fix(anthropic): merge parallel tool results, ordinal stream tool indices, array system content, strict stream decode

Review round 1 fixes (1 Critical + 5 Important) on the anthropic
adapter/translator.

- CRITICAL: consecutive role:"tool" messages each became their own
  Anthropic user turn. Anthropic requires alternating user/assistant
  turns and 400s on two consecutive same-role messages; parallel tool
  calls (one assistant message with N tool_calls followed by N
  role:"tool" messages) are the standard agentic transcript shape.
  anthropicRequestFromOpenAI now accumulates consecutive tool messages
  into one Anthropic user turn carrying all of their tool_result
  blocks (anthropicToolResultBlock replaces anthropicToolResultMessage).
  Added chat_parallel_tool_results fixture.
- Streaming tool_calls[].index passed Anthropic's raw content-block
  index through, so a tool_use block after a text block emitted
  index:1 instead of the required contiguous 0-based ordinal.
  anthropicStreamState now tracks a per-stream tool-call ordinal
  counter plus a content-block-index -> ordinal map, populated on
  content_block_start and consulted on input_json_delta. Added the
  stream_text_then_tool fixture (text block at index 0, tool_use at
  index 1) proving the emitted index is 0.
- A system message with array-form content ([{"type":"text",...}])
  was silently dropped (only a string content was handled). Added
  systemTextFromContentParts: text parts join with "\n"; a non-text
  part returns a *translateError instead of being dropped. Added
  chat_system_array_content (success) and
  chat_system_array_content_error fixtures.
- Malformed JSON on a recognized stream event (message_start,
  content_block_start, content_block_delta, message_delta) was
  swallowed as (nil, nil), which could silently corrupt a client's
  reassembled tool-call arguments. All four now return an error
  wrapping errUpstream; forwardStream already propagates that and
  withholds the terminal [DONE]. The unrecognized-event-type and
  error-event branches are unchanged. Added
  TestAnthropicStreamState_MalformedEventReturnsError.
- providerAdapter.injectAuth's doc comment claimed a universal
  empty-key no-op; updated to state the per-type divergence
  (openai-type: keyless is a no-op; anthropic-type: the constructor
  rejects an empty key, so injectAuth is never called with one).
- Added case-insensitive-Content-Type coverage for both adapters'
  streaming-vs-JSON gate (previously untested): one subtest each in
  provider_openai_test.go / provider_anthropic_test.go using a fake
  upstream that sends "Text/Event-Stream; charset=utf-8", asserting
  the streaming path (not the JSON fallback) is taken.

Gate: go test ./... -count=1 and -race both green; gofmt, go vet,
fieldalignment, golangci-lint (incl. gosec), govulncheck all clean.

provider_anthropic_test.go

@@ -181,6 +181,52 @@ func TestAnthropicAdapter_ChatCompletion_Streaming(t *testing.T) {
 	}
 }
 
