run · run_1e9o1bkd3rkb3n6u

smolagents-claude

Ruqii/trapstreet-solutions/smolagents-claude@80cb002

on Legal Contract Review

total score

0.158

engine

claude-opus-4-7 + smolagents

cases

3 passed · 16 failed

latency

213.63s

cost

$6.150

submitted

2026-05-24 08:04:51

Run summary

score
0.158
passed
total cases
19
passed cases
3
skipped cases
0
pass threshold
0.800
tokens total
null
cost total
$6.150
latency p95
17.84 s
latency total
213.63 s
latency median
10.56 s

score by category

dates
100%
money
14%
clauses
0%
deposit
0%
scenario
100%
scenario_reasoning
0%

extras

n_scored=19n_skipped_no_gold=0

Per-case results

3 pass16 fail

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Does the tenancy agreement include a contractual break clause allowing the │ │ tenant to end the tenancy early without landlord discretion? Answer yes or │ │ no. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("Does the agreement contain a break clause allowing the tenant to end the tenancy early before the fixed term ends? Quote the relevant clause if present.") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: No. The agreement explicitly states the opposite in the "Warning" special clause: *"For the avoidance of doubt, the parties reiterate that this is a fixed-term tenancy agreement where the Landlord has no obligation whatsoever to agree to a request by the Tenant for early termination or surrender."* Out: None [Step 1: Duration 6.73 seconds| Input tokens: 3,590 | Output tokens: 72] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("no") ────────────────────────────────────────────────────────────────────────────── Final answer: no [Step 2: Duration 1.50 seconds| Input tokens: 7,508 | Output tokens: 87] no

expected

no
id
break_clause
type
boolean
model
claude-opus-4-7
category
clauses
usd_cost
$0.246
difficulty
medium
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object]
tool_input_tokens
55
tool_output_tokens
104
agent_planning_input_tokens
7,508
agent_planning_output_tokens
87
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ What is the deposit amount in GBP? │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("What is the deposit amount in GBP?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: £2,250.00 Out: None [Step 1: Duration 7.97 seconds| Input tokens: 3,554 | Output tokens: 37] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("£2,250.00") ────────────────────────────────────────────────────────────────────────────── Final answer: £2,250.00 [Step 2: Duration 4.62 seconds| Input tokens: 7,272 | Output tokens: 57] £2,250.00

expected

2250
id
deposit_amount
type
numeric
model
claude-opus-4-7
category
money
usd_cost
$0.232
difficulty
easy
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object]
tool_input_tokens
20
tool_output_tokens
10
agent_planning_input_tokens
7,272
agent_planning_output_tokens
57
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ What happens if the Tenant disputes the proposed deposit deductions and the │ │ dispute remains unresolved after reasonable attempts to resolve it? │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── answer = read_pdf("What happens if the Tenant disputes the proposed deposit deductions and the dispute remains unresolved after reasonable attempts to resolve it? What is the procedure?") print(answer) ────────────────────────────────────────────────────────────────────────────── Execution logs: If the dispute remains unresolved after the Tenant notifies the Landlord in writing (within 10 working days of receiving details of the proposed deductions) and reasonable attempts have been made to resolve differences, the dispute will be submitted to the Independent Case Examiner (ICE) of The Dispute Service for adjudication, with all parties agreeing to co-operate. Out: None [Step 1: Duration 6.80 seconds| Input tokens: 3,588 | Output tokens: 103] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("The dispute will be referred to the Independent Case Examiner (ICE) of The Dispute Service for adjudication, with all parties agreeing to co-operate with the adjudication.") ────────────────────────────────────────────────────────────────────────────── Final answer: The dispute will be referred to the Independent Case Examiner (ICE) of The Dispute Service for adjudication, with all parties agreeing to co-operate with the adjudication. [Step 2: Duration 1.86 seconds| Input tokens: 7,561 | Output tokens: 175] The dispute will be referred to the Independent Case Examiner (ICE) of The Dispute Service for adjudication, with all parties agreeing to co-operate with the adjudication.

