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Merged
jph00 merged 2 commits into from
Feb 13, 2026
Merged

run parallel tool calls in parallel #113

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e1f0292
run parallel tool calls in parallel
KeremTurgutlu Feb 9, 2026
c2e55f3
Merge branch 'main' into feat/112-parallel-tool-calls
jph00 Feb 13, 2026
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11 changes: 5 additions & 6 deletions lisette/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -451,7 +451,8 @@ def _call(self:Chat, msg=None, prefill=None, temp=None, think=None, search=None,
return
yield res
if tcs := _filter_srvtools(m.tool_calls):
tool_results=[_lite_call_func(tc, self.tool_schemas, self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval) for tc in tcs]
_f = partial(_lite_call_func, tool_schemas=self.tool_schemas, ns=self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval)
tool_results=list(parallel(_f, tcs, threadpool=True, n_workers=len(tcs)))
self.hist+=tool_results
for r in tool_results: yield r
if step>=max_steps: prompt,tool_choice,search = final_prompt,'none',False
Expand Down Expand Up @@ -565,11 +566,9 @@ async def _call(self, msg=None, prefill=None, temp=None, think=None, search=None
yield res

if tcs := _filter_srvtools(m.tool_calls):
tool_results = []
for tc in tcs:
result = await _alite_call_func(tc, self.tool_schemas, self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval)
tool_results.append(result)
yield result
tool_results = await asyncio.gather(*[
_alite_call_func(tc, self.tool_schemas, self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval) for tc in tcs])
for r in tool_results: yield r
self.hist+=tool_results
if step>=max_steps-1: prompt,tool_choice,search = final_prompt,'none',False
else: prompt = None
Expand Down
51 changes: 29 additions & 22 deletions nbs/00_core.ipynb
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3188,7 +3188,8 @@
" return\n",
" yield res\n",
" if tcs := _filter_srvtools(m.tool_calls):\n",
" tool_results=[_lite_call_func(tc, self.tool_schemas, self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval) for tc in tcs]\n",
" _f = partial(_lite_call_func, tool_schemas=self.tool_schemas, ns=self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval)\n",
" tool_results=list(parallel(_f, tcs, threadpool=True, n_workers=len(tcs)))\n",
" self.hist+=tool_results\n",
" for r in tool_results: yield r\n",
" if step>=max_steps: prompt,tool_choice,search = final_prompt,'none',False\n",
Expand Down Expand Up @@ -6970,6 +6971,14 @@
" self.value = stream_chunk_builder(chunks)"
]
},
{
"cell_type": "markdown",
"id": "eaba5ab0",
"metadata": {},
"source": [
"Parallel tool execution in `AsyncChat` works with both sync and async tool functions. Async tools run concurrently via `asyncio.gather`, while sync tools are automatically offloaded to threads via `asyncio.to_thread` in `call_func_async` (toolslm). For sync `Chat`, tools run in parallel via `fastcore.parallel` with threads."
]
},
{
"cell_type": "code",
"execution_count": null,
Expand Down Expand Up @@ -7008,11 +7017,9 @@
" yield res\n",
"\n",
" if tcs := _filter_srvtools(m.tool_calls):\n",
" tool_results = []\n",
" for tc in tcs:\n",
" result = await _alite_call_func(tc, self.tool_schemas, self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval)\n",
" tool_results.append(result)\n",
" yield result\n",
" tool_results = await asyncio.gather(*[\n",
" _alite_call_func(tc, self.tool_schemas, self.ns, tc_res=self.tc_res, tc_res_eval=self.tc_res_eval) for tc in tcs])\n",
" for r in tool_results: yield r\n",
" self.hist+=tool_results\n",
" if step>=max_steps-1: prompt,tool_choice,search = final_prompt,'none',False\n",
" else: prompt = None\n",
Expand Down Expand Up @@ -7280,7 +7287,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"{'tool_call_id': 'call_0m1TlhBYToydcXPlW8f96w', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n",
"{'tool_call_id': 'call_MSNO_m5kQEOqpQ9OxvAJMw', 'role': 'tool', 'name': 'async_add', 'content': '12'}\n",
"The sum of 5 and 7 is 12."
]
}
Expand Down Expand Up @@ -7815,7 +7822,7 @@
"\n",
"```json\n",
"{\n",
" \"id\": \"call_fOcbSPulTlmYozc2_RrHzg\",\n",
" \"id\": \"call_GtCm8ia9SXSTtWSwi_BMPg\",\n",
" \"call\": {\n",
" \"function\": \"async_add\",\n",
" \"arguments\": {\n",
Expand Down Expand Up @@ -7920,7 +7927,7 @@
"\n",
"```json\n",
"{\n",
" \"id\": \"call_40WscurDQgSt587zftLsLw\",\n",
" \"id\": \"call_hW89leCuShusWWIWrg_byA\",\n",
" \"call\": {\n",
" \"function\": \"simple_add\",\n",
" \"arguments\": {\n",
Expand All @@ -7941,7 +7948,7 @@
"\n",
"```json\n",
"{\n",
" \"id\": \"call__4jsgn_ZQnOVYnOGUozCQQ\",\n",
" \"id\": \"call_40WscurDQgSt587zftLsLw\",\n",
" \"call\": {\n",
" \"function\": \"simple_add\",\n",
" \"arguments\": {\n",
Expand Down Expand Up @@ -7988,7 +7995,7 @@
{
"data": {
"text/plain": [
