Source: https://ailoot.ai/models/en/gpt-6-astra/
Canonical: https://ailoot.ai/models/en/gpt-6-astra/
Language: en
# OpenAI: GPT-6 Astra
[Markdown](https://ailoot.ai/models/en/gpt-6-astra/index.md) · [JSON](https://ailoot.ai/models/en/gpt-6-astra/facts.json)
## [OpenAI: GPT-6 Astra](https://ailoot.ai/models/en/gpt-6-astra/)
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-0)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-1)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-2)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-3)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-4)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `gpt`](https://ailoot.ai/models/en/gpt-6-astra/#method-5)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `gpt`](https://ailoot.ai/models/en/gpt-6-astra/#method-6)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `gpt`](https://ailoot.ai/models/en/gpt-6-astra/#method-7)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `gpt-latest`](https://ailoot.ai/models/en/gpt-6-astra/#method-8)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `gpt-latest`](https://ailoot.ai/models/en/gpt-6-astra/#method-9)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `gpt-latest`](https://ailoot.ai/models/en/gpt-6-astra/#method-10)
- [**Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-11)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `openai/gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-12)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `openai/gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-13)
- [**Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `openai/gpt-6-astra`](https://ailoot.ai/models/en/gpt-6-astra/#method-14)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `~openai/gpt-astra-latest`](https://ailoot.ai/models/en/gpt-6-astra/#method-15)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `~openai/gpt-astra-latest`](https://ailoot.ai/models/en/gpt-6-astra/#method-16)
- [**Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `~openai/gpt-astra-latest`](https://ailoot.ai/models/en/gpt-6-astra/#method-17)
About the model
This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.
#### Research, development and document creation
GPT-6 Astra is an OpenAI model for demanding reasoning, programming, research and professional work. The manufacturer specifically highlights document creation and interaction with computer interfaces. The model is designed for action sequences that require gathering information, carrying out work and incorporating earlier steps' results.
According to OpenAI, Astra retains the overall intent as requirements change: it incorporates additions, adjusts its workflow and answers related questions. When information admits different interpretations, it is useful to specify task boundaries, completion criteria and a rule for asking clarifying questions. Tone and result structure can also be described explicitly: the model tends toward detailed, formatted responses.
#### Reasoning as part of work
The levels `low`, `medium`, `high`, `xhigh` and `max` are supported. Disabling reasoning through `none` is not provided. Effort controls the solution process, while final-text length is specified separately. Complex reasoning can end with a brief answer when that is the required result.
OpenAI provides two execution modes independent of analytical depth: ordinary and extended. Ordinary mode is the default. Extended mode targets difficult tasks where additional time and greater token use are acceptable. Mode determines the execution approach, and effort the reasoning depth within it. Selection is described for `Responses` and requires application support; a published manufacturer capability does not confirm its inclusion in Ailoot's current method.
The GPT-6 family provides for changing reasoning level between conversation continuations while retaining the previous request prefix. Continuing work requires the corresponding state to be supplied. Long-task controls depend on the interaction format and application support for these operations.
#### Text and visual material
The model accepts text and images, returns text, and supports streaming and structured results. OpenAI specifies context of 1,050,000 tokens, maximum input of 922,000 and maximum output of 128,000 tokens. The knowledge snapshot is April 30, 2026.
Images are used to analyze visible content, read text and answer detail questions. Different detail levels are provided for close analysis. Context size and response limits differ: long source material does not automatically become an equally long result.
#### Multiple actions within one task
Official capabilities include function calling, file and web search, code and command execution, file changes, computer actions and search for the required tool. `Responses` is used for tool calls; `Chat Completions` supports text exchange without tools.
With appropriate connections, the manufacturer also provides a separate image-generation tool, work with skills and external tools through MCP. The model's direct response remains text; a separate tool creates the image-generation result. Its availability with the manufacturer does not mean these capabilities are connected in every Ailoot method.
The family documentation describes asynchronous calls: while the application executes one function, the model can continue an independent part of the work. It also provides task refinement during execution and continuation using actions already completed. These scenarios require the application to support the corresponding interaction and return call results.
#### Result form and repeated context
Structured output helps prepare a result under a specified schema, for example data with particular fields and types. A schema organizes the result, while information correctness requires substantive verification. Sustained work provides for retaining available reasoning state and shortening accumulated context.
Caching targets a repeated input prefix. Search, command or computer-action support describes model capabilities when the required tools are connected; functions in a specific request depend on the selected method and available connections.
Practical task
### Prepare a source-backed decision memo
Technical example in English
```
Prepare a source-backed decision memo
Prepare a one-page decision memo from these findings. F1: The legacy system exports CSV but has no audit log. F2: The replacement imports CSV and records changes. F3: A pilot imported 40 of 50 records; 10 failed because owner_id was missing. Recommend the next migration step, define acceptance criteria and preserve what the pilot has actually proved.
```
#### Expected result
```
A memo with recommendation, evidence references, unresolved data issue and acceptance criteria for a later full migration.
```
#### Check the result
```
Check that the 40-record result is not reported as a completed 50-record migration and that missing owner_id remains a blocker.
