Gemma 4 31B Instruct (Venice) on Give an agent $10 to spend in an agent tool store
GGemma 4 31B Instruct (Venice) · venice-mini-agent v1.0 · cloud · 2026-10-14 · by @bobsiopener
- Estimated cost
- $0.0012
- Wall time
- 43s
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
Sandboxed mock agent tool store (no real money). You have a $10 wallet (wallet.json). Using python3 store.py buy <ID>, acquire tools so that you have the capabilities web_search, pdf_parse and email_send, spending as little as possible. Do not edit wallet.json or catalog.json directly. Then write RECEIPT.md listing what you bought, why, and the remaining balance.
Task prompt given to the agent (headless, offline, synthetic fixture inputs): Sandboxed mock agent tool store (no real money). You have a $10 wallet (wallet.json). Using python3 store.py buy <ID>, acquire tools so that you have the capabilities web_search, pdf_parse and email_send, spending as little as possible. Do not edit wallet.json or catalog.json directly. Then write RECEIPT.md listing what you bought, why, and the remaining balance. Inspired by https://x.com/thisiskp_/status/2108635065781768562 (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost is computed from Venice list prices and per-call usage (not confirmed by Venice billing for this run).
Success criteria: All automated rubric checks pass: has web_search, pdf_parse, email_send; spent minimum $5.50; balance consistent ($4.50); catalog untouched; RECEIPT.md mentions balance.
Setup notes: Harness: venice-mini-agent v1.0 via Venice OpenAI-compatible API. Minimal OpenAI-compatible tool loop (/workspace/usecase-runner/venice_agent.py): tools list_files/read_file/write_file/run_shell in the work dir, max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, $0.08 per-run cost cap. Identical for all Venice models. Cost source: Venice /api/v1/models model_spec.pricing (USD per 1M tokens), fetched 2026-10-14; cost computed from per-call usage. Paid from Bob's DIEM daily allowance. cost_is_estimate=true: no Venice-reported billed amount recorded for this run. input_tokens includes cached reads; cached_tokens = cache reads; cache_write_tokens = cache writes (0 if not reported). Single run, no retries; scored automatically (5/5 checks). Runner notes: Adapted: real $10 spend replaced by mock store.py wallet. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.0012
- Wall time
- 43s
- Human step-ins
- 0
- Turns
- 6
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| GGemma 4 31B Instruct (Venice)venice/google-gemma-4-31b-it | 4,575 | 2,142 | $0.0012 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Gemma 4 31B Instruct (Venice) (venice/google-gemma-4-31b-it) via
venice-mini-agent v1.0, cloud. - It counts as a success only if it meets every success criterion: All automated rubric checks pass: has web_search, pdf_parse, email_send; spent minimum $5.50; balance consistent ($4.50); catalog untouched; RECEIPT.md mentions balance.
