Weaver (alpha)
MancerReleased Aug 2, 2023
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
- Context window
- 8K tokens
- Max output
- 2K tokens
- Input
- text
- Output
- text
- Tokenizer
- Llama2
- Knowledge cutoff
- Jun 30, 2023
- Released
- Aug 2, 2023
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.750 | $0.022 | $0.772 |
| Output | $1.00 | $0.030 | $1.03 |
Supported parameters
- frequency_penalty
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- top_a
- top_k
- top_logprobs
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model mancer/weaver.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mancer/weaver",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="mancer/weaver",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "mancer/weaver",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does Weaver (alpha) cost via API?
- Through OpenKey, Weaver (alpha) costs $0.772 per 1M input tokens and $1.03 per 1M output tokens. That is the provider price ($0.750 / $1.00) plus a flat 3% fee — nothing else.
- What is Weaver (alpha)'s context window?
- Weaver (alpha) accepts up to 8K tokens of context and returns up to 2K tokens per request.
- Is Weaver (alpha) OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "mancer/weaver" using any OpenAI SDK — only the base URL and API key change.
- What inputs does Weaver (alpha) support?
- Weaver (alpha) accepts text input and produces text output. Its knowledge cutoff is Jun 30, 2023.