expected

The dispute may be submitted to the Independent Case Examiner (ICE) for adjudication.
id
deposit_dispute_escalation
type
text
model
claude-opus-4-7
category
deposit
usd_cost
$0.255
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object]
tool_input_tokens
61
tool_output_tokens
124
agent_planning_input_tokens
7,561
agent_planning_output_tokens
175
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Which tenancy deposit protection scheme is the deposit registered with? │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("Which tenancy deposit protection scheme is the deposit registered with?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: The deposit is registered with The Dispute Service Limited (Tenancy Deposit Scheme). Out: None [Step 1: Duration 6.40 seconds| Input tokens: 3,564 | Output tokens: 47] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("The Dispute Service Limited (Tenancy Deposit Scheme).") ────────────────────────────────────────────────────────────────────────────── Final answer: The Dispute Service Limited (Tenancy Deposit Scheme). [Step 2: Duration 1.83 seconds| Input tokens: 7,339 | Output tokens: 86] The Dispute Service Limited (Tenancy Deposit Scheme).

expected

TDS
id
deposit_scheme
type
text
model
claude-opus-4-7
category
clauses
usd_cost
$0.238
difficulty
medium
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object]
tool_input_tokens
30
tool_output_tokens
37
agent_planning_input_tokens
7,339
agent_planning_output_tokens
86
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Can the tenant request an early surrender of the tenancy subject to landlord │ │ approval and associated costs? Answer yes or no. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("Does the agreement allow the tenant to request early surrender of the tenancy subject to landlord approval and payment of associated costs? Quote the relevant clause if present.") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: Yes. The agreement explicitly addresses this under the "Warning" section of the Special Clauses (Issue 1): "For the avoidance of doubt, the parties reiterate that this is a fixed-term tenancy agreement where the Landlord has no obligation whatsoever to agree to a request by the Tenant for early termination or surrender. Any such agreement by the Landlord, if given, will be subject to the Tenant being responsible for a fair proportion of the Landlord's costs incurred in entering into this Tenancy agreement and other fair and reasonable costs assessed in each case." Out: None [Step 1: Duration 7.36 seconds| Input tokens: 3,581 | Output tokens: 77] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("Yes") ────────────────────────────────────────────────────────────────────────────── Final answer: Yes [Step 2: Duration 1.56 seconds| Input tokens: 7,592 | Output tokens: 94] Yes

expected

yes
id
early_surrender
type
boolean
model
claude-opus-4-7
category
clauses
usd_cost
$0.255
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object]
tool_input_tokens
60
tool_output_tokens
196
agent_planning_input_tokens
7,592
agent_planning_output_tokens
94
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Per Section 6 of the agreement, if a tenant surrenders early and the │ │ Landlord finds a replacement tenant who pays a HIGHER rent than the │ │ surrendering tenant's rate, does the surrendering tenant receive any benefit │ │ (e.g. a refund or credit) from the increased rent? Answer yes or no and │ │ explain briefly. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("In Section 6, regarding early surrender of the tenancy, if a replacement tenant is found who pays a higher rent than the surrendering tenant's rate, does the surrendering tenant receive any refund, credit, or benefit from the increased rent? Quote the relevant clause.") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: No. The clause only addresses the situation where the replacement tenant pays a *lower* rent; there is no provision for any refund, credit, or benefit to the surrendering tenant if the replacement tenant pays a higher rent. The relevant clause states: "Any difference in rental payments that the outgoing Tenant should have paid **to the extent that the replacement Tenant will be paying a lower amount**." This is reiterated in the working example: "Any difference in your agreed rent and the new Tenant's rent, **to the extent that the replacement Tenant will be paying a lower amount**, for the period from when new Tenants take possession to the end of your Tenancy." Out: None [Step 1: Duration 9.01 seconds| Input tokens: 3,651 | Output tokens: 143] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("No. Section 6 only requires the surrendering tenant to top up any shortfall if the replacement tenant pays a lower rent; it contains no provision for refund, credit, or benefit if the replacement tenant pays a higher rent.") ────────────────────────────────────────────────────────────────────────────── Final answer: No. Section 6 only requires the surrendering tenant to top up any shortfall if the replacement tenant pays a lower rent; it contains no provision for refund, credit, or benefit if the replacement tenant pays a higher rent. [Step 2: Duration 2.73 seconds| Input tokens: 7,859 | Output tokens: 232] No. Section 6 only requires the surrendering tenant to top up any shortfall if the replacement tenant pays a lower rent; it contains no provision for refund, credit, or benefit if the replacement tenant pays a higher rent.