+// TestAnthropicAdapter_ChatCompletion_Streaming_CaseInsensitiveContentType
+// proves the streaming-vs-JSON-fallback gate matches an upstream's
+// Content-Type case-insensitively — review fix, mirroring the same fix
+// in the openai-type adapter. Distinguishing evidence: the streaming path
+// extracts real usage from the SSE events and sets Content-Type to the
+// sseWriter's own lowercase "text/event-stream"; the JSON fallback path
+// would copy the upstream's mixed-case header verbatim and fail to
+// decode a body of raw SSE text as a single Anthropic response.
+func TestAnthropicAdapter_ChatCompletion_Streaming_CaseInsensitiveContentType(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.Header().Set("Content-Type", "Text/Event-Stream; charset=utf-8")
+		w.WriteHeader(http.StatusOK)
+		f, ok := w.(http.Flusher)
+		if !ok {
+			t.Fatalf("httptest ResponseWriter does not implement http.Flusher")
+		}
+		for _, frame := range anthropicStreamFrames {
+			fmt.Fprintf(w, "event: %s\ndata: %s\n\n", frame.event, frame.data)
+			f.Flush()
+		}
+	}))
+	defer srv.Close()
+
+	a, err := newAnthropicAdapter("p1", srv.URL, "sk-ant-test")
+	if err != nil {
+		t.Fatalf("newAnthropicAdapter: %v", err)
+	}
+	rec := newRecordingResponseWriter()
+
+	req := map[string]any{
+		"model":    "claude-opus-5",
+		"stream":   true,
+		"messages": []any{map[string]any{"role": "user", "content": "hello"}},
+	}
+	u, err := a.chatCompletion(context.Background(), rec, req)
+	if err != nil {
+		t.Fatalf("chatCompletion: %v", err)
+	}
+	if u.prompt != 6 || u.completion != 3 {
+		t.Errorf("usage = %+v, want {prompt:6 completion:3} (proves the streaming path, not JSON fallback, was taken)", u)
+	}
+	if got := rec.header.Get("Content-Type"); got != "text/event-stream" {
+		t.Errorf("Content-Type on client response = %q, want %q (sseWriter's own header; JSON fallback would copy the upstream's mixed-case value verbatim)", got, "text/event-stream")
+	}
+}
+
 // TestAnthropicAdapter_ChatCompletion_Upstream429 proves a non-2xx
 // upstream response returns a *providerHTTPError with nothing written to
 // the client, mirroring the openai-type adapter's contract.

provider_openai_test.go

@@ -364,6 +364,49 @@ func TestOpenAIAdapter_ChatCompletion_Streaming_UpstreamIgnoresStreamFallsBackTo
 	}
 }
 
+// TestOpenAIAdapter_ChatCompletion_Streaming_CaseInsensitiveContentType
+// proves the streaming-vs-JSON-fallback gate matches an upstream's
+// Content-Type case-insensitively — review fix: Content-Type values are
+// case-insensitive per RFC 7231, but the gate previously did a
+// case-sensitive substring match against "text/event-stream" and would
+// wrongly fall back to the JSON path for an upstream that sent, e.g.,
+// "Text/Event-Stream". Distinguishing evidence: the streaming path
+// extracts real usage from the SSE chunks and sets Content-Type to the
+// sseWriter's own lowercase "text/event-stream"; the JSON fallback path
+// would copy the upstream's mixed-case header verbatim and fail to parse
+// usage out of raw SSE text.
+func TestOpenAIAdapter_ChatCompletion_Streaming_CaseInsensitiveContentType(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.Header().Set("Content-Type", "Text/Event-Stream; charset=utf-8")
+		w.WriteHeader(http.StatusOK)
+		f, ok := w.(http.Flusher)
+		if !ok {
+			t.Fatalf("httptest ResponseWriter does not implement http.Flusher")
+		}
+		for _, frame := range streamFrames {
+			fmt.Fprintf(w, "data: %s\n\n", frame)
+			f.Flush()
+		}
+		fmt.Fprint(w, "data: [DONE]\n\n")
+		f.Flush()
+	}))
+	defer srv.Close()
+
+	a := newOpenAIAdapter("p1", srv.URL, "sk-test")
+	rec := newRecordingResponseWriter()
+
+	u, err := a.chatCompletion(context.Background(), rec, map[string]any{"model": "gpt-5", "stream": true})
+	if err != nil {
+		t.Fatalf("chatCompletion: %v", err)
+	}
+	if u.prompt != 7 || u.completion != 9 {
+		t.Errorf("usage = %+v, want {prompt:7 completion:9} (proves the streaming path, not JSON fallback, was taken)", u)
+	}
+	if got := rec.header.Get("Content-Type"); got != "text/event-stream" {
+		t.Errorf("Content-Type on client response = %q, want %q (sseWriter's own header; JSON fallback would copy the upstream's mixed-case value verbatim)", got, "text/event-stream")
+	}
+}
+
 // TestOpenAIAdapter_ChatCompletion_Upstream429 proves a non-2xx upstream
 // response returns a *providerHTTPError carrying the status and body,
 // with nothing written to the client — the caller decides envelope vs