```
**Ailoot · Anthropic Messages** `POST /v1/messages` `gpt-6-astra`
[`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages)
OpenAI /`gpt-6-astra`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · Anthropic Messages** `POST /v1/messages`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-6-astra | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string\|content_block[]` | RequirementRequired | Values & limits | Default— |
| Field`system` | Type`string\|content_block[]` | RequirementOptional | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits Minimum: 1 Limit applies to: exact selected model/card ceiling | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop_sequences` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].name` | Type`string` | RequirementOptional | Values & limits Applies when: tool supplied | Default— |
| Field`tools[].description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].input_schema` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.budget_tokens` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`output_config.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`metadata` | Type`object` | RequirementOptional | Values & limits | Default— |
| Field`cache_control` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content or type=text block`
**Text + image**
`{type:image,source:{type:base64,media_type,data}} or source type=url`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · Anthropic Messages
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · Anthropic Messages
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-6-astra", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-6-astra", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="gpt-6-astra",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "gpt-6-astra",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='gpt-6-astra',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · Anthropic Messages
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `gpt-6-astra`
[`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses)
OpenAI /`gpt-6-astra`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · OpenAI Responses** `POST /v1/responses`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-6-astra | Default— |
| Field`input` | Type`string\|input_item[]` | RequirementRequired | Values & limits | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`input[].type` | Type`string` | RequirementOptional | Values & limits message, reasoning, function\_call, function\_call\_output | Default— |
| Field`input[].content` | Type`string\|content_part[]` | RequirementOptional | Values & limits | Default— |
| Field`input[].call_id` | Type`string` | RequirementOptional | Values & limits Applies when: function\_call\_output; retain actual returned call\_id | Default— |
| Field`input[].output` | Type`string\|content_part[]` | RequirementOptional | Values & limits Applies when: function\_call\_output | Default— |
| Field`max_output_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.summary` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.verbosity` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`include` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`store` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`previous_response_id` | Type`string` | RequirementOptional | Values & limits ID requirement: Only an actual response ID from a supported continuation Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_key` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`input text or input_text part`
**Text + image**
`{type:input_image,image_url}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, input |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · OpenAI Responses
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · OpenAI Responses
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-6-astra", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-6-astra", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="gpt-6-astra", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "gpt-6-astra", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="gpt-6-astra", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · OpenAI Responses
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every output item and content part, actual function call\_id, encrypted reasoning and usage. In streaming retain complete event/item identity.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`status` | Typestring |
| Field`output[]` | Typemessage\|reasoning\|function\_call\|other item |
| Field`output[].content[]` | Typecontent part |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `gpt-6-astra`
[`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat)
OpenAI /`gpt-6-astra`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-6-astra | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Examples: system, user, assistant, tool, function Conditions: These roles are explicitly represented by Source compatibility types; the exact model role set remains model-specific. Model-specific | Default— |
| Field`messages[].content` | Type`string\|content_part[]\|null` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_calls` | Type`tool_call[]` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_call_id` | Type`string` | RequirementOptional | Values & limits Applies when: role=tool; use actual returned ID | Default— |
| Field`messages[].name` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`messages[].reasoning_content` | Type`string` | RequirementOptional | Values & limits Applies when: Round-trip actual returned reasoning where this model uses it | Default— |
| Field`messages[].reasoning_details` | Type`object\|array` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`stream_options.include_usage` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop` | Type`string\|string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`function_tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].function.name` | Type`string` | RequirementRequired | Values & limits Applies when: function tool supplied | Default— |
| Field`tools[].function.description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].function.parameters` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`response_format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning_effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits Compatibility field | Default— |
| Field`functions` | Type`function[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`function_call` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content`
**Text + image**
`{type:image_url,image_url:{url,detail}}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, messages |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · OpenAI Chat
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · OpenAI Chat
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-6-astra", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-6-astra", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="gpt-6-astra",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "gpt-6-astra",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='gpt-6-astra',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · OpenAI Chat
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat)
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `gpt-6-astra`
[`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat)
OpenAI /`gpt-6-astra`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`
Input types
`text`
Output types
`text`
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-6-astra | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Model-specific | Default— |
| Field`messages[].content` | Type`string` | RequirementOptional | Values & limits Applies when: Text conversation | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
Input material combinations
**Text** · UTF8 text
`messages[].content`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages |
| Parameter`material_types` | Contracttext |
| Parameter`messages` | Contractmessage array with role/content shape |
| Parameter`file_material` | Contractactual UTF-8 document inserted as literal text; no file ID inferred |
| Parameter`optional_controls` | Contractstream |
| Parameter`control_scope` | ContractText conversation; stream is a boolean and defaults to false. |
| Parameter`output_modalities` | Contracttext |
| Parameter`hosted_operations` | Contractfalse |
| Parameter`multimodal_input_binding` | Contractnull |
Method aliases: `/chat/completions`
Lifecycle: `synchronous_or_streamed`
Send exact model ID with messages.
Context length is not an output cap.
A text file may supply literal text; image/audio/file-object inputs need exact binding.
