//! Per-vendor round-trip: define a Rust tool type → generate canonical //! [`ToolSchema`] → translate to vendor format → parse a vendor response //! shaped against that tool → execute → result returned. use async_trait::async_trait; use eoc_tools::{ Tool, ToolRegistry, ToolResult, ToolSchema, anthropic_schema, cohere_schema, google_schema, mistral_schema, openai_schema, schema_for, }; use schemars::JsonSchema; use serde::{Deserialize, Serialize}; use serde_json::{Value, json}; #[derive(Serialize, Deserialize, JsonSchema)] struct AddArgs { a: i64, b: i64, } struct AddTool { schema: ToolSchema, } #[async_trait] impl Tool for AddTool { fn schema(&self) -> &ToolSchema { &self.schema } async fn invoke(&self, args: Value) -> ToolResult { let a = args.get("a").and_then(|v| v.as_i64()).unwrap_or(0); let b = args.get("b").and_then(|v| v.as_i64()).unwrap_or(0); Ok(json!({"sum": a + b})) } } fn make_registry() -> ToolRegistry { let schema = schema_for::("add", "Sum two integers."); let mut reg = ToolRegistry::new(); reg.register(AddTool { schema }); reg } #[tokio::test] async fn anthropic_round_trip() { let reg = make_registry(); let schema = reg.schemas()[0]; let vendor_tool = anthropic_schema::to_anthropic_tool(schema); assert_eq!(vendor_tool["name"], "add"); // Synthetic vendor response. let resp = json!({ "content": [ {"type": "text", "text": "let me compute"}, {"type": "tool_use", "id": "toolu_1", "name": "add", "input": {"a": 7, "b": 35}} ] }); let calls = anthropic_schema::parse_tool_calls(&resp).unwrap(); assert_eq!(calls.len(), 1); let out = reg.dispatch(&calls[0].name, calls[0].args.clone()).await.unwrap(); assert_eq!(out, json!({"sum": 42})); } #[tokio::test] async fn openai_round_trip() { let reg = make_registry(); let schema = reg.schemas()[0]; let vendor_tool = openai_schema::to_openai_tool(schema); assert_eq!(vendor_tool["function"]["name"], "add"); let resp = json!({ "choices": [{ "message": { "tool_calls": [{ "id": "call_42", "type": "function", "function": {"name": "add", "arguments": "{\"a\":7,\"b\":35}"} }] } }] }); let calls = openai_schema::parse_tool_calls(&resp).unwrap(); let out = reg.dispatch(&calls[0].name, calls[0].args.clone()).await.unwrap(); assert_eq!(out, json!({"sum": 42})); } #[tokio::test] async fn google_round_trip() { let reg = make_registry(); let schema = reg.schemas()[0]; let vendor_tools = google_schema::tools_array(&[schema]); assert_eq!(vendor_tools[0]["functionDeclarations"][0]["name"], "add"); let resp = json!({ "candidates": [{ "content": { "parts": [ {"functionCall": {"name": "add", "args": {"a": 7, "b": 35}}} ] } }] }); let calls = google_schema::parse_tool_calls(&resp).unwrap(); let out = reg.dispatch(&calls[0].name, calls[0].args.clone()).await.unwrap(); assert_eq!(out, json!({"sum": 42})); } #[tokio::test] async fn mistral_round_trip() { let reg = make_registry(); let schema = reg.schemas()[0]; let vendor_tool = mistral_schema::to_mistral_tool(schema); assert_eq!(vendor_tool["function"]["name"], "add"); let resp = json!({ "choices": [{ "message": { "tool_calls": [{ "id": "call_m", "function": {"name": "add", "arguments": "{\"a\":7,\"b\":35}"} }] } }] }); let calls = mistral_schema::parse_tool_calls(&resp).unwrap(); let out = reg.dispatch(&calls[0].name, calls[0].args.clone()).await.unwrap(); assert_eq!(out, json!({"sum": 42})); } #[tokio::test] async fn cohere_round_trip() { let reg = make_registry(); let schema = reg.schemas()[0]; let vendor_tool = cohere_schema::to_cohere_tool(schema); assert_eq!(vendor_tool["name"], "add"); let resp = json!({ "tool_calls": [ {"name": "add", "parameters": {"a": 7, "b": 35}} ] }); let calls = cohere_schema::parse_tool_calls(&resp).unwrap(); let out = reg.dispatch(&calls[0].name, calls[0].args.clone()).await.unwrap(); assert_eq!(out, json!({"sum": 42})); }