providers.go

@@ -91,8 +91,12 @@ type providerAdapter interface {
 	// trimmed.
 	base() string
 	// injectAuth sets whatever headers r needs to authenticate against the
-	// provider. It is a no-op when the provider's resolved API key is
+	// provider. Behavior is type-specific: an openai-type adapter treats
-	// empty — a keyless upstream is a valid configuration, not an error.
+	// a resolved-empty API key as a valid keyless upstream, so injectAuth
+	// is a no-op in that case. An anthropic-type adapter's constructor
+	// rejects an empty key outright (ruling c), so its injectAuth always
+	// sets auth headers — there is no keyless case for it to be a no-op
+	// over.
 	injectAuth(r *http.Request)
 	// chatCompletion proxies req to the provider's chat completions
 	// endpoint and writes the (possibly streamed) response to w. req has

testdata/anthropic/chat_parallel_tool_results_in.json

@@ -0,0 +1,13 @@
+{
+  "model": "claude-opus-5",
+  "messages": [
+    {"role": "user", "content": "What's the weather in Paris and Tokyo?"},
+    {"role": "assistant", "content": null, "tool_calls": [
+      {"id": "call_1", "type": "function", "function": {"name": "get_weather", "arguments": "{\"location\":\"Paris\"}"}},
+      {"id": "call_2", "type": "function", "function": {"name": "get_weather", "arguments": "{\"location\":\"Tokyo\"}"}}
+    ]},
+    {"role": "tool", "tool_call_id": "call_1", "content": "72F and sunny"},
+    {"role": "tool", "tool_call_id": "call_2", "content": "50F and rainy"}
+  ],
+  "max_tokens": 200
+}

testdata/anthropic/chat_parallel_tool_results_want.json

@@ -0,0 +1,15 @@
+{
+  "model": "claude-opus-5",
+  "messages": [
+    {"role": "user", "content": "What's the weather in Paris and Tokyo?"},
+    {"role": "assistant", "content": [
+      {"type": "tool_use", "id": "call_1", "name": "get_weather", "input": {"location": "Paris"}},
+      {"type": "tool_use", "id": "call_2", "name": "get_weather", "input": {"location": "Tokyo"}}
+    ]},
+    {"role": "user", "content": [
+      {"type": "tool_result", "tool_use_id": "call_1", "content": "72F and sunny"},
+      {"type": "tool_result", "tool_use_id": "call_2", "content": "50F and rainy"}
+    ]}
+  ],
+  "max_tokens": 200
+}

testdata/anthropic/chat_system_array_content_error_in.json

@@ -0,0 +1,11 @@
+{
+  "model": "claude-opus-5",
+  "messages": [
+    {"role": "system", "content": [
+      {"type": "text", "text": "You are a helpful assistant."},
+      {"type": "image_url", "image_url": {"url": "data:image/png;base64,AAAA"}}
+    ]},
+    {"role": "user", "content": "Hi"}
+  ],
+  "max_tokens": 100
+}

testdata/anthropic/chat_system_array_content_error_wanterr.json

@@ -0,0 +1 @@
+{"errContains": "system message content part type \"image_url\" is not supported for anthropic models", "notSupported": false}

testdata/anthropic/chat_system_array_content_in.json

@@ -0,0 +1,11 @@
+{
+  "model": "claude-opus-5",
+  "messages": [
+    {"role": "system", "content": [
+      {"type": "text", "text": "You are a helpful assistant."},
+      {"type": "text", "text": "Always be concise."}
+    ]},
+    {"role": "user", "content": "Hi"}
+  ],
+  "max_tokens": 100
+}

testdata/anthropic/chat_system_array_content_want.json

@@ -0,0 +1,8 @@
+{
+  "model": "claude-opus-5",
+  "system": "You are a helpful assistant.\nAlways be concise.",
+  "messages": [
+    {"role": "user", "content": "Hi"}
+  ],
+  "max_tokens": 100
+}