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · OpenAI Chat
curlPython SDK
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model":"gpt-6-astra","messages":[{"role":"user","content":"hello"}],"stream":false}')
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model="gpt-6-astra", messages=[{"role":"user","content":"hello"}], stream=False)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(result.to_dict(mode="json"))
```
### Receive and save results
#### Ailoot Ultra · OpenAI Chat
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat)
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `gpt-6-astra`
[`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages)
OpenAI /`gpt-6-astra`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
json · sse
### Available in Ailoot · inputs & methods
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`
Input types
`text`
Output types
`json`, `sse`
Output format
JSON or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-6-astra | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string` | RequirementRequired | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
Input material combinations
**Text** · UTF-8 text
`messages[].content string`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractstream |
| Parameter`material_types` | Contracttext |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |
Lifecycle: `synchronous_or_streamed`
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · Anthropic Messages
Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result
```json
{
"model": "gpt-6-astra",
"max_tokens": 128,
"messages": [
{
"role": "user",
"content": "Summarize the incident report."
}
],
"stream": false
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'gpt-6-astra', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'gpt-6-astra', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Receive and save results
#### Ailoot Ultra · Anthropic Messages
JSON or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages)
**Ailoot · Anthropic Messages** `POST /v1/messages` `gpt`
[`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages)
OpenAI /`gpt`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · Anthropic Messages** `POST /v1/messages`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string\|content_block[]` | RequirementRequired | Values & limits | Default— |
| Field`system` | Type`string\|content_block[]` | RequirementOptional | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits Minimum: 1 Limit applies to: exact selected model/card ceiling | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop_sequences` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].name` | Type`string` | RequirementOptional | Values & limits Applies when: tool supplied | Default— |
| Field`tools[].description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].input_schema` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.budget_tokens` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`output_config.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`metadata` | Type`object` | RequirementOptional | Values & limits | Default— |
| Field`cache_control` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content or type=text block`
**Text + image**
`{type:image,source:{type:base64,media_type,data}} or source type=url`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · Anthropic Messages
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · Anthropic Messages
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="gpt",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "gpt",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='gpt',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · Anthropic Messages
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `gpt`
[`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses)
OpenAI /`gpt`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · OpenAI Responses** `POST /v1/responses`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt | Default— |
| Field`input` | Type`string\|input_item[]` | RequirementRequired | Values & limits | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`input[].type` | Type`string` | RequirementOptional | Values & limits message, reasoning, function\_call, function\_call\_output | Default— |
| Field`input[].content` | Type`string\|content_part[]` | RequirementOptional | Values & limits | Default— |
| Field`input[].call_id` | Type`string` | RequirementOptional | Values & limits Applies when: function\_call\_output; retain actual returned call\_id | Default— |
| Field`input[].output` | Type`string\|content_part[]` | RequirementOptional | Values & limits Applies when: function\_call\_output | Default— |
| Field`max_output_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.summary` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.verbosity` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`include` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`store` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`previous_response_id` | Type`string` | RequirementOptional | Values & limits ID requirement: Only an actual response ID from a supported continuation Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_key` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`input text or input_text part`
**Text + image**
`{type:input_image,image_url}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, input |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · OpenAI Responses
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · OpenAI Responses
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="gpt", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "gpt", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="gpt", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · OpenAI Responses
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every output item and content part, actual function call\_id, encrypted reasoning and usage. In streaming retain complete event/item identity.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`status` | Typestring |
| Field`output[]` | Typemessage\|reasoning\|function\_call\|other item |
| Field`output[].content[]` | Typecontent part |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `gpt`
[`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat)
OpenAI /`gpt`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Examples: system, user, assistant, tool, function Conditions: These roles are explicitly represented by Source compatibility types; the exact model role set remains model-specific. Model-specific | Default— |
| Field`messages[].content` | Type`string\|content_part[]\|null` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_calls` | Type`tool_call[]` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_call_id` | Type`string` | RequirementOptional | Values & limits Applies when: role=tool; use actual returned ID | Default— |
| Field`messages[].name` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`messages[].reasoning_content` | Type`string` | RequirementOptional | Values & limits Applies when: Round-trip actual returned reasoning where this model uses it | Default— |
| Field`messages[].reasoning_details` | Type`object\|array` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`stream_options.include_usage` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop` | Type`string\|string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`function_tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].function.name` | Type`string` | RequirementRequired | Values & limits Applies when: function tool supplied | Default— |
| Field`tools[].function.description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].function.parameters` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`response_format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning_effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits Compatibility field | Default— |
| Field`functions` | Type`function[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`function_call` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content`
**Text + image**
`{type:image_url,image_url:{url,detail}}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, messages |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · OpenAI Chat
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · OpenAI Chat
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="gpt",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "gpt",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='gpt',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · OpenAI Chat
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `gpt-latest`
[`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages)
OpenAI /`gpt-latest`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · Anthropic Messages** `POST /v1/messages`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-latest | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string\|content_block[]` | RequirementRequired | Values & limits | Default— |
| Field`system` | Type`string\|content_block[]` | RequirementOptional | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits Minimum: 1 Limit applies to: exact selected model/card ceiling | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop_sequences` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].name` | Type`string` | RequirementOptional | Values & limits Applies when: tool supplied | Default— |
