id,
|
||||
role=role,
|
||||
config=FileExtraConfig(
|
||||
config=FileUploadConfig(
|
||||
allowed_file_types=entity_dictionary[k].allowed_file_types,
|
||||
allowed_extensions=entity_dictionary[k].allowed_file_extensions,
|
||||
allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
|
||||
|
|
@ -50,9 +45,7 @@ class BaseAppGenerator:
|
|||
k: file_factory.build_from_mappings(
|
||||
mappings=v,
|
||||
tenant_id=app_config.tenant_id,
|
||||
user_id=user_id,
|
||||
role=role,
|
||||
config=FileExtraConfig(
|
||||
config=FileUploadConfig(
|
||||
allowed_file_types=entity_dictionary[k].allowed_file_types,
|
||||
allowed_extensions=entity_dictionary[k].allowed_file_extensions,
|
||||
allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
|
||||
|
|
|
|||
|
|
@ -23,7 +23,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
|
|||
from extensions.ext_database import db
|
||||
from factories import file_factory
|
||||
from models.account import Account
|
||||
from models.enums import CreatedByRole
|
||||
from models.model import App, EndUser
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
|
@ -101,8 +100,6 @@ class ChatAppGenerator(MessageBasedAppGenerator):
|
|||
# always enable retriever resource in debugger mode
|
||||
override_model_config_dict["retriever_resource"] = {"enabled": True}
|
||||
|
||||
role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
|
||||
|
||||
# parse files
|
||||
files = args["files"] if args.get("files") else []
|
||||
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
|
||||
|
|
@ -110,8 +107,6 @@ class ChatAppGenerator(MessageBasedAppGenerator):
|
|||
file_objs = file_factory.build_from_mappings(
|
||||
mappings=files,
|
||||
tenant_id=app_model.tenant_id,
|
||||
user_id=user.id,
|
||||
role=role,
|
||||
config=file_extra_config,
|
||||
)
|
||||
else:
|
||||
|
|
@ -133,10 +128,11 @@ class ChatAppGenerator(MessageBasedAppGenerator):
|
|||
task_id=str(uuid.uuid4()),
|
||||
app_config=app_config,
|
||||
model_conf=ModelConfigConverter.convert(app_config),
|
||||
file_upload_config=file_extra_config,
|
||||
conversation_id=conversation.id if conversation else None,
|
||||
inputs=conversation.inputs
|
||||
if conversation
|
||||
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
|
||||
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
|
||||
query=query,
|
||||
files=file_objs,
|
||||
parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
|
||||
|
|
|
|||
|
|
@ -22,7 +22,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
|
|||
from extensions.ext_database import db
|
||||
from factories import file_factory
|
||||
from models import Account, App, EndUser, Message
|
||||
from models.enums import CreatedByRole
|
||||
from services.errors.app import MoreLikeThisDisabledError
|
||||
from services.errors.message import MessageNotExistsError
|
||||
|
||||
|
|
@ -88,8 +87,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
|
|||
tenant_id=app_model.tenant_id, config=args.get("model_config")
|
||||
)
|
||||
|
||||
role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
|
||||
|
||||
# parse files
|
||||
files = args["files"] if args.get("files") else []
|
||||
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
|
||||
|
|
@ -97,8 +94,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
|
|||
file_objs = file_factory.build_from_mappings(
|
||||
mappings=files,
|
||||
tenant_id=app_model.tenant_id,
|
||||
user_id=user.id,
|
||||
role=role,
|
||||
config=file_extra_config,
|
||||
)
|
||||
else:
|
||||
|
|
@ -110,7 +105,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
|
|||
)
|
||||
|
||||
# get tracing instance
|
||||
user_id = user.id if isinstance(user, Account) else user.session_id
|
||||
trace_manager = TraceQueueManager(app_model.id)
|
||||
|
||||
# init application generate entity
|
||||
|
|
@ -118,7 +112,8 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
|
|||
task_id=str(uuid.uuid4()),
|
||||
app_config=app_config,
|
||||
model_conf=ModelConfigConverter.convert(app_config),
|
||||
inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
|
||||
file_upload_config=file_extra_config,
|
||||
inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
|
||||
query=query,
|
||||
files=file_objs,
|
||||
user_id=user.id,
|
||||
|
|
@ -259,14 +254,11 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
|
|||
override_model_config_dict["model"] = model_dict
|
||||
|
||||
# parse files
|
||||
role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
|
||||
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict)
|
||||
if file_extra_config:
|
||||
file_objs = file_factory.build_from_mappings(
|
||||
mappings=message.message_files,
|
||||
tenant_id=app_model.tenant_id,
|
||||
user_id=user.id,
|
||||
role=role,
|
||||
config=file_extra_config,
|
||||
)
|
||||
else:
|
||||
|
|
|
|||
|
|
@ -46,9 +46,7 @@ class WorkflowAppConfigManager(BaseAppConfigManager):
|
|||
related_config_keys = []
|
||||
|
||||
# file upload validation
|
||||
config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(
|
||||
config=config, is_vision=False
|
||||
)
|
||||
config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
|
||||
related_config_keys.extend(current_related_config_keys)
|
||||
|
||||
# text_to_speech
|
||||
|
|
|
|||
|
|
@ -25,7 +25,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
|
|||
from extensions.ext_database import db
|
||||
from factories import file_factory
|
||||
from models import Account, App, EndUser, Workflow
|
||||
from models.enums import CreatedByRole
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
|
@ -70,15 +69,11 @@ class WorkflowAppGenerator(BaseAppGenerator):
|
|||
):
|
||||
files: Sequence[Mapping[str, Any]] = args.get("files") or []
|
||||
|
||||
role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
|
||||
|
||||
# parse files
|
||||
file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
|
||||
system_files = file_factory.build_from_mappings(
|
||||
mappings=files,
|
||||
tenant_id=app_model.tenant_id,
|
||||
user_id=user.id,
|
||||
role=role,
|
||||
config=file_extra_config,
|
||||
)
|
||||
|
||||
|
|
@ -100,7 +95,8 @@ class WorkflowAppGenerator(BaseAppGenerator):
