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#!/usr/bin/env python3
"""
Test tool calling capability via chat completions endpoint.
Each test case contains:
- tools: list of tool definitions (OpenAI-compatible)
- messages: initial conversation messages
- mock_tool_responses: dict mapping tool_name -> callable(arguments) -> str (JSON)
- validate: callable(tool_calls_history, final_content) -> (passed: bool, reason: str)
"""
import
argparse
import
json
import
requests
import
sys
# ---------------------------------------------------------------------------
# Color / formatting helpers
# ---------------------------------------------------------------------------
RESET
=
"
\x1b
[0m"
BOLD
=
"
\x1b
[1m"
DIM
=
"
\x1b
[2m"
# Foreground colors
CYAN
=
"
\x1b
[36m"
YELLOW
=
"
\x1b
[33m"
GREEN
=
"
\x1b
[32m"
RED
=
"
\x1b
[31m"
BLUE
=
"
\x1b
[34m"
WHITE
=
"
\x1b
[97m"
def
_print
(
text
=
""
,
end
=
"
\n
"
):
sys
.
stdout
.
write
(
text
+
end
)
sys
.
stdout
.
flush
()
def
print_header
(
title
):
bar
=
"─"
*
60
_print
(
f"
\n
{
BOLD
}
{
CYAN
}
┌
{
bar
}
┐
{
RESET
}
"
)
_print
(
f"
{
BOLD
}
{
CYAN
}
│
{
WHITE
}
{
title
}
{
CYAN
}
{
' '
*
max
(
0
,
58
-
len
(
title
))
}
│
{
RESET
}
"
)
_print
(
f"
{
BOLD
}
{
CYAN
}
└
{
bar
}
┘
{
RESET
}
"
)
def
print_tool_call
(
name
,
args
):
args_str
=
json
.
dumps
(
args
)
_print
(
f"
\n
{
BOLD
}
{
YELLOW
}
⚙ tool call
{
RESET
}
{
CYAN
}
{
name
}
{
RESET
}
{
DIM
}
(
{
args_str
}
)
{
RESET
}
"
)
def
print_tool_result
(
result
):
preview
=
result
[:
160
]
+
(
"…"
if
len
(
result
)
>
160
else
""
)
_print
(
f"
{
DIM
}
{
BLUE
}
↳ result
{
RESET
}
{
DIM
}
{
preview
}
{
RESET
}
"
)
def
print_model_output
(
text
):
# printed inline during streaming; prefix with a visual marker on first chunk
sys
.
stdout
.
write
(
text
)
sys
.
stdout
.
flush
()
def
print_pass
(
reason
):
_print
(
f"
\n
{
BOLD
}
{
GREEN
}
✔ PASS
{
RESET
}
{
reason
}
"
)
def
print_fail
(
reason
):
_print
(
f"
\n
{
BOLD
}
{
RED
}
✘ FAIL
{
RESET
}
{
reason
}
"
)
def
print_info
(
msg
):
_print
(
f"
{
DIM
}
{
msg
}
{
RESET
}
"
)
# ---------------------------------------------------------------------------
# HTTP helpers
# ---------------------------------------------------------------------------
def
chat_completion
(
url
,
messages
,
tools
=
None
,
stream
=
False
,
force_tools
=
False
):
payload
=
{
"messages"
:
messages
,
"stream"
:
stream
,
"max_tokens"
:
4096
,
}
if
tools
:
payload
[
"tools"
]
=
tools
if
force_tools
:
payload
[
"tool_choice"
]
=
"required"
else
:
payload
[
"tool_choice"
]
=
"auto"
try
:
response
=
requests
.
post
(
url
,
json
=
payload
,
stream
=
stream
)
response
.
raise_for_status
()
except
requests
.
exceptions
.
RequestException
as
e
:
body
=
e
.
response
.
content
if
(
e
.
response
is
not
None
)
else
b""
print_fail
(
f"Request error:
{
e
}
| body:
{
body
}
"
)
return
None
full_content
=
""
reasoning_content
=
""
tool_calls
:
list
[
dict
]
=
[]
if
stream
:
for
line
in
response
.
iter_lines
():
if
not
line
:
continue
decoded
=
line
.
decode
(
"utf-8"
)
if
not
decoded
.
startswith
(
"data: "
):
continue
data_str
=
decoded
[
6
:]
if
data_str
==
"[DONE]"
:
break
try
:
data
=
json
.
loads
(
data_str
)
except
json
.
