Generate Language

ai-research-agent / agents/generate-language

Generate

generateLanguageResponse()

function generateLanguageResponse(options: object): Promise<{
  content: string;
  error: string;
  extract: any;
}>;

Defined in: src/agents/generate-language.js:105

Generate Language Response

Writes language response showing human-like understanding of the question and context.

Requires: LLM provider, API Key, agent name, and context input variables for agent.
Providers: groq, togetherai, openai, anthropic, xai, google, perplexity, ollama, cloudflare
Agent Templates: any template from LangHub or custom: summarize-bullets(article), summarize(article), summary-longtext(summaries), suggest-followups(chat_history, article), answer-cite-sources(context, chat_history, query), query-resolution(chat_history, query), knowledge-graph-nodes(query, article)
How it Works: Language models are trained on vast amounts of text to predict the most likely next word or sequence of words given a prompt. They represent words and their contexts as high-dimensional vectors, allowing them to capture complex relationships and nuances in language. Using neural network architectures like transformers, these models analyze input text, apply attention mechanisms to understand context by multiplying scores of all other words, using multiple attention head starting points, and generate human-like responses based on learned patterns.

Parameters

Parameter	Type	Description
`options`	{ `agent?`: `string`; `apiKey?`: `string`; `applyContextLimit?`: `boolean`; `article?`: `string`; `chat_history?`: `string`; `html?`: `boolean`; `LANGCHAIN_API_KEY?`: `string`; `model?`: `string`; `provider`: `string`; `query?`: `string`; `temperature?`: `number`; }	Configuration parameters for language model generation
`options.agent?`	`string`	Name of the agent prompt template to use. Can include custom variables
`options.apiKey?`	`string`	API key for the specified provider. Not required for ollama. For cloudflare, use format: "key:accountId"
`options.applyContextLimit?`	`boolean`	Whether to enforce model's context length limits
`options.article?`	`string`	Article text to process (required for some agents)
`options.chat_history?`	`string`	Previous conversation history (required for some agents)
`options.html?`	`boolean`	Set to true to return response in HTML format, false for markdown
`options.LANGCHAIN_API_KEY?`	`string`	API key for LangChain tracing functionality
`options.model?`	`string`	Specific model name to use. If not provided, uses provider's default model
`options.provider`	`string`	Language model provider to use. Supported providers: groq, togetherai, openai, anthropic, xai, google, perplexity, ollama, cloudflare
`options.query?`	`string`	User's input query text (required for some agents)
`options.temperature?`	`number`	Controls response randomness: Values < 1.0: More deterministic, focused responses Values > 1.0: More creative, varied responses Default: 1.0 (balanced)

Returns

Promise<{ content: string; error: string; extract: any; }>

Response object containing:

content: Generated response in HTML/markdown format
extract: JSON object with extracted data (for supported agents)
error: Error message if generation fails

See

LangChain ReactAgent Tools Hugging Face Tutorials Transformer Overview Building Transformer Guide PyTorch Overview LLM Training Example

👄 LIPs: Language Intelligence Providers

IDs: groq, togetherai, openai, anthropic, xai, google, perplexity, ollama, cloudflare

XAI 📚 Docs 🔑 Keys 💰 80B ($ valuation) 💸 100M ($ 2024 revenue): Grok, Grok Vision
Groq 📚 Docs 🔑 Keys 💰 2.8B: Llama, DeepSeek, Gemini, Mistral
Ollama 📚 Docs 💸 3.2M: llama, mistral, mixtral, vicuna, gemma, qwen, deepseek, openchat, openhermes, codelama, codegemma, llava, minicpm, wizardcoder, wizardmath, meditrion, falcon
OpenAI 📚 Docs 🔑 Keys 💰 300B 💸 3.7B: o1, o1-mini, o4, o4-mini, gpt-4, gpt-4-turbo, gpt-4-omni
Anthropic 📚 Docs 🔑 Keys 💰 61.5B 💸 1B: Claude Sonnet, Claude Opus, Claude Haiku
TogetherAI 📚 Docs 🔑 Keys 💰 3.3B 💸 50M: Llama, Mistral, Mixtral, Qwen, Gemma, WizardLM, DBRX, DeepSeek, Hermes, SOLAR, StripedHyena
Perplexity 📚 Docs 🔑 Keys 💰 18B 💸 20M : Sonar, Sonar Deep Research
Cloudflare 📚 Docs 🔑 Keys 💰 62.3B 💸 1.67B: Llama, Gemma, Mistral, Phi, Qwen, DeepSeek, Hermes, SQL Coder, Code Llama
Google Vertex 📚 Docs 🔑 Keys: Gemini

Author

Language Model Researchers

Example

const response = await generateLanguageResponse({
  query: "Explain neural networks",
  agent: "question",
  provider: "groq",
  apiKey: "your-api-key"
})

Generate Language

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