| Field`tools[].description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].input_schema` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.budget_tokens` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`output_config.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`metadata` | Type`object` | RequirementOptional | Values & limits | Default— |
| Field`cache_control` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content or type=text block`
**Text + image**
`{type:image,source:{type:base64,media_type,data}} or source type=url`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · Anthropic Messages
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · Anthropic Messages
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-latest", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-latest", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="gpt-latest",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "gpt-latest",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='gpt-latest',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · Anthropic Messages
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `gpt-latest`
[`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses)
OpenAI /`gpt-latest`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · OpenAI Responses** `POST /v1/responses`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-latest | Default— |
| Field`input` | Type`string\|input_item[]` | RequirementRequired | Values & limits | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`input[].type` | Type`string` | RequirementOptional | Values & limits message, reasoning, function\_call, function\_call\_output | Default— |
| Field`input[].content` | Type`string\|content_part[]` | RequirementOptional | Values & limits | Default— |
| Field`input[].call_id` | Type`string` | RequirementOptional | Values & limits Applies when: function\_call\_output; retain actual returned call\_id | Default— |
| Field`input[].output` | Type`string\|content_part[]` | RequirementOptional | Values & limits Applies when: function\_call\_output | Default— |
| Field`max_output_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.summary` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.verbosity` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`include` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`store` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`previous_response_id` | Type`string` | RequirementOptional | Values & limits ID requirement: Only an actual response ID from a supported continuation Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_key` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`input text or input_text part`
**Text + image**
`{type:input_image,image_url}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, input |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · OpenAI Responses
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · OpenAI Responses
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-latest", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-latest", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="gpt-latest", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "gpt-latest", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="gpt-latest", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · OpenAI Responses
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every output item and content part, actual function call\_id, encrypted reasoning and usage. In streaming retain complete event/item identity.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`status` | Typestring |
| Field`output[]` | Typemessage\|reasoning\|function\_call\|other item |
| Field`output[].content[]` | Typecontent part |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `gpt-latest`
[`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat)
OpenAI /`gpt-latest`
Model ID
- `gpt-6-astra`
- `gpt`
- `gpt-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text · Images
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Input types
`text`, `image`
Output types
`text`
Context
1,050,000 tokens
Maximum output
128,000 tokens
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-latest | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Examples: system, user, assistant, tool, function Conditions: These roles are explicitly represented by Source compatibility types; the exact model role set remains model-specific. Model-specific | Default— |
| Field`messages[].content` | Type`string\|content_part[]\|null` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_calls` | Type`tool_call[]` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_call_id` | Type`string` | RequirementOptional | Values & limits Applies when: role=tool; use actual returned ID | Default— |
| Field`messages[].name` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`messages[].reasoning_content` | Type`string` | RequirementOptional | Values & limits Applies when: Round-trip actual returned reasoning where this model uses it | Default— |
| Field`messages[].reasoning_details` | Type`object\|array` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`stream_options.include_usage` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop` | Type`string\|string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`function_tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].function.name` | Type`string` | RequirementRequired | Values & limits Applies when: function tool supplied | Default— |
| Field`tools[].function.description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].function.parameters` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`response_format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning_effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits Compatibility field | Default— |
| Field`functions` | Type`function[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`function_call` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content`
**Text + image**
`{type:image_url,image_url:{url,detail}}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, messages |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |
Lifecycle: `exact retained published method`
Method shapes and IDs are exact; supplier capability is separate from admission.
### Pricing
#### Ailoot method rates
Input
$0.01 */ 1K*
Output
$0.05 */ 1K*
Cache read
$0.001 */ 1K*
Cache write
$0.0125 */ 1K*
Cache write, 5 min
$0.0125 */ 1K tokens*
fast multiplier
×2
flex multiplier
×0.5
#### Prices by request length · OpenAI Chat
| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 272,000\] | Input$0.01 | Output$0.05 | Cache read$0.001 | Cache write$0.0125 | 5 min cache$0.0125 | 1 hour cacheBase: — |
| Request size, tokens(272,000; ∞) | Input$0.02 | Output$0.075 | Cache read$0.002 | Cache write$0.025 | 5 min cache$0.025 | 1 hour cacheBase: — |
Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
#### Reference tariff details
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Model reference schedules
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Responses · Request-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
### Example requests
#### Ailoot · OpenAI Chat
Text exampleImage inputPython SDKNode.js SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-latest", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-latest", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="gpt-latest",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "gpt-latest",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='gpt-latest',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot · OpenAI Chat
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat)
**Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `gpt-6-astra`
[`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses)
OpenAI /`gpt-6-astra`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot Ultra · OpenAI Responses** `POST /v1/responses`
Input types
`text`
Output types
`text`
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gpt-6-astra | Default— |
| Field`input` | Type`string\|input_item[]` | RequirementRequired | Values & limits | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`input[].type` | Type`string` | RequirementOptional | Values & limits message, reasoning, function\_call, function\_call\_output | Default— |
| Field`input[].content` | Type`string\|content_part[]` | RequirementOptional | Values & limits | Default— |
| Field`input[].call_id` | Type`string` | RequirementOptional | Values & limits Applies when: function\_call\_output; retain actual returned call\_id | Default— |
| Field`input[].output` | Type`string\|content_part[]` | RequirementOptional | Values & limits Applies when: function\_call\_output | Default— |
| Field`max_output_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.summary` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.verbosity` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`include` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`store` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`previous_response_id` | Type`string` | RequirementNot supported | Values & limits ID requirement: Only an actual response ID from a supported continuation Conditions: Replay the actual conversation history with each request. | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_key` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`input text or input_text part`
**Text + image**
`{type:input_image,image_url}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext |
| Parameter`required` | Contractmodel, input |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |
Lifecycle: `exact retained published method`
Send the exact model ID and required fields.