JSONDecodeError
:
continue
choices
=
data
.
get
(
"choices"
, [])
if
not
choices
:
continue
delta
=
choices
[
0
].
get
(
"delta"
, {})
if
delta
.
get
(
"reasoning_content"
):
reasoning_content
+=
delta
[
"reasoning_content"
]
if
delta
.
get
(
"content"
):
full_content
+=
delta
[
"content"
]
print_model_output
(
delta
[
"content"
])
for
tc
in
delta
.
get
(
"tool_calls"
, []):
idx
=
tc
.
get
(
"index"
,
0
)
while
len
(
tool_calls
)
<=
idx
:
tool_calls
.
append
(
{
"id"
:
""
,
"type"
:
"function"
,
"function"
: {
"name"
:
""
,
"arguments"
:
""
},
}
)
if
"id"
in
tc
:
tool_calls
[
idx
][
"id"
]
+=
tc
[
"id"
]
if
"function"
in
tc
:
if
"name"
in
tc
[
"function"
]:
tool_calls
[
idx
][
"function"
][
"name"
]
+=
tc
[
"function"
][
"name"
]
if
"arguments"
in
tc
[
"function"
]:
tool_calls
[
idx
][
"function"
][
"arguments"
]
+=
tc
[
"function"
][
"arguments"
]
else
:
data
=
response
.
json
()
choices
=
data
.
get
(
"choices"
, [])
if
choices
:
msg
=
choices
[
0
].
get
(
"message"
, {})
full_content
=
msg
.
get
(
"content"
)
or
""
reasoning_content
=
msg
.
get
(
"reasoning_content"
)
or
""
tool_calls
=
msg
.
get
(
"tool_calls"
)
or
[]
if
full_content
:
print_model_output
(
full_content
)
result
=
{
"content"
:
full_content
,
"tool_calls"
:
tool_calls
}
if
reasoning_content
:
result
[
"reasoning_content"
]
=
reasoning_content
return
result
def
all_tools_called
(
tools
,
all_tool_calls
):
all_tool_names
=
set
([
tc
[
"function"
][
"name"
]
for
tc
in
tools
])
all_called_tool_names
=
set
([
tc
[
"function"
][
"name"
]
for
tc
in
all_tool_calls
])
return
all_tool_names
==
all_called_tool_names
def
run_agentic_loop
(
url
,
messages
,
tools
,
mock_tool_responses
,
stream
,
max_turns
=
6
,
force_tools
=
False
):
"""
Drive the multi-turn tool-call loop:
1. Send messages to model.
2. If the model returns tool calls, execute mocks and append results.
3. Repeat until no more tool calls or max_turns reached.
Returns (all_tool_calls, final_content).
"""
msgs
=
list
(
messages
)
all_tool_calls
:
list
[
dict
]
=
[]
for
t
in
range
(
max_turns
):
result
=
chat_completion
(
url
,
msgs
,
tools
=
tools
,
stream
=
stream
,
force_tools
=
(
force_tools
and
not
all_tools_called
(
tools
,
all_tool_calls
)))
if
result
is
None
:
return
all_tool_calls
,
None
tcs
=
result
.
get
(
"tool_calls"
)
or
[]
content
=
result
.
get
(
"content"
)
or
""
if
not
tcs
:
# Print a visual separator before the final model response
if
content
:
_print
(
f"
\n
{
DIM
}
{
'·'
*
60
}
{
RESET
}
"
)
_print
(
f"
{
DIM
}
model response:
{
RESET
}
\n
"
)
return
all_tool_calls
,
content
# Record tool calls for validation
all_tool_calls
.
extend
(
tcs
)
# Append assistant message with tool calls
assistant_msg
:
dict
=
{
"role"
:
"assistant"
,
"content"
:
content
,
"tool_calls"
:
tcs
,
}
reasoning
=
result
.
get
(
"reasoning_content"
)
if
reasoning
:
assistant_msg
[
"reasoning_content"
]
=
reasoning
msgs
.
append
(
assistant_msg
)
# Execute each tool call via mock and append tool result messages
for
tc
in
tcs
:
tool_name
=
tc
[
"function"
][
"name"
]
try
:
args
=
json
.
loads
(
tc
[
"function"
][
"arguments"
])
except
json
.
