AxAIServiceOptions Generated TypeScript API reference. typescript api api/reference build/apidocs/TypeAlias.AxAIServiceOptions.md type AxAIServiceOptions

AxAIServiceOptions

TypeScript
type AxAIServiceOptions = object;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L830

Runtime options for AI service requests.

These options control how requests are made to the AI service, including debugging, rate limiting, streaming, function calling, and extended thinking.

Example

TypeScript
const options: AxAIServiceOptions = {
  stream: true,
  thinkingTokenBudget: 'medium',
  debug: true
};
await gen.forward(ai, values, options);

Properties

abortSignal?

TypeScript
optional abortSignal: AbortSignal;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L873

AbortSignal for cancelling in-flight requests.


beta?

TypeScript
optional beta: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L966

Provider-specific hint to opt in to beta API paths when available.

Currently used by Google Gemini on Vertex AI to route requests through v1beta1 instead of the default stable v1 endpoint.


contextCache?

TypeScript
optional contextCache: AxContextCacheOptions;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L997

Context caching options for large prompt prefixes.

When enabled, large prompt prefixes can be cached for cost savings and lower latency on subsequent requests.

Currently supported by: Google Gemini/Vertex AI


corsProxy?

TypeScript
optional corsProxy: string;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L979

CORS proxy URL for browser environments.

When running in a browser, API calls may be blocked by CORS. Specify a proxy URL to route requests through.

Example

TypeScript
'https://cors-anywhere.herokuapp.com/'

customLabels?

TypeScript
optional customLabels: Record<string, string>;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L1007

Custom labels for OpenTelemetry metrics.

These labels are merged with axGlobals.customLabels (service-level options override global settings).

Example

TypeScript
{ environment: 'production', feature: 'search' }

debug?

TypeScript
optional debug: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L837

Enable debug logging for troubleshooting.

When true, logs detailed information about prompts, responses, and the generation pipeline. Useful for understanding AI behavior.


debugHideSystemPrompt?

TypeScript
optional debugHideSystemPrompt: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L882

Hide system prompt in debug output (for cleaner logs).


excludeContentFromTrace?

TypeScript
optional excludeContentFromTrace: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L870

Exclude message content from OpenTelemetry traces (for privacy).


fetch?

TypeScript
optional fetch: typeof fetch;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L851

Custom fetch implementation (useful for proxies or custom HTTP handling).


functionCallMode?

TypeScript
optional functionCallMode: "auto" | "native" | "prompt";

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L906

How to handle function/tool calling.

  • 'auto' - Let the provider decide the best approach (default)
  • 'native' - Use the provider’s native function calling API. Fails if the model doesn’t support it.
  • 'prompt' - Simulate function calling via prompt engineering. Works with any model but may be less reliable.

Default

TypeScript
'auto'

includeRequestBodyInErrors?

TypeScript
optional includeRequestBodyInErrors: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L1018

Whether to include the request body in AxAIServiceError messages.

When false, the request body is omitted from thrown errors. Useful when requests may contain sensitive data (API keys, PII) or large base64-encoded content that would bloat error logs.

Default

TypeScript
true

logger?

TypeScript
optional logger: AxLoggerFunction;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L876

Custom logger function for debug output.


meter?

TypeScript
optional meter: Meter;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L860

OpenTelemetry meter for metrics collection.


rateLimiter?

TypeScript
optional rateLimiter: AxRateLimiterFunction;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L848

Custom rate limiter function to control request throughput.


retry?

TypeScript
optional retry: Partial<RetryConfig>;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L987

Retry configuration for failed requests.

Controls automatic retry behavior for transient errors (rate limits, timeouts, server errors).


sessionId?

TypeScript
optional sessionId: string;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L879

Session identifier for conversation tracking and memory isolation.


showThoughts?

TypeScript
optional showThoughts: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L950

Include the model’s thinking/reasoning in the output.

When true and thinkingTokenBudget is set, the model’s internal reasoning is included in the response. Useful for debugging and understanding AI behavior.

Default

TypeScript
false

stepIndex?

TypeScript
optional stepIndex: number;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L969

Internal: Current step index for multi-step operations.


stream?

TypeScript
optional stream: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L893

Enable streaming responses.

When true, the AI returns responses as a stream of chunks, enabling real-time display of generated text.


thinkingTokenBudget?

TypeScript
optional thinkingTokenBudget: "minimal" | "low" | "medium" | "high" | "highest" | "none";

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L934

Token budget for extended thinking (chain-of-thought reasoning).

Extended thinking allows models to “think through” complex problems before responding. Higher budgets allow deeper reasoning but cost more.

Approximate token allocations:

  • 'none' - Disabled (default)
  • 'minimal' - ~1,000 tokens (~750 words of thinking)
  • 'low' - ~4,000 tokens
  • 'medium' - ~10,000 tokens
  • 'high' - ~20,000 tokens
  • 'highest' - ~32,000+ tokens (provider maximum)

Provider support:

  • Anthropic Claude: Full support with claude-sonnet-4 and above
  • OpenAI: Supported with o1/o3 models (uses reasoning_effort)
  • Google: Supported with Gemini 2.0 Flash Thinking
  • DeepSeek: Supported with DeepSeek V4 models

Example

TypeScript
// Enable medium thinking for complex reasoning
await gen.forward(ai, values, { thinkingTokenBudget: 'medium' });

timeout?

TypeScript
optional timeout: number;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L867

Request timeout in milliseconds.

Default

TypeScript
300000 (5 minutes)

traceContext?

TypeScript
optional traceContext: Context;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L885

OpenTelemetry trace context for distributed tracing.


tracer?

TypeScript
optional tracer: Tracer;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L857

OpenTelemetry tracer for distributed tracing.


useExpensiveModel?

TypeScript
optional useExpensiveModel: "yes";

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L958

Hint to use a more capable (and expensive) model for complex tasks.

Some providers offer tiered models. Setting this to ‘yes’ requests the higher-capability tier when available.


verbose?

TypeScript
optional verbose: boolean;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L845

Enable low-level HTTP request/response logging.

More verbose than debug. Shows raw HTTP traffic including headers. Useful for debugging API issues.


webSocket?

TypeScript
optional webSocket: any;

Defined in: https://github.com/ax-llm/ax/blob/5b28f9093bb70863b59459bb6df5062d005bce41/src/ax/ai/types.ts#L854

Custom WebSocket constructor for providers that use realtime WebSocket transports.

Docs