- Third-party
DeepSeek V4 Pro is a high-capability reasoning model from DeepSeek, served via Fireworks infrastructure for production-grade inference.
| Model Info | |
|---|---|
| Context Window ↗ | 131,072 tokens |
| More information | link ↗ |
| Request formats | Chat Completions |
| Pricing | View pricing in the Cloudflare dashboard ↗ |
Usage
const response = await env.AI.run(
'deepseek/deepseek-v4-pro',
{
messages: [{ content: 'What is the capital of France?', role: 'user' }],
model: 'deepseek/deepseek-v4-pro',
},
)
console.log(response)curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "deepseek/deepseek-v4-pro",
"messages": [
{
"content": "What is the capital of France?",
"role": "user"
}
]
}'The capital of France is **Paris**.
{
"id": "chatcmpl-3a08845344c942108c3ab7b29112f012",
"object": "chat.completion",
"created": 1781047641,
"model": "deepseek/deepseek-v4-pro",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "The capital of France is **Paris**.",
"reasoning_content": "We need to answer the question: \"What is the capital of France?\" This is straightforward. The capital of France is Paris. I should answer concisely."
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 11,
"completion_tokens": 43,
"total_tokens": 54,
"prompt_tokens_details": {
"cached_tokens": 0
}
},
"gatewayMetadata": {
"keySource": "Unified"
}
}Examples
With System Message — Using a system message to set context
const response = await env.AI.run(
'deepseek/deepseek-v4-pro',
{
messages: [
{ content: 'You are a helpful coding assistant specializing in Python.', role: 'system' },
{ content: 'How do I read a JSON file in Python?', role: 'user' },
],
model: 'deepseek/deepseek-v4-pro',
temperature: 0.3,
},
)
console.log(response)curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "deepseek/deepseek-v4-pro",
"messages": [
{
"content": "You are a helpful coding assistant specializing in Python.",
"role": "system"
},
{
"content": "How do I read a JSON file in Python?",
"role": "user"
}
],
"temperature": 0.3
}'To read a JSON file in Python, you use the built-in `json` module. The most common approach is `json.load()` which reads directly from a file object.
### Basic example
```python
import json
with open('data.json', 'r', encoding='utf-8') as f:
data = json.load(f)
print(data)
```
### Key points
- **`json.load(file)`** – parses JSON from a file-like object.
- **`json.loads(string)`** – parses JSON from a string (useful if you already have JSON data in memory).
- Always open the file in read mode (`'r'`) and specify the correct encoding (usually `'utf-8'`).
- The result is a Python dictionary (if the JSON is an object) or a list (if it’s an array).
### Handling errors
Wrap the loading in a `try`/`except` to catch malformed JSON or file issues:
```python
import json
try:
with open('data.json', 'r', encoding='utf-8') as f:
data = json.load(f)
except FileNotFoundError:
print("File not found.")
except json.JSONDecodeError as e:
print(f"Invalid JSON: {e}")
```
### Reading from a string
If you already have a JSON string:
```python
json_string = '{"name": "Alice", "age": 30}'
data = json.loads(json_string)
```
That’s it! Let me know if you need help with writing JSON or more advanced usage. {
"id": "chatcmpl-1aecff3044dc4e349362b9237f0e63b4",
"object": "chat.completion",
"created": 1781047642,
"model": "deepseek/deepseek-v4-pro",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "To read a JSON file in Python, you use the built-in `json` module. The most common approach is `json.load()` which reads directly from a file object.\n\n### Basic example\n```python\nimport json\n\nwith open('data.json', 'r', encoding='utf-8') as f:\n data = json.load(f)\n\nprint(data)\n```\n\n### Key points\n- **`json.load(file)`** – parses JSON from a file-like object.\n- **`json.loads(string)`** – parses JSON from a string (useful if you already have JSON data in memory).\n- Always open the file in read mode (`'r'`) and specify the correct encoding (usually `'utf-8'`).\n- The result is a Python dictionary (if the JSON is an object) or a list (if it’s an array).\n\n### Handling errors\nWrap the loading in a `try`/`except` to catch malformed JSON or file issues:\n```python\nimport json\n\ntry:\n with open('data.json', 'r', encoding='utf-8') as f:\n data = json.load(f)\nexcept FileNotFoundError:\n print(\"File not found.\")\nexcept json.JSONDecodeError as e:\n print(f\"Invalid JSON: {e}\")\n```\n\n### Reading from a string\nIf you already have a JSON string:\n```python\njson_string = '{\"name\": \"Alice\", \"age\": 30}'\ndata = json.loads(json_string)\n```\n\nThat’s it! Let me know if you need help with writing JSON or more advanced usage.",
"reasoning_content": "We need to provide a clear, concise answer on how to read a JSON file in Python. The user likely wants to know the standard method using the `json` module. We'll explain opening the file, using `json.load()` for file objects, and `json.loads()` for strings. Also mention error handling, encoding, and maybe a simple example. Keep it friendly and informative."
},
"finish_reason": "stop"
}
],
"usage": {
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"completion_tokens": 413,
"total_tokens": 437,
"prompt_tokens_details": {
"cached_tokens": 0
}
},
"gatewayMetadata": {
"keySource": "Unified"
}
}Streaming Response — Enable streaming for real-time output
const response = await env.AI.run(
'deepseek/deepseek-v4-pro',
{
messages: [{ content: 'Explain the concept of recursion with a simple example.', role: 'user' }],
model: 'deepseek/deepseek-v4-pro',
stream: 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 '{
"model": "deepseek/deepseek-v4-pro",
"messages": [
{
"content": "Explain the concept of recursion with a simple example.",
"role": "user"
}
],
"stream": true
}'Recursion is a programming technique where a function calls itself to solve a smaller version of the same problem. Each recursive call works on a simpler input, and there’s always a **base case** that stops the recursion, preventing an infinite loop.
### The Two Essential Parts
1. **Base case** – the simplest scenario that can be answered directly (no more recursive calls).
2. **Recursive case** – the function calls itself with a smaller/simpler argument, moving toward the base case.
### Simple Example: Factorial
The factorial of a non-negative integer `n` (written `n!`) is the product of all positive integers up to `n`.
Definition:
- `0! = 1` (base case)
- `n! = n × (n−1)!` for `n > 0` (recursive case)
#### Python implementation
```python
def factorial(n):
if n == 0: # base case
return 1
else: # recursive case
return n * factorial(n - 1)
```
#### How it works step-by-step for `factorial(3)`
```
factorial(3)
→ 3 * factorial(2) # waiting for factorial(2)
→ 2 * factorial(1) # waiting for factorial(1)
→ 1 * factorial(0)
→ 0 == 0? → return 1 # base case reached
→ 1 * 1 = 1
→ 2 * 1 = 2
→ 3 * 2 = 6
```
The calls "stack up" until the base case is hit, then they resolve in reverse order, multiplying as they go.
### Key Takeaways
- Recursion breaks a problem into self-similar subproblems.
- Every recursive function needs a stopping condition (base case).
- Without a base case, you get infinite recursion (eventually a stack overflow).
- It’s especially natural for problems with a recursive structure (trees, sorting, divide-and-conquer, etc.). [
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