JSONDecodeError
:
args
=
{}
print_tool_call
(
tool_name
,
args
)
mock_fn
=
mock_tool_responses
.
get
(
tool_name
)
if
mock_fn
:
tool_result
=
mock_fn
(
args
)
else
:
tool_result
=
json
.
dumps
({
"error"
:
f"Unknown tool:
{
tool_name
}
"
})
print_tool_result
(
tool_result
)
msgs
.
append
(
{
"role"
:
"tool"
,
"tool_call_id"
:
tc
.
get
(
"id"
,
""
),
"content"
:
tool_result
,
}
)
return
all_tool_calls
,
None
# ---------------------------------------------------------------------------
# Test case runner
# ---------------------------------------------------------------------------
def
run_test
(
url
,
test_case
,
stream
,
force_tools
):
name
=
test_case
[
"name"
]
mode
=
f"
{
'stream'
if
stream
else
'non-stream'
}
"
print_header
(
f"
{
name
}
[
{
mode
}
, force_tools=
{
force_tools
}
] "
)
all_tool_calls
,
final_content
=
run_agentic_loop
(
url
,
messages
=
test_case
[
"messages"
],
tools
=
test_case
[
"tools"
],
mock_tool_responses
=
test_case
[
"mock_tool_responses"
],
stream
=
stream
,
force_tools
=
force_tools
)
if
final_content
is
None
and
not
all_tool_calls
:
print_fail
(
"No response from server."
)
return
False
passed
,
reason
=
test_case
[
"validate"
](
all_tool_calls
,
final_content
)
if
passed
:
print_pass
(
reason
)
else
:
print_fail
(
reason
)
return
passed
# ---------------------------------------------------------------------------
# Test case definitions
# ---------------------------------------------------------------------------
# ---- Test 1: E-commerce multi-step search (Azzoo = anonymized marketplace) ----
_AZZOO_TOOLS
=
[
{
"type"
:
"function"
,
"function"
: {
"name"
:
"azzoo_search_products"
,
"description"
: (
"Search for products on Azzoo marketplace by keyword. "
"Returns a list of matching products with IDs, titles, ratings and prices."
),
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"query"
: {
"type"
:
"string"
,
"description"
:
"Search keyword or phrase"
,
},
"page"
: {
"type"
:
"string"
,
"description"
:
"Page number (1-based)"
,
"default"
:
"1"
,
},
},
"required"
: [
"query"
],
},
},
},
{
"type"
:
"function"
,
"function"
: {
"name"
:
"azzoo_get_product"
,
"description"
:
"Retrieve detailed information about a specific Azzoo product including specs and price."
,
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"product_id"
: {
"type"
:
"string"
,
"description"
:
"Azzoo product identifier (e.g. AZB12345)"
,
},
},
"required"
: [
"product_id"
],
},
},
},
{
"type"
:
"function"
,
"function"
: {
"name"
:
"azzoo_get_reviews"
,
"description"
:
"Fetch customer reviews for an Azzoo product."
,
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"product_id"
: {
"type"
:
"string"
,
"description"
:
"Azzoo product identifier"
,
},
"page"
: {
"type"
:
"string"
,
"description"
:
"Review page number"
,
"default"
:
"1"
,
},
},
"required"
: [
"product_id"
],
},
},
},
]
_AZZOO_SEARCH_RESULT
=
{
"results"
: [
{
"product_id"
:
"AZB00001"
,
"title"
:
"SteelBrew Pro Kettle 1.7L"
,
"rating"
:
4.6
,
"price"
:
34.99
,
},
{
"product_id"
:
"AZB00002"
,
"title"
:
"HeatKeep Gooseneck Kettle"
,
"rating"
:
4.3
,
"price"
:
27.50
,
},
{
"product_id"
:
"AZB00003"
,
"title"
:
"QuickBoil Stainless Kettle"
,
"rating"
:
4.1
,
"price"
:
21.00
,
},
]
}
_AZZOO_PRODUCT_RESULT
=
{
"product_id"
:
"AZB00001"
,
"title"
:
"SteelBrew Pro Kettle 1.7L"
,
"price"
:
34.99
,
"rating"
:
4.6
,
"review_count"
:
2847
,
"specs"
: {
"material"
:
"18/8 stainless steel"
,
"capacity"
:
"1.7 L"
,
"auto_shutoff"
:
True
,
"keep_warm"
:
"30 min"
,
"warranty"
:
"2 years"
,
},
}
_AZZOO_REVIEWS_RESULT
=
{
"product_id"
:
"AZB00001"
,
"average_rating"
:
4.6
,
"reviews"
: [
{
"rating"
:
5
,
"title"
:
"Excellent build quality"
,
"body"
:
"Very sturdy, boils fast and stays warm longer than expected."
