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FEAT: Code completions #1476
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mikeshi80
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FEAT: Code completions #1476
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…e unit test cases.
…to code_completions merge with main
# Conflicts: # xinference/model/llm/__init__.py
Need to add repo_name support.
…e definition for codeqwen1.5 and make it supported by vllm engine.
# Conflicts: # xinference/model/llm/__init__.py # xinference/model/llm/pytorch/core.py # xinference/web/ui/src/scenes/running_models/index.js
There are conflicts to resolve. |
# Conflicts: # xinference/core/model.py # xinference/model/llm/__init__.py # xinference/web/ui/src/scenes/running_models/index.js
# Conflicts: # xinference/model/llm/__init__.py
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Added the support for code completions, support 3 kinds of completions:
I added two RESTful APIs:
/v1/code/prompt
v1/code/completions
Users can get the generated prompt by call 1st API.
Common Code Completion
POST the JSON object
Repository Level Code Completion
Users can provide files parameter , which is the mapping, key is file name or file path (it is defined in code prompt style), value is the file content.
Some model need the
repo_name
, that presents repository name.Note: if the model does not support repository level completion, it works like common code completion, "files" and "repo_name" will be ignored.
Infill Code Completion
Users can use infill mode by set mode to "infill", and provide suffix parameter.
Note: if the model does not support infill mode, you will get the exception.
If
/v1/code/prompt
API works well, it will return the response like below:When you get the generated prompt, you can pass it to
/v1/completions
to get the response.If you want to combine 2 requests into 1, you can just use the 2nd RESTful API
/v1/code/completions
, it just combined generating prompt and completions requests.