User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: how do I add v1/models and v1/chat/completions as aliases to the existing ones, elegantly ?

npm run fix-lint && npm run dev



 for "how do I add v1/models and v1/chat/completions as aliases to the existing ones, elegantly ?

npm run fix-lint && npm run dev
":

1.
URL: https://stackoverflow.com/questions/76192496/openai-v1-completions-vs-v1-chat-completions-end-points
Title: Openai /v1/completions vs. /v1/chat/completions end points
Content: <b>The</b> /<b>v1/chat/completions</b> API is for the newer - chat models (<b>as</b> Oleg mentioned). gpt-3.5-turbo is great because it can do everything DaVinci can but its cheaper (1/10 the cost) the down side is that - for it to perform the same as DaVinci it might require bigger input and the input might be more complex.

2.
URL: https://stackoverflow.com/questions/75774873/openai-api-error-this-is-a-chat-model-and-not-supported-in-the-v1-completions
Title: OpenAI API error: &quot;This is a chat model and not supported in the v1 ...
Content: <b>The</b> model model = 'gpt-3.5-turbo' isn't supported with the endpoint /v1/completions. It needs /<b>v1/chat/completions</b> endpoint. Change your code accordingly and it works let us know if you still have any issues You can refer to the documentation for all the various endpoints and their respective endpoints official documentation

3.
URL: https://community.openai.com/t/v1-completions-vs-v1-chat-completions-endpoints/271164
Title: /v1/completions vs /v1/chat/completions endpoints - API - OpenAI ...
Content: <b>The</b> advantage I see when using chat/completions is that I can send the main prompt with the instruction once, then keep on appending the text until I reach the max tokens. So i can actually save a bit of $ in there. Appart from that, I see that chat/completions include GPT models while /v1/completions only text-* <b>ones,</b> like text-davinci-003.

4.
URL: https://github.com/orgs/community/discussions/137223
Title: Use the compatible API format v1/chat/completions; #137223 - GitHub
Content: Use the compatible API format <b>v1/chat/completions</b>; Select Topic Area Product Feedback Body The API format of many model providers, including OpenAI, <b>is</b>: <b>v1/chat/completions</b>. Many open-source projects only support defining BASE_URL (<b>the</b> complete API...

5.
URL: https://community.openai.com/t/how-to-use-gpt-4-model-via-v1-completions/664293
Title: How to use GPT-4 Model via v1/completions? - API
Content: So, I think you should plan to change to the <b>v1/chat/completions</b> service. On the other hand, it is fine to see different results between different services and models. The best that you could do is to improve your prompt to receive a more detailed response, perhaps you could <b>add</b> <b>to</b> your current prompt: "You are a seasoned <whatever> and I ...

6.
URL: https://github.com/huggingface/text-generation-inference/issues/1997
Title: [Feature Request] Add `v1/completions` alongside existing `v1/chat ...
Content: Feature request. It'd be great if v1/completions were implemented.. Motivation. This makes it easier to migrate code. The chat completion endpoint isn't appropriate for some tasks - e.g. where a prefix needs to be added to the assistant message that is being generated. I'm currently using vLLM for an evaluation suite with their OpenAI compatible API, and wanted to compare, thinking I could ...

7.
URL: https://community.openai.com/t/error-invalidrequesterror-this-is-not-a-chat-model-and-thus-not-supported-in-the-v1-chat-completions-endpoint/454219
Title: Error: InvalidRequestError: This is not a chat model and thus not ...
Content: <b>to</b> tl:dr; what @PaulBellow said:. text-davinci is not a chat model. you can think of text-davinci and the other completion models as autocomplete. these models have simpler APIs than chat AI APIs. they just take a string instead of a message array, hence the response: "This is not a chat model and thus not supported in the <b>v1/chat/completions</b> endpoint"

8.
URL: https://deepinfra.com/docs/openai_api
Title: Use OpenAI API clients with LLaMas | ML Models | DeepInfra
Content: For Python you should run. pip install openai For JavaScript/Node.js you should run. <b>npm</b> install openai Chat Completions. The Chat Completions API is the easiest to use. You exchange messages and it just works. You can change the model to another LLM and it will continue working.

