OpenPay (3 crates, ~13k LOC, 175 tests) op-connect sub-merchant onboarding + KYB + split-payments + payouts + 1099-K op-3ds2 3DS2.3 SCA processor (AReq/ARes/CReq/CRes/RReq/RRes + exemptions) op-tax US/EU/UK/AU/CA/IN tax with Avalara/Stripe/CCH/Vertex/TaxJar adapters Smart Byte (3 crates, ~7k LOC, 57 tests) smart-byte-libp2p libp2p transport (kad/gossipsub/mdns/autonat/relay/dcutr/identify/ping/req_resp) smart-byte-crdt LWW/GCounter/PnCounter/OrSet/LwwMap/RgaList/2P-Set + HLC + vector clock + Automerge/Yjs interop smart-byte-keri-witness KERI key-rotation cycle + witness layer + watchers + recovery + delegation EOC (3 crates, ~8k LOC, 108 tests) eoc-tools function-calling across Anthropic/OpenAI/Google/Mistral/Cohere + parallel exec + sandbox eoc-multimodal vision (CLIP/SigLIP/ColPali) + audio (Whisper/MMS) + video sampling + modality router eoc-spec-decode vanilla + SpS-with-temp + lookahead speculative decoding + EAGLE/Medusa stubs All three workspaces compile cleanly. Forbidden-unsafe, no unwrap outside tests. Co-Authored-By: Claude Opus 4.7 <[email protected]>
62 lines
2 KiB
Rust
62 lines
2 KiB
Rust
//! Mistral function-calling adapter.
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//!
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//! Reference: <https://docs.mistral.ai/capabilities/function_calling/>
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//!
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//! Mistral's wire shape is essentially identical to OpenAI's chat
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//! completions tools schema (an unsurprising consequence of the
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//! OpenAI-compatible API surface most providers now ship). We re-export
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//! the OpenAI translators here so callers can address each vendor with
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//! its proper module name without re-implementing identical code.
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use serde_json::Value;
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use crate::error::ToolResult;
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use crate::schema::ToolSchema;
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use crate::tool::ToolCallRequest;
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/// Translate canonical schema to Mistral tool-definition JSON.
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pub fn to_mistral_tool(schema: &ToolSchema) -> Value {
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crate::openai_schema::to_openai_tool(schema)
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}
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/// Emit the `tools` array for a Mistral chat completions request.
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pub fn tools_array(schemas: &[&ToolSchema]) -> Value {
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crate::openai_schema::tools_array(schemas)
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}
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/// Format a tool result as the `tool` role message Mistral expects.
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pub fn tool_result_message(tool_call_id: &str, name: &str, output: &Value) -> Value {
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crate::openai_schema::tool_result_message(tool_call_id, name, output)
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}
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/// Extract canonical [`ToolCallRequest`]s from a Mistral chat
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/// completions response.
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pub fn parse_tool_calls(response: &Value) -> ToolResult<Vec<ToolCallRequest>> {
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crate::openai_schema::parse_tool_calls(response)
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use serde_json::json;
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#[test]
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fn parses_mistral_style_tool_calls() {
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let resp = json!({
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"choices": [{
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"message": {
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"tool_calls": [{
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"id": "call_m1",
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"function": {
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"name": "lookup",
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"arguments": "{\"id\":42}"
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}
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}]
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}
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}]
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});
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let calls = parse_tool_calls(&resp).unwrap();
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assert_eq!(calls[0].name, "lookup");
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assert_eq!(calls[0].args, json!({"id": 42}));
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}
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}
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