Defensive coding for negative indices in tool calls #469
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Hello,
I was integrating the AWS Bedrock openAI-compatible API and encountered a slight difference in behaviour.
Chunks being streaming back from AWS Bedrock have their index set to
-1, whilst on openAI they come back as0until the JSON is ready to be returned.This causes an out of bound exception on the modified line.
There are other differences in the chunks, but they don't cause a crash and I seem to be able to consume them fine.
AWS Bedrock chunk response:
{ "id": "chatcmpl-70532f9c", "choices": [ { "delta": { "content": "", "function_call": { "arguments": "", "name": "" }, "refusal": "", "role": "", "tool_calls": [ { "index": -1, "id": "tooluse_VcI3wsREQIa5oPhbJFQLpw", "function": { "arguments": "", "name": "save_feedback_score" }, "type": "function" } ] }, "finish_reason": "", "index": 0, "logprobs": { "content": null, "refusal": null } } ], "created": 1754582425, "model": "us.anthropic.claude-sonnet-4-20250514-v1:0", "object": "chat.completion.chunk", "service_tier": "", "system_fingerprint": "fp", "usage": { "completion_tokens": 0, "prompt_tokens": 0, "total_tokens": 0, "completion_tokens_details": { "accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0 }, "prompt_tokens_details": { "audio_tokens": 0, "cached_tokens": 0 } } }OpenAI chunk response
{ "id": "chatcmpl-C1xgePnJXGTptveRLPTKA3x1LoslN", "choices": [ { "delta": { "content": "", "function_call": { "arguments": "", "name": "" }, "refusal": "", "role": "assistant", "tool_calls": [ { "index": 0, "id": "call_IVOmd9ris8YOk1b1hiGQtxIE", "function": { "arguments": "", "name": "save_feedback_score" }, "type": "function" } ] }, "finish_reason": "", "index": 0, "logprobs": { "content": null, "refusal": null } } ], "created": 1754583800, "model": "gpt-4.1-2025-04-14", "object": "chat.completion.chunk", "service_tier": "default", "system_fingerprint": "fp_799e4ca3f1", "usage": { "completion_tokens": 0, "prompt_tokens": 0, "total_tokens": 0, "completion_tokens_details": { "accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0 }, "prompt_tokens_details": { "audio_tokens": 0, "cached_tokens": 0 } } }