expected

no
id
early_surrender_economic_incentive
type
boolean
model
claude-opus-4-7
category
scenario_reasoning
usd_cost
$0.271
difficulty
expert
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object],[object Object]
tool_input_tokens
97
tool_output_tokens
218
agent_planning_input_tokens
7,859
agent_planning_output_tokens
232
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ If the tenant wants to leave exactly at the end of the fixed term, is notice │ │ required? Answer yes or no. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("Does the tenant need to give notice to leave at the end of the fixed term? What does the agreement say about ending the tenancy at the end of the fixed term?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: Yes. The agreement states that if the Tenant intends to vacate at the end of the fixed Term, the Tenant must give the Landlord at least two clear months' prior notice in writing. If the Tenant fails to vacate or sign a new tenancy agreement, the agreement will automatically extend for a further period of six months, with the rent increasing by 5%; during that extended six-month period the Tenant may end the tenancy by giving not less than two months' notice in writing. Out: None [Step 1: Duration 7.69 seconds| Input tokens: 3,577 | Output tokens: 100] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("yes") ────────────────────────────────────────────────────────────────────────────── Final answer: yes [Step 2: Duration 1.48 seconds| Input tokens: 7,561 | Output tokens: 116] yes

expected

yes
id
fixed_term_departure_notice
type
boolean
model
claude-opus-4-7
category
clauses
usd_cost
$0.253
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object]
tool_input_tokens
56
tool_output_tokens
154
agent_planning_input_tokens
7,561
agent_planning_output_tokens
116
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Which Act of Parliament is cited in the agreement as governing this Assured │ │ Shorthold Tenancy? Answer with the Act name and year as written (e.g. │ │ 'Housing Act 1988'). │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── answer = read_pdf("Which Act of Parliament is cited as governing this Assured Shorthold Tenancy? Give the exact name and year as written.") print(answer) ────────────────────────────────────────────────────────────────────────────── Execution logs: Housing Act 1988. Out: None [Step 1: Duration 4.64 seconds| Input tokens: 3,604 | Output tokens: 65] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("Housing Act 1988") ────────────────────────────────────────────────────────────────────────────── Final answer: Housing Act 1988 [Step 2: Duration 1.48 seconds| Input tokens: 7,431 | Output tokens: 87] Housing Act 1988

expected

Housing Act 1988
id
governing_act
type
text
model
claude-opus-4-7
category
clauses
usd_cost
$0.238
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object]
tool_input_tokens
48
tool_output_tokens
13
agent_planning_input_tokens
7,431
agent_planning_output_tokens
87
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Has the tenant been told that an inventory or schedule of condition may be │ │ used to assess damage claims at the end of the tenancy? Answer yes or no. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("Does the agreement mention that an inventory or schedule of condition may be used to assess damage claims at the end of the tenancy?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: Yes, the agreement states that the Inventory and/or Schedule of Condition may subsequently be relied upon at the end of the Tenancy in assessing damage or compensation for damage over and above fair wear and tear. Out: None [Step 1: Duration 4.97 seconds| Input tokens: 3,589 | Output tokens: 64] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("yes") ────────────────────────────────────────────────────────────────────────────── Final answer: yes [Step 2: Duration 1.51 seconds| Input tokens: 7,460 | Output tokens: 80] yes

expected

yes
id
inventory_referenced
type
boolean
model
claude-opus-4-7
category
clauses
usd_cost
$0.242
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object]
tool_input_tokens
47
tool_output_tokens
74
agent_planning_input_tokens
7,460
agent_planning_output_tokens
80
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ What interest rate applies to late rent payments? Answer as written in the │ │ agreement (e.g. '3% above Bank of England base rate'), or 'N/A' if not │ │ specified. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("What interest rate applies to late rent payments? Quote the exact wording from the agreement.") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: "interest at the rate of 3% per annum above the Bank of England base rate from time to time on any rent or other money payable under this Agreement remaining unpaid for more than 14 days after the day on which it became due." Out: None [Step 1: Duration 5.02 seconds| Input tokens: 3,596 | Output tokens: 52] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("3% per annum above the Bank of England base rate") ────────────────────────────────────────────────────────────────────────────── Final answer: 3% per annum above the Bank of England base rate [Step 2: Duration 1.75 seconds| Input tokens: 7,446 | Output tokens: 81] 3% per annum above the Bank of England base rate

