From 2c23870fa6f7c6b5e4639ecfe94a19a2f1cbda12 Mon Sep 17 00:00:00 2001 From: Kerem Turgutlu Date: Tue, 25 Nov 2025 17:55:12 +0300 Subject: [PATCH 1/4] gemini multimodal support init --- cachy.jsonl | 99 +- lisette/_modidx.py | 7 +- lisette/core.py | 72 +- lisette/usage.py | 14 +- nbs/00_core.ipynb | 2179 ++++++++++++++++++++------------------------ nbs/01_usage.ipynb | 330 +++---- 6 files changed, 1253 insertions(+), 1448 deletions(-) diff --git a/cachy.jsonl b/cachy.jsonl index c95b0cc..1d2efa3 100644 --- a/cachy.jsonl +++ b/cachy.jsonl @@ -99,4 +99,101 @@ {"key": "dbbcb149", "response": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-sonnet-4-5-20250929\",\"id\":\"msg_01CCn2JyUa5MUeyr8KnvtvPH\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":38,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":1,\"service_tier\":\"standard\"}} }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"} }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"10, 11, 12,\"} }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" 13, 14, 15\"} }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0 }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":38,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":20} }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\" }\n\n"} {"key": "a0200395", "response": "{\"model\":\"claude-sonnet-4-5-20250929\",\"id\":\"msg_01JXgC7K8e4JAWcuzsi2PQXi\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_011uvSTbVjZ5ZwKWJszrHes7\",\"name\":\"web_search\",\"input\":{\"query\":\"NYC weather today\"}},{\"type\":\"web_search_tool_result\",\"tool_use_id\":\"srvtoolu_011uvSTbVjZ5ZwKWJszrHes7\",\"content\":[{\"type\":\"web_search_result\",\"title\":\"New York City, NY Weather Forecast | 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day ago\"},{\"type\":\"web_search_result\",\"title\":\"NYC Severe Weather\",\"url\":\"https://www.nyc.gov/site/severeweather/index.page\",\"encrypted_content\":\"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\",\"page_age\":\"1 week ago\"},{\"type\":\"web_search_result\",\"title\":\"National Weather 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weeks ago\"},{\"type\":\"web_search_result\",\"title\":\"New York City, New York | Current Weather Forecasts, Live Radar Maps & News | 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expression, and the goal is clear: find its derivative. It's a polynomial, so applying the power rule is the core strategy. I'm focusing now on correctly applying the rule to each term, keeping track of the coefficients and the degree changes. The framework is solid.\\n\\n\\n\",\"thought\": true}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"totalTokenCount\": 29,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}]},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"**Applying Differentiation Techniques**\\n\\nI've outlined the problem, identifying the core differentiation rules needed: power, constant multiple, sum/difference, and constant rules. The expression is broken down into four terms. Now I'm methodically working through each term, applying the relevant rules. For the first term, applying the power rule gives $3x^2$. 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The tone will be encouraging and precise.\\n\\n\\n\",\"thought\": true}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"totalTokenCount\": 29,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}]},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"**Validating Calculations**\\n\\nI've gone back and meticulously double-checked all the arithmetic within the derivative calculations. Each step now seems solid: the coefficients and exponents all check out, and the constant term's derivative is confirmed as zero. Now I'm ready to present the final, validated answer.\\n\\n\\n\",\"thought\": true}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"totalTokenCount\": 29,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}]},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"To find the derivative of the function $f(x) = x^3 + 2x^2 - 5x + 1$, we can use the **Power Rule**.\\n\\nThe Power Rule\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"candidatesTokenCount\": 42,\"totalTokenCount\": 956,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}],\"thoughtsTokenCount\": 885},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \" states that for any term $ax^n$, the derivative is:\\n$$n \\\\cdot a \\\\cdot x^{n-\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"candidatesTokenCount\": 68,\"totalTokenCount\": 982,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}],\"thoughtsTokenCount\": 885},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"1}$$\\n\\nLet's break it down term by term:\\n\\n1. **$x^3$**:\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"candidatesTokenCount\": 92,\"totalTokenCount\": 1006,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}],\"thoughtsTokenCount\": 885},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \" Bring the power (3) down and subtract 1 from the exponent.\\n * Result: $3x^\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"candidatesTokenCount\": 117,\"totalTokenCount\": 1031,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}],\"thoughtsTokenCount\": 885},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"2$\\n2. **$2x^2$**: Bring the power (2) down, multiply it by the\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"candidatesTokenCount\": 143,\"totalTokenCount\": 1057,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}],\"thoughtsTokenCount\": 885},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \" coefficient (2), and subtract 1 from the exponent.\\n * $2 \\\\cdot 2x^{(\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"candidatesTokenCount\": 167,\"totalTokenCount\": 1081,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}],\"thoughtsTokenCount\": 885},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"2-1)}$\\n * Result: $4x$\\n3. **$-5x$**:\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 29,\"candidatesTokenCount\": 191,\"totalTokenCount\": 1105,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 29}],\"thoughtsTokenCount\": 885},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"EGYkaY_zLLXOnsEPg6TSUQ\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \" This is the same as $-5x^1$. 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3\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 316,\"candidatesTokenCount\": 46,\"totalTokenCount\": 362,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 316}]},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"o5wlabiLOv6XvdIP7en4qAU\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"\\n\\nNow the expression looks like this: `(15 * 3) / 3`.\\n\\nNext, we need to\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 316,\"candidatesTokenCount\": 72,\"totalTokenCount\": 388,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 316}]},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"o5wlabiLOv6XvdIP7en4qAU\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \" handle the multiplication in the numerator. Since the division depends on this result, we can only do one operation in this step\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 316,\"candidatesTokenCount\": 96,\"totalTokenCount\": 412,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 316}]},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"o5wlabiLOv6XvdIP7en4qAU\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \".\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 316,\"candidatesTokenCount\": 97,\"totalTokenCount\": 413,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 316}]},\"modelVersion\": \"gemini-3-pro-preview\",\"responseId\": \"o5wlabiLOv6XvdIP7en4qAU\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"functionCall\": {\"name\": \"multiply\",\"args\": {\"b\": 3,\"a\": 15}},\"thoughtSignature\": \"EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==\"}],\"role\": 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'lisette.core.Chat.print_hist': ('core.html#chat.print_hist', 'lisette/core.py'), 'lisette.core.ToolResponse': ('core.html#toolresponse', 'lisette/core.py'), 'lisette.core._add_cache_control': ('core.html#_add_cache_control', 'lisette/core.py'), 'lisette.core._alite_call_func': ('core.html#_alite_call_func', 'lisette/core.py'), 'lisette.core._apply_cache_idxs': ('core.html#_apply_cache_idxs', 'lisette/core.py'), 'lisette.core._bytes2content': ('core.html#_bytes2content', 'lisette/core.py'), + 'lisette.core._detect_mime': ('core.html#_detect_mime', 'lisette/core.py'), 'lisette.core._extract_tool': ('core.html#_extract_tool', 'lisette/core.py'), 'lisette.core._has_cache': ('core.html#_has_cache', 'lisette/core.py'), 'lisette.core._has_search': ('core.html#_has_search', 'lisette/core.py'), @@ -43,13 +43,8 @@ 'lisette/core.py'), 'lisette.core.mk_msg': ('core.html#mk_msg', 'lisette/core.py'), 'lisette.core.mk_msgs': ('core.html#mk_msgs', 'lisette/core.py'), - 'lisette.core.mk_tc': ('core.html#mk_tc', 'lisette/core.py'), - 'lisette.core.mk_tc_req': ('core.html#mk_tc_req', 'lisette/core.py'), - 'lisette.core.mk_tc_result': ('core.html#mk_tc_result', 'lisette/core.py'), - 'lisette.core.mk_tc_results': ('core.html#mk_tc_results', 'lisette/core.py'), 'lisette.core.mk_tr_details': ('core.html#mk_tr_details', 'lisette/core.py'), 'lisette.core.patch_litellm': ('core.html#patch_litellm', 'lisette/core.py'), - 'lisette.core.random_tool_id': ('core.html#random_tool_id', 'lisette/core.py'), 'lisette.core.remove_cache_ckpts': ('core.html#remove_cache_ckpts', 'lisette/core.py'), 'lisette.core.stream_with_complete': ('core.html#stream_with_complete', 'lisette/core.py')}, 'lisette.usage': { 'lisette.usage.LisetteUsageLogger': ('usage.html#lisetteusagelogger', 'lisette/usage.py'), diff --git a/lisette/core.py b/lisette/core.py index 7e9b141..f6d1fd2 100644 --- a/lisette/core.py +++ b/lisette/core.py @@ -5,8 +5,8 @@ # %% auto 0 __all__ = ['sonn45', 'opus45', 'detls_tag', 're_tools', 'effort', 'patch_litellm', 'remove_cache_ckpts', 'contents', 'mk_msg', 'fmt2hist', 'mk_msgs', 'stream_with_complete', 'lite_mk_func', 'ToolResponse', 'cite_footnote', - 'cite_footnotes', 'Chat', 'random_tool_id', 'mk_tc', 'mk_tc_req', 'mk_tc_result', 'mk_tc_results', - 'astream_with_complete', 'AsyncChat', 'mk_tr_details', 'AsyncStreamFormatter', 'adisplay_stream'] + 'cite_footnotes', 'Chat', 'astream_with_complete', 'AsyncChat', 'mk_tr_details', 'AsyncStreamFormatter', + 'adisplay_stream'] # %% ../nbs/00_core.ipynb import asyncio, base64, json, litellm, mimetypes, random, string @@ -79,11 +79,34 @@ def _repr_markdown_(self: litellm.ModelResponse): opus45 = "claude-opus-4-5" # %% ../nbs/00_core.ipynb +_sigs = { + (b'%PDF', 0): 'application/pdf', + (b'RIFF', 0): lambda d: 'audio/wav' if d[8:12]==b'WAVE' else 'video/avi' if d[8:12]==b'AVI ' else None, + (b'ID3', 0): 'audio/mp3', + (b'\xff\xfb', 0): 'audio/mp3', + (b'\xff\xf3', 0): 'audio/mp3', + (b'FORM', 0): lambda d: 'audio/aiff' if d[8:12]==b'AIFF' else None, + (b'OggS', 0): 'audio/ogg', + (b'fLaC', 0): 'audio/flac', + (b'ftyp', 4): lambda d: 'video/3gpp' if d[8:11]==b'3gp' else 'video/mp4', + (b'\x1a\x45\xdf', 0): 'video/webm', + (b'FLV', 0): 'video/x-flv', + (b'\x30\x26\xb2\x75', 0): 'video/wmv', + (b'\x00\x00\x01\xb3', 0): 'video/mpeg', +} + +def _detect_mime(data): + for (sig,pos),mime in _sigs.items(): + if data[pos:pos+len(sig)]==sig: return mime(data) if callable(mime) else mime + return mimetypes.types_map.get(f'.{imghdr.what(None, h=data)}') + def _bytes2content(data): - "Convert bytes to litellm content dict (image or pdf)" - mtype = 'application/pdf' if data[:4] == b'%PDF' else mimetypes.types_map.get(f'.{imghdr.what(None, h=data)}') - if not mtype: raise ValueError(f'Data must be image or PDF bytes, got {data[:10]}') - return {'type': 'image_url', 'image_url': f'data:{mtype};base64,{base64.b64encode(data).decode("utf-8")}'} + "Convert bytes to litellm content dict (image, pdf, audio, video)" + mtype = _detect_mime(data) + if not mtype: raise ValueError(f'Data must be a supported file type, got {data[:10]}') + encoded = base64.b64encode(data).decode("utf-8") + if mtype.startswith('image/'): return {'type': 'image_url', 'image_url': f'data:{mtype};base64,{encoded}'} + return {'type': 'file', 'file': {'file_data': f'data:{mtype};base64,{encoded}'}} # %% ../nbs/00_core.ipynb def _add_cache_control(msg, # LiteLLM formatted msg @@ -271,7 +294,7 @@ def _prep_msg(self, msg=None, prefill=None): cache_idxs = L(self.cache_idxs).filter().map(lambda o: o-1 if o>0 else o) else: cache_idxs = self.cache_idxs - if msg: self.hist = mk_msgs(self.hist+[msg], self.cache, cache_idxs, self.ttl) + if msg: self.hist = mk_msgs(self.hist+[msg], self.cache and 'claude' in self.model, cache_idxs, self.ttl) pf = [{"role":"assistant","content":prefill}] if prefill else [] return sp + self.hist + pf @@ -292,6 +315,7 @@ def _call(self, msg=None, prefill=None, temp=None, think=None, search=None, stre tools=self.tool_schemas, reasoning_effort = effort.get(think), tool_choice=tool_choice, # temperature is not supported when reasoning temperature=None if think else ifnone(temp,self.temp), + caching=self.cache and 'claude' not in self.model, **kwargs) if stream: if prefill: yield _mk_prefill(prefill) @@ -328,35 +352,6 @@ def __call__(self, elif return_all: return list(result_gen) # toolloop behavior else: return last(result_gen) # normal chat behavior -# %% ../nbs/00_core.ipynb -@patch -def print_hist(self:Chat): - "Print each message on a different line" - for r in self.hist: print(r, end='\n\n') - -# %% ../nbs/00_core.ipynb -def random_tool_id(): - "Generate a random tool ID with 'toolu_' prefix" - random_part = ''.join(random.choices(string.ascii_letters + string.digits, k=25)) - return f'toolu_{random_part}' - -# %% ../nbs/00_core.ipynb -def mk_tc(func, args, tcid=None, idx=1): - if not tcid: tcid = random_tool_id() - return {'index': idx, 'function': {'arguments': args, 'name': func}, 'id': tcid, 'type': 'function'} - -# %% ../nbs/00_core.ipynb -def mk_tc_req(content, tcs): - msg = Message(content=content, role='assistant', tool_calls=tcs, function_call=None) - msg.tool_calls = [{**dict(tc), 'function': dict(tc['function'])} for tc in msg.tool_calls] - return msg - -# %% ../nbs/00_core.ipynb -def mk_tc_result(tc, result): return {'tool_call_id': tc['id'], 'role': 'tool', 'name': tc['function']['name'], 'content': result} - -# %% ../nbs/00_core.ipynb -def mk_tc_results(tcq, results): return [mk_tc_result(a,b) for a,b in zip(tcq.tool_calls, results)] - # %% ../nbs/00_core.ipynb async def _alite_call_func(tc, ns, raise_on_err=True): try: fargs = json.loads(tc.function.arguments) @@ -387,6 +382,7 @@ async def _call(self, msg=None, prefill=None, temp=None, think=None, search=None tools=self.tool_schemas, reasoning_effort=effort.get(think), tool_choice=tool_choice, # temperature is not supported when reasoning temperature=None if think else ifnone(temp,self.temp), + caching=self.cache and 'claude' not in self.model, **kwargs) if stream: if prefill: yield _mk_prefill(prefill) @@ -453,9 +449,9 @@ def format_item(self, o): res = '' if isinstance(o, ModelResponseStream): d = o.choices[0].delta - if nested_idx(d, 'reasoning_content'): + if nested_idx(d, 'reasoning_content') and d['reasoning_content']!='{"text": ""}': self.think = True - res += '🧠' + res += '🧠' if not self.outp or self.outp[-1]=='🧠' else '\n\n🧠' elif self.think: self.think = False res += '\n\n' diff --git a/lisette/usage.py b/lisette/usage.py index f5307b7..93ae47b 100644 --- a/lisette/usage.py +++ b/lisette/usage.py @@ -27,9 +27,17 @@ def log_success_event(self, kwargs, response_obj, start_time, end_time): def _log_usage(self, response_obj, response_cost, start_time, end_time): usage = response_obj.usage ptd = usage.prompt_tokens_details - self.usage.insert(Usage(timestamp=time.time(), model=response_obj.model, user_id=self.user_id_fn(), prompt_tokens=usage.prompt_tokens, completion_tokens=usage.completion_tokens, - total_tokens=usage.total_tokens, cached_tokens=ptd.cached_tokens if ptd else 0, cache_creation_tokens=usage.cache_creation_input_tokens, - cache_read_tokens=usage.cache_read_input_tokens, web_search_requests=nested_idx(usage, 'server_tool_use', 'web_search_requests'), response_cost=response_cost)) + self.usage.insert(Usage(timestamp=time.time(), + model=response_obj.model, + user_id=self.user_id_fn(), + prompt_tokens=usage.prompt_tokens, + completion_tokens=usage.completion_tokens, + total_tokens=usage.total_tokens, + cached_tokens=ptd.cached_tokens if ptd else 0, # used by gemini (read tokens) + cache_creation_tokens=nested_idx(usage, 'cache_creation_input_tokens'), + cache_read_tokens=nested_idx(usage, 'cache_read_input_tokens'), # used by anthropic + web_search_requests=nested_idx(usage, 'server_tool_use', 'web_search_requests'), + response_cost=response_cost)) def user_id_fn(self): raise NotImplementedError('Please implement `LisetteUsageLogger.user_id_fn` before initializing, e.g using fastcore.patch.') diff --git a/nbs/00_core.ipynb b/nbs/00_core.ipynb index 2de347c..e7c87eb 100644 --- a/nbs/00_core.ipynb +++ b/nbs/00_core.ipynb @@ -73,7 +73,9 @@ "from fastcore.test import *\n", "from IPython.display import Markdown, Image\n", "from fastcore.xtras import SaveReturn\n", - "from fastcore.test import *" + "from fastcore.test import *\n", + "from IPython.display import Audio, Video\n", + "import httpx" ] }, { @@ -226,6 +228,43 @@ "id": "25a6f62b", "metadata": {}, "outputs": [ + { + "data": { + "text/markdown": [ + "**gemini/gemini-3-pro-preview:**" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "Hello! How’s it going?\n", + "\n", + "I’m here and ready to help with whatever you need—whether it’s brainstorming ideas, writing code, answering a tricky question, or just chatting.\n", + "\n", + "What’s on your mind today?\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gemini-3-pro-preview`\n", + "- finish_reason: `stop`\n", + "- usage: `Usage(completion_tokens=169, prompt_tokens=4, total_tokens=173, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=50, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=4, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Hello! How’s it going?\\n\\nI’m here and ready to help with whatever you need—whether it’s brainstorming ideas, writing code, answering a tricky question, or just chatting.\\n\\nWhat’s on your mind today?', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Hello! How\\\\u2019s it going?\\\\n\\\\nI\\\\u2019m here and ready to help with whatever you need\\\\u2014whether it\\\\u2019s brainstorming ideas, writing code, answering a tricky question, or just chatting.\\\\n\\\\nWhat\\\\u2019s on your mind today?\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=169, prompt_tokens=4, total_tokens=173, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=50, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=4, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "text/markdown": [ @@ -327,7 +366,7 @@ } ], "source": [ - "ms = [\"gemini/gemini-2.5-flash\", \"claude-sonnet-4-5\", \"openai/gpt-4.1\"]\n", + "ms = [\"gemini/gemini-3-pro-preview\", \"gemini/gemini-2.5-flash\", \"claude-sonnet-4-5\", \"openai/gpt-4.1\"]\n", "msg = [{'role':'user','content':'Hey there!', 'cache_control': {'type': 'ephemeral'}}]\n", "for m in ms:\n", " display(Markdown(f'**{m}:**'))\n", @@ -353,16 +392,40 @@ { "cell_type": "code", "execution_count": null, - "id": "17911e6a", + "id": "d4c8b8f2", "metadata": {}, "outputs": [], "source": [ "#| export\n", + "#| export\n", + "_sigs = {\n", + " (b'%PDF', 0): 'application/pdf',\n", + " (b'RIFF', 0): lambda d: 'audio/wav' if d[8:12]==b'WAVE' else 'video/avi' if d[8:12]==b'AVI ' else None,\n", + " (b'ID3', 0): 'audio/mp3',\n", + " (b'\\xff\\xfb', 0): 'audio/mp3',\n", + " (b'\\xff\\xf3', 0): 'audio/mp3',\n", + " (b'FORM', 0): lambda d: 'audio/aiff' if d[8:12]==b'AIFF' else None,\n", + " (b'OggS', 0): 'audio/ogg',\n", + " (b'fLaC', 0): 'audio/flac',\n", + " (b'ftyp', 4): lambda d: 'video/3gpp' if d[8:11]==b'3gp' else 'video/mp4',\n", + " (b'\\x1a\\x45\\xdf', 0): 'video/webm',\n", + " (b'FLV', 0): 'video/x-flv',\n", + " (b'\\x30\\x26\\xb2\\x75', 0): 'video/wmv',\n", + " (b'\\x00\\x00\\x01\\xb3', 0): 'video/mpeg',\n", + "}\n", + "\n", + "def _detect_mime(data):\n", + " for (sig,pos),mime in _sigs.items():\n", + " if data[pos:pos+len(sig)]==sig: return mime(data) if callable(mime) else mime\n", + " return mimetypes.types_map.get(f'.{imghdr.what(None, h=data)}')\n", + " \n", "def _bytes2content(data):\n", - " \"Convert bytes to litellm content dict (image or pdf)\"\n", - " mtype = 'application/pdf' if data[:4] == b'%PDF' else mimetypes.types_map.get(f'.{imghdr.what(None, h=data)}')\n", - " if not mtype: raise ValueError(f'Data must be image or PDF bytes, got {data[:10]}')\n", - " return {'type': 'image_url', 'image_url': f'data:{mtype};base64,{base64.b64encode(data).decode(\"utf-8\")}'}" + " \"Convert bytes to litellm content dict (image, pdf, audio, video)\"\n", + " mtype = _detect_mime(data)\n", + " if not mtype: raise ValueError(f'Data must be a supported file type, got {data[:10]}')\n", + " encoded = base64.b64encode(data).decode(\"utf-8\") \n", + " if mtype.startswith('image/'): return {'type': 'image_url', 'image_url': f'data:{mtype};base64,{encoded}'}\n", + " return {'type': 'file', 'file': {'file_data': f'data:{mtype};base64,{encoded}'}}" ] }, { @@ -473,7 +536,7 @@ "metadata": {}, "outputs": [], "source": [ - "model = ms[1]" + "model = ms[0]" ] }, { @@ -485,19 +548,19 @@ { "data": { "text/markdown": [ - "Hey! How's it going? What's on your mind?\n", + "Hey there! How can I help you today?\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=16, prompt_tokens=8, total_tokens=24, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=129, prompt_tokens=2, total_tokens=131, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"Hey! How's it going? What's on your mind?\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=16, prompt_tokens=8, total_tokens=24, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Hey there! How can I help you today?', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Hey there! How can I help you today?\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=129, prompt_tokens=2, total_tokens=131, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -525,9 +588,9 @@ "metadata": {}, "outputs": [], "source": [ - "def c(msgs, **kw):\n", + "def c(msgs, m=model, **kw):\n", " msgs = [msgs] if isinstance(msgs,dict) else listify(msgs)\n", - " return completion(model, msgs, **kw)" + " return completion(m, msgs, **kw)" ] }, { @@ -539,19 +602,19 @@ { "data": { "text/markdown": [ - "Hey! How's it going? What's on your mind?\n", + "Hey there! How can I help you today?\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=16, prompt_tokens=8, total_tokens=24, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=129, prompt_tokens=2, total_tokens=131, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"Hey! How's it going? What's on your mind?\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=16, prompt_tokens=8, total_tokens=24, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Hey there! How can I help you today?', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Hey there! How can I help you today?\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=129, prompt_tokens=2, total_tokens=131, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -655,25 +718,24 @@ { "data": { "text/markdown": [ - "This image shows an adorable **Cavalier King Charles Spaniel puppy**! The puppy has the breed's characteristic features:\n", - "\n", - "- **Coloring**: Brown (chestnut) and white coat\n", - "- **Sweet expression**: Large, dark eyes and a gentle face\n", - "- **Setting**: The puppy is lying on grass near some purple flowers (appear to be asters or similar blooms)\n", + "Based on the image, here is what appears to be in it:\n", "\n", - "The puppy looks very young and has that irresistibly cute, innocent look that Cavalier puppies are famous for. The photo has a professional quality with nice lighting and composition, capturing the puppy's endearing personality perfectly!\n", + "* **A Puppy:** The main subject is a young Cavalier King Charles Spaniel puppy. It has distinctive chestnut and white markings (often referred to as \"Blenheim\" coloring), floppy ears, and large, dark eyes. It is lying down on its stomach with its front paws stretched out.\n", + "* **Flowers:** To the left of the puppy, there is a cluster of small, purple aster-like flowers growing on a green bush.\n", + "* **Grass:** The puppy is resting on green grass.\n", + "* **Background:** Behind the puppy, there appears to be a dark, possibly wooden structure or planter pot, though it is slightly out of focus.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=139, prompt_tokens=104, total_tokens=243, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=273, prompt_tokens=1087, total_tokens=1360, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=154, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=7, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"This image shows an adorable **Cavalier King Charles Spaniel puppy**! The puppy has the breed's characteristic features:\\n\\n- **Coloring**: Brown (chestnut) and white coat\\n- **Sweet expression**: Large, dark eyes and a gentle face\\n- **Setting**: The puppy is lying on grass near some purple flowers (appear to be asters or similar blooms)\\n\\nThe puppy looks very young and has that irresistibly cute, innocent look that Cavalier puppies are famous for. The photo has a professional quality with nice lighting and composition, capturing the puppy's endearing personality perfectly!\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=139, prompt_tokens=104, total_tokens=243, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Based on the image, here is what appears to be in it:\\n\\n* **A Puppy:** The main subject is a young Cavalier King Charles Spaniel puppy. It has distinctive chestnut and white markings (often referred to as \"Blenheim\" coloring), floppy ears, and large, dark eyes. It is lying down on its stomach with its front paws stretched out.\\n* **Flowers:** To the left of the puppy, there is a cluster of small, purple aster-like flowers growing on a green bush.\\n* **Grass:** The puppy is resting on green grass.\\n* **Background:** Behind the puppy, there appears to be a dark, possibly wooden structure or planter pot, though it is slightly out of focus.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Based on the image, here is what appears to be in it:\\\\n\\\\n* **A Puppy:** The main subject is a young Cavalier King Charles Spaniel puppy. It has distinctive chestnut and white markings (often referred to as \\\\\"Blenheim\\\\\" coloring), floppy ears, and large, dark eyes. It is lying down on its stomach with its front paws stretched out.\\\\n* **Flowers:** To the left of the puppy, there is a cluster of small, purple aster-like flowers growing on a green bush.\\\\n* **Grass:** The puppy is resting on green grass.\\\\n* **Background:** Behind the puppy, there appears to be a dark, possibly wooden structure or planter pot, though it is slightly out of focus.\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=273, prompt_tokens=1087, total_tokens=1360, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=119, rejected_prediction_tokens=None, text_tokens=154, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=7, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -706,6 +768,103 @@ "# c(msg)" ] }, + { + "cell_type": "markdown", + "id": "e0e5e1e2", + "metadata": {}, + "source": [ + "Some models like Gemini support audio and video:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38313733", + "metadata": {}, + "outputs": [], + "source": [ + "wav_data = httpx.get(\"https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav\").content\n", + "# Audio(wav_data) # uncomment to preview" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d75a81fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "The sun rises in the east and sets in the west. This simple fact has been observed by humans for thousands of years.\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gemini-2.5-flash`\n", + "- finish_reason: `stop`\n", + "- usage: `Usage(completion_tokens=94, prompt_tokens=230, total_tokens=324, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=69, rejected_prediction_tokens=None, text_tokens=25, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=223, cached_tokens=None, text_tokens=7, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='The sun rises in the east and sets in the west. This simple fact has been observed by humans for thousands of years.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=94, prompt_tokens=230, total_tokens=324, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=69, rejected_prediction_tokens=None, text_tokens=25, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=223, cached_tokens=None, text_tokens=7, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "msg = mk_msg(['What is this audio saying?', wav_data])\n", + "completion(ms[1], [msg])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "10b32b23", + "metadata": {}, + "outputs": [], + "source": [ + "vid_data = httpx.get(\"https://storage.googleapis.com/github-repo/img/gemini/multimodality_usecases_overview/pixel8.mp4\").content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e904bf9c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "A photographer, Saeka Shimada, explores Tokyo at night, demonstrating a new Google Pixel phone's \"Video Boost\" feature. This feature uses \"Night Sight\" to significantly enhance the brightness and quality of low-light video, allowing her to capture vibrant scenes in dimly lit alleys, with a clear before-and-after comparison of the boosted footage. She concludes her evening in Shibuya with friends.