8 lines
5.3 KiB
JSON
8 lines
5.3 KiB
JSON
{"type":"session","version":3,"id":"019f903e-b990-7185-845e-3bdc103edefe","timestamp":"2026-07-23T18:30:57.680Z","cwd":"/home/liph/dotfiles/pi/.pi"}
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{"type":"model_change","id":"4d6bf930","parentId":null,"timestamp":"2026-07-23T18:30:59.452Z","provider":"ollama","modelId":"kimi-k2.7-code:cloud"}
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{"type":"thinking_level_change","id":"d8e1f0ca","parentId":"4d6bf930","timestamp":"2026-07-23T18:30:59.453Z","thinkingLevel":"medium"}
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{"type":"message","id":"f03c9dfd","parentId":"d8e1f0ca","timestamp":"2026-07-23T18:30:59.964Z","message":{"role":"user","content":[{"type":"text","text":"help"}],"timestamp":1784831459648}}
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{"type":"message","id":"b9bee1b4","parentId":"f03c9dfd","timestamp":"2026-07-23T18:31:03.532Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The user said \"help\". I should provide a helpful overview of what I can do, and given the context-mode active and session_mode implement, maybe offer implementation-related help.\n\nSince this is a simple help request (1 conversational turn, no files), I don't need to delegate. I should just respond directly.\n\nLet me give a concise, useful response about how they can use me.","thinkingSignature":"reasoning"},{"type":"text","text":"Hi! I’m your coding assistant inside **pi**. I can help you with:\n\n- **Reading & editing code** — open files, make precise edits, write new files\n- **Running commands** — shell, git, tests, builds, package managers\n- **Research** — web search, fetch docs, grep/explore codebases\n- **Multi-agent workflows** — delegate exploration, planning, implementation, review, or verification to pi-crew subagents\n- **Context-mode aware work** — `ctx_execute`, `ctx_batch_execute`, `ctx_search`, etc. for large outputs or complex analysis\n\nYour session mode is **implement**, so I’m primed for hands-on coding tasks.\n\nWhat would you like to work on? For example:\n- “Refactor X in these files”\n- “Fix bug Y”\n- “Explore this codebase and plan a feature”\n- “Review my recent changes”\n- “Run tests and report failures”"}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":21383,"output":278,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":21661,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1784831460033,"responseId":"chatcmpl-426","responseModel":"kimi-k2.7-code"}}
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{"type":"message","id":"2882246c","parentId":"b9bee1b4","timestamp":"2026-07-23T18:31:03.600Z","message":{"role":"user","content":[{"type":"text","text":"chain"}],"timestamp":1784831463573}}
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{"type":"message","id":"5465f0de","parentId":"2882246c","timestamp":"2026-07-23T18:31:09.233Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The user just said \"chain\". Given the context-mode active state and session_mode implement, and the previous help message, they might be asking about:\n1. pi-crew chains (the `team` tool with chain syntax, or `subagent` chain mode)\n2. Context-mode command chain hierarchy that was just displayed\n3. Some specific chain-related functionality\n\nGiven the context-mode hint about hierarchy and the implement mode, and that I previously mentioned multi-agent workflows, the user likely wants to use a chain workflow. I should clarify what they mean or offer to set up a chain.\n\nActually, looking more carefully - the user said \"chain\" right after my help message. This is ambiguous. They might be:\n- Asking me to explain chains\n- Wanting to run a chain workflow\n- Responding to my list with the keyword \"chain\" meaning they want that mode\n\nI should ask for clarification but also provide useful context about what chain can mean here. Since this is implement mode and context-mode active, I should be concise.\n\nLet me offer the two main interpretations:\n1. pi-crew chain workflow (sequential subagents)\n2. Maybe they want me to use a chain of operations\n\nI'll respond asking what task they'd like to chain, and briefly explain the options.","thinkingSignature":"reasoning"},{"type":"text","text":"Got it — “chain” can mean two things here. Which did you have in mind?\n\n**1. pi-crew chain workflow** — run subagents sequentially, passing output from one to the next. Good for: research → plan → implement → review. \nExample: `team action='run', chain='\"Explore auth code\" -> \"Plan refactor\" -> \"Implement\" -> \"Review\"'`\n\n**2. Context-mode chain** — the hierarchy you just saw means: for multiple related commands use `ctx_batch_execute`; for single large-output work use `ctx_execute`; for file analysis use `ctx_execute_file`; for lookup use `ctx_search`.\n\nIf you want to **run a chain workflow**, tell me:\n- The goal/task\n- Whether you want it foreground or background\n- Which team/workflow (e.g., `implementation`, `research`, `review`, `plan-execute`)\n\nIf you meant **context-mode chaining**, just describe the data/task and I’ll pick the right tool.\n\nWhat are you trying to accomplish?"}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":21337,"output":474,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":21811,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1784831463601,"responseId":"chatcmpl-626","responseModel":"kimi-k2.7-code"}}
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