Search Mode Configuration

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The Web Search tool supports two execution modes, controlled by the Search Mode setting (web_search_active_mode).

Setting

Values

Default

web_search_active_mode

v1, v2

v2

The platform-level default can be overridden via the WEB_SEARCH_MODE environment variable.


V1 -- Basic Search Mode

In V1 mode, the orchestrator LLM sends a simple search query (plus an optional date filter) to the tool. The tool can optionally refine the query before executing.

Language Model

Setting

Type

Default

language_model

Language model identifier

gpt-4o

The language model is used for query refinement (Basic/Advanced modes) and other LLM-driven steps in the pipeline.

Query Refinement

Controls how the user's question is optimized before being sent to the search engine.

Setting

Type

Default

Description

refine_query_mode.mode

Basic / Advanced (Beta) / Deactivated

Basic

Refinement strategy.

refine_query_mode.system_prompt

string (textarea)

Built-in prompt

Instructions for the LLM on how to optimize search queries.

Refinement modes explained:

  • Deactivated -- The query is passed through to the search engine exactly as the orchestrator LLM provided it. No LLM call is made.

  • Basic -- The query is sent to the language model with the refinement prompt. The LLM returns a single optimized query (max ~6 keywords, with optional advanced syntax like quotes, site:, -word).

  • Advanced (Beta) -- The query is sent to the language model, which returns multiple targeted queries. Each query focuses on a different facet of the original question. The number of queries is capped by max_queries.

Note: If the selected language model does not support structured output, query refinement is automatically disabled regardless of this setting.

Maximum Search Queries

Setting

Type

Default

Description

max_queries

integer

5

Maximum number of queries generated in Advanced refinement mode. Only applies when refinement mode is set to Advanced.

Tool Parameter Descriptions

These control the descriptions shown to the orchestrator LLM for the tool's input parameters.

Setting

Type

Default

tool_parameters_description.query_description

string (textarea)

"The search query to issue to the web."

tool_parameters_description.date_restrict_description

string (textarea)

Format description for date restriction (d1, w1, m3, y1, etc.)

Tool Description and System Prompt

Setting

Type

Description

tool_description

string (textarea)

Short description that helps the orchestrator LLM decide when to use web search.

tool_description_for_system_prompt

string (textarea)

Detailed instructions for the orchestrator LLM on how and when to use web search, including query splitting guidance and examples.

image-20260303-115959.png

V2 -- AI-Planned Research Mode

In V2 mode, the orchestrator LLM creates a structured research plan (WebSearchPlan) containing an objective, analysis, a list of steps, and expected outcomes. Steps execute in parallel.

Plan Structure

The orchestrator LLM generates a plan with the following structure:

Field

Description

objective

What the research aims to accomplish.

query_analysis

Analysis of what information is needed and why.

steps[]

List of research steps, each with a step_type, objective, and query_or_url.

expected_outcome

What the research is expected to find.

Each step is one of:

  • search -- Run a search engine query.

  • read_url -- Directly read a specific URL using the crawler.

Maximum Research Steps

Setting

Type

Default

Description

max_steps

integer

5

Maximum number of steps the AI can include in a single research plan. Plans exceeding this limit are truncated.

Tool Description and System Prompt

Setting

Type

Description

tool_description

string (textarea)

Short description that helps the orchestrator LLM decide when to use web search.

tool_description_for_system_prompt

string (textarea)

Detailed instructions for the orchestrator LLM on how to plan and execute web research, including plan structure examples and query optimization techniques.

image-20260303-115903.pngimage-20260303-115924.png

Shared Settings

These settings apply regardless of the active search mode.

Source Content Budget

Setting

Type

Default

Description

percentage_of_input_tokens_for_sources

float (0.0 -- 1.0)

0.4

Percentage of the AI model's input capacity reserved for web search results. Higher values include more search content but leave less room for conversation history.

limit_token_sources

integer

60,000

Hard upper bound on the number of tokens from web sources included in the final prompt.

Debug Mode

Setting

Type

Default

Description

debug

boolean

false

When enabled, logs additional technical details (step timings, intermediate data) for troubleshooting.

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