feat(rollout): export system_prompt and tools for training data#258
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The global patch fell back to the original SDK when no ContextVar strategy was active, which meant trajectory saving (outside _fetch_response) lost all reasoning items. Now auto-detects reasoning items and uses DeepSeekReasoningStrategy as fallback to inject reasoning_content. Also removes premature filtering in ChatCompletionConverter.items_to_messages so reasoning items reach the global patch, and adds a concurrent rollout test script (examples/rollout/run_concurrent.py). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add extract_system_and_tools() to capture agent instructions and tool definitions (via Converter.tool_to_openai) in chat.completions format, so JSONL output contains all fields needed for training pipelines. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
extract_system_and_tools()to capture agent instructions and tool definitions in OpenAI chat.completions formatsystem_promptandtoolsfields alongside messages with reasoning — ready for training pipelinesChanges
examples/rollout/run_concurrent.py: extract system prompt fromAgent.instructions, convert tools viaConverter.tool_to_openai, report in summaryCloses #253