|
|||
application_generate_entity = WorkflowAppGenerateEntity(
|
||||
task_id=str(uuid.uuid4()),
|
||||
app_config=app_config,
|
||||
inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
|
||||
file_upload_config=file_extra_config,
|
||||
inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
|
||||
files=system_files,
|
||||
user_id=user.id,
|
||||
stream=stream,
|
||||
|
|
|
|||
|
|
@ -361,6 +361,7 @@ class WorkflowBasedAppRunner(AppRunner):
|
|||
node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
|
||||
output=event.pre_iteration_output,
|
||||
parallel_mode_run_id=event.parallel_mode_run_id,
|
||||
duration=event.duration,
|
||||
)
|
||||
)
|
||||
elif isinstance(event, (IterationRunSucceededEvent | IterationRunFailedEvent)):
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@ from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validat
|
|||
from constants import UUID_NIL
|
||||
from core.app.app_config.entities import AppConfig, EasyUIBasedAppConfig, WorkflowUIBasedAppConfig
|
||||
from core.entities.provider_configuration import ProviderModelBundle
|
||||
from core.file.models import File
|
||||
from core.file import File, FileUploadConfig
|
||||
from core.model_runtime.entities.model_entities import AIModelEntity
|
||||
from core.ops.ops_trace_manager import TraceQueueManager
|
||||
|
||||
|
|
@ -80,6 +80,7 @@ class AppGenerateEntity(BaseModel):
|
|||
|
||||
# app config
|
||||
app_config: AppConfig
|
||||
file_upload_config: Optional[FileUploadConfig] = None
|
||||
|
||||
inputs: Mapping[str, Any]
|
||||
files: Sequence[File]
|
||||
|
|
|
|||
|
|
@ -111,6 +111,7 @@ class QueueIterationNextEvent(AppQueueEvent):
|
|||
"""iteratoin run in parallel mode run id"""
|
||||
node_run_index: int
|
||||
output: Optional[Any] = None # output for the current iteration
|
||||
duration: Optional[float] = None
|
||||
|
||||
@field_validator("output", mode="before")
|
||||
@classmethod
|
||||
|
|
@ -307,6 +308,8 @@ class QueueNodeSucceededEvent(AppQueueEvent):
|
|||
execution_metadata: Optional[dict[NodeRunMetadataKey, Any]] = None
|
||||
|
||||
error: Optional[str] = None
|
||||
"""single iteration duration map"""
|
||||
iteration_duration_map: Optional[dict[str, float]] = None
|
||||
|
||||
|
||||
class QueueNodeInIterationFailedEvent(AppQueueEvent):
|
||||
|
|
|
|||
|
|
@ -434,6 +434,7 @@ class IterationNodeNextStreamResponse(StreamResponse):
|
|||
parallel_id: Optional[str] = None
|
||||
parallel_start_node_id: Optional[str] = None
|
||||
parallel_mode_run_id: Optional[str] = None
|
||||
duration: Optional[float] = None
|
||||
|
||||
event: StreamEvent = StreamEvent.ITERATION_NEXT
|
||||
workflow_run_id: str
|
||||
|
|
|
|||
|
|
@ -624,6 +624,7 @@ class WorkflowCycleManage:
|
|||
parallel_id=event.parallel_id,
|
||||
parallel_start_node_id=event.parallel_start_node_id,
|
||||
parallel_mode_run_id=event.parallel_mode_run_id,
|
||||
duration=event.duration,
|
||||
),
|
||||
)
|
||||
|
||||
|
|
|
|||
|
|
@ -2,13 +2,13 @@ from .constants import FILE_MODEL_IDENTITY
|
|||
from .enums import ArrayFileAttribute, FileAttribute, FileBelongsTo, FileTransferMethod, FileType
|
||||
from .models import (
|
||||
File,
|
||||
FileExtraConfig,
|
||||
FileUploadConfig,
|
||||
ImageConfig,
|
||||
)
|
||||
|
||||
__all__ = [
|
||||
"FileType",
|
||||
"FileExtraConfig",
|
||||
"FileUploadConfig",
|
||||
"FileTransferMethod",
|
||||
"FileBelongsTo",
|
||||
"File",
|
||||
|
|
|
|||
|
|
@ -33,25 +33,28 @@ def get_attr(*, file: File, attr: FileAttribute):
|
|||
raise ValueError(f"Invalid file attribute: {attr}")
|
||||
|
||||
|
||||
def to_prompt_message_content(f: File, /):
|
||||
def to_prompt_message_content(
|
||||
f: File,
|
||||
/,
|
||||
*,
|
||||
image_detail_config: ImagePromptMessageContent.DETAIL = ImagePromptMessageContent.DETAIL.LOW,
|
||||
):
|
||||
"""
|
||||
Convert a File object to an ImagePromptMessageContent object.
|
||||
Convert a File object to an ImagePromptMessageContent or AudioPromptMessageContent object.
|
||||
|
||||
This function takes a File object and converts it to an ImagePromptMessageContent
|
||||
object, which can be used as a prompt for image-based AI models.
|
||||
This function takes a File object and converts it to an appropriate PromptMessageContent
|
||||
object, which can be used as a prompt for image or audio-based AI models.
|
||||
|
||||
Args:
|
||||
file (File): The File object to convert. Must be of type FileType.IMAGE.
|
||||
f (File): The File object to convert.
|
||||
detail (Optional[ImagePromptMessageContent.DETAIL]): The detail level for image prompts.
|
||||
If not provided, defaults to ImagePromptMessageContent.DETAIL.LOW.
|
||||
|
||||
Returns:
|
||||
ImagePromptMessageContent: An object containing the image data and detail level.
|
||||
Union[ImagePromptMessageContent, AudioPromptMessageContent]: An object containing the file data and detail level
|
||||
|
||||
Raises:
|
||||
ValueError: If the file is not an image or if the file data is missing.
|
||||
|
||||
Note:
|
||||
The detail level of the image prompt is determined by the file's extra_config.
|
||||
If not specified, it defaults to ImagePromptMessageContent.DETAIL.LOW.
|
||||
ValueError: If the file type is not supported or if required data is missing.
|
||||
"""
|
||||
match f.type:
|
||||
case FileType.IMAGE:
|
||||
|
|
@ -60,12 +63,7 @@ def to_prompt_message_content(f: File, /):
|
|||
else:
|
||||
data = _to_base64_data_string(f)
|
||||
|
||||
if f._extra_config and f._extra_config.image_config and f._extra_config.image_config.detail:
|
||||
detail = f._extra_config.image_config.detail
|
||||
else:
|
||||
detail = ImagePromptMessageContent.DETAIL.LOW
|
||||
|
||||
return ImagePromptMessageContent(data=data, detail=detail)
|
||||
return ImagePromptMessageContent(data=data, detail=image_detail_config)
|
||||
case FileType.AUDIO:
|
||||
encoded_string = _file_to_encoded_string(f)
|
||||
if f.extension is None:
|
||||
|
|
@ -78,7 +76,7 @@ def to_prompt_message_content(f: File, /):
|
|||
data = _to_base64_data_string(f)
|
||||
return VideoPromptMessageContent(data=data, format=f.extension.lstrip("."))
