feat: universal heuristic engine for gradio version, flavor, protocol and tool calling resolution
This commit is contained in:
@@ -7,7 +7,20 @@ Default demo space: `https://tencent-hy3.hf.space`
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## Features
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- **Zero external dependencies**: pure Go standard library (`net/http`, `encoding/json`, `bufio`, etc.).
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- **Automatic space introspection**: dynamically queries `/gradio_api/info`, `/config`, and Hugging Face space metadata to discover models, endpoints, and input parameter mappings.
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- **Universal heuristic discovery engine**:
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- Automatically interrogates `/gradio_api/info`, `/config`, and Hugging Face metadata without endpoint-specific hardcoding.
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- Detects Gradio runtime versions across v3, v4, v5, and v6.
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- Classifies application architecture into `ChatInterface`, `Blocks (Chat)`, `Blocks (Multimodal Chat)`, `Interface`, and `Generic`.
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- Disambiguation scoring engine evaluates candidate endpoints, filtering out UI resets, clears, retries, likes, and utility triggers to pinpoint primary conversational completion functions.
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- Correlates semantic parameter names from `/gradio_api/info` with component IDs from `/config` to reconstruct parameter mappings even when component labels are obfuscated.
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- **Dual protocol support with auto-fallback**:
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- Supports modern Gradio 4/5/6 `/call` SSE protocol with persistent session hashes.
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- Supports legacy Gradio 3 `/run/predict` and `/api/predict` direct execution protocol.
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- Instant zero-latency fallback from `/call` to `/run/predict` upon HTTP 404 or 405 status codes.
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- **Tool calling support classification**:
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- Automatically identifies tool calling mechanisms: `native_slot`, `prompt_augmented_system`, `prompt_augmented_first_turn`, or `prompt_augmented_single_prompt`.
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- Upstream tool call recovery intercepts `tool_use_failed` errors and extracts function names and JSON arguments.
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- Real-time sliding-window `<tool_call>` tag interceptor emits structured OpenAI tool call chunks.
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- **Native Tencent Hunyuan 3 (`tencent-hy3`) support**:
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- Full native zero-degradation handling for official spaces like `https://tencent-hy3.hf.space`.
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- Maps `functions_json_str` natively without polluting the system prompt.
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@@ -26,17 +39,111 @@ Default demo space: `https://tencent-hy3.hf.space`
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- Detects `<think>...</think>` tags in real time as fallback for standard spaces.
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- Separates reasoning into `delta.reasoning_content` (streaming) and `message.reasoning_content` (non-streaming).
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- Keeps `content` clean without tag leakage.
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- **Full tool calling & function interception**:
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- Formats schemas into native `functions_json_str` (Hy3) or system prompts (standard spaces).
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- Intercepts and recovers tool calls from upstream `tool_use_failed` errors containing `failed_generation`.
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- **`StreamToolCallFilter`**: stateful sliding-window filter that prevents `<tool_call>` tags from leaking into `delta.content`. Emits structured OpenAI `delta.tool_calls` chunks and sets `finish_reason: "tool_calls"`.
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- Seamlessly maintains multi-turn context when tool results are submitted back via `role: "tool"`.
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- **Built-in SOCKS5 proxy client**:
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- Full RFC 1928 / RFC 1929 implementation with domain resolution (`socks5h://`), IPv4, IPv6, and username/password auth.
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- **Dynamic space override**:
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- Switch the target Gradio space on-the-fly per request using the `X-Gradio-Space` or `X-Space-URL` HTTP headers.
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- **Fibonacci retry engine**:
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- Resilient backoff retry mechanism (1s, 1s, 2s, 3s, 5s) for transient network hiccups.
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- Resilient backoff retry mechanism (1s, 1s, 2s, 3s, 5s) for transient network hiccups with immediate break on 404/405 errors.