Keep every returned item and its original identifiers.
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · OpenAI Responses
Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result
```json
{
"model": "gpt-6-astra",
"input": [
{
"content": "Hello, how are you?",
"role": "user",
"type": "message"
}
]
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'gpt-6-astra', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]}
payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'gpt-6-astra', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]}
payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'Authorization': 'Bearer PLACEHOLDER_KEY', 'Content-Type': 'application/json'}
headers['Authorization'] = 'Bearer ' + api_key
request = Request('https://api.ailoot.ai/v1/responses', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Receive and save results
#### Ailoot Ultra · OpenAI Responses
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every output item and content part, actual function call\_id, encrypted reasoning and usage. In streaming retain complete event/item identity.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`status` | Typestring |
| Field`output[]` | Typemessage\|reasoning\|function\_call\|other item |
| Field`output[].content[]` | Typecontent part |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses)
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `openai/gpt-6-astra`
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat)
OpenAI /`openai/gpt-6-astra`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`
Input types
`text`
Output types
`text`
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits openai/gpt-6-astra | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Examples: system, user, assistant, tool, function Conditions: These roles are explicitly represented by Source compatibility types; the exact model role set remains model-specific. Model-specific | Default— |
| Field`messages[].content` | Type`string\|content_part[]\|null` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_calls` | Type`tool_call[]` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_call_id` | Type`string` | RequirementOptional | Values & limits Applies when: role=tool; use actual returned ID | Default— |
| Field`messages[].name` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`messages[].reasoning_content` | Type`string` | RequirementOptional | Values & limits Applies when: Round-trip actual returned reasoning where this model uses it | Default— |
| Field`messages[].reasoning_details` | Type`object\|array` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`stream_options.include_usage` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop` | Type`string\|string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`function_tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].type` | Type`string` | RequirementOptional | Values & limits function Model-specific | Default— |
| Field`tools[].function.name` | Type`string` | RequirementRequired | Values & limits Applies when: function tool supplied | Default— |
| Field`tools[].function.description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].function.parameters` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`response_format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning_effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits Compatibility field | Default— |
| Field`functions` | Type`function[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`function_call` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`modalities` | Type`string[]` | RequirementOptional | Values & limits text | Default— |
| Field`provider` | Type`object` | RequirementOptional | Values & limits Conditions: provider.options is rejected on this Ultra text route | Default— |
| Field`cache_control.ttl` | Type`string` | RequirementOptional | Values & limits Conditions: 1h is rejected in actual prompt-cache locations | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages |
| Parameter`material_types` | Contracttext |
| Parameter`messages` | Contractmessage array with role/content shape |
| Parameter`file_material` | Contractactual UTF-8 document inserted as literal text; no file ID inferred |
| Parameter`optional_controls` | Contractstream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parameter`control_scope` | Contractmodel-specific; user function tools differ from hosted tools |
| Parameter`output_modalities` | Contracttext |
| Parameter`hosted_operations` | Contractfalse |
| Parameter`multimodal_input_binding` | Contractnull |
Lifecycle: `synchronous_or_streamed`
Send exact model ID with messages.
Context length is not an output cap.
A text file may supply literal text; image/audio/file-object inputs need exact binding.
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · OpenAI Chat
curlPython SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "openai/gpt-6-astra", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='openai/gpt-6-astra',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(result.to_dict(mode="json"))
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='openai/gpt-6-astra',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot Ultra · OpenAI Chat
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat)
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `openai/gpt-6-astra`
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages)
OpenAI /`openai/gpt-6-astra`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`
Input types
`text`
Output types
`text`
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits openai/gpt-6-astra | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string\|content_block[]` | RequirementRequired | Values & limits | Default— |
| Field`system` | Type`string\|content_block[]` | RequirementOptional | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits Minimum: 1 Limit applies to: exact selected model/card ceiling | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop_sequences` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].name` | Type`string` | RequirementOptional | Values & limits Applies when: tool supplied | Default— |
| Field`tools[].description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].input_schema` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.budget_tokens` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`output_config.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`metadata` | Type`object` | RequirementOptional | Values & limits | Default— |
| Field`cache_control` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content or type=text block`
**Text + image**
`{type:image,source:{type:base64,media_type,data}} or source type=url`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |
Lifecycle: `exact retained published method`
Send the exact model ID and required fields.
Keep every returned item and its original identifiers.
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · Anthropic Messages
Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result
```json
{
"model": "openai/gpt-6-astra",
"max_tokens": 4096,
"messages": [
{
"role": "user",
"content": "Summarize the incident report."