|
||||
case _:
|
||||
raise ValueError(f"file type {f.type} is not supported")
|
||||
raise ValueError("file type f.type is not supported")
|
||||
|
||||
|
||||
def download(f: File, /):
|
||||
|
|
|
|||
|
|
@ -21,7 +21,7 @@ class ImageConfig(BaseModel):
|
|||
detail: ImagePromptMessageContent.DETAIL | None = None
|
||||
|
||||
|
||||
class FileExtraConfig(BaseModel):
|
||||
class FileUploadConfig(BaseModel):
|
||||
"""
|
||||
File Upload Entity.
|
||||
"""
|
||||
|
|
@ -46,7 +46,6 @@ class File(BaseModel):
|
|||
extension: Optional[str] = Field(default=None, description="File extension, should contains dot")
|
||||
mime_type: Optional[str] = None
|
||||
size: int = -1
|
||||
_extra_config: FileExtraConfig | None = None
|
||||
|
||||
def to_dict(self) -> Mapping[str, str | int | None]:
|
||||
data = self.model_dump(mode="json")
|
||||
|
|
@ -107,34 +106,4 @@ class File(BaseModel):
|
|||
case FileTransferMethod.TOOL_FILE:
|
||||
if not self.related_id:
|
||||
raise ValueError("Missing file related_id")
|
||||
|
||||
# Validate the extra config.
|
||||
if not self._extra_config:
|
||||
return self
|
||||
|
||||
if self._extra_config.allowed_file_types:
|
||||
if self.type not in self._extra_config.allowed_file_types and self.type != FileType.CUSTOM:
|
||||
raise ValueError(f"Invalid file type: {self.type}")
|
||||
|
||||
if self._extra_config.allowed_extensions and self.extension not in self._extra_config.allowed_extensions:
|
||||
raise ValueError(f"Invalid file extension: {self.extension}")
|
||||
|
||||
if (
|
||||
self._extra_config.allowed_upload_methods
|
||||
and self.transfer_method not in self._extra_config.allowed_upload_methods
|
||||
):
|
||||
raise ValueError(f"Invalid transfer method: {self.transfer_method}")
|
||||
|
||||
match self.type:
|
||||
case FileType.IMAGE:
|
||||
# NOTE: This part of validation is deprecated, but still used in app features "Image Upload".
|
||||
if not self._extra_config.image_config:
|
||||
return self
|
||||
# TODO: skip check if transfer_methods is empty, because many test cases are not setting this field
|
||||
if (
|
||||
self._extra_config.image_config.transfer_methods
|
||||
and self.transfer_method not in self._extra_config.image_config.transfer_methods
|
||||
):
|
||||
raise ValueError(f"Invalid transfer method: {self.transfer_method}")
|
||||
|
||||
return self
|
||||
|
|
|
|||
|
|
@ -0,0 +1,3 @@
|
|||
from .code_executor import CodeExecutor, CodeLanguage
|
||||
|
||||
__all__ = ["CodeExecutor", "CodeLanguage"]
|
||||
|
|
@ -1,7 +1,8 @@
|
|||
import logging
|
||||
from collections.abc import Mapping
|
||||
from enum import Enum
|
||||
from threading import Lock
|
||||
from typing import Optional
|
||||
from typing import Any, Optional
|
||||
|
||||
from httpx import Timeout, post
|
||||
from pydantic import BaseModel
|
||||
|
|
@ -117,7 +118,7 @@ class CodeExecutor:
|
|||
return response.data.stdout or ""
|
||||
|
||||
@classmethod
|
||||
def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: dict) -> dict:
|
||||
def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: Mapping[str, Any]) -> dict:
|
||||
"""
|
||||
Execute code
|
||||
:param language: code language
|
||||
|
|
|
|||
|
|
@ -2,6 +2,8 @@ import json
|
|||
import re
|
||||
from abc import ABC, abstractmethod
|
||||
from base64 import b64encode
|
||||
from collections.abc import Mapping
|
||||
from typing import Any
|
||||
|
||||
|
||||
class TemplateTransformer(ABC):
|
||||
|
|
@ -10,7 +12,7 @@ class TemplateTransformer(ABC):
|
|||
_result_tag: str = "<<RESULT>>"
|
||||
|
||||
@classmethod
|
||||
def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
|
||||
def transform_caller(cls, code: str, inputs: Mapping[str, Any]) -> tuple[str, str]:
|
||||
"""
|
||||
Transform code to python runner
|
||||
:param code: code
|
||||
|
|
@ -48,13 +50,13 @@ class TemplateTransformer(ABC):
|
|||
pass
|
||||
|
||||
@classmethod
|
||||
def serialize_inputs(cls, inputs: dict) -> str:
|
||||
def serialize_inputs(cls, inputs: Mapping[str, Any]) -> str:
|
||||
inputs_json_str = json.dumps(inputs, ensure_ascii=False).encode()
|
||||
input_base64_encoded = b64encode(inputs_json_str).decode("utf-8")
|
||||
return input_base64_encoded
|
||||
|
||||
@classmethod
|
||||
def assemble_runner_script(cls, code: str, inputs: dict) -> str:
|
||||
def assemble_runner_script(cls, code: str, inputs: Mapping[str, Any]) -> str:
|
||||
# assemble runner script
|
||||
script = cls.get_runner_script()
|
||||
script = script.replace(cls._code_placeholder, code)
|
||||
|
|
|
|||
|
|
@ -81,15 +81,18 @@ class TokenBufferMemory:
|
|||
db.session.query(WorkflowRun).filter(WorkflowRun.id == message.workflow_run_id).first()
|
||||
)
|
||||
|
||||
if workflow_run:
|
||||
if workflow_run and workflow_run.workflow:
|
||||
file_extra_config = FileUploadConfigManager.convert(
|
||||
workflow_run.workflow.features_dict, is_vision=False
|
||||
)
|
||||
|
||||
detail = ImagePromptMessageContent.DETAIL.LOW
|
||||
if file_extra_config and app_record:
|
||||
file_objs = file_factory.build_from_message_files(
|
||||
message_files=files, tenant_id=app_record.tenant_id, config=file_extra_config
