Module: Agentic::Capabilities::Examples
- Defined in:
- lib/agentic/capabilities/examples.rb
Overview
Example capabilities for common tasks
Class Method Summary collapse
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.register_all ⇒ void
Register all example capabilities.
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.register_brainstorming ⇒ CapabilitySpecification
Register a brainstorming capability.
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.register_code_generation ⇒ CapabilitySpecification
Register a code generation capability.
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.register_data_analysis ⇒ CapabilitySpecification
Register a data analysis capability.
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.register_structured_extraction ⇒ CapabilitySpecification
Register a structured extraction capability.
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.register_summarization ⇒ CapabilitySpecification
Register a summarization capability.
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.register_text_generation ⇒ CapabilitySpecification
Register a text generation capability.
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.register_web_search ⇒ CapabilitySpecification
Register a web search capability.
Class Method Details
.register_all ⇒ void
This method returns an undefined value.
Register all example capabilities
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# File 'lib/agentic/capabilities/examples.rb', line 14 def register_all register_text_generation register_web_search register_data_analysis register_code_generation register_summarization register_brainstorming register_structured_extraction end |
.register_brainstorming ⇒ CapabilitySpecification
Register a brainstorming capability
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# File 'lib/agentic/capabilities/examples.rb', line 339 def register_brainstorming spec = CapabilitySpecification.new( name: "brainstorming", description: "Generates creative ideas for a topic", version: "1.0.0", inputs: { topic: { type: "string", required: true, description: "The topic to brainstorm about" }, num_ideas: { type: "integer", description: "Number of ideas to generate" }, creativity: { type: "number", description: "Creativity level (0.0-1.0)" } }, outputs: { ideas: { type: "array", required: true, description: "The generated ideas" }, themes: { type: "array", description: "Common themes across the ideas" } }, dependencies: [ {name: "text_generation", version: "1.0.0"} ] ) provider = CapabilityProvider.new( capability: spec, implementation: lambda do |inputs| topic = inputs[:topic] num_ideas = inputs[:num_ideas] || 10 creativity = inputs[:creativity] || 0.7 # Get the text generation capability text_gen_provider = registry.get_provider("text_generation") # Generate ideas ideas_prompt = "Brainstorm #{num_ideas} creative ideas about: #{topic}" ideas_response = text_gen_provider.execute( prompt: ideas_prompt, temperature: creativity )[:response] # Parse ideas ideas = ideas_response.split("\n").map { |line| line.sub(/^\d+\.\s*/, "") }.map(&:strip).reject(&:empty?) # Identify themes themes_prompt = "Identify 3-5 common themes in the following ideas:\n\n#{ideas.join("\n")}" themes_response = text_gen_provider.execute(prompt: themes_prompt)[:response] themes = themes_response.split("\n").map(&:strip).reject(&:empty?) { ideas: ideas, themes: themes } end ) registry.register(spec, provider) end |
.register_code_generation ⇒ CapabilitySpecification
Register a code generation capability
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# File 'lib/agentic/capabilities/examples.rb', line 200 def register_code_generation spec = CapabilitySpecification.new( name: "code_generation", description: "Generates code based on requirements", version: "1.0.0", inputs: { requirements: { type: "string", required: true, description: "The code requirements" }, language: { type: "string", required: true, description: "The programming language" }, include_comments: { type: "boolean", description: "Whether to include comments in the code" } }, outputs: { code: { type: "string", required: true, description: "The generated code" }, explanation: { type: "string", description: "Explanation of the code" } }, dependencies: [ {name: "text_generation", version: "1.0.0"} ] ) provider = CapabilityProvider.new( capability: spec, implementation: lambda do |inputs| requirements = inputs[:requirements] language = inputs[:language] include_comments = inputs[:include_comments] || false # Get the text generation capability text_gen_provider = registry.get_provider("text_generation") # Generate code comments_instruction = include_comments ? "Include detailed comments." : "Keep comments minimal." code_prompt = "Generate #{language} code for the following requirements:\n\n#{requirements}\n\n#{comments_instruction}" code = text_gen_provider.execute(prompt: code_prompt)[:response] # Generate explanation if needed explanation = nil if include_comments explanation_prompt = "Explain the following #{language} code:\n\n#{code}" explanation = text_gen_provider.execute(prompt: explanation_prompt)[:response] end result = {code: code} result[:explanation] = explanation if explanation result end ) registry.register(spec, provider) end |
.register_data_analysis ⇒ CapabilitySpecification
Register a data analysis capability
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# File 'lib/agentic/capabilities/examples.rb', line 135 def register_data_analysis spec = CapabilitySpecification.new( name: "data_analysis", description: "Analyzes data and extracts insights", version: "1.0.0", inputs: { data: { type: "object", required: true, description: "The data to analyze" }, analysis_type: { type: "string", description: "The type of analysis to perform" } }, outputs: { insights: { type: "array", required: true, description: "The extracted insights" }, summary: { type: "string", required: true, description: "A summary of the analysis" } }, dependencies: [ {name: "text_generation", version: "1.0.0"} ] ) provider = CapabilityProvider.new( capability: spec, implementation: lambda do |inputs| data = inputs[:data] analysis_type = inputs[:analysis_type] || "basic" # Get the text generation capability text_gen_provider = registry.get_provider("text_generation") # Generate insights based on the data insights_prompt = "Analyze the following data using #{analysis_type} analysis and provide key insights:\n\n#{data.inspect}" insights_response = text_gen_provider.execute(prompt: insights_prompt)[:response] # Parse insights insights = insights_response.split("\n").map(&:strip).reject(&:empty?) # Generate summary summary_prompt = "Summarize the following insights in one paragraph:\n\n#{insights.join("\n")}" summary = text_gen_provider.execute(prompt: summary_prompt)[:response] { insights: insights, summary: summary } end ) registry.register(spec, provider) end |
