Set temp value to 0 to reduce the randomness of the output for vllm output

[tarukumar]

Summary by CodeRabbit

• Refactor
  • Adjusted the temperature setting for AI requests to always use a value of 0, including for embeddings, ensuring consistent behavior across all supported endpoints.

[coderabbitai]

Walkthrough

The update modifies the _construct_request_data method in the OpenAI plugin utility to set the temperature parameter to 0 for all endpoint types, including chat completions, embeddings, and other prompts. For the embeddings endpoint, the temperature parameter is now explicitly included in the request data.

Changes

File(s)	Change Summary
utilities/plugins/openai_plugin.py	Updated _construct_request_data to set temperature to 0 for all endpoint types, and added temperature to the embeddings endpoint data.

Sequence Diagram(s)

sequenceDiagram
    participant Caller
    participant OpenAIPlugin

    Caller->>OpenAIPlugin: Call _construct_request_data(endpoint_type, ...)
    OpenAIPlugin->>OpenAIPlugin: Build data dictionary
    OpenAIPlugin->>OpenAIPlugin: Set temperature = 0 for all endpoint types
    OpenAIPlugin->>OpenAIPlugin: Add temperature to embeddings data
    OpenAIPlugin-->>Caller: Return constructed request data

Loading

Poem

A tweak to the code, cool as can be,
Temperature zero—now set universally!
Even embeddings get their chill,
In every request, calm and still.
The plugin now sends with frosty delight,
Hopping ahead, everything just right!
🐇❄️

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📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
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📥 Commits

Reviewing files that changed from the base of the PR and between bfcf992 and ccd6b1b.

📒 Files selected for processing (1)

• utilities/plugins/openai_plugin.py (1 hunks)

🧰 Additional context used

🧬 Code Graph Analysis (1)

utilities/plugins/openai_plugin.py (1)

utilities/plugins/constant.py (1)

• OpenAIEnpoints (1-6)

🔇 Additional comments (3)

utilities/plugins/openai_plugin.py (3)

162-162: LGTM: Setting temperature to 0 eliminates randomness in responses

Setting the temperature to 0 is a good approach to ensure deterministic outputs from the language model, which will make testing and validation more reliable.

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170-170: LGTM: Setting temperature to 0 for consistent outputs

Setting the temperature to 0 for all prompt types ensures consistent, deterministic outputs across the application, which is beneficial for testing and reproducibility.

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164-168:

Details

❓ Verification inconclusive

Verify appropriateness of temperature parameter for embeddings endpoint

While setting temperature to 0 aligns with the goal of reducing randomness, embedding models typically don't use a temperature parameter as they're designed to be deterministic by default. This parameter might be ignored by the standard OpenAI API.

Additionally, I noticed that encoding_format is set to 0.1, which seems unusual. The OpenAI embeddings API typically expects encoding_format to be a string like "float" or "base64", not a float value.

---

🏁 Script executed:

#!/bin/bash
# Check OpenAI API documentation for embeddings parameters
curl -s https://api.openai.com/v1/embeddings -H "Content-Type: application/json" -H "Authorization: Bearer sk-dummy" -d '{"model": "text-embedding-ada-002", "input": "test"}' | grep -i "parameter"

Length of output: 196

---

Verify Embeddings Parameters in openai_plugin.py

Please confirm against the latest OpenAI Embeddings API documentation that the parameters you’re passing are supported:

• File: utilities/plugins/openai_plugin.py
Lines 164–168

    data = {
        "input": query["text"],
        "encoding_format": 0.1,
        "temperature": 0,
    }

• The temperature field is generally ignored by embedding endpoints (they’re deterministic).
• The encoding_format value is typically a string enum (e.g. "float" or "base64"), not a numeric literal.

Refer to the OpenAI Embeddings API docs to verify the correct parameter names and value types, then update or remove any unsupported fields.

✨ Finishing Touches

• 📝 Generate Docstrings

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[jiridanek]

reduce the randomness

only reduce? shouldn't this completely eliminate any randomness from the output?

[github-actions]

Status of building tag latest: success.
Status of pushing tag latest to image registry: success.