Chat completions

curl https://api.sid-1.com/v1/chat/completions \  -H "Authorization: Bearer $SID_API_KEY" \  -H "Content-Type: application/json" \  -d '{    "model": "sid-1",    "messages": [      { "role": "system", "content": "You are SID-1, an agentic retrieval model. Search the knowledge base to answer the question. Use `search` for semantic queries, `text_search` for exact keywords and phrases, and `read` to fetch a document's full text by id. Issue tool calls in parallel when you can. When you have enough evidence, call `report_helpful_ids` with the document ids that best answer the question, ranked most helpful first." },      { "role": "user", "content": "Which clauses in our master agreement were overridden by later amendments?" }    ],    "tools": [      { "type": "function", "function": { "name": "search" } },      { "type": "function", "function": { "name": "text_search" } },      { "type": "function", "function": { "name": "read" } },      { "type": "function", "function": { "name": "report_helpful_ids" } }    ]  }'

import osfrom openai import OpenAIclient = OpenAI(    api_key=os.environ["SID_API_KEY"],    base_url="https://api.sid-1.com/v1",)SYSTEM_PROMPT = (    "You are SID-1, an agentic retrieval model. Search the knowledge base to answer the question. Use `search` for semantic queries, `text_search` for exact keywords and phrases, and `read` to fetch a document's full text by id. Issue tool calls in parallel when you can. When you have enough evidence, call `report_helpful_ids` with the document ids that best answer the question, ranked most helpful first.")tools = [    {"type": "function", "function": {"name": "search"}},    {"type": "function", "function": {"name": "text_search"}},    {"type": "function", "function": {"name": "read"}},    {"type": "function", "function": {"name": "report_helpful_ids"}},]response = client.chat.completions.create(    model="sid-1",    messages=[        {"role": "system", "content": SYSTEM_PROMPT},        {            "role": "user",            "content": "Which clauses in our master agreement were overridden by later amendments?",        },    ],    tools=tools,)# sid-1 replies with tool calls — run them against your search backend, append# the results to messages, and call again until it returns report_helpful_ids.print(response.choices[0].message.tool_calls)

import OpenAI from "openai";const client = new OpenAI({  apiKey: process.env.SID_API_KEY,  baseURL: "https://api.sid-1.com/v1",});const systemPrompt =  "You are SID-1, an agentic retrieval model. Search the knowledge base to answer the question. Use `search` for semantic queries, `text_search` for exact keywords and phrases, and `read` to fetch a document's full text by id. Issue tool calls in parallel when you can. When you have enough evidence, call `report_helpful_ids` with the document ids that best answer the question, ranked most helpful first.";const tools: OpenAI.Chat.Completions.ChatCompletionTool[] = [  { type: "function", function: { name: "search" } },  { type: "function", function: { name: "text_search" } },  { type: "function", function: { name: "read" } },  { type: "function", function: { name: "report_helpful_ids" } },];const response = await client.chat.completions.create({  model: "sid-1",  messages: [    { role: "system", content: systemPrompt },    {      role: "user",      content:        "Which clauses in our master agreement were overridden by later amendments?",    },  ],  tools,});// sid-1 replies with tool calls — run them against your search backend, append// the results to messages, and call again until it returns report_helpful_ids.console.log(response.choices[0]?.message?.tool_calls);