Add PR and issue templates from vLLM project

- Add PULL_REQUEST_TEMPLATE.md with vLLM-style PR template
- Add comprehensive issue templates:
  - Bug report template (400-bug-report.yml)
  - Feature request template (500-feature-request.yml)
  - New model support template (600-new-model.yml)
  - Documentation template (100-documentation.yml)
  - Installation template (200-installation.yml)
  - Performance discussion template (700-performance-discussion.yml)
  - Issue template configuration (config.yml)
- Templates adapted for vLLM-omni with multimodal context
- Force added YAML files to override .gitignore exclusion
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hsliu committed 2025-10-18 07:58:32 +08:00
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name: 📚 Documentation
description: Report an issue related to documentation
title: "[Doc]: "
labels: ["documentation"]
body:
- type: textarea
attributes:
label: 📚 The doc issue
description: >
A clear and concise description of what content in the documentation is an issue.
validations:
required: true
- type: textarea
attributes:
label: Suggest a potential alternative/fix
description: >
Tell us how we could improve the documentation in this regard.
- type: markdown
attributes:
value: >
Thanks for contributing 🎉!
- type: checkboxes
id: askllm
attributes:
label: Before submitting a new issue...
options:
- label: Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the [documentation page](https://vllm-omni.readthedocs.io), which can answer lots of frequently asked questions.
required: true
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name: 🛠️ Installation
description: Report an issue here when you hit errors during installation.
title: "[Installation]: "
labels: ["installation"]
body:
- type: markdown
attributes:
value: >
#### Before submitting an issue, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/hsliuustc0106/vllm-omni/issues?q=is%3Aissue+sort%3Acreated-desc+).
- type: textarea
attributes:
label: Your current environment
description: |
Please run the following and paste the output below.
```sh
wget https://raw.githubusercontent.com/hsliuustc0106/vllm-omni/main/vllm_omni/collect_env.py
# For security purposes, please feel free to check the contents of collect_env.py before running it.
python collect_env.py
```
It is suggested to download and execute the latest script, as vllm-omni might frequently update the diagnosis information needed for accurately and quickly responding to issues.
value: |
```text
The output of `python collect_env.py`
```
validations:
required: true
- type: textarea
attributes:
label: How you are installing vllm-omni
description: |
Paste the full command you are trying to execute.
value: |
```sh
pip install -vvv vllm-omni
```
- type: markdown
attributes:
value: >
Thanks for contributing 🎉!
- type: checkboxes
id: askllm
attributes:
label: Before submitting a new issue...
options:
- label: Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the [documentation page](https://vllm-omni.readthedocs.io), which can answer lots of frequently asked questions.
required: true
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name: 🐛 Bug report
description: Raise an issue here if you find a bug.
title: "[Bug]: "
labels: ["bug"]
body:
- type: markdown
attributes:
value: >
#### Before submitting an issue, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/hsliuustc0106/vllm-omni/issues?q=is%3Aissue+sort%3Acreated-desc+).
- type: markdown
attributes:
value: |
⚠️ **SECURITY WARNING:** Please review any text you paste to ensure it does not contain sensitive information such as:
- API tokens or keys (e.g., Hugging Face tokens, OpenAI API keys)
- Passwords or authentication credentials
- Private URLs or endpoints
- Personal or confidential data
Consider redacting or replacing sensitive values with placeholders like `<YOUR_TOKEN_HERE>` when sharing configuration or code examples.
- type: textarea
attributes:
label: Your current environment
description: |
Please run the following and paste the output below.
```sh
wget https://raw.githubusercontent.com/hsliuustc0106/vllm-omni/main/vllm_omni/collect_env.py
# For security purposes, please feel free to check the contents of collect_env.py before running it.
python collect_env.py
```
It is suggested to download and execute the latest script, as vllm-omni might frequently update the diagnosis information needed for accurately and quickly responding to issues.
value: |
<details>
<summary>The output of <code>python collect_env.py</code></summary>
```text
Your output of `python collect_env.py` here
```
</details>
validations:
required: true
- type: textarea
attributes:
label: 🐛 Describe the bug
description: |
Please provide a clear and concise description of what the bug is.
