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3 changes: 3 additions & 0 deletions providers/lanseq/logo.svg
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26 changes: 26 additions & 0 deletions providers/lanseq/models/qwen3.8-27b-int4.toml
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# First-party Lanseq deployment documentation:
# https://api.lanseq.cloud/docs
# Pricing: input = $0.25/M tokens, cache_read = $0.045/M tokens, output = $1.99/M tokens.
# Limits: context = 70,000 tokens, max output = 8,192 tokens.
# Reasoning wire control: reasoning_effort = none | low | medium | xhigh.

base_model = "alibaba/qwen3.8-27b"
name = "Qwen3.8-27B INT4"
description = "Text-only INT4 deployment of Qwen3.8-27B served by Lanseq."
attachment = false

reasoning_options = [
{ type = "effort", values = ["none", "low", "medium", "xhigh"] },
]

[cost]
input = 0.25
output = 1.99
cache_read = 0.045

[limit]
context = 70_000
output = 8_192

[modalities]
input = ["text"]
5 changes: 5 additions & 0 deletions providers/lanseq/provider.toml
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name = "Lanseq"
npm = "@ai-sdk/openai-compatible"
env = ["LANSEQ_API_KEY"]
api = "https://api.lanseq.cloud/v1"
doc = "https://api.lanseq.cloud/docs"
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