Class: DSPy::LM::AnthropicAdapter
- Defined in:
- lib/dspy/lm/adapters/anthropic_adapter.rb
Instance Attribute Summary
Attributes inherited from Adapter
Instance Method Summary collapse
- #chat(messages:, signature: nil, **extra_params, &block) ⇒ Object
-
#initialize(model:, api_key:) ⇒ AnthropicAdapter
constructor
A new instance of AnthropicAdapter.
Constructor Details
#initialize(model:, api_key:) ⇒ AnthropicAdapter
Returns a new instance of AnthropicAdapter.
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# File 'lib/dspy/lm/adapters/anthropic_adapter.rb', line 9 def initialize(model:, api_key:) super validate_api_key!(api_key, 'anthropic') @client = Anthropic::Client.new(api_key: api_key) end |
Instance Method Details
#chat(messages:, signature: nil, **extra_params, &block) ⇒ Object
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# File 'lib/dspy/lm/adapters/anthropic_adapter.rb', line 15 def chat(messages:, signature: nil, **extra_params, &block) = () # Validate vision support if images are present if contains_images?() VisionModels.validate_vision_support!('anthropic', model) # Convert messages to Anthropic format with proper image handling = () end # Anthropic requires system message to be separate from messages , = () # Check if this is a tool use request has_tools = extra_params.key?(:tools) && !extra_params[:tools].empty? # Apply JSON prefilling if needed for better Claude JSON compliance (but not for tool use) unless has_tools || contains_images?() = (, ) end request_params = { model: model, messages: , max_tokens: 4096, # Required for Anthropic temperature: 0.0 # DSPy default for deterministic responses }.merge(extra_params) # Add system message if present request_params[:system] = if # Add streaming if block provided if block_given? request_params[:stream] = true end begin if block_given? content = "" @client..stream(**request_params) do |chunk| if chunk.respond_to?(:delta) && chunk.delta.respond_to?(:text) chunk_text = chunk.delta.text content += chunk_text block.call(chunk) end end # Create typed metadata for streaming response = ResponseMetadataFactory.create('anthropic', { model: model, streaming: true }) Response.new( content: content, usage: nil, # Usage not available in streaming metadata: ) else response = @client..create(**request_params) if response.respond_to?(:error) && response.error raise AdapterError, "Anthropic API error: #{response.error}" end # Handle both text content and tool use content = "" tool_calls = [] if response.content.is_a?(Array) response.content.each do |content_block| case content_block.type.to_s when "text" content += content_block.text when "tool_use" tool_calls << { id: content_block.id, name: content_block.name, input: content_block.input } end end end usage = response.usage # Convert usage data to typed struct usage_struct = UsageFactory.create('anthropic', usage) = { provider: 'anthropic', model: model, response_id: response.id, role: response.role } # Add tool calls to metadata if present [:tool_calls] = tool_calls unless tool_calls.empty? # Create typed metadata = ResponseMetadataFactory.create('anthropic', ) Response.new( content: content, usage: usage_struct, metadata: ) end rescue => e # Check for specific image-related errors in the message error_msg = e..to_s if error_msg.include?('Could not process image') raise AdapterError, "Image processing failed: #{error_msg}. Ensure your image is a valid PNG, JPEG, GIF, or WebP format, properly base64-encoded, and under 5MB." elsif error_msg.include?('image') raise AdapterError, "Image error: #{error_msg}. Anthropic requires base64-encoded images (URLs are not supported)." elsif error_msg.include?('rate') raise AdapterError, "Anthropic rate limit exceeded: #{error_msg}. Please wait and try again." elsif error_msg.include?('authentication') || error_msg.include?('API key') raise AdapterError, "Anthropic authentication failed: #{error_msg}. Check your API key." else # Generic error handling raise AdapterError, "Anthropic adapter error: #{e.}" end end end |