9.
URL: https://docs.vllm.ai/en/latest/getting_started/examples/openai_chat_completion_client_with_tools.html
Title: OpenAI Chat Completion Client With Tools — vLLM
Content: 1 """ 2 Set up this example by starting a vLLM OpenAI-compatible server with tool call 3 options enabled. For example: 4 5 IMPORTANT: for mistral, you must use <b>one</b> of the provided mistral tool call 6 templates, or your own - the model default doesn't work for tool calls with vLLM 7 See the vLLM docs on OpenAI server & tool calling for more ...

10.
URL: https://community.make.com/t/cant-get-gpt-model-to-do-prompt-completion/32669
Title: Can&#x27;t Get GPT Model to do prompt completion - Make Community
Content: Hi there, I'm presently trying to get Chat GPT to do a prompt completion but regardless of what I try I get "[404] This is a chat model and not supported in the v1/completions endpoint. Did you mean to use <b>v1/chat/completions</b>?" I'm presently trying to have it run gpt-3.5-turbo-0125 Which is the only version I have visible to choose from that isn't labeled "instruct." I've ...

11.
URL: https://www.solveforum.com/forums/threads/solved-openai-v1-completions-vs-v1-chat-completions-end-points.2803785/
Title: [Solved] Openai /v1/completions vs. /v1/chat/completions end points
Content: David Zayn Asks: Openai /v1/completions vs. /<b>v1/chat/completions</b> end points class OpenaiClassifier(): def __init__(self, api_keys)... Home. Forums. New posts Search forums. What's new. New posts New profile posts Latest activity. Members. Current visitors New profile posts Search profile posts.

12.
URL: https://github.com/ollama/ollama/issues/3027
Title: /v1/completions OpenAI compatible api #3027 - GitHub
Content: You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window.

13.
URL: https://docs.gpt4all.io/gpt4all_api_server/home.html
Title: GPT4All API Server - GPT4All
Content: GPT4All API Server. GPT4All provides a local API server that allows you to run LLMs over an HTTP API. Key Features. Local Execution: Run models on your own hardware for privacy and offline use.; LocalDocs Integration: Run the API with relevant text snippets provided to your LLM from a LocalDocs collection.; OpenAI API Compatibility: Use <b>existing</b> OpenAI-compatible clients and tools with your ...

14.
URL: https://community.openai.com/t/why-was-max-tokens-changed-to-max-completion-tokens/938077
Title: Why was max_tokens changed to max_completion_tokens?
Content: <b>The</b> new o1 series of models deprecate the max_tokens parameter in favor of a new max_completion_tokens parameter and I'd like to understand the rational for this change as it's likely to have wide sweeping impacts for what appears to be a simple wording change.. Most of the breaking changes up to this point have made sense but I can't understand the rational for this as it looks like you ...

15.
URL: https://github.com/run-llama/llama_index/issues/1332
Title: This is not a chat model and thus not supported in the v1/chat ... - GitHub
Content: This is not a chat model and thus not supported in the <b>v1/chat/completions</b> endpoint. Did you mean to use v1/completions? ... Find and fix vulnerabilities Actions. Automate any workflow Codespaces. Instant dev environments Issues. Plan and track work Code Review. Manage code changes Discussions. Collaborate outside of code ...


Assistant: To add `/v1/models` and `/v1/chat/completions` as aliases elegantly, you typically need to modify routing configurations or use an aliasing mechanism. Here are some general steps, summarized based on practices and discussions:

1. **Modify Routing**:
   - For web applications, update the routing configuration to map the new endpoint paths to the existing ones. This can often be done in server configuration files or through middleware.

2. **Create Middleware or Proxy**:
   - Implement middleware to intercept requests to `/v1/models` and `/v1/chat/completions` and reroute them to the current endpoints. This way, you keep your core logic untouched while extending functionality.

3. **Use API Gateway**:
   - If your architecture uses an API Gateway, you can define routing rules to alias paths without changing the backend code.

4. **Express.js Specific**:
   - In an Express.js application, you can use the `app.use()` method to route incoming requests to the new paths:
     ```javascript
     app.use('/v1/models', (req, res, next) => {
       req.url = '/existing/models';  // Map to existing path
       next(); 
     });

     app.use('/v1/chat/completions', (req, res, next) => {
       req.url = '/existing/chat/completions';  // Map to existing path
       next(); 
     });
     ```
   This approach is often combined with commands like `npm run fix-lint` to ensure code quality and `npm run dev` to run the server for development.

You might need to explore the configuration options depending on your specific setup (e.g., specific frameworks or platform services in use). Also, always ensure your changes are tested thoroughly to prevent route conflicts or unexpected behavior.
User: wait but its a post req
Assistant: