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
17 lines
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17 lines
521 B
Plaintext
# ToolContext: excluded from the model-facing schema, still delivered to the tool
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my_account input schema sent to the model:
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{
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"$schema" : "https://json-schema.org/draft/2020-12/schema",
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"type" : "object",
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"properties" : { },
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"required" : [ ],
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"additionalProperties" : false
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}
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model's tool call arguments (empty -- it was never told a userId parameter exists):
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{}
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final answer, using the real userId the CALLER supplied via ChatClient.toolContext():
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You're on the GOLD tier with a balance of $4820.50.
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