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
90 lines
2.4 KiB
Rust
90 lines
2.4 KiB
Rust
//! Tool definition: schema, parameters, and OpenAI-compatible tool objects.
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use serde::{Deserialize, Serialize};
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/// A JSON Schema parameter definition for a tool argument.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ToolParam {
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pub name: String,
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#[serde(rename = "type")]
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pub param_type: String,
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pub description: Option<String>,
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pub required: bool,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub properties: Option<std::collections::HashMap<String, ToolParam>>,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub items: Option<Box<ToolParam>>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ToolSchema {
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#[serde(rename = "type", default)]
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pub schema_type: String,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub properties: Option<std::collections::HashMap<String, ToolParam>>,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub required: Option<Vec<String>>,
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}
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impl Default for ToolSchema {
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fn default() -> Self {
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Self {
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schema_type: "object".to_string(),
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properties: None,
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required: None,
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}
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}
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}
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/// A tool definition with schema and metadata.
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#[derive(Debug, Clone)]
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pub struct ToolDefinition {
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pub name: String,
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pub description: Option<String>,
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pub parameters: Option<ToolSchema>,
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pub strict: bool,
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}
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impl ToolDefinition {
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pub fn new(name: impl Into<String>) -> Self {
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Self {
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name: name.into(),
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description: None,
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parameters: None,
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strict: false,
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}
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}
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pub fn description(mut self, description: impl Into<String>) -> Self {
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self.description = Some(description.into());
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self
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}
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pub fn parameters(mut self, schema: ToolSchema) -> Self {
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self.parameters = Some(schema);
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self
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}
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pub fn strict(mut self) -> Self {
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self.strict = true;
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self
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}
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pub fn to_openai_tool(&self) -> serde_json::Value {
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let parameters = self
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.parameters
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.as_ref()
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.map(|s| serde_json::to_value(s).unwrap_or(serde_json::Value::Null));
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serde_json::json!({
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"type": "function",
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"function": {
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"name": self.name,
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"description": self.description,
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"parameters": parameters.unwrap_or(serde_json::json!({})),
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"strict": self.strict,
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}
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})
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}
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}
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