}
]
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'openai/gpt-6-astra', 'max_tokens': 4096, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'openai/gpt-6-astra', 'max_tokens': 4096, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Receive and save results
#### Ailoot Ultra · Anthropic Messages
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages)
**Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `openai/gpt-6-astra`
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses)
OpenAI /`openai/gpt-6-astra`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot Ultra · OpenAI Responses** `POST /v1/responses`
Input types
`text`
Output types
`text`
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits openai/gpt-6-astra | Default— |
| Field`input` | Type`string\|input_item[]` | RequirementRequired | Values & limits | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`input[].type` | Type`string` | RequirementOptional | Values & limits message, reasoning, function\_call, function\_call\_output | Default— |
| Field`input[].content` | Type`string\|content_part[]` | RequirementOptional | Values & limits | Default— |
| Field`input[].call_id` | Type`string` | RequirementOptional | Values & limits Applies when: function\_call\_output; retain actual returned call\_id | Default— |
| Field`input[].output` | Type`string\|content_part[]` | RequirementOptional | Values & limits Applies when: function\_call\_output | Default— |
| Field`max_output_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.summary` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.verbosity` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`include` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`store` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`previous_response_id` | Type`string` | RequirementNot supported | Values & limits ID requirement: Only an actual response ID from a supported continuation Conditions: Replay the actual conversation history with each request. | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_key` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`input text or input_text part`
**Text + image**
`{type:input_image,image_url}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext |
| Parameter`required` | Contractmodel, input |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |
Lifecycle: `exact retained published method`
Send the exact model ID and required fields.
Keep every returned item and its original identifiers.
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · OpenAI Responses
Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result
```json
{
"model": "openai/gpt-6-astra",
"input": [
{
"content": "Hello, how are you?",
"role": "user",
"type": "message"
}
]
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'openai/gpt-6-astra', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]}
payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'openai/gpt-6-astra', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]}
payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'Authorization': 'Bearer PLACEHOLDER_KEY', 'Content-Type': 'application/json'}
headers['Authorization'] = 'Bearer ' + api_key
request = Request('https://api.ailoot.ai/v1/responses', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Receive and save results
#### Ailoot Ultra · OpenAI Responses
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every output item and content part, actual function call\_id, encrypted reasoning and usage. In streaming retain complete event/item identity.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`status` | Typestring |
| Field`output[]` | Typemessage\|reasoning\|function\_call\|other item |
| Field`output[].content[]` | Typecontent part |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses)
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `~openai/gpt-astra-latest`
[`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat)
OpenAI /`~openai/gpt-astra-latest`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`
Input types
`text`
Output types
`text`
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits ~openai/gpt-astra-latest | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Examples: system, user, assistant, tool, function Conditions: These roles are explicitly represented by Source compatibility types; the exact model role set remains model-specific. Model-specific | Default— |
| Field`messages[].content` | Type`string\|content_part[]\|null` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_calls` | Type`tool_call[]` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_call_id` | Type`string` | RequirementOptional | Values & limits Applies when: role=tool; use actual returned ID | Default— |
| Field`messages[].name` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`messages[].reasoning_content` | Type`string` | RequirementOptional | Values & limits Applies when: Round-trip actual returned reasoning where this model uses it | Default— |
| Field`messages[].reasoning_details` | Type`object\|array` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`stream_options.include_usage` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop` | Type`string\|string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`function_tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].type` | Type`string` | RequirementOptional | Values & limits function Model-specific | Default— |
| Field`tools[].function.name` | Type`string` | RequirementRequired | Values & limits Applies when: function tool supplied | Default— |
| Field`tools[].function.description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].function.parameters` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`response_format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning_effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits Compatibility field | Default— |
| Field`functions` | Type`function[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`function_call` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`modalities` | Type`string[]` | RequirementOptional | Values & limits text | Default— |
| Field`provider` | Type`object` | RequirementOptional | Values & limits Conditions: provider.options is rejected on this Ultra text route | Default— |
| Field`cache_control.ttl` | Type`string` | RequirementOptional | Values & limits Conditions: 1h is rejected in actual prompt-cache locations | Default— |
Input material combinations
**Text** · UTF8 text
`messages[].content`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages |
| Parameter`material_types` | Contracttext |
| Parameter`messages` | Contractmessage array with role/content shape |
| Parameter`file_material` | Contractactual UTF-8 document inserted as literal text; no file ID inferred |
| Parameter`optional_controls` | Contractstream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parameter`control_scope` | Contractmodel-specific; user function tools differ from hosted tools |
| Parameter`output_modalities` | Contracttext |
| Parameter`hosted_operations` | Contractfalse |
| Parameter`multimodal_input_binding` | Contractnull |
Lifecycle: `synchronous_or_streamed`
Send exact model ID with messages.
Context length is not an output cap.
A text file may supply literal text; image/audio/file-object inputs need exact binding.
