diff --git a/core/http/endpoints/openai/chat_stream_workers.go b/core/http/endpoints/openai/chat_stream_workers.go
index 6fae825f8..c871ae59a 100644
--- a/core/http/endpoints/openai/chat_stream_workers.go
+++ b/core/http/endpoints/openai/chat_stream_workers.go
@@ -12,6 +12,77 @@ import (
 	"github.com/mudler/xlog"
 )
 
+// emitJSONToolCallDeltas iterates the JSON tool-call objects produced by the
+// streaming tool-call detector and emits SSE chunks for the ones the caller
+// hasn't already emitted. It returns the new lastEmittedCount.
+//
+// Semantics:
+//   - Skips entries before lastEmittedCount (already emitted).
+//   - Emits one tool_call chunk per consecutive entry that has a usable
+//     `name` string.
+//   - Stops at the first entry without a name (typically the partial-JSON
+//     tail or a healing-marker stub — see issue #9988) so the caller doesn't
+//     advance past it. Bumping lastEmittedCount past an unparsed stub
+//     permanently gates off content emission for the rest of the stream.
+//   - When jsonResults is empty (the autoparser-working case, where the raw
+//     text result is cleared and only ChatDeltas carry tool calls), this is
+//     a no-op and lastEmittedCount is returned unchanged.
+//
+// The autoparser-correctly-classifying-tool-calls path is unaffected: it
+// delivers tool calls via TokenUsage.ChatDeltas, and the deferred
+// end-of-stream block (ToolCallsFromChatDeltas → buildDeferredToolCallChunks)
+// emits them; this helper sees an empty jsonResults and emits nothing.
+func emitJSONToolCallDeltas(
+	jsonResults []map[string]any,
+	lastEmittedCount int,
+	id, model string,
+	created int,
+	responses chan<- schema.OpenAIResponse,
+) int {
+	for i := lastEmittedCount; i < len(jsonResults); i++ {
+		jsonObj := jsonResults[i]
+		name, ok := jsonObj["name"].(string)
+		if !ok || name == "" {
+			break
+		}
+		args := "{}"
+		if argsVal, ok := jsonObj["arguments"]; ok {
+			if argsStr, ok := argsVal.(string); ok {
+				args = argsStr
+			} else {
+				argsBytes, _ := json.Marshal(argsVal)
+				args = string(argsBytes)
+			}
+		}
+		responses <- schema.OpenAIResponse{
+			ID:      id,
+			Created: created,
+			Model:   model,
+			Choices: []schema.Choice{{
+				Delta: &schema.Message{
+					Role: "assistant",
+					ToolCalls: []schema.ToolCall{
+						{
+							Index: i,
+							ID:    id,
+							Type:  "function",
+							FunctionCall: schema.FunctionCall{
+								Name:      name,
+								Arguments: args,
+							},
+						},
+					},
+				},
+				Index:        0,
+				FinishReason: nil,
+			}},
+			Object: "chat.completion.chunk",
+		}
+		lastEmittedCount = i + 1
+	}
+	return lastEmittedCount
+}
+
 // processStream is the streaming worker for chat completions with no
 // tool/function calling involved. It pushes SSE-shaped chunks onto
 // `responses` and returns the authoritative cumulative TokenUsage from
@@ -279,49 +350,10 @@ func processStreamWithTools(
 			// Try JSON tool call parsing for streaming.
 			// Only emit NEW tool calls (same guard as XML parser above).