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## Heuristic discovery engine
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The gateway implements an autonomous heuristic engine that discovers and configures the optimal completion path for any target Gradio space at startup.
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### Space introspection and version detection
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Upon initialization, `gr2gw` inspects the space metadata:
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1. Queries `/gradio_api/info` and `/config` endpoints.
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2. Extracts the Gradio runtime version (v3, v4, v5, or v6).
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3. Detects API routing prefixes (e.g. `/gradio_api` on modern versions, or root on Gradio 3).
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### UI flavor classification
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The engine classifies the application structure into architectural flavors:
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- **`ChatInterface`**: Standard Gradio chat interfaces equipped with chatbot, textbox, and optional additional inputs.
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- **`Blocks (Chat)`**: Custom `gr.Blocks` layouts containing conversational components.
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- **`Blocks (Multimodal Chat)`**: Blocks architectures featuring `MultimodalTextbox` components that accept `{text, files}` JSON payloads.
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- **`Interface`**: Classic input-output `gr.Interface` instances.
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- **`Generic`**: Spaces with custom or unclassified component topologies.
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### Candidate endpoint scoring
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Gradio spaces frequently expose dozens of internal endpoints for UI actions (e.g. clearing text, retrying responses, voting/liking, adjusting sliders). The scoring algorithm identifies the true conversational endpoint by:
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- Penalizing non-conversational triggers (e.g. `-600` for clear/reset/undo/retry/like endpoints).
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- Rewarding chat semantics (`+150` for `/chat`, `/predict`, `/generate`, `/respond`).
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- Rewarding message inputs (`+120` for `Textbox` or `MultimodalTextbox`).
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- Rewarding chat history slots (`+80` for `Chatbot` or `State` components).
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- Rewarding generator and streaming dependencies (`+50`).
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### Dual protocol execution and auto-fallback
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- **`call` protocol**: Modern Gradio 4/5/6 execution via `POST /call/{endpoint}` returning an event ID, followed by `GET /call/{endpoint}/{event_id}` SSE streaming.
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- **`predict` protocol**: Gradio 3 and legacy execution via direct `POST /run/predict` or `POST /api/predict`.
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- **Runtime failover**: If a space returns HTTP 404 or 405 when calling the modern protocol, the gateway breaks immediately from the retry loop and falls back to `/run/predict`.
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### Tool calling support modes
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The gateway evaluates available input components to determine how tool schemas and function calls should be delivered:
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- **`native_slot`**: The space provides a dedicated parameter slot for tool definitions (e.g. `functions_json_str` on Hunyuan 3). Function definitions are passed cleanly without prompt alteration.
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- **`prompt_augmented_system`**: The space provides a separate `system_prompt` input slot. Tool definitions and invocation schemas are injected directly into the system prompt.
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- **`prompt_augmented_first_turn`**: The space accepts chat history pairs but lacks a dedicated system prompt slot. Tool definitions are prepended to the user prompt on the first dialogue turn.
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- **`prompt_augmented_single_prompt`**: The space accepts only a single textbox input. Full multi-turn dialogue, tool definitions, and system guidance are synthesized into a single cohesive prompt.