"Message(content=None, role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': 'EjQKMgG+Pvb7flzsNemEsWPXNGRFnhyvmQoZhKthF7xruwK0UZR21vDR1SwlKs3KsoGnhcN5'}, 'function': {'arguments': '{\"b\": 5, \"a\": 10}', 'name': 'simple_add'}, 'id': 'call_40WscurDQgSt587zftLsLw', 'type': 'function'}, {'function': {'arguments': '{\"b\": 1, \"a\": 2}', 'name': 'simple_add'}, 'id': 'call__4jsgn_ZQnOVYnOGUozCQQ', 'type': 'function'}], function_call=None, provider_specific_fields=None)"
"Message(content=None, role='assistant', tool_calls=[{'provider_specific_fields': {'thought_signature': 'EjQKMgG+Pvb7flzsNemEsWPXNGRFnhyvmQoZhKthF7xruwK0UZR21vDR1SwlKs3KsoGnhcN5'}, 'function': {'arguments': '{\"b\": 5, \"a\": 10}', 'name': 'simple_add'}, 'id': 'call_hW89leCuShusWWIWrg_byA', 'type': 'function'}, {'function': {'arguments': '{\"b\": 1, \"a\": 2}', 'name': 'simple_add'}, 'id': 'call_40WscurDQgSt587zftLsLw', 'type': 'function'}], function_call=None, provider_specific_fields=None)"
]
},
"execution_count": null,
Expand All @@ -8009,7 +8016,7 @@
{
"data": {
"text/plain": [
"{'tool_call_id': 'call_40WscurDQgSt587zftLsLw',\n",
"{'tool_call_id': 'call_hW89leCuShusWWIWrg_byA',\n",
" 'role': 'tool',\n",
" 'name': 'simple_add',\n",
" 'content': '15'}"
Expand All @@ -8033,7 +8040,7 @@
{
"data": {
"text/plain": [
"{'tool_call_id': 'call__4jsgn_ZQnOVYnOGUozCQQ',\n",
"{'tool_call_id': 'call_40WscurDQgSt587zftLsLw',\n",
" 'role': 'tool',\n",
" 'name': 'simple_add',\n",
" 'content': '3'}"
Expand Down Expand Up @@ -8261,23 +8268,23 @@
"text/markdown": [
"Perfect! I successfully completed both steps:\n",
"\n",
"1. **Retrieved person data**: I called `get_person` which returned a person named Alice who is 30 years old.\n",
"1. **Retrieved person data**: I called `get_person` which returned information about Alice, who is 30 years old.\n",
"\n",
"2. **Greeted the person**: I then passed Alice's data to `greet_person`, which generated the greeting: \"Hello Alice, you are 30 years old!\"\n",
"\n",
"The task has been completed successfully. The person's information was retrieved and used to create a personalized greeting.\n",
"The task has been completed successfully. The person's data was retrieved and used to create a personalized greeting.\n",
"\n",
"<details>\n",
"\n",
"- id: `chatcmpl-xxx`\n",
"- model: `claude-sonnet-4-5-20250929`\n",
"- finish_reason: `stop`\n",
"- usage: `Usage(completion_tokens=103, prompt_tokens=1077, total_tokens=1180, 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=103, prompt_tokens=1083, total_tokens=1186, 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",
"</details>"
],
"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='Perfect! I successfully completed both steps:\\n\\n1. **Retrieved person data**: I called `get_person` which returned a person named Alice who is 30 years old.\\n\\n2. **Greeted the person**: I then passed Alice\\'s data to `greet_person`, which generated the greeting: \"Hello Alice, you are 30 years old!\"\\n\\nThe task has been completed successfully. The person\\'s information was retrieved and used to create a personalized greeting.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=103, prompt_tokens=1077, total_tokens=1180, 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='claude-sonnet-4-5-20250929', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='Perfect! I successfully completed both steps:\\n\\n1. **Retrieved person data**: I called `get_person` which returned information about Alice, who is 30 years old.\\n\\n2. **Greeted the person**: I then passed Alice\\'s data to `greet_person`, which generated the greeting: \"Hello Alice, you are 30 years old!\"\\n\\nThe task has been completed successfully. The person\\'s data was retrieved and used to create a personalized greeting.', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'citations': None, 'thinking_blocks': None}))], usage=Usage(completion_tokens=103, prompt_tokens=1083, total_tokens=1186, 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,
Expand All @@ -8299,8 +8306,8 @@
{
"data": {
"text/plain": [
"{'toolu_CJswoICfSSOHoXmP5q3dng': {'name': 'Alice', 'age': 30},\n",
" 'toolu_y00Y1q22SjWXNKJskulOiQ': 'Hello Alice, you are 30 years old!'}"
"{'toolu_Ydn_OYFHSPSfDvMg9_YOfw': {'name': 'Alice', 'age': 30},\n",
" 'toolu_CJswoICfSSOHoXmP5q3dng': 'Hello Alice, you are 30 years old!'}"
]
},
"execution_count": null,
Expand All @@ -8323,12 +8330,12 @@
"text/plain": [
"[[{'index': 1,\n",
" 'function': {'arguments': '{}', 'name': 'get_person'},\n",
" 'id': 'toolu_CJswoICfSSOHoXmP5q3dng',\n",
" 'id': 'toolu_Ydn_OYFHSPSfDvMg9_YOfw',\n",
" 'type': 'function'}],\n",
" [{'index': 1,\n",
" 'function': {'arguments': '{\"person\": \"$`toolu_CJswoICfSSOHoXmP5q3dng`\"}',\n",
" 'function': {'arguments': '{\"person\": \"$`toolu_Ydn_OYFHSPSfDvMg9_YOfw`\"}',\n",
" 'name': 'greet_person'},\n",
" 'id': 'toolu_y00Y1q22SjWXNKJskulOiQ',\n",
" 'id': 'toolu_CJswoICfSSOHoXmP5q3dng',\n",
" 'type': 'function'}]]"
]
},
Expand Down