 			jsonResults, jsonErr := functions.ParseJSONIterative(cleanedResult, true)
-			if jsonErr == nil && len(jsonResults) > lastEmittedCount {
-				for i := lastEmittedCount; i < len(jsonResults); i++ {
-					jsonObj := jsonResults[i]
-					name, ok := jsonObj["name"].(string)
-					if !ok || name == "" {
-						continue
-					}
-					args := "{}"
-					if argsVal, ok := jsonObj["arguments"]; ok {
-						if argsStr, ok := argsVal.(string); ok {
-							args = argsStr
-						} else {
-							argsBytes, _ := json.Marshal(argsVal)
-							args = string(argsBytes)
-						}
-					}
-					initialMessage := schema.OpenAIResponse{
-						ID:      id,
-						Created: created,
-						Model:   req.Model,
-						Choices: []schema.Choice{{
-							Delta: &schema.Message{
-								Role: "assistant",
-								ToolCalls: []schema.ToolCall{
-									{
-										Index: i,
-										ID:    id,
-										Type:  "function",
-										FunctionCall: schema.FunctionCall{
-											Name:      name,
-											Arguments: args,
-										},
-									},
-								},
-							},
-							Index:        0,
-							FinishReason: nil,
-						}},
-						Object: "chat.completion.chunk",
-					}
-					responses <- initialMessage
-				}
-				lastEmittedCount = len(jsonResults)
+			if jsonErr == nil {
+				lastEmittedCount = emitJSONToolCallDeltas(
+					jsonResults, lastEmittedCount, id, req.Model, created, responses,
+				)
 			}
 		}
 		return true
diff --git a/core/http/endpoints/openai/chat_stream_workers_test.go b/core/http/endpoints/openai/chat_stream_workers_test.go
new file mode 100644
index 000000000..3f5340151
--- /dev/null
+++ b/core/http/endpoints/openai/chat_stream_workers_test.go
@@ -0,0 +1,197 @@
+package openai
+
+import (
+	"github.com/mudler/LocalAI/core/schema"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+// drainChannel reads everything currently buffered on a channel without
+// blocking on close. The helper test channels are sized for the assertions.
+func drainChannel(ch <-chan schema.OpenAIResponse) []schema.OpenAIResponse {
+	var out []schema.OpenAIResponse
+	for {
+		select {
+		case r, ok := <-ch:
+			if !ok {
+				return out
+			}
+			out = append(out, r)
+		default:
+			return out
+		}
+	}
+}
+
+// nameOf returns the name of the first tool call carried on the choice's
+// delta, or "" if none.
+func nameOf(r schema.OpenAIResponse) string {
+	if len(r.Choices) == 0 || r.Choices[0].Delta == nil {
+		return ""
+	}
+	if len(r.Choices[0].Delta.ToolCalls) == 0 {
+		return ""
+	}
+	return r.Choices[0].Delta.ToolCalls[0].FunctionCall.Name
+}
+
+var _ = Describe("emitJSONToolCallDeltas", func() {
+	const (
+		id      = "test-stream"
+		model   = "test-model"
+		created = 1700000000
+	)
+
+	// The case that motivated this helper. With the previous version of
+	// the streaming worker, ParseJSONIterative would hand back a stub
+	// object like `{"4310046988783340008":1}` after the model had only
+	// emitted `{`. The worker bumped lastEmittedCount unconditionally,
+	// which permanently gated off content emission for the rest of the
+	// stream (qwen3-4b with stream:true + tools dribbled only `{"` to
+	// the client and then nothing). See issue #9988.
+	Context("partial stub without a usable name", func() {
+		It("does NOT bump lastEmittedCount and emits nothing", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			// What ParseJSONIterative used to return for `{`:
+			stubResults := []map[string]any{
+				{"4310046988783340008": float64(1)},
+			}
+
+			next := emitJSONToolCallDeltas(stubResults, 0, id, model, created, responses)
+
+			Expect(next).To(Equal(0),
+				"lastEmittedCount must NOT advance past a stub without a name "+
+					"— otherwise content emission gets permanently gated off")
+			Expect(drainChannel(responses)).To(BeEmpty(),
+				"no tool_call chunk should be emitted for a stub without a name")
+		})
+	})
+
+	// No-regression #1: the autoparser-correctly-working path. When the
+	// C++ autoparser classifies tool calls itself, the raw text result is
+	// cleared and ParseJSONIterative on it returns no results — this
+	// helper must be a no-op so the deferred end-of-stream code can emit
+	// the tool calls from TokenUsage.ChatDeltas.
