systemprompt-models 0.53.0

Foundation data models for systemprompt.io AI governance infrastructure. Shared DTOs, config, and domain types consumed by every layer of the MCP governance pipeline.
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//! Failures raised while reading a buffered upstream body.
//!
//! The per-wire buffered parsers are lenient about *missing optional fields*
//! and strict about the body's overall shape: a reply whose top-level
//! deserialization fails is an upstream failure, never an empty success, so it
//! reaches the client as an error and the audit row as a failed request.
//!
//! Copyright (c) systemprompt.io — Business Source License 1.1.
//! See <https://systemprompt.io> for licensing details.

use thiserror::Error;

/// Failure to read a buffered upstream body into a canonical response.
///
/// Each variant names the wire dialect whose contract the body broke, so the
/// relayed message identifies the adapter without the caller adding context.
#[derive(Debug, Error)]
pub enum WireParseError {
    #[error("Malformed Anthropic response body: {0}")]
    Anthropic(serde_json::Error),
    #[error("Malformed Gemini response body: {0}")]
    Gemini(serde_json::Error),
    #[error("Malformed OpenAI chat completion body: {0}")]
    OpenAiChat(serde_json::Error),
    #[error("Malformed OpenAI responses body: {0}")]
    OpenAiResponses(serde_json::Error),
    // Why: the Responses API rejects a replayed function call whose id is
    // missing, so a call that arrives without `call_id` and `id` cannot be
    // represented as a canonical tool use.
    #[error("OpenAI responses body: function_call `{name}` carries neither call_id nor id")]
    OpenAiResponsesMissingToolCallId { name: String },
}