feat: add tool usage recording to streaming responses interceptor #123
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,54 @@ | ||
| -- request -- | ||
| { | ||
| "input": "Use the code_exec tool to print hello world to the console.", | ||
| "model": "gpt-5", | ||
| "stream": true, | ||
| "tools": [ | ||
| { | ||
| "type": "custom", | ||
| "name": "code_exec", | ||
| "description": "Executes arbitrary Python code." | ||
| } | ||
| ] | ||
| } | ||
|
|
||
| -- streaming -- | ||
| event: response.created | ||
| data: {"type":"response.created","response":{"id":"resp_0c26996bc41c2a0500696942e83634819fb71b2b8ff8a4a76c","object":"response","created_at":1768506088,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5-2025-08-07","output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"medium","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"type":"custom","description":"Executes arbitrary Python code.","format":{"type":"text"},"name":"code_exec"}],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0} | ||
|
|
||
| event: response.in_progress | ||
| data: {"type":"response.in_progress","response":{"id":"resp_0c26996bc41c2a0500696942e83634819fb71b2b8ff8a4a76c","object":"response","created_at":1768506088,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5-2025-08-07","output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"medium","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"type":"custom","description":"Executes arbitrary Python code.","format":{"type":"text"},"name":"code_exec"}],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1} | ||
|
|
||
| event: response.output_item.added | ||
| data: {"type":"response.output_item.added","item":{"id":"rs_0c26996bc41c2a0500696942e8ae90819fb421c1b6a945aa99","type":"reasoning","summary":[]},"output_index":0,"sequence_number":2} | ||
|
|
||
| event: response.output_item.done | ||
| data: {"type":"response.output_item.done","item":{"id":"rs_0c26996bc41c2a0500696942e8ae90819fb421c1b6a945aa99","type":"reasoning","summary":[]},"output_index":0,"sequence_number":3} | ||
|
|
||
| event: response.output_item.added | ||
| data: {"type":"response.output_item.added","item":{"id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","type":"custom_tool_call","status":"in_progress","call_id":"call_2gSnF58IEhXLwlbnqbm5XKMd","input":"","name":"code_exec"},"output_index":1,"sequence_number":4} | ||
|
|
||
| event: response.custom_tool_call_input.delta | ||
| data: {"type":"response.custom_tool_call_input.delta","delta":"print","item_id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","obfuscation":"sTDUEAHu5aJ","output_index":1,"sequence_number":5} | ||
|
|
||
| event: response.custom_tool_call_input.delta | ||
| data: {"type":"response.custom_tool_call_input.delta","delta":"(\"","item_id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","obfuscation":"qvFA5MbN9ZUnBH","output_index":1,"sequence_number":6} | ||
|
|
||
| event: response.custom_tool_call_input.delta | ||
| data: {"type":"response.custom_tool_call_input.delta","delta":"hello","item_id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","obfuscation":"rRrXgQDOuwG","output_index":1,"sequence_number":7} | ||
|
|
||
| event: response.custom_tool_call_input.delta | ||
| data: {"type":"response.custom_tool_call_input.delta","delta":" world","item_id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","obfuscation":"DwnJdEFXvZ","output_index":1,"sequence_number":8} | ||
|
|
||
| event: response.custom_tool_call_input.delta | ||
| data: {"type":"response.custom_tool_call_input.delta","delta":"\")","item_id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","obfuscation":"pEr2t8Vpv3Ij96","output_index":1,"sequence_number":9} | ||
|
|
||
| event: response.custom_tool_call_input.done | ||
| data: {"type":"response.custom_tool_call_input.done","input":"print(\"hello world\")","item_id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","output_index":1,"sequence_number":10} | ||
|
|
||
| event: response.output_item.done | ||
| data: {"type":"response.output_item.done","item":{"id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","type":"custom_tool_call","status":"completed","call_id":"call_2gSnF58IEhXLwlbnqbm5XKMd","input":"print(\"hello world\")","name":"code_exec"},"output_index":1,"sequence_number":11} | ||
|
|
||
| event: response.completed | ||
| data: {"type":"response.completed","response":{"id":"resp_0c26996bc41c2a0500696942e83634819fb71b2b8ff8a4a76c","object":"response","created_at":1768506088,"status":"completed","background":false,"completed_at":1768506095,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5-2025-08-07","output":[{"id":"rs_0c26996bc41c2a0500696942e8ae90819fb421c1b6a945aa99","type":"reasoning","summary":[]},{"id":"ctc_0c26996bc41c2a0500696942ee6db8819fa6e841317eecbfb2","type":"custom_tool_call","status":"completed","call_id":"call_2gSnF58IEhXLwlbnqbm5XKMd","input":"print(\"hello world\")","name":"code_exec"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"medium","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"type":"custom","description":"Executes arbitrary Python code.","format":{"type":"text"},"name":"code_exec"}],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":64,"input_tokens_details":{"cached_tokens":0},"output_tokens":340,"output_tokens_details":{"reasoning_tokens":320},"total_tokens":404},"user":null,"metadata":{}},"sequence_number":12} | ||
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nit: expected or missing linter?
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Without this new line completed event is not read by openAI library (
stream.Next()/stream.Current()) .mdn docs mention "Messages in the event stream are separated by a pair of newline characters." so I think without trailing new lines last event is skipped. I can see 2 new lines in what OpenAI API returns.