,
},
{
"rating"
:
5
,
"title"
:
"Great for loose-leaf tea"
,
"body"
:
"The wide spout makes filling a teapot easy. No leaks after months of use."
,
},
{
"rating"
:
3
,
"title"
:
"Minor lid issue"
,
"body"
:
"The lid doesn't always click shut properly, but overall happy with it."
,
},
{
"rating"
:
4
,
"title"
:
"Good value"
,
"body"
:
"Heats quickly and the auto shutoff works reliably."
,
},
],
}
AZZOO_TEST_CASE
=
{
"name"
:
"Azzoo E-commerce: search -> product detail -> reviews"
,
"messages"
: [
{
"role"
:
"user"
,
"content"
: (
"I need a durable stainless steel tea kettle for my weekly tea gatherings. "
"Please search Azzoo for 'stainless steel tea kettle', then get full details "
"on the top-rated result, and finally fetch its customer reviews so I can "
"check for recurring complaints. Give me a summary with pros and cons."
),
}
],
"tools"
:
_AZZOO_TOOLS
,
"mock_tool_responses"
: {
"azzoo_search_products"
:
lambda
_
:
json
.
dumps
(
_AZZOO_SEARCH_RESULT
),
"azzoo_get_product"
:
lambda
_
:
json
.
dumps
(
_AZZOO_PRODUCT_RESULT
),
"azzoo_get_reviews"
:
lambda
_
:
json
.
dumps
(
_AZZOO_REVIEWS_RESULT
),
},
"validate"
:
lambda
tcs
,
content
:
_validate_azzoo
(
tcs
,
content
),
}
def
_validate_azzoo
(
tcs
,
content
):
names
=
[
tc
[
"function"
][
"name"
]
for
tc
in
tcs
]
if
not
names
:
return
False
,
"No tool calls made"
if
"azzoo_search_products"
not
in
names
:
return
False
,
f"Expected azzoo_search_products to be called, got:
{
names
}
"
# After search the model should look up product details
if
"azzoo_get_product"
not
in
names
and
"azzoo_get_reviews"
not
in
names
:
return
False
,
f"Expected follow-up product/review lookup, got:
{
names
}
"
# Verify product lookup used an ID from search results
for
tc
in
tcs
:
if
tc
[
"function"
][
"name"
]
==
"azzoo_get_product"
:
try
:
args
=
json
.
loads
(
tc
[
"function"
][
"arguments"
])
pid
=
args
.
get
(
"product_id"
,
""
)
if
not
pid
:
return
False
,
"azzoo_get_product called with empty product_id"
except
json
.
JSONDecodeError
:
return
False
,
"azzoo_get_product arguments are not valid JSON"
if
not
content
:
return
False
,
"No final summary produced"
return
True
,
f"All expected tools called in order:
{
names
}
"
# ---- Test 2: Fitness BMI + exercise recommendations ----
_FITNESS_TOOLS
=
[
{
"type"
:
"function"
,
"function"
: {
"name"
:
"calculate_bmi"
,
"description"
:
"Calculate Body Mass Index (BMI) from weight and height."
,
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"weight_kg"
: {
"type"
:
"number"
,
"description"
:
"Body weight in kilograms"
,
},
"height_m"
: {
"type"
:
"number"
,
"description"
:
"Height in meters"
},
},
"required"
: [
"weight_kg"
,
"height_m"
],
},
},
},
{
"type"
:
"function"
,
"function"
: {
"name"
:
"get_exercises"
,
"description"
: (
"Fetch a list of exercises filtered by muscle group, difficulty, category, "
"and/or force type."