testdata/anthropic/stream_text_then_tool.sse

@@ -0,0 +1,27 @@
+event: message_start
+data: {"type":"message_start","message":{"id":"msg_01MIX","type":"message","role":"assistant","content":[],"model":"claude-opus-5","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":8,"output_tokens":1}}}
+
+event: content_block_start
+data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+event: content_block_delta
+data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Let me check."}}
+
+event: content_block_stop
+data: {"type":"content_block_stop","index":0}
+
+event: content_block_start
+data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"toolu_MIX1","name":"get_weather","input":{}}}
+
+event: content_block_delta
+data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\"location\":\"Paris\"}"}}
+
+event: content_block_stop
+data: {"type":"content_block_stop","index":1}
+
+event: message_delta
+data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"output_tokens":6}}
+
+event: message_stop
+data: {"type":"message_stop"}
+

testdata/anthropic/stream_text_then_tool_usage.json

@@ -0,0 +1 @@
+{"prompt": 8, "completion": 6}

testdata/anthropic/stream_text_then_tool_want.json

@@ -0,0 +1,7 @@
+[
+  {"id":"chatcmpl-msg_01MIX","object":"chat.completion.chunk","created":1734000000,"model":"gw-anthropic-model","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]},
+  {"id":"chatcmpl-msg_01MIX","object":"chat.completion.chunk","created":1734000000,"model":"gw-anthropic-model","choices":[{"index":0,"delta":{"content":"Let me check."},"finish_reason":null}]},
+  {"id":"chatcmpl-msg_01MIX","object":"chat.completion.chunk","created":1734000000,"model":"gw-anthropic-model","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"toolu_MIX1","type":"function","function":{"name":"get_weather","arguments":""}}]},"finish_reason":null}]},
+  {"id":"chatcmpl-msg_01MIX","object":"chat.completion.chunk","created":1734000000,"model":"gw-anthropic-model","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"location\":\"Paris\"}"}}]},"finish_reason":null}]},
+  {"id":"chatcmpl-msg_01MIX","object":"chat.completion.chunk","created":1734000000,"model":"gw-anthropic-model","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls"}]}
+]

translate_anthropic.go

@@ -218,24 +218,45 @@ func anthropicMessageFromOpenAI(msg map[string]any, role string) (map[string]any
 	return map[string]any{"role": role, "content": blocks}, nil
 }
 
-// anthropicToolResultMessage maps one OpenAI role:"tool" message to an
+// anthropicToolResultBlock maps one OpenAI role:"tool" message to a single
-// Anthropic user message carrying a single tool_result content block, per
+// Anthropic {"type":"tool_result","tool_use_id","content"} content block,
-// the mapping table's "messages[role=tool]" row. content passes through
+// per the mapping table's "messages[role=tool]" row. content passes
-// unchanged — Anthropic's tool_result.content accepts a string, matching
+// through unchanged — Anthropic's tool_result.content accepts a string,
-// the common case, and this translator does not need to further interpret
+// matching the common case, and this translator does not need to further
-// it.
+// interpret it. The caller (anthropicRequestFromOpenAI) accumulates
-func anthropicToolResultMessage(msg map[string]any) map[string]any {
+// consecutive tool messages' blocks into one Anthropic user turn — see
+// its doc comment.
+func anthropicToolResultBlock(msg map[string]any) map[string]any {
 	toolCallID, _ := msg["tool_call_id"].(string)
 	return map[string]any{
-		"role": "user",
+		"type":        "tool_result",
-		"content": []any{map[string]any{
+		"tool_use_id": toolCallID,
-			"type":        "tool_result",
+		"content":     msg["content"],
-			"tool_use_id": toolCallID,
-			"content":     msg["content"],
-		}},
 	}
 }
 
