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feat: add support for Vertex AI claude-3-5-sonnet@20240620 (#5475)
Co-authored-by: Wenming Pan <pwm@google.com>
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model: claude-3-5-sonnet@20240620
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label:
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en_US: Claude 3.5 Sonnet
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model_type: llm
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features:
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- agent-thought
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- vision
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model_properties:
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mode: chat
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context_size: 200000
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parameter_rules:
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- name: max_tokens
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use_template: max_tokens
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required: true
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type: int
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default: 4096
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min: 1
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max: 4096
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help:
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zh_Hans: 停止前生成的最大令牌数。请注意,Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
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en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
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- name: temperature
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use_template: temperature
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required: false
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type: float
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default: 1
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min: 0.0
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max: 1.0
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help:
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zh_Hans: 生成内容的随机性。
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en_US: The amount of randomness injected into the response.
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- name: top_p
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required: false
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type: float
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default: 0.999
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min: 0.000
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max: 1.000
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help:
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zh_Hans: 在核采样中,Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布,并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p,但不能同时更改两者。
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en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
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- name: top_k
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required: false
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type: int
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default: 0
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min: 0
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# tip docs from aws has error, max value is 500
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max: 500
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help:
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zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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pricing:
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input: '0.003'
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output: '0.015'
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unit: '0.001'
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currency: USD
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@ -100,7 +100,7 @@ class VertexAiLargeLanguageModel(LargeLanguageModel):
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token = credentials.token
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# Vertex AI Anthropic Claude3 Opus model available in us-east5 region, Sonnet and Haiku available in us-central1 region
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if 'opus' in model:
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if 'opus' or 'claude-3-5-sonnet' in model:
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location = 'us-east5'
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else:
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location = 'us-central1'
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