深度研究

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import OpenAI from "openai";
const openai = new OpenAI({ timeout: 3600 * 1000 });


const input = `
Research the economic impact of semaglutide on global healthcare systems.
Do:
- Include specific figures, trends, statistics, and measurable outcomes.
- Prioritize reliable, up-to-date sources: peer-reviewed research, health
  organizations (e.g., WHO, CDC), regulatory agencies, or pharmaceutical
  earnings reports.
- Include inline citations and return all source metadata.

Be analytical, avoid generalities, and ensure that each section supports
data-backed reasoning that could inform healthcare policy or financial modeling.
`;

const response = await openai.responses.create({
  model: "o3-deep-research",
  input,
  background: true,
  tools: [
    { type: "web_search_preview" },
    {
      type: "file_search",
      vector_store_ids: [
        "vs_68870b8868b88191894165101435eef6",
        "vs_12345abcde6789fghijk101112131415"
      ],
    },
    { type: "code_interpreter", container: { type: "auto" } },
  ],
});

console.log(response);

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curl https://api.openai.com/v1/responses   -H "Authorization: Bearer $OPENAI_API_KEY"   -H "Content-Type: application/json"   -d '{
    "model": "o3-deep-research",
    "input": "Research the economic impact of semaglutide on global healthcare systems. Include specific figures, trends, statistics, and measurable outcomes. Prioritize reliable, up-to-date sources: peer-reviewed research, health organizations (e.g., WHO, CDC), regulatory agencies, or pharmaceutical earnings reports. Include inline citations and return all source metadata. Be analytical, avoid generalities, and ensure that each section supports data-backed reasoning that could inform healthcare policy or financial modeling.",
    "background": true,
    "tools": [
      { "type": "web_search_preview" },
      {
        "type": "file_search",
        "vector_store_ids": [
          "vs_68870b8868b88191894165101435eef6",
          "vs_12345abcde6789fghijk101112131415"
        ]
      },
      { "type": "code_interpreter", "container": { "type": "auto" } }
    ]
  }'

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import OpenAI from "openai";
const openai = new OpenAI();

const instructions = `
You are talking to a user who is asking for a research task to be conducted. Your job is to gather more information from the user to successfully complete the task.

GUIDELINES:
- Be concise while gathering all necessary information**
- Make sure to gather all the information needed to carry out the research task in a concise, well-structured manner.
- Use bullet points or numbered lists if appropriate for clarity.
- Don't ask for unnecessary information, or information that the user has already provided.

IMPORTANT: Do NOT conduct any research yourself, just gather information that will be given to a researcher to conduct the research task.
`;

const input = "Research surfboards for me. I'm interested in ...";

const response = await openai.responses.create({
model: "gpt-4.1",
input,
instructions,
});

console.log(response.output_text);

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curl https://api.openai.com/v1/responses \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "model": "gpt-4.1",
  "input": "Research surfboards for me. Im interested in ...",
  "instructions": "You are talking to a user who is asking for a research task to be conducted. Your job is to gather more information from the user to successfully complete the task. GUIDELINES: - Be concise while gathering all necessary information** - Make sure to gather all the information needed to carry out the research task in a concise, well-structured manner. - Use bullet points or numbered lists if appropriate for clarity. - Don't ask for unnecessary information, or information that the user has already provided. IMPORTANT: Do NOT conduct any research yourself, just gather information that will be given to a researcher to conduct the research task."
}'

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import OpenAI from "openai";
const openai = new OpenAI();

const instructions = `
You will be given a research task by a user. Your job is to produce a set of
instructions for a researcher that will complete the task. Do NOT complete the
task yourself, just provide instructions on how to complete it.

GUIDELINES:
1. **Maximize Specificity and Detail**
- Include all known user preferences and explicitly list key attributes or
  dimensions to consider.
- It is of utmost importance that all details from the user are included in
  the instructions.

2. **Fill in Unstated But Necessary Dimensions as Open-Ended**
- If certain attributes are essential for a meaningful output but the user
  has not provided them, explicitly state that they are open-ended or default
  to no specific constraint.

3. **Avoid Unwarranted Assumptions**
- If the user has not provided a particular detail, do not invent one.
- Instead, state the lack of specification and guide the researcher to treat
  it as flexible or accept all possible options.

4. **Use the First Person**
- Phrase the request from the perspective of the user.

5. **Tables**
- If you determine that including a table will help illustrate, organize, or
  enhance the information in the research output, you must explicitly request
  that the researcher provide them.

Examples:
- Product Comparison (Consumer): When comparing different smartphone models,
  request a table listing each model's features, price, and consumer ratings
  side-by-side.
- Project Tracking (Work): When outlining project deliverables, create a table
  showing tasks, deadlines, responsible team members, and status updates.
- Budget Planning (Consumer): When creating a personal or household budget,
  request a table detailing income sources, monthly expenses, and savings goals.
- Competitor Analysis (Work): When evaluating competitor products, request a
  table with key metrics, such as market share, pricing, and main differentiators.

6. **Headers and Formatting**
- You should include the expected output format in the prompt.
- If the user is asking for content that would be best returned in a
  structured format (e.g. a report, plan, etc.), ask the researcher to format
  as a report with the appropriate headers and formatting that ensures clarity
  and structure.

7. **Language**
- If the user input is in a language other than English, tell the researcher
  to respond in this language, unless the user query explicitly asks for the
  response in a different language.

8. **Sources**
- If specific sources should be prioritized, specify them in the prompt.
- For product and travel research, prefer linking directly to official or
  primary websites (e.g., official brand sites, manufacturer pages, or
  reputable e-commerce platforms like Amazon for user reviews) rather than
  aggregator sites or SEO-heavy blogs.
- For academic or scientific queries, prefer linking directly to the original
  paper or official journal publication rather than survey papers or secondary
  summaries.
- If the query is in a specific language, prioritize sources published in that
  language.
`;

const input = "Research surfboards for me. I'm interested in ...";

const response = await openai.responses.create({
  model: "gpt-4.1",
  input,
  instructions,
});

console.log(response.output_text);

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curl https://api.openai.com/v1/responses \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1",
    "input": "Research surfboards for me. Im interested in ...",
    "instructions": "You are a helpful assistant that generates a prompt for a deep research task. Examine the users prompt and generate a set of clarifying questions that will help the deep research model generate a better response."
  }'

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curl https://api.openai.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
  "model": "o3-deep-research",
  "tools": [
    {
      "type": "mcp",
      "server_label": "mycompany_mcp_server",
      "server_url": "https://mycompany.com/mcp",
      "require_approval": "never"
    }
  ],
  "input": "What similarities are in the notes for our closed/lost Salesforce opportunities?"
}'

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import OpenAI from "openai";
const client = new OpenAI();

const instructions = "<deep research instructions...>";

const resp = await client.responses.create({
  model: "o3-deep-research",
  background: true,
  reasoning: {
    summary: "auto",
  },
  tools: [
    {
      type: "mcp",
      server_label: "mycompany_mcp_server",
      server_url: "https://mycompany.com/mcp",
      require_approval: "never",
    },
  ],
  instructions,
  input: "What similarities are in the notes for our closed/lost Salesforce opportunities?",
});

console.log(resp.output_text);