+	Context("empty jsonResults (autoparser-correctly-working path)", func() {
+		It("is a no-op and leaves lastEmittedCount unchanged", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			next := emitJSONToolCallDeltas(nil, 0, id, model, created, responses)
+			Expect(next).To(Equal(0))
+			Expect(drainChannel(responses)).To(BeEmpty())
+		})
+
+		It("leaves a non-zero lastEmittedCount unchanged when later called with the same length", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			results := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "hi"}},
+			}
+			// First call emits the one available tool call.
+			next := emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+			Expect(next).To(Equal(1))
+			Expect(drainChannel(responses)).To(HaveLen(1))
+
+			// Subsequent chunks haven't grown the slice — must be a no-op.
+			next = emitJSONToolCallDeltas(results, next, id, model, created, responses)
+			Expect(next).To(Equal(1))
+			Expect(drainChannel(responses)).To(BeEmpty())
+		})
+	})
+
+	// No-regression #2: the normal completed-JSON path. When the model
+	// emits a real, complete tool call as JSON in raw content (e.g. qwen3
+	// without jinja but with tools), we should emit exactly one tool_call
+	// SSE chunk on the first call and become a no-op on later calls.
+	Context("single complete tool call", func() {
+		It("emits one tool_call chunk and bumps lastEmittedCount to 1", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			results := []map[string]any{
+				{
+					"name": "search",
+					"arguments": map[string]any{
+						"q": "hello",
+					},
+				},
+			}
+
+			next := emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+
+			Expect(next).To(Equal(1))
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(nameOf(out[0])).To(Equal("search"))
+			Expect(out[0].Choices[0].Delta.ToolCalls[0].FunctionCall.Arguments).
+				To(ContainSubstring(`"q":"hello"`))
+		})
+
+		It("accepts arguments already serialized as a string", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			results := []map[string]any{
+				{
+					"name":      "search",
+					"arguments": `{"q":"hello"}`,
+				},
+			}
+
+			emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(out[0].Choices[0].Delta.ToolCalls[0].FunctionCall.Arguments).
+				To(Equal(`{"q":"hello"}`))
+		})
+	})
+
+	// No-regression #3: multiple tool calls (parallel tool calling).
+	// Both must be emitted, lastEmittedCount must end at 2.
+	Context("multiple complete tool calls", func() {
+		It("emits one chunk per tool call and bumps lastEmittedCount to len(results)", func() {
+			responses := make(chan schema.OpenAIResponse, 8)
+			results := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "a"}},
+				{"name": "browse", "arguments": map[string]any{"url": "b"}},
+			}
+
+			next := emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+
+			Expect(next).To(Equal(2))
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(2))
+			Expect(nameOf(out[0])).To(Equal("search"))
+			Expect(nameOf(out[1])).To(Equal("browse"))
+		})
+	})
+
+	// The streaming-tail case: incremental chunks. First parse returns
+	// one complete tool call followed by a partial stub; later chunks
+	// complete the second tool call. We must emit the first immediately
+	// and the second on the later call — without ever bumping past the
+	// stub mid-stream.
+	Context("partial tail behind a real tool call", func() {
+		It("emits the complete entry, stops at the stub, and resumes once the tail completes", func() {
+			responses := make(chan schema.OpenAIResponse, 8)
+
+			// Chunk 1: one real call + a partial stub for the next.
+			chunk1 := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "a"}},
+				{"4310046988783340008": float64(1)},
+			}
+			next := emitJSONToolCallDeltas(chunk1, 0, id, model, created, responses)
+			Expect(next).To(Equal(1),
+				"must NOT advance to 2 — the stub at index 1 has no usable name")
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(nameOf(out[0])).To(Equal("search"))
+
+			// Chunk 2: the stub completes into a real call.