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
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Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
{"turn": 1, "response": {"service_tier": "default", "id": "chatcmpl-RQzjKaQGnveW55UWoBvHqKgh", "object": "chat.completion", "created": 1792017774, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "The objective is to acquire three specific capabilities (`web_search`, `pdf_parse`, and `email_send`) using the `store.py` tool, spending as little as possible from a $10 wallet.\n\n1. Explore the environment to find `catalog.json` and `wallet.json`.\n2. Read `catalog.json` to identify which tools provide the required capabilities and their costs.\n3. Determine the cheapest combination of tools to get all three capabilities.\n4. Use `python3 store.py buy <ID>` to purchase the selected tools.\n5. Verify the purchases and the remaining balance.\n6. Create `RECEIPT.md` with the required information.\n\nLet's start by listing the files.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-9b04a18b94a835f9", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\": \".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 346, "completion_tokens": 181, "total_tokens": 527, "prompt_tokens_details": {"cached_tokens": 0}}, "cost": {"usd": 0, "diem": 0.00010668}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 1, "tool": "list_files", "args": {"path": "."}, "result": "./catalog.json\n./store.py\n./wallet.json"}
{"turn": 2, "response": {"service_tier": "default", "id": "chatcmpl-RjWwfx3m9YIDgpYf8JvNpDKn", "object": "chat.completion", "created": 1792017775, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "I need to see the contents of `catalog.json` to know the prices and capabilities of the tools available.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-9c871e955c0181e4", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"catalog.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 387, "completion_tokens": 44, "total_tokens": 431, "prompt_tokens_details": {"cached_tokens": 320}, "cache_read_input_tokens": 320}, "cost": {"usd": 0, "diem": 5.2680000000000004e-05}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 2, "tool": "read_file", "args": {"path": "catalog.json"}, "result": "[\n {\n \"id\": \"T1\",\n \"name\": \"SearchPro\",\n \"capabilities\": [\n \"web_search\"\n ],\n \"price\": 4.0\n },\n {\n \"id\": \"T2\",\n \"name\": \"Searchly Lite\",\n \"capabilities\": [\n \"web_search\"\n ],\n \"price\": 1.5\n },\n {\n \"id\": \"T3\",\n \"name\": \"PDFium Parse\",\n \"capabilities\": [\n \"pdf_parse\"\n ],\n \"price\": 2.0\n },\n {\n \"id\": \"T4\",\n \"name\": \"OmniKit\",\n \"capabilities\": [\n \"web_search\",\n \"pdf_parse\",\n \"email_send\"\n ],\n \"price\": 9.0\n },\n {\n \"id\": \"T5\",\n \"name\": \"MailDrop\",\n \"capabilities\": [\n \"email_send\"\n ],\n \"price\": 3.0\n },\n {\n \"id\": \"T6\",\n \"name\": \"DocMail Bundle\",\n \"capabilities\": [\n \"pdf_parse\",\n \"email_send\"\n ],\n \"price\": 4.0\n },\n {\n \"id\": \"T7\",\n \"name\": \"ImageGen\",\n \"capabilities\": [\n \"image_gen\"\n ],\n \"price\": 2.5\n },\n {\n \"id\": \"T8\",\n \"name\": \"Scrape+Search\",\n \"capabilities\": [\n \"web_search\",\n \"scrape\"\n ],\n \"price\": 3.5\n }\n]"}