\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gemini-2.5-flash`\n", + "- finish_reason: `stop`\n", + "- usage: `Usage(completion_tokens=1041, prompt_tokens=17402, total_tokens=18443, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=960, rejected_prediction_tokens=None, text_tokens=81, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=1873, cached_tokens=None, text_tokens=12, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='A photographer, Saeka Shimada, explores Tokyo at night, demonstrating a new Google Pixel phone\\'s \"Video Boost\" feature. This feature uses \"Night Sight\" to significantly enhance the brightness and quality of low-light video, allowing her to capture vibrant scenes in dimly lit alleys, with a clear before-and-after comparison of the boosted footage. She concludes her evening in Shibuya with friends.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=1041, prompt_tokens=17402, total_tokens=18443, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=960, rejected_prediction_tokens=None, text_tokens=81, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=1873, cached_tokens=None, text_tokens=12, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "msg = mk_msg(['Concisely, what is happening in this video?', vid_data])\n", + "completion(ms[1], [msg])" + ] + }, { "cell_type": "markdown", "id": "3dc01faf", @@ -773,9 +932,9 @@ } ], "source": [ - "msg = mk_msg(cpr(1), cache=True)\n", - "res = c(msg)\n", - "res" + "# msg = mk_msg(cpr(1), cache=True)\n", + "# res = c(msg, ms[2])\n", + "# res" ] }, { @@ -816,8 +975,8 @@ } ], "source": [ - "res = c([remove_cache_ckpts(msg), mk_msg(res), mk_msg(cpr(2), cache=True)])\n", - "res" + "# res = c([remove_cache_ckpts(msg), mk_msg(res), mk_msg(cpr(2), cache=True)], ms[2])\n", + "# res" ] }, { @@ -833,20 +992,9 @@ "execution_count": null, "id": "e1c7e395", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2070, text_tokens=None, image_tokens=None, cache_creation_tokens=2074, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=2074, ephemeral_1h_input_tokens=0))" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "res.usage.prompt_tokens_details" + "# res.usage.prompt_tokens_details" ] }, { @@ -1524,7 +1672,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Hey! How's it going? 😊 What can I help you with today?" + "Hey there! How can I help you today?\n", + "\n", + "Whether you have a specific question, need help with a project, or just want to chat, I'm here for it. What's on your mind?" ] } ], @@ -1543,19 +1693,21 @@ { "data": { "text/markdown": [ - "Hey! How's it going? 😊 What can I help you with today?\n", + "Hey there! How can I help you today?\n", + "\n", + "Whether you have a specific question, need help with a project, or just want to chat, I'm here for it. What's on your mind?\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=22, prompt_tokens=9, total_tokens=31, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", + "- usage: `Usage(completion_tokens=161, prompt_tokens=3, total_tokens=164, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=5, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"Hey! How's it going? 😊 What can I help you with today?\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None))], usage=Usage(completion_tokens=22, prompt_tokens=9, total_tokens=31, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"Hey there! How can I help you today?\\n\\nWhether you have a specific question, need help with a project, or just want to chat, I'm here for it. What's on your mind?\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None, reasoning_content='{\"text\": \"\"}'))], usage=Usage(completion_tokens=161, prompt_tokens=3, total_tokens=164, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=5, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" ] }, "execution_count": null, @@ -1651,13 +1803,9 @@ { "data": { "text/markdown": [ - "I'll help you calculate both of those sums using the addition tool.\n", + "I will first calculate the sum of 5478954793 and 547982745. Then, I will calculate the sum of 5479749754 and 9875438979.\n", "\n", - "Let me break down what I'll do:\n", - "1. First calculation: 5478954793 + 547982745\n", - "2. Second calculation: 5479749754 + 9875438979\n", "\n", - "Since these are independent calculations, I'll perform both at the same time.\n", "\n", "🔧 simple_add({\"a\": 5478954793, \"b\": 547982745})\n", "\n", @@ -1669,14 +1817,14 @@ "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=211, prompt_tokens=659, total_tokens=870, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=262, prompt_tokens=160, total_tokens=422, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=128, rejected_prediction_tokens=None, text_tokens=134, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=160, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=\"I'll help you calculate both of those sums using the addition tool.\\n\\nLet me break down what I'll do:\\n1. First calculation: 5478954793 + 547982745\\n2. Second calculation: 5479749754 + 9875438979\\n\\nSince these are independent calculations, I'll perform both at the same time.\", role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=1, function=Function(arguments='{\"a\": 5478954793, \"b\": 547982745}', name='simple_add'), id='toolu_01KATe5b5tmd4tK5D9BUZE5S', type='function'), ChatCompletionMessageToolCall(index=2, function=Function(arguments='{\"a\": 5479749754, \"b\": 9875438979}', name='simple_add'), id='toolu_01E4WQj8RkQj8Z7QLJ6ireTe', type='function')], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=211, prompt_tokens=659, total_tokens=870, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content='I will first calculate the sum of 5478954793 and 547982745. Then, I will calculate the sum of 5479749754 and 9875438979.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"a\": 5478954793, \"b\": 547982745}', name='simple_add'), id='call_7d3eb7da0ea54f8ea5e43bf02536__thought__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', type='function'), ChatCompletionMessageToolCall(index=1, function=Function(arguments='{\"a\": 5479749754, \"b\": 9875438979}', name='simple_add'), id='call_d4f83b1d282648e28dec65330b76', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5478954793, \"b\": 547982745}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=262, prompt_tokens=160, total_tokens=422, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=128, rejected_prediction_tokens=None, text_tokens=134, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=160, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -1734,11 +1882,11 @@ { "data": { "text/plain": [ - "[{'tool_call_id': 'toolu_01KATe5b5tmd4tK5D9BUZE5S',\n", + "[{'tool_call_id': 'call_7d3eb7da0ea54f8ea5e43bf02536__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '6026937538'},\n", - " {'tool_call_id': 'toolu_01E4WQj8RkQj8Z7QLJ6ireTe',\n", + " {'tool_call_id': 'call_d4f83b1d282648e28dec65330b76',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15355188733'}]" @@ -1785,13 +1933,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "I'll help you calculate those two sums using the addition tool.\n", + "I will calculate the sum of 5,478,954,793 and 547,982,745, and then I will calculate the sum of 5,479,749,754 and 9,875,438,979 using the addition tool.\n", "\n", - "Let me break down what I need to do:\n", - "1. Calculate 5478954793 + 547982745\n", - "2. Calculate 5479749754 + 9875438979\n", "\n", - "Since these are independent calculations, I'll perform both additions at once.\n", "🔧 simple_add\n", "\n", "🔧 simple_add\n" @@ -1813,32 +1957,28 @@ { "data": { "text/markdown": [ - "I'll help you calculate those two sums using the addition tool.\n", + "I will calculate the sum of 5,478,954,793 and 547,982,745, and then I will calculate the sum of 5,479,749,754 and 9,875,438,979 using the addition tool.\n", "\n", - "Let me break down what I need to do:\n", - "1. Calculate 5478954793 + 547982745\n", - "2. Calculate 5479749754 + 9875438979\n", "\n", - "Since these are independent calculations, I'll perform both additions at once.\n", "\n", - "🔧 simple_add({\"a\": 5478954793, \"b\": 547982745})\n", + "🔧 simple_add({\"b\": 547982745, \"a\": 5478954793})\n", "\n", "\n", "\n", - "🔧 simple_add({\"a\": 5479749754, \"b\": 9875438979})\n", + "🔧 simple_add({\"b\": 9875438979, \"a\": 5479749754})\n", "\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5`\n", - "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=206, prompt_tokens=659, total_tokens=865, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", + "- model: `gemini-3-pro-preview`\n", + "- finish_reason: `stop`\n", + "- usage: `Usage(completion_tokens=279, prompt_tokens=160, total_tokens=439, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=\"I'll help you calculate those two sums using the addition tool.\\n\\nLet me break down what I need to do:\\n1. Calculate 5478954793 + 547982745\\n2. Calculate 5479749754 + 9875438979\\n\\nSince these are independent calculations, I'll perform both additions at once.\", role='assistant', tool_calls=[ChatCompletionMessageToolCall(function=Function(arguments='{\"a\": 5478954793, \"b\": 547982745}', name='simple_add'), id='toolu_0154DKJLM7bWtdgYMpLnQtF1', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{\"a\": 5479749754, \"b\": 9875438979}', name='simple_add'), id='toolu_01PKwe1vvvuYpjr32NgwHSio', type='function')], function_call=None, provider_specific_fields=None))], usage=Usage(completion_tokens=206, prompt_tokens=659, total_tokens=865, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='I will calculate the sum of 5,478,954,793 and 547,982,745, and then I will calculate the sum of 5,479,749,754 and 9,875,438,979 using the addition tool.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 547982745, \"a\": 5478954793}', name='simple_add'), id='call_18b416d5a8df4693b5d032a9035a__thought__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', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{\"b\": 9875438979, \"a\": 5479749754}', name='simple_add'), id='call_7f930aa8e8934a768866e1d17845', type='function')], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 547982745, \"a\": 5478954793}}}'))], usage=Usage(completion_tokens=279, prompt_tokens=160, total_tokens=439, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" ] }, "execution_count": null, @@ -1853,29 +1993,39 @@ { "cell_type": "code", "execution_count": null, - "id": "f355ecbe", + "id": "50bca992", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠\n", + "🧠🧠To find the derivative of the function $f(x) = x^3 + 2x^2 - 5x + 1$, we will use the **Power Rule** of differentiation.\n", "\n", - "# Derivative Solution\n", + "The Power Rule states that for any term $ax^n$, the derivative is:\n", + "$$ \\frac{d}{dx}(ax^n) = n \\cdot ax^{n-1} $$\n", "\n", - "To find the derivative of **f(x) = x³ + 2x² - 5x + 1**, I'll apply the power rule to each term.\n", + "We will differentiate the function term by term:\n", "\n", - "## Using the Power Rule: d/dx(xⁿ) = n·xⁿ⁻¹\n", + "1. **First term ($x^3$):**\n", + " * Bring the power (3) down to the front and subtract 1 from the exponent.\n", + " * Derivative: $3x^{3-1} = 3x^2$\n", "\n", - "**Term by term:**\n", - "- d/dx(x³) = 3x²\n", - "- d/dx(2x²) = 4x\n", - "- d/dx(-5x) = -5\n", - "- d/dx(1) = 0\n", + "2. **Second term ($2x^2$):**\n", + " * Bring the power (2) down to multiply by the coefficient (2) and subtract 1 from the exponent.\n", + " * Derivative: $2 \\cdot 2x^{2-1} = 4x^1$ or just $4x$\n", "\n", - "## Answer:\n", - "**f'(x) = 3x² + 4x - 5**" + "3. **Third term ($-5x$):**\n", + " * This is technically $-5x^1$. Bring the power (1) down and subtract 1 from the exponent.\n", + " * Derivative: $1 \\cdot -5x^{1-1} = -5x^0$. Since $x^0 = 1$, this simplifies to just $-5$.\n", + "\n", + "4. **Fourth term ($1$):**\n", + " * The derivative of any constant number is always 0.\n", + " * Derivative: $0$\n", + "\n", + "**Combine the results:**\n", + "\n", + "$$ f'(x) = 3x^2 + 4x - 5 $$🧠" ] } ], @@ -1883,7 +2033,7 @@ "msg = mk_msg(\"Solve this complex math problem: What is the derivative of x^3 + 2x^2 - 5x + 1?\")\n", "r = c(msg, stream=True, reasoning_effort=\"low\")\n", "r2 = SaveReturn(stream_with_complete(r))\n", - "for o in r2: print(delta_text(o) or '', end='')\n" + "for o in r2: print(delta_text(o) or '', end='')" ] }, { @@ -1895,32 +2045,44 @@ { "data": { "text/markdown": [ - "# Derivative Solution\n", + "To find the derivative of the function $f(x) = x^3 + 2x^2 - 5x + 1$, we will use the **Power Rule** of differentiation.\n", + "\n", + "The Power Rule states that for any term $ax^n$, the derivative is:\n", + "$$ \\frac{d}{dx}(ax^n) = n \\cdot ax^{n-1} $$\n", + "\n", + "We will differentiate the function term by term:\n", + "\n", + "1. **First term ($x^3$):**\n", + " * Bring the power (3) down to the front and subtract 1 from the exponent.\n", + " * Derivative: $3x^{3-1} = 3x^2$\n", + "\n", + "2. **Second term ($2x^2$):**\n", + " * Bring the power (2) down to multiply by the coefficient (2) and subtract 1 from the exponent.\n", + " * Derivative: $2 \\cdot 2x^{2-1} = 4x^1$ or just $4x$\n", "\n", - "To find the derivative of **f(x) = x³ + 2x² - 5x + 1**, I'll apply the power rule to each term.\n", + "3. **Third term ($-5x$):**\n", + " * This is technically $-5x^1$. Bring the power (1) down and subtract 1 from the exponent.\n", + " * Derivative: $1 \\cdot -5x^{1-1} = -5x^0$. Since $x^0 = 1$, this simplifies to just $-5$.\n", "\n", - "## Using the Power Rule: d/dx(xⁿ) = n·xⁿ⁻¹\n", + "4. **Fourth term ($1$):**\n", + " * The derivative of any constant number is always 0.\n", + " * Derivative: $0$\n", "\n", - "**Term by term:**\n", - "- d/dx(x³) = 3x²\n", - "- d/dx(2x²) = 4x\n", - "- d/dx(-5x) = -5\n", - "- d/dx(1) = 0\n", + "**Combine the results:**\n", "\n", - "## Answer:\n", - "**f'(x) = 3x² + 4x - 5**\n", + "$$ f'(x) = 3x^2 + 4x - 5 $$\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=328, prompt_tokens=66, total_tokens=394, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=148, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", + "- usage: `Usage(completion_tokens=488, prompt_tokens=29, total_tokens=517, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=175, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"# Derivative Solution\\n\\nTo find the derivative of **f(x) = x³ + 2x² - 5x + 1**, I'll apply the power rule to each term.\\n\\n## Using the Power Rule: d/dx(xⁿ) = n·xⁿ⁻¹\\n\\n**Term by term:**\\n- d/dx(x³) = 3x²\\n- d/dx(2x²) = 4x\\n- d/dx(-5x) = -5\\n- d/dx(1) = 0\\n\\n## Answer:\\n**f'(x) = 3x² + 4x - 5**\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None, thinking_blocks=[{'type': 'thinking', 'thinking': \"This is a straightforward calculus problem asking for the derivative of a polynomial function.\\n\\nThe function is: f(x) = x³ + 2x² - 5x + 1\\n\\nTo find the derivative, I'll use the power rule: d/dx(xⁿ) = n·xⁿ⁻¹\\n\\nTaking the derivative term by term:\\n- d/dx(x³) = 3x²\\n- d/dx(2x²) = 2·2x = 4x\\n- d/dx(-5x) = -5\\n- d/dx(1) = 0\\n\\nTherefore: f'(x) = 3x² + 4x - 5\", 'signature': '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'}], reasoning_content=\"This is a straightforward calculus problem asking for the derivative of a polynomial function.\\n\\nThe function is: f(x) = x³ + 2x² - 5x + 1\\n\\nTo find the derivative, I'll use the power rule: d/dx(xⁿ) = n·xⁿ⁻¹\\n\\nTaking the derivative term by term:\\n- d/dx(x³) = 3x²\\n- d/dx(2x²) = 2·2x = 4x\\n- d/dx(-5x) = -5\\n- d/dx(1) = 0\\n\\nTherefore: f'(x) = 3x² + 4x - 5\"))], usage=Usage(completion_tokens=328, prompt_tokens=66, total_tokens=394, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=148, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"To find the derivative of the function $f(x) = x^3 + 2x^2 - 5x + 1$, we will use the **Power Rule** of differentiation.\\n\\nThe Power Rule states that for any term $ax^n$, the derivative is:\\n$$ \\\\frac{d}{dx}(ax^n) = n \\\\cdot ax^{n-1} $$\\n\\nWe will differentiate the function term by term:\\n\\n1. **First term ($x^3$):**\\n * Bring the power (3) down to the front and subtract 1 from the exponent.\\n * Derivative: $3x^{3-1} = 3x^2$\\n\\n2. **Second term ($2x^2$):**\\n * Bring the power (2) down to multiply by the coefficient (2) and subtract 1 from the exponent.\\n * Derivative: $2 \\\\cdot 2x^{2-1} = 4x^1$ or just $4x$\\n\\n3. **Third term ($-5x$):**\\n * This is technically $-5x^1$. Bring the power (1) down and subtract 1 from the exponent.\\n * Derivative: $1 \\\\cdot -5x^{1-1} = -5x^0$. Since $x^0 = 1$, this simplifies to just $-5$.\\n\\n4. **Fourth term ($1$):**\\n * The derivative of any constant number is always 0.\\n * Derivative: $0$\\n\\n**Combine the results:**\\n\\n$$ f'(x) = 3x^2 + 4x - 5 $$\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None, reasoning_content='**Deriving the Function**\\n\\nI\\'m currently focused on the core problem: calculating the derivative of the given function. I\\'ve dissected the request and recognized the user\\'s need for a step-by-step explanation. My plan is to apply the power rule to each term individually and sum them up. I\\'ll need to remember to correctly handle the constant term. I\\'m aiming for clarity in my approach, so I\\'ll present each step distinctly.\\n\\n\\n**Simplifying the Scope**\\n\\nI\\'ve been re-evaluating the perceived complexity. My initial framing was a bit overstated. While it\\'s a calculus problem, calling it \"complex\" might be misleading. I need to calibrate my language to reflect its actual level of difficulty. This is more of a straightforward application of fundamental rules, so I should ensure I don\\'t overcomplicate the explanation.\\n\\n\\n{\"text\": \"\"}'))], usage=Usage(completion_tokens=488, prompt_tokens=29, total_tokens=517, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=175, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" ] }, "execution_count": null, @@ -1973,6 +2135,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "gemini/gemini-3-pro-preview True\n", "gemini/gemini-2.5-flash True\n", "claude-sonnet-4-5 True\n", "openai/gpt-4.1 False\n" @@ -2000,25 +2163,26 @@ { "data": { "text/markdown": [ - "Otters are carnivorous mammals in the subfamily Lutrinae and members of the weasel family. The 14 extant otter species are all semiaquatic, both freshwater and marine. They're found on every continent except Australia and Antarctica.\n", - "\n", - "Otters are distinguished by their long, slim bodies, powerful webbed feet for swimming, and their dense fur, which keeps them warm and buoyant in water. In fact, otters have the densest fur of any animal—as many as a million hairs per square inch in places.\n", + "Here is a brief overview of otters:\n", "\n", - "All otters are expert hunters that eat fish, crustaceans, and other critters. They're known for being playful animals and sea otters famously use rocks as tools to crack open shellfish. When it's time to nap, sea otters entangle themselves in kelp so they don't float away.\n", - "\n", - "Many otter species were historically hunted nearly to extinction for their fur but have since recovered in some areas, though several species remain threatened by pollution and habitat loss.\n", + "* **What they are:** Otters are semi-aquatic carnivorous mammals that belong to the weasel family (Mustelidae).\n", + "* **Where they live:** There are 13 species found on every continent except Australia and Antarctica. They live in both freshwater (rivers, lakes) and marine environments (sea otters).\n", + "* **Physical traits:** They have sleek, streamlined bodies, webbed feet, and dense fur that traps air to keep them warm and buoyant. Sea otters have the thickest fur of any animal.\n", + "* **Diet:** They are active hunters that mostly eat fish, but also consume crustaceans, frogs, and sea urchins. They must eat a large amount (up to 25% of their body weight) daily to stay warm.\n", + "* **Behavior:** They are known for being intelligent and playful. Sea otters are notably one of the few animals that use tools, using rocks to crack open shellfish.\n", + "* **Conservation:** Sadly, 12 of the 13 species are currently in decline or endangered due to pollution, habitat loss, and hunting.\n", "\n", "
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\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n
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\\n brief facts about otters\\n
\\n
\\n'}, 'groundingChunks': [{'web': {'uri': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFNDjYgFkjhRtzuE58EZMWoRAWgI5ZFt8ofLS5AvPPZe2IzHZElnFFF_HsYpxao72wjkN7Avigq2mP6x8kCqwxN-9-Fuc5Av8rOoO158LV9mjFFeqxujeTbr7ZVKI6GbXDDi36kG6EgTz9EtKxJcAzniQTK-Xe8MM-35XgN', 'title': 'treehugger.com'}}, {'web': {'uri': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHk-It2-s4DcThtK7HJ5QgA2UPUEWzB2kZlh1IpK19nz0uv38nYeHj-SEGuTVYgAHusKY_wGed5rvc0LkngWyCNS2V2HJjVp15B-nZ1GUUyHWHuMp5fChtt7X4RL1W_PJ_NwtLOG-uk6ucr0vZxw1g=', 'title': 'mygreenworld.org'}}, {'web': {'uri': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHRVSbKYaUi2GnJe61fd42bcu0kNmk12OJ02PpWc-K-W2K5PD-BhIfjg8hF0Bkjs2EYM3XaxKDEmcpPA2zC0AKRDQEXxRZjKntJo99enBWWIJolvxqXHktJLLiykZWpOYEzPrtz6xJ_AkG31AfY_JKtIsJ5eG-a-WaIypXQZGqbwNPl', 'title': 'doi.gov'}}, {'web': {'uri': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEof8dLW1kz9nTrHfJsPOE0nvrHApbG_DPa_aPcqzNvdkmKHk1Vauj5TZn5I-9yCkQHXlO1jIHlDtXz4tk_2_3uzNGJhEWWfR9HoUDoRhVW1V-rK2COWa2lk0CCsLn1', 'title': 'wikipedia.org'}}], 'groundingSupports': [{'segment': {'startIndex': 37, 'endIndex': 150, 'text': '* **What they are:** Otters are semi-aquatic carnivorous mammals that belong to the weasel family (Mustelidae).'}, 'groundingChunkIndices': [0, 1, 2, 3]}, {'segment': {'startIndex': 151, 'endIndex': 254, 'text': '* **Where they live:** There are 13 species found on every continent except Australia and Antarctica.'}, 'groundingChunkIndices': [0]}, {'segment': {'startIndex': 255, 'endIndex': 337, 'text': 'They live in both freshwater (rivers, lakes) and marine environments (sea otters).'}, 'groundingChunkIndices': [3]}, {'segment': {'startIndex': 338, 'endIndex': 472, 'text': '* **Physical traits:** They have sleek, streamlined bodies, webbed feet, and dense fur that traps air to keep them warm and buoyant.'}, 'groundingChunkIndices': [3]}, {'segment': {'startIndex': 473, 'endIndex': 520, 'text': 'Sea otters have the thickest fur of any animal.'}, 'groundingChunkIndices': [2, 1]}], 'webSearchQueries': ['brief facts about otters']}], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -2053,18 +2217,108 @@ { "cell_type": "code", "execution_count": null, - "id": "cf84f8c8", + "id": "45e2a7cf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['searchEntryPoint', 'groundingChunks', 'groundingSupports', 'webSearchQueries'])" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "r['vertex_ai_grounding_metadata'][0].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da64e713", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['brief facts about otters']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "r['vertex_ai_grounding_metadata'][0]['webSearchQueries']" + ] + }, + { + "cell_type": "markdown", + "id": "689cdf9d", + "metadata": {}, + "source": [ + "Web search results:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "030d17a5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'web': {'uri': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFNDjYgFkjhRtzuE58EZMWoRAWgI5ZFt8ofLS5AvPPZe2IzHZElnFFF_HsYpxao72wjkN7Avigq2mP6x8kCqwxN-9-Fuc5Av8rOoO158LV9mjFFeqxujeTbr7ZVKI6GbXDDi36kG6EgTz9EtKxJcAzniQTK-Xe8MM-35XgN',\n", + " 'title': 'treehugger.com'}},\n", + " {'web': {'uri': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHk-It2-s4DcThtK7HJ5QgA2UPUEWzB2kZlh1IpK19nz0uv38nYeHj-SEGuTVYgAHusKY_wGed5rvc0LkngWyCNS2V2HJjVp15B-nZ1GUUyHWHuMp5fChtt7X4RL1W_PJ_NwtLOG-uk6ucr0vZxw1g=',\n", + " 'title': 'mygreenworld.org'}},\n", + " {'web': {'uri': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHRVSbKYaUi2GnJe61fd42bcu0kNmk12OJ02PpWc-K-W2K5PD-BhIfjg8hF0Bkjs2EYM3XaxKDEmcpPA2zC0AKRDQEXxRZjKntJo99enBWWIJolvxqXHktJLLiykZWpOYEzPrtz6xJ_AkG31AfY_JKtIsJ5eG-a-WaIypXQZGqbwNPl',\n", + " 'title': 'doi.gov'}}]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "r['vertex_ai_grounding_metadata'][0]['groundingChunks'][:3]" + ] + }, + { + "cell_type": "markdown", + "id": "8971dc08", + "metadata": {}, + "source": [ + "Citations in gemini: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eb79aef5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[{'type': 'web_search_result_location',\n", - " 'cited_text': 'Otters are carnivorous mammals in the subfamily Lutrinae. ',\n", - " 'url': 'https://en.wikipedia.org/wiki/Otter',\n", - " 'title': 'Otter - Wikipedia',\n", - " 'encrypted_index': 'Eo8BCioICBgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDMlacTT8THSDML7nuhoMyB3Xp2StEfWJOx72IjATEIYmZbwZDH+a0KRLuOHQx4nipGzmvy//B4ItZEaDN4t55aF0a+SnmlUY390IN18qE+y/CtqixJ/kgvGL2GCYkFhQRxMYBA==',\n", - " 'supported_text': 'carnivorous mammals in the subfamily Lutrinae'}]" + "[{'segment': {'startIndex': 37,\n", + " 'endIndex': 150,\n", + " 'text': '* **What they are:** Otters are semi-aquatic carnivorous mammals that belong to the weasel family (Mustelidae).'},\n", + " 'groundingChunkIndices': [0, 1, 2, 3]},\n", + " {'segment': {'startIndex': 151,\n", + " 'endIndex': 254,\n", + " 'text': '* **Where they live:** There are 13 species found on every continent except Australia and Antarctica.'},\n", + " 'groundingChunkIndices': [0]},\n", + " {'segment': {'startIndex': 255,\n", + " 'endIndex': 337,\n", + " 'text': 'They live in both freshwater (rivers, lakes) and marine environments (sea otters).'},\n", + " 'groundingChunkIndices': [3]}]" ] }, "execution_count": null, @@ -2073,7 +2327,7 @@ } ], "source": [ - "r.choices[0].message.provider_specific_fields['citations'][0]" + "r['vertex_ai_grounding_metadata'][0]['groundingSupports'][:3]" ] }, { @@ -2138,7 +2392,7 @@ } ], "source": [ - "r = list(c(smsg, stream=True, web_search_options={\"search_context_size\": \"low\"}))\n", + "r = list(c(smsg, ms[2], stream=True, web_search_options={\"search_context_size\": \"low\"}))\n", "cite_footnotes(r)\n", "stream_chunk_builder(r)" ] @@ -2242,7 +2496,7 @@ " cache_idxs = L(self.cache_idxs).filter().map(lambda o: o-1 if o>0 else o)\n", " else:\n", " cache_idxs = self.cache_idxs\n", - " if msg: self.hist = mk_msgs(self.hist+[msg], self.cache, cache_idxs, self.ttl)\n", + " if msg: self.hist = mk_msgs(self.hist+[msg], self.cache and 'claude' in self.model, cache_idxs, self.ttl)\n", " pf = [{\"role\":\"assistant\",\"content\":prefill}] if prefill else []\n", " return sp + self.hist + pf\n", "\n", @@ -2263,6 +2517,7 @@ " tools=self.tool_schemas, reasoning_effort = effort.get(think), tool_choice=tool_choice,\n", " # temperature is not supported when reasoning\n", " temperature=None if think else ifnone(temp,self.temp),\n", + " caching=self.cache and 'claude' not in self.model,\n", " **kwargs)\n", " if stream:\n", " if prefill: yield _mk_prefill(prefill)\n", @@ -2339,19 +2594,21 @@ { "data": { "text/markdown": [ - "Hey Rens! Nice to meet you. How can I help you today?\n", + "Hello, Rens! It's nice to meet you.\n", + "\n", + "How can I help you today?\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=20, prompt_tokens=14, total_tokens=34, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=134, prompt_tokens=6, total_tokens=140, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=114, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=6, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Hey Rens! Nice to meet you. How can I help you today?', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=20, prompt_tokens=14, total_tokens=34, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"Hello, Rens! It's nice to meet you.\\n\\nHow can I help you today?\", role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Hello, Rens! It\\'s nice to meet you.\\\\n\\\\nHow can I help you today?\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=134, prompt_tokens=6, total_tokens=140, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=114, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=6, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -2374,19 +2631,19 @@ { "data": { "text/markdown": [ - "Your name is Rens! You told me that when you introduced yourself at the start of our conversation.\n", + "Your name is Rens.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=25, prompt_tokens=42, total_tokens=67, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=113, prompt_tokens=51, total_tokens=164, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=108, rejected_prediction_tokens=None, text_tokens=5, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=51, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Your name is Rens! You told me that when you introduced yourself at the start of our conversation.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=25, prompt_tokens=42, total_tokens=67, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Your name is Rens.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Your name is Rens.\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=113, prompt_tokens=51, total_tokens=164, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=108, rejected_prediction_tokens=None, text_tokens=5, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=51, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -2418,9 +2675,9 @@ "data": { "text/plain": [ "[{'role': 'user', 'content': 'Hey my name is Rens'},\n", - " Message(content='Hey Rens! Nice to meet you. How can I help you today?', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}),\n", + " Message(content=\"Hello, Rens! It's nice to meet you.