+// systemTextFromContentParts joins an OpenAI system message's array-form
+// content ([{"type":"text","text":...}, ...]) into plain text, joined
+// with "\n". Any part that is not {"type":"text"} has no equivalent in
+// Anthropic's plain-string top-level "system" field, so it is a
+// *translateError rather than being silently dropped.
+func systemTextFromContentParts(parts []any) (string, error) {
+	texts := make([]string, 0, len(parts))
+	for _, part := range parts {
+		pm, ok := part.(map[string]any)
+		if !ok {
+			return "", &translateError{msg: "system message content[] entries must be objects"}
+		}
+		ptype, _ := pm["type"].(string)
+		if ptype != "text" {
+			return "", &translateError{msg: fmt.Sprintf("system message content part type %q is not supported for anthropic models", ptype)}
+		}
+		text, _ := pm["text"].(string)
+		texts = append(texts, text)
+	}
+	return strings.Join(texts, "\n"), nil
+}
+
 // anthropicToolChoiceFromOpenAI maps OpenAI's "tool_choice" to Anthropic's
 // tool_choice object, and reports whether "tools" must be dropped from the
 // request. Per the mapping table, tool_choice:"none" has no valid
@@ -291,7 +312,9 @@ func anthropicToolsFromOpenAI(toolsRaw []any) []any {
 // mapping table. It returns a *translateError — never wrapped — for a
 // field Anthropic has no equivalent for (n>1, logit_bias, logprobs) or a
 // content part this translator cannot map (a non-data-URI image URL, a
-// malformed tool_calls argument string).
+// malformed tool_calls argument string). Consecutive role:"tool" messages
+// are merged into one Anthropic user turn carrying all of their
+// tool_result blocks — see anthropicToolResultBlock's doc comment.
 func anthropicRequestFromOpenAI(req map[string]any) (map[string]any, error) {
 	if v, ok := req["n"]; ok {
 		if n, ok2 := toFloat64(v); ok2 && n > 1 {
@@ -313,6 +336,21 @@ func anthropicRequestFromOpenAI(req map[string]any) (map[string]any, error) {
 	msgsRaw, _ := req["messages"].([]any)
 	var systemParts []string
 	anthMsgs := make([]any, 0, len(msgsRaw))
+	// pendingToolResults accumulates consecutive role:"tool" messages'
+	// blocks. Anthropic requires alternating user/assistant turns and
+	// 400s on two consecutive same-role messages, and parallel tool calls
+	// (one assistant message with N tool_calls, followed by N role:"tool"
+	// messages) are the standard agentic transcript shape — so those N
+	// messages must collapse into one Anthropic user turn carrying N
+	// tool_result blocks, not N separate user turns.
+	var pendingToolResults []any
+	flushPendingToolResults := func() {
+		if len(pendingToolResults) == 0 {
+			return
+		}
+		anthMsgs = append(anthMsgs, map[string]any{"role": "user", "content": pendingToolResults})
+		pendingToolResults = nil
+	}
 	for _, m := range msgsRaw {
 		msg, ok := m.(map[string]any)
 		if !ok {
@@ -320,19 +358,28 @@ func anthropicRequestFromOpenAI(req map[string]any) (map[string]any, error) {
 		}
 		switch role, _ := msg["role"].(string); role {
 		case "system":
-			if s, ok := msg["content"].(string); ok {
+			switch c := msg["content"].(type) {
-				systemParts = append(systemParts, s)
+			case string:
+				systemParts = append(systemParts, c)
+			case []any:
+				text, err := systemTextFromContentParts(c)
+				if err != nil {
+					return nil, err
+				}
+				systemParts = append(systemParts, text)
 			}
 		case "user", "assistant":
+			flushPendingToolResults()
 			am, err := anthropicMessageFromOpenAI(msg, role)
 			if err != nil {
 				return nil, err
 			}
 			anthMsgs = append(anthMsgs, am)
 		case "tool":
-			anthMsgs = append(anthMsgs, anthropicToolResultMessage(msg))
+			pendingToolResults = append(pendingToolResults, anthropicToolResultBlock(msg))
 		}
 	}
+	flushPendingToolResults()
 	if len(systemParts) > 0 {
 		out["system"] = strings.Join(systemParts, "\n\n")
 	}
@@ -519,10 +566,19 @@ func reMarshalToolInput(raw json.RawMessage) (string, error) {
 // running usage total. A caller constructs one per stream and calls
 // translate once per upstream sseEvent, in order.
 type anthropicStreamState struct {
-	id      string
+	// toolOrdinals maps an Anthropic content-block index to the 0-based
-	model   string
+	// ordinal of that tool call among all tool_use blocks seen so far in
-	created int64
+	// this message. OpenAI's tool_calls[].index must be contiguous
-	u       usage
+	// starting at 0 over the tool-call array; Anthropic's content-block
+	// index also counts any preceding non-tool_use blocks (a tool_use
+	// block right after a text block is content-block index 1, but it is
+	// still the first — index 0 — tool call).
+	toolOrdinals    map[int]int
+	id              string
+	model           string
+	u               usage
+	created         int64
+	nextToolOrdinal int
 }
 