If relevant, add a minimal example so that we can reproduce the error by running the code. It is very important for the snippet to be as succinct (minimal) as possible, so please take time to trim down any irrelevant code to help us debug efficiently. We are going to copy-paste your code and we expect to get the same result as you did: avoid any external data, and include the relevant imports, etc. For example:
```python
from vllm_omni import OmniLLM, create_ar_stage_config, create_dit_stage_config
# Create stage configurations
ar_config = create_ar_stage_config(
stage_id=0,
model_path="Qwen/Qwen3-0.6B",
input_modalities=["text"],
output_modalities=["text"]
)
dit_config = create_dit_stage_config(
stage_id=1,
model_path="stabilityai/stable-diffusion-2-1",
input_modalities=["text"],
output_modalities=["image"]
)
# Initialize OmniLLM
omni = OmniLLM([ar_config, dit_config])
# Generate
outputs = omni.generate(prompt="A scenic watercolor painting of a lighthouse at sunset")
```
If the code is too long (hopefully, it isn't), feel free to put it in a public gist and link it in the issue: https://gist.github.com.
Please also paste or describe the results you observe instead of the expected results. If you observe an error, please paste the error message including the **full** traceback of the exception. It may be relevant to wrap error messages in ```` ```triple quotes blocks``` ````.
Please set the environment variable `export VLLM_OMNI_LOGGING_LEVEL=DEBUG` to turn on more logging to help debugging potential issues.
If you experienced crashes or hangs, it would be helpful to run vllm-omni with `export VLLM_OMNI_TRACE_FUNCTION=1` . All the function calls in vllm-omni will be recorded. Inspect these log files, and tell which function crashes or hangs.
placeholder: |
A clear and concise description of what the bug is.
```python
# Sample code to reproduce the problem
```
```
The error message you got, with the full traceback and the error logs with [dump_input.py:##] if present.
```
validations:
required: true
- type: markdown
attributes:
value: |
⚠️ Please separate bugs of `transformers` implementation or usage from bugs of `vllm-omni`. If you think anything is wrong with the model's output:
- Try the counterpart of `transformers` first. If the error appears, please go to [their issues](https://github.com/huggingface/transformers/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc).
- If the error only appears in vllm-omni, please provide the detailed script of how you run `transformers` and `vllm-omni`, also highlight the difference and what you expect.
Thanks for reporting 🙏!
- type: checkboxes
id: askllm
attributes:
label: Before submitting a new issue...
options:
- label: Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the [documentation page](https://vllm-omni.readthedocs.io), which can answer lots of frequently asked questions.
required: true
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name: 🚀 Feature request
description: Submit a proposal/request for a new vllm-omni feature
title: "[Feature]: "
labels: ["feature request"]
body:
- type: markdown
attributes:
value: >
#### Before submitting an issue, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/hsliuustc0106/vllm-omni/issues?q=is%3Aissue+sort%3Acreated-desc+).
- type: textarea
attributes:
label: 🚀 The feature, motivation and pitch
description: >
A clear and concise description of the feature proposal. Please outline the motivation for the proposal. Is your feature request related to a specific problem? e.g., *"I'm working on X and would like Y to be possible"*. If this is related to another GitHub issue, please link here too.
validations:
required: true
- type: textarea
attributes:
label: Alternatives
description: >
A description of any alternative solutions or features you've considered, if any.
- type: textarea
attributes:
label: Additional context
description: >
Add any other context or screenshots about the feature request.
- type: markdown
attributes:
value: >
Thanks for contributing 🎉!
- type: checkboxes
id: askllm
attributes:
label: Before submitting a new issue...
options:
- label: Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the [documentation page](https://vllm-omni.readthedocs.io), which can answer lots of frequently asked questions.
required: true
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name: 🤗 Support request for a new model
description: Submit a proposal/request for a new model support
title: "[New Model]: "
labels: ["new model"]
body:
- type: markdown
attributes:
value: >
#### Before submitting an issue, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/hsliuustc0106/vllm-omni/issues?q=is%3Aissue+sort%3Acreated-desc+).
