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Gemma 4 31B Instruct (Venice) on Let agents run growth for a meeting-notetaker app

GGemma 4 31B Instruct (Venice) · venice-mini-agent v1.0 · cloud · 2026-10-14 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.0019
Wall time
1m
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget. Inspired by https://x.com/janaksunil/status/2105722379116933574 (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: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.md written.

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 ad spend replaced by mock channel CSV with a known optimal allocation. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.0019
Wall time
1m
Human step-ins
0
Turns
7
Model usage
ModelInput tokOutput tokCost
GGemma 4 31B Instruct (Venice)venice/google-gemma-4-31b-it4,9253,827$0.0019

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Gemma 4 31B Instruct (Venice) (venice/google-gemma-4-31b-it) via venice-mini-agent v1.0, cloud.
  3. It counts as a success only if it meets every success criterion: All automated rubric checks pass: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.md written.
  4. 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).

Evidence log
{"turn": 1, "response": {"service_tier": "default", "id": "chatcmpl-Rwh3O1cgLInHmx1jPH6xuXg8", "object": "chat.completion", "created": 1792016507, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "The objective is to maximize the number of signups given a total budget of $10,000.\nI have a `channels.csv` file containing ad channels, their cost per signup, and their maximum spend.\n\n1.  Read `channels.csv` to understand the data.\n2.  Calculate the cost per signup for each channel.\n3.  Prioritize channels with the lowest cost per signup (greedy approach).\n4.  Allocate budget to the cheapest channels first, up to their maximum spend, until the total budget of $10,000 is exhausted.\n5.  Calculate the total expected signups.\n6.  Write the results to `plan.json` and the reasoning to `RATIONALE.md`.\n\nLet's start by listing the files to confirm `channels.csv` exists.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-9f7785b5f45149d1", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\": \".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 356, "completion_tokens": 197, "total_tokens": 553, "prompt_tokens_details": {"cached_tokens": 224}, "cache_read_input_tokens": 224}, "cost": {"usd": 0, "diem": 0.00010692}, "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": "./channels.csv"}
{"turn": 2, "response": {"service_tier": "default", "id": "chatcmpl-RZWTi4M8d97rHzn9eW9UzSNB", "object": "chat.completion", "created": 1792016508, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "I need to read the `channels.csv` file to understand the cost per signup and the maximum spend for each channel.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-a16e6dceff9ea717", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"channels.csv\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 387, "completion_tokens": 46, "total_tokens": 433, "prompt_tokens_details": {"cached_tokens": 352}, "cache_read_input_tokens": 352}, "cost": {"usd": 0, "diem": 5.2440000000000006e-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": "channels.csv"}, "result": "channel,cost_per_signup_usd,max_spend_usd\nsearch_ads,42,4000\nsocial_ads,55,5000\npodcast_sponsor,120,3000\nreddit_ads,30,1500\nnewsletter_swap,18,800\ndisplay_ads,95,6000\ninfluencer,70,2500\n"}