|
||||
)
|
||||
if file_extra_config.image_config and file_extra_config.image_config.detail:
|
||||
detail = file_extra_config.image_config.detail
|
||||
else:
|
||||
file_objs = []
|
||||
|
||||
|
|
@ -98,12 +101,16 @@ class TokenBufferMemory:
|
|||
else:
|
||||
prompt_message_contents: list[PromptMessageContent] = []
|
||||
prompt_message_contents.append(TextPromptMessageContent(data=message.query))
|
||||
for file_obj in file_objs:
|
||||
if file_obj.type in {FileType.IMAGE, FileType.AUDIO}:
|
||||
prompt_message = file_manager.to_prompt_message_content(file_obj)
|
||||
for file in file_objs:
|
||||
if file.type in {FileType.IMAGE, FileType.AUDIO}:
|
||||
prompt_message = file_manager.to_prompt_message_content(
|
||||
file,
|
||||
image_detail_config=detail,
|
||||
)
|
||||
prompt_message_contents.append(prompt_message)
|
||||
|
||||
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
|
||||
|
||||
else:
|
||||
prompt_messages.append(UserPromptMessage(content=message.query))
|
||||
|
||||
|
|
|
|||
|
|
@ -113,7 +113,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
|
|||
try:
|
||||
client = AzureOpenAI(**self._to_credential_kwargs(credentials))
|
||||
|
||||
if model.startswith("o1"):
|
||||
if "o1" in model:
|
||||
client.chat.completions.create(
|
||||
messages=[{"role": "user", "content": "ping"}],
|
||||
model=model,
|
||||
|
|
@ -311,7 +311,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
|
|||
prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
|
||||
|
||||
block_as_stream = False
|
||||
if model.startswith("o1"):
|
||||
if "o1" in model:
|
||||
if stream:
|
||||
block_as_stream = True
|
||||
stream = False
|
||||
|
|
@ -404,7 +404,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
|
|||
]
|
||||
)
|
||||
|
||||
if model.startswith("o1"):
|
||||
if "o1" in model:
|
||||
system_message_count = len([m for m in prompt_messages if isinstance(m, SystemPromptMessage)])
|
||||
if system_message_count > 0:
|
||||
new_prompt_messages = []
|
||||
|
|
@ -653,7 +653,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
|
|||
tokens_per_message = 4
|
||||
# if there's a name, the role is omitted
|
||||
tokens_per_name = -1
|
||||
elif model.startswith("gpt-35-turbo") or model.startswith("gpt-4") or model.startswith("o1"):
|
||||
elif model.startswith("gpt-35-turbo") or model.startswith("gpt-4") or "o1" in model:
|
||||
tokens_per_message = 3
|
||||
tokens_per_name = 1
|
||||
else:
|
||||
|
|
|
|||
|
|
@ -16,9 +16,9 @@ parameter_rules:
|
|||
use_template: max_tokens
|
||||
required: true
|
||||
type: int
|
||||
default: 4096
|
||||
default: 8192
|
||||
min: 1
|
||||
max: 4096
|
||||
max: 8192
|
||||
help:
|
||||
zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
|
||||
en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
|
||||
|
|
|
|||
|
|
@ -0,0 +1,95 @@
|
|||
model: Qwen2.5-72B-Instruct
|
||||
label:
|
||||
zh_Hans: Qwen2.5-72B-Instruct
|
||||
en_US: Qwen2.5-72B-Instruct
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
- tool-call
|
||||
- stream-tool-call
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
label:
|
||||
en_US: "Max Tokens"
|
||||
zh_Hans: "最大Token数"
|
||||
type: int
|
||||
default: 512
|
||||
min: 1
|
||||
required: true
|
||||
help:
|
||||
en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
|
||||
zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
|
||||
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
label:
|
||||
en_US: "Temperature"
|
||||
zh_Hans: "采样温度"
|
||||
type: float
|
||||
default: 0.7
|
||||
min: 0.0
|
||||
max: 1.0
|
||||
precision: 1
|
||||
required: true
|
||||
help:
|
||||
en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
|
||||
zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
|
||||
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
label:
|
||||
en_US: "Top P"
|
||||
zh_Hans: "Top P"
|
||||
type: float
|
||||
default: 0.7
|
||||
min: 0.0
|
||||
max: 1.0
|
||||
precision: 1
|
||||
required: true
|
||||
help:
|
||||
en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
|
||||
zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
|
||||
|
||||
- name: top_k
|
||||
use_template: top_k
|
||||
label:
|
||||
en_US: "Top K"
|
||||
zh_Hans: "Top K"
|
||||
type: int
|
||||
default: 50
|
||||
min: 0
|
||||
max: 100
|
||||
required: true
|
||||
help:
|
||||
en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
|
||||
zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
|
||||
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
label:
|
||||
en_US: "Frequency Penalty"
|
||||
zh_Hans: "频率惩罚"
|
||||
type: float
|
||||
default: 0
|
||||
min: -1.0
|
||||
max: 1.0
|
||||
precision: 1
|
||||
required: false
|
||||
help:
|
||||
en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
|
||||
zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
|
||||
|
||||
- name: user
|
||||
use_template: text
|
||||
label:
|
||||
en_US: "User"
|
||||
zh_Hans: "用户"
|
||||
type: string
|
||||
required: false
|
||||
help:
|
||||
en_US: "Used to track and differentiate conversation requests from different users."