expected

3% per annum above Bank of England base rate
id
late_rent_interest_rate
type
text
model
claude-opus-4-7
category
money
usd_cost
$0.242
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object],[object Object]
tool_input_tokens
35
tool_output_tokens
70
agent_planning_input_tokens
7,446
agent_planning_output_tokens
81
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Are pets permitted in the property? Answer yes, no, or 'with landlord │ │ consent'. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("Are pets permitted in the property? Is keeping pets allowed, prohibited, or only with landlord's consent?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: Pets are only allowed with the Landlord's prior written consent, such consent not to be unreasonably withheld, delayed, or withdrawn. Out: None [Step 1: Duration 5.14 seconds| Input tokens: 3,571 | Output tokens: 61] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("with landlord consent") ────────────────────────────────────────────────────────────────────────────── Final answer: with landlord consent [Step 2: Duration 1.57 seconds| Input tokens: 7,397 | Output tokens: 81] with landlord consent

expected

with landlord consent
id
pets_allowed
type
text
model
claude-opus-4-7
category
clauses
usd_cost
$0.240
difficulty
medium
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object],[object Object]
tool_input_tokens
44
tool_output_tokens
51
agent_planning_input_tokens
7,397
agent_planning_output_tokens
81
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ What happens if the tenant remains in the property after the fixed term │ │ without signing a new tenancy agreement? │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("What happens if the tenant remains in the property after the end of the fixed term without signing a new tenancy agreement? Does it become a statutory periodic tenancy or similar?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: No. If the tenant fails to vacate at the expiration of the term or fails to sign a new tenancy agreement for a further term, this agreement will automatically extend for a further period of six months from the expiration of the term, with the rent increasing by 5%; during that extended six-month period the tenant has the right to end the tenancy by giving the landlord not less than two months' notice in writing. Out: None [Step 1: Duration 7.21 seconds| Input tokens: 3,573 | Output tokens: 127] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("The agreement automatically extends for a further six months from the expiration of the term, with rent increasing by 5%; during that extended period the tenant may end the tenancy by giving the landlord not less than two months' written notice.") ────────────────────────────────────────────────────────────────────────────── Final answer: The agreement automatically extends for a further six months from the expiration of the term, with rent increasing by 5%; during that extended period the tenant may end the tenancy by giving the landlord not less than two months' written notice. [Step 2: Duration 2.06 seconds| Input tokens: 7,555 | Output tokens: 208] The agreement automatically extends for a further six months from the expiration of the term, with rent increasing by 5%; during that extended period the tenant may end the tenancy by giving the landlord not less than two months' written notice.

expected

the tenancy automatically extends for six months
id
post_fixed_term_extension
type
text
model
claude-opus-4-7
category
clauses
usd_cost
$0.257
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object]
tool_input_tokens
61
tool_output_tokens
124
agent_planning_input_tokens
7,555
agent_planning_output_tokens
208
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ Does the 5% rent increase apply during the original fixed term, the │ │ automatic extension period, or both? │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── answer = read_pdf("Does the 5% rent increase clause apply during the original fixed term, the automatic extension period, or both? When does the rent increase take effect?") print(answer) ────────────────────────────────────────────────────────────────────────────── Execution logs: The 5% rent increase applies **only during the automatic six-month extension period**, which takes effect if the Tenant fails to vacate or sign a new tenancy agreement at the expiration of the fixed term. Note: The original fixed term has its own separate, specified rent increases (to £2,100 pcm from 05/09/2023 and to £2,400 pcm from 05/09/2024), not a 5% increase. Out: None [Step 1: Duration 6.99 seconds| Input tokens: 3,572 | Output tokens: 94] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("Only during the automatic extension period.") ────────────────────────────────────────────────────────────────────────────── Final answer: Only during the automatic extension period. [Step 2: Duration 1.80 seconds| Input tokens: 7,524 | Output tokens: 119] Only during the automatic extension period.

