ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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# Full book matrix. Prices are dated provider list prices in the native
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# published currency. Never add an FX conversion without its own dated source.
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#
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# Backend substitutions recorded 2026-07-31 (acceptance is tied to equivalent
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# providers/models, not to one vendor's official API; every substitution is
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# documented here and in README.md):
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# - SiliconFlow is unfunded (HTTP 402 balance=0, key itself valid), so the
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# BGE-M3 embedding and the BGE cross-encoder reranker cannot run there.
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# BGE-M3 now runs as the identical model `baai/bge-m3` via OpenRouter.
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# No reachable cross-encoder reranker remains (DashScope gte-rerank returns
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# 403 AccessDenied on this account, and the mainland endpoint rejects the
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# international key), so the cross-encoder matrix slot is honestly replaced
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# by a second LLM reranker, `doubao-semantic`, keeping three distinct
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# reranking strategies (none / Kimi-LLM / Doubao-LLM).
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# - The direct OpenAI account has zero credits (HTTP 429), so the OpenAI
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# embedding runs as the identical model `openai/text-embedding-3-small`
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# via OpenRouter.
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# - Doubao embeddings on Ark require a console-provisioned endpoint id; every
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# public model name returns 404 InvalidEndpointOrModel on this account.
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# The slot is honestly replaced by `qwen/qwen3-embedding-8b` via OpenRouter
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# (Alibaba Qwen3-Embedding-8B, the closest Chinese-provider multilingual
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# embedding substitute).
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chat_models:
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kimi:
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model: kimi-k2.5
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base_url: https://api.moonshot.cn/v1
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api_key_env: KIMI_API_KEY
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disable_thinking: true
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temperature: 0.6
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pricing:
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currency: CNY
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as_of_date: "2026-07-29"
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source_url: https://platform.kimi.com/docs/pricing/chat-k25
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input_per_million: 4.00
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cached_input_per_million: 0.70
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output_per_million: 21.00
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source_note: Published Kimi K2.5 list price; input rate is cache-miss/uncached.
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doubao:
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model: doubao-seed-1-6-250615
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base_url: https://ark.cn-beijing.volces.com/api/v3
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api_key_env: ARK_API_KEY
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pricing:
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currency: CNY
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as_of_date: "2026-07-31"
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source_url: https://www.volcengine.com/docs/82379/1544106
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input_per_million: 0.80
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output_per_million: 8.00
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source_note: Published Doubao-Seed-1.6 list price for the 0-32K input-length
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range (input 0.8 CNY/M, output 8 CNY/M). All matrix prompts are below 32K.
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openai-mini:
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model: gpt-4.1-mini
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base_url: https://api.openai.com/v1
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api_key_env: OPENAI_API_KEY
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embeddings:
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bge-m3:
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# Same BAAI/bge-m3 model as the book matrix; provider substituted
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# SiliconFlow -> OpenRouter on 2026-07-31 (SiliconFlow balance is 0).
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model: baai/bge-m3
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base_url: https://openrouter.ai/api/v1
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api_key_env: OPENROUTER_API_KEY
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pricing:
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currency: USD
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as_of_date: "2026-07-31"
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source_url: https://openrouter.ai/baai/bge-m3
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input_per_million: 0.01
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source_note: OpenRouter catalog price for baai/bge-m3; matches the per-token
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cost returned by the /api/v1/embeddings/models listing and live usage.
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openai-small:
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# Same text-embedding-3-small model as the book matrix; provider substituted
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# direct OpenAI -> OpenRouter on 2026-07-31 (OpenAI account has no credits).
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model: openai/text-embedding-3-small
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base_url: https://openrouter.ai/api/v1
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api_key_env: OPENROUTER_API_KEY
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pricing:
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currency: USD
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as_of_date: "2026-07-31"
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source_url: https://openrouter.ai/openai/text-embedding-3-small
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input_per_million: 0.02
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source_note: OpenRouter catalog price, identical to the published
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text-embedding-3-small list price.
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qwen3:
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# Substitution for the unavailable Doubao embedding slot (Ark embeddings
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# need a provisioned endpoint id; all public model names 404 on this
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# account). Qwen3-Embedding-8B is the closest Chinese-provider multilingual
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# embedding reachable via OpenRouter.
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model: qwen/qwen3-embedding-8b
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base_url: https://openrouter.ai/api/v1
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api_key_env: OPENROUTER_API_KEY
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pricing:
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currency: USD
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as_of_date: "2026-07-31"
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source_url: https://openrouter.ai/qwen/qwen3-embedding-8b
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input_per_million: 0.01
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source_note: OpenRouter catalog price for qwen/qwen3-embedding-8b.
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mistral:
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model: mistral-embed
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base_url: https://api.mistral.ai/v1
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api_key_env: MISTRAL_API_KEY
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pricing:
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currency: USD
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as_of_date: "2026-07-29"
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source_url: https://mistral.ai/pricing/api/
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input_per_million: 0.10
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source_note: Published Mistral Embed list price.
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rerankers:
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none:
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type: none
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doubao-semantic:
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# Substitution for the unavailable BGE cross-encoder slot (SiliconFlow
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# balance 0; DashScope gte-rerank 403 AccessDenied on this account).
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# A second LLM reranker on a different model keeps three distinct
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# reranking strategies without pretending a cross-encoder ran.
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type: llm
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chat_model: doubao
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kimi-semantic:
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type: llm
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chat_model: kimi
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judge:
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evaluator: kimi
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model: kimi-k2.5
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experiment_7_4:
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main_model: kimi
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embedding: mistral
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reranker: kimi-semantic
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rounds_per_chunk: 6
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overlap: 2
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experiment_7_11:
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# The named adapters cover the BGE-M3/OpenAI/Mistral comparison from the
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# book plus the documented Qwen3 substitution for the unreachable Doubao
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# embedding endpoint; rerankers compare none / Doubao-LLM / Kimi-LLM after
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# the documented cross-encoder substitution.
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embeddings: [bge-m3, openai-small, qwen3, mistral]
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rerankers: [none, doubao-semantic, kimi-semantic]
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main_models: [kimi, doubao]
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retrieval_judge_model: kimi
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max_search_rounds: 3
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rounds_per_chunk: 6
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overlap: 2
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