|
||||
zh_Hans: "用于追踪和区分不同用户的对话请求。"
|
||||
|
|
@ -1,3 +1,4 @@
|
|||
- Qwen2.5-72B-Instruct
|
||||
- Qwen2-7B-Instruct
|
||||
- Qwen2-72B-Instruct
|
||||
- Yi-1.5-34B-Chat
|
||||
|
|
|
|||
|
|
@ -6,6 +6,7 @@ from core.model_runtime.entities.message_entities import (
|
|||
PromptMessage,
|
||||
PromptMessageTool,
|
||||
)
|
||||
from core.model_runtime.entities.model_entities import ModelFeature
|
||||
from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
|
||||
|
||||
|
||||
|
|
@ -28,14 +29,13 @@ class GiteeAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
|
|||
user: Optional[str] = None,
|
||||
) -> Union[LLMResult, Generator]:
|
||||
self._add_custom_parameters(credentials, model, model_parameters)
|
||||
return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
|
||||
return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
|
||||
|
||||
def validate_credentials(self, model: str, credentials: dict) -> None:
|
||||
self._add_custom_parameters(credentials, model, None)
|
||||
super().validate_credentials(model, credentials)
|
||||
|
||||
@staticmethod
|
||||
def _add_custom_parameters(credentials: dict, model: str, model_parameters: dict) -> None:
|
||||
def _add_custom_parameters(self, credentials: dict, model: str, model_parameters: dict) -> None:
|
||||
if model is None:
|
||||
model = "bge-large-zh-v1.5"
|
||||
|
||||
|
|
@ -45,3 +45,7 @@ class GiteeAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
|
|||
credentials["mode"] = LLMMode.COMPLETION.value
|
||||
else:
|
||||
credentials["mode"] = LLMMode.CHAT.value
|
||||
|
||||
schema = self.get_model_schema(model, credentials)
|
||||
if ModelFeature.TOOL_CALL in schema.features or ModelFeature.MULTI_TOOL_CALL in schema.features:
|
||||
credentials["function_calling_type"] = "tool_call"
|
||||
|
|
|
|||
|
|
@ -55,6 +55,7 @@ class JinaRerankModel(RerankModel):
|
|||
base_url + "/rerank",
|
||||
json={"model": model, "query": query, "documents": docs, "top_n": top_n},
|
||||
headers={"Authorization": f"Bearer {credentials.get('api_key')}"},
|
||||
timeout=20,
|
||||
)
|
||||
response.raise_for_status()
|
||||
results = response.json()
|
||||
|
|
|
|||
|
|
@ -0,0 +1,46 @@
|
|||
model: abab7-chat-preview
|
||||
label:
|
||||
en_US: Abab7-chat-preview
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
- tool-call
|
||||
- stream-tool-call
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 245760
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
min: 0.01
|
||||
max: 1
|
||||
default: 0.1
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
min: 0.01
|
||||
max: 1
|
||||
default: 0.95
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
required: true
|
||||
default: 2048
|
||||
min: 1
|
||||
max: 245760
|
||||
- name: mask_sensitive_info
|
||||
type: boolean
|
||||
default: true
|
||||
label:
|
||||
zh_Hans: 隐私保护
|
||||
en_US: Moderate
|
||||
help:
|
||||
zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
|
||||
en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
|
||||
- name: presence_penalty
|
||||
use_template: presence_penalty
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
pricing:
|
||||
input: '0.1'
|
||||
output: '0.1'
|
||||
unit: '0.001'
|
||||
currency: RMB
|
||||
|
|
@ -34,6 +34,7 @@ from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage
|
|||
|
||||
class MinimaxLargeLanguageModel(LargeLanguageModel):
|
||||
model_apis = {
|
||||
"abab7-chat-preview": MinimaxChatCompletionPro,
|
||||
"abab6.5s-chat": MinimaxChatCompletionPro,
|
||||
"abab6.5-chat": MinimaxChatCompletionPro,
|
||||
"abab6-chat": MinimaxChatCompletionPro,
|
||||
|
|
|
|||
|
|
@ -617,6 +617,10 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
|
|||
# o1 compatibility
|
||||
block_as_stream = False
|
||||
if model.startswith("o1"):
|
||||
if "max_tokens" in model_parameters:
|
||||
model_parameters["max_completion_tokens"] = model_parameters["max_tokens"]
|
||||
del model_parameters["max_tokens"]
|
||||
|
||||
if stream:
|
||||
block_as_stream = True
|
||||
stream = False
|
||||
|
|
|
|||
|
|
@ -0,0 +1,84 @@
|
|||
model: OpenGVLab/InternVL2-26B
|
||||
label:
|
||||
en_US: OpenGVLab/InternVL2-26B
|
||||
model_type: llm
|
||||
features:
|
||||
- vision
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
type: float
|
||||
default: 0.3
|
||||
min: 0.0
|
||||
max: 2.0
|
||||
help:
|
||||
zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
|
||||
en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 2000
|
||||
min: 1
|
||||
max: 2000
|
||||
help:
|
||||
zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
|
||||
en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
type: float
|
||||
default: 0.8
|
||||
min: 0.1
|
||||
max: 0.9
|
||||
help:
|
||||
zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
|
||||
en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
|
||||
- name: top_k
|
||||
type: int
|
||||
min: 0
|
||||
max: 99
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
help:
|
||||
zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
|
||||
en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
|
||||
- name: seed
|
||||
required: false
|
||||
type: int
|
||||
default: 1234
|
||||
label:
|
||||
zh_Hans: 随机种子
|
||||
en_US: Random seed
|
||||
help:
|
||||
zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
|
||||
en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
|
||||
- name: repetition_penalty
|
||||
required: false
|
||||
type: float
|
||||
default: 1.1
|
||||
label:
|
||||
zh_Hans: 重复惩罚
|
||||
en_US: Repetition penalty
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '21'
|
||||
output: '21'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
|
|
@ -0,0 +1,84 @@
|
|||
model: Pro/OpenGVLab/InternVL2-8B
|
||||
label:
|
||||
en_US: Pro/OpenGVLab/InternVL2-8B
|
||||
model_type: llm
|
||||
features:
|
||||
- vision
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
type: float
|
||||
default: 0.3
|
||||
min: 0.0
|
||||
max: 2.0
|
||||
help:
|
||||
zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
|
||||
en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 2000
|
||||
min: 1
|
||||
max: 2000
|
||||
help:
|
||||
zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
|
||||
en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
type: float
|
||||
default: 0.8
