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Hello @ankumar, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
Summary of Changes
This pull request updates the README.md file for the Javelin Python client package. The primary change is the removal of the 'Direct OpenAI-Compatible Usage', 'Using Javelin SDK', and 'Using Universal Endpoints in OpenAI-Compatible Format' sections, and moving the 'Additional Integration Patterns' section to the bottom of the document. This appears to be an effort to streamline the README and focus on universal endpoints and other integration patterns.
Highlights
- README Update: The README.md file has been updated to remove specific usage examples and reorganize content.
- Content Removal: Sections detailing 'Direct OpenAI-Compatible Usage', 'Using Javelin SDK', and 'Using Universal Endpoints in OpenAI-Compatible Format' have been removed.
- Section Reorganization: The 'Additional Integration Patterns' section has been moved to the end of the document.
Changelog
- README.md
- Removed 'Direct OpenAI-Compatible Usage' section (lines 67-86).
- Removed 'Using Javelin SDK' section (lines 88-115).
- Removed 'Using Universal Endpoints in OpenAI-Compatible Format' section (lines 117-147).
- Moved 'Additional Integration Patterns' section to the bottom of the file (lines 149-155 to lines 100-106).
- Added a newline after the Javelin documentation link (line 6).
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A README's tale,
Sections removed, set to sail,
Content rearranged,
A clearer page gained,
Docs now on a focused trail.
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Code Review
The pull request updates the README.md file to improve documentation and provide more relevant information about Javelin's universal endpoints and integration patterns. The changes include adding a space for readability, removing outdated examples, and reorganizing the content to highlight universal endpoints and additional integration patterns.
Merge Readiness
The changes in this pull request enhance the clarity and relevance of the README.md file. While the updates are beneficial, I recommend ensuring that all links are valid and that the removed examples are no longer needed before merging. I am unable to approve this pull request, and users should have others review and approve this code before merging.
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| ### Direct OpenAI-Compatible Usage | ||
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| ```python | ||
| from openai import OpenAI | ||
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| # Initialize client with Javelin endpoint | ||
| client = OpenAI( | ||
| base_url="https://api.javelin.live/v1/query/your_route", | ||
| api_key="your_api_key" | ||
| ) | ||
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| # Make requests using standard OpenAI format | ||
| response = client.chat.completions.create( | ||
| model="gpt-3.5-turbo", | ||
| messages=[ | ||
| {"role": "system", "content": "You are a helpful assistant."}, | ||
| {"role": "user", "content": "Hello!"} | ||
| ] | ||
| ) | ||
| ``` | ||
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| ### Using Javelin SDK | ||
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| ```python | ||
| import os | ||
| from openai import OpenAI | ||
| import dotenv | ||
| dotenv.load_dotenv() | ||
| # Configure regular route with Javelin headers | ||
| javelin_api_key = os.getenv("JAVELIN_API_KEY") | ||
| llm_api_key = os.getenv("OPENAI_API_KEY") | ||
| javelin_headers = { | ||
| "x-api-key": javelin_api_key, | ||
| } | ||
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| client = OpenAI( | ||
| base_url="https://api-dev.javelin.live/v1/query/<route>", | ||
| default_headers=javelin_headers | ||
| ) | ||
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| response = client.chat.completions.create( | ||
| model="gpt-4o", | ||
| messages=[ | ||
| {"role": "user", "content": "hello"} | ||
| ], | ||
| ) | ||
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| print(response.model_dump_json(indent=2)) | ||
| ``` | ||
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| ### Using Universal Endpoints in OpenAI-Compatible Format | ||
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| ```python | ||
| from javelin_sdk import JavelinClient, JavelinConfig | ||
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| # Setup client configuration | ||
| config = JavelinConfig( | ||
| base_url="https://api.javelin.live", | ||
| javelin_api_key="your_javelin_api_key" | ||
| ) | ||
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| client = JavelinClient(config) | ||
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| # Set headers for universal endpoint | ||
| custom_headers = { | ||
| "Content-Type": "application/json", | ||
| "x-javelin-route": "univ_bedrock" # Change route as needed (univ_azure, univ_bedrock, univ_gemini) | ||
| } | ||
| client.set_headers(custom_headers) | ||
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| # Make requests using OpenAI format | ||
| response = client.chat.completions.create( | ||
| messages=[ | ||
| {"role": "system", "content": "You are a helpful assistant."}, | ||
| {"role": "user", "content": "What are the three primary colors?"} | ||
| ], | ||
| temperature=0.7, | ||
| max_tokens=150, | ||
| model="amazon.titan-text-express-v1" # Use appropriate model for your endpoint | ||
| ) | ||
| ``` | ||
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| ## Additional Integration Patterns | ||
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| For more detailed examples and integration patterns, check out: | ||
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| - [Azure OpenAI Integration](https://docs.getjavelin.io/docs/javelin-core/integration#2-azure-openai-api-endpoints) | ||
| - [AWS Bedrock Integration](https://docs.getjavelin.io/docs/javelin-core/integration#2-azure-openai-api-endpoints) | ||
| - [Supported Language Models](https://docs.getjavelin.io/docs/javelin-core/supported-llms) | ||
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| ## [Universal Endpoints](https://docs.getjavelin.io/docs/javelin-core/integration#unified-endpoints) | ||
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| Javelin provides universal endpoints that allow you to use a consistent interface across different LLM providers. Here are the main patterns: |
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The removal of the Direct OpenAI-Compatible Usage, Using Javelin SDK, and Using Universal Endpoints in OpenAI-Compatible Format sections simplifies the README and focuses on the more current and recommended Universal Endpoints approach. This is a good change to streamline the documentation.
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