\\n\\nHow can I help you today?\", role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Hello, Rens! It\\'s nice to meet you.\\\\n\\\\nHow can I help you today?\"}', 'signature': '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'}], provider_specific_fields=None),\n", " {'role': 'user', 'content': 'Whats my name'},\n", - " Message(content='Your name is Rens! You told me that when you introduced yourself at the start of our conversation.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})]" + " Message(content='Your name is Rens.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Your name is Rens.\"}', 'signature': 'Es8DCswDAdHtim9E1SRx/7pv+6dk1F3Bx1/zTPQ63dsMeszwS9EoD0UKOgFSyifthrk+cMANW5X6vqr/k0XEL7lqeei4Vng1/jhhfIvmH0MjVxHvKX0DOl6Z746Oveg6NiUVJM7AunX5JHVpjZzALsEyCcSZs/n5EEwP8p+e47palqa30iDB3ivyxoy+INEy3TW84wZWvsD9Ju0jFt8qfahZrmcQtENED1/dUNOfOc/wCF6YiREm4KDgEX1PDlmnNwPhCaOHCjz2QsXLEVEkcDBwNMfnucwa4SHh44T2z0z2LyY0cjeqVKqjM2QuTwuG33XhCRC9OAnKXCnL5+wumm2YsgQvyA/+ho24bhDD1ALshJmDfzl3ySB4NoKckSbibrLP+onPtGvZPwsUez0jjE+/ourPwM0R4tGLTX8sgebn0gddkKKeN/5nH9qR6UEicmAg0q0aYfZmRDO/ZBMKwbiBmI+EKwDz1SU0LpCDzoww8igq62fSQcha0ioEHFA2J7W2eWHY2TzfMDm8e89dXU4dCHm0Zwe+4AwOcQDFAerSClEaGOBswb5DTV5rHdG8G3kPjefCFzz3F4A7w9DirpjycHMDhAUYIyXJTM4NOtMi6A=='}], provider_specific_fields=None)]" ] }, "execution_count": null, @@ -2449,19 +2706,19 @@ { "data": { "text/markdown": [ - "Your name is Rens! You've asked me a couple times now - just checking if I'm paying attention? 😊\n", + "Your name is Rens.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=30, prompt_tokens=76, total_tokens=106, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=134, prompt_tokens=69, total_tokens=203, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=129, rejected_prediction_tokens=None, text_tokens=5, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=69, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"Your name is Rens! You've asked me a couple times now - just checking if I'm paying attention? 😊\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=30, prompt_tokens=76, total_tokens=106, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Your name is Rens.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"Your name is Rens.\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=134, prompt_tokens=69, total_tokens=203, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=129, rejected_prediction_tokens=None, text_tokens=5, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=69, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -2492,814 +2749,16 @@ }, { "cell_type": "markdown", - "id": "26748132", - "metadata": {}, - "source": [ - "### Synthetic History Creation\n", - "\n", - "Lets build chat history step by step. That way we can tweak anything we need to during testing." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b8ef8d88", - "metadata": {}, - "outputs": [], - "source": [ - "pr = \"What is 5 + 7? Use the tool to calculate it.\"\n", - "c = Chat(model, tools=[simple_add])\n", - "res = c(pr)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b5ef0aeb", - "metadata": {}, - "outputs": [], - "source": [ - "#| export\n", - "@patch\n", - "def print_hist(self:Chat):\n", - " \"Print each message on a different line\"\n", - " for r in self.hist: print(r, end='\\n\\n')" - ] - }, - { - "cell_type": "markdown", - "id": "bde51fc9", + "id": "0678268a", "metadata": {}, "source": [ - "Whereas normally without tools we would get one user input and one assistant response. Here we get two extra messages in between.\n", - "- An assistant message requesting the tools with arguments.\n", - "- A tool response with the result to the tool call." + "### Images" ] }, { "cell_type": "code", "execution_count": null, - "id": "49792a9c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'role': 'user', 'content': 'What is 5 + 7? Use the tool to calculate it.'}\n", - "\n", - "Message(content=None, role='assistant', tool_calls=[{'index': 0, 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_012bi9eSyzhwaG3TgGpytJbc', 'type': 'function'}], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})\n", - "\n", - "{'tool_call_id': 'toolu_012bi9eSyzhwaG3TgGpytJbc', 'role': 'tool', 'name': 'simple_add', 'content': '12'}\n", - "\n", - "{'role': 'assistant', 'content': 'You have no more tool uses. Please summarize your findings. If you did not complete your goal please tell the user what further work needs to be done so they can choose how best to proceed.'}\n", - "\n", - "Message(content='\\n\\nThe result of 5 + 7 is **12**.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})\n", - "\n" - ] - } - ], - "source": [ - "c.print_hist()" - ] - }, - { - "cell_type": "markdown", - "id": "ab2eb0a2", - "metadata": {}, - "source": [ - "Lets try to build this up manually so we have full control over the inputs." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a37a77b6", - "metadata": {}, - "outputs": [], - "source": [ - "#| export\n", - "def random_tool_id():\n", - " \"Generate a random tool ID with 'toolu_' prefix\"\n", - " random_part = ''.join(random.choices(string.ascii_letters + string.digits, k=25))\n", - " return f'toolu_{random_part}'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f4a0bd16", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'toolu_0UAqFzWsDK4FrUMp48Y3tT3QD'" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "random_tool_id()" - ] - }, - { - "cell_type": "markdown", - "id": "d22e52b7", - "metadata": {}, - "source": [ - "A tool call request can contain one more or more tool calls. Lets make one." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e00e88b4", - "metadata": {}, - "outputs": [], - "source": [ - "#| export\n", - "def mk_tc(func, args, tcid=None, idx=1):\n", - " if not tcid: tcid = random_tool_id()\n", - " return {'index': idx, 'function': {'arguments': args, 'name': func}, 'id': tcid, 'type': 'function'}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "324b9182", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'index': 1,\n", - " 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'},\n", - " 'id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7',\n", - " 'type': 'function'}" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc = mk_tc(simple_add.__name__, json.dumps(dict(a=5, b=7)))\n", - "tc" - ] - }, - { - "cell_type": "markdown", - "id": "97da6222", - "metadata": {}, - "source": [ - "This can then be packged into the full Message object produced by the assitant." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "436abceb", - "metadata": {}, - "outputs": [], - "source": [ - "def mk_tc_req(content, tcs): return Message(content=content, role='assistant', tool_calls=tcs, function_call=None)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "94c031e7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Message(content=\"I'll use the simple_add tool to calculate 5 + 7 for you.\", role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=1, function=Function(arguments='{\"a\": 5, \"b\": 7}', name='simple_add'), id='toolu_gAL47D1qXIaSyZPaE1pu1lJo7', type='function')], function_call=None, provider_specific_fields=None)" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc_cts = \"I'll use the simple_add tool to calculate 5 + 7 for you.\"\n", - "tcq = mk_tc_req(tc_cts, [tc])\n", - "tcq" - ] - }, - { - "cell_type": "markdown", - "id": "0a1a0364", - "metadata": {}, - "source": [ - "Notice how Message instantiation creates a list of ChatCompletionMessageToolCalls by default. When the tools are executed this is converted back\n", - "to a dictionary, for consistency we want to keep these as dictionaries from the beginning." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "00cebbbb", - "metadata": {}, - "outputs": [], - "source": [ - "#| export\n", - "def mk_tc_req(content, tcs):\n", - " msg = Message(content=content, role='assistant', tool_calls=tcs, function_call=None)\n", - " msg.tool_calls = [{**dict(tc), 'function': dict(tc['function'])} for tc in msg.tool_calls]\n", - " return msg" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a0d3468d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Message(content=\"I'll use the simple_add tool to calculate 5 + 7 for you.\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7', 'type': 'function'}], function_call=None, provider_specific_fields=None)" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tcq = mk_tc_req(tc_cts, [tc])\n", - "tcq" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b75dc3e7", - "metadata": {}, - "outputs": [], - "source": [ - "c = Chat(model, tools=[simple_add], hist=[pr, tcq])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bd673382", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'role': 'user', 'content': 'What is 5 + 7? Use the tool to calculate it.'}\n", - "\n", - "Message(content=\"I'll use the simple_add tool to calculate 5 + 7 for you.\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7', 'type': 'function'}], function_call=None, provider_specific_fields=None)\n", - "\n" - ] - } - ], - "source": [ - "c.print_hist()" - ] - }, - { - "cell_type": "markdown", - "id": "c490dcfb", - "metadata": {}, - "source": [ - "Looks good so far! Now we will want to provide the actual result!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "59e69d43", - "metadata": {}, - "outputs": [], - "source": [ - "#| export\n", - "def mk_tc_result(tc, result): return {'tool_call_id': tc['id'], 'role': 'tool', 'name': tc['function']['name'], 'content': result}" - ] - }, - { - "cell_type": "markdown", - "id": "94067b82", - "metadata": {}, - "source": [ - "Note we might have more than one tool call if more than one was passed in, here we just will make one result." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "175b9d78", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'index': 1,\n", - " 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'},\n", - " 'id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7',\n", - " 'type': 'function'}" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tcq.tool_calls[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f969e27", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'tool_call_id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7',\n", - " 'role': 'tool',\n", - " 'name': 'simple_add',\n", - " 'content': '12'}" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mk_tc_result(tcq.tool_calls[0], '12')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e5d8e695", - "metadata": {}, - "outputs": [], - "source": [ - "#| export\n", - "def mk_tc_results(tcq, results): return [mk_tc_result(a,b) for a,b in zip(tcq.tool_calls, results)]" - ] - }, - { - "cell_type": "markdown", - "id": "90d8c658", - "metadata": {}, - "source": [ - "Same for here tcq.tool_calls will match the number of results passed in the results list." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bd6e2307", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Message(content=\"I'll use the simple_add tool to calculate 5 + 7 for you.\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7', 'type': 'function'}], function_call=None, provider_specific_fields=None)" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tcq" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "59c2f72e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'tool_call_id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7',\n", - " 'role': 'tool',\n", - " 'name': 'simple_add',\n", - " 'content': '12'}]" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tcr = mk_tc_results(tcq, ['12'])\n", - "tcr" - ] - }, - { - "cell_type": "markdown", - "id": "608b90d2", - "metadata": {}, - "source": [ - "Now we can call it with this synthetic data to see what the response is!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "efed96b7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "The result of 5 + 7 is **12**.\n", - "\n", - "
\n", - "\n", - "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", - "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=17, prompt_tokens=720, total_tokens=737, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", - "\n", - "
" - ], - "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='The result of 5 + 7 is **12**.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=17, prompt_tokens=720, total_tokens=737, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c(tcr[0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "db8e06d6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'role': 'user', 'content': 'What is 5 + 7? Use the tool to calculate it.'}\n", - "\n", - "Message(content=\"I'll use the simple_add tool to calculate 5 + 7 for you.\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7', 'type': 'function'}], function_call=None, provider_specific_fields=None)\n", - "\n", - "{'tool_call_id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7', 'role': 'tool', 'name': 'simple_add', 'content': '12'}\n", - "\n", - "Message(content='The result of 5 + 7 is **12**.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})\n", - "\n" - ] - } - ], - "source": [ - "c.print_hist()" - ] - }, - { - "cell_type": "markdown", - "id": "56b6af73", - "metadata": {}, - "source": [ - "Lets try this again, but lets give it something that is clearly wrong for fun." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "01a9049c", - "metadata": {}, - "outputs": [], - "source": [ - "c = Chat(model, tools=[simple_add], hist=[pr, tcq])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "59f546c0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'tool_call_id': 'toolu_gAL47D1qXIaSyZPaE1pu1lJo7',\n", - " 'role': 'tool',\n", - " 'name': 'simple_add',\n", - " 'content': '13'}]" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tcr = mk_tc_results(tcq, ['13'])\n", - "tcr" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f7befdf1", - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "The result of 5 + 7 is **12**.\n", - "\n", - "
\n", - "\n", - "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", - "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=17, prompt_tokens=720, total_tokens=737, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", - "\n", - "
" - ], - "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='The result of 5 + 7 is **12**.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=17, prompt_tokens=720, total_tokens=737, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c(tcr[0])" - ] - }, - { - "cell_type": "markdown", - "id": "84387429", - "metadata": {}, - "source": [ - "Lets make sure this works with multiple tool calls in the same assistant Message." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "027f9a15", - "metadata": {}, - "outputs": [], - "source": [ - "tcs = [\n", - " mk_tc(simple_add.__name__, json.dumps({\"a\": 5, \"b\": 7})), \n", - " mk_tc(simple_add.__name__, json.dumps({\"a\": 6, \"b\": 7})), \n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "44baa92b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Message(content='I will calculate these for you!', role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_XBetF5gIRHYH7LKBKxJsllLOD', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 6, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_fU25035HyRrY03K6JBO94XfLE', 'type': 'function'}], function_call=None, provider_specific_fields=None)" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tcq = mk_tc_req(\"I will calculate these for you!\", tcs)\n", - "tcq" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2abb6a8f", - "metadata": {}, - "outputs": [], - "source": [ - "tcr = mk_tc_results(tcq, ['12', '13'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "866aa31d", - "metadata": {}, - "outputs": [], - "source": [ - "c = Chat(model, tools=[simple_add], hist=[pr, tcq, tcr[0]])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5a9d9ecd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "5 + 7 = **12**\n", - "\n", - "
\n", - "\n", - "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", - "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=13, prompt_tokens=812, total_tokens=825, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", - "\n", - "
" - ], - "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='5 + 7 = **12**', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=13, prompt_tokens=812, total_tokens=825, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c(tcr[1])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ee111193", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'role': 'user', 'content': 'What is 5 + 7? Use the tool to calculate it.'}\n", - "\n", - "Message(content='I will calculate these for you!', role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_XBetF5gIRHYH7LKBKxJsllLOD', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 6, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_fU25035HyRrY03K6JBO94XfLE', 'type': 'function'}], function_call=None, provider_specific_fields=None)\n", - "\n", - "{'tool_call_id': 'toolu_XBetF5gIRHYH7LKBKxJsllLOD', 'role': 'tool', 'name': 'simple_add', 'content': '12'}\n", - "\n", - "{'tool_call_id': 'toolu_fU25035HyRrY03K6JBO94XfLE', 'role': 'tool', 'name': 'simple_add', 'content': '13'}\n", - "\n", - "Message(content='5 + 7 = **12**', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})\n", - "\n" - ] - } - ], - "source": [ - "c.print_hist()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3e5b97b6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "The result of 5 + 3 is **8**.\n", - "\n", - "
\n", - "\n", - "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", - "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=18, prompt_tokens=742, total_tokens=760, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", - "\n", - "
" - ], - "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\nThe result of 5 + 3 is **8**.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=18, prompt_tokens=742, total_tokens=760, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "chat = Chat(ms[1], tools=[simple_add])\n", - "res = chat(\"What's 5 + 3? Use the `simple_add` tool.\")\n", - "res" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6c84d6ef", - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "Here's a joke based on the number 8:\n", - "\n", - "Why was 6 afraid of 7?\n", - "\n", - "Because 7 8 (ate) 9!\n", - "\n", - "But since we got 8 as our answer, here's another one:\n", - "\n", - "What do you call an 8 that's been working out?\n", - "\n", - "An \"ate\" with great figure! 💪\n", - "\n", - "(Get it? Because 8 already has a great figure with those curves!)\n", - "\n", - "
\n", - "\n", - "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", - "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=100, prompt_tokens=774, total_tokens=874, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", - "\n", - "
" - ], - "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Here\\'s a joke based on the number 8:\\n\\nWhy was 6 afraid of 7?\\n\\nBecause 7 8 (ate) 9!\\n\\nBut since we got 8 as our answer, here\\'s another one:\\n\\nWhat do you call an 8 that\\'s been working out?\\n\\nAn \"ate\" with great figure! 💪\\n\\n(Get it? Because 8 already has a great figure with those curves!)', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=100, prompt_tokens=774, total_tokens=874, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "res = chat(\"Now, tell me a joke based on that result.\")\n", - "res" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d6a8bec1", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'role': 'user', 'content': \"What's 5 + 3? Use the `simple_add` tool.\"},\n", - " Message(content=None, role='assistant', tool_calls=[{'index': 0, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'toolu_016dgFwdeaQXSwLPnJzufcWq', 'type': 'function'}], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}),\n", - " {'tool_call_id': 'toolu_016dgFwdeaQXSwLPnJzufcWq',\n", - " 'role': 'tool',\n", - " 'name': 'simple_add',\n", - " 'content': '8'},\n", - " {'role': 'assistant',\n", - " 'content': 'You have no more tool uses. Please summarize your findings. If you did not complete your goal please tell the user what further work needs to be done so they can choose how best to proceed.'},\n", - " Message(content='\\n\\nThe result of 5 + 3 is **8**.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}),\n", - " {'role': 'user', 'content': 'Now, tell me a joke based on that result.'},\n", - " Message(content='Here\\'s a joke based on the number 8:\\n\\nWhy was 6 afraid of 7?\\n\\nBecause 7 8 (ate) 9!\\n\\nBut since we got 8 as our answer, here\\'s another one:\\n\\nWhat do you call an 8 that\\'s been working out?\\n\\nAn \"ate\" with great figure! 💪\\n\\n(Get it? Because 8 already has a great figure with those curves!)', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})]" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "chat.hist" - ] - }, - { - "cell_type": "markdown", - "id": "0678268a", - "metadata": {}, - "source": [ - "### Images" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "60942eeb", + "id": "60942eeb", "metadata": {}, "outputs": [ { @@ -3338,7 +2797,7 @@ } ], "source": [ - "chat = Chat(ms[1])\n", + "chat = Chat(ms[2])\n", "chat(['Whats in this img?',img_fn.read_bytes()])" ] }, @@ -3390,7 +2849,7 @@ } ], "source": [ - "chat = Chat(ms[1])\n", + "chat = Chat(ms[2])\n", "chat(\"Spell my name\",prefill=\"Your name is R E\")" ] }, @@ -3407,20 +2866,9 @@ "execution_count": null, "id": "dfbf54ca", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Message(content=\"Your name is R E D A C T E D\\n\\nI don't actually know your name - you haven't told me what it is yet! If you'd like me to spell your name, please let me know what it is first.\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "chat.hist[-1]" + "# chat.hist[-1]" ] }, { @@ -3477,7 +2925,7 @@ } ], "source": [ - "chat = Chat(model)\n", + "chat = Chat(ms[2])\n", "stream_gen = chat(\"Count to 5\", stream=True)\n", "for chunk in stream_gen:\n", " if isinstance(chunk, ModelResponse): display(chunk)\n", @@ -3497,41 +2945,12 @@ "execution_count": null, "id": "834c058f", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Okay! 6, 7, 8, 9, 10" - ] - }, - { - "data": { - "text/markdown": [ - "Okay! 6, 7, 8, 9, 10\n", - "\n", - "
\n", - "\n", - "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5`\n", - "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=12, prompt_tokens=44, total_tokens=56, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", - "\n", - "
" - ], - "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Okay! 6, 7, 8, 9, 10', role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None))], usage=Usage(completion_tokens=12, prompt_tokens=44, total_tokens=56, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "stream_gen = chat(\"Continue counting to 10\",\"Okay! 6, 7\",stream=True)\n", - "for chunk in stream_gen:\n", - " if isinstance(chunk, ModelResponse): display(chunk)\n", - " else: print(delta_text(chunk) or '',end='')" + "# stream_gen = chat(\"Continue counting to 10\",\"Okay! 6, 7\",stream=True)\n", + "# for chunk in stream_gen:\n", + "# if isinstance(chunk, ModelResponse): display(chunk)\n", + "# else: print(delta_text(chunk) or '',end='')" ] }, { @@ -3556,6 +2975,43 @@ "id": "1c4cf429", "metadata": {}, "outputs": [ + { + "data": { + "text/markdown": [ + "**gemini/gemini-3-pro-preview:**" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "\n", + "\n", + "The result of 5 + 3 is 8.\n", + "\n", + "I used the `simple_add` tool by inputting the numbers 5 and 3 as arguments `a` and `b`. The tool performed the addition operation and returned the sum, which is 8.\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gemini-3-pro-preview`\n", + "- finish_reason: `stop`\n", + "- usage: `Usage(completion_tokens=58, prompt_tokens=268, total_tokens=326, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=268, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\nThe result of 5 + 3 is 8.\\n\\nI used the `simple_add` tool by inputting the numbers 5 and 3 as arguments `a` and `b`. The tool performed the addition operation and returned the sum, which is 8.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=58, prompt_tokens=268, total_tokens=326, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=268, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "text/markdown": [ @@ -3704,14 +3160,14 @@ "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-2.5-flash`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=125, prompt_tokens=638, total_tokens=763, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=43, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=85, prompt_tokens=74, total_tokens=159, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=65, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=74, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'toolu_01SY1R38L37vhWpgNgQz2B5h', 'type': 'function'}], function_call=None, reasoning_content='The user is asking for the sum of 5 and 3. I have access to a simple_add function that can add two numbers together. I need to call it with a=5 and b=3.', thinking_blocks=[{'type': 'thinking', 'thinking': 'The user is asking for the sum of 5 and 3. I have access to a simple_add function that can add two numbers together. I need to call it with a=5 and b=3.', 'signature': 'EsECCkYICBgCKkAAt4o53ref9vo+AM5o8rsH4EUfXF9CD7g7Kq9x1jh6kIBPC7jCJrAqyEo1ft0HVR+xVchZCwkojynhHDrBVORUEgyhI3za9d2OzRkou/EaDH3qx5BNu0Ic7HCS3yIw+HjMTO/LPZch6arIUGKbD3TOqfc/GQuIMxBQANo4AwrAydtd2AgnrhF+cfCJlzfJKqgB5BV2k7v2O80y4A+m05cKsVOEyB/1XvAydhXhW0rf58jVxNlOEqhXK6+9iVtSFmJIuN91Z09aBzYFSmGg3Tx47Lj3lgotQuAmGVSBNPpV2e7pYk4K4HLen+8lG6uPtPKjH5dixoX/aKxqS3wQq5WIiME2XDkJSheX3dyWze9cSoxQ1CP5zfe2an1X0VEUoC70NW1EwYMyHT9mT4ZvCeuEFqUWmCQMFyj6GAE='}], provider_specific_fields={'citations': None, 'thinking_blocks': [{'type': 'thinking', 'thinking': 'The user is asking for the sum of 5 and 3. I have access to a simple_add function that can add two numbers together. I need to call it with a=5 and b=3.', 'signature': 'EsECCkYICBgCKkAAt4o53ref9vo+AM5o8rsH4EUfXF9CD7g7Kq9x1jh6kIBPC7jCJrAqyEo1ft0HVR+xVchZCwkojynhHDrBVORUEgyhI3za9d2OzRkou/EaDH3qx5BNu0Ic7HCS3yIw+HjMTO/LPZch6arIUGKbD3TOqfc/GQuIMxBQANo4AwrAydtd2AgnrhF+cfCJlzfJKqgB5BV2k7v2O80y4A+m05cKsVOEyB/1XvAydhXhW0rf58jVxNlOEqhXK6+9iVtSFmJIuN91Z09aBzYFSmGg3Tx47Lj3lgotQuAmGVSBNPpV2e7pYk4K4HLen+8lG6uPtPKjH5dixoX/aKxqS3wQq5WIiME2XDkJSheX3dyWze9cSoxQ1CP5zfe2an1X0VEUoC70NW1EwYMyHT9mT4ZvCeuEFqUWmCQMFyj6GAE='}]}))], usage=Usage(completion_tokens=125, prompt_tokens=638, total_tokens=763, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=43, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_d28a7823e5b747519cd916036ac9__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==', 'type': 'function'}], function_call=None, images=[], reasoning_content=\"**The Arithmetic of Simplicity**\\n\\nOkay, so I'm presented with a straightforward arithmetic problem - add 5 and 3. Nothing too complex for my expertise! The prompt tells me there's a handy `simple_add` tool for this. Perfect! It's designed to take two integer inputs, labeled `a` and `b`. Let's see, to get the desired result, I just need to feed `simple_add` with `a` set to 5 and `b` set to 3. That should be all it takes. Easy peasy.\\n\", thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=85, prompt_tokens=74, total_tokens=159, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=65, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=74, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3720,7 +3176,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01SY1R38L37vhWpgNgQz2B5h',\n", + "{'tool_call_id': 'call_d28a7823e5b747519cd916036ac9__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '8'}" @@ -3733,20 +3189,19 @@ "data": { "text/markdown": [ "\n", - "\n", - "5 + 3 = **8**\n", + "5 + 3 is 8.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-2.5-flash`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=14, prompt_tokens=816, total_tokens=830, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=8, prompt_tokens=277, total_tokens=285, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=277, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\n5 + 3 = **8**', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=14, prompt_tokens=816, total_tokens=830, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n5 + 3 is 8.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=8, prompt_tokens=277, total_tokens=285, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=277, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3754,7 +3209,7 @@ } ], "source": [ - "chat = Chat(model, tools=[simple_add])\n", + "chat = Chat(ms[1], tools=[simple_add])\n", "res = chat(\"What's 5 + 3?\",think='l',return_all=True)\n", "display(*res)" ] @@ -3777,33 +3232,29 @@ "name": "stdout", "output_type": "stream", "text": [ - "Otters are charismatic members of the weasel family found on every continent except Australia and Antarctica. There are 13 species in total, including sea otters and river otters.\n", + "Otters are carnivorous mammals belonging to the subfamily Lutrinae, part of the weasel family (Mustelidae). There are 14 extant species, all of which are semi-aquatic, living in both freshwater and marine environments.\n", "\n", - "These aquatic mammals have elongated bodies, long tails, and soft, dense fur. In fact, otters have the densest fur of any animal—as many as a million hairs per square inch. Webbed feet and powerful tails make otters strong swimmers.