GPT-5.4·续1

GPT-5.4·续1

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        "content": "Detective Mara Voss found the first clue where no clue had any business being.\n\nIt was tucked inside the mouth of a stone lion that guarded the steps of Blackwell Hall, a place better known for charity galas than murder. The victim lay inside, under a chandelier bright enough to make everyone look innocent. Guests whispered behind silk gloves. Police boots clicked across marble. But Mara stood outside in the rain, staring at the lion’s weather-dark teeth.\n\nSomeone had placed a single peach pit on its tongue.\n\nNot dropped. Placed.\n\nShe lifted it carefully with her handkerchief. The pit had been polished until it shone, and carved into its surface was the tiniest image of a key.\n\nMara looked up at the mansion windows. On the third floor, one curtain moved, though the glass behind it was black.\n\nA dead banker in the ballroom was ordinary, as far as her city was concerned. A carved peach pit hidden in a stone lion’s mouth was not.\n\nThat was when she began to suspect the murder had started long before the body hit the floor.",
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</details>

<summary>Streaming Response — Enable streaming for real-time output</summary>

const response = await env.AI.run(
  'openai/gpt-5.4',
  {
    messages: [{ content: 'Explain the concept of recursion with a simple example.', role: 'user' }],
    stream: true,
    stream_options: { include_usage: true },
  },
)
console.log(response)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
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  "messages": [
    {
      "content": "Explain the concept of recursion with a simple example.",
      "role": "user"
    }
  ],
  "stream": true,
  "stream_options": {
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}'

Recursion is when a function solves a problem by calling itself on a smaller version of the same problem.

It usually has 2 parts:

1. **Base case** — the condition where the function stops calling itself.
2. **Recursive case** — the part where the function calls itself with a smaller input.

### Simple example: factorial

The factorial of a number means:

- `5! = 5 × 4 × 3 × 2 × 1`
- `1! = 1`

A recursive version looks like this in Python:

```python
def factorial(n):
    if n == 1:          # base case
        return 1
    return n * factorial(n - 1)   # recursive case

print(factorial(5))
```

### How it works for `factorial(5)`

- `factorial(5)` → `5 * factorial(4)`
- `factorial(4)` → `4 * factorial(3)`
- `factorial(3)` → `3 * factorial(2)`
- `factorial(2)` → `2 * factorial(1)`
- `factorial(1)` → `1` ← base case

Then it returns back up:

- `factorial(2)` = `2 * 1 = 2`
- `factorial(3)` = `3 * 2 = 6`
- `factorial(4)` = `4 * 6 = 24`
- `factorial(5)` = `5 * 24 = 120`

### Key idea

Recursion works by breaking a big problem into smaller, similar problems until it reaches a simple stopping point.

If you want, I can also show a **real-life analogy** or a **non-math recursion example**.

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</details>

<summary>Web Search — Letting the model use OpenAI's built-in web search tool to answer with current information</summary>

const response = await env.AI.run(
  'openai/gpt-5.4',
  {
    input: 'What were the top news stories about Cloudflare this week? Summarise in three bullets.',
    max_output_tokens: 4096,
    tools: [{ type: 'web_search_preview' }],
  },
)
console.log(response)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/responses \
  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/gpt-5.4",
  "input": "What were the top news stories about Cloudflare this week? Summarise in three bullets.",
  "max_output_tokens": 4096,
  "tools": [
    {
      "type": "web_search_preview"
    }
  ]
}'

Here are the top Cloudflare stories I found for **this week of June 16–22, 2026**:

- **Cloudflare unveiled a new browser-backed web standard effort on June 22.** It said it is working with **Mozilla, Google, Microsoft, and Shopify** on **Private Access Control Tokens (PACT)**, a privacy-first protocol meant to help websites distinguish legitimate humans and authorized bots from malicious automation without relying as heavily on CAPTCHAs or invasive tracking. ([cloudflare.com](https://www.cloudflare.com/press/press-releases/2026/cloudflare-collaborates-with-leading-browsers-to-develop-a-privacy-first-protocol-for-the-global-internet/))

- **Cloudflare launched a new partner program push around AI and SASE on June 17–18.** The company introduced a **Cloudflare One Design Partner** designation and an **AI-powered deployment toolkit / Cloudflare One Stack** aimed at helping partners migrate customers from legacy security setups to Cloudflare’s SASE platform more quickly. ([cloudflare.com](https://www.cloudflare.com/press/press-releases/))

- **Cloudflare was also in the spotlight for a major outage discussion on June 22.** Community and operator reports pointed to a widespread incident affecting North America, with users debating Cloudflare’s status-page timing and some commenters attributing the disruption to a large **fiber cut in the eastern U.S.** That attribution appears to be community reporting rather than an official Cloudflare statement, so treat it as provisional. ([reddit.com](https://www.reddit.com/r/sysadmin/comments/1ucmhpy/cloudflares_outage_and_the_ethics_of_fudging/))

If you want, I can also turn this into a **more polished “executive brief” version** or include **links to the original articles/press releases**.

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</details>

Parameters

Schema variant

ResponsesChat Completions

▶input

one ofrequired

instructions

string

temperature

numberminimum: 0maximum: 2

max_output_tokens

numberexclusiveMinimum: 0

top_p

numberminimum: 0maximum: 1

stream

boolean

▶tools[]

array

tool_choice

▶text{}

object

▶reasoning{}

object

▶messages[]

arrayrequired

temperature

numberminimum: 0maximum: 2

max_tokens

numberexclusiveMinimum: 0

max_completion_tokens

numberexclusiveMinimum: 0

top_p

numberminimum: 0maximum: 1

frequency_penalty

numberminimum: -2maximum: 2

presence_penalty

numberminimum: -2maximum: 2

stream

boolean

▶stream_options{}

object

▶tools[]

array

tool_choice

response_format

▶modalities[]

array

▶audio{}

object

reasoning_effort

stringOptional reasoning control; availability and accepted values are model-dependent.

string

object

stringconst: response

created_at

number

model

string

▶output[]

array

output_text

string

status

stringenum: in_progress, completed, failed, incomplete

▶usage{}

object

string

object

string

created

number

model

string

▶choices[]

array

▶usage{}

object

API Schemas (Raw)

Input Open Download

Output Open Download

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description: GPT-5.4 mini is a smaller, faster, and more cost-efficient version of GPT-5.4 for lightweight tasks. title: GPT-5.4 mini image: https://developers.cloudflare.com/og-docs.png

GPT-5.4·续1

GPT-5.4·续1

Parameters

API Schemas (Raw)

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