#### We also highly recommend you read the contributing guidelines first to understand how to add a new model.
- type: textarea
attributes:
label: The model to consider.
description: >
A huggingface url, pointing to the model, e.g. https://huggingface.co/openai-community/gpt2 .
validations:
required: true
- type: textarea
attributes:
label: The closest model vllm-omni already supports.
description: >
Here is the list of models already supported by vllm-omni. Which model is the most similar to the model you want to add support for?
- type: textarea
attributes:
label: What's your difficulty of supporting the model you want?
description: >
For example, any new operators or new architecture? Is it a multimodal model? Does it require special preprocessing?
- type: textarea
attributes:
label: Use case and motivation
description: >
What is the primary use case for this model? Why is it important to support in vllm-omni?
- type: markdown
attributes:
value: >
Thanks for contributing 🎉!
- type: checkboxes
id: askllm
attributes:
label: Before submitting a new issue...
options:
- label: Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the [documentation page](https://vllm-omni.readthedocs.io), which can answer lots of frequently asked questions.
required: true
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name: ⚡ Discussion on the performance of vllm-omni
description: Submit a proposal/discussion about the performance of vllm-omni
title: "[Performance]: "
labels: ["performance"]
body:
- type: markdown
attributes:
value: >
#### Before submitting an issue, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/hsliuustc0106/vllm-omni/issues?q=is%3Aissue+sort%3Acreated-desc+).
- type: textarea
attributes:
label: Proposal to improve performance
description: >
How do you plan to improve vllm-omni's performance?
validations:
required: false
- type: textarea
attributes:
label: Report of performance regression
description: >
Please provide detailed description of performance comparison to confirm the regression. You may want to run the benchmark script at https://github.com/hsliuustc0106/vllm-omni/tree/main/tests/benchmarks .
validations:
required: false
- type: textarea
attributes:
label: Misc discussion on performance
description: >
Anything about the performance.
validations:
required: false
- type: textarea
attributes:
label: Your current environment (if you think it is necessary)
description: |
Please run the following and paste the output below.
```sh
wget https://raw.githubusercontent.com/hsliuustc0106/vllm-omni/main/vllm_omni/collect_env.py
# For security purposes, please feel free to check the contents of collect_env.py before running it.
python collect_env.py
```
It is suggested to download and execute the latest script, as vllm-omni might frequently update the diagnosis information needed for accurately and quickly responding to issues.
value: |
```text
The output of `python collect_env.py`
```
validations:
required: false
- type: markdown
attributes:
value: >
Thanks for contributing 🎉!
- type: checkboxes
id: askllm
attributes:
label: Before submitting a new issue...
options:
- label: Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the [documentation page](https://vllm-omni.readthedocs.io), which can answer lots of frequently asked questions.
required: true
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blank_issues_enabled: false
contact_links:
- name: Questions
url: https://github.com/hsliuustc0106/vllm-omni/discussions
about: Ask questions and discuss with other vLLM-omni community members
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<!-- markdownlint-disable -->
PLEASE FILL IN THE PR DESCRIPTION HERE ENSURING ALL CHECKLIST ITEMS (AT THE BOTTOM) HAVE BEEN CONSIDERED.
## Purpose
## Test Plan
## Test Result
---
<details>
<summary> Essential Elements of an Effective PR Description Checklist </summary>
- [ ] The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
- [ ] The test plan, such as providing test command.
- [ ] The test results, such as pasting the results comparison before and after, or e2e results
- [ ] (Optional) The necessary documentation update, such as updating `supported_models.md` and `examples` for a new model.
- [ ] (Optional) Release notes update. If your change is user facing, please update the release notes draft.
</details>
**BEFORE SUBMITTING, PLEASE READ <https://github.com/hsliuustc0106/vllm-omni/blob/main/CONTRIBUTING.md>** (anything written below this line will be removed by GitHub Actions)