|
||||
min: 0.1
|
||||
max: 0.9
|
||||
help:
|
||||
zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
|
||||
en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
|
||||
- name: top_k
|
||||
type: int
|
||||
min: 0
|
||||
max: 99
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
help:
|
||||
zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
|
||||
en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
|
||||
- name: seed
|
||||
required: false
|
||||
type: int
|
||||
default: 1234
|
||||
label:
|
||||
zh_Hans: 随机种子
|
||||
en_US: Random seed
|
||||
help:
|
||||
zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
|
||||
en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
|
||||
- name: repetition_penalty
|
||||
required: false
|
||||
type: float
|
||||
default: 1.1
|
||||
label:
|
||||
zh_Hans: 重复惩罚
|
||||
en_US: Repetition penalty
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '21'
|
||||
output: '21'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
|
|
@ -1,16 +1,18 @@
|
|||
- Tencent/Hunyuan-A52B-Instruct
|
||||
- Qwen/Qwen2.5-72B-Instruct
|
||||
- Qwen/Qwen2.5-32B-Instruct
|
||||
- Qwen/Qwen2.5-14B-Instruct
|
||||
- Qwen/Qwen2.5-7B-Instruct
|
||||
- Qwen/Qwen2.5-Coder-32B-Instruct
|
||||
- Qwen/Qwen2.5-Coder-7B-Instruct
|
||||
- Qwen/Qwen2.5-Math-72B-Instruct
|
||||
- Qwen/Qwen2-72B-Instruct
|
||||
- Qwen/Qwen2-57B-A14B-Instruct
|
||||
- Qwen/Qwen2-7B-Instruct
|
||||
- Qwen/Qwen2-VL-72B-Instruct
|
||||
- Qwen/Qwen2-1.5B-Instruct
|
||||
- Pro/Qwen/Qwen2-VL-7B-Instruct
|
||||
- OpenGVLab/InternVL2-Llama3-76B
|
||||
- OpenGVLab/InternVL2-26B
|
||||
- Pro/OpenGVLab/InternVL2-8B
|
||||
- deepseek-ai/DeepSeek-V2.5
|
||||
- deepseek-ai/DeepSeek-V2-Chat
|
||||
- deepseek-ai/DeepSeek-Coder-V2-Instruct
|
||||
- THUDM/glm-4-9b-chat
|
||||
- 01-ai/Yi-1.5-34B-Chat-16K
|
||||
- 01-ai/Yi-1.5-9B-Chat-16K
|
||||
|
|
@ -20,9 +22,6 @@
|
|||
- meta-llama/Meta-Llama-3.1-405B-Instruct
|
||||
- meta-llama/Meta-Llama-3.1-70B-Instruct
|
||||
- meta-llama/Meta-Llama-3.1-8B-Instruct
|
||||
- meta-llama/Meta-Llama-3-70B-Instruct
|
||||
- meta-llama/Meta-Llama-3-8B-Instruct
|
||||
- google/gemma-2-27b-it
|
||||
- google/gemma-2-9b-it
|
||||
- mistralai/Mistral-7B-Instruct-v0.2
|
||||
- mistralai/Mixtral-8x7B-Instruct-v0.1
|
||||
- deepseek-ai/DeepSeek-V2-Chat
|
||||
|
|
|
|||
|
|
@ -37,3 +37,4 @@ pricing:
|
|||
output: '1.33'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -37,3 +37,4 @@ pricing:
|
|||
output: '1.33'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -4,6 +4,8 @@ label:
|
|||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
- tool-call
|
||||
- stream-tool-call
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
|
|
@ -32,6 +34,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '1.33'
|
||||
output: '1.33'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '1.26'
|
||||
output: '1.26'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '0'
|
||||
output: '0'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '0'
|
||||
output: '0'
|
||||
|
|
|
|||
|
|
@ -0,0 +1,84 @@
|
|||
model: Tencent/Hunyuan-A52B-Instruct
|
||||
label:
|
||||
en_US: Tencent/Hunyuan-A52B-Instruct
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
type: float
|
||||
default: 0.3
|
||||
min: 0.0
|
||||
max: 2.0
|
||||
help:
|
||||
zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
|
||||
en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 2000
|
||||
min: 1
|
||||
max: 2000
|
||||
help:
|
||||
zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
|
||||
en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
type: float
|
||||
default: 0.8
|
||||
min: 0.1
|
||||
max: 0.9
|
||||
help:
|
||||
zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
|
||||
en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
|
||||
- name: top_k
|
||||
type: int
|
||||
min: 0
|
||||
max: 99
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
help:
|
||||
zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
|
||||
en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
|
||||
- name: seed
|
||||
required: false
|
||||
type: int
|
||||
default: 1234
|
||||
label:
|
||||
zh_Hans: 随机种子
|
||||
en_US: Random seed
|
||||
help:
|
||||
zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
|
||||
en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
|
||||
- name: repetition_penalty
|
||||
required: false
|
||||
type: float
|
||||
default: 1.1
|
||||
label:
|
||||
zh_Hans: 重复惩罚
|
||||
en_US: Repetition penalty
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '21'
|
||||
output: '21'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '1'
|
||||
output: '1'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '0'
|
||||
output: '0'
|
||||
|
|
|
|||
|
|
@ -0,0 +1,84 @@
|
|||
model: OpenGVLab/InternVL2-Llama3-76B
|
||||
label:
|
||||
en_US: OpenGVLab/InternVL2-Llama3-76B
|
||||
model_type: llm
|
||||
features:
|
||||
- vision
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 8192
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
type: float
|
||||
default: 0.3
|
||||
min: 0.0
|
||||
max: 2.0
|
||||
help:
|
||||
zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
|
||||
en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 2000
|
||||
min: 1
|
||||
max: 2000
|
||||
help:
|
||||
zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
|
||||
en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
type: float
|
||||
default: 0.8
|
||||
min: 0.1
|
||||
max: 0.9
|
||||
help:
|
||||
zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
|
||||
en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
|
||||
- name: top_k
|
||||
type: int
|
||||
min: 0
|
||||
max: 99
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
help:
|
||||
zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
|
||||
en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
|
||||
- name: seed
|
||||
required: false
|
||||
type: int
|
||||
default: 1234
|
||||
label:
|
||||
zh_Hans: 随机种子
|
||||
en_US: Random seed
|
||||
help:
|
||||
zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
|
||||
en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
|
||||
- name: repetition_penalty
|
||||
required: false
|
||||
type: float
|
||||
default: 1.1
|
||||
label:
|
||||
zh_Hans: 重复惩罚
|
||||
en_US: Repetition penalty