),
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"muscle"
: {
"type"
:
"string"
,
"description"
:
"Target muscle group (e.g. chest, back, legs)"
,
},
"difficulty"
: {
"type"
:
"string"
,
"description"
:
"Difficulty level: beginner, intermediate, expert"
,
},
"category"
: {
"type"
:
"string"
,
"description"
:
"Exercise category (e.g. strength, cardio, stretching)"
,
},
"force"
: {
"type"
:
"string"
,
"description"
:
"Force type: push, pull, static"
,
},
},
"required"
: [],
},
},
},
]
_BMI_RESULT
=
{
"bmi"
:
24.5
,
"category"
:
"Normal weight"
,
"healthy_range"
:
"18.5 – 24.9"
}
_EXERCISES_RESULT
=
{
"exercises"
: [
{
"name"
:
"Push-Up"
,
"muscle"
:
"chest"
,
"difficulty"
:
"beginner"
,
"equipment"
:
"none"
,
"instructions"
:
"Keep body straight, lower chest to floor."
,
},
{
"name"
:
"Incline Dumbbell Press"
,
"muscle"
:
"chest"
,
"difficulty"
:
"beginner"
,
"equipment"
:
"dumbbells, bench"
,
"instructions"
:
"Press dumbbells up from chest on incline bench."
,
},
{
"name"
:
"Chest Fly (cables)"
,
"muscle"
:
"chest"
,
"difficulty"
:
"beginner"
,
"equipment"
:
"cable machine"
,
"instructions"
:
"Bring cables together in an arc motion."
,
},
]
}
FITNESS_TEST_CASE
=
{
"name"
:
"Fitness: BMI calculation + exercise suggestions"
,
"messages"
: [
{
"role"
:
"user"
,
"content"
: (
"I'm a 32-year-old male, 78 kg and 1.80 m tall. "
"Please calculate my BMI and then suggest some beginner chest exercises I can do "
"to build strength. Give me a short personalised plan."
),
}
],
"tools"
:
_FITNESS_TOOLS
,
"mock_tool_responses"
: {
"calculate_bmi"
:
lambda
_
:
json
.
dumps
(
_BMI_RESULT
),
"get_exercises"
:
lambda
_
:
json
.
dumps
(
_EXERCISES_RESULT
),
},
"validate"
:
lambda
tcs
,
content
:
_validate_fitness
(
tcs
,
content
),
}
def
_validate_fitness
(
tcs
,
content
):
names
=
[
tc
[
"function"
][
"name"
]
for
tc
in
tcs
]
if
not
names
:
return
False
,
"No tool calls made"
if
"calculate_bmi"
not
in
names
:
return
False
,
f"Expected calculate_bmi to be called, got:
{
names
}
"
# Validate BMI args contain plausible values
for
tc
in
tcs
:
if
tc
[
"function"
][
"name"
]
==
"calculate_bmi"
:
try
:
args
=
json
.
loads
(
tc
[
"function"
][
"arguments"
])
w
=
args
.
get
(
"weight_kg"
)
h
=
args
.
get
(
"height_m"
)
if
w
is
None
or
h
is
None
:
return
False
,
f"calculate_bmi missing weight_kg or height_m:
{
args
}
"
if
not
(
50
<=
float
(
w
)
<=
200
):
return
False
,
f"calculate_bmi weight out of plausible range:
{
w
}
"
if
not
(
1.0
<=
float
(
h
)
<=
2.5
):
return
False
,
f"calculate_bmi height out of plausible range:
{
h
}
"
except
(
json
.
JSONDecodeError
,
ValueError
)
as
e
:
return
False
,
f"calculate_bmi argument error:
{
e
}
"
if
not
content
:
return
False
,
"No final plan produced"
return
True
,
f"Tools called:
{
names
}
"
# ---- Test 3: Community class planning (anonymised cooking/topic discovery) ----
_COMMUNITY_TOOLS
=
[
{
"type"
:
"function"
,
"function"
: {
"name"
:
"get_trending_questions"
,
"description"
: (
"Fetch commonly asked questions on a topic from search engine 'People Also Ask' boxes."
),
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"query"
: {
"type"
:
"string"
,
"description"
:
"Topic to search for"
},
"max_results"
: {
"type"
:
"integer"
,
"description"
:
"Maximum questions to return"
,
"default"
:
10
,
},
},
"required"
: [
"query"
],
},
},
},
{
"type"
:
"function"
,
"function"
: {
"name"
:
"search_mobile_apps"
,
"description"
:
"Search the mobile app store for apps matching a category or keyword."