\n", - "\n", - "All otters are expert hunters that eat fish, crustaceans, and other critters. Sea otters float on their backs, place a rock on their chest, then smash mollusks down on it until it breaks open. They're also known for being playful animals, engaging in activities like sliding into water on natural slides." + "They are characterized by their long, slim bodies, short limbs, and powerful webbed feet, which aid in swimming. Most species also possess a long, muscular tail. Otters have incredibly dense, insulated fur, particularly sea otters, which helps them stay warm and buoyant in water as they lack a blubber layer. Their diet primarily consists of fish, but can also include frogs, birds, shellfish, crustaceans, and other invertebrates, depending on the species and availability. Otters are known for their playful behavior." ] }, { "data": { "text/markdown": [ - "Otters are [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") charismatic members of the weasel family found on every continent except Australia and Antarctica. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") There are 13 species in total, including sea otters and river otters.\n", - "\n", - "These aquatic mammals have [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") elongated bodies, long tails, and soft, dense fur. In fact, [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") otters have the densest fur of any animal—as many as a million hairs per square inch. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") Webbed feet and powerful tails make otters strong swimmers.\n", + "Otters are carnivorous mammals belonging to the subfamily Lutrinae, part of the weasel family (Mustelidae). There are 14 extant species, all of which are semi-aquatic, living in both freshwater and marine environments.\n", "\n", - "[*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") All otters are expert hunters that eat fish, crustaceans, and other critters. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") Sea otters float on their backs, place a rock on their chest, then smash mollusks down on it until it breaks open. They're also known for being [*](https://en.wikipedia.org/wiki/Otter \"Otter - Wikipedia\") playful animals, engaging in activities like sliding into water on natural slides.\n", + "They are characterized by their long, slim bodies, short limbs, and powerful webbed feet, which aid in swimming. Most species also possess a long, muscular tail. Otters have incredibly dense, insulated fur, particularly sea otters, which helps them stay warm and buoyant in water as they lack a blubber layer. Their diet primarily consists of fish, but can also include frogs, birds, shellfish, crustaceans, and other invertebrates, depending on the species and availability. Otters are known for their playful behavior.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5`\n", + "- model: `gemini-2.5-flash`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=362, prompt_tokens=15055, total_tokens=15417, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", + "- usage: `Usage(completion_tokens=245, prompt_tokens=12, total_tokens=257, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None)`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Otters are [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") charismatic members of the weasel family found on every continent except Australia and Antarctica. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") There are 13 species in total, including sea otters and river otters.\\n\\nThese aquatic mammals have [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") elongated bodies, long tails, and soft, dense fur. In fact, [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") otters have the densest fur of any animal—as many as a million hairs per square inch. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") Webbed feet and powerful tails make otters strong swimmers.\\n\\n[*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") All otters are expert hunters that eat fish, crustaceans, and other critters. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") Sea otters float on their backs, place a rock on their chest, then smash mollusks down on it until it breaks open. They\\'re also known for being [*](https://en.wikipedia.org/wiki/Otter \"Otter - Wikipedia\") playful animals, engaging in activities like sliding into water on natural slides.', role='assistant', tool_calls=[], function_call=None, provider_specific_fields=None))], usage=Usage(completion_tokens=362, prompt_tokens=15055, total_tokens=15417, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Otters are carnivorous mammals belonging to the subfamily Lutrinae, part of the weasel family (Mustelidae). There are 14 extant species, all of which are semi-aquatic, living in both freshwater and marine environments.\\n\\nThey are characterized by their long, slim bodies, short limbs, and powerful webbed feet, which aid in swimming. Most species also possess a long, muscular tail. Otters have incredibly dense, insulated fur, particularly sea otters, which helps them stay warm and buoyant in water as they lack a blubber layer. Their diet primarily consists of fish, but can also include frogs, birds, shellfish, crustaceans, and other invertebrates, depending on the species and availability. Otters are known for their playful behavior.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None, annotations=[{'type': 'url_citation', 'url_citation': {'start_index': 108, 'end_index': 217, 'url': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1IyEBRObRvRWMQz2RxKDoIBhxZnqqR1vgqBCzxFLnympfYEnN0bF4NFifycnBw9EZuoWzoI_AKMavwGnx8JPu250VKoesc1039BzKDy5m7gd-6fhKOaIO0gYf3Yg=', 'title': 'wikipedia.org'}}, {'type': 'url_citation', 'url_citation': {'start_index': 220, 'end_index': 331, 'url': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1IyEBRObRvRWMQz2RxKDoIBhxZnqqR1vgqBCzxFLnympfYEnN0bF4NFifycnBw9EZuoWzoI_AKMavwGnx8JPu250VKoesc1039BzKDy5m7gd-6fhKOaIO0gYf3Yg=', 'title': 'wikipedia.org'}}, {'type': 'url_citation', 'url_citation': {'start_index': 333, 'end_index': 380, 'url': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1IyEBRObRvRWMQz2RxKDoIBhxZnqqR1vgqBCzxFLnympfYEnN0bF4NFifycnBw9EZuoWzoI_AKMavwGnx8JPu250VKoesc1039BzKDy5m7gd-6fhKOaIO0gYf3Yg=', 'title': 'wikipedia.org'}}, {'type': 'url_citation', 'url_citation': {'start_index': 382, 'end_index': 528, 'url': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1IyEBRObRvRWMQz2RxKDoIBhxZnqqR1vgqBCzxFLnympfYEnN0bF4NFifycnBw9EZuoWzoI_AKMavwGnx8JPu250VKoesc1039BzKDy5m7gd-6fhKOaIO0gYf3Yg=', 'title': 'wikipedia.org'}}, {'type': 'url_citation', 'url_citation': {'start_index': 530, 'end_index': 694, 'url': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1IyEBRObRvRWMQz2RxKDoIBhxZnqqR1vgqBCzxFLnympfYEnN0bF4NFifycnBw9EZuoWzoI_AKMavwGnx8JPu250VKoesc1039BzKDy5m7gd-6fhKOaIO0gYf3Yg=', 'title': 'wikipedia.org'}}, {'type': 'url_citation', 'url_citation': {'start_index': 696, 'end_index': 739, 'url': 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1IyEBRObRvRWMQz2RxKDoIBhxZnqqR1vgqBCzxFLnympfYEnN0bF4NFifycnBw9EZuoWzoI_AKMavwGnx8JPu250VKoesc1039BzKDy5m7gd-6fhKOaIO0gYf3Yg=', 'title': 'wikipedia.org'}}]))], usage=Usage(completion_tokens=245, prompt_tokens=12, total_tokens=257, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" ] }, "metadata": {}, @@ -3811,7 +3262,7 @@ } ], "source": [ - "chat = Chat(model)\n", + "chat = Chat(ms[1])\n", "res = chat(\"Search the web and tell me very briefly about otters\", search='l', stream=True)\n", "for o in res:\n", " if isinstance(o, ModelResponse): sleep(0.01); display(o)\n", @@ -3843,24 +3294,22 @@ { "data": { "text/markdown": [ - "I'll solve this step by step using the addition function.\n", "\n", - "**Step 1:** First, let me calculate 5 + 3\n", "\n", - "🔧 simple_add({\"a\": 5, \"b\": 3})\n", + "🔧 simple_add({\"b\": 3, \"a\": 5})\n", "\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=100, prompt_tokens=617, total_tokens=717, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=142, prompt_tokens=94, total_tokens=236, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=124, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=94, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=\"I'll solve this step by step using the addition function.\\n\\n**Step 1:** First, let me calculate 5 + 3\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'toolu_01SykhkA2BGKXm9J56KCkz2B', 'type': 'function'}], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=100, prompt_tokens=617, total_tokens=717, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"b\": 3, \"a\": 5}', 'name': 'simple_add'}, 'id': 'call_b5b6c4b2fea34ea9b80dd8cd9bee__thought__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', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 3, \"a\": 5}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=142, prompt_tokens=94, total_tokens=236, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=124, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=94, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3869,7 +3318,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01SykhkA2BGKXm9J56KCkz2B',\n", + "{'tool_call_id': 'call_b5b6c4b2fea34ea9b80dd8cd9bee__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '8'}" @@ -3881,22 +3330,146 @@ { "data": { "text/markdown": [ - "**Step 2:** Now I'll add 7 to that result (8 + 7)\n", "\n", - "🔧 simple_add({\"a\": 8, \"b\": 7})\n", + "\n", + "🔧 simple_add({\"b\": 7, \"a\": 8})\n", "\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", + "- finish_reason: `tool_calls`\n", + "- usage: `Usage(completion_tokens=18, prompt_tokens=247, total_tokens=265, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=247, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 7, \"a\": 8}', 'name': 'simple_add'}, 'id': 'call_1015bdd54c39463aa62124ae6a5a__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 7, \"a\": 8}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=18, prompt_tokens=247, total_tokens=265, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=247, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'tool_call_id': 'call_1015bdd54c39463aa62124ae6a5a__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + " 'role': 'tool',\n", + " 'name': 'simple_add',\n", + " 'content': '15'}" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "\n", + "\n", + "🔧 simple_add({\"b\": 11, \"a\": 15})\n", + "\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gemini-3-pro-preview`\n", + "- finish_reason: `tool_calls`\n", + "- usage: `Usage(completion_tokens=20, prompt_tokens=279, total_tokens=299, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=279, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 11, \"a\": 15}', 'name': 'simple_add'}, 'id': 'call_7b486a5b17314e2db0254fd8df0d__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 11, \"a\": 15}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=20, prompt_tokens=279, total_tokens=299, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=279, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'tool_call_id': 'call_7b486a5b17314e2db0254fd8df0d__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + " 'role': 'tool',\n", + " 'name': 'simple_add',\n", + " 'content': '26'}" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "Here is the step-by-step solution:\n", + "\n", + "1. **First, solve the innermost parentheses:** (5 + 3) = 8\n", + "2. **Next, add the result to the next number:** (8 + 7) = 15\n", + "3. **Finally, add the last number:** 15 + 11 = 26\n", + "\n", + "The final answer is **26**.\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gemini-3-pro-preview`\n", + "- finish_reason: `stop`\n", + "- usage: `Usage(completion_tokens=88, prompt_tokens=313, total_tokens=401, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=313, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Here is the step-by-step solution:\\n\\n1. **First, solve the innermost parentheses:** (5 + 3) = 8\\n2. **Next, add the result to the next number:** (8 + 7) = 15\\n3. **Finally, add the last number:** 15 + 11 = 26\\n\\nThe final answer is **26**.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=88, prompt_tokens=313, total_tokens=401, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=313, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "chat = Chat(model, tools=[simple_add])\n", + "res = chat(\"What's ((5 + 3)+7)+11? Work step by step\", return_all=True, max_steps=5)\n", + "for r in res: display(r)" + ] + }, + { + "cell_type": "markdown", + "id": "a9f66101", + "metadata": {}, + "source": [ + "Some models support parallel tool calling. I.e. sending multiple tool call requests in one conversation step." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3ec77539", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "\n", + "\n", + "🔧 simple_add({\"a\": 5, \"b\": 3})\n", + "\n", + "\n", + "\n", + "🔧 simple_add({\"a\": 7, \"b\": 2})\n", + "\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gpt-4.1-2025-04-14`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=93, prompt_tokens=730, total_tokens=823, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=52, prompt_tokens=110, total_tokens=162, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=\"**Step 2:** Now I'll add 7 to that result (8 + 7)\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 8, \"b\": 7}', 'name': 'simple_add'}, 'id': 'toolu_013LrGqASqf9Bsk38scV5Pu7', 'type': 'function'}], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=93, prompt_tokens=730, total_tokens=823, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gpt-4.1-2025-04-14', object='chat.completion', system_fingerprint='fp_e24a1fec47', choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_qJXSxYvc2ZVHmyIxqQ9OocWM', 'type': 'function'}, {'function': {'arguments': '{\"a\": 7, \"b\": 2}', 'name': 'simple_add'}, 'id': 'call_hCgeAPtd0RhmeADBRWRvY0sG', 'type': 'function'}], function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage=Usage(completion_tokens=52, prompt_tokens=110, total_tokens=162, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None)), service_tier='default')" ] }, "metadata": {}, @@ -3905,10 +3478,22 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_013LrGqASqf9Bsk38scV5Pu7',\n", + "{'tool_call_id': 'call_qJXSxYvc2ZVHmyIxqQ9OocWM',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", - " 'content': '15'}" + " 'content': '8'}" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'tool_call_id': 'call_hCgeAPtd0RhmeADBRWRvY0sG',\n", + " 'role': 'tool',\n", + " 'name': 'simple_add',\n", + " 'content': '9'}" ] }, "metadata": {}, @@ -3917,22 +3502,22 @@ { "data": { "text/markdown": [ - "**Step 3:** Finally, I'll add 11 to that result (15 + 11)\n", "\n", - "🔧 simple_add({\"a\": 15, \"b\": 11})\n", + "\n", + "🔧 multiply({\"a\":8,\"b\":9})\n", "\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gpt-4.1-2025-04-14`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=94, prompt_tokens=836, total_tokens=930, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=17, prompt_tokens=178, total_tokens=195, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=\"**Step 3:** Finally, I'll add 11 to that result (15 + 11)\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 15, \"b\": 11}', 'name': 'simple_add'}, 'id': 'toolu_01RtpzYFxji9ZbQJtTjKwaCi', 'type': 'function'}], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=94, prompt_tokens=836, total_tokens=930, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gpt-4.1-2025-04-14', object='chat.completion', system_fingerprint='fp_433e8c8649', choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'function': {'arguments': '{\"a\":8,\"b\":9}', 'name': 'multiply'}, 'id': 'call_kgr84VKRjL9EjW1mWHizHQql', 'type': 'function'}], function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage=Usage(completion_tokens=17, prompt_tokens=178, total_tokens=195, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None)), service_tier='default')" ] }, "metadata": {}, @@ -3941,10 +3526,10 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01RtpzYFxji9ZbQJtTjKwaCi',\n", + "{'tool_call_id': 'call_kgr84VKRjL9EjW1mWHizHQql',\n", " 'role': 'tool',\n", - " 'name': 'simple_add',\n", - " 'content': '26'}" + " 'name': 'multiply',\n", + " 'content': '72'}" ] }, "metadata": {}, @@ -3953,24 +3538,21 @@ { "data": { "text/markdown": [ - "**Answer:** ((5 + 3) + 7) + 11 = **26**\n", + "(5 + 3) = 8 and (7 + 2) = 9. Multiplying these together: 8 × 9 = 72.\n", "\n", - "Here's the breakdown:\n", - "- 5 + 3 = 8\n", - "- 8 + 7 = 15\n", - "- 15 + 11 = 26\n", + "So, (5 + 3) × (7 + 2) = 72.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gpt-4.1-2025-04-14`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=67, prompt_tokens=943, total_tokens=1010, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=54, prompt_tokens=203, total_tokens=257, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"**Answer:** ((5 + 3) + 7) + 11 = **26**\\n\\nHere's the breakdown:\\n- 5 + 3 = 8\\n- 8 + 7 = 15\\n- 15 + 11 = 26\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=67, prompt_tokens=943, total_tokens=1010, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gpt-4.1-2025-04-14', object='chat.completion', system_fingerprint='fp_433e8c8649', choices=[Choices(finish_reason='stop', index=0, message=Message(content='(5 + 3) = 8 and (7 + 2) = 9. Multiplying these together: 8 × 9 = 72.\\n\\nSo, (5 + 3) × (7 + 2) = 72.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage=Usage(completion_tokens=54, prompt_tokens=203, total_tokens=257, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None)), service_tier='default')" ] }, "metadata": {}, @@ -3978,23 +3560,19 @@ } ], "source": [ - "chat = Chat(model, tools=[simple_add])\n", - "res = chat(\"What's ((5 + 3)+7)+11? Work step by step\", return_all=True, max_steps=5)\n", + "def multiply(a: int, b: int) -> int:\n", + " \"Multiply two numbers\"\n", + " return a * b\n", + "\n", + "chat = Chat('openai/gpt-4.1', tools=[simple_add, multiply])\n", + "res = chat(\"Calculate (5 + 3) * (7 + 2)\", max_steps=5, return_all=True)\n", "for r in res: display(r)" ] }, - { - "cell_type": "markdown", - "id": "a9f66101", - "metadata": {}, - "source": [ - "Some models support parallel tool calling. I.e. sending multiple tool call requests in one conversation step." - ] - }, { "cell_type": "code", "execution_count": null, - "id": "3ec77539", + "id": "6f3d9d99", "metadata": {}, "outputs": [ { @@ -4012,14 +3590,14 @@ "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `gpt-4.1-2025-04-14`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=52, prompt_tokens=110, total_tokens=162, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None))`\n", + "- usage: `Usage(completion_tokens=154, prompt_tokens=148, total_tokens=302, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=36, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=148, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gpt-4.1-2025-04-14', object='chat.completion', system_fingerprint='fp_e24a1fec47', choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_qJXSxYvc2ZVHmyIxqQ9OocWM', 'type': 'function'}, {'function': {'arguments': '{\"a\": 7, \"b\": 2}', 'name': 'simple_add'}, 'id': 'call_hCgeAPtd0RhmeADBRWRvY0sG', 'type': 'function'}], function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage=Usage(completion_tokens=52, prompt_tokens=110, total_tokens=162, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None)), service_tier='default')" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_44b99dbc399c4fdb87da99f2ffa9__thought__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', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 7, \"b\": 2}', 'name': 'simple_add'}, 'id': 'call_724754fdc7604281b6d835dd0271', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=154, prompt_tokens=148, total_tokens=302, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=36, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=148, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4028,7 +3606,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_qJXSxYvc2ZVHmyIxqQ9OocWM',\n", + "{'tool_call_id': 'call_44b99dbc399c4fdb87da99f2ffa9__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '8'}" @@ -4040,7 +3618,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_hCgeAPtd0RhmeADBRWRvY0sG',\n", + "{'tool_call_id': 'call_724754fdc7604281b6d835dd0271',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '9'}" @@ -4054,20 +3632,20 @@ "text/markdown": [ "\n", "\n", - "🔧 multiply({\"a\":8,\"b\":9})\n", + "🔧 multiply({\"a\": 8, \"b\": 9})\n", "\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `gpt-4.1-2025-04-14`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=17, prompt_tokens=178, total_tokens=195, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None))`\n", + "- usage: `Usage(completion_tokens=16, prompt_tokens=325, total_tokens=341, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=325, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gpt-4.1-2025-04-14', object='chat.completion', system_fingerprint='fp_433e8c8649', choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'function': {'arguments': '{\"a\":8,\"b\":9}', 'name': 'multiply'}, 'id': 'call_kgr84VKRjL9EjW1mWHizHQql', 'type': 'function'}], function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage=Usage(completion_tokens=17, prompt_tokens=178, total_tokens=195, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None)), service_tier='default')" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"a\": 8, \"b\": 9}', 'name': 'multiply'}, 'id': 'call_b4ee90a7a3c244ad9699316805f9__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"a\": 8, \"b\": 9}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=16, prompt_tokens=325, total_tokens=341, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=325, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4076,7 +3654,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_kgr84VKRjL9EjW1mWHizHQql',\n", + "{'tool_call_id': 'call_b4ee90a7a3c244ad9699316805f9__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '72'}" @@ -4088,21 +3666,19 @@ { "data": { "text/markdown": [ - "(5 + 3) = 8 and (7 + 2) = 9. Multiplying these together: 8 × 9 = 72.\n", - "\n", - "So, (5 + 3) × (7 + 2) = 72.\n", + "The result of (5 + 3) * (7 + 2) is 72.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `gpt-4.1-2025-04-14`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=54, prompt_tokens=203, total_tokens=257, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None))`\n", + "- usage: `Usage(completion_tokens=21, prompt_tokens=353, total_tokens=374, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=353, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gpt-4.1-2025-04-14', object='chat.completion', system_fingerprint='fp_433e8c8649', choices=[Choices(finish_reason='stop', index=0, message=Message(content='(5 + 3) = 8 and (7 + 2) = 9. Multiplying these together: 8 × 9 = 72.\\n\\nSo, (5 + 3) × (7 + 2) = 72.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage=Usage(completion_tokens=54, prompt_tokens=203, total_tokens=257, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None)), service_tier='default')" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='The result of (5 + 3) * (7 + 2) is 72.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=21, prompt_tokens=353, total_tokens=374, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=353, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4110,11 +3686,7 @@ } ], "source": [ - "def multiply(a: int, b: int) -> int:\n", - " \"Multiply two numbers\"\n", - " return a * b\n", - "\n", - "chat = Chat('openai/gpt-4.1', tools=[simple_add, multiply])\n", + "chat = Chat(model, tools=[simple_add, multiply])\n", "res = chat(\"Calculate (5 + 3) * (7 + 2)\", max_steps=5, return_all=True)\n", "for r in res: display(r)" ] @@ -4124,7 +3696,7 @@ "id": "dba4958f", "metadata": {}, "source": [ - "See it did the additions in one go!" + "See it did the additions in one go!l" ] }, { @@ -4132,7 +3704,7 @@ "id": "33b17e71", "metadata": {}, "source": [ - "We don't want the model to keep running tools indefinitely. Lets showcase how we can force thee model to stop after our specified number of toolcall rounds:" + "We don't want the model to keep running tools indefinitely. Lets showcase how we can force the model to stop after our specified number of toolcall rounds:" ] }, { @@ -4144,13 +3716,9 @@ { "data": { "text/markdown": [ - "I'll calculate this step by step, following the order of operations.\n", "\n", - "**Step 1:** Calculate the inner parentheses first\n", - "- (10 + 5) = ?\n", - "- (2 + 1) = ?\n", "\n", - "🔧 simple_add({\"a\": 10, \"b\": 5})\n", + "🔧 simple_add({\"b\": 5, \"a\": 10})\n", "\n", "\n", "\n", @@ -4160,14 +3728,14 @@ "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=173, prompt_tokens=792, total_tokens=965, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=149, prompt_tokens=215, total_tokens=364, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=112, rejected_prediction_tokens=None, text_tokens=37, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=215, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=\"I'll calculate this step by step, following the order of operations.\\n\\n**Step 1:** Calculate the inner parentheses first\\n- (10 + 5) = ?\\n- (2 + 1) = ?\", role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 10, \"b\": 5}', 'name': 'simple_add'}, 'id': 'toolu_01NZjJc2q4tMJZcS93T1WQHM', 'type': 'function'}, {'index': 2, 'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'toolu_013qQVARNY8a6shg4zo2TpNr', 'type': 'function'}], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=173, prompt_tokens=792, total_tokens=965, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"b\": 5, \"a\": 10}', 'name': 'simple_add'}, 'id': 'call_96b279a61dda4e658960aee98082__thought__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', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_c02440e830ee44989a6e0e6f13d6', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 5, \"a\": 10}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=149, prompt_tokens=215, total_tokens=364, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=112, rejected_prediction_tokens=None, text_tokens=37, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=215, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4176,7 +3744,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01NZjJc2q4tMJZcS93T1WQHM',\n", + "{'tool_call_id': 'call_96b279a61dda4e658960aee98082__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -4188,7 +3756,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_013qQVARNY8a6shg4zo2TpNr',\n", + "{'tool_call_id': 'call_c02440e830ee44989a6e0e6f13d6',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '3'}" @@ -4200,22 +3768,22 @@ { "data": { "text/markdown": [ - "**Step 2:** Multiply 15 * 3\n", "\n", - "🔧 multiply({\"a\": 15, \"b\": 3})\n", + "\n", + "🔧 multiply({\"b\": 3, \"a\": 15})\n", "\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=82, prompt_tokens=1030, total_tokens=1112, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=48, prompt_tokens=388, total_tokens=436, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=17, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=388, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content='**Step 2:** Multiply 15 * 3', role='assistant', tool_calls=[{'index': 1, 'function': {'arguments': '{\"a\": 15, \"b\": 3}', 'name': 'multiply'}, 'id': 'toolu_01Uf17eEfZPHcqFo1C3PYZ5E', 'type': 'function'}], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=82, prompt_tokens=1030, total_tokens=1112, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_7d071875480b40b9b48956982929__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}', 'signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}], provider_specific_fields=None))], usage=Usage(completion_tokens=48, prompt_tokens=388, total_tokens=436, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=17, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=388, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4224,7 +3792,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01Uf17eEfZPHcqFo1C3PYZ5E',\n", + "{'tool_call_id': 'call_7d071875480b40b9b48956982929__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '45'}" @@ -4238,19 +3806,20 @@ "text/markdown": [ "\n", "\n", - "**Step 3:** Divide 45 / 3\n", + "The expression is now `45 / 3`.\n", + "The next step is to divide 45 by 3.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=23, prompt_tokens=1139, total_tokens=1162, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=26, prompt_tokens=460, total_tokens=486, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=460, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\n**Step 3:** Divide 45 / 3', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=23, prompt_tokens=1139, total_tokens=1162, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\nThe expression is now `45 / 3`.\\nThe next step is to divide 45 by 3.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=26, prompt_tokens=460, total_tokens=486, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=460, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4310,19 +3879,25 @@ "text/markdown": [ "\n", "\n", - "Let me continue with the next calculation. Now I'll add 2 to the result (3+2):\n", + "The first calculation is 1 + 2 = 3.\n", + "\n", + "Next, adding 2 to that result gives 3 + 2 = 5.\n", + "\n", + "Finally, adding 3 to that result gives 5 + 3 = 8.\n", + "\n", + "So, the final result is **8**.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=33, prompt_tokens=777, total_tokens=810, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=62, prompt_tokens=298, total_tokens=360, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=298, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"\\n\\nLet me continue with the next calculation. Now I'll add 2 to the result (3+2):\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=33, prompt_tokens=777, total_tokens=810, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\nThe first calculation is 1 + 2 = 3.