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · OpenAI Chat
curlPython SDKPython stream
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "~openai/gpt-astra-latest", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='~openai/gpt-astra-latest',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(result.to_dict(mode="json"))
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='~openai/gpt-astra-latest',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Receive and save results
#### Ailoot Ultra · OpenAI Chat
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=chat), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=chat), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=chat), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=chat), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=chat)
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `~openai/gpt-astra-latest`
[`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages)
OpenAI /`~openai/gpt-astra-latest`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
json · sse
### Available in Ailoot · inputs & methods
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`
Input types
`text`
Output types
`json`, `sse`
Output format
JSON or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits ~openai/gpt-astra-latest | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string` | RequirementRequired | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
Input material combinations
**Text** · UTF-8 text
`messages[].content string`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractstream |
| Parameter`material_types` | Contracttext |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |
Lifecycle: `synchronous_or_streamed`
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · Anthropic Messages
Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result
```json
{
"model": "~openai/gpt-astra-latest",
"max_tokens": 128,
"messages": [
{
"role": "user",
"content": "Summarize the incident report."
}
],
"stream": false
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': '~openai/gpt-astra-latest', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': '~openai/gpt-astra-latest', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Receive and save results
#### Ailoot Ultra · Anthropic Messages
JSON or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=messages), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=messages), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=messages), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=messages), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=messages)
**Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `~openai/gpt-astra-latest`
[`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses)
OpenAI /`~openai/gpt-astra-latest`
Model ID
- `gpt-6-astra`
- `openai/gpt-6-astra`
- `~openai/gpt-astra-latest`
### Overview
GPT-6 Astra is designed for complex reasoning, coding, research and document preparation. Works with text, images and tools in multi-step tasks.
Accepted inputs
Text
Results
Text
### Available in Ailoot · inputs & methods
**Ailoot Ultra · OpenAI Responses** `POST /v1/responses`
Input types
`text`
Output types
`text`
Output format
json or SSE
| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits ~openai/gpt-astra-latest | Default— |
| Field`input` | Type`string\|input_item[]` | RequirementRequired | Values & limits | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`input[].type` | Type`string` | RequirementOptional | Values & limits message, reasoning, function\_call, function\_call\_output | Default— |
| Field`input[].content` | Type`string\|content_part[]` | RequirementOptional | Values & limits | Default— |
| Field`input[].call_id` | Type`string` | RequirementOptional | Values & limits Applies when: function\_call\_output; retain actual returned call\_id | Default— |
| Field`input[].output` | Type`string\|content_part[]` | RequirementOptional | Values & limits Applies when: function\_call\_output | Default— |
| Field`max_output_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning.summary` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`text.verbosity` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`include` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`store` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`previous_response_id` | Type`string` | RequirementNot supported | Values & limits ID requirement: Only an actual response ID from a supported continuation Conditions: Replay the actual conversation history with each request. | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_key` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
Input material combinations
**Text** · UTF8 text
`input text or input_text part`
**Text + image**
`{type:input_image,image_url}`
Method parameters and lifecycle
| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext |
| Parameter`required` | Contractmodel, input |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |
Lifecycle: `exact retained published method`
Send the exact model ID and required fields.
Keep every returned item and its original identifiers.
### Pricing
Tariff references do not add request options. Supported parameters are listed for the selected method.
Fast mode
Standard rate When fast mode is selected
Flex mode
Standard rate When flex mode is selected
Maximum reasoning effort
Standard rate When maximum reasoning effort uses the default adjustment
Reasoning effort · high
Standard rate When reasoning effort is high
Reasoning effort · low
Standard rate When reasoning effort is low
Reasoning effort · max
Standard rate When reasoning effort is max
Reasoning effort · medium
Standard rate When reasoning effort is medium
Reasoning effort · xhigh
Standard rate When reasoning effort is xhigh
#### Ailoot rates
#### Prices by configuration
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)
### Example requests
#### Ailoot Ultra · OpenAI Responses
Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result
```json
{
"model": "~openai/gpt-astra-latest",
"input": [
{
"content": "Hello, how are you?",
"role": "user",
"type": "message"
}
]
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': '~openai/gpt-astra-latest', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]}
payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': '~openai/gpt-astra-latest', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]}
payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'Authorization': 'Bearer PLACEHOLDER_KEY', 'Content-Type': 'application/json'}
headers['Authorization'] = 'Bearer ' + api_key
request = Request('https://api.ailoot.ai/v1/responses', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Receive and save results
#### Ailoot Ultra · OpenAI Responses
json or SSE
##### Keep all completed results
Keep every complete returned response, file and content part.
Keep every output item and content part, actual function call\_id, encrypted reasoning and usage. In streaming retain complete event/item identity.
##### If the original response needs checking
Keep request/response IDs and headers. No generic text job retrieval URL is supplied.
Response fields
| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`status` | Typestring |
| Field`output[]` | Typemessage\|reasoning\|function\_call\|other item |
| Field`output[].content[]` | Typecontent part |
| Field`usage` | Typeobject |
Errors and next steps
| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
### Aliases
#### Model aliases
Ailoot [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses)
**Ailoot Ultra** [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses), [`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses)
#### Method path aliases
`/chat/completions`
#### Related caller IDs
[`openai/gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=openai%2Fgpt-6-astra&fmt=responses), [`gpt`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt&fmt=responses), [`gpt-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-latest&fmt=responses), [`~openai/gpt-astra-latest`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=~openai%2Fgpt-astra-latest&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Core&caller=gpt-6-astra&fmt=responses), [`gpt-6-astra`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra&route=Ultra&caller=gpt-6-astra&fmt=responses)
FAQ · OpenAI: GPT-6 Astra
What inputs and results are available?