,
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"keyword"
: {
"type"
:
"string"
,
"description"
:
"Search keyword (e.g. 'Italian cooking')"
,
},
"platform"
: {
"type"
:
"string"
,
"enum"
: [
"ios"
,
"android"
,
"both"
],
"default"
:
"both"
,
},
"max_results"
: {
"type"
:
"integer"
,
"description"
:
"Number of results"
,
"default"
:
10
,
},
},
"required"
: [
"keyword"
],
},
},
},
]
_TRENDING_QUESTIONS_RESULT
=
{
"query"
:
"Italian cuisine"
,
"questions"
: [
"What are the most popular Italian dishes?"
,
"What makes Italian food different from other cuisines?"
,
"How do you make authentic Italian pasta from scratch?"
,
"What are traditional Italian desserts?"
,
"What herbs are commonly used in Italian cooking?"
,
"Is Italian food healthy?"
,
"What wine pairs best with Italian pasta?"
,
],
}
_APPS_RESULT
=
{
"keyword"
:
"Italian cooking"
,
"results"
: [
{
"name"
:
"PastaPro"
,
"rating"
:
4.5
,
"installs"
:
"500K+"
,
"focus"
:
"pasta recipes only"
,
},
{
"name"
:
"CookEasy"
,
"rating"
:
4.2
,
"installs"
:
"1M+"
,
"focus"
:
"general cooking, limited Italian content"
,
},
{
"name"
:
"ItalianKitchen"
,
"rating"
:
3.8
,
"installs"
:
"100K+"
,
"focus"
:
"regional Italian recipes, no video"
,
},
],
}
COMMUNITY_CLASS_TEST_CASE
=
{
"name"
:
"Community class planning: trending topics + app gap analysis"
,
"messages"
: [
{
"role"
:
"user"
,
"content"
: (
"I want to start teaching Italian cooking classes at my community centre. "
"First, find out what people commonly ask about Italian cuisine online. "
"Then search for existing Italian cooking apps to see what they cover. "
"Use both results to suggest three unique angles for my classes that fill gaps "
"in what apps already offer."
),
}
],
"tools"
:
_COMMUNITY_TOOLS
,
"mock_tool_responses"
: {
"get_trending_questions"
:
lambda
_
:
json
.
dumps
(
_TRENDING_QUESTIONS_RESULT
),
"search_mobile_apps"
:
lambda
_
:
json
.
dumps
(
_APPS_RESULT
),
},
"validate"
:
lambda
tcs
,
content
:
_validate_community
(
tcs
,
content
),
}
def
_validate_community
(
tcs
,
content
):
names
=
[
tc
[
"function"
][
"name"
]
for
tc
in
tcs
]
if
not
names
:
return
False
,
"No tool calls made"
missing
=
[
t
for
t
in
(
"get_trending_questions"
,
"search_mobile_apps"
)
if
t
not
in
names
]
if
missing
:
return
False
,
f"Missing expected tool calls:
{
missing
}
; got:
{
names
}
"
if
not
content
:
return
False
,
"No class suggestion produced"
return
True
,
f"Both discovery tools called:
{
names
}
"
# ---- Test 4: Multi-hostname geolocation filter (anonymized gallery discovery) ----
# Inspired by: checking gallery website server locations to find truly remote venues.
# Anonymized: galleryone.de → halle-eins.de, gallerytwo.fr → galerie-deux.fr,
# gallerythree.it → galleria-tre.it
_GEO_TOOLS
=
[
{
"type"
:
"function"
,
"function"
: {
"name"
:
"lookup_ip_geolocation"
,
"description"
: (
"Retrieve geolocation data for an IP address or hostname, including country, "
"city, coordinates, and network info. Useful for verifying physical server "
"locations or personalising regional content."
),
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"host"
: {
"type"
:
"string"
,
"description"
:
"IP address or hostname to look up (e.g. '8.8.8.8' or 'example.com')."