{"turn": 3, "response": {"service_tier": "default", "id": "chatcmpl-RqCvUBIvd5ZTUV0nLtj6c8YW", "object": "chat.completion", "created": 1792016538, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "The goal is to maximize signups given a total budget of $10,000.\nEach channel has a `cost_per_signup_usd` and a `max_spend_usd`.\n\nTo maximize signups, I should prioritize channels with the lowest cost per signup.\n\nData from `channels.csv`:\n- newsletter_swap: 18 / max 800\n- reddit_ads: 30 / max 1500\n- search_ads: 42 / max 4000\n- social_ads: 55 / max 5000\n- influencer: 70 / max 2500\n- display_ads: 95 / max 6000\n- podcast_sponsor: 120 / max 3000\n\nBudget: $10,000\n\nAllocation strategy:\n1. newsletter_swap: $800 (Cost: 18) -> Signups: 800 / 18 = 44.44\n2. reddit_ads: $1500 (Cost: 30) -> Signups: 1500 / 30 = 50\n3. search_ads: $4000 (Cost: 42) -> Signups: 4000 / 42 = 95.23\n4. social_ads: Remaining budget.\n   Current spend: 800 + 1500 + 4000 = 6300\n   Remaining: 10000 - 6300 = 3700\n   social_ads max is 5000, so we can spend 3700.\n   Signups: 3700 / 55 = 67.27\n\nWait, let me re-calculate carefully.\n\nChannels sorted by cost per signup:\n1. newsletter_swap: $18, max $800\n2. reddit_ads: $30, max $1500\n3. search_ads: $42, max $4000\n4. social_ads: $55, max $5000\n5. influencer: $70, max $2500\n6. display_ads: $95, max $6000\n7. podcast_sponsor: $120, max $3000\n\nAllocation:\n- newsletter_swap: $800. Signups = 800 / 18 = 44.444...\n- reddit_ads: $1500. Signups = 1500 / 30 = 50\n- search_ads: $4000. Signups = 4000 / 42 = 95.238...\n- social_ads: $3700. Signups = 3700 / 55 = 67.272...\n\nTotal Spend: 800 + 1500 + 4000 + 3700 = 10000.\nTotal Signups: 44.444 + 50 + 95.238 + 67.272 = 256.954...\n\nWait, can I get more signups if I use other channels? No, because I'm filling them in order of increasing cost.\n\nLet's double check the math.\n800 / 18 = 44.4444444444\n1500 / 30 = 50\n4000 / 42 = 95.2380952381\n3700 / 55 = 67.2727272727\n\nSum = 44.4444444444 + 50 + 95.2380952381 + 67.2727272727 = 256.9552669552\n\nLet's verify if I missed any cheaper options.\n18, 30, 42, 55, 70, 95, 120.\nI used 18, 30, 42, 55.\nThe next one is 70, which is more expensive than 55.\n\nSo the allocation is:\nnewsletter_swap: 800\nreddit_ads: 1500\nsearch_ads: 4000\nsocial_ads: 3700\nOthers: 0\n\nTotal signups: 256.955... (I'll round to 2 decimal places or keep it as is). Usually, expected signups can be fractional in these models.\n\nLet's write the files.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-9717b3a0f75bb7a2", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\": \"{\\n  \\\"allocations\\\": {\\n    \\\"newsletter_swap\\\": 800,\\n    \\\"reddit_ads\\\": 1500,\\n    \\\"search_ads\\\": 4000,\\n    \\\"social_ads\\\": 3700,\\n    \\\"influencer\\\": 0,\\n    \\\"display_ads\\\": 0,\\n    \\\"podcast_sponsor\\\": 0\\n  },\\n  \\\"expected_signups\\\": 256.96\\n}\\n\", \"path\": \"plan.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 515, "completion_tokens": 1247, "total_tokens": 1762, "prompt_tokens_details": {"cached_tokens": 384}, "cache_read_input_tokens": 384}, "cost": {"usd": 0, "diem": 0.0004992}, "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": "write_file", "args": {"content": "{\n  \"allocations\": {\n    \"newsletter_swap\": 800,\n    \"reddit_ads\": 1500,\n    \"search_ads\": 4000,\n    \"social_ads\": 3700,\n    \"influencer\": 0,\n    \"display_ads\": 0,\n    \"podcast_sponsor\": 0\n  },\n  \"expected_signups\": 256.96\n}\n", "path": "plan.json"}, "result": "wrote 225 chars"}
{"turn": 4, "response": {"service_tier": "default", "id": "chatcmpl-RGiV2xsvP8zYTZsKeZ3vKBvb", "object": "chat.completion", "created": 1792016548, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Wait, I should calculate the expected signups more accurately.\nBudget: 10,000\n\nChannels sorted by cost per signup (lowest to highest):\n1. newsletter_swap: $18, max $800. Signups: 800/18 = 44.44. Spend: 800.\n2. reddit_ads: $30, max $1500. Signups: 1500/30 = 50. Spend: 1500.\n3. search_ads: $42, max $4000. Signups: 4000/42 = 95.24. Spend: 4000.\n4. social_ads: $55, max $5000. Remaining budget: 10000 - (800 + 1500 + 4000) = 10000 - 6300 = 3700.\n   Signups: 3700/55 = 67.27. Spend: 3700.\n\nTotal signups: 44.44 + 50 + 95.24 + 67.27 = 256.95\n\nLet's double check the math.\n800/18 = 44.444...\n1500/30 = 50\n4000/42 = 95.238...\n3700/55 = 67.272...