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### Startup resolution diagnostics
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Whenever the gateway starts or inspects a new space, it prints the complete resolution picture:
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```text
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================================================================================
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Gradio Space Resolution Picture
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--------------------------------------------------------------------------------
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Space URL: https://tencent-hy3.hf.space
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Title: Hunyuan 3 Chat
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Gradio Version: 5.29.0
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UI Flavor: Blocks (Chat)
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Protocol: call
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API Prefix: /gradio_api
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Resolved Endpoint: /chat_fn
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Function Index: 1
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Primary Model: hy3
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Exposed Models: hy3, hunyuan3, tencent/Hy3
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History Format: tuples
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Tool Call Support: native_slot
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Total Input Slots: 9
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Input Slot Mappings:
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[0] Component ID 1 textbox (label="message") -> message
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[1] Component ID 2 textbox (label="system") -> system_prompt
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[2] Component ID 3 chatbot (label="chatbot") -> history
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[3] Component ID 4 radio (label="think_level") -> think_level
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[4] Component ID 5 slider (label="temperature") -> temperature
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[5] Component ID 6 slider (label="max_tokens") -> max_tokens
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[6] Component ID 7 slider (label="top_p") -> top_p
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[7] Component ID 8 state (label="preserved") -> preserved_thinking
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[8] Component ID 9 textbox (label="functions") -> functions_json_str
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================================================================================
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```
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### Gateway status endpoint
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Making a `GET` request to `/` returns a JSON summary of the running gateway and the discovered space profile:
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```bash
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curl http://localhost:8080/
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```
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Response:
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```json
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{
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"name": "gr2gw",
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"status": "ready",
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"space_url": "https://tencent-hy3.hf.space",
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"gradio_version": "5.29.0",
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"flavor": "Blocks (Chat)",
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"protocol": "call",
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"tool_call_mode": "native_slot",
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"models": ["hy3", "hunyuan3", "tencent/Hy3"]
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}
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```
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## Installation
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+281
@@ -1597,4 +1597,285 @@ func TestMultimodalStateSpaceMockServerCompletion(t *testing.T) {
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}
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}
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// TestGradio3DirectPredictProtocol verifies discovery and chat completion against a Gradio 3 space
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// where /gradio_api/info returns 404 and the protocol resolves to /run/predict with tuple pairs history.
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func TestGradio3DirectPredictProtocol(t *testing.T) {
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ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if r.URL.Path == "/gradio_api/info" || r.URL.Path == "/info" {
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http.NotFound(w, r)
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return
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}
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if r.URL.Path == "/config" {
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cfg := GradioConfigResponse{
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Version: "3.41.2",
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Mode: "chat_interface",
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Title: "Legacy Gradio 3 Chat",
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Components: []GradioComponent{
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{ID: 1, Type: "textbox", Props: map[string]interface{}{"label": "Input"}},
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{ID: 2, Type: "chatbot", Props: map[string]interface{}{"label": "Chatbot"}},
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},
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Dependencies: []GradioDependency{
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{
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ID: 0,
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Inputs: []int{1, 2},
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Outputs: []int{2},
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},
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},
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}
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w.Header().Set("Content-Type", "application/json")
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json.NewEncoder(w).Encode(cfg)
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return
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}
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if r.URL.Path == "/run/predict" {
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var body struct {
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Data []interface{} `json:"data"`
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FnIndex int `json:"fn_index"`
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SessionHash string `json:"session_hash"`
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}
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if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
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http.Error(w, err.Error(), http.StatusBadRequest)
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return
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}
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if body.FnIndex != 0 {
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http.Error(w, fmt.Sprintf("expected fn_index 0, got %d", body.FnIndex), http.StatusBadRequest)
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return
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}
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msg, _ := body.Data[0].(string)