+			chunk2 := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "a"}},
+				{"name": "browse", "arguments": map[string]any{"url": "b"}},
+			}
+			next = emitJSONToolCallDeltas(chunk2, next, id, model, created, responses)
+			Expect(next).To(Equal(2))
+			out = drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(nameOf(out[0])).To(Equal("browse"))
+		})
+	})
+})
diff --git a/pkg/functions/iterative_parser.go b/pkg/functions/iterative_parser.go
index 20705560e..cfcf46812 100644
--- a/pkg/functions/iterative_parser.go
+++ b/pkg/functions/iterative_parser.go
@@ -577,6 +577,21 @@ func trimPotentialPartialWord(content string, format *XMLToolCallFormat, startTh
 func removeHealingMarkerFromJSON(value map[string]any, marker string) map[string]any {
 	result := make(map[string]any)
 	for k, v := range value {
+		// Strip the healing marker from KEYS. parseJSONWithStack appends the
+		// marker to close a partial key (e.g. `{ "code` heals into
+		// `{"code<marker>":1}`); we want to preserve the prefix the model
+		// actually emitted. If the entire key was the marker (i.e. the input
+		// was just `{` heals into `{"<marker>":1}`), the truncated key is
+		// empty — drop the entry. Without this, downstream callers see a
+		// stub object with a random integer-looking key and treat it as a
+		// complete result, the shape that trips chat_stream_workers.go's
+		// streaming tool-call detector in issue #9988.
+		if idx := strings.Index(k, marker); idx != -1 {
+			k = k[:idx]
+			if k == "" {
+				continue
+			}
+		}
 		if str, ok := v.(string); ok {
 			if idx := strings.Index(str, marker); idx != -1 {
 				v = str[:idx]
diff --git a/pkg/functions/parse.go b/pkg/functions/parse.go
index b4be65773..9f6fe6b5e 100644
--- a/pkg/functions/parse.go
+++ b/pkg/functions/parse.go
@@ -325,7 +325,17 @@ func ParseJSONIterative(s string, isPartial bool) ([]map[string]any, error) {
 		if jsonValue != nil {
 			// Convert to map[string]any if it's an object, or handle arrays
 			if obj, ok := jsonValue.(map[string]any); ok {
-				results = append(results, obj)
+				// Skip stub objects that healed away to nothing. Partial inputs
+				// like `{`, `{"`, or `{"n` go through parseJSONWithStack and
+				// come back as `{"<marker>":1}`; after removeHealingMarkerFromJSON
+				// drops the marker key the map is empty. Returning it as a
+				// real result trips the streaming tool-call detector
+				// (chat_stream_workers.go) into thinking a tool call landed,
+				// gating off content emission for the rest of the stream
+				// (issue #9988).
+				if !(isPartialJSON && len(obj) == 0) {
+					results = append(results, obj)
+				}
 			} else if arr, ok := jsonValue.([]any); ok {
 				// Handle arrays: extract objects from array
 				for _, item := range arr {
diff --git a/pkg/functions/parse_test.go b/pkg/functions/parse_test.go
index 89c883f78..f5fba3010 100644
--- a/pkg/functions/parse_test.go
+++ b/pkg/functions/parse_test.go
@@ -1782,6 +1782,101 @@ value
 				// Results may be empty or contain partial data
 				Expect(len(results)).To(BeNumerically(">=", 0))
 			})
+
+			// Regression: https://github.com/mudler/LocalAI/issues/9988.
+			// The streaming tool-call detector calls ParseJSONIterative on each
+			// new content chunk. If the parser returns a stub object whose only
+			// key is the synthetic healing marker, the caller treats it as
+			// "tool call detected" and gates content emission — qwen3 with
+			// streaming + tools used to leak only the first two characters of
+			// the JSON ("{\"") to clients as a result.
+			// Regression: https://github.com/mudler/LocalAI/issues/9988.
+			// parseJSONWithStack inserts a random-integer healing marker into
+			// keys (and sometimes values) to make a partial input parseable.
