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feat: add stepfun integrations #17514

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@bestony bestony commented Jan 14, 2025

Description

Add new LLM Vendor named "stepfun" for https://platform.stepfun.com/

New Package?

Did I fill in the tool.llamahub section in the pyproject.toml and provide a detailed README.md for my new integration or package?

  • Yes
  • No

Type of Change

Please delete options that are not relevant.

  • 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

How Has This Been Tested?

Your pull-request will likely not be merged unless it is covered by some form of impactful unit testing.

  • I added new unit tests to cover this change
  • I believe this change is already covered by existing unit tests

Suggested Checklist:

  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • I have added Google Colab support for the newly added notebooks.
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes
  • I ran make format; make lint to appease the lint gods

@dosubot dosubot bot added the size:L This PR changes 100-499 lines, ignoring generated files. label Jan 14, 2025
@bestony bestony changed the title WIP: feat: add stepfun integrations feat: add stepfun integrations Jan 15, 2025
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bestony commented Jan 15, 2025

@masci
can you help me review my PR? i need at least 1 approving review for run CI check.

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bestony commented Jan 15, 2025

localhost run result :
image

sample code

from llama_index.llms.stepfun import StepFun
from llama_index.core.llms import ChatMessage

llm = StepFun(
    api_key="",
    max_tokens=256,
    context_window=4096,
    model="step-1v-8k",
)

message = ChatMessage(role="user", content="Tell me a joke")
resp = llm.chat([message])
print(resp)

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Left a couple of comments. Can you also fix the linting problems? If you install our pre-commit hook that should be super easy pre-commit install

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bestony commented Jan 15, 2025

done with pre-commit @masci

@bestony bestony requested a review from masci January 15, 2025 11:16
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2 participants