\\n\\nNext, adding 2 to that result gives 3 + 2 = 5.\\n\\nFinally, adding 3 to that result gives 5 + 3 = 8.\\n\\nSo, the final result is **8**.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=62, prompt_tokens=298, total_tokens=360, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=298, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -4423,6 +3998,7 @@ " tools=self.tool_schemas, reasoning_effort=effort.get(think), tool_choice=tool_choice,\n", " # temperature is not supported when reasoning\n", " temperature=None if think else ifnone(temp,self.temp), \n", + " caching=self.cache and 'claude' not in self.model,\n", " **kwargs)\n", " if stream:\n", " if prefill: yield _mk_prefill(prefill)\n", @@ -4490,19 +4066,19 @@ { "data": { "text/markdown": [ - "2+2 = 4\n", + "2 + 2 is **4**.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=11, prompt_tokens=14, total_tokens=25, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=111, prompt_tokens=8, total_tokens=119, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=103, rejected_prediction_tokens=None, text_tokens=8, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=8, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='2+2 = 4', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=11, prompt_tokens=14, total_tokens=25, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='2 + 2 is **4**.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"2 + 2 is **4**.\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=111, prompt_tokens=8, total_tokens=119, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=103, rejected_prediction_tokens=None, text_tokens=8, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=8, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -4547,20 +4123,20 @@ "text/markdown": [ "\n", "\n", - "🔧 async_add({\"a\": 5, \"b\": 7})\n", + "🔧 async_add({\"b\": 7, \"a\": 5})\n", "\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `tool_calls`\n", - "- usage: `Usage(completion_tokens=70, prompt_tokens=607, total_tokens=677, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=136, prompt_tokens=77, total_tokens=213, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=77, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, function=Function(arguments='{\"a\": 5, \"b\": 7}', name='async_add'), id='toolu_01NHDNkcpwxW66XRuRFChLxe', type='function')], function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=70, prompt_tokens=607, total_tokens=677, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 7, \"a\": 5}', name='async_add'), id='call_fbcfb91534794b3e8a1736c4686e__thought__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', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"async_add\", \"args\": {\"b\": 7, \"a\": 5}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=136, prompt_tokens=77, total_tokens=213, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=77, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4569,7 +4145,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01NHDNkcpwxW66XRuRFChLxe',\n", + "{'tool_call_id': 'call_fbcfb91534794b3e8a1736c4686e__thought__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',\n", " 'role': 'tool',\n", " 'name': 'async_add',\n", " 'content': '12'}" @@ -4583,19 +4159,19 @@ "text/markdown": [ "\n", "\n", - "The result of 5 + 7 is **12**.\n", + "The result of 5 + 7 is 12.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=18, prompt_tokens=731, total_tokens=749, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=14, prompt_tokens=265, total_tokens=279, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=265, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\nThe result of 5 + 7 is **12**.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=18, prompt_tokens=731, total_tokens=749, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='\\n\\nThe result of 5 + 7 is 12.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=14, prompt_tokens=265, total_tokens=279, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=265, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4618,7 +4194,7 @@ "data": { "text/plain": [ "[{'role': 'user', 'content': 'What is 2+2?'},\n", - " Message(content='2+2 = 4', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None})]" + " Message(content='2 + 2 is **4**.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"2 + 2 is **4**.\"}', 'signature': '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'}], provider_specific_fields=None)]" ] }, "execution_count": null, @@ -4658,10 +4234,10 @@ "text": [ "\n", "🔧 async_add\n", - "{'tool_call_id': 'toolu_011RxwEK3HSc3VQwwsBZnXnV', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n", + "{'tool_call_id': 'call_a969034f92974a7f8e667a8bfbf9__thought__EoQECoEEAdHtim9V71O5FoSJ6wUF5IbxfHp2gwZ0RMUNZVyF9U0g4VT8XdSqsgsFdRujmqNlZ3GYNbxJEJUuTSkIwf3j735YKj2+d4jI0+MgcYk6LQlLkqF5G1V+fpD3q78t1iwFgkkBdr/XLjpZY4hzN/jR7wrYAKujv7psveI6IBeZZgAudmFVuWjRaXnFRThH8RgSpOxPtSljx3lD2SdK562GW4KezglrIy/niU9ZeLyTgB5rbOgy5xVohO+Z+NJXfrcx7QjFdwiJO4e3CkSBIt9eCVDCzExytcUNjnETPvZuyAkjtyWhWKVr09GiGsnTbi/dg6w4jy8bmdbHdyPVaqQ7Vvprq8vFOfsrhIAvkpPOLzprphCBk5JmcO2eIBg2jYXlSQfiBzBSF0xCO4vo4yMCJS76muBk0rP3MU0670iReQ3kH537sM8Oak9WUzKtBkeZEu2kCyTRP0XPFk8JQArxveHhBQrNTcICNdDtKpBEY7+gFJS+wLBsyFCpy2U9Xue1mwNaUsCdEcIEDwbMGaUUIxpnQa7CgdsDwRtgxNYeWYalKF6Qk33kOp5hXDxUS3BrFt/4Fb7vG1fAjcynj8KhxGnRlWknR+GF4lceeSgoFrheyKVwin9JiFAUEs2Kw1jMYloTZXXhcAySE4q1RerZYy/ogU9qfPaKU+G/IEjaAact', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n", "\n", "\n", - "The result of 5 + 7 is **12**." + "The result of 5 + 7 is 12." ] } ], @@ -4810,9 +4386,9 @@ " res = ''\n", " if isinstance(o, ModelResponseStream):\n", " d = o.choices[0].delta\n", - " if nested_idx(d, 'reasoning_content'): \n", + " if nested_idx(d, 'reasoning_content') and d['reasoning_content']!='{\"text\": \"\"}': \n", " self.think = True\n", - " res += '🧠'\n", + " res += '🧠' if not self.outp or self.outp[-1]=='🧠' else '\\n\\n🧠'\n", " elif self.think:\n", " self.think = False\n", " res += '\\n\\n'\n", @@ -4995,18 +4571,20 @@ { "data": { "text/markdown": [ + "🧠\n", + "\n", "\n", "\n", "
\n", "\n", "```json\n", "{\n", - " \"id\": \"toolu_011RxwEK3HSc3VQwwsBZnXnV\",\n", + " \"id\": \"call_a595070a319649928f902331ce2c__thought__EoQECoEEAdHtim9V71O5FoSJ6wUF5IbxfHp2gwZ0RMUNZVyF9U0g4VT8XdSqsgsFdRujmqNlZ3GYNbxJEJUuTSkIwf3j735YKj2+d4jI0+MgcYk6LQlLkqF5G1V+fpD3q78t1iwFgkkBdr/XLjpZY4hzN/jR7wrYAKujv7psveI6IBeZZgAudmFVuWjRaXnFRThH8RgSpOxPtSljx3lD2SdK562GW4KezglrIy/niU9ZeLyTgB5rbOgy5xVohO+Z+NJXfrcx7QjFdwiJO4e3CkSBIt9eCVDCzExytcUNjnETPvZuyAkjtyWhWKVr09GiGsnTbi/dg6w4jy8bmdbHdyPVaqQ7Vvprq8vFOfsrhIAvkpPOLzprphCBk5JmcO2eIBg2jYXlSQfiBzBSF0xCO4vo4yMCJS76muBk0rP3MU0670iReQ3kH537sM8Oak9WUzKtBkeZEu2kCyTRP0XPFk8JQArxveHhBQrNTcICNdDtKpBEY7+gFJS+wLBsyFCpy2U9Xue1mwNaUsCdEcIEDwbMGaUUIxpnQa7CgdsDwRtgxNYeWYalKF6Qk33kOp5hXDxUS3BrFt/4Fb7vG1fAjcynj8KhxGnRlWknR+GF4lceeSgoFrheyKVwin9JiFAUEs2Kw1jMYloTZXXhcAySE4q1RerZYy/ogU9qfPaKU+G/IEjaAact\",\n", " \"call\": {\n", " \"function\": \"async_add\",\n", " \"arguments\": {\n", - " \"a\": \"5\",\n", - " \"b\": \"7\"\n", + " \"b\": \"7\",\n", + " \"a\": \"5\"\n", " }\n", " },\n", " \"result\": \"12\"\n", @@ -5017,7 +4595,7 @@ "\n", "\n", "\n", - "The result of 5 + 7 is **12**." + "The result of 5 + 7 is 12." ], "text/plain": [ "" @@ -5050,22 +4628,15 @@ { "data": { "text/markdown": [ - "🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠🧠\n", + "🧠🧠\n", "\n", - "# Use your language's built-in sort\n", + "The most efficient way is to use your programming language's **built-in sort function** (e.g., `sort()` in Python or C++, `Arrays.sort()` in Java).\n", "\n", - "For 1000 random integers, **use your language's built-in sort function** (e.g., Python's `sorted()`, Java's `Arrays.sort()`, C++'s `std::sort()`).\n", + "Here is why:\n", "\n", - "These implementations use highly optimized algorithms like:\n", - "- **Timsort** (Python/Java) \n", - "- **Introsort** (C++)\n", - "- **Dual-pivot Quicksort** (Java primitives)\n", - "\n", - "All are O(n log n) and will outperform hand-coded solutions for this dataset size.\n", - "\n", - "---\n", - "\n", - "**If implementing yourself**: Use **Quicksort** or **Mergesort** — both O(n log n) average case and efficient for this size." + "1. **Algorithm:** These standard libraries almost always implement **Timsort** (Python, Java) or **Introsort** (C++, .NET), which are highly optimized hybrid algorithms (O(n log n)) specifically tuned for real-world data.\n", + "2. **Scale:** For N=1000, the overhead of implementing a complex algorithm yourself (like Radix sort) usually outweighs the theoretical gains.\n", + "3. **Optimization:** Built-in functions run in compiled, low-level code that is significantly faster than any custom implementation you write in a high-level language." ], "text/plain": [ "" @@ -5077,8 +4648,7 @@ ], "source": [ "chat = AsyncChat(model)\n", - "res = await chat(\"Briefly, what's the most efficient way to sort a list of 1000 random integers?\",\n", - " think='l',stream=True)\n", + "res = await chat(\"Briefly, what's the most efficient way to sort a list of 1000 random integers?\", think='l',stream=True)\n", "_ = await adisplay_stream(res)" ] }, @@ -5099,18 +4669,15 @@ { "data": { "text/markdown": [ - "I'll calculate ((10 + 5) * 3) / (2 + 1) step by step, using parallel calls where possible.\n", + "🧠\n", + "\n", "\n", - "**Batch 1: Calculate the independent additions**\n", - "Let me start by calculating the two addition operations that don't depend on each other:\n", - "- 10 + 5 (for the numerator)\n", - "- 2 + 1 (for the denominator)\n", "\n", "
\n", "\n", "```json\n", "{\n", - " \"id\": \"toolu_017kxrJ18BiKbYNV5vuJ4Lpf\",\n", + " \"id\": \"call_c1e953370e2e405098f229a8298d__thought__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\",\n", " \"call\": {\n", " \"function\": \"simple_add\",\n", " \"arguments\": {\n", @@ -5130,7 +4697,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"toolu_01XnKDfoAU6uqAL1V8CFwUwS\",\n", + " \"id\": \"call_d1cfd9f515b642918775e4e1fe1f\",\n", " \"call\": {\n", " \"function\": \"simple_add\",\n", " \"arguments\": {\n", @@ -5144,24 +4711,30 @@ "\n", "
\n", "\n", - "**After Batch 1:** We have:\n", - "- 10 + 5 = 15\n", - "- 2 + 1 = 3\n", - "- So our expression is now: (15 * 3) / 3\n", + "We start by calculating the innermost parentheses in parallel.\n", + "\n", + "* **Batch 1:**\n", + " * `10 + 5` = 15\n", + " * `2 + 1` = 3\n", + "\n", + "Now the expression looks like this: `(15 * 3) / 3`.\n", + "\n", + "Next, we need to handle the multiplication in the numerator. Since the division depends on this result, we can only do one operation in this step.\n", + "\n", + "🧠\n", + "\n", "\n", - "**Batch 2: Calculate the multiplication**\n", - "Now I need to multiply 15 * 3 before I can do the final division:\n", "\n", "
\n", "\n", "```json\n", "{\n", - " \"id\": \"toolu_01P6iHCianQyB3sfxXquqKik\",\n", + " \"id\": \"call_7ccf232e875a493f820bbb696bd8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==\",\n", " \"call\": {\n", " \"function\": \"multiply\",\n", " \"arguments\": {\n", - " \"a\": \"15\",\n", - " \"b\": \"3\"\n", + " \"b\": \"3\",\n", + " \"a\": \"15\"\n", " }\n", " },\n", " \"result\": \"45\"\n", @@ -5172,11 +4745,17 @@ "\n", "\n", "\n", - "**After Batch 2:** We have:\n", - "- 15 * 3 = 45\n", - "- So our expression is now: 45 / 3\n", + "* **Batch 2:**\n", + " * `15 * 3` = 45\n", + "\n", + "Now the expression has been simplified to: `45 / 3`.\n", + "\n", + "We are ready for the final division step.\n", + "\n", + "Let's calculate the final result.\n", + "`45 / 3` = 15.\n", "\n", - "**Batch 3: Calculate the final division**" + "The final answer is **15**." ], "text/plain": [ "" @@ -5204,7 +4783,7 @@ { "data": { "text/plain": [ - "Message(content=\"I'll calculate ((10 + 5) * 3) / (2 + 1) step by step, using parallel calls where possible.\\n\\n**Batch 1: Calculate the independent additions**\\nLet me start by calculating the two addition operations that don't depend on each other:\\n- 10 + 5 (for the numerator)\\n- 2 + 1 (for the denominator)\", role='assistant', tool_calls=[{'function': {'arguments': '{\"a\": 10, \"b\": 5}', 'name': 'simple_add'}, 'id': 'toolu_017kxrJ18BiKbYNV5vuJ4Lpf', 'type': 'function'}, {'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'toolu_01XnKDfoAU6uqAL1V8CFwUwS', 'type': 'function'}], function_call=None, provider_specific_fields=None)" + "Message(content=None, role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 10, \"b\": 5}', 'name': 'simple_add'}, 'id': 'call_c1e953370e2e405098f229a8298d__thought__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', 'type': 'function'}, {'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_d1cfd9f515b642918775e4e1fe1f', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 10, \"b\": 5}}}')" ] }, "execution_count": null, @@ -5225,7 +4804,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_017kxrJ18BiKbYNV5vuJ4Lpf',\n", + "{'tool_call_id': 'call_c1e953370e2e405098f229a8298d__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -5249,7 +4828,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01XnKDfoAU6uqAL1V8CFwUwS',\n", + "{'tool_call_id': 'call_d1cfd9f515b642918775e4e1fe1f',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '3'}" @@ -5273,7 +4852,7 @@ { "data": { "text/plain": [ - "Message(content='**After Batch 1:** We have:\\n- 10 + 5 = 15\\n- 2 + 1 = 3\\n- So our expression is now: (15 * 3) / 3\\n\\n**Batch 2: Calculate the multiplication**\\nNow I need to multiply 15 * 3 before I can do the final division:', role='assistant', tool_calls=[{'function': {'arguments': '{\"a\": 15, \"b\": 3}', 'name': 'multiply'}, 'id': 'toolu_01P6iHCianQyB3sfxXquqKik', 'type': 'function'}], function_call=None, provider_specific_fields=None)" + "Message(content='We start by calculating the innermost parentheses in parallel.\\n\\n* **Batch 1:**\\n * `10 + 5` = 15\\n * `2 + 1` = 3\\n\\nNow the expression looks like this: `(15 * 3) / 3`.\\n\\nNext, we need to handle the multiplication in the numerator. Since the division depends on this result, we can only do one operation in this step.', role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_7ccf232e875a493f820bbb696bd8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}')" ] }, "execution_count": null, @@ -5294,7 +4873,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'toolu_01P6iHCianQyB3sfxXquqKik',\n", + "{'tool_call_id': 'call_7ccf232e875a493f820bbb696bd8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '45'}" @@ -5326,32 +4905,35 @@ { "data": { "text/markdown": [ - "We just calculated the mathematical expression **((10 + 5) * 3) / (2 + 1)** step by step!\n", + "We just solved the mathematical expression `((10 + 5) * (2 + 1)) / 3` step-by-step using a specific order of operations (PEMDAS/BODMAS).\n", "\n", - "Here's what happened:\n", + "Here is the breakdown of the steps we took:\n", "\n", - "1. **First**, I calculated the two additions in parentheses:\n", - " - 10 + 5 = 15\n", - " - 2 + 1 = 3\n", + "1. **Addition (Parentheses):** First, we calculated the sums inside the two sets of inner parentheses.\n", + " * `10 + 5` became **15**.\n", + " * `2 + 1` became **3**.\n", + " * *Current state:* `(15 * 3) / 3`\n", "\n", - "2. **Then**, I multiplied the first result by 3:\n", - " - 15 * 3 = 45\n", + "2. **Multiplication:** Next, we multiplied the results of those additions together.\n", + " * `15 * 3` became **45**.\n", + " * *Current state:* `45 / 3`\n", "\n", - "3. **Finally**, I was about to divide 45 by 3 to get the final answer (which would be 15), but you asked me this question before I completed that last step!\n", + "3. **Division:** Finally, we divided that result by 3.\n", + " * `45 / 3` resulted in **15**.\n", "\n", - "So we were working through a math problem using function calls, following the proper order of operations (parentheses first, then multiplication/division from left to right).\n", + "So, the final answer was **15**.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", + "- model: `gemini-3-pro-preview`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=188, prompt_tokens=1262, total_tokens=1450, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=355, prompt_tokens=483, total_tokens=838, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=130, rejected_prediction_tokens=None, text_tokens=225, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=483, image_tokens=None))`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"We just calculated the mathematical expression **((10 + 5) * 3) / (2 + 1)** step by step!\\n\\nHere's what happened:\\n\\n1. **First**, I calculated the two additions in parentheses:\\n - 10 + 5 = 15\\n - 2 + 1 = 3\\n\\n2. **Then**, I multiplied the first result by 3:\\n - 15 * 3 = 45\\n\\n3. **Finally**, I was about to divide 45 by 3 to get the final answer (which would be 15), but you asked me this question before I completed that last step!\\n\\nSo we were working through a math problem using function calls, following the proper order of operations (parentheses first, then multiplication/division from left to right).\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=188, prompt_tokens=1262, total_tokens=1450, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='We just solved the mathematical expression `((10 + 5) * (2 + 1)) / 3` step-by-step using a specific order of operations (PEMDAS/BODMAS).\\n\\nHere is the breakdown of the steps we took:\\n\\n1. **Addition (Parentheses):** First, we calculated the sums inside the two sets of inner parentheses.\\n * `10 + 5` became **15**.\\n * `2 + 1` became **3**.\\n * *Current state:* `(15 * 3) / 3`\\n\\n2. **Multiplication:** Next, we multiplied the results of those additions together.\\n * `15 * 3` became **45**.\\n * *Current state:* `45 / 3`\\n\\n3. **Division:** Finally, we divided that result by 3.\\n * `45 / 3` resulted in **15**.\\n\\nSo, the final answer was **15**.', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"text\": \"We just solved the mathematical expression `((10 + 5) * (2 + 1)) / 3` step-by-step using a specific order of operations (PEMDAS/BODMAS).\\\\n\\\\nHere is the breakdown of the steps we took:\\\\n\\\\n1. **Addition (Parentheses):** First, we calculated the sums inside the two sets of inner parentheses.\\\\n * `10 + 5` became **15**.\\\\n * `2 + 1` became **3**.\\\\n * *Current state:* `(15 * 3) / 3`\\\\n\\\\n2. **Multiplication:** Next, we multiplied the results of those additions together.\\\\n * `15 * 3` became **45**.\\\\n * *Current state:* `45 / 3`\\\\n\\\\n3. **Division:** Finally, we divided that result by 3.\\\\n * `45 / 3` resulted in **15**.\\\\n\\\\nSo, the final answer was **15**.\"}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=355, prompt_tokens=483, total_tokens=838, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=130, rejected_prediction_tokens=None, text_tokens=225, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=483, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "execution_count": null, @@ -5381,11 +4963,12 @@ { "data": { "text/markdown": [ - "Otters are [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") charismatic members of the weasel family found on every continent except Australia and Antarctica. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") There are 13 species in total, including sea otters and river otters.\n", - "\n", - "These aquatic mammals have [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") elongated bodies, long tails, and soft, dense fur. In fact, [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") otters have the densest fur of any animal—as many as a million hairs per square inch. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") Webbed feet and powerful tails make otters strong swimmers.\n", + "Current weather conditions for New York City as of Tuesday, November 25, 2025:\n", "\n", - "[*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") All otters are expert hunters that eat fish, crustaceans, and other critters. [*](https://www.nationalgeographic.com/animals/mammals/facts/otters-1 \"Otters, facts and information | National Geographic\") Sea otters float on their backs, place a rock on their chest, then smash mollusks down on it until it breaks open. They're also known for being [*](https://en.wikipedia.org/wiki/Otter \"Otter - Wikipedia\") playful animals, engaging in activities like sliding into water on natural slides." + "* **Current Conditions:** It is currently cloudy.\n", + "* **Temperature:** The temperature is approximately **45°F to 48°F** (7°C to 9°C).\n", + "* **Forecast for Today:** Expect clouds to persist with rain likely developing later in the afternoon (mainly after 1 PM). Highs should reach the mid-to-upper 50s (around 56°F - 59°F).\n", + "* **Tonight:** Rain is expected to continue into the night, with temperatures remaining relatively mild, dropping only to around 54°F." ], "text/plain": [ "" @@ -5397,7 +4980,7 @@ ], "source": [ "chat_stream_tools = AsyncChat(model, search='l')\n", - "res = await chat_stream_tools(\"Search the web and tell me very briefly about otters\", stream=True)\n", + "res = await chat_stream_tools(\"Search the weather in NYC\", stream=True)\n", "_=await adisplay_stream(res)" ] }, @@ -5409,116 +4992,304 @@ "### Caching" ] }, + { + "cell_type": "markdown", + "id": "2e071882", + "metadata": {}, + "source": [ + "#### Anthropic\n", + "\n", + "We use explicit caching via cache control checkpoints. Anthropic requires exact match with cached tokens and even a small change results in cache invalidation." + ] + }, { "cell_type": "code", "execution_count": null, - "id": "811571e1", + "id": "64ed32f8", "metadata": {}, "outputs": [], "source": [ - "a,b = random.randint(0,100), random.randint(0,100)\n", - "hist = [[f\"What is {a}+{b}?\\n\" * 200], f\"It's {a+b}\", ['hi'], \"Hello\"]" + "disable_cachy()" ] }, { "cell_type": "code", "execution_count": null, - "id": "38bc2dbb", + "id": "32340dd3", "metadata": {}, "outputs": [], "source": [ - "chat = AsyncChat(model, cache=True, hist=hist)\n", - "rs = await chat('hi again', stream=True, stream_options={\"include_usage\": True})" + "a,b = random.randint(0,100), random.randint(0,100)\n", + "hist = [[f\"What is {a}+{b}?\\n\" * 250], f\"It's {a+b}\", ['hi'], \"Hello\"]\n", + "msgs = mk_msgs(hist)" + ] + }, + { + "cell_type": "markdown", + "id": "cd0c6f1c", + "metadata": {}, + "source": [ + "In this first api call we will see cache creation until the last user msg:" ] }, { "cell_type": "code", "execution_count": null, - "id": "91f9390d", + "id": "d6160c8f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=13, prompt_tokens=1626, total_tokens=1639, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=1623), cache_creation_input_tokens=1623, cache_read_input_tokens=0)\n" + "Usage(completion_tokens=13, prompt_tokens=2026, total_tokens=2039, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=2023), cache_creation_input_tokens=2023, cache_read_input_tokens=0)\n" ] } ], "source": [ + "chat = AsyncChat(ms[2], cache=True, hist=hist)\n", + "rs = await chat('hi again', stream=True, stream_options={\"include_usage\": True})\n", "async for o in rs: \n", " if isinstance(o, ModelResponse): print(o.usage)" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e0b68f6", + "metadata": {}, + "outputs": [], + "source": [ + "cache_read_toks = o.usage.cache_creation_input_tokens\n", + "test_eq(cache_read_toks > 1000, True)\n", + "test_eq(o.usage.cache_read_input_tokens, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1e4a63ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Usage(completion_tokens=17, prompt_tokens=2040, total_tokens=2057, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2023, text_tokens=None, image_tokens=None, cache_creation_tokens=14), cache_creation_input_tokens=14, cache_read_input_tokens=2023)\n" + ] + } + ], + "source": [ + "hist.extend([['hi again'], 'how may i help you?'])\n", + "chat = AsyncChat(ms[2], cache=True, hist=hist)\n", + "rs = await chat('bye!', stream=True, stream_options={\"include_usage\": True})\n", + "async for o in rs:\n", + " if isinstance(o, ModelResponse): print(o.usage)" + ] + }, { "cell_type": "markdown", - "id": "a3fac1d3", + "id": "528cf7b4", "metadata": {}, "source": [ - "In this first api call we will see cache creation until the last user msg:" + "The subsequent call should re-use the existing cache:" ] }, { "cell_type": "code", "execution_count": null, - "id": "f372cd99", + "id": "fa997bd5", "metadata": {}, "outputs": [], "source": [ - "cache_read_toks = o.usage.cache_creation_input_tokens\n", - "test_eq(cache_read_toks > 1000, True)\n", - "test_eq(o.usage.cache_read_input_tokens, 0)" + "test_eq(o.usage.cache_read_input_tokens, cache_read_toks)" + ] + }, + { + "cell_type": "markdown", + "id": "118670c9", + "metadata": {}, + "source": [ + "#### Gemini\n", + "\n", + "Gemini implicit caching supports partial token matches. The usage metadata only shows cache hits with the `cached_tokens` field. So, to view them we need to run completions at least twice." + ] + }, + { + "cell_type": "markdown", + "id": "4cfdad46", + "metadata": {}, + "source": [ + "Testing with `gemini-2.5-flash` until `gemini-3-pro-preview` is more reliable" ] }, { "cell_type": "code", "execution_count": null, - "id": "fd079aa0", + "id": "e6215649", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Usage(completion_tokens=62, prompt_tokens=2526, total_tokens=2588, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=52, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2526, image_tokens=None))\n" + ] + } + ], "source": [ - "hist.extend([['hi again'], 'how may i help you?'])\n", - "chat = AsyncChat(model, cache=True, hist=hist)\n", - "rs = await chat('bye!', stream=True, stream_options={\"include_usage\": True})" + "chat = AsyncChat(ms[1], cache=True, hist=hist)\n", + "rs = await chat('hi again', stream=True, stream_options={\"include_usage\": True})\n", + "async for o in rs: \n", + " if isinstance(o, ModelResponse): print(o.usage)" + ] + }, + { + "cell_type": "markdown", + "id": "6cd85cb9", + "metadata": {}, + "source": [ + "Running the same completion again:" ] }, { "cell_type": "code", "execution_count": null, - "id": "9a940a1d", + "id": "caa84445", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=17, prompt_tokens=1640, total_tokens=1657, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=1623, text_tokens=None, image_tokens=None, cache_creation_tokens=14), cache_creation_input_tokens=14, cache_read_input_tokens=1623)\n" + "Usage(completion_tokens=191, prompt_tokens=2540, total_tokens=2731, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=157, rejected_prediction_tokens=None, text_tokens=34, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2540, image_tokens=None))\n" + ] + } + ], + "source": [ + "sleep(5) # it takes a while for cached tokens to be avail.\n", + "rs = await chat('hi again', stream=True, stream_options={\"include_usage\": True})\n", + "async for o in rs: \n", + " if isinstance(o, ModelResponse): print(o.usage)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e78a1d56", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'>' not supported between instances of 'NoneType' and 'int'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 1\u001b[39m", + "\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m test_eq(\u001b[43mo\u001b[49m\u001b[43m.\u001b[49m\u001b[43musage\u001b[49m\u001b[43m.\u001b[49m\u001b[43mprompt_tokens_details\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcached_tokens\u001b[49m\u001b[43m \u001b[49m\u001b[43m>\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1800\u001b[39;49m, \u001b[38;5;28;01mTrue\u001b[39;00m)", + "", + "\u001b[31mTypeError\u001b[39m: '>' not supported between instances of 'NoneType' and 'int'" ] } ], "source": [ + "test_eq(o.usage.prompt_tokens_details.cached_tokens > 1800, True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e59b6ad", + "metadata": {}, + "outputs": [], + "source": [ + "hist.extend([['hi again'], 'how may i help you?'])\n", + "chat = AsyncChat(ms[1], cache=True, hist=hist)\n", + "rs = await chat('bye!', stream=True, stream_options={\"include_usage\": True})\n", "async for o in rs:\n", " if isinstance(o, ModelResponse): print(o.usage)" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "024f5e1f", + "metadata": {}, + "outputs": [], + "source": [ + "test_eq(o.usage.prompt_tokens_details.cached_tokens > 2000, True)" + ] + }, { "cell_type": "markdown", - "id": "8c29a5ac", + "id": "0806d459", "metadata": {}, "source": [ - "The subsequent call should re-use the existing cache:" + "Let's modify the cached content and see that partial matching works:" ] }, { "cell_type": "code", "execution_count": null, - "id": "d6ae13c5", + "id": "7ea4beac", "metadata": {}, "outputs": [], "source": [ - "test_eq(o.usage.cache_read_input_tokens, cache_read_toks)" + "c = hist[0][0]\n", + "hist[0][0] = c[:int(len(c)*0.75)] + \" Some extra text\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b88eb842", + "metadata": {}, + "outputs": [], + "source": [ + "hist.extend([['hi again'], 'how may i help you?'])