Directories
¶
| Path | Synopsis |
|---|---|
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infra
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Package models provides utilities for working with LLM models.
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Package models provides utilities for working with LLM models. |
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directexec
Package directexec owns the UI side of user-typed direct-execution commands: `!command` (bash) and `!!Tool(...)` (tool).
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Package directexec owns the UI side of user-typed direct-execution commands: `!command` (bash) and `!!Tool(...)` (tool). |
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heartbeat
Package heartbeat implements a periodic "wake-up" service that spawns the agent on a fixed interval to check for pending work.
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Package heartbeat implements a periodic "wake-up" service that spawns the agent on a fixed interval to check for pending work. |
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scheduler
Package scheduler provides cron-driven background execution of agent prompts on behalf of the Schedule tool.
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Package scheduler provides cron-driven background execution of agent prompts on behalf of the Schedule tool. |
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skills
Package skills implements discovery of Agent Skills.
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Package skills implements discovery of Agent Skills. |
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toolcoordinator
Package toolcoordinator owns the UI side of the tool round-trip — the streaming-status events emitted while the model is producing a tool call, the approval handshake that forwards the user's accept/reject back to the agent, and the execution-progress events while the tool runs.
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Package toolcoordinator owns the UI side of the tool round-trip — the streaming-status events emitted while the model is producing a tool call, the approval handshake that forwards the user's accept/reject back to the agent, and the execution-progress events while the tool runs. |
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Package streamevent emits diagnostic JSON-line events on stdout so observers (the inference-gateway/infer-action runner, log scrapers, human eyeballs in CI) can see internal agent lifecycle moments that are otherwise silent - system reminder injections, conversation compaction triggers, and similar checkpoints.
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Package streamevent emits diagnostic JSON-line events on stdout so observers (the inference-gateway/infer-action runner, log scrapers, human eyeballs in CI) can see internal agent lifecycle moments that are otherwise silent - system reminder injections, conversation compaction triggers, and similar checkpoints. |
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