> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sailresearch.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Overview
> The most cost-efficient serverless inference and agent sandboxes.
Sail serves trillions of tokens at unbeatable prices, with support for the best open-source models and your own LoRA fine-tunes.
To achieve maximum efficiency for long-horizon agents, we allow you to express latency tolerance with [completion windows](/completion-windows).
```python Python theme={null}
from openai import OpenAI
client = OpenAI(
base_url="https://api.sailresearch.com/v1",
api_key="YOUR_SAIL_API_KEY",
)
completion = client.chat.completions.create(
model="zai-org/GLM-5.3",
messages=[{"role": "user", "content": "What are the top 3 things to do in San Francisco?"}],
)
print(completion.choices[0].message.content)
```
```typescript TypeScript theme={null}
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.sailresearch.com/v1",
apiKey: process.env.SAIL_API_KEY,
});
const completion = await client.chat.completions.create({
model: "zai-org/GLM-5.3",
messages: [
{
role: "user",
content: "What are the top 3 things to do in San Francisco?",
},
],
});
console.log(completion.choices[0].message.content);
```
```bash cURL theme={null}
curl https://api.sailresearch.com/v1/chat/completions \
-H "Authorization: Bearer $SAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.3",
"messages": [
{
"role": "user",
"content": "What are the top 3 things to do in San Francisco?"
}
]
}'
```
```python Python theme={null}
from openai import OpenAI
client = OpenAI(
base_url="https://api.sailresearch.com/v1",
api_key="YOUR_SAIL_API_KEY",
)
response = client.responses.create(
model="zai-org/GLM-5.3",
input="What are the top 3 things to do in San Francisco?",
)
print(response.output_text)
```
```typescript TypeScript theme={null}
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.sailresearch.com/v1",
apiKey: process.env.SAIL_API_KEY,
});
const response = await client.responses.create({
model: "zai-org/GLM-5.3",
input: "What are the top 3 things to do in San Francisco?",
});
console.log(response.output_text);
```
```bash cURL theme={null}
curl https://api.sailresearch.com/v1/responses \
-H "Authorization: Bearer $SAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.3",
"input": "What are the top 3 things to do in San Francisco?"
}'
```
```python Python theme={null}
from anthropic import Anthropic
client = Anthropic(
base_url="https://api.sailresearch.com",
api_key="YOUR_SAIL_API_KEY",
)
message = client.messages.create(
model="zai-org/GLM-5.3",
max_tokens=1024,
messages=[{"role": "user", "content": "What are the top 3 things to do in San Francisco?"}],
)
for block in message.content:
if block.type == "text":
print(block.text)
```
```typescript TypeScript theme={null}
import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic({
baseURL: "https://api.sailresearch.com",
apiKey: process.env.SAIL_API_KEY,
});
const message = await client.messages.create({
model: "zai-org/GLM-5.3",
max_tokens: 1024,
messages: [
{
role: "user",
content: "What are the top 3 things to do in San Francisco?",
},
],
});
for (const block of message.content) {
if (block.type === "text") console.log(block.text);
}
```
```bash cURL theme={null}
curl https://api.sailresearch.com/v1/messages \
-H "x-api-key: $SAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.3",
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "What are the top 3 things to do in San Francisco?"
}
]
}'
```
## Intelligence at scale
More agents thinking longer and harder, with space to act and explore, can do incredible things:
-
Detail
{" "}
uses Sail inference to deeply scan codebases for their most consequential
yet hard-to-catch bugs
-
Jack & Jill
{" "}
runs large-scale deep research with Sail inference, matching job seekers'
resumes with job descriptions from thousands of employers
-
We{" "}
won Browsecomp-Plus
, the AI deep research benchmark, using open models running on Sail
inference
-
We{" "}
built Redis in Rust
{" "}
with a swarm of 4 long-horizon coding agents running on Sailboxes with Sail
inference over 27 hours
## Security & privacy
Sail has Zero Data Retention (ZDR) by default, is HIPAA and SOC 2-compliant, and does not train on any customer data without consent.
Read more about our security and privacy commitments [here](/security), or visit our Trust Center here.