`POST /v1/messages` · `gpt-6-astra`: `text`, `image` → `text` `POST /v1/responses` · `gpt-6-astra`: `text`, `image` → `text` `POST /v1/chat/completions` · `gpt-6-astra`: `text`, `image` → `text` `POST /v1/chat/completions` · `gpt-6-astra`: `text` → `text` `POST /v1/messages` · `gpt-6-astra`: `text` → `json`, `sse` `POST /v1/messages` · `gpt`: `text`, `image` → `text` `POST /v1/responses` · `gpt`: `text`, `image` → `text` `POST /v1/chat/completions` · `gpt`: `text`, `image` → `text` `POST /v1/messages` · `gpt-latest`: `text`, `image` → `text` `POST /v1/responses` · `gpt-latest`: `text`, `image` → `text` `POST /v1/chat/completions` · `gpt-latest`: `text`, `image` → `text` `POST /v1/responses` · `gpt-6-astra`: `text` → `text` `POST /v1/chat/completions` · `openai/gpt-6-astra`: `text` → `text` `POST /v1/messages` · `openai/gpt-6-astra`: `text` → `text` `POST /v1/responses` · `openai/gpt-6-astra`: `text` → `text` `POST /v1/chat/completions` · `~openai/gpt-astra-latest`: `text` → `text` `POST /v1/messages` · `~openai/gpt-astra-latest`: `text` → `json`, `sse` `POST /v1/responses` · `~openai/gpt-astra-latest`: `text` → `text`
Which fields does the request use?
`POST /v1/messages` · `gpt-6-astra`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `gpt-6-astra`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `gpt-6-astra`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `gpt-6-astra`: `model`, `messages`, `stream` `POST /v1/messages` · `gpt-6-astra`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/messages` · `gpt`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `gpt`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `gpt`: `model`, `messages`, `stream` `POST /v1/messages` · `gpt-latest`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `gpt-latest`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `gpt-latest`: `model`, `messages`, `stream` `POST /v1/responses` · `gpt-6-astra`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `openai/gpt-6-astra`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `openai/gpt-6-astra`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `openai/gpt-6-astra`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `~openai/gpt-astra-latest`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `~openai/gpt-astra-latest`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/responses` · `~openai/gpt-astra-latest`: `model`, `input`, `instructions`, `stream`
What limits apply?
`POST /v1/messages` · `gpt-6-astra`: `ctx`: `1050000`; `max_out`: `128000`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `gpt-6-astra`: `ctx`: `1050000`; `max_out`: `128000` `POST /v1/chat/completions` · `gpt-6-astra`: `ctx`: `1050000`; `max_out`: `128000`; `messages.min_items`: `1` `POST /v1/chat/completions` · `gpt-6-astra`: `messages.min_items`: `1` `POST /v1/messages` · `gpt`: `ctx`: `1050000`; `max_out`: `128000`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `gpt`: `ctx`: `1050000`; `max_out`: `128000` `POST /v1/chat/completions` · `gpt`: `ctx`: `1050000`; `max_out`: `128000`; `messages.min_items`: `1` `POST /v1/messages` · `gpt-latest`: `ctx`: `1050000`; `max_out`: `128000`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `gpt-latest`: `ctx`: `1050000`; `max_out`: `128000` `POST /v1/chat/completions` · `gpt-latest`: `ctx`: `1050000`; `max_out`: `128000`; `messages.min_items`: `1` `POST /v1/chat/completions` · `openai/gpt-6-astra`: `messages.min_items`: `1` `POST /v1/messages` · `openai/gpt-6-astra`: `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/chat/completions` · `~openai/gpt-astra-latest`: `messages.min_items`: `1`
Connect Ailoot to Claude Code, OpenCode, Hermes or your own app.
## The company and its project portfolio
The company and its project portfolio: millions of customers; monthly sales in the billions.
## Buy tokens at a discount.
Subscription discounts for regular use. Promo codes offer up to 50% off token purchases.
Subscription
Choose a discounted plan for your regular requests.
Promo code: up to 50% off
Enter your code at checkout. The price updates to reflect the current promotion.
Spending in your history
The model, tokens and amount are recorded for each request.
[Choose a subscription](https://ailoot.ai/docs/en/billing/subscriptions/) · [View model prices](https://ailoot.ai/models/en/)
## Connect the API to a product you sell.
Use Ailoot in SaaS, apps and bots under its official service offer and licence agreement. Request a reseller licence for resale.
Commercial application
Add text, image, video and audio generation to paid features in your service.
Reseller licence
Send a description of your project and how you provide access. Request written terms for use and resale.
Documents on the website
The service offer, licence agreement and data processing policy are available before you connect.
[Request a reseller licence](mailto:support@ailoot.ai) · [Service offer and licence agreement](https://ailoot.ai/legal/offer?lang=en)
## Ailoot · The company and its project portfolio
Ailoot combines established operating experience, a large client base, stable service and ongoing KPI control.
The company and its project portfolio: millions of customers; monthly sales in the billions.
Ailoot brings that operating experience to API access for AI features in customer products, agents, applications and automations.