.register_structured_extraction ⇒ CapabilitySpecification
Register a structured extraction capability
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# File 'lib/agentic/capabilities/examples.rb', line 412 def register_structured_extraction spec = CapabilitySpecification.new( name: "structured_extraction", description: "Extracts structured data from text", version: "1.0.0", inputs: { content: { type: "string", required: true, description: "The content to extract from" }, schema: { type: "object", required: true, description: "The schema to extract" } }, outputs: { data: { type: "object", required: true, description: "The extracted data" }, confidence: { type: "number", description: "Confidence score for the extraction" } }, dependencies: [ {name: "text_generation", version: "1.0.0"} ] ) provider = CapabilityProvider.new( capability: spec, implementation: lambda do |inputs| content = inputs[:content] schema = inputs[:schema] # Get the text generation capability text_gen_provider = registry.get_provider("text_generation") # Create extraction prompt schema_str = JSON.pretty_generate(schema) extraction_prompt = " Extract structured data from the following content according to this schema:\n \n \#{schema_str}\n \n Content:\n \#{content}\n \n Return the data as valid JSON.\n PROMPT\n\n # Generate extraction\n extraction_response = text_gen_provider.execute(prompt: extraction_prompt)[:response]\n\n # Parse JSON (with error handling)\n data = nil\n begin\n # Clean the response to ensure it's valid JSON\n json_str = extraction_response.gsub(/```json|```/, \"\").strip\n data = JSON.parse(json_str)\n rescue JSON::ParserError\n # Fallback extraction for malformed JSON\n data = extract_fallback(extraction_response)\n end\n\n # Calculate confidence based on schema match\n confidence = calculate_confidence(data, schema)\n\n {\n data: data,\n confidence: confidence\n }\n end\n )\n\n registry.register(spec, provider)\nend\n" |
.register_summarization ⇒ CapabilitySpecification
Register a summarization capability
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# File 'lib/agentic/capabilities/examples.rb', line 271 def register_summarization spec = CapabilitySpecification.new( name: "summarization", description: "Summarizes text content", version: "1.0.0", inputs: { content: { type: "string", required: true, description: "The content to summarize" }, max_length: { type: "integer", description: "Maximum length of the summary" }, format: { type: "string", description: "Format of the summary (paragraph, bullets, etc.)" } }, outputs: { summary: { type: "string", required: true, description: "The generated summary" }, key_points: { type: "array", description: "Key points from the content" } }, dependencies: [ {name: "text_generation", version: "1.0.0"} ] ) provider = CapabilityProvider.new( capability: spec, implementation: lambda do |inputs| content = inputs[:content] max_length = inputs[:max_length] format = inputs[:format] || "paragraph" # Get the text generation capability text_gen_provider = registry.get_provider("text_generation") # Generate summary length_instruction = max_length ? "Keep the summary under #{max_length} words." : "" summary_prompt = "Summarize the following content in #{format} format. #{length_instruction}\n\n#{content}" summary = text_gen_provider.execute(prompt: summary_prompt)[:response] # Extract key points key_points_prompt = "Extract 3-5 key points from the following content:\n\n#{content}" key_points_response = text_gen_provider.execute(prompt: key_points_prompt)[:response] key_points = key_points_response.split("\n").map(&:strip).reject(&:empty?) { summary: summary, key_points: key_points } end ) registry.register(spec, provider) end |
.register_text_generation ⇒ CapabilitySpecification
Register a text generation capability
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# File 'lib/agentic/capabilities/examples.rb', line 26 def register_text_generation spec = CapabilitySpecification.new( name: "text_generation", description: "Generates text based on a prompt", version: "1.0.0", inputs: { prompt: { type: "string", required: true, description: "The prompt to generate text from" }, max_tokens: { type: "integer", description: "Maximum number of tokens to generate" }, temperature: { type: "number", description: "Sampling temperature (0.0-1.0)" } }, outputs: { response: { type: "string", required: true, description: "The generated text" } } ) provider = CapabilityProvider.new( capability: spec, implementation: lambda do |inputs| # Get the LLM client llm_config = LlmConfig.new llm_config.max_tokens = inputs[:max_tokens] if inputs[:max_tokens] llm_config.temperature = inputs[:temperature] if inputs[:temperature] client = Agentic.client(llm_config) # Generate text response = client.complete(prompt: inputs[:prompt]) {response: response.to_s} end ) registry.register(spec, provider) end |
.register_web_search ⇒ CapabilitySpecification
Register a web search capability
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# File 'lib/agentic/capabilities/examples.rb', line 77 def register_web_search spec = CapabilitySpecification.new( name: "web_search", description: "Searches the web for information", version: "1.0.0", inputs: { query: { type: "string", required: true, description: "The search query" }, num_results: { type: "integer", description: "Number of results to return" } }, outputs: { results: { type: "array", required: true, description: "The search results" }, sources: { type: "array", description: "The sources of the results" } } ) provider = CapabilityProvider.new( capability: spec, implementation: lambda do |inputs| # This is a mock implementation # In a real implementation, you would use a search API or web scraping query = inputs[:query] num_results = inputs[:num_results] || 3 results = num_results.times.map do |i| "Result #{i + 1} for query: #{query}" end sources = num_results.times.map do |i| "https://example.com/result#{i + 1}" end { results: results, sources: sources } end ) registry.register(spec, provider) end |