Claude
fff9f52116
Every test drives the real Spring AI advisor classes (ToolCallingAdvisor,
ToolSearchToolCallingAdvisor) against a hand-written ScriptedChatModel that queues
real ChatResponse objects instead of calling a live LLM -- confirmed viable because
ChatModel has exactly one abstract method, call(Prompt) (checked with javap).
Covers:
- The plain call/execute/recall loop (WeatherTools, an ordinary @Tool method)
- @Tool(returnDirect = true) skipping the second model round trip entirely
(ServerStatusTools)
- ToolContext: excluded from the model-facing JSON schema (verified against the
real generated schema), still delivered to the tool from caller-supplied data
(UserContextTools)
- A 230-tool synthetic library across six fake domains, generated via
FunctionToolCallback.builder(...) (LargeToolLibrary)
- ToolSearchToolCallingAdvisor + RegexToolIndex: one tool ("toolSearchTool")
offered on the first call instead of 230, with real tool-count and
character-footprint measurements taken off the actual outgoing prompts
Findings recorded in the module's Javadoc rather than silently worked around:
- ToolCallingAdvisor only engages when the request's Prompt carries
ToolCallingChatOptions, built from ChatModel.getOptions().mutate() (not
getDefaultOptions(), a separate default method the request-building path never
calls) -- confirmed by disassembling ToolCallingAdvisor.adviseCall and
DefaultChatClientUtils
- The Tool Search Advisor's own tool is named "toolSearchTool" (camelCase), not
"tool_search_tool" -- confirmed via @Tool(name=...) in the decompiled class
- Its session ID comes from ChatClientRequest.context() (AdvisorSpec.param), not
from ChatClient.toolContext(Map) -- confirmed by disassembling
ToolSearchToolCallingAdvisor.initializeSession
- RegexToolIndex matches on verb/noun substrings, not semantic relevance -- a
real captured search for "look up an invoice" returned 5 lookup_-named tools
across three unrelated domains alongside the one actually wanted
Co-Authored-By: Claude Sonnet 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01FtpJvZfg4nvLvtzgJTDWpB
11 lines
553 B
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11 lines
553 B
Plaintext
# Definition-text footprint: full library vs. one search-tool definition
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tools in the library: 230
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total characters of name + description + input schema, ALL 230 tools: 69958
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characters of name + description + input schema, toolSearchTool ONLY: 463
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reduction on the first call of a conversation: 99.3%
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caveat: characters are not tokens, and this is the FIRST call only -- once the model
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has searched, the tools it found are added back in for the rest of that conversation.
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See ToolSearchProgressiveDisclosureTest / output/04 for what gets added back.
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