+			// Those marker characters must never reach the caller — keys made
+			// entirely of the marker must be dropped, and a marker suffix on a
+			// partial key must be stripped down to the prefix the model
+			// actually typed. Without this the streaming worker sees garbage
+			// keys like `"4310046988783340008"` and mistakes the stub for a
+			// completed tool call, then gates off content emission.
+			DescribeTable("partial JSON starts must not surface healing markers in keys",
+				func(input string) {
+					parser := NewChatMsgParser(input, true)
+					marker := parser.HealingMarker()
+					results, err := ParseJSONIterative(input, true)
+					if err != nil {
+						return
+					}
+					for _, obj := range results {
+						for k := range obj {
+							Expect(k).NotTo(ContainSubstring(marker),
+								"healing marker leaked into key %q for input=%q (full=%+v)", k, input, obj)
+							Expect(k).NotTo(MatchRegexp(`^[A-Za-z]?\d{6,}$`),
+								"key %q looks like a synthetic numeric marker for input=%q (full=%+v)",
+								k, input, obj)
+						}
+					}
+				},
+				Entry("just an opening brace", `{`),
+				Entry("brace + quote", `{"`),
+				Entry("brace + partial key", `{"n`),
+				Entry("brace + quoted partial key", `{"na`),
+				Entry("brace + complete key, no value yet", `{"name"`),
+				Entry("brace + key + colon", `{"name":`),
+				Entry("brace + key + opening quote of value", `{"name":"`),
+				Entry("brace + partial value", `{"name":"ans`),
+			)
+
+			DescribeTable("partial JSON that has not yet committed a tool name must not surface a stub object",
+				// The streaming tool-call detector treats every entry returned
+				// by ParseJSONIterative as a potential new tool call. For very
+				// early partial inputs like `{` or `{"` there is nothing the
+				// caller can act on yet — returning a stub object bumps
+				// lastEmittedCount and gates off content emission.
+				// (Partial-key results like `{"n` → `{"n": 1}` are OK at the
+				// parser level — the streaming caller filters them by
+				// requiring a usable `name` field. See the streaming
+				// defense in chat_stream_workers.go.)
+				func(input string) {
+					results, err := ParseJSONIterative(input, true)
+					if err != nil {
+						return
+					}
+					Expect(results).To(BeEmpty(),
+						"ParseJSONIterative(%q) should return no results — the partial input has no anchor", input)
+				},
+				Entry("just an opening brace", `{`),
+				Entry("brace + quote", `{"`),
+			)
+
+			It("returns a clean tool call once the JSON has a real name (issue #9988)", func() {
+				results, err := ParseJSONIterative(`{"name":"answer","arguments":{"message":"Hi"}}`, true)
+				Expect(err).NotTo(HaveOccurred())
+				Expect(results).To(HaveLen(1))
+				Expect(results[0]).To(HaveKeyWithValue("name", "answer"))
+				for k := range results[0] {
+					Expect(k).NotTo(MatchRegexp(`^[A-Za-z]?\d{6,}$`),
+						"healing marker leaked as key %q", k)
+				}
+			})
+
+			It("strips healing-marker keys even when a real name is present (issue #9988)", func() {
+				// `{"name":"answer"` with no closing brace healed into a stub
+				// with both `name:"answer"` AND a marker-only key. The marker
+				// key must not surface.
+				parser := NewChatMsgParser(`{"name":"answer"`, true)
+				parser.SetHealingMarker("$marker$")
+				jsonValue, isPartial, _, err := parser.TryConsumeJSON()
+				Expect(err).NotTo(HaveOccurred())
+				Expect(isPartial).To(BeTrue())
+				obj, ok := jsonValue.(map[string]any)
+				Expect(ok).To(BeTrue())
+				Expect(obj).To(HaveKeyWithValue("name", "answer"))
+				for k := range obj {
+					Expect(k).NotTo(ContainSubstring("$marker$"),
+						"healing marker leaked into key %q", k)
+				}
+			})
 		})
 
 		Describe("Comprehensive JSON partial parsing tests (matching llama.cpp)", func() {