expected

the automatic extension period only
id
rent_increase_scope
type
text
model
claude-opus-4-7
category
money
usd_cost
$0.251
difficulty
hard
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object],[object Object]
tool_input_tokens
51
tool_output_tokens
138
agent_planning_input_tokens
7,524
agent_planning_output_tokens
119
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ On what day of the month is the rent payable? │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("On what day of the month is the rent payable?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: The rent is payable on or prior to the 5th of the month. Out: None [Step 1: Duration 4.85 seconds| Input tokens: 3,554 | Output tokens: 37] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer("5th") ────────────────────────────────────────────────────────────────────────────── Final answer: 5th [Step 2: Duration 1.69 seconds| Input tokens: 7,285 | Output tokens: 53] 5th

expected

on or prior 5th of the month
id
rent_payment_day
type
text
model
claude-opus-4-7
category
money
usd_cost
$0.233
difficulty
medium
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object],[object Object],[object Object]
tool_input_tokens
20
tool_output_tokens
23
agent_planning_input_tokens
7,285
agent_planning_output_tokens
53
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ What is the monthly rent in GBP for the second 12 months of the tenancy │ │ (months 13-24)? │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("What is the monthly rent for months 13-24 (the second year) of the tenancy? Provide the GBP amount.") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: £2,100.00 per calendar month. Out: None [Step 1: Duration 7.10 seconds| Input tokens: 3,574 | Output tokens: 61] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer(2100) ────────────────────────────────────────────────────────────────────────────── Final answer: 2100 [Step 2: Duration 1.57 seconds| Input tokens: 7,367 | Output tokens: 77] 2100

expected

2100
id
rent_year2
type
numeric
model
claude-opus-4-7
category
money
usd_cost
$1.594
difficulty
medium
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object]
tool_input_tokens
44
tool_output_tokens
17
agent_planning_input_tokens
7,367
agent_planning_output_tokens
77
tool_cache_read_input_tokens
0
tool_cache_creation_input_tokens
78,706

answer

╭────────────────────────────────── New run ───────────────────────────────────╮ │ │ │ You answer one question about a UK Assured Shorthold Tenancy (AST) │ │ agreement. │ │ │ │ You have: │ │ - read_pdf(question): ask focused questions about the document, get short │ │ answers back │ │ - Python: compute arithmetic, format numbers, parse dates, double-check │ │ answers │ │ │ │ Rules: │ │ - Answer ONLY based on what the document says — no general knowledge │ │ fill-in. │ │ - Answer the question literally and completely. Multi-part questions get all │ │ parts answered. │ │ - Follow any format constraint stated (DD/MM/YYYY, yes/no, GBP amount, 'N/A' │ │ if not specified, etc.). │ │ - Do not hedge. Do not say "I cannot determine" if the answer is in the │ │ document. │ │ - Be terse: one short sentence is usually right. Numbers should be just the │ │ number unless asked for currency formatting. │ │ - For scenario questions requiring arithmetic, extract values via read_pdf, │ │ compute in Python, show the calculation, then give the final number. │ │ - Stop as soon as you have the answer. Do not over-extract. │ │ │ │ Question: │ │ What is the monthly rent in GBP for the third 12 months of the tenancy │ │ (months 25-36)? Answer 'N/A' if the fixed term is shorter than 36 months. │ │ │ ╰─ LiteLLMModel - anthropic/claude-opus-4-7 ───────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── ans = read_pdf("What is the length of the fixed term of the tenancy, and what is the monthly rent for each year? Specifically, is there a rent for months 25-36 (the third year)?") print(ans) ────────────────────────────────────────────────────────────────────────────── Execution logs: The fixed term is 36 months. The rent is £1,950.00 pcm for year 1, increases to £2,100.00 pcm from 05/09/2023 to 04/09/2024 (year 2), and increases to £2,400.00 pcm from 05/09/2024 to 04/09/2025 (year 3, months 25–36). Out: None [Step 1: Duration 6.38 seconds| Input tokens: 3,599 | Output tokens: 77] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ─ Executing parsed code: ───────────────────────────────────────────────────── final_answer(2400) ────────────────────────────────────────────────────────────────────────────── Final answer: 2400 [Step 2: Duration 1.61 seconds| Input tokens: 7,545 | Output tokens: 93] 2400

expected

2400
id
rent_year3
type
numeric
model
claude-opus-4-7
category
money
usd_cost
$0.248
difficulty
medium
tool_calls
1
agent_framework
smolagents
matcher_results
[object Object]
tool_input_tokens
60
tool_output_tokens
113
agent_planning_input_tokens
7,545
agent_planning_output_tokens
93
tool_cache_read_input_tokens
78,706
tool_cache_creation_input_tokens
0
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