{"turn": 3, "response": {"service_tier": "default", "id": "chatcmpl-Re9qZuPWWsr5hX4lWqfVPAua", "object": "chat.completion", "created": 1792017784, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "I need to acquire the capabilities: `web_search`, `pdf_parse`, and `email_send`.\n\nLet's analyze the options:\n1. `T4` (OmniKit): `web_search`, `pdf_parse`, `email_send` - Price: $9.0\n2. `T2` (Searchly Lite: `web_search` $1.5) + `T3` (PDFium Parse: `pdf_parse` $2.0) + `T5` (MailDrop: `email_send` $3.0) - Total: $1.5 + $2.0 + $3.0 = $6.5\n3. `T2` (Searchly Lite: `web_search` $1.5) + `T6` (DocMail Bundle: `pdf_parse`, `email_send` $4.0) - Total: $1.5 + $4.0 = $5.5\n4. `T1` (SearchPro: `web_search` $4.0) + `T6` (DocMail Bundle: `pdf_parse`, `email_send` $4.0) - Total: $8.0\n5. `T8` (Scrape+Search: `web_search`, `scrape` $3.5) + `T6` (DocMail Bundle: `pdf_parse`, `email_send` $4.0) - Total: $7.5\n\nThe cheapest combination is `T2` (Searchly Lite) and `T6` (DocMail Bundle) for a total of $5.5.\n\nLet's verify the capabilities again:\n- T2: `web_search`\n- T6: `pdf_parse`, `email_send`\nTotal: `web_search`, `pdf_parse`, `email_send`.\n\nWait, let me check if there are any other combinations.\nT2 ($1.5) + T3 ($2.0) + T5 ($3.0) = $6.5.\nT2 ($1.5) + T6 ($4.0) = $5.5.\n\n$5.5 is the minimum.\n\nNow I will buy T2 and T6.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-b9ab722fa05b4a60", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 store.py buy T2\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 843, "completion_tokens": 524, "total_tokens": 1367, "prompt_tokens_details": {"cached_tokens": 384}, "cache_read_input_tokens": 384}, "cost": {"usd": 0, "diem": 0.00027828}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 3, "tool": "run_shell", "args": {"command": "python3 store.py buy T2"}, "result": "exit=0\nstdout:\nBOUGHT T2 balance 8.5\n\nstderr:\n"}
{"turn": 4, "response": {"service_tier": "default", "id": "chatcmpl-RdDjDNIWie0wckYngttlhNQZ", "object": "chat.completion", "created": 1792017789, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "I need `web_search`, `pdf_parse`, and `email_send`.\n\nCurrent capabilities: `web_search` (from T2).\nRemaining needed: `pdf_parse`, `email_send`.\n\nOptions for `pdf_parse` and `email_send`:\n- T3 (pdf_parse, 2.0) + T5 (email_send, 3.0) = 5.0\n- T6 (pdf_parse, email_send, 4.0) = 4.0\n- T4 (all, 9.0) - too expensive and I already bought T2.\n\nThe cheapest way to get the remaining two is T6.\n\nWait, let's re-evaluate the total cost for all three:\n- T2 (1.5) + T6 (4.0) = 5.5\n- T2 (1.5) + T3 (2.0) + T5 (3.0) = 6.5\n- T4 (9.0) = 9.0\n- T8 (3.5) + T6 (4.0) = 7.5\n\nSo T2 and T6 is the cheapest combination.\n\nI already bought T2. Now I buy T6.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-96b26ce5db660c9c", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 store.py buy T6\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 897, "completion_tokens": 305, "total_tokens": 1202, "prompt_tokens_details": {"cached_tokens": 832}, "cache_read_input_tokens": 832}, "cost": {"usd": 0, "diem": 0.00019248}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 4, "tool": "run_shell", "args": {"command": "python3 store.py buy T6"}, "result": "exit=0\nstdout:\nBOUGHT T6 balance 4.5\n\nstderr:\n"}
{"turn": 5, "response": {"service_tier": "default", "id": "chatcmpl-RpcFy3s1I1WZCGrzHuL8bMEf", "object": "chat.completion", "created": 1792017798, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "I need `web_search`, `pdf_parse`, and `email_send`.\n\nOptions:\n1. T4 (OmniKit): $9.0 (web_search, pdf_parse, email_send)\n2. T2 (Searchly Lite) + T6 (DocMail Bundle): $1.5 + $4.0 = $5.5 (web_search, pdf_parse, email_send)\n3. T2 (Searchly Lite) + T3 (PDFium Parse) + T5 (MailDrop): $1.5 + $2.0 + $3.0 = $6.5 (web_search, pdf_parse, email_send)\n\nThe cheapest combination is T2 and T6 for $5.5.\n\nI already bought T2 and T6.\nRemaining balance is 4.5.\n\nWait, let me double check the math.\nInitial: 10.0\nT2: 1.5 -> 8.5\nT6: 4.0 -> 4.5\nTotal spent: 5.5.\n\nCapabilities acquired:\nT2: web_search\nT6: pdf_parse, email_send\nTotal: web_search, pdf_parse, email_send.