10c0cc007b
- Split agent crate into client/, model/, agent/ subdirs - Add billing.rs for token usage recording - Add sync.rs for upstream model sync - EmbedService: Qdrant-backed vector memory for semantic search - ChatService: wire EmbedService for memory lookup, passive skill awareness - ReAct loop: streamline with tokio::select! and proper error handling
32 lines
1.1 KiB
Rust
32 lines
1.1 KiB
Rust
//! Unified function call routing for AI agents.
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//!
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//! Provides a type-safe, request-scoped tool registry and executor.
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//!
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//! # Architecture
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//!
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//! - [`definition`](definition) — Tool schemas: name, description, parameter JSON schema
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//! - [`registry`](registry) — Request-scoped `ToolRegistry` mapping names → handlers
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//! - [`call`](call) — Execution types: `ToolCall`, `ToolResult`, `ToolError`
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//! - [`context`](context) — Execution context passed to each tool handler
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//! - [`executor`](executor) — `ToolExecutor` coordinating lookup → execute → result
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//! - [`rig_adapter`](rig_adapter) — Adapter to bridge with rig's Tool trait
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//! - [`examples`](examples) — `#[tool]` macro usage guide
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pub mod call;
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pub mod context;
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pub mod definition;
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pub mod executor;
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pub mod registry;
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#[cfg(feature = "rig")]
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pub mod rig_adapter;
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#[cfg(test)]
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mod examples;
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pub use call::{ToolCall, ToolCallResult, ToolError, ToolResult};
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pub use context::ToolContext;
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pub use definition::{ToolDefinition, ToolParam, ToolSchema};
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pub use executor::ToolExecutor;
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pub use registry::{ToolHandler, ToolRegistry};
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