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reply := "Echo from Gradio 3: " + msg
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respData := map[string]interface{}{
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"data": []interface{}{
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[][]string{
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{msg, reply},
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},
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},
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"is_generating": false,
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}
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w.Header().Set("Content-Type", "application/json")
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json.NewEncoder(w).Encode(respData)
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return
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}
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http.NotFound(w, r)
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}))
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defer ts.Close()
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gw := NewGradioGateway(ts.URL, "", 10*time.Second)
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disc := gw.GetDiscovery(ts.URL, DefaultUserAgent)
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if disc.GradioVersion != "3.41.2" {
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t.Errorf("expected GradioVersion 3.41.2, got %s", disc.GradioVersion)
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}
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if disc.Protocol != "predict" {
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t.Errorf("expected Protocol predict, got %s", disc.Protocol)
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}
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if disc.Flavor != "ChatInterface" {
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t.Errorf("expected Flavor ChatInterface, got %s", disc.Flavor)
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}
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if disc.HistoryFormat != "pairs" {
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t.Errorf("expected HistoryFormat pairs, got %s", disc.HistoryFormat)
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}
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if disc.FnIndex != 0 {
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t.Errorf("expected FnIndex 0, got %d", disc.FnIndex)
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}
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// Non-streaming completion
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req := ChatCompletionRequest{
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Messages: []ChatMessage{
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{Role: "user", Content: "Hello Gradio 3!"},
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},
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Stream: false,
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}
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b, _ := json.Marshal(req)
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httpReq := httptest.NewRequest("POST", "/v1/chat/completions", bytes.NewBuffer(b))
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rec := httptest.NewRecorder()
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if err := gw.ExecuteChatCompletion(rec, httpReq, req); err != nil {
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t.Fatalf("ExecuteChatCompletion failed on Gradio 3: %v", err)
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}
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var res ChatCompletionResponse
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if err := json.NewDecoder(rec.Body).Decode(&res); err != nil {
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t.Fatalf("failed to decode response: %v", err)
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}
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if res.Choices[0].Message.Content != "Echo from Gradio 3: Hello Gradio 3!" {
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t.Errorf("unexpected completion content: %v", res.Choices[0].Message.Content)
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}
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}
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// TestEndpointScoringDisambiguation verifies that chat generation endpoints are selected over
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// UI utility, reset, voting, and feedback endpoints.
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func TestEndpointScoringDisambiguation(t *testing.T) {
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compMap := map[int]GradioComponent{
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1: {ID: 1, Type: "textbox", Props: map[string]interface{}{"label": "Message"}},
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2: {ID: 2, Type: "chatbot", Props: map[string]interface{}{"label": "Chat"}},
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3: {ID: 3, Type: "state", Props: map[string]interface{}{"label": "State"}},
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}
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chatDep := GradioDependency{
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ID: 0,
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Inputs: []int{1, 2, 3},
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Outputs: []int{2},
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Types: GradioDependencyTypes{Generator: true},
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}
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clearDep := GradioDependency{
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ID: 1,
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Inputs: []int{2},
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Outputs: []int{2},
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}
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voteDep := GradioDependency{
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ID: 2,
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Inputs: []int{2},
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Outputs: []int{},
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}
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chatScore := ScoreCandidateEndpoint("chat", nil, &chatDep, compMap)
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clearScore := ScoreCandidateEndpoint("clear", nil, &clearDep, compMap)
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voteScore := ScoreCandidateEndpoint("vote", nil, &voteDep, compMap)
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resetScore := ScoreCandidateEndpoint("reset_all", nil, &clearDep, compMap)
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if chatScore <= 0 {
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t.Errorf("expected positive chat score, got %d", chatScore)
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}
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if clearScore >= chatScore {
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t.Errorf("expected chat score > clear score, got chat=%d clear=%d", chatScore, clearScore)
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}
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if voteScore >= chatScore {
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t.Errorf("expected chat score > vote score, got chat=%d vote=%d", chatScore, voteScore)
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}
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if resetScore >= chatScore {
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t.Errorf("expected chat score > reset score, got chat=%d reset=%d", chatScore, resetScore)
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}
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}
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// TestToolCallingPictureResolution verifies that tool calling mode is accurately resolved
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// based on component topology.
