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fix: handle multiple tool calls in tools examples (#634)

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This commit is contained in:
Krishna Chaitanya
2026-07-22 11:53:32 -07:00
committed by GitHub
parent 3c5a26a0c5
commit 25b93290d8
2 changed files with 14 additions and 12 deletions
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examples/async-tools.py
+7 -6
View File
@@ -62,6 +62,9 @@ async def main():
if response.message.tool_calls: if response.message.tool_calls:
# There may be multiple tool calls in the response # There may be multiple tool calls in the response
# Add the assistant message with tool calls to the conversation
messages.append(response.message)
for tool in response.message.tool_calls: for tool in response.message.tool_calls:
# Ensure the function is available, and then call it # Ensure the function is available, and then call it
if function_to_call := available_functions.get(tool.function.name): if function_to_call := available_functions.get(tool.function.name):
@@ -71,14 +74,12 @@ async def main():
print('Function output:', output) print('Function output:', output)
else: else:
print('Function', tool.function.name, 'not found') print('Function', tool.function.name, 'not found')
output = 'Function not found'
# Only needed to chat with the model using the tool call results # Add each tool result as a separate message
if response.message.tool_calls: messages.append({'role': 'tool', 'content': str(output), 'tool_name': tool.function.name})
# Add the function response to messages for the model to use
messages.append(response.message)
messages.append({'role': 'tool', 'content': str(output), 'tool_name': tool.function.name})
# Get final response from model with function outputs # Get final response from model with all tool call results
final_response = await client.chat('llama3.1', messages=messages) final_response = await client.chat('llama3.1', messages=messages)
print('Final response:', final_response.message.content) print('Final response:', final_response.message.content)
examples/tools.py
+7 -6
View File
@@ -60,6 +60,9 @@ response: ChatResponse = chat(
if response.message.tool_calls: if response.message.tool_calls:
# There may be multiple tool calls in the response # There may be multiple tool calls in the response
# Add the assistant message with tool calls to the conversation
messages.append(response.message)
for tool in response.message.tool_calls: for tool in response.message.tool_calls:
# Ensure the function is available, and then call it # Ensure the function is available, and then call it
if function_to_call := available_functions.get(tool.function.name): if function_to_call := available_functions.get(tool.function.name):
@@ -69,14 +72,12 @@ if response.message.tool_calls:
print('Function output:', output) print('Function output:', output)
else: else:
print('Function', tool.function.name, 'not found') print('Function', tool.function.name, 'not found')
output = 'Function not found'
# Only needed to chat with the model using the tool call results # Add each tool result as a separate message
if response.message.tool_calls: messages.append({'role': 'tool', 'content': str(output), 'tool_name': tool.function.name})
# Add the function response to messages for the model to use
messages.append(response.message)
messages.append({'role': 'tool', 'content': str(output), 'tool_name': tool.function.name})
# Get final response from model with function outputs # Get final response from model with all tool call results
final_response = chat('llama3.1', messages=messages) final_response = chat('llama3.1', messages=messages)
print('Final response:', final_response.message.content) print('Final response:', final_response.message.content)