,
},
},
"required"
: [
"host"
],
},
},
},
]
# Mock: one urban (Berlin → discard), two rural (keep)
_GEO_RESPONSES
=
{
"halle-eins.de"
: {
"host"
:
"halle-eins.de"
,
"city"
:
"Berlin"
,
"country"
:
"DE"
,
"lat"
:
52.5200
,
"lon"
:
13.4050
,
"is_major_city"
:
True
,
},
"galerie-deux.fr"
: {
"host"
:
"galerie-deux.fr"
,
"city"
:
"Rocamadour"
,
"country"
:
"FR"
,
"lat"
:
44.7994
,
"lon"
:
1.6178
,
"is_major_city"
:
False
,
},
"galleria-tre.it"
: {
"host"
:
"galleria-tre.it"
,
"city"
:
"Matera"
,
"country"
:
"IT"
,
"lat"
:
40.6664
,
"lon"
:
16.6044
,
"is_major_city"
:
False
,
},
}
def
_geo_mock
(
args
):
host
=
args
.
get
(
"host"
,
""
)
return
json
.
dumps
(
_GEO_RESPONSES
.
get
(
host
, {
"error"
:
f"unknown host:
{
host
}
"
}))
GEO_TEST_CASE
=
{
"name"
:
"Gallery geolocation: filter urban venues, keep remote ones"
,
"messages"
: [
{
"role"
:
"user"
,
"content"
: (
"I have abstract paintings to exhibit in remote European galleries. "
"I received enquiries from three venues: halle-eins.de, galerie-deux.fr, "
"and galleria-tre.it. Please look up the geolocation of each website's server. "
"Discard any venue whose server is in a major city (e.g. Berlin, Paris, Rome). "
"For the remaining venues, report their exact coordinates so I can check "
"whether hiking trails are nearby — my work thrives where nature and art meet."
),
}
],
"tools"
:
_GEO_TOOLS
,
"mock_tool_responses"
: {
"lookup_ip_geolocation"
:
_geo_mock
,
},
"validate"
:
lambda
tcs
,
content
:
_validate_geo
(
tcs
,
content
),
}
def
_validate_geo
(
tcs
,
content
):
names
=
[
tc
[
"function"
][
"name"
]
for
tc
in
tcs
]
if
not
names
:
return
False
,
"No tool calls made"
# Expect exactly one geolocation call per domain (3 total)
geo_calls
=
[
tc
for
tc
in
tcs
if
tc
[
"function"
][
"name"
]
==
"lookup_ip_geolocation"
]
if
len
(
geo_calls
)
<
3
:
return
(
False
,
f"Expected geolocation called 3 times (once per domain), got
{
len
(
geo_calls
)
}
"
,
)
queried_hosts
=
set
()
for
tc
in
geo_calls
:
try
:
args
=
json
.
loads
(
tc
[
"function"
][
"arguments"
])
host
=
args
.
get
(
"host"
,
""
)
if
not
host
:
return
False
,
f"lookup_ip_geolocation called with empty host:
{
args
}
"
queried_hosts
.
add
(
host
)
except
json
.
JSONDecodeError
:
return
False
,
"lookup_ip_geolocation arguments are not valid JSON"
expected
=
{
"halle-eins.de"
,
"galerie-deux.fr"
,
"galleria-tre.it"
}
if
not
expected
.
issubset
(
queried_hosts
):
return
(
False
,
f"Not all domains queried. Expected
{
expected
}
, got
{
queried_hosts
}
"
,
)
if
not
content
:
return
False
,
"No final summary produced"
return
True
,
f"All 3 domains geolocated:
{
sorted
(
queried_hosts
)
}
"
# ---- Test 5: EV fleet expansion — stock → security → property → video ----
# Inspired by: multi-step business analysis combining finance, cybersecurity,
# real estate and educational content.
# Anonymized: Tesla → Voltara (VLTR), Rivian → Rivex (RVXN),
# Trenton → Halverton
_EV_TOOLS
=
[
{
"type"
:
"function"
,
"function"
: {
"name"
:
"get_stock_quote"
,
"description"
:
"Retrieve the latest market quote for a financial instrument by ticker symbol."
,
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"symbol"
: {
"type"
:
"string"
,
"description"
:
"Ticker symbol (e.g. 'VLTR', 'RVXN')"
,
},
"interval"
: {
"type"
:
"string"
,
"description"
:
"Time interval: 1min, 5min, 1h, 1day, 1week"
,
"default"
:
"1day"
,
},
},
"required"
: [
"symbol"
],
},
},
},
{
"type"
:
"function"
,
"function"
: {
"name"
:
"get_security_advisories"
,
"description"
: (
"Fetch current cybersecurity advisories from the national security agency, "
"covering known vulnerabilities and exploits for industrial and consumer systems."