 // newAnthropicStreamState returns an anthropicStreamState for one
@@ -530,7 +586,7 @@ type anthropicStreamState struct {
 // created the response timestamp every emitted chunk carries — the
 // adapter fixes both once, before the first upstream event arrives.
 func newAnthropicStreamState(model string, created int64) *anthropicStreamState {
-	return &anthropicStreamState{model: model, created: created}
+	return &anthropicStreamState{model: model, created: created, toolOrdinals: map[int]int{}}
 }
 
 // usage returns the prompt/completion token counts captured so far, from
@@ -636,15 +692,18 @@ type anthropicErrorEventPayload struct {
 //     error — translate's caller must stop reading the stream after this
 //     return, but forwards the returned chunk to the client first.
 //
-// Any other or malformed event is ignored (nil, nil) rather than erroring
+// An unrecognized event type is ignored (nil, nil) — this translator does
-// — an event this translator does not recognize is not necessarily a
+// not treat an event it does not know about as a broken stream. Malformed
-// broken stream.
+// data on a recognized event type is different: it returns an error
+// wrapping errUpstream instead of silently producing nothing, since a
+// dropped input_json_delta (say) would otherwise corrupt the client's
+// reassembled tool-call arguments without either side noticing.
 func (st *anthropicStreamState) translate(ev sseEvent) ([][]byte, error) {
 	switch ev.event {
 	case "message_start":
 		var p anthropicMessageStartPayload
 		if err := json.Unmarshal(ev.data, &p); err != nil {
-			return nil, nil
+			return nil, fmt.Errorf("%w: decode anthropic message_start event: %w", errUpstream, err)
 		}
 		st.id = p.Message.ID
 		st.u.prompt = p.Message.Usage.InputTokens
@@ -653,13 +712,16 @@ func (st *anthropicStreamState) translate(ev sseEvent) ([][]byte, error) {
 	case "content_block_start":
 		var p anthropicContentBlockStartPayload
 		if err := json.Unmarshal(ev.data, &p); err != nil {
-			return nil, nil
+			return nil, fmt.Errorf("%w: decode anthropic content_block_start event: %w", errUpstream, err)
 		}
 		if p.ContentBlock.Type != "tool_use" {
 			return nil, nil
 		}
+		ordinal := st.nextToolOrdinal
+		st.toolOrdinals[p.Index] = ordinal
+		st.nextToolOrdinal++
 		delta := map[string]any{"tool_calls": []any{map[string]any{
-			"index": p.Index,
+			"index": ordinal,
 			"id":    p.ContentBlock.ID,
 			"type":  "function",
 			"function": map[string]any{
@@ -672,14 +734,24 @@ func (st *anthropicStreamState) translate(ev sseEvent) ([][]byte, error) {
 	case "content_block_delta":
 		var p anthropicContentBlockDeltaPayload
 		if err := json.Unmarshal(ev.data, &p); err != nil {
-			return nil, nil
+			return nil, fmt.Errorf("%w: decode anthropic content_block_delta event: %w", errUpstream, err)
 		}
 		switch p.Delta.Type {
 		case "text_delta":
 			return [][]byte{st.chunk(map[string]any{"content": p.Delta.Text}, nil)}, nil
 		case "input_json_delta":
+			ordinal, ok := st.toolOrdinals[p.Index]
+			if !ok {
+				// Defensive: an input_json_delta for a content-block index
+				// this translator never saw a tool_use content_block_start
+				// for. Fall back to the raw content-block index rather than
+				// dropping the fragment — a wrong index is recoverable by
+				// the client's own reassembly; a silently dropped argument
+				// fragment is not.
+				ordinal = p.Index
+			}
 			delta := map[string]any{"tool_calls": []any{map[string]any{
-				"index":    p.Index,
+				"index":    ordinal,
 				"function": map[string]any{"arguments": p.Delta.PartialJSON},
 			}}}
 			return [][]byte{st.chunk(delta, nil)}, nil
@@ -690,7 +762,7 @@ func (st *anthropicStreamState) translate(ev sseEvent) ([][]byte, error) {
 	case "message_delta":
 		var p anthropicMessageDeltaPayload
 		if err := json.Unmarshal(ev.data, &p); err != nil {
-			return nil, nil
+			return nil, fmt.Errorf("%w: decode anthropic message_delta event: %w", errUpstream, err)
 		}
 		st.u.completion = p.Usage.OutputTokens
 		reason := anthropicFinishReason(p.Delta.StopReason)