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '21'
|
||||
output: '21'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
|
|
@ -29,6 +29,9 @@ class SiliconflowLargeLanguageModel(OAIAPICompatLargeLanguageModel):
|
|||
user: Optional[str] = None,
|
||||
) -> Union[LLMResult, Generator]:
|
||||
self._add_custom_parameters(credentials)
|
||||
# {"response_format": "json_object"} need convert to {"response_format": {"type": "json_object"}}
|
||||
if "response_format" in model_parameters:
|
||||
model_parameters["response_format"] = {"type": model_parameters.get("response_format")}
|
||||
return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
|
||||
|
||||
def validate_credentials(self, model: str, credentials: dict) -> None:
|
||||
|
|
|
|||
|
|
@ -37,3 +37,4 @@ pricing:
|
|||
output: '4.13'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -37,3 +37,4 @@ pricing:
|
|||
output: '0'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '21'
|
||||
output: '21'
|
||||
|
|
|
|||
|
|
@ -6,7 +6,7 @@ features:
|
|||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
context_size: 8192
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '4.13'
|
||||
output: '4.13'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '0'
|
||||
output: '0'
|
||||
|
|
|
|||
|
|
@ -37,3 +37,4 @@ pricing:
|
|||
output: '1.26'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -37,3 +37,4 @@ pricing:
|
|||
output: '4.13'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -37,3 +37,4 @@ pricing:
|
|||
output: '0'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -0,0 +1,84 @@
|
|||
model: Qwen/Qwen2-VL-72B-Instruct
|
||||
label:
|
||||
en_US: Qwen/Qwen2-VL-72B-Instruct
|
||||
model_type: llm
|
||||
features:
|
||||
- vision
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
type: float
|
||||
default: 0.3
|
||||
min: 0.0
|
||||
max: 2.0
|
||||
help:
|
||||
zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
|
||||
en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 2000
|
||||
min: 1
|
||||
max: 2000
|
||||
help:
|
||||
zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
|
||||
en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
type: float
|
||||
default: 0.8
|
||||
min: 0.1
|
||||
max: 0.9
|
||||
help:
|
||||
zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
|
||||
en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
|
||||
- name: top_k
|
||||
type: int
|
||||
min: 0
|
||||
max: 99
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
help:
|
||||
zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
|
||||
en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
|
||||
- name: seed
|
||||
required: false
|
||||
type: int
|
||||
default: 1234
|
||||
label:
|
||||
zh_Hans: 随机种子
|
||||
en_US: Random seed
|
||||
help:
|
||||
zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
|
||||
en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
|
||||
- name: repetition_penalty
|
||||
required: false
|
||||
type: float
|
||||
default: 1.1
|
||||
label:
|
||||
zh_Hans: 重复惩罚
|
||||
en_US: Repetition penalty
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '21'
|
||||
output: '21'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
|
|
@ -0,0 +1,84 @@
|
|||
model: Pro/Qwen/Qwen2-VL-7B-Instruct
|
||||
label:
|
||||
en_US: Pro/Qwen/Qwen2-VL-7B-Instruct
|
||||
model_type: llm
|
||||
features:
|
||||
- vision
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
type: float
|
||||
default: 0.3
|
||||
min: 0.0
|
||||
max: 2.0
|
||||
help:
|
||||
zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
|
||||
en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 2000
|
||||
min: 1
|
||||
max: 2000
|
||||
help:
|
||||
zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
|
||||
en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
type: float
|
||||
default: 0.8
|
||||
min: 0.1
|
||||
max: 0.9
|
||||
help:
|
||||
zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
|
||||
en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
|
||||
- name: top_k
|
||||
type: int
|
||||
min: 0
|
||||
max: 99
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
help:
|
||||
zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
|
||||
en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
|
||||
- name: seed
|
||||
required: false
|
||||
type: int
|
||||
default: 1234
|
||||
label:
|
||||
zh_Hans: 随机种子
|
||||
en_US: Random seed
|
||||
help:
|
||||
zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
|
||||
en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
|
||||
- name: repetition_penalty
|
||||
required: false
|
||||
type: float
|
||||
default: 1.1
|
||||
label:
|
||||
zh_Hans: 重复惩罚
|
||||
en_US: Repetition penalty
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '21'
|
||||
output: '21'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '0.7'
|
||||
output: '0.7'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '1.26'
|
||||
output: '1.26'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '4.13'
|
||||
output: '4.13'
|
||||
|
|
|
|||
|
|
@ -32,6 +32,18 @@ parameter_rules:
|
|||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '0'
|
||||
output: '0'
|
||||
|
|
|
|||
|
|
@ -0,0 +1,84 @@
|
|||
model: Qwen/Qwen2.5-Coder-32B-Instruct
|
||||
label:
|
||||
en_US: Qwen/Qwen2.5-Coder-32B-Instruct
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32768
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
type: float
|
||||
default: 0.3
|
||||
min: 0.0
|
||||
max: 2.0
|
||||
help:
|
||||
zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
|
||||
en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 8192
|
||||
min: 1
|
||||
max: 8192
|
||||
help:
|
||||
zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
|
||||
en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
type: float
|
||||
default: 0.8
|
||||
min: 0.1
|
||||
max: 0.9
|
||||
help:
|
||||
zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
|
||||
en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
|
||||
- name: top_k
|
||||
type: int
|
||||
min: 0
|
||||
max: 99
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
help:
|
||||
zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
|
||||
en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
|
||||
- name: seed
|
||||
required: false
