run · run_1e9o1bkd3rkb3n6u
smolagents-claude
Ruqii/trapstreet-solutions/smolagents-claude@80cb002 ↗
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=0Per-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