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ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
2026-08-20 13:12:50 +00:00

65 lines
1.6 KiB
YAML

# Known-working validation subset on the companion development account.
# This never substitutes for default_config.yaml's full BGE/OpenAI/Doubao sweep.
chat_models:
kimi:
model: kimi-k2.5
base_url: https://api.moonshot.cn/v1
api_key_env: KIMI_API_KEY
disable_thinking: true
temperature: 0.6
pricing:
currency: CNY
as_of_date: "2026-07-29"
source_url: https://platform.kimi.com/docs/pricing/chat-k25
input_per_million: 4.00
cached_input_per_million: 0.70
output_per_million: 21.00
source_note: Published Kimi K2.5 list price; input rate is cache-miss/uncached.
doubao:
model: doubao-seed-1-6-250615
base_url: https://ark.cn-beijing.volces.com/api/v3
api_key_env: ARK_API_KEY
embeddings:
mistral:
model: mistral-embed
base_url: https://api.mistral.ai/v1
api_key_env: MISTRAL_API_KEY
pricing:
currency: USD
as_of_date: "2026-07-29"
source_url: https://mistral.ai/pricing/api/
input_per_million: 0.10
source_note: Published Mistral Embed list price.
codestral:
model: codestral-embed
base_url: https://api.mistral.ai/v1
api_key_env: MISTRAL_API_KEY
rerankers:
none:
type: none
kimi-semantic:
type: llm
chat_model: kimi
judge:
evaluator: kimi
model: kimi-k2.5
experiment_7_4:
main_model: kimi
embedding: mistral
reranker: kimi-semantic
rounds_per_chunk: 6
overlap: 2
experiment_7_11:
embeddings: [mistral, codestral]
rerankers: [none, kimi-semantic]
main_models: [kimi, doubao]
retrieval_judge_model: kimi
max_search_rounds: 3
rounds_per_chunk: 6
overlap: 2