|
||||
type: int
|
||||
default: 1234
|
||||
label:
|
||||
zh_Hans: 随机种子
|
||||
en_US: Random seed
|
||||
help:
|
||||
zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
|
||||
en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
|
||||
- name: repetition_penalty
|
||||
required: false
|
||||
type: float
|
||||
default: 1.1
|
||||
label:
|
||||
zh_Hans: 重复惩罚
|
||||
en_US: Repetition penalty
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '1.26'
|
||||
output: '1.26'
|
||||
unit: '0.000001'
|
||||
currency: RMB
|
||||
|
|
@ -66,7 +66,17 @@ parameter_rules:
|
|||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '0'
|
||||
output: '0'
|
||||
|
|
|
|||
|
|
@ -66,7 +66,17 @@ parameter_rules:
|
|||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: '4.13'
|
||||
output: '4.13'
|
||||
|
|
|
|||
|
|
@ -0,0 +1,5 @@
|
|||
model: FunAudioLLM/SenseVoiceSmall
|
||||
model_type: speech2text
|
||||
model_properties:
|
||||
file_upload_limit: 1
|
||||
supported_file_extensions: mp3,wav
|
||||
|
|
@ -3,3 +3,4 @@ model_type: speech2text
|
|||
model_properties:
|
||||
file_upload_limit: 1
|
||||
supported_file_extensions: mp3,wav
|
||||
deprecated: true
|
||||
|
|
|
|||
|
|
@ -13,9 +13,9 @@ parameter_rules:
|
|||
use_template: max_tokens
|
||||
required: true
|
||||
type: int
|
||||
default: 4096
|
||||
default: 8192
|
||||
min: 1
|
||||
max: 4096
|
||||
max: 8192
|
||||
help:
|
||||
zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
|
||||
en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
provider: vessl_ai
|
||||
label:
|
||||
en_US: vessl_ai
|
||||
en_US: VESSL AI
|
||||
icon_small:
|
||||
en_US: icon_s_en.svg
|
||||
icon_large:
|
||||
|
|
@ -20,28 +20,28 @@ model_credential_schema:
|
|||
label:
|
||||
en_US: Model Name
|
||||
placeholder:
|
||||
en_US: Enter your model name
|
||||
en_US: Enter model name
|
||||
credential_form_schemas:
|
||||
- variable: endpoint_url
|
||||
label:
|
||||
en_US: endpoint url
|
||||
en_US: Endpoint Url
|
||||
type: text-input
|
||||
required: true
|
||||
placeholder:
|
||||
en_US: Enter the url of your endpoint url
|
||||
en_US: Enter VESSL AI service endpoint url
|
||||
- variable: api_key
|
||||
required: true
|
||||
label:
|
||||
en_US: API Key
|
||||
type: secret-input
|
||||
placeholder:
|
||||
en_US: Enter your VESSL AI secret key
|
||||
en_US: Enter VESSL AI secret key
|
||||
- variable: mode
|
||||
show_on:
|
||||
- variable: __model_type
|
||||
value: llm
|
||||
label:
|
||||
en_US: Completion mode
|
||||
en_US: Completion Mode
|
||||
type: select
|
||||
required: false
|
||||
default: chat
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
import json
|
||||
import random
|
||||
from collections import UserDict
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
|
|
@ -10,9 +11,9 @@ class ChatRole:
|
|||
FUNCTION = "function"
|
||||
|
||||
|
||||
class _Dict(dict):
|
||||
__setattr__ = dict.__setitem__
|
||||
__getattr__ = dict.__getitem__
|
||||
class _Dict(UserDict):
|
||||
__setattr__ = UserDict.__setitem__
|
||||
__getattr__ = UserDict.__getitem__
|
||||
|
||||
def __missing__(self, key):
|
||||
return None
|
||||
|
|
|
|||
|
|
@ -54,3 +54,7 @@ class LangSmithConfig(BaseTracingConfig):
|
|||
raise ValueError("endpoint must start with https://")
|
||||
|
||||
return v
|
||||
|
||||
|
||||
OPS_FILE_PATH = "ops_trace/"
|
||||
OPS_TRACE_FAILED_KEY = "FAILED_OPS_TRACE"
|
||||
|
|
|
|||
|
|
@ -23,6 +23,11 @@ class BaseTraceInfo(BaseModel):
|
|||
return v
|
||||
return ""
|
||||
|
||||
class Config:
|
||||
json_encoders = {
|
||||
datetime: lambda v: v.isoformat(),
|
||||
}
|
||||
|
||||
|
||||
class WorkflowTraceInfo(BaseTraceInfo):
|
||||
workflow_data: Any
|
||||
|
|
@ -100,6 +105,12 @@ class GenerateNameTraceInfo(BaseTraceInfo):
|
|||
tenant_id: str
|
||||
|
||||
|
||||
class TaskData(BaseModel):
|
||||
app_id: str
|
||||
trace_info_type: str
|
||||
trace_info: Any
|
||||
|
||||
|
||||
trace_info_info_map = {
|
||||
"WorkflowTraceInfo": WorkflowTraceInfo,
|
||||
"MessageTraceInfo": MessageTraceInfo,
|
||||
|
|
|
|||
|
|
@ -6,12 +6,13 @@ import threading
|
|||
import time
|
||||
from datetime import timedelta
|
||||
from typing import Any, Optional, Union
|
||||
from uuid import UUID
|
||||
from uuid import UUID, uuid4
|
||||
|
||||
from flask import current_app
|
||||
|
||||
from core.helper.encrypter import decrypt_token, encrypt_token, obfuscated_token
|
||||
from core.ops.entities.config_entity import (
|
||||
OPS_FILE_PATH,
|
||||
LangfuseConfig,
|
||||
LangSmithConfig,
|
||||
TracingProviderEnum,
|
||||
|
|
@ -22,6 +23,7 @@ from core.ops.entities.trace_entity import (
|
|||
MessageTraceInfo,
|
||||
ModerationTraceInfo,
|
||||
SuggestedQuestionTraceInfo,
|
||||
TaskData,
|
||||
ToolTraceInfo,
|
||||
TraceTaskName,
|
||||
WorkflowTraceInfo,
|
||||
|
|
@ -30,6 +32,7 @@ from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
|
|||
from core.ops.langsmith_trace.langsmith_trace import LangSmithDataTrace
|
||||
from core.ops.utils import get_message_data
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_storage import storage
|
||||
from models.model import App, AppModelConfig, Conversation, Message, MessageAgentThought, MessageFile, TraceAppConfig
|
||||
from models.workflow import WorkflowAppLog, WorkflowRun
|
||||
from tasks.ops_trace_task import process_trace_tasks
|
||||
|
|
@ -740,10 +743,17 @@ class TraceQueueManager:
|
|||
def send_to_celery(self, tasks: list[TraceTask]):
|
||||
with self.flask_app.app_context():
|
||||
for task in tasks:
|
||||
file_id = uuid4().hex
|
||||
trace_info = task.execute()
|
||||
task_data = {
|
||||
task_data = TaskData(
|
||||
app_id=task.app_id,
|
||||
trace_info_type=type(trace_info).__name__,
|
||||
trace_info=trace_info.model_dump() if trace_info else None,
|
||||
)
|
||||
file_path = f"{OPS_FILE_PATH}{task.app_id}/{file_id}.json"
|
||||
storage.save(file_path, task_data.model_dump_json().encode("utf-8"))
|
||||
file_info = {
|
||||
"file_id": file_id,
|
||||
"app_id": task.app_id,
|
||||
"trace_info_type": type(trace_info).__name__,
|
||||
"trace_info": trace_info.model_dump() if trace_info else {},
|
||||
}
|
||||
process_trace_tasks.delay(task_data)
|
||||
process_trace_tasks.delay(file_info)
|
||||
|
|
|
|||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user