\n\nSum: 44.444 + 50 + 95.238 + 67.272 = 256.954\n\nI'll update the plan.json and then write RATIONALE.md.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-b80c7e9f229eaaef", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\": \"{\\n  \\\"allocations\\\": {\\n    \\\"newsletter_swap\\\": 800,\\n    \\\"reddit_ads\\\": 1500,\\n    \\\"search_ads\\\": 4000,\\n    \\\"social_ads\\\": 3700,\\n    \\\"influencer\\\": 0,\\n    \\\"display_ads\\\": 0,\\n    \\\"podcast_sponsor\\\": 0\\n  },\\n  \\\"expected_signups\\\": 256.95\\n}\\n\", \"path\": \"plan.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 663, "completion_tokens": 556, "total_tokens": 1219, "prompt_tokens_details": {"cached_tokens": 512}, "cache_read_input_tokens": 512}, "cost": {"usd": 0, "diem": 0.00026436}, "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": "write_file", "args": {"content": "{\n  \"allocations\": {\n    \"newsletter_swap\": 800,\n    \"reddit_ads\": 1500,\n    \"search_ads\": 4000,\n    \"social_ads\": 3700,\n    \"influencer\": 0,\n    \"display_ads\": 0,\n    \"podcast_sponsor\": 0\n  },\n  \"expected_signups\": 256.95\n}\n", "path": "plan.json"}, "result": "wrote 225 chars"}
{"turn": 5, "response": {"service_tier": "default", "id": "chatcmpl-RLK0gurVvmms7lPvCGVtYJQd", "object": "chat.completion", "created": 1792016559, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Wait, I just wrote `plan.json` twice and I didn't write `RATIONALE.md`. Also, I should double check the math for `expected_signups`.\n\nBudget: $10,000\n\nChannels sorted by cost per signup (lowest to highest):\n1. newsletter_swap: $18, max $800. Signups: 800/18 = 44.44\n2. reddit_ads: $30, max $1500. Signups: 1500/30 = 50.00\n3. search_ads: $42, max $4000. Signups: 4000/42 = 95.24\n4. social_ads: $55, max $5000. Remaining budget: 10000 - (800 + 1500 + 4000) = 3700. Signups: 3700/55 = 67.27\n5. influencer: $70, max $2500.\n6. display_ads: $95, max $6000.\n7. podcast_sponsor: $120, max $3000.\n\nTotal signups: 44.44 + 50.00 + 95.24 + 67.27 = 256.95\n\nLet's re-calculate more precisely:\n800 / 18 = 44.444...\n1500 / 30 = 50\n4000 / 42 = 95.238...\n3700 / 55 = 67.272...\n\nTotal = 44.444 + 50 + 95.238 + 67.272 = 256.954...\n\nI will update `plan.json` and write `RATIONALE.md`.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-9e17ba4b34f323ec", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\": \"{\\n  \\\"allocations\\\": {\\n    \\\"newsletter_swap\\\": 800,\\n    \\\"reddit_ads\\\": 1500,\\n    \\\"search_ads\\\": 4000,\\n    \\\"social_ads\\\": 3700,\\n    \\\"influencer\\\": 0,\\n    \\\"display_ads\\\": 0,\\n    \\\"podcast_sponsor\\\": 0\\n  },\\n  \\\"expected_signups\\\": 256.95\\n}\\n\", \"path\": \"plan.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 811, "completion_tokens": 598, "total_tokens": 1409, "prompt_tokens_details": {"cached_tokens": 640}, "cache_read_input_tokens": 640}, "cost": {"usd": 0, "diem": 0.00029340000000000003}, "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": "{\n  \"allocations\": {\n    \"newsletter_swap\": 800,\n    \"reddit_ads\": 1500,\n    \"search_ads\": 4000,\n    \"social_ads\": 3700,\n    \"influencer\": 0,\n    \"display_ads\": 0,\n    \"podcast_sponsor\": 0\n  },\n  \"expected_signups\": 256.95\n}\n", "path": "plan.json"}, "result": "wrote 225 chars"}
{"turn": 6, "response": {"service_tier": "default", "id": "chatcmpl-RCSNsztDDSgLFHNdbxZFCl91", "object": "chat.completion", "created": 1792016571, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Wait, I just wrote `plan.json` three times with slightly different values (or the same). I need to calculate the expected signups correctly.\n\nLet's re-calculate:\nBudget = 10,000\n\nChannels sorted by cost per signup (ascending):\n1. newsletter_swap: $18, max $800. Signups: 800/18 = 44.44\n2. reddit_ads: $30, max $1500. Signups: 1500/30 = 50.00\n3. search_ads: $42, max $4000. Signups: 4000/42 = 95.24\n4. social_ads: $55, max $5000.\n   Remaining budget: 10000 - 800 - 1500 - 4000 = 3700.