translate_anthropic_test.go

@@ -270,6 +270,16 @@ func TestAnthropicStreamGolden_ToolUse(t *testing.T) {
 	runStreamGolden(t, "stream_tooluse")
 }
 
+// TestAnthropicStreamGolden_TextThenTool covers a text block followed by
+// a tool_use block (Anthropic content-block index 0 then 1) and proves
+// the emitted tool_calls[0].index is the 0-based tool-call ordinal (0),
+// not the raw Anthropic content-block index (1) — review fix: OpenAI's
+// contract requires tool_calls[].index to be contiguous from 0 over the
+// tool-call array, regardless of how many non-tool_use blocks preceded it.
+func TestAnthropicStreamGolden_TextThenTool(t *testing.T) {
+	runStreamGolden(t, "stream_text_then_tool")
+}
+
 // TestAnthropicStreamState_ErrorEvent proves an "error" SSE event
 // translates to one OpenAI-shaped {"error":{...}} chunk and a non-nil
 // terminal error, per the stream mapping table's error row — built
@@ -307,6 +317,33 @@ func TestAnthropicStreamState_ErrorEvent(t *testing.T) {
 	}
 }
 
+// TestAnthropicStreamState_MalformedEventReturnsError proves a malformed
+// (invalid-JSON) data payload on each recognized event type returns an
+// error wrapping errUpstream, rather than being swallowed as (nil, nil) —
+// review fix: a dropped input_json_delta would otherwise silently corrupt
+// the client's reassembled tool-call arguments. The "error" event type
+// itself already returned an error before this fix and is covered by
+// TestAnthropicStreamState_ErrorEvent, not repeated here.
+func TestAnthropicStreamState_MalformedEventReturnsError(t *testing.T) {
+	const corrupt = `{"type":"message_start","message":{`
+
+	for _, event := range []string{"message_start", "content_block_start", "content_block_delta", "message_delta"} {
+		t.Run(event, func(t *testing.T) {
+			st := newAnthropicStreamState(goldenGatewayModel, goldenCreated)
+			chunks, err := st.translate(sseEvent{event: event, data: []byte(corrupt)})
+			if err == nil {
+				t.Fatalf("translate(%s, corrupt data): want error, got nil (chunks=%v)", event, chunks)
+			}
+			if !errors.Is(err, errUpstream) {
+				t.Errorf("translate(%s, corrupt data): err = %v, want errors.Is(err, errUpstream)", event, err)
+			}
+			if len(chunks) != 0 {
+				t.Errorf("translate(%s, corrupt data): chunks = %v, want none", event, chunks)
+			}
+		})
+	}
+}
+
 // TestAnthropicListModels_404NotSpeciallyHandled proves listModels
 // returns a plain *providerHTTPError on a 404 (an older Anthropic API
 // version that predates the Models endpoint) rather than any special