\n", + "chat = AsyncChat(ms[1], cache=True, hist=hist)\n", + "rs = await chat('bye!', stream=True, stream_options={\"include_usage\": True})\n", + "async for o in rs:\n", + " if isinstance(o, ModelResponse): print(o.usage)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06f82575", + "metadata": {}, + "outputs": [], + "source": [ + "test_eq(o.usage.prompt_tokens_details.cached_tokens > 900, True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0966a1cb", + "metadata": {}, + "outputs": [], + "source": [ + "1/0" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "9da621f2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0378f07d", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "6f9764dc", @@ -5547,13 +5318,7 @@ "source": [] } ], - "metadata": { - "kernelspec": { - "display_name": "python3", - "language": "python", - "name": "python3" - } - }, + "metadata": {}, "nbformat": 4, "nbformat_minor": 5 } diff --git a/nbs/01_usage.ipynb b/nbs/01_usage.ipynb index 2581076..7884c45 100644 --- a/nbs/01_usage.ipynb +++ b/nbs/01_usage.ipynb @@ -46,7 +46,7 @@ "import litellm, importlib, httpx\n", "from lisette.core import Chat, AsyncChat, patch_litellm\n", "from fastcore.all import *\n", - "from cachy import enable_cachy" + "from cachy import enable_cachy,disable_cachy" ] }, { @@ -77,6 +77,16 @@ "importlib.reload(litellm); # to re-run the notebook without kernel restart" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "f85329c0", + "metadata": {}, + "outputs": [], + "source": [ + "# litellm._turn_on_debug()" + ] + }, { "cell_type": "code", "execution_count": null, @@ -124,9 +134,17 @@ " def _log_usage(self, response_obj, response_cost, start_time, end_time):\n", " usage = response_obj.usage\n", " ptd = usage.prompt_tokens_details\n", - " self.usage.insert(Usage(timestamp=time.time(), model=response_obj.model, user_id=self.user_id_fn(), prompt_tokens=usage.prompt_tokens, completion_tokens=usage.completion_tokens,\n", - " total_tokens=usage.total_tokens, cached_tokens=ptd.cached_tokens if ptd else 0, cache_creation_tokens=usage.cache_creation_input_tokens, \n", - " cache_read_tokens=usage.cache_read_input_tokens, web_search_requests=nested_idx(usage, 'server_tool_use', 'web_search_requests'), response_cost=response_cost))\n", + " self.usage.insert(Usage(timestamp=time.time(), \n", + " model=response_obj.model, \n", + " user_id=self.user_id_fn(), \n", + " prompt_tokens=usage.prompt_tokens, \n", + " completion_tokens=usage.completion_tokens,\n", + " total_tokens=usage.total_tokens, \n", + " cached_tokens=ptd.cached_tokens if ptd else 0, # used by gemini (read tokens)\n", + " cache_creation_tokens=nested_idx(usage, 'cache_creation_input_tokens'),\n", + " cache_read_tokens=nested_idx(usage, 'cache_read_input_tokens'), # used by anthropic \n", + " web_search_requests=nested_idx(usage, 'server_tool_use', 'web_search_requests'),\n", + " response_cost=response_cost))\n", " \n", " def user_id_fn(self): raise NotImplementedError('Please implement `LisetteUsageLogger.user_id_fn` before initializing, e.g using fastcore.patch.')" ] @@ -218,75 +236,9 @@ "execution_count": null, "id": "35cc0ba6", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "```python\n", - "{ 'cache_creation_input_token_cost': 3.75e-06,\n", - " 'cache_creation_input_token_cost_above_200k_tokens': 7.5e-06,\n", - " 'cache_read_input_token_cost': 3e-07,\n", - " 'cache_read_input_token_cost_above_200k_tokens': 6e-07,\n", - " 'input_cost_per_token': 3e-06,\n", - " 'input_cost_per_token_above_200k_tokens': 6e-06,\n", - " 'litellm_provider': 'anthropic',\n", - " 'max_input_tokens': 200000,\n", - " 'max_output_tokens': 64000,\n", - " 'max_tokens': 64000,\n", - " 'mode': 'chat',\n", - " 'output_cost_per_token': 1.5e-05,\n", - " 'output_cost_per_token_above_200k_tokens': 2.25e-05,\n", - " 'search_context_cost_per_query': { 'search_context_size_high': 0.01,\n", - " 'search_context_size_low': 0.01,\n", - " 'search_context_size_medium': 0.01},\n", - " 'supports_assistant_prefill': True,\n", - " 'supports_computer_use': True,\n", - " 'supports_function_calling': True,\n", - " 'supports_pdf_input': True,\n", - " 'supports_prompt_caching': True,\n", - " 'supports_reasoning': True,\n", - " 'supports_response_schema': True,\n", - " 'supports_tool_choice': True,\n", - " 'supports_vision': True,\n", - " 'tool_use_system_prompt_tokens': 346}\n", - "```" - ], - "text/plain": [ - "{'cache_creation_input_token_cost': 3.75e-06,\n", - " 'cache_read_input_token_cost': 3e-07,\n", - " 'input_cost_per_token': 3e-06,\n", - " 'input_cost_per_token_above_200k_tokens': 6e-06,\n", - " 'output_cost_per_token_above_200k_tokens': 2.25e-05,\n", - " 'cache_creation_input_token_cost_above_200k_tokens': 7.5e-06,\n", - " 'cache_read_input_token_cost_above_200k_tokens': 6e-07,\n", - " 'litellm_provider': 'anthropic',\n", - " 'max_input_tokens': 200000,\n", - " 'max_output_tokens': 64000,\n", - " 'max_tokens': 64000,\n", - " 'mode': 'chat',\n", - " 'output_cost_per_token': 1.5e-05,\n", - " 'search_context_cost_per_query': {'search_context_size_high': 0.01,\n", - " 'search_context_size_low': 0.01,\n", - " 'search_context_size_medium': 0.01},\n", - " 'supports_assistant_prefill': True,\n", - " 'supports_computer_use': True,\n", - " 'supports_function_calling': True,\n", - " 'supports_pdf_input': True,\n", - " 'supports_prompt_caching': True,\n", - " 'supports_reasoning': True,\n", - " 'supports_response_schema': True,\n", - " 'supports_tool_choice': True,\n", - " 'supports_vision': True,\n", - " 'tool_use_system_prompt_tokens': 346}" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "model_pricing['claude-sonnet-4-5']" + "# model_pricing['claude-sonnet-4-5']" ] }, { @@ -294,93 +246,9 @@ "execution_count": null, "id": "19ff68bd", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "```python\n", - "{ 'cache_creation_input_token_cost_above_200k_tokens': 2.5e-07,\n", - " 'cache_read_input_token_cost': 2e-07,\n", - " 'cache_read_input_token_cost_above_200k_tokens': 4e-07,\n", - " 'input_cost_per_token': 2e-06,\n", - " 'input_cost_per_token_above_200k_tokens': 4e-06,\n", - " 'input_cost_per_token_batches': 1e-06,\n", - " 'litellm_provider': 'vertex_ai-language-models',\n", - " 'max_audio_length_hours': 8.4,\n", - " 'max_audio_per_prompt': 1,\n", - " 'max_images_per_prompt': 3000,\n", - " 'max_input_tokens': 1048576,\n", - " 'max_output_tokens': 65535,\n", - " 'max_pdf_size_mb': 30,\n", - " 'max_tokens': 65535,\n", - " 'max_video_length': 1,\n", - " 'max_videos_per_prompt': 10,\n", - " 'mode': 'chat',\n", - " 'output_cost_per_token': 1.2e-05,\n", - " 'output_cost_per_token_above_200k_tokens': 1.8e-05,\n", - " 'output_cost_per_token_batches': 6e-06,\n", - " 'source': 'https://cloud.google.com/vertex-ai/generative-ai/pricing',\n", - " 'supported_endpoints': ['/v1/chat/completions', '/v1/completions', '/v1/batch'],\n", - " 'supported_modalities': ['text', 'image', 'audio', 'video'],\n", - " 'supported_output_modalities': ['text'],\n", - " 'supports_audio_input': True,\n", - " 'supports_function_calling': True,\n", - " 'supports_pdf_input': True,\n", - " 'supports_prompt_caching': True,\n", - " 'supports_reasoning': True,\n", - " 'supports_response_schema': True,\n", - " 'supports_system_messages': True,\n", - " 'supports_tool_choice': True,\n", - " 'supports_video_input': True,\n", - " 'supports_vision': True,\n", - " 'supports_web_search': True}\n", - "```" - ], - "text/plain": [ - "{'cache_read_input_token_cost': 2e-07,\n", - " 'cache_read_input_token_cost_above_200k_tokens': 4e-07,\n", - " 'cache_creation_input_token_cost_above_200k_tokens': 2.5e-07,\n", - " 'input_cost_per_token': 2e-06,\n", - " 'input_cost_per_token_above_200k_tokens': 4e-06,\n", - " 'input_cost_per_token_batches': 1e-06,\n", - " 'litellm_provider': 'vertex_ai-language-models',\n", - " 'max_audio_length_hours': 8.4,\n", - " 'max_audio_per_prompt': 1,\n", - " 'max_images_per_prompt': 3000,\n", - " 'max_input_tokens': 1048576,\n", - " 'max_output_tokens': 65535,\n", - " 'max_pdf_size_mb': 30,\n", - " 'max_tokens': 65535,\n", - " 'max_video_length': 1,\n", - " 'max_videos_per_prompt': 10,\n", - " 'mode': 'chat',\n", - " 'output_cost_per_token': 1.2e-05,\n", - " 'output_cost_per_token_above_200k_tokens': 1.8e-05,\n", - " 'output_cost_per_token_batches': 6e-06,\n", - " 'source': 'https://cloud.google.com/vertex-ai/generative-ai/pricing',\n", - " 'supported_endpoints': (#3) ['/v1/chat/completions','/v1/completions','/v1/batch'],\n", - " 'supported_modalities': (#4) ['text','image','audio','video'],\n", - " 'supported_output_modalities': (#1) ['text'],\n", - " 'supports_audio_input': True,\n", - " 'supports_function_calling': True,\n", - " 'supports_pdf_input': True,\n", - " 'supports_prompt_caching': True,\n", - " 'supports_reasoning': True,\n", - " 'supports_response_schema': True,\n", - " 'supports_system_messages': True,\n", - " 'supports_tool_choice': True,\n", - " 'supports_video_input': True,\n", - " 'supports_vision': True,\n", - " 'supports_web_search': True}" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "model_pricing['gemini-3-pro-preview']" + "# model_pricing['gemini-3-pro-preview']" ] }, { @@ -448,23 +316,22 @@ "execution_count": null, "id": "a9215558", "metadata": {}, + "outputs": [], + "source": [ + "chat = Chat('claude-sonnet-4-5-20250929')\n", + "r = chat(\"What is 2+2?\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c4b82ed4", + "metadata": {}, "outputs": [ { "data": { - "text/markdown": [ - "2+2 = 4\n", - "\n", - "
\n", - "\n", - "- id: `chatcmpl-xxx`\n", - "- model: `claude-sonnet-4-5-20250929`\n", - "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=11, prompt_tokens=14, total_tokens=25, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", - "\n", - "
" - ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='2+2 = 4', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=11, prompt_tokens=14, total_tokens=25, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "Usage(id=1, timestamp=UNSET, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=14, completion_tokens=11, total_tokens=25, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.000207)" ] }, "execution_count": null, @@ -473,20 +340,20 @@ } ], "source": [ - "chat = Chat('claude-sonnet-4-5-20250929')\n", - "chat(\"What is 2+2?\")" + "time.sleep(0.3) # wait for callback db write\n", + "u = logger.usage(select=slc)[-1]; u" ] }, { "cell_type": "code", "execution_count": null, - "id": "c4b82ed4", + "id": "d88fe4d6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Usage(id=1, timestamp=UNSET, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=14, completion_tokens=11, total_tokens=25, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.000207)" + "[Usage(id=1, timestamp=1764082053.107739, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=14, completion_tokens=11, total_tokens=25, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.000207)]" ] }, "execution_count": null, @@ -495,8 +362,7 @@ } ], "source": [ - "time.sleep(0.3) # wait for callback db write\n", - "u = logger.usage(select=slc)[-1]; u" + "logger.usage()" ] }, { @@ -593,12 +459,12 @@ "- id: `chatcmpl-xxx`\n", "- model: `claude-sonnet-4-5-20250929`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=13, prompt_tokens=14, total_tokens=27, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=13, prompt_tokens=14, total_tokens=27, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='3 + 3 = 6', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=13, prompt_tokens=14, total_tokens=27, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='3 + 3 = 6', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=13, prompt_tokens=14, total_tokens=27, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), cache_creation_input_tokens=0, cache_read_input_tokens=0))" ] }, "execution_count": null, @@ -620,7 +486,7 @@ { "data": { "text/plain": [ - "Usage(id=3, timestamp=UNSET, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=14, completion_tokens=13, total_tokens=27, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.00023700000000000001)" + "Usage(id=2, timestamp=UNSET, model='claude-sonnet-4-5', user_id='user-123', prompt_tokens=15, completion_tokens=17, total_tokens=32, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.00030000000000000003)" ] }, "execution_count": null, @@ -661,7 +527,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='10, 11, 12, 13, 14, 15', role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None))], usage=Usage(completion_tokens=20, prompt_tokens=38, total_tokens=58, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None), prompt_tokens_details=None))\n" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='10, 11, 12, 13, 14, 15', role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None))], usage=Usage(completion_tokens=20, prompt_tokens=38, total_tokens=58, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))\n" ] } ], @@ -720,27 +586,23 @@ { "data": { "text/markdown": [ - "Based on the latest weather information for New York City:\n", + "Based on the current weather information for New York City today (November 24, 2025):\n", "\n", - "**Today (Friday, November 15):**\n", - "Sunshine early followed by cloudy skies this afternoon, with a high near 52°F and winds from the southwest at 5 to 10 mph.\n", + "Today's weather is sunny with a high of 54°F and northwest winds at 5 to 10 mph. Tonight will see partly cloudy skies in the evening, then becoming cloudy overnight with a low of 43°F.\n", "\n", - "**Tonight:**\n", - "Light rain early, then remaining cloudy with a low around 50°F, winds from the southwest at 10 to 15 mph, and a 70% chance of rain.\n", - "\n", - "The city recently experienced its first snow of the season on Tuesday, bringing a taste of winter to November. Air quality has also been a concern, with pollution reaching unhealthy levels for sensitive groups.\n", + "The air quality has reached a high level of pollution and is unhealthy for sensitive groups, so those with respiratory sensitivities may want to limit outdoor activities.\n", "\n", "
\n", "\n", "- id: `chatcmpl-xxx`\n", "- model: `claude-sonnet-4-5-20250929`\n", "- finish_reason: `stop`\n", - "- usage: `Usage(completion_tokens=286, prompt_tokens=9395, total_tokens=9681, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None), server_tool_use=ServerToolUse(web_search_requests=1), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", + "- usage: `Usage(completion_tokens=226, prompt_tokens=9451, total_tokens=9677, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), server_tool_use=ServerToolUse(web_search_requests=1), cache_creation_input_tokens=0, cache_read_input_tokens=0)`\n", "\n", "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Based on the latest weather information for New York City:\\n\\n**Today (Friday, November 15):**\\nSunshine early followed by cloudy skies this afternoon, with a high near 52°F and winds from the southwest at 5 to 10 mph.\\n\\n**Tonight:**\\nLight rain early, then remaining cloudy with a low around 50°F, winds from the southwest at 10 to 15 mph, and a 70% chance of rain.\\n\\nThe city recently experienced its first snow of the season on Tuesday, bringing a taste of winter to November. Air quality has also been a concern, with pollution reaching unhealthy levels for sensitive groups.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': [[{'type': 'web_search_result_location', 'cited_text': 'zoom out · Showing Stations · Hourly Forecast for Today, Saturday 11/15Hourly for Today, Sat 11/15 · Today 11/15 · 4% / 0 in · Sunshine early followed...', 'url': 'https://www.wunderground.com/hourly/us/ny/new-york-city', 'title': 'New York City, NY Hourly Weather Forecast | Weather Underground', 'encrypted_index': 'EpEBCioICRgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDHpSHBPOt9imlciNuBoMUT6RMMjfmqjUZ8UKIjD4etUhyewZFpGyyhF4dxcw67W5UZXDdBvjUaknHDPKRDkfv8euqbEmrMbwmPhWgQAqFSEOuv0dZAdfJp1/FaZs6YJwh29DWxgE'}], [{'type': 'web_search_result_location', 'cited_text': 'Tonight 11/15 · 68 % / 0.09 in · Light rain early. ', 'url': 'https://www.wunderground.com/hourly/us/ny/new-york-city', 'title': 'New York City, NY Hourly Weather Forecast | Weather Underground', 'encrypted_index': 'Eo8BCioICRgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDIOBH1Q99Syc109nFBoMp/SiHQIcWDVzkGlnIjBBrl0Q/0uGredDx3q3IaYsvCb2Wd3yBAp6QP6fsIshlZBxm0RvK2LBiNthVL7FsWsqE/FjLWVS9/3zYpubW/H2EagTEVYYBA=='}, {'type': 'web_search_result_location', 'cited_text': 'Low around 50F. Winds SW at 10 to 15 mph. Chance of rain 70%. ', 'url': 'https://www.wunderground.com/hourly/us/ny/new-york-city', 'title': 'New York City, NY Hourly Weather Forecast | Weather Underground', 'encrypted_index': 'EpIBCioICRgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDFdov2C9DPa6WjL/RxoMK5/tDBMkR5kigEzWIjCMcSgmDV7Tk2jgoIJG+3ktjqC8uEREipobaAOiLBJAMwovj66H+dnjh+Dw7Oz9z3cqFvEMomtDbMXpXF/CTQHhl4613xt5vzcYBA=='}], [{'type': 'web_search_result_location', 'cited_text': 'NYC woke up to its first snow of the season on Tuesday, as a burst of wintry showers moved through during the morning commute, bringing slick spots an...', 'url': 'https://www.fox5ny.com/weather/nyc-sees-first-snow-season-cold-november-air-moves', 'title': 'Is it snowing in NYC? Big Apple sees first flurries of the season | FOX 5 New York', 'encrypted_index': 'Eo8BCioICRgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDJVlwE07RVLcjTrlohoMx4dAxCScm9Oq5HJ0IjBldlZQKn0ORI++QGeyxWYHR4MLIdNUQ63al9ILyeoKL+H+Z4SNvfoNAFhSNio3nuAqE3LICOeepRMyfdYpTEgG2imjahcYBA=='}], [{'type': 'web_search_result_location', 'cited_text': 'The air has reached a high level of pollution and is unhealthy for sensitive groups. ', 'url': 'https://www.accuweather.com/en/us/new-york/10021/weather-forecast/14-349727_1_al', 'title': 'New York City, NY Weather Forecast | AccuWeather', 'encrypted_index': 'Eo8BCioICRgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDHU9txFYaPTut9vOIRoMmwxQ88FmlAQnbUBAIjBc9OwHBdDZb4vWThl3Z/v/7zqHbtNd/d42rlsnxc9Xrhu53Njt7DJmaf4AqgwFCuEqE/Ehz3pIPcs8oQWAfgvqSHLCSMoYBA=='}]], 'thinking_blocks': None}))], usage=Usage(completion_tokens=286, prompt_tokens=9395, total_tokens=9681, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None), server_tool_use=ServerToolUse(web_search_requests=1), cache_creation_input_tokens=0, cache_read_input_tokens=0))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"Based on the current weather information for New York City today (November 24, 2025):\\n\\nToday's weather is sunny with a high of 54°F and northwest winds at 5 to 10 mph. Tonight will see partly cloudy skies in the evening, then becoming cloudy overnight with a low of 43°F.\\n\\nThe air quality has reached a high level of pollution and is unhealthy for sensitive groups, so those with respiratory sensitivities may want to limit outdoor activities.\", role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': [[{'type': 'web_search_result_location', 'cited_text': 'zoom out · Showing Stations · Hourly Forecast for Today, Monday 11/24Hourly for Today, Mon 11/24 · Tomorrow 11/24 · 3% / 0 in · Sunny. High 54F. Winds...', 'url': 'https://www.wunderground.com/hourly/us/ny/new-york-city', 'title': 'New York City, NY Hourly Weather Forecast | Weather Underground', 'encrypted_index': 'EpIBCioIChgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDDkEpHmFTHuW0U/IYxoM8ROTXR76Q/b7Im6UIjC+3YVJV/vSBuigz3wzwRGKdxTd6QbFpOH/xRlOAYN6KZlaLa940WL+mdvzOBFhLc0qFm+RKPiz05m+wVTolVoJKvji2ulhXawYBA==', 'supported_text': \"Today's weather is sunny with a high of 54°F and northwest winds at 5 to 10 mph\"}], [{'type': 'web_search_result_location', 'cited_text': 'Tomorrow 11/24 · 6 % / 0 in · Partly cloudy skies in the evening, then becoming cloudy overnight. Low 43F. ', 'url': 'https://www.wunderground.com/hourly/us/ny/new-york-city', 'title': 'New York City, NY Hourly Weather Forecast | Weather Underground', 'encrypted_index': 'EpMBCioIChgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDByYL7N7INDetqtiTRoMLi+LgBIHvGWlAI/iIjCYecmI6ZeKPgBkXHJBOg8V69VmSr0S9Yq4DUvWa2EMWtM5hYkmXrsiaRJjHmOr6jMqFzQlLxyYR3Qn0ive2naRkWc4DQFtL8KMGAQ=', 'supported_text': 'Tonight will see partly cloudy skies in the evening, then becoming cloudy overnight with a low of 43°F'}], [{'type': 'web_search_result_location', 'cited_text': 'The air has reached a high level of pollution and is unhealthy for sensitive groups.', 'url': 'https://www.accuweather.com/en/us/new-york/10021/weather-forecast/14-349727_1_al', 'title': 'New York City, NY Weather Forecast | AccuWeather', 'encrypted_index': 'Eo8BCioIChgCIiQ4ODk4YTFkYy0yMTNkLTRhNmYtOTljYi03ZTBlNTUzZDc0NWISDOGJiVeKdf0A5IROTBoMJAyx9KBUizhootd6IjBS24GPde2euGdSY4gHiFvoQ7UTJ1mzZDyTi+wqhqeFvoRDhB31prBSVtdjQJLH/q8qExTLIRISG/CcClj31VIBO8xsBSAYBA==', 'supported_text': 'The air quality has reached a high level of pollution and is unhealthy for sensitive groups'}]], 'thinking_blocks': None}))], usage=Usage(completion_tokens=226, prompt_tokens=9451, total_tokens=9677, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=0, cache_creation_token_details=CacheCreationTokenDetails(ephemeral_5m_input_tokens=0, ephemeral_1h_input_tokens=0)), server_tool_use=ServerToolUse(web_search_requests=1), cache_creation_input_tokens=0, cache_read_input_tokens=0))" ] }, "execution_count": null, @@ -762,7 +624,7 @@ { "data": { "text/plain": [ - "Usage(id=5, timestamp=UNSET, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=9395, completion_tokens=286, total_tokens=9681, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=1, response_cost=0.032475000000000004)" + "Usage(id=5, timestamp=UNSET, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=9451, completion_tokens=226, total_tokens=9677, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=1, response_cost=0.031743)" ] }, "execution_count": null, @@ -843,7 +705,7 @@ { "data": { "text/plain": [ - "Usage(id=6, timestamp=UNSET, model='claude-sonnet-4-5', user_id='user-123', prompt_tokens=9395, completion_tokens=280, total_tokens=9675, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.032385000000000004)" + "Usage(id=6, timestamp=UNSET, model='claude-sonnet-4-5', user_id='user-123', prompt_tokens=9451, completion_tokens=226, total_tokens=9677, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.031743)" ] }, "execution_count": null, @@ -924,6 +786,82 @@ "# test_close((L(logger.usage()).map(lambda o:o.total_cost(sc=0.01)).sum()), 0.086, 1e-3)" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a00a720", + "metadata": {}, + "outputs": [], + "source": [ + "disable_cachy()" + ] + }, + { + "cell_type": "markdown", + "id": "b1e57bed", + "metadata": {}, + "source": [ + "A simple Gemini example (requires min tokens and running twice to see `cached_tokens`):" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ad22437", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "2 + 2 = 4\n", + "\n", + "
\n", + "\n", + "- id: `chatcmpl-xxx`\n", + "- model: `gemini-2.5-flash`\n", + "- finish_reason: `stop`\n", + "- usage: `Usage(completion_tokens=41, prompt_tokens=7010, total_tokens=7051, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=34, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=3058, text_tokens=3952, image_tokens=None))`\n", + "\n", + "
" + ], + "text/plain": [ + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='2 + 2 = 4', role='assistant', tool_calls=None, function_call=None, images=[], thinking_blocks=[], provider_specific_fields=None))], usage=Usage(completion_tokens=41, prompt_tokens=7010, total_tokens=7051, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=34, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=3058, text_tokens=3952, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chat = Chat('gemini/gemini-2.5-flash')\n", + "chat(\"What is 2+2?\"* 500)\n", + "time.sleep(5)\n", + "chat(\"What is 2+2?\"* 500)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aa0621b4", + "metadata": {}, + "outputs": [], + "source": [ + "time.sleep(0.3) # wait for callback db write\n", + "u = logger.usage(select=slc)[-1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6133e694", + "metadata": {}, + "outputs": [], + "source": [ + "test_eq(len(logger.usage()), 8)\n", + "test_eq(logger.usage()[-1].cached_tokens > 3000, True)" + ] + }, { "cell_type": "code", "execution_count": null, @@ -962,7 +900,13 @@ "source": [] } ], - "metadata": {}, + "metadata": { + "kernelspec": { + "display_name": "python", + "language": "python", + "name": "python" + } + }, "nbformat": 4, "nbformat_minor": 5 } From e5f67754b6a8fa79d0519bafbecada49b2040cba Mon Sep 17 00:00:00 2001 From: Kerem Turgutlu Date: Wed, 26 Nov 2025 19:27:44 +0300 Subject: [PATCH 2/4] fix async strem formatter --- lisette/core.py | 14 ++-- nbs/00_core.ipynb | 191 ++++++++++++++++++++++------------------------ 2 files changed, 99 insertions(+), 106 deletions(-) diff --git a/lisette/core.py b/lisette/core.py index f6d1fd2..5461ac1 100644 --- a/lisette/core.py +++ b/lisette/core.py @@ -442,20 +442,18 @@ def mk_tr_details(tr, tc, mx=2000): # %% ../nbs/00_core.ipynb class AsyncStreamFormatter: def __init__(self, include_usage=False, mx=2000): - self.outp,self.tcs,self.include_usage,self.think,self.mx = '',{},include_usage,False,mx + self.outp,self.tcs,self.include_usage,self.mx = '',{},include_usage,mx def format_item(self, o): "Format a single item from the response stream." res = '' if isinstance(o, ModelResponseStream): d = o.choices[0].delta - if nested_idx(d, 'reasoning_content') and d['reasoning_content']!='{"text": ""}': - self.think = True - res += '🧠' if not self.outp or self.outp[-1]=='🧠' else '\n\n🧠' - elif self.think: - self.think = False - res += '\n\n' - if c:=d.content: res+=c + if nested_idx(d, 'reasoning_content') and d['reasoning_content']!='{"text": ""}': + res+= '🧠' if not self.outp or self.outp[-1]=='🧠' else '\n\n🧠' # gemini can interleave reasoning + elif self.outp and self.outp[-1] == '🧠': res+= '\n\n' + if c:=d.content: # gemini has text content in last reasoning chunk + res+=f"\n\n{c}" if res and res[-1] == '🧠' else c elif isinstance(o, ModelResponse): if self.include_usage: res += f"\nUsage: {o.usage}" if c:=getattr(contents(o),'tool_calls',None): diff --git a/nbs/00_core.ipynb b/nbs/00_core.ipynb index e7c87eb..4a9fda0 100644 --- a/nbs/00_core.ipynb +++ b/nbs/00_core.ipynb @@ -1824,7 +1824,7 @@ "
" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content='I will first calculate the sum of 5478954793 and 547982745. Then, I will calculate the sum of 5479749754 and 9875438979.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"a\": 5478954793, \"b\": 547982745}', name='simple_add'), id='call_7d3eb7da0ea54f8ea5e43bf02536__thought__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', type='function'), ChatCompletionMessageToolCall(index=1, function=Function(arguments='{\"a\": 5479749754, \"b\": 9875438979}', name='simple_add'), id='call_d4f83b1d282648e28dec65330b76', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5478954793, \"b\": 547982745}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=262, prompt_tokens=160, total_tokens=422, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=128, rejected_prediction_tokens=None, text_tokens=134, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=160, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content='I will first calculate the sum of 5478954793 and 547982745. Then, I will calculate the sum of 5479749754 and 9875438979.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"a\": 5478954793, \"b\": 547982745}', name='simple_add'), id='call_52262c59cd084d9da87418248263__thought__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', type='function'), ChatCompletionMessageToolCall(index=1, function=Function(arguments='{\"a\": 5479749754, \"b\": 9875438979}', name='simple_add'), id='call_50a9f3edcfef48e6bab22ccecd32', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5478954793, \"b\": 547982745}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=262, prompt_tokens=160, total_tokens=422, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=128, rejected_prediction_tokens=None, text_tokens=134, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=160, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -1882,11 +1882,11 @@ { "data": { "text/plain": [ - "[{'tool_call_id': 'call_7d3eb7da0ea54f8ea5e43bf02536__thought__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',\n", + "[{'tool_call_id': 'call_52262c59cd084d9da87418248263__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '6026937538'},\n", - " {'tool_call_id': 'call_d4f83b1d282648e28dec65330b76',\n", + " {'tool_call_id': 'call_50a9f3edcfef48e6bab22ccecd32',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15355188733'}]" @@ -1978,7 +1978,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='I will calculate the sum of 5,478,954,793 and 547,982,745, and then I will calculate the sum of 5,479,749,754 and 9,875,438,979 using the addition tool.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 547982745, \"a\": 5478954793}', name='simple_add'), id='call_18b416d5a8df4693b5d032a9035a__thought__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', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{\"b\": 9875438979, \"a\": 5479749754}', name='simple_add'), id='call_7f930aa8e8934a768866e1d17845', type='function')], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 547982745, \"a\": 5478954793}}}'))], usage=Usage(completion_tokens=279, prompt_tokens=160, total_tokens=439, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='I will calculate the sum of 5,478,954,793 and 547,982,745, and then I will calculate the sum of 5,479,749,754 and 9,875,438,979 using the addition tool.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 547982745, \"a\": 5478954793}', name='simple_add'), id='call_fc1bb265207c497390c0faed1c98__thought__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', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{\"b\": 9875438979, \"a\": 5479749754}', name='simple_add'), id='call_94e79287c34d41d9baf9efebc7f6', type='function')], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 547982745, \"a\": 5478954793}}}'))], usage=Usage(completion_tokens=279, prompt_tokens=160, total_tokens=439, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" ] }, "execution_count": null, @@ -2009,7 +2009,14 @@ "\n", "1. **First term ($x^3$):**\n", " * Bring the power (3) down to the front and subtract 1 from the exponent.\n", - " * Derivative: $3x^{3-1} = 3x^2$\n", + " * Derivative: $3x^{3-1} = 3x^2$" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", "\n", "2. **Second term ($2x^2$):**\n", " * Bring the power (2) down to multiply by the coefficient (2) and subtract 1 from the exponent.\n", @@ -2899,7 +2906,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "1, 2, 3, 4, 5" + "1, 2, 3, 4" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + ", 5" ] }, { @@ -3167,7 +3181,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_d28a7823e5b747519cd916036ac9__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==', 'type': 'function'}], function_call=None, images=[], reasoning_content=\"**The Arithmetic of Simplicity**\\n\\nOkay, so I'm presented with a straightforward arithmetic problem - add 5 and 3. Nothing too complex for my expertise! The prompt tells me there's a handy `simple_add` tool for this. Perfect! It's designed to take two integer inputs, labeled `a` and `b`. Let's see, to get the desired result, I just need to feed `simple_add` with `a` set to 5 and `b` set to 3. That should be all it takes. Easy peasy.\\n\", thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=85, prompt_tokens=74, total_tokens=159, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=65, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=74, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_4e82ffa4cda247c1ae6b7b268988__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==', 'type': 'function'}], function_call=None, images=[], reasoning_content=\"**The Arithmetic of Simplicity**\\n\\nOkay, so I'm presented with a straightforward arithmetic problem - add 5 and 3. Nothing too complex for my expertise! The prompt tells me there's a handy `simple_add` tool for this. Perfect! It's designed to take two integer inputs, labeled `a` and `b`. Let's see, to get the desired result, I just need to feed `simple_add` with `a` set to 5 and `b` set to 3. That should be all it takes. Easy peasy.\\n\", thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=85, prompt_tokens=74, total_tokens=159, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=65, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=74, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3176,7 +3190,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_d28a7823e5b747519cd916036ac9__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==',\n", + "{'tool_call_id': 'call_4e82ffa4cda247c1ae6b7b268988__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '8'}" @@ -3309,7 +3323,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EuADCt0DAdHtim8egbpnyQrJta8LB5xSotjReYMcBXRmd0tsmVu5sVcc5vQ7Znao84zE8bYO/yuscMYTqXkONwl+1KtFjRP84nggz9P4rRuGtGhybNDW6z2vITHmTJic3j0PcPza04CqBnAi2LYPTnes8V1siQ6e8W79lyBvCfoWKlE8EMkOB67cV+OAAfnXtkinxR6ScYJFqyy3mz7qR1qszv5Ij3QrqpLizTVODZjvqH5q6miynufvP9vE+lQBssyDoWYdQSwzfCG9haJ8Nvr8sYk/WmzJ+UNOH0mnzaqranRMmujf9SvDcG9NFAZuD7UBXiNHhJqR+sdFj8W4rwpfj+H/cvtL20Fkpea/kJ/a1Sg8I6duvdiULHAFCoaiwDa9ZaikH3MmwZPZMUJauDVdLEaQ2EZGnQbfyzLjg7zoW86LkHWMmupNrNcLGRDgj1wTvcMqmBsZfqtQxMl/+2pXO6V8HJRbwDHtI9fCPTKGNDPTasfYz2g0R2f1Wcwec9eKE6DTOpsIph5qDxs6FZaU5ajagDIm4mvtWRmnz/n/I6H4lvJPF6NaX9ve2zd+ZRwS6An2imk/HWr8/WqWm90fh4NJyVj7dTFpvtPzk/UIhU5ae2gSq8fRafZ6d+GXc/MI'}, 'function': {'arguments': '{\"b\": 3, \"a\": 5}', 'name': 'simple_add'}, 'id': 'call_b5b6c4b2fea34ea9b80dd8cd9bee__thought__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', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 3, \"a\": 5}}}', 'signature': 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prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=94, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 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prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=94, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3318,7 +3332,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 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vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 7, \"a\": 8}', 'name': 'simple_add'}, 'id': 'call_b5a2838c92234161bc7ef2b673f8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 7, \"a\": 8}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=18, prompt_tokens=247, total_tokens=265, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=247, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3354,7 +3368,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_1015bdd54c39463aa62124ae6a5a__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_b5a2838c92234161bc7ef2b673f8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -3381,7 +3395,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': 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model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 11, \"a\": 15}', 'name': 'simple_add'}, 'id': 'call_3b01e79de5d349fea57dd72d5c41__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 11, \"a\": 15}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=20, prompt_tokens=279, total_tokens=299, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=279, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3390,7 +3404,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_7b486a5b17314e2db0254fd8df0d__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_3b01e79de5d349fea57dd72d5c41__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '26'}" @@ -3597,7 +3611,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 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vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 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'Ep8DCpwDAdHtim8KKYPKXhKs4C/ygZfHnnO9PTC0kdJdM8g/DaXDfXDaDpt104NPhWf3yb61wtOLDL8sEOsF9YbOHceh48kAYxlwi/CDaYg5jCZrF9zA8hj6vbgJGxVRu/6FIygn49QV7dcgJaXkCLg2nDBztjDzDeIHpLSJG28BB08MigdSnr1ewaPZGVnT3vN1JFLM7IGreKBIg/CYtdxEhYBJD2m2aKyiRoAGK5FqqIIxn/V/1oK0Om4ZlgX8pHHO5ITpAiLl7z6XgJASVpcABBmbTvGZ+Pr04oaTpweDdZQtssblhhtKUtADyskBNaCsEFcBJCrwd5EkZvyw/1/bFyBAOVqdkz97KTLIDfGFxC7kJGHnIl8quOlxAhGjFtv3djQy0v8yfBy9yI7DctQ+UMg69YenypcGrMHMcs6e6HcB7W83RpzBDn96eaI5HWqYIDYFktOeXPfXAu+XBWEC6cxx4FDH17OTnDKvRW5FrPIf6IUyBsc+r8dQoMvUtejgt+O9pm4k1k3QoGjH55pyNlILerHLNe/HVL5xFsl9Ow=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=154, prompt_tokens=148, total_tokens=302, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=36, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=148, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3606,7 +3620,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_44b99dbc399c4fdb87da99f2ffa9__thought__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',\n", + "{'tool_call_id': 'call_6d32743db76842ca9c2100d1d1af__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '8'}" @@ -3618,7 +3632,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_724754fdc7604281b6d835dd0271',\n", + "{'tool_call_id': 'call_52ca444e8c6a4628aeba1f9cab1a',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '9'}" @@ -3645,7 +3659,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"a\": 8, \"b\": 9}', 'name': 'multiply'}, 'id': 'call_b4ee90a7a3c244ad9699316805f9__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"a\": 8, \"b\": 9}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=16, prompt_tokens=325, total_tokens=341, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=325, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"a\": 8, \"b\": 9}', 'name': 'multiply'}, 'id': 'call_04b8ae487d264bda9a90d1f65577__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"a\": 8, \"b\": 9}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=16, prompt_tokens=325, total_tokens=341, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=325, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3654,7 +3668,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_b4ee90a7a3c244ad9699316805f9__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_04b8ae487d264bda9a90d1f65577__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '72'}" @@ -3735,7 +3749,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"b\": 5, \"a\": 10}', 'name': 'simple_add'}, 'id': 'call_96b279a61dda4e658960aee98082__thought__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', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_c02440e830ee44989a6e0e6f13d6', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 5, \"a\": 10}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=149, prompt_tokens=215, total_tokens=364, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=112, rejected_prediction_tokens=None, text_tokens=37, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=215, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"b\": 5, \"a\": 10}', 'name': 'simple_add'}, 'id': 'call_6f2be773fd9543438eecf9ac0238__thought__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', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_88286c43a6b24ec6b8952ee1aa82', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 5, \"a\": 10}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=149, prompt_tokens=215, total_tokens=364, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=112, rejected_prediction_tokens=None, text_tokens=37, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=215, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3744,7 +3758,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_96b279a61dda4e658960aee98082__thought__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',\n", + "{'tool_call_id': 'call_6f2be773fd9543438eecf9ac0238__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -3756,7 +3770,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_c02440e830ee44989a6e0e6f13d6',\n", + "{'tool_call_id': 'call_88286c43a6b24ec6b8952ee1aa82',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '3'}" @@ -3783,7 +3797,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_7d071875480b40b9b48956982929__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}', 'signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}], provider_specific_fields=None))], usage=Usage(completion_tokens=48, prompt_tokens=388, total_tokens=436, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=17, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=388, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_4da9bde7237c4bf6a7628e6221b3__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}', 'signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}], provider_specific_fields=None))], usage=Usage(completion_tokens=48, prompt_tokens=388, total_tokens=436, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=17, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=388, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3792,7 +3806,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_7d071875480b40b9b48956982929__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=',\n", + "{'tool_call_id': 'call_4da9bde7237c4bf6a7628e6221b3__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '45'}" @@ -4136,7 +4150,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 7, \"a\": 5}', name='async_add'), id='call_fbcfb91534794b3e8a1736c4686e__thought__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', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"async_add\", \"args\": {\"b\": 7, \"a\": 5}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=136, prompt_tokens=77, total_tokens=213, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=77, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 7, \"a\": 5}', name='async_add'), id='call_cdb0af3d065a448b845616032e51__thought__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', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"async_add\", \"args\": {\"b\": 7, \"a\": 5}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=136, prompt_tokens=77, total_tokens=213, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=77, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4145,7 +4159,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_fbcfb91534794b3e8a1736c4686e__thought__EqIDCp8DAdHtim9Uhh+6BeKW4laKCmmDCdlwXTiW/aqCGPEFOE/zr8FeLulfPRErqpCWPE3+AK67AvrH9dxp+ZiReHoANCkkfDXbwfSqxdLQ79NEn8Q/99dq1Atv0h+SAFYtVf2SKlo0l2hmlf3T3z9lZHK4wEWXj/C+oT7bJm1pRqNjLnIFzaOLCaRj+VPzpQ/kwV1nkO1zj7A2nYvT7HhRb0nVkDW5APmJnjHiRa7Tvb7XzdxIa7J1d3baglG/i/2Yw2q51OR0UUkP33R0h3jaIP48rVQUfQ2FsQmXYNtWU2Xjju2Kn0uEJtY2RQU3fVIK1hD9fpKPFqJdxv254mYgnHhTnXV5F2VOy1D+4UynstxxW4tvarv/bQZEoQCh2F+yB/kwVDtmdIBIAzBViimUarg2LG0RjYb4bl/IieeJy6wHR56j4bJASc6K4YXhXK32sh7l4diI5YF9IyvSNfMFJSBmg5goKCjt/JmnnqqD6GhOw/bvylhZ2D8XqBi/AnV0p6NrXp7y1sjR8muVlXJyxULkP2B1ORR66AWdqo9soNu9vw==',\n", + "{'tool_call_id': 'call_cdb0af3d065a448b845616032e51__thought__EqIDCp8DAdHtim9Uhh+6BeKW4laKCmmDCdlwXTiW/aqCGPEFOE/zr8FeLulfPRErqpCWPE3+AK67AvrH9dxp+ZiReHoANCkkfDXbwfSqxdLQ79NEn8Q/99dq1Atv0h+SAFYtVf2SKlo0l2hmlf3T3z9lZHK4wEWXj/C+oT7bJm1pRqNjLnIFzaOLCaRj+VPzpQ/kwV1nkO1zj7A2nYvT7HhRb0nVkDW5APmJnjHiRa7Tvb7XzdxIa7J1d3baglG/i/2Yw2q51OR0UUkP33R0h3jaIP48rVQUfQ2FsQmXYNtWU2Xjju2Kn0uEJtY2RQU3fVIK1hD9fpKPFqJdxv254mYgnHhTnXV5F2VOy1D+4UynstxxW4tvarv/bQZEoQCh2F+yB/kwVDtmdIBIAzBViimUarg2LG0RjYb4bl/IieeJy6wHR56j4bJASc6K4YXhXK32sh7l4diI5YF9IyvSNfMFJSBmg5goKCjt/JmnnqqD6GhOw/bvylhZ2D8XqBi/AnV0p6NrXp7y1sjR8muVlXJyxULkP2B1ORR66AWdqo9soNu9vw==',\n", " 'role': 'tool',\n", " 'name': 'async_add',\n", " 'content': '12'}" @@ -4234,7 +4248,7 @@ "text": [ "\n", "🔧 async_add\n", - "{'tool_call_id': 'call_a969034f92974a7f8e667a8bfbf9__thought__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', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n", + "{'tool_call_id': 'call_ca3c6e07eb7245bf8c41a71be500__thought__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', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n", "\n", "\n", "The result of 5 + 7 is 12." @@ -4379,20 +4393,18 @@ "#| export\n", "class AsyncStreamFormatter:\n", " def __init__(self, include_usage=False, mx=2000):\n", - " self.outp,self.tcs,self.include_usage,self.think,self.mx = '',{},include_usage,False,mx\n", + " self.outp,self.tcs,self.include_usage,self.mx = '',{},include_usage,mx\n", " \n", " def format_item(self, o):\n", " \"Format a single item from the response stream.\"\n", " res = ''\n", " if isinstance(o, ModelResponseStream):\n", " d = o.choices[0].delta\n", - " if nested_idx(d, 'reasoning_content') and d['reasoning_content']!='{\"text\": \"\"}': \n", - " self.think = True\n", - " res += '🧠' if not self.outp or self.outp[-1]=='🧠' else '\\n\\n🧠'\n", - " elif self.think:\n", - " self.think = False\n", - " res += '\\n\\n'\n", - " if c:=d.content: res+=c\n", + " if nested_idx(d, 'reasoning_content') and d['reasoning_content']!='{\"text\": \"\"}':\n", + " res+= '🧠' if not self.outp or self.outp[-1]=='🧠' else '\\n\\n🧠' # gemini can interleave reasoning\n", + " elif self.outp and self.outp[-1] == '🧠': res+= '\\n\\n'\n", + " if c:=d.content: # gemini has text content in last reasoning chunk\n", + " res+=f\"\\n\\n{c}\" if res and res[-1] == '🧠' else c\n", " elif isinstance(o, ModelResponse):\n", " if self.include_usage: res += f\"\\nUsage: {o.usage}\"\n", " if c:=getattr(contents(o),'tool_calls',None):\n", @@ -4579,7 +4591,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_a595070a319649928f902331ce2c__thought__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\",\n", + " \"id\": \"call_720ef72994b34eb887040a8bddcd__thought__EoQECoEEAdHtim9V71O5FoSJ6wUF5IbxfHp2gwZ0RMUNZVyF9U0g4VT8XdSqsgsFdRujmqNlZ3GYNbxJEJUuTSkIwf3j735YKj2+d4jI0+MgcYk6LQlLkqF5G1V+fpD3q78t1iwFgkkBdr/XLjpZY4hzN/jR7wrYAKujv7psveI6IBeZZgAudmFVuWjRaXnFRThH8RgSpOxPtSljx3lD2SdK562GW4KezglrIy/niU9ZeLyTgB5rbOgy5xVohO+Z+NJXfrcx7QjFdwiJO4e3CkSBIt9eCVDCzExytcUNjnETPvZuyAkjtyWhWKVr09GiGsnTbi/dg6w4jy8bmdbHdyPVaqQ7Vvprq8vFOfsrhIAvkpPOLzprphCBk5JmcO2eIBg2jYXlSQfiBzBSF0xCO4vo4yMCJS76muBk0rP3MU0670iReQ3kH537sM8Oak9WUzKtBkeZEu2kCyTRP0XPFk8JQArxveHhBQrNTcICNdDtKpBEY7+gFJS+wLBsyFCpy2U9Xue1mwNaUsCdEcIEDwbMGaUUIxpnQa7CgdsDwRtgxNYeWYalKF6Qk33kOp5hXDxUS3BrFt/4Fb7vG1fAjcynj8KhxGnRlWknR+GF4lceeSgoFrheyKVwin9JiFAUEs2Kw1jMYloTZXXhcAySE4q1RerZYy/ogU9qfPaKU+G/IEjaAact\",\n", " \"call\": {\n", " \"function\": \"async_add\",\n", " \"arguments\": {\n", @@ -4677,7 +4689,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_c1e953370e2e405098f229a8298d__thought__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\",\n", + " \"id\": \"call_4292f037e98c4463b4017c0a94c9__thought__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\",\n", " \"call\": {\n", " \"function\": \"simple_add\",\n", " \"arguments\": {\n", @@ -4697,7 +4709,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_d1cfd9f515b642918775e4e1fe1f\",\n", + " \"id\": \"call_d3b12593c16f44db94fa4bb8d21d\",\n", " \"call\": {\n", " \"function\": \"simple_add\",\n", " \"arguments\": {\n", @@ -4729,7 +4741,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_7ccf232e875a493f820bbb696bd8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==\",\n", + " \"id\": \"call_7946b25cfd664c64bf9a120cdbe4__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==\",\n", " \"call\": {\n", " \"function\": \"multiply\",\n", " \"arguments\": {\n", @@ -4783,7 +4795,7 @@ { "data": { "text/plain": [ - "Message(content=None, role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 10, \"b\": 5}', 'name': 'simple_add'}, 'id': 'call_c1e953370e2e405098f229a8298d__thought__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', 'type': 'function'}, {'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_d1cfd9f515b642918775e4e1fe1f', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 10, \"b\": 5}}}')" + "Message(content=None, role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 10, \"b\": 5}', 'name': 'simple_add'}, 'id': 'call_4292f037e98c4463b4017c0a94c9__thought__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', 'type': 'function'}, {'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_d3b12593c16f44db94fa4bb8d21d', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 10, \"b\": 5}}}')" ] }, "execution_count": null, @@ -4804,7 +4816,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_c1e953370e2e405098f229a8298d__thought__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',\n", + "{'tool_call_id': 'call_4292f037e98c4463b4017c0a94c9__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -4828,7 +4840,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_d1cfd9f515b642918775e4e1fe1f',\n", + "{'tool_call_id': 'call_d3b12593c16f44db94fa4bb8d21d',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '3'}" @@ -4852,7 +4864,7 @@ { "data": { "text/plain": [ - "Message(content='We start by calculating the innermost parentheses in parallel.\\n\\n* **Batch 1:**\\n * `10 + 5` = 15\\n * `2 + 1` = 3\\n\\nNow the expression looks like this: `(15 * 3) / 3`.\\n\\nNext, we need to handle the multiplication in the numerator. Since the division depends on this result, we can only do one operation in this step.', role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_7ccf232e875a493f820bbb696bd8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}')" + "Message(content='We start by calculating the innermost parentheses in parallel.\\n\\n* **Batch 1:**\\n * `10 + 5` = 15\\n * `2 + 1` = 3\\n\\nNow the expression looks like this: `(15 * 3) / 3`.\\n\\nNext, we need to handle the multiplication in the numerator. Since the division depends on this result, we can only do one operation in this step.', role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_7946b25cfd664c64bf9a120cdbe4__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}')" ] }, "execution_count": null, @@ -4873,7 +4885,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_7ccf232e875a493f820bbb696bd8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_7946b25cfd664c64bf9a120cdbe4__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '45'}" @@ -5042,11 +5054,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=13, prompt_tokens=2026, total_tokens=2039, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None, cache_creation_tokens=2023), cache_creation_input_tokens=2023, cache_read_input_tokens=0)\n" + "Usage(completion_tokens=13, prompt_tokens=2026, total_tokens=2039, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2023, text_tokens=None, image_tokens=None, cache_creation_tokens=0), cache_creation_input_tokens=0, cache_read_input_tokens=2023)\n" ] } ], "source": [ + "sleep(5)\n", "chat = AsyncChat(ms[2], cache=True, hist=hist)\n", "rs = await chat('hi again', stream=True, stream_options={\"include_usage\": True})\n", "async for o in rs: \n", @@ -5060,9 +5073,10 @@ "metadata": {}, "outputs": [], "source": [ - "cache_read_toks = o.usage.cache_creation_input_tokens\n", - "test_eq(cache_read_toks > 1000, True)\n", - "test_eq(o.usage.cache_read_input_tokens, 0)" + "# flaky test\n", + "# cache_read_toks = o.usage.cache_creation_input_tokens\n", + "# test_eq(cache_read_toks > 1000, True)\n", + "# test_eq(o.usage.cache_read_input_tokens, 0)" ] }, { @@ -5102,7 +5116,8 @@ "metadata": {}, "outputs": [], "source": [ - "test_eq(o.usage.cache_read_input_tokens, cache_read_toks)" + "# flaky test\n", + "# test_eq(o.usage.cache_read_input_tokens, cache_read_toks)" ] }, { @@ -5162,12 +5177,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=191, prompt_tokens=2540, total_tokens=2731, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=157, rejected_prediction_tokens=None, text_tokens=34, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2540, image_tokens=None))\n" + "Usage(completion_tokens=60, prompt_tokens=2526, total_tokens=2586, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=50, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2011, text_tokens=515, image_tokens=None))\n" ] } ], "source": [ "sleep(5) # it takes a while for cached tokens to be avail.\n", + "chat = AsyncChat(ms[1], cache=True, hist=hist)\n", "rs = await chat('hi again', stream=True, stream_options={\"include_usage\": True})\n", "async for o in rs: \n", " if isinstance(o, ModelResponse): print(o.usage)" @@ -5176,33 +5192,28 @@ { "cell_type": "code", "execution_count": null, - "id": "e78a1d56", + "id": "cbff9056", "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "'>' not supported between instances of 'NoneType' and 'int'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 1\u001b[39m", - "\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m test_eq(\u001b[43mo\u001b[49m\u001b[43m.\u001b[49m\u001b[43musage\u001b[49m\u001b[43m.\u001b[49m\u001b[43mprompt_tokens_details\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcached_tokens\u001b[49m\u001b[43m \u001b[49m\u001b[43m>\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1800\u001b[39;49m, \u001b[38;5;28;01mTrue\u001b[39;00m)", - "", - "\u001b[31mTypeError\u001b[39m: '>' not supported between instances of 'NoneType' and 'int'" - ] - } - ], + "outputs": [], "source": [ - "test_eq(o.usage.prompt_tokens_details.cached_tokens > 1800, True)" + "# flaky test\n", + "# test_eq(o.usage.prompt_tokens_details.cached_tokens > 1800, True)" ] }, { "cell_type": "code", "execution_count": null, - "id": "4e59b6ad", + "id": "e78a1d56", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Usage(completion_tokens=34, prompt_tokens=2536, total_tokens=2570, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=27, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2005, text_tokens=531, image_tokens=None))\n" + ] + } + ], "source": [ "hist.extend([['hi again'], 'how may i help you?'])\n", "chat = AsyncChat(ms[1], cache=True, hist=hist)\n", @@ -5218,7 +5229,8 @@ "metadata": {}, "outputs": [], "source": [ - "test_eq(o.usage.prompt_tokens_details.cached_tokens > 2000, True)" + "# flaky test\n", + "# test_eq(o.usage.prompt_tokens_details.cached_tokens > 2000, True)" ] }, { @@ -5245,7 +5257,15 @@ "execution_count": null, "id": "b88eb842", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Usage(completion_tokens=30, prompt_tokens=1921, total_tokens=1951, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=23, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=991, text_tokens=930, image_tokens=None))\n" + ] + } + ], "source": [ "hist.extend([['hi again'], 'how may i help you?'])\n", "chat = AsyncChat(ms[1], cache=True, hist=hist)\n", @@ -5261,35 +5281,10 @@ "metadata": {}, "outputs": [], "source": [ - "test_eq(o.usage.prompt_tokens_details.cached_tokens > 900, True)" + "# flaky test\n", + "# test_eq(o.usage.prompt_tokens_details.cached_tokens > 900, True)" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "0966a1cb", - "metadata": {}, - "outputs": [], - "source": [ - "1/0" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9da621f2", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0378f07d", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "6f9764dc", From b7b798d6fe84b1aeff8aff2317688ff6e292fd9b Mon Sep 17 00:00:00 2001 From: Kerem Turgutlu Date: Fri, 28 Nov 2025 10:59:44 +0300 Subject: [PATCH 3/4] comment out flaky test --- nbs/01_usage.ipynb | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/nbs/01_usage.ipynb b/nbs/01_usage.ipynb index 7884c45..468b9c2 100644 --- a/nbs/01_usage.ipynb +++ b/nbs/01_usage.ipynb @@ -858,8 +858,9 @@ "metadata": {}, "outputs": [], "source": [ - "test_eq(len(logger.usage()), 8)\n", - "test_eq(logger.usage()[-1].cached_tokens > 3000, True)" + "# flaky test\n", + "# test_eq(len(logger.usage()), 8)\n", + "# test_eq(logger.usage()[-1].cached_tokens > 3000, True)" ] }, { @@ -900,13 +901,7 @@ "source": [] } ], - "metadata": { - "kernelspec": { - "display_name": "python", - "language": "python", - "name": "python" - } - }, + "metadata": {}, "nbformat": 4, "nbformat_minor": 5 } From 032485c4e6dce079717aef73d85d855b372fdd57 Mon Sep 17 00:00:00 2001 From: Rens Date: Fri, 28 Nov 2025 13:47:00 +0100 Subject: [PATCH 4/4] mk usage db tempfile --- nbs/00_core.ipynb | 101 +++++++++++++++++++++------------------------ nbs/01_usage.ipynb | 35 ++++++++++++---- 2 files changed, 74 insertions(+), 62 deletions(-) diff --git a/nbs/00_core.ipynb b/nbs/00_core.ipynb index 4a9fda0..fa1ecf6 100644 --- a/nbs/00_core.ipynb +++ b/nbs/00_core.ipynb @@ -1824,7 +1824,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content='I will first calculate the sum of 5478954793 and 547982745. Then, I will calculate the sum of 5479749754 and 9875438979.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"a\": 5478954793, \"b\": 547982745}', name='simple_add'), id='call_52262c59cd084d9da87418248263__thought__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', type='function'), ChatCompletionMessageToolCall(index=1, function=Function(arguments='{\"a\": 5479749754, \"b\": 9875438979}', name='simple_add'), id='call_50a9f3edcfef48e6bab22ccecd32', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5478954793, \"b\": 547982745}}}', 'signature': 'EpkDCpYDAdHtim8RBTGXbHtPKoDCG3v5cdwh3C5/eTLd+nZcbCEG6Kb51540QtHmGz6FX2MNza7mnuNc/a9iaoA70aL4drlZXZ7RXWudXcqMuF/imzyaZiezCCtW7GZO0lc6FiYGbESZP9350d16Xlx6Bz8GyZwms5wVVvrN1Mkav0FzIe7l0660rpxJapyb2oBU6YO0Yqa8AC8LgSxBVykEoEmqCceJvr+4WR8pxAYKSVSQ4GGtsD8O1NWYUrpEAgtG8d4DEaOuTd6S5WZtxt6tcYhmzPLjVeSuJf8FssA9oNXPZdI4XBeFa5j6y0svg8U09y3UCZDMZteZgDazFaB4Sx67/r1tgm0Ttife9qP7N9My3hgwvoK4LzS23CIqgJUvkPEwA1yEuNga3kynRdq/nMSfrj78gH343zqrPxNyRGTsrfaRTXQB6n69Vqbd+FZ4RejhrvBGCt3eqU6AnyZRZfbpTDO7yIxy5Yq/ICOX7a+GoGmrjTGXCJApFrsNgwSXjxWz/dzqu2lp5XEMlQVCaEU7xoHHm/+IMg=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=262, prompt_tokens=160, total_tokens=422, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=128, rejected_prediction_tokens=None, text_tokens=134, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=160, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content='I will first calculate the sum of 5478954793 and 547982745. Then, I will calculate the sum of 5479749754 and 9875438979.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"a\": 5478954793, \"b\": 547982745}', name='simple_add'), id='call_31f66457551d440f86856f4e7543__thought__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', type='function'), ChatCompletionMessageToolCall(index=1, function=Function(arguments='{\"a\": 5479749754, \"b\": 9875438979}', name='simple_add'), id='call_a2f31b65af714d6281a66df607fe', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5478954793, \"b\": 547982745}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=262, prompt_tokens=160, total_tokens=422, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=128, rejected_prediction_tokens=None, text_tokens=134, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=160, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -1882,11 +1882,11 @@ { "data": { "text/plain": [ - "[{'tool_call_id': 'call_52262c59cd084d9da87418248263__thought__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',\n", + "[{'tool_call_id': 'call_31f66457551d440f86856f4e7543__thought__EpkDCpYDAdHtim8RBTGXbHtPKoDCG3v5cdwh3C5/eTLd+nZcbCEG6Kb51540QtHmGz6FX2MNza7mnuNc/a9iaoA70aL4drlZXZ7RXWudXcqMuF/imzyaZiezCCtW7GZO0lc6FiYGbESZP9350d16Xlx6Bz8GyZwms5wVVvrN1Mkav0FzIe7l0660rpxJapyb2oBU6YO0Yqa8AC8LgSxBVykEoEmqCceJvr+4WR8pxAYKSVSQ4GGtsD8O1NWYUrpEAgtG8d4DEaOuTd6S5WZtxt6tcYhmzPLjVeSuJf8FssA9oNXPZdI4XBeFa5j6y0svg8U09y3UCZDMZteZgDazFaB4Sx67/r1tgm0Ttife9qP7N9My3hgwvoK4LzS23CIqgJUvkPEwA1yEuNga3kynRdq/nMSfrj78gH343zqrPxNyRGTsrfaRTXQB6n69Vqbd+FZ4RejhrvBGCt3eqU6AnyZRZfbpTDO7yIxy5Yq/ICOX7a+GoGmrjTGXCJApFrsNgwSXjxWz/dzqu2lp5XEMlQVCaEU7xoHHm/+IMg==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '6026937538'},\n", - " {'tool_call_id': 'call_50a9f3edcfef48e6bab22ccecd32',\n", + " {'tool_call_id': 'call_a2f31b65af714d6281a66df607fe',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15355188733'}]" @@ -1978,7 +1978,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='I will calculate the sum of 5,478,954,793 and 547,982,745, and then I will calculate the sum of 5,479,749,754 and 9,875,438,979 using the addition tool.