\n   Signups: 3700/55 = 67.27\n\nTotal signups: 44.44 + 50.00 + 95.24 + 67.27 = 256.95\n\nWait, I should check if I can get more signups by using other channels. No, because I'm picking the cheapest ones first.\n\nLet's double check the math:\n800 / 18 = 44.444...\n1500 / 30 = 50\n4000 / 42 = 95.238...\n3700 / 55 = 67.272...\n\nTotal = 44.444 + 50 + 95.238 + 67.272 = 256.954...\n\nI'll use 256.95.\n\nNow I need to write RATIONALE.md.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-8b0c86da4d4e268e", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\": \"To maximize signups with a fixed budget of $10,000, I employed a greedy strategy, allocating funds to the channels with the lowest cost per signup first until the budget was exhausted or the channel's maximum spend was reached.\\n\\n1. **Newsletter Swap**: $18/signup (Cheapest) -> Allocated $800 (Max)\\n2. **Reddit Ads**: $30/signup -> Allocated $1,500 (Max)\\n3. **Search Ads**: $42/signup -> Allocated $4,000 (Max)\\n4. **Social Ads**: $55/signup -> Allocated remaining $3,700\\n\\nTotal Spend: $800 + $1,500 + $4,000 + $3,700 = $10,000.\\nExpected Signups: (800/18) + (1500/30) + (4000/42) + (3700/55) \u2248 256.95.\\n\", \"path\": \"RATIONALE.md\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 959, "completion_tokens": 709, "total_tokens": 1668, "prompt_tokens_details": {"cached_tokens": 800}, "cache_read_input_tokens": 800}, "cost": {"usd": 0, "diem": 0.00034632}, "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": 6, "tool": "write_file", "args": {"content": "To maximize signups with a fixed budget of $10,000, I employed a greedy strategy, allocating funds to the channels with the lowest cost per signup first until the budget was exhausted or the channel's maximum spend was reached.\n\n1. **Newsletter Swap**: $18/signup (Cheapest) -> Allocated $800 (Max)\n2. **Reddit Ads**: $30/signup -> Allocated $1,500 (Max)\n3. **Search Ads**: $42/signup -> Allocated $4,000 (Max)\n4. **Social Ads**: $55/signup -> Allocated remaining $3,700\n\nTotal Spend: $800 + $1,500 + $4,000 + $3,700 = $10,000.\nExpected Signups: (800/18) + (1500/30) + (4000/42) + (3700/55) \u2248 256.95.\n", "path": "RATIONALE.md"}, "result": "wrote 601 chars"}
{"turn": 7, "response": {"service_tier": "default", "id": "chatcmpl-RAO4GyIVVj8oJaMxRxR0PMrX", "object": "chat.completion", "created": 1792016579, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I have allocated the $10,000 budget to maximize signups by prioritizing channels with the lowest cost per signup (greedy approach).\n\n**Allocations:**\n- **Newsletter Swap**: $800 (Maxed)\n- **Reddit Ads**: $1,500 (Maxed)\n- **Search Ads**: $4,000 (Maxed)\n- **Social Ads**: $3,700 (Partial)\n\n**Total Expected Signups**: ~256.95\n\nThe `plan.json` and `RATIONALE.md` files have been created in the directory.", "reasoning_content": "Wait, I noticed I wrote `plan.json` three times. The last one is correct.\nLet me double check the math.\nNewsletter: 800 / 18 = 44.444\nReddit: 1500 / 30 = 50\nSearch: 4000 / 42 = 95.238\nSocial: 3700 / 55 = 67.272\nTotal: 44.444 + 50 + 95.238 + 67.272 = 256.954\n\nThe `plan.json` has `256.95`. That's fine.\n\nWait, I should check if I missed any cheaper channels.\nCosts:\nNewsletter: 18\nReddit: 30\nSearch: 42\nSocial: 55\nInfluencer: 70\nDisplay: 95\nPodcast: 120\n\nThe order is correct.\nBudget: 10,000\n1. Newsletter: 800 (Remaining: 9200)\n2. Reddit: 1500 (Remaining: 7700)\n3. Search: 4000 (Remaining: 3700)\n4. Social: 3700 (Remaining: 0) - Max spend for social is 5000, so 3700 is allowed.\n\nEverything looks correct.", "name": null, "tool_calls": null}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1234, "completion_tokens": 474, "total_tokens": 1708, "prompt_tokens_details": {"cached_tokens": 928}, "cache_read_input_tokens": 928}, "cost": {"usd": 0, "diem": 0.00029088000000000003}, "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}}}

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