mirror of
https://github.com/farion1231/cc-switch.git
synced 2026-07-24 12:44:18 +08:00
fix(proxy): default Codex tool parameters to object schema (#5315)
Normalize function tool parameters on the Codex Responses -> Chat Completions bridge: default null/missing parameters (direct and nested function forms) to {"type":"object","properties":{}}, coerce explicit type:null, and add a root type for top-level oneOf schemas so strict OpenAI-compatible upstreams (DeepSeek etc.) no longer reject built-in Codex tools like codex_app__automation_update. Also hardens the Codex -> Anthropic tool path with the same object-type guarantee and adds regression coverage for all reported shapes.
This commit is contained in:
Komi
@@ -440,14 +440,17 @@ fn chat_tool_to_anthropic_tool(chat_tool: &Value) -> Option<Value> {
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.and_then(|value| value.as_str())
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.map(str::trim)
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.filter(|value| !value.is_empty())?;
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let mut tool = json!({
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"name": name,
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"input_schema": function
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let mut input_schema = function
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.get("parameters")
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.cloned()
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.filter(|value| value.as_object().is_some_and(|object| !object.is_empty()))
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.unwrap_or_else(|| json!({ "type": "object", "properties": {} }))
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});
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.unwrap_or_else(|| json!({ "type": "object", "properties": {} }));
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if let Some(schema) = input_schema.as_object_mut() {
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if schema.get("type").and_then(Value::as_str) != Some("object") {
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schema.insert("type".to_string(), json!("object"));
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}
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}
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let mut tool = json!({ "name": name, "input_schema": input_schema });
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if let Some(description) = function.get("description").and_then(|value| value.as_str()) {
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tool["description"] = json!(description);
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}
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@@ -1545,6 +1548,44 @@ mod tests {
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assert_eq!(tools[1]["name"], "apply_patch");
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}
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#[test]
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fn test_request_tool_search_output_schema_defaults_root_type_to_object() {
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let input = json!({
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"model": "claude",
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"max_output_tokens": 100,
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"input": [
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{ "role": "user", "content": "hi" },
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{
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"type": "tool_search_output",
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"call_id": "tool_demo123",
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"tools": [{
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"type": "function",
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"name": "demo_union_tool",
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"parameters": {
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"oneOf": [
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{ "type": "object", "properties": { "mode": { "type": "string" } } },
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{ "type": "object", "properties": { "name": { "type": "string" } } }
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]
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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 result = responses_request_to_anthropic(input, 4096).unwrap();
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let input_schema = &result["tools"][0]["input_schema"];
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assert_eq!(input_schema["type"], "object");
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assert_eq!(
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input_schema["oneOf"][0]["properties"]["mode"]["type"],
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"string"
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);
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assert_eq!(
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input_schema["oneOf"][1]["properties"]["name"]["type"],
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"string"
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);
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}
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#[test]
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fn test_request_tool_choice_mapping() {
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// A function tool must be present, else tool_choice is (correctly) dropped.
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@@ -1174,12 +1174,8 @@ fn responses_function_tool_to_chat_tool(tool: &Value, chat_name: &str) -> Option
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.and_then(|value| value.as_object_mut())
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{
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// Ensure parameters.type is "object" for strict OpenAI-compatible providers
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if let Some(params) = obj.get("parameters") {
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let normalized = normalize_function_parameters(Some(params));
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if normalized != *params {
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obj.insert("parameters".to_string(), normalized);
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}
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}
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let parameters = normalize_function_parameters(obj.get("parameters"));
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obj.insert("parameters".to_string(), parameters);
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obj.insert("name".to_string(), json!(chat_name));
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if let Some(strict) = tool.get("strict").cloned() {
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@@ -2054,6 +2050,140 @@ mod tests {
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assert_eq!(result["reasoning_effort"], "high");
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}
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#[test]
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fn responses_request_to_chat_defaults_null_tool_parameters() {
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let input = json!({
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"model": "gpt-5.4",
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"tools": [{
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"type": "function",
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"name": "codex_app__automation_update",
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"description": "Update an automation.",
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"parameters": null
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}],
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"input": "hi"
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});
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let result = responses_to_chat_completions(input).unwrap();
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assert_eq!(
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result["tools"][0]["function"]["parameters"],
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json!({"type": "object", "properties": {}})
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);
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}
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#[test]
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fn responses_request_to_chat_defaults_nested_null_tool_parameters() {
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let input = json!({
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"model": "gpt-5.4",
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"tools": [{
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"type": "function",
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"function": {
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"name": "codex_app__automation_update",
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"description": "Update an automation.",
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"parameters": null
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}
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}],
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"input": "hi"
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});
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let result = responses_to_chat_completions(input).unwrap();
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assert_eq!(
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result["tools"][0]["function"]["parameters"],
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json!({"type": "object", "properties": {}})
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);
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}
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#[test]
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fn responses_request_to_chat_defaults_nested_missing_tool_parameters() {
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let input = json!({
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"model": "gpt-5.4",
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"tools": [{
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"type": "function",
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"function": {
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"name": "codex_app__automation_update",
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"description": "Update an automation."
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}
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}],
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"input": "hi"
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});
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let result = responses_to_chat_completions(input).unwrap();
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assert_eq!(
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result["tools"][0]["function"]["parameters"],
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json!({"type": "object", "properties": {}})
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);
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}
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#[test]
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fn responses_request_to_chat_normalizes_explicit_null_tool_parameter_type() {
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let input = json!({
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"model": "gpt-5.4",
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"tools": [{
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"type": "function",
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"name": "search",
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"parameters": {
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"type": null,
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"properties": {
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"query": {"type": "string"}
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},
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"required": ["query"]
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}
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}],
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"input": "hi"
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});
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let result = responses_to_chat_completions(input).unwrap();
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let parameters = &result["tools"][0]["function"]["parameters"];
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assert_eq!(parameters["type"], "object");
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assert_eq!(parameters["properties"]["query"]["type"], "string");
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assert_eq!(parameters["required"], json!(["query"]));
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}
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#[test]
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fn responses_request_to_chat_defaults_top_level_one_of_tool_parameters_to_object() {
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let input = json!({
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"model": "gpt-5.4",
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"tools": [{
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"type": "function",
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"name": "lookup",
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"parameters": {
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"oneOf": [
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{
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"type": "object",
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"properties": {"id": {"type": "string"}}
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},
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{
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"type": "object",
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"properties": {"slug": {"type": "string"}}
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}
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]
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}
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}],
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"input": "hi"
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});
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let result = responses_to_chat_completions(input).unwrap();
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let parameters = &result["tools"][0]["function"]["parameters"];
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assert_eq!(parameters["type"], "object");
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assert_eq!(
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parameters["oneOf"],
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json!([
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{
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"type": "object",
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"properties": {"id": {"type": "string"}}
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},
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{
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"type": "object",
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"properties": {"slug": {"type": "string"}}
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}
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])
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);
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}
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#[test]
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fn responses_request_to_chat_exposes_tool_search_and_loaded_namespace_tools() {
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let input = json!({
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