Merge pull request #3851 from fengshao1227/fix/responses-to-anthropic-instructions-and-developer-role

fix(apicompat): ResponsesToAnthropicRequest 补全 instructions 字段并映射 developer role
This commit is contained in:
Wesley Liddick
2026-07-09 16:34:36 +08:00
committed by GitHub
3 changed files with 148 additions and 10 deletions
@@ -0,0 +1,126 @@
package apicompat
import (
"encoding/json"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestResponsesToAnthropicRequest_Instructions(t *testing.T) {
t.Run("instructions_becomes_system", func(t *testing.T) {
req := &ResponsesRequest{
Model: "claude-sonnet-4-20250514",
Instructions: "You are a helpful assistant.",
Input: json.RawMessage(`[{"role":"user","content":"hello"}]`),
}
result, err := ResponsesToAnthropicRequest(req)
require.NoError(t, err)
var system string
require.NoError(t, json.Unmarshal(result.System, &system))
assert.Equal(t, "You are a helpful assistant.", system)
assert.NotEmpty(t, result.Messages)
})
t.Run("empty_instructions_no_system", func(t *testing.T) {
req := &ResponsesRequest{
Model: "claude-sonnet-4-20250514",
Input: json.RawMessage(`[{"role":"user","content":"hello"}]`),
}
result, err := ResponsesToAnthropicRequest(req)
require.NoError(t, err)
assert.Nil(t, result.System)
})
t.Run("instructions_and_system_item_concatenated", func(t *testing.T) {
req := &ResponsesRequest{
Model: "claude-sonnet-4-20250514",
Instructions: "Top-level instruction.",
Input: json.RawMessage(`[
{"role":"system","content":"Input-level system prompt."},
{"role":"user","content":"hello"}
]`),
}
result, err := ResponsesToAnthropicRequest(req)
require.NoError(t, err)
var system string
require.NoError(t, json.Unmarshal(result.System, &system))
assert.Contains(t, system, "Top-level instruction.")
assert.Contains(t, system, "Input-level system prompt.")
})
t.Run("instructions_with_string_input", func(t *testing.T) {
req := &ResponsesRequest{
Model: "claude-sonnet-4-20250514",
Instructions: "Be concise.",
Input: json.RawMessage(`"What is Go?"`),
}
result, err := ResponsesToAnthropicRequest(req)
require.NoError(t, err)
var system string
require.NoError(t, json.Unmarshal(result.System, &system))
assert.Equal(t, "Be concise.", system)
require.Len(t, result.Messages, 1)
assert.Equal(t, "user", result.Messages[0].Role)
})
}
func TestConvertResponsesInputToAnthropic_DeveloperRole(t *testing.T) {
t.Run("developer_becomes_system", func(t *testing.T) {
input := `[
{"role":"developer","content":[{"type":"input_text","text":"You are a code reviewer."}]},
{"role":"user","content":"review this code"}
]`
system, messages, err := convertResponsesInputToAnthropic("", json.RawMessage(input))
require.NoError(t, err)
var systemText string
require.NoError(t, json.Unmarshal(system, &systemText))
assert.Equal(t, "You are a code reviewer.", systemText)
require.Len(t, messages, 1)
assert.Equal(t, "user", messages[0].Role)
})
t.Run("developer_does_not_become_user", func(t *testing.T) {
input := `[
{"role":"developer","content":[{"type":"input_text","text":"System prompt."}]},
{"role":"user","content":"hi"}
]`
_, messages, err := convertResponsesInputToAnthropic("", json.RawMessage(input))
require.NoError(t, err)
for _, m := range messages {
if m.Role == "user" {
var s string
if json.Unmarshal(m.Content, &s) == nil {
assert.NotContains(t, s, "System prompt.")
}
}
}
})
t.Run("instructions_and_developer_concatenated_in_order", func(t *testing.T) {
input := `[
{"role":"developer","content":"Extra context."},
{"role":"user","content":"hello"}
]`
system, _, err := convertResponsesInputToAnthropic("Main instruction.", json.RawMessage(input))
require.NoError(t, err)
var systemText string
require.NoError(t, json.Unmarshal(system, &systemText))
assert.Equal(t, "Main instruction.\n\nExtra context.", systemText)
})
}
@@ -11,7 +11,7 @@ import (
// enables Anthropic platform groups to accept OpenAI Responses API requests
// by converting them to the native /v1/messages format before forwarding upstream.
func ResponsesToAnthropicRequest(req *ResponsesRequest) (*AnthropicRequest, error) {
system, messages, err := convertResponsesInputToAnthropic(req.Input)
system, messages, err := convertResponsesInputToAnthropic(req.Instructions, req.Input)
if err != nil {
return nil, err
}
@@ -98,14 +98,23 @@ func mapResponsesEffortToAnthropic(effort string) string {
}
// convertResponsesInputToAnthropic extracts system prompt and messages from
// a Responses API input array. Returns the system as raw JSON (for Anthropic's
// polymorphic system field) and a list of Anthropic messages.
func convertResponsesInputToAnthropic(inputRaw json.RawMessage) (json.RawMessage, []AnthropicMessage, error) {
// a Responses API instructions + input array. Returns the system as raw JSON
// (for Anthropic's polymorphic system field) and a list of Anthropic messages.
func convertResponsesInputToAnthropic(instructions string, inputRaw json.RawMessage) (json.RawMessage, []AnthropicMessage, error) {
var systemParts []string
if strings.TrimSpace(instructions) != "" {
systemParts = append(systemParts, strings.TrimSpace(instructions))
}
// Try as plain string input.
var inputStr string
if err := json.Unmarshal(inputRaw, &inputStr); err == nil {
content, _ := json.Marshal(inputStr)
return nil, []AnthropicMessage{{Role: "user", Content: content}}, nil
var system json.RawMessage
if len(systemParts) > 0 {
system, _ = json.Marshal(strings.Join(systemParts, "\n\n"))
}
return system, []AnthropicMessage{{Role: "user", Content: content}}, nil
}
var items []ResponsesInputItem
@@ -113,16 +122,14 @@ func convertResponsesInputToAnthropic(inputRaw json.RawMessage) (json.RawMessage
return nil, nil, fmt.Errorf("parse responses input: %w", err)
}
var system json.RawMessage
var messages []AnthropicMessage
for _, item := range items {
switch {
case item.Role == "system":
// System prompt → Anthropic system field
case item.Role == "system" || item.Role == "developer":
text := extractTextFromContent(item.Content)
if text != "" {
system, _ = json.Marshal(text)
systemParts = append(systemParts, text)
}
case item.Type == "function_call":
@@ -201,6 +208,11 @@ func convertResponsesInputToAnthropic(inputRaw json.RawMessage) (json.RawMessage
messages = normalizeAnthropicToolPairing(messages)
messages = mergeConsecutiveMessages(messages)
var system json.RawMessage
if len(systemParts) > 0 {
system, _ = json.Marshal(strings.Join(systemParts, "\n\n"))
}
return system, messages, nil
}
@@ -58,7 +58,7 @@ func hasToolResult(blocks []AnthropicContentBlock, toolUseID string) bool {
func convertAnthropic(t *testing.T, input string) []AnthropicMessage {
t.Helper()
_, messages, err := convertResponsesInputToAnthropic(json.RawMessage(input))
_, messages, err := convertResponsesInputToAnthropic("", json.RawMessage(input))
require.NoError(t, err)
assertAnthropicPairing(t, messages)
return messages