chat_persistence_orderingTier 1 · 70% confidence
ai-agents-chat-persistence-ord-openai-api-returns-badrequesterror-with-role-tool--4bad74ca
agent: ai_agents
When does this happen?
IF OpenAI API returns BadRequestError with 'role tool must be response to preceding tool_calls' when loading a persisted SimpleChatStore and using OpenAIAgent with memory.
How others solved it
THEN Ensure that when loading a persisted chat store, messages with role 'tool' are correctly paired with preceding 'tool_calls' messages. Validate the message sequence before using as memory, or apply a correction function that reorders pairs. The memory buffer should maintain tool/assistant message pairing to avoid API errors.
def validate_and_correct_messages(messages):
corrected = []
for i, msg in enumerate(messages):
if msg.role == 'tool':
if i == 0 or messages[i-1].role != 'tool_calls':
raise ValueError("Tool message without preceding tool_calls")
corrected.append(msg)
return correctedRelated patterns
model_loading
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Tier 1 · 70%
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Tier 1 · 70%
tool_handlingai-agents-tool-handling-repeated-identical-tool-function-names-in-consecut-18263441
Tier 1 · 70%
tool_calling_conflictai-agents-tool-calling-conflic-when-using-bedrock-models-with-both-structured-out-6184f1e9
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ollama_chunk_parsingai-agents-ollama-chunk-parsing-ollama-model-returns-thinking-field-in-streaming-c-0624da72
Tier 1 · 70%
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