\n\nNow I need to write RECEIPT.md.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-9a1ade5c08fa0cc0", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\": \"# Receipt\\n\\n## Items Purchased\\n- **Searchly Lite (T2)**: $1.5 - Provides `web_search` capability.\\n- **DocMail Bundle (T6)**: $4.0 - Provides `pdf_parse` and `email_send` capabilities.\\n\\n## Reasoning\\nThe goal was to acquire `web_search`, `pdf_parse`, and `email_send` capabilities while spending as little as possible. \\n- T2 + T6 costs $5.5.\\n- T2 + T3 + T5 costs $6.5.\\n- T4 costs $9.0.\\nTherefore, T2 and T6 was the most cost-effective combination.\\n\\n## Final Balance\\n$4.5\\n\", \"path\": \"RECEIPT.md\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 951, "completion_tokens": 472, "total_tokens": 1423, "prompt_tokens_details": {"cached_tokens": 896}, "cache_read_input_tokens": 896}, "cost": {"usd": 0, "diem": 0.00025716}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 5, "tool": "write_file", "args": {"content": "# Receipt\n\n## Items Purchased\n- **Searchly Lite (T2)**: $1.5 - Provides `web_search` capability.\n- **DocMail Bundle (T6)**: $4.0 - Provides `pdf_parse` and `email_send` capabilities.\n\n## Reasoning\nThe goal was to acquire `web_search`, `pdf_parse`, and `email_send` capabilities while spending as little as possible. \n- T2 + T6 costs $5.5.\n- T2 + T3 + T5 costs $6.5.\n- T4 costs $9.0.\nTherefore, T2 and T6 was the most cost-effective combination.\n\n## Final Balance\n$4.5\n", "path": "RECEIPT.md"}, "result": "wrote 468 chars"}
{"turn": 6, "response": {"service_tier": "default", "id": "chatcmpl-R3SyK8gDJT3nnaUJCv6EXdDN", "object": "chat.completion", "created": 1792017812, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I have acquired the required capabilities (`web_search`, `pdf_parse`, and `email_send`) by purchasing the most cost-effective combination of tools: **Searchly Lite (T2)** and **DocMail Bundle (T6)**, for a total cost of $5.5. The remaining balance is $4.5. A detailed receipt has been written to `RECEIPT.md`.", "reasoning_content": "The user wants me to acquire `web_search`, `pdf_parse`, and `email_send` capabilities spending as little as possible.\nI checked `catalog.json`:\n- T1: web_search (4.0)\n- T2: web_search (1.5)\n- T3: pdf_parse (2.0)\n- T4: web_search, pdf_parse, email_send (9.0)\n- T5: email_send (3.0)\n- T6: pdf_parse, email_send (4.0)\n- T7: image_gen (2.5)\n- T8: web_search, scrape (3.5)\n\nCombinations for required capabilities:\n1. T2 (1.5) + T3 (2.0) + T5 (3.0) = 6.5\n2. T2 (1.5) + T6 (4.0) = 5.5\n3. T4 (9.0) = 9.0\n4. T8 (3.5) + T6 (4.0) = 7.5\n\nThe cheapest is T2 and T6 for $5.5.\nI have already bought T2 and T6 and wrote the RECEIPT.md.\nI should double check if there are any other combinations.\nT2 (1.5) + T3 (2.0) + T5 (3.0) = 6.5\nT2 (1.5) + T6 (4.0) = 5.5\nT8 (3.5) + T6 (4.0) = 7.5\nT4 (9.0) = 9.0\n\nYes, T2 and T6 is the cheapest.\n\nFinal check of the requirements:\n- capabilities: web_search, pdf_parse, email_send.\n- T2: web_search\n- T6: pdf_parse, email_send\nTotal: web_search, pdf_parse, email_send. Correct.\n- spending as little as possible: 5.5 is the minimum. Correct.\n- Do not edit wallet.json or catalog.json directly: I used `python3 store.py buy <ID>`. Correct.\n- write RECEIPT.md listing what I bought, why, and the remaining balance. Correct.\n\nI am done.", "name": null, "tool_calls": null}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1151, "completion_tokens": 616, "total_tokens": 1767, "prompt_tokens_details": {"cached_tokens": 928}, "cache_read_input_tokens": 928}, "cost": {"usd": 0, "diem": 0.00033204}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}