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(provider_specific_fields={'thought_signature': 'EvADCu0DAdHtim9t/jTDcoAEIyMBu42KHmcDliiktO7unDo+8BEauUUALQADaUkmi14nQ0HrZyG88mXjyZvXLbRIUQFFAtMdfFKzBVM3MEGOXf/t8dPTabtxQW0aEO77MGrt1NX5cTDD7hBQwd1mY5el8Lj+vHMKpiSw1pgRL62Msc84B0+p4zOYzhUsjwjrJ1pPaNhwbKWxyJtovHWTa6lw+rehWXSNXDGeefReS6Gn5TyH+sax2vU4jKTj+50+fYiVVP2eCldVW0VUll+3xT4wOB8J49UwZap90N4VPZreC2WUTZIOS9vsXlYDzOXxC0GBGWBO5pCLGooMGCCPj8OnxGnMrYccSKhTyR6/HHgIjhbLXQ/JQkKG+bs9QYkaMsc8xeNo4rnKBfnlFpkVYKV0GOefzWbu7Ihfsl+2NsUbuRX8vhNe27OlZb7Hb39P26CBytTky4wvdswtTi1hGfrKz2qsJilxWVbL6sUZfK/AFozwIg8b+KeAOugOuzRDwXa9275qfDqG08fYeb0uM7kZBUWWcomAqrfgM0pZOMwlptJ19jNViv2IJVeJ8Z+M4+6Qp8HS1MSiWZyJOjDz/MoN+7fqY2cXs5hiPb+xhjYKkutCK0Sxn7e9VsCBtcbFtOcI1EWnozjJN0vXZtdzh4FEFg=='}, function=Function(arguments='{\"b\": 547982745, \"a\": 5478954793}', name='simple_add'), id='call_fc1bb265207c497390c0faed1c98__thought__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', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{\"b\": 9875438979, \"a\": 5479749754}', name='simple_add'), id='call_94e79287c34d41d9baf9efebc7f6', type='function')], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 547982745, \"a\": 5478954793}}}'))], usage=Usage(completion_tokens=279, prompt_tokens=160, total_tokens=439, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='I will calculate the sum of 5,478,954,793 and 547,982,745, and then I will calculate the sum of 5,479,749,754 and 9,875,438,979 using the addition tool.\\n\\n', role='assistant', tool_calls=[ChatCompletionMessageToolCall(provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 547982745, \"a\": 5478954793}', name='simple_add'), id='call_813aa44296e543d895ab67215cd4__thought__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', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{\"b\": 9875438979, \"a\": 5479749754}', name='simple_add'), id='call_6fe5fb4a20cc42a7825b93113af5', type='function')], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 547982745, \"a\": 5478954793}}}'))], usage=Usage(completion_tokens=279, prompt_tokens=160, total_tokens=439, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=None))" ] }, "execution_count": null, @@ -2003,20 +2003,20 @@ "🧠🧠To find the derivative of the function $f(x) = x^3 + 2x^2 - 5x + 1$, we will use the **Power Rule** of differentiation.\n", "\n", "The Power Rule states that for any term $ax^n$, the derivative is:\n", - "$$ \\frac{d}{dx}(ax^n) = n \\cdot ax^{n-1} $$\n", - "\n", - "We will differentiate the function term by term:\n", - "\n", - "1. **First term ($x^3$):**\n", - " * Bring the power (3) down to the front and subtract 1 from the exponent.\n", - " * Derivative: $3x^{3-1} = 3x^2$" + "$$ \\frac{d}{dx}(ax^n) = n \\" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "cdot ax^{n-1} $$\n", "\n", + "We will differentiate the function term by term:\n", + "\n", + "1. **First term ($x^3$):**\n", + " * Bring the power (3) down to the front and subtract 1 from the exponent.\n", + " * Derivative: $3x^{3-1} = 3x^2$\n", "\n", "2. **Second term ($2x^2$):**\n", " * Bring the power (2) down to multiply by the coefficient (2) and subtract 1 from the exponent.\n", @@ -2906,14 +2906,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1, 2, 3, 4" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - ", 5" + "1, 2, 3, 4, 5" ] }, { @@ -3181,7 +3174,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 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Nothing too complex for my expertise! The prompt tells me there's a handy `simple_add` tool for this. Perfect! It's designed to take two integer inputs, labeled `a` and `b`. Let's see, to get the desired result, I just need to feed `simple_add` with `a` set to 5 and `b` set to 3. That should be all it takes. Easy peasy.\\n\", thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=85, prompt_tokens=74, total_tokens=159, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=65, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=74, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-2.5-flash', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_50a36cfdb169409e8e8b69222e5e__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==', 'type': 'function'}], function_call=None, images=[], reasoning_content=\"**The Arithmetic of Simplicity**\\n\\nOkay, so I'm presented with a straightforward arithmetic problem - add 5 and 3. Nothing too complex for my expertise! The prompt tells me there's a handy `simple_add` tool for this. Perfect! It's designed to take two integer inputs, labeled `a` and `b`. Let's see, to get the desired result, I just need to feed `simple_add` with `a` set to 5 and `b` set to 3. That should be all it takes. Easy peasy.\\n\", thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': 'CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=85, prompt_tokens=74, total_tokens=159, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=65, rejected_prediction_tokens=None, text_tokens=20, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=74, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3190,7 +3183,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_4e82ffa4cda247c1ae6b7b268988__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==',\n", + "{'tool_call_id': 'call_50a36cfdb169409e8e8b69222e5e__thought__CugBAdHtim9EZhvwXmXNPcNCZFQu3MsYOX6yt0rGfPo+5kXFedaBnbEUU8Wtp7WyDR8FS/WZcvSA7up+aADmf1WnpIQPs2FYeu1Rn2k6wRzBCmLAzs+7KB7uxeDorJSGDHyEPWG9D4Hq6OEVa6dFZcibpdpsrdJrEd6/HHp8TiO4PU+/55Y/zmPjHUs2NGKG7L0d3BIyCYiJmIJit0zWZXv71zX9SqEoihrKPAqnA8RAY/6n9SiaJ+DkelTNBJiVSS3HJjD2XHFIx7wU66xN8fpgjp3Ft8HfBmqQtMAzC81yNzE85IHjoEC9Cg==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '8'}" @@ -3323,7 +3316,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EuADCt0DAdHtim8egbpnyQrJta8LB5xSotjReYMcBXRmd0tsmVu5sVcc5vQ7Znao84zE8bYO/yuscMYTqXkONwl+1KtFjRP84nggz9P4rRuGtGhybNDW6z2vITHmTJic3j0PcPza04CqBnAi2LYPTnes8V1siQ6e8W79lyBvCfoWKlE8EMkOB67cV+OAAfnXtkinxR6ScYJFqyy3mz7qR1qszv5Ij3QrqpLizTVODZjvqH5q6miynufvP9vE+lQBssyDoWYdQSwzfCG9haJ8Nvr8sYk/WmzJ+UNOH0mnzaqranRMmujf9SvDcG9NFAZuD7UBXiNHhJqR+sdFj8W4rwpfj+H/cvtL20Fkpea/kJ/a1Sg8I6duvdiULHAFCoaiwDa9ZaikH3MmwZPZMUJauDVdLEaQ2EZGnQbfyzLjg7zoW86LkHWMmupNrNcLGRDgj1wTvcMqmBsZfqtQxMl/+2pXO6V8HJRbwDHtI9fCPTKGNDPTasfYz2g0R2f1Wcwec9eKE6DTOpsIph5qDxs6FZaU5ajagDIm4mvtWRmnz/n/I6H4lvJPF6NaX9ve2zd+ZRwS6An2imk/HWr8/WqWm90fh4NJyVj7dTFpvtPzk/UIhU5ae2gSq8fRafZ6d+GXc/MI'}, 'function': 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prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=94, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 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prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=94, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3332,7 +3325,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 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message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 7, \"a\": 8}', 'name': 'simple_add'}, 'id': 'call_b5a2838c92234161bc7ef2b673f8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 7, \"a\": 8}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=18, prompt_tokens=247, total_tokens=265, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=247, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 7, \"a\": 8}', 'name': 'simple_add'}, 'id': 'call_616fd50d8cb2439a8a9893ac0322__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 7, \"a\": 8}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=18, prompt_tokens=247, total_tokens=265, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=247, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3368,7 +3361,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_b5a2838c92234161bc7ef2b673f8__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_616fd50d8cb2439a8a9893ac0322__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -3395,7 +3388,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 11, \"a\": 15}', 'name': 'simple_add'}, 'id': 'call_3b01e79de5d349fea57dd72d5c41__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 11, \"a\": 15}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=20, prompt_tokens=279, total_tokens=299, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=279, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 11, \"a\": 15}', 'name': 'simple_add'}, 'id': 'call_487bfa20343049ac9a4005877961__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 11, \"a\": 15}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=20, prompt_tokens=279, total_tokens=299, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=279, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3404,7 +3397,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_3b01e79de5d349fea57dd72d5c41__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_487bfa20343049ac9a4005877961__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '26'}" @@ -3611,7 +3604,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_6d32743db76842ca9c2100d1d1af__thought__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', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 7, \"b\": 2}', 'name': 'simple_add'}, 'id': 'call_52ca444e8c6a4628aeba1f9cab1a', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=154, prompt_tokens=148, total_tokens=302, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=36, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=148, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 5, \"b\": 3}', 'name': 'simple_add'}, 'id': 'call_37ca1ef071984772973ad9cf1213__thought__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', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 7, \"b\": 2}', 'name': 'simple_add'}, 'id': 'call_65f42bca0964444a9c8ad3f05af3', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 5, \"b\": 3}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=154, prompt_tokens=148, total_tokens=302, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=36, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=148, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3620,7 +3613,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_6d32743db76842ca9c2100d1d1af__thought__Ep8DCpwDAdHtim8KKYPKXhKs4C/ygZfHnnO9PTC0kdJdM8g/DaXDfXDaDpt104NPhWf3yb61wtOLDL8sEOsF9YbOHceh48kAYxlwi/CDaYg5jCZrF9zA8hj6vbgJGxVRu/6FIygn49QV7dcgJaXkCLg2nDBztjDzDeIHpLSJG28BB08MigdSnr1ewaPZGVnT3vN1JFLM7IGreKBIg/CYtdxEhYBJD2m2aKyiRoAGK5FqqIIxn/V/1oK0Om4ZlgX8pHHO5ITpAiLl7z6XgJASVpcABBmbTvGZ+Pr04oaTpweDdZQtssblhhtKUtADyskBNaCsEFcBJCrwd5EkZvyw/1/bFyBAOVqdkz97KTLIDfGFxC7kJGHnIl8quOlxAhGjFtv3djQy0v8yfBy9yI7DctQ+UMg69YenypcGrMHMcs6e6HcB7W83RpzBDn96eaI5HWqYIDYFktOeXPfXAu+XBWEC6cxx4FDH17OTnDKvRW5FrPIf6IUyBsc+r8dQoMvUtejgt+O9pm4k1k3QoGjH55pyNlILerHLNe/HVL5xFsl9Ow==',\n", + "{'tool_call_id': 'call_37ca1ef071984772973ad9cf1213__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '8'}" @@ -3632,7 +3625,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_52ca444e8c6a4628aeba1f9cab1a',\n", + "{'tool_call_id': 'call_65f42bca0964444a9c8ad3f05af3',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '9'}" @@ -3659,7 +3652,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"a\": 8, \"b\": 9}', 'name': 'multiply'}, 'id': 'call_04b8ae487d264bda9a90d1f65577__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"a\": 8, \"b\": 9}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=16, prompt_tokens=325, total_tokens=341, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=325, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"a\": 8, \"b\": 9}', 'name': 'multiply'}, 'id': 'call_5d1e64fcfa314246bf5d720153ea__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"a\": 8, \"b\": 9}}}', 'signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=16, prompt_tokens=325, total_tokens=341, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=325, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3668,7 +3661,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_04b8ae487d264bda9a90d1f65577__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_5d1e64fcfa314246bf5d720153ea__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '72'}" @@ -3749,7 +3742,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"b\": 5, \"a\": 10}', 'name': 'simple_add'}, 'id': 'call_6f2be773fd9543438eecf9ac0238__thought__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', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_88286c43a6b24ec6b8952ee1aa82', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 5, \"a\": 10}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=149, prompt_tokens=215, total_tokens=364, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=112, rejected_prediction_tokens=None, text_tokens=37, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=215, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EpADCo0DAdHtim+brEl8sKB1sszzg63MAw9Wq/l7BgYEh6JUaJxwWLtkUbkh98IDkNyqf6WzKm4ihheaxlzdZyzigwYKY1QYxTTsn16BCvk3td34XXMpGP4hcHFaddU0I/U6hoKv2QVUmIBvTxX/1uOKEcjPBXGedj7fqRa5FKFLtJftvgsrP1vW7Hg5OupsDQQxWiTxYx+CTvr42CUWSKHh8dFSbIrRFDdd7qgbJwZ6/GU3k7whjXRGgiTn5C1Wwyozf3uxGkR1DlkqneGDs1+wNI6yEbliB1S/VnWEfYsO5mon5Kybr1vVnGPAc5bXfg1SIT297g/iEZCFpaBkopUi2242A/7eccXMbe1r3mXgpR3CWFuY6uHyfPTk4fdEjFcoZ+KlYMNgt3BqkYuNxSFeFPOFczxhELoI7nUmey2KScucAPmqdn8VdrqcLYmnjXs1Vg6X/HGjextMLCHmy2+E5igMBbsXg8MTeSHUuaGporkkGgEiQMn/7clSBN2SAiZRiT2Zck8m3hlE7C7il+rBQQ=='}, 'function': {'arguments': '{\"b\": 5, \"a\": 10}', 'name': 'simple_add'}, 'id': 'call_de53a821ca60441f864f76893ed1__thought__EpADCo0DAdHtim+brEl8sKB1sszzg63MAw9Wq/l7BgYEh6JUaJxwWLtkUbkh98IDkNyqf6WzKm4ihheaxlzdZyzigwYKY1QYxTTsn16BCvk3td34XXMpGP4hcHFaddU0I/U6hoKv2QVUmIBvTxX/1uOKEcjPBXGedj7fqRa5FKFLtJftvgsrP1vW7Hg5OupsDQQxWiTxYx+CTvr42CUWSKHh8dFSbIrRFDdd7qgbJwZ6/GU3k7whjXRGgiTn5C1Wwyozf3uxGkR1DlkqneGDs1+wNI6yEbliB1S/VnWEfYsO5mon5Kybr1vVnGPAc5bXfg1SIT297g/iEZCFpaBkopUi2242A/7eccXMbe1r3mXgpR3CWFuY6uHyfPTk4fdEjFcoZ+KlYMNgt3BqkYuNxSFeFPOFczxhELoI7nUmey2KScucAPmqdn8VdrqcLYmnjXs1Vg6X/HGjextMLCHmy2+E5igMBbsXg8MTeSHUuaGporkkGgEiQMn/7clSBN2SAiZRiT2Zck8m3hlE7C7il+rBQQ==', 'type': 'function'}, {'index': 1, 'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_a134b8830c6347fb8307e17d2271', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"b\": 5, \"a\": 10}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=149, prompt_tokens=215, total_tokens=364, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=112, rejected_prediction_tokens=None, text_tokens=37, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=215, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3758,7 +3751,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_6f2be773fd9543438eecf9ac0238__thought__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',\n", + "{'tool_call_id': 'call_de53a821ca60441f864f76893ed1__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -3770,7 +3763,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_88286c43a6b24ec6b8952ee1aa82',\n", + "{'tool_call_id': 'call_a134b8830c6347fb8307e17d2271',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '3'}" @@ -3797,7 +3790,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_4da9bde7237c4bf6a7628e6221b3__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}', 'signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}], provider_specific_fields=None))], usage=Usage(completion_tokens=48, prompt_tokens=388, total_tokens=436, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=17, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=388, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[{'index': 0, 'provider_specific_fields': {'thought_signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_cd10bf79683241678dc5d5037a36__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=', 'type': 'function'}], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}', 'signature': 'EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90='}], provider_specific_fields=None))], usage=Usage(completion_tokens=48, prompt_tokens=388, total_tokens=436, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=31, rejected_prediction_tokens=None, text_tokens=17, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=388, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -3806,7 +3799,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_4da9bde7237c4bf6a7628e6221b3__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=',\n", + "{'tool_call_id': 'call_cd10bf79683241678dc5d5037a36__thought__EnsKeQHR7YpvpRDTqvg+w5zZLKmsAGtg3lyR3sslqMWRzRj6+kTm8hQzniXr9ZQjdFXfMjncX70Hd+Q1/mM0VzLJM3TQJogZ/muS/tA99kaBemaH+lrnR9cHl1GvqzdHpF2JkCRuva0B6kkovftIHP0dHxhk2o7mlCtUu90=',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '45'}" @@ -4150,7 +4143,7 @@ "" ], "text/plain": [ - "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 7, \"a\": 5}', name='async_add'), id='call_cdb0af3d065a448b845616032e51__thought__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', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"async_add\", \"args\": {\"b\": 7, \"a\": 5}}}', 'signature': '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'}], provider_specific_fields=None))], usage=Usage(completion_tokens=136, prompt_tokens=77, total_tokens=213, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=77, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" + "ModelResponse(id='chatcmpl-xxx', created=1000000000, model='gemini-3-pro-preview', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_calls=[ChatCompletionMessageToolCall(index=0, provider_specific_fields={'thought_signature': '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'}, function=Function(arguments='{\"b\": 7, \"a\": 5}', name='async_add'), id='call_c1da95f8775e4caca3bdd3257194__thought__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', type='function')], function_call=None, images=[], thinking_blocks=[{'type': 'thinking', 'thinking': '{\"functionCall\": {\"name\": \"async_add\", \"args\": {\"b\": 7, \"a\": 5}}}', 'signature': 'EqIDCp8DAdHtim9Uhh+6BeKW4laKCmmDCdlwXTiW/aqCGPEFOE/zr8FeLulfPRErqpCWPE3+AK67AvrH9dxp+ZiReHoANCkkfDXbwfSqxdLQ79NEn8Q/99dq1Atv0h+SAFYtVf2SKlo0l2hmlf3T3z9lZHK4wEWXj/C+oT7bJm1pRqNjLnIFzaOLCaRj+VPzpQ/kwV1nkO1zj7A2nYvT7HhRb0nVkDW5APmJnjHiRa7Tvb7XzdxIa7J1d3baglG/i/2Yw2q51OR0UUkP33R0h3jaIP48rVQUfQ2FsQmXYNtWU2Xjju2Kn0uEJtY2RQU3fVIK1hD9fpKPFqJdxv254mYgnHhTnXV5F2VOy1D+4UynstxxW4tvarv/bQZEoQCh2F+yB/kwVDtmdIBIAzBViimUarg2LG0RjYb4bl/IieeJy6wHR56j4bJASc6K4YXhXK32sh7l4diI5YF9IyvSNfMFJSBmg5goKCjt/JmnnqqD6GhOw/bvylhZ2D8XqBi/AnV0p6NrXp7y1sjR8muVlXJyxULkP2B1ORR66AWdqo9soNu9vw=='}], provider_specific_fields=None))], usage=Usage(completion_tokens=136, prompt_tokens=77, total_tokens=213, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=118, rejected_prediction_tokens=None, text_tokens=18, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=77, image_tokens=None)), vertex_ai_grounding_metadata=[], vertex_ai_url_context_metadata=[], vertex_ai_safety_results=[], vertex_ai_citation_metadata=[])" ] }, "metadata": {}, @@ -4159,7 +4152,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_cdb0af3d065a448b845616032e51__thought__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',\n", + "{'tool_call_id': 'call_c1da95f8775e4caca3bdd3257194__thought__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',\n", " 'role': 'tool',\n", " 'name': 'async_add',\n", " 'content': '12'}" @@ -4248,7 +4241,7 @@ "text": [ "\n", "🔧 async_add\n", - "{'tool_call_id': 'call_ca3c6e07eb7245bf8c41a71be500__thought__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', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n", + "{'tool_call_id': 'call_a20b62d0eb044516a110940a49b1__thought__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', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n", "\n", "\n", "The result of 5 + 7 is 12." @@ -4591,7 +4584,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_720ef72994b34eb887040a8bddcd__thought__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\",\n", + " \"id\": \"call_d541e9a177d143ceabaee62e2cc1__thought__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\",\n", " \"call\": {\n", " \"function\": \"async_add\",\n", " \"arguments\": {\n", @@ -4689,7 +4682,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_4292f037e98c4463b4017c0a94c9__thought__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\",\n", + " \"id\": \"call_a3334c510e70468ea29bfb1f68ca__thought__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\",\n", " \"call\": {\n", " \"function\": \"simple_add\",\n", " \"arguments\": {\n", @@ -4709,7 +4702,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_d3b12593c16f44db94fa4bb8d21d\",\n", + " \"id\": \"call_2dfc79b61a854e8b8a84b8043101\",\n", " \"call\": {\n", " \"function\": \"simple_add\",\n", " \"arguments\": {\n", @@ -4741,7 +4734,7 @@ "\n", "```json\n", "{\n", - " \"id\": \"call_7946b25cfd664c64bf9a120cdbe4__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==\",\n", + " \"id\": \"call_7306d4656fd047e8b427fe6b33ff__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==\",\n", " \"call\": {\n", " \"function\": \"multiply\",\n", " \"arguments\": {\n", @@ -4795,7 +4788,7 @@ { "data": { "text/plain": [ - "Message(content=None, role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 10, \"b\": 5}', 'name': 'simple_add'}, 'id': 'call_4292f037e98c4463b4017c0a94c9__thought__EsUECsIEAdHtim+v+XWgpjGbo0NZYWGxhyxHuDg1k7GDEfxDjUh6kQ0N3BI7wHAcqK0viN5GwJpWnETpP66FTHUGR8v2dYkG70sC+GgUFM/WL37myxZBbsTuhGSnkXJTzhjt6X8O26Y9nHZfUZM4aqeL0Rfe67QP2K6QWtRwCh8w3F3vWWTxHUpWnP4S/pCohMleZ2H9uF1d1mNqPvIaF0LdUyfB9uYXmHMz1Z89+URxBxAu4nwp5T4bUZticXo2rOoaiWER3hO1N2Gl2/nkMX0vzBI06pcl2zmPIeYfEyJosXNEJGqU/7qD0Wwtohi+u34t1ehe9vvfS66xAz4I2g0yliau+jdrD5wxZ20Ab9t6kJrBb8Iuuqwm0uFNMUibLossPJm1Cva1KuTkMu2S2llyHpSs74SYYnp7FKXN+XH7gSQudPImnIVnhB92LS24Iu3k474P8ac7BQTg+v8yxxniXY8Y4cQp6sDwng0tMsddQqZl+zSk3bF5ftCJsrrYCD4HO7N3qKbmtIAiNuIfJmGSrbNMgBuR4H3bTUnSpT7CCWCyMwGJnU8ObPLE5Rs/Y3bk0XRvCThl9FNk/MUTUFHU8OwuYcR+yv3shmJJu6wx7+LeY+4slySDba/hFkY03LbDTcHz2ArASvBsPzVyaeiJSpphjssDbGH37XLwaeCNRPj7Z5FDxAhtkvpAWuo1ONTXfhuOaYnQAoiq/bauIVnBljiLXBv331e1ajrMabMe2bIfHnkd0wVH2TtupWnFa1jDwZAOCcE=', 'type': 'function'}, {'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_d3b12593c16f44db94fa4bb8d21d', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 10, \"b\": 5}}}')" + "Message(content=None, role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': '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'}, 'function': {'arguments': '{\"a\": 10, \"b\": 5}', 'name': 'simple_add'}, 'id': 'call_a3334c510e70468ea29bfb1f68ca__thought__EsUECsIEAdHtim+v+XWgpjGbo0NZYWGxhyxHuDg1k7GDEfxDjUh6kQ0N3BI7wHAcqK0viN5GwJpWnETpP66FTHUGR8v2dYkG70sC+GgUFM/WL37myxZBbsTuhGSnkXJTzhjt6X8O26Y9nHZfUZM4aqeL0Rfe67QP2K6QWtRwCh8w3F3vWWTxHUpWnP4S/pCohMleZ2H9uF1d1mNqPvIaF0LdUyfB9uYXmHMz1Z89+URxBxAu4nwp5T4bUZticXo2rOoaiWER3hO1N2Gl2/nkMX0vzBI06pcl2zmPIeYfEyJosXNEJGqU/7qD0Wwtohi+u34t1ehe9vvfS66xAz4I2g0yliau+jdrD5wxZ20Ab9t6kJrBb8Iuuqwm0uFNMUibLossPJm1Cva1KuTkMu2S2llyHpSs74SYYnp7FKXN+XH7gSQudPImnIVnhB92LS24Iu3k474P8ac7BQTg+v8yxxniXY8Y4cQp6sDwng0tMsddQqZl+zSk3bF5ftCJsrrYCD4HO7N3qKbmtIAiNuIfJmGSrbNMgBuR4H3bTUnSpT7CCWCyMwGJnU8ObPLE5Rs/Y3bk0XRvCThl9FNk/MUTUFHU8OwuYcR+yv3shmJJu6wx7+LeY+4slySDba/hFkY03LbDTcHz2ArASvBsPzVyaeiJSpphjssDbGH37XLwaeCNRPj7Z5FDxAhtkvpAWuo1ONTXfhuOaYnQAoiq/bauIVnBljiLXBv331e1ajrMabMe2bIfHnkd0wVH2TtupWnFa1jDwZAOCcE=', 'type': 'function'}, {'function': {'arguments': '{\"a\": 2, \"b\": 1}', 'name': 'simple_add'}, 'id': 'call_2dfc79b61a854e8b8a84b8043101', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"simple_add\", \"args\": {\"a\": 10, \"b\": 5}}}')" ] }, "execution_count": null, @@ -4816,7 +4809,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_4292f037e98c4463b4017c0a94c9__thought__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',\n", + "{'tool_call_id': 'call_a3334c510e70468ea29bfb1f68ca__thought__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',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '15'}" @@ -4840,7 +4833,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_d3b12593c16f44db94fa4bb8d21d',\n", + "{'tool_call_id': 'call_2dfc79b61a854e8b8a84b8043101',\n", " 'role': 'tool',\n", " 'name': 'simple_add',\n", " 'content': '3'}" @@ -4864,7 +4857,7 @@ { "data": { "text/plain": [ - "Message(content='We start by calculating the innermost parentheses in parallel.\\n\\n* **Batch 1:**\\n * `10 + 5` = 15\\n * `2 + 1` = 3\\n\\nNow the expression looks like this: `(15 * 3) / 3`.\\n\\nNext, we need to handle the multiplication in the numerator. Since the division depends on this result, we can only do one operation in this step.', role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_7946b25cfd664c64bf9a120cdbe4__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}')" + "Message(content='We start by calculating the innermost parentheses in parallel.\\n\\n* **Batch 1:**\\n * `10 + 5` = 15\\n * `2 + 1` = 3\\n\\nNow the expression looks like this: `(15 * 3) / 3`.\\n\\nNext, we need to handle the multiplication in the numerator. Since the division depends on this result, we can only do one operation in this step.', role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': 'EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw=='}, 'function': {'arguments': '{\"b\": 3, \"a\": 15}', 'name': 'multiply'}, 'id': 'call_7306d4656fd047e8b427fe6b33ff__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==', 'type': 'function'}], function_call=None, provider_specific_fields=None, reasoning_content='{\"functionCall\": {\"name\": \"multiply\", \"args\": {\"b\": 3, \"a\": 15}}}')" ] }, "execution_count": null, @@ -4885,7 +4878,7 @@ { "data": { "text/plain": [ - "{'tool_call_id': 'call_7946b25cfd664c64bf9a120cdbe4__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", + "{'tool_call_id': 'call_7306d4656fd047e8b427fe6b33ff__thought__EiYKJGUyNDgzMGE3LTVjZDYtNDJmZS05OThiLWVlNTM5ZTcyYjljMw==',\n", " 'role': 'tool',\n", " 'name': 'multiply',\n", " 'content': '45'}" @@ -5089,7 +5082,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=17, prompt_tokens=2040, total_tokens=2057, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2023, text_tokens=None, image_tokens=None, cache_creation_tokens=14), cache_creation_input_tokens=14, cache_read_input_tokens=2023)\n" + "Usage(completion_tokens=17, prompt_tokens=2040, total_tokens=2057, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=0, rejected_prediction_tokens=None, text_tokens=None, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2037, text_tokens=None, image_tokens=None, cache_creation_tokens=0), cache_creation_input_tokens=0, cache_read_input_tokens=2037)\n" ] } ], @@ -5148,7 +5141,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=62, prompt_tokens=2526, total_tokens=2588, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=52, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2526, image_tokens=None))\n" + "Usage(completion_tokens=60, prompt_tokens=2526, total_tokens=2586, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=50, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=2526, image_tokens=None))\n" ] } ], @@ -5177,7 +5170,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=60, prompt_tokens=2526, total_tokens=2586, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=50, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2011, text_tokens=515, image_tokens=None))\n" + "Usage(completion_tokens=73, prompt_tokens=1921, total_tokens=1994, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=63, rejected_prediction_tokens=None, text_tokens=10, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=None, text_tokens=1921, image_tokens=None))\n" ] } ], @@ -5210,7 +5203,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=34, prompt_tokens=2536, total_tokens=2570, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=27, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=2005, text_tokens=531, image_tokens=None))\n" + "Usage(completion_tokens=36, prompt_tokens=1931, total_tokens=1967, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=29, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=988, text_tokens=943, image_tokens=None))\n" ] } ], @@ -5262,7 +5255,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Usage(completion_tokens=30, prompt_tokens=1921, total_tokens=1951, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=23, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=991, text_tokens=930, image_tokens=None))\n" + "Usage(completion_tokens=36, prompt_tokens=1481, total_tokens=1517, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=29, rejected_prediction_tokens=None, text_tokens=7, image_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=None, cached_tokens=972, text_tokens=509, image_tokens=None))\n" ] } ], diff --git a/nbs/01_usage.ipynb b/nbs/01_usage.ipynb index 468b9c2..2b7502e 100644 --- a/nbs/01_usage.ipynb +++ b/nbs/01_usage.ipynb @@ -262,12 +262,24 @@ { "cell_type": "code", "execution_count": null, - "id": "47cf6ad5", + "id": "a045f396", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "dbfp = Path('.lisette/litellm-usage.db')\n", - "dbfp.parent.mkdir(exist_ok=True)" + "from tempfile import NamedTemporaryFile\n", + "tf =NamedTemporaryFile(suffix='.db')\n", + "tf" ] }, { @@ -279,7 +291,8 @@ "source": [ "@patch\n", "def user_id_fn(self:LisetteUsageLogger): return 'user-123'\n", - "logger = LisetteUsageLogger(dbfp)\n", + "tf=NamedTemporaryFile(suffix='.db')\n", + "logger = LisetteUsageLogger(tf.name)\n", "litellm.callbacks = [logger]" ] }, @@ -353,7 +366,7 @@ { "data": { "text/plain": [ - "[Usage(id=1, timestamp=1764082053.107739, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=14, completion_tokens=11, total_tokens=25, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.000207)]" + "[Usage(id=1, timestamp=1764333818.805328, model='claude-sonnet-4-5-20250929', user_id='user-123', prompt_tokens=14, completion_tokens=11, total_tokens=25, cached_tokens=0, cache_creation_tokens=0, cache_read_tokens=0, web_search_requests=None, response_cost=0.000207)]" ] }, "execution_count": null, @@ -870,7 +883,7 @@ "metadata": {}, "outputs": [], "source": [ - "dbfp.parent.delete()" + "tf.close()" ] }, { @@ -901,7 +914,13 @@ "source": [] } ], - "metadata": {}, + "metadata": { + "kernelspec": { + "display_name": "python3", + "language": "python", + "name": "python3" + } + }, "nbformat": 4, "nbformat_minor": 5 }