),
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"keyword"
: {
"type"
:
"string"
,
"description"
:
"Filter advisories by keyword or product name"
,
},
"limit"
: {
"type"
:
"integer"
,
"description"
:
"Maximum number of advisories to return"
,
"default"
:
5
,
},
},
"required"
: [],
},
},
},
{
"type"
:
"function"
,
"function"
: {
"name"
:
"search_commercial_properties"
,
"description"
:
"Search for commercial properties (offices, garages, warehouses) available for rent or sale in a given city."
,
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"city"
: {
"type"
:
"string"
,
"description"
:
"City name to search in"
},
"property_type"
: {
"type"
:
"string"
,
"description"
:
"Type of property: office, garage, warehouse, premises"
,
},
"operation"
: {
"type"
:
"string"
,
"enum"
: [
"rent"
,
"sale"
],
"default"
:
"rent"
,
},
"max_price"
: {
"type"
:
"integer"
,
"description"
:
"Maximum monthly rent or sale price"
,
},
},
"required"
: [
"city"
,
"property_type"
],
},
},
},
{
"type"
:
"function"
,
"function"
: {
"name"
:
"get_video_recommendations"
,
"description"
:
"Fetch a list of recommended videos related to a given topic or reference video."
,
"parameters"
: {
"type"
:
"object"
,
"properties"
: {
"topic"
: {
"type"
:
"string"
,
"description"
:
"Topic or keyword to search for related videos"
,
},
},
"required"
: [
"topic"
],
},
},
},
]
_STOCK_RESULT_VLTR
=
{
"symbol"
:
"VLTR"
,
"company"
:
"Voltara Inc."
,
"price"
:
218.45
,
"change_pct"
:
"+2.3%"
,
"market_cap"
:
"694B"
,
"currency"
:
"USD"
,
}
_STOCK_RESULT_RVXN
=
{
"symbol"
:
"RVXN"
,
"company"
:
"Rivex Motors"
,
"price"
:
12.80
,
"change_pct"
:
"-1.1%"
,
"market_cap"
:
"11B"
,
"currency"
:
"USD"
,
}
_ADVISORIES_RESULT
=
{
"count"
:
2
,
"advisories"
: [
{
"id"
:
"ICSA-24-102-01"
,
"title"
:
"Voltara In-Vehicle Infotainment System Authentication Bypass"
,
"severity"
:
"Medium"
,
"summary"
:
"Improper authentication in the OTA update module may allow an adjacent attacker to install unsigned firmware."
,
"published"
:
"2024-04-11"
,
},
{
"id"
:
"ICSA-24-085-03"
,
"title"
:
"Voltara Charging Management API Input Validation Flaw"
,
"severity"
:
"Low"
,
"summary"
:
"Insufficient input validation in the charging session API could expose internal error messages."
,
"published"
:
"2024-03-26"
,
},
],
}
_PROPERTIES_RESULT
=
{
"city"
:
"Halverton"
,
"listings"
: [
{
"id"
:
"HV-0041"
,
"type"
:
"garage"
,
"area_sqm"
:
420
,
"monthly_rent"
:
2800
,
"ev_power_outlets"
:
12
,
"address"
:
"14 Ironworks Lane, Halverton"
,
},
{
"id"
:
"HV-0089"
,
"type"
:
"warehouse"
,
"area_sqm"
:
900
,
"monthly_rent"
:
4200
,
"ev_power_outlets"
:
30
,
"address"
:
"7 Depot Road, Halverton"
,
},
],
}
_VIDEOS_RESULT
=
{
"topic"
:
"fleet electrification"
,
"recommendations"
: [
{
"title"
:
"How to Build an EV Fleet from Scratch"
,
"channel"
:
"Fleet Future"
,
"views"
:
"182K"
,
},
{
"title"
:
"EV Charging Infrastructure for Commercial Fleets"
,
"channel"
:
"GreenDrive Pro"
,
"views"
:
"94K"
,
},
{
"title"
:
"Total Cost of Ownership: Electric vs Diesel Vans"
,
"channel"
:
"LogisticsTech"
,
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