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func TestToolCallingPictureResolution(t *testing.T) {
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// Case A: Native slot
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discNative := NewDefaultSpaceDiscovery("https://tencent-hy3.hf.space")
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discNative.FunctionsJSONIndex = 8
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discNative.SystemIndex = 2
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discNative.HistoryIndex = 1
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discNative.ToolCallMode = "native_slot"
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if discNative.ToolCallMode != "native_slot" {
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t.Errorf("expected native_slot, got %s", discNative.ToolCallMode)
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}
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// Case B: Dedicated system prompt slot
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discSys := NewDefaultSpaceDiscovery("https://custom-chat.hf.space")
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discSys.FunctionsJSONIndex = -1
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discSys.SystemIndex = 2
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discSys.HistoryIndex = 1
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discSys.ToolCallMode = "prompt_augmented_system"
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if discSys.ToolCallMode != "prompt_augmented_system" {
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t.Errorf("expected prompt_augmented_system, got %s", discSys.ToolCallMode)
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}
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// Case C: Conversation history (first turn)
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discFirst := NewDefaultSpaceDiscovery("https://chat-only.hf.space")
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discFirst.FunctionsJSONIndex = -1
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discFirst.SystemIndex = -1
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discFirst.HistoryIndex = 1
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discFirst.ToolCallMode = "prompt_augmented_first_turn"
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if discFirst.ToolCallMode != "prompt_augmented_first_turn" {
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t.Errorf("expected prompt_augmented_first_turn, got %s", discFirst.ToolCallMode)
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}
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// Case D: Single prompt input
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discSingle := NewDefaultSpaceDiscovery("https://single-prompt.hf.space")
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discSingle.FunctionsJSONIndex = -1
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discSingle.SystemIndex = -1
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discSingle.HistoryIndex = -1
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discSingle.ToolCallMode = "prompt_augmented_single_prompt"
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if discSingle.ToolCallMode != "prompt_augmented_single_prompt" {
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t.Errorf("expected prompt_augmented_single_prompt, got %s", discSingle.ToolCallMode)
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}
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}
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// TestCallToPredictProtocolFallback verifies that if a space reports /call support in /info
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// but /call returns 404 at runtime, gr2gw gracefully falls back to /run/predict.
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func TestCallToPredictProtocolFallback(t *testing.T) {
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ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if r.URL.Path == "/gradio_api/info" {
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info := GradioAPIInfoResponse{
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NamedEndpoints: map[string]GradioEndpointInfo{
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"/chat": {
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Parameters: []GradioParamInfo{
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{ParameterName: "prompt", Label: "Prompt", Component: "Textbox"},
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},
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},
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},
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}
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w.Header().Set("Content-Type", "application/json")
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json.NewEncoder(w).Encode(info)
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return
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}
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if r.URL.Path == "/config" {
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cfg := GradioConfigResponse{
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Version: "4.20.0",
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Mode: "interface",
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Components: []GradioComponent{
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{ID: 1, Type: "textbox", Props: map[string]interface{}{"label": "Prompt"}},
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},
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Dependencies: []GradioDependency{
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{ID: 0, APIName: "/chat", Inputs: []int{1}, Outputs: []int{1}},
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},
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}
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w.Header().Set("Content-Type", "application/json")
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json.NewEncoder(w).Encode(cfg)
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return
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}
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// /call/chat returns 404 (endpoint disabled or unsupported)
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if strings.HasPrefix(r.URL.Path, "/gradio_api/call/") || strings.HasPrefix(r.URL.Path, "/call/") {
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http.NotFound(w, r)
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return
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}
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// Fallback /run/predict works
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if r.URL.Path == "/run/predict" || r.URL.Path == "/gradio_api/run/predict" {
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var body struct {
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Data []interface{} `json:"data"`
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}
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json.NewDecoder(r.Body).Decode(&body)
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msg, _ := body.Data[0].(string)
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w.Header().Set("Content-Type", "application/json")
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json.NewEncoder(w).Encode(map[string]interface{}{
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"data": []interface{}{"Fallback response for: " + msg},
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"is_generating": false,
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})
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return
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}
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http.NotFound(w, r)
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}))
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defer ts.Close()
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gw := NewGradioGateway(ts.URL, "", 10*time.Second)
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req := ChatCompletionRequest{
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Messages: []ChatMessage{
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{Role: "user", Content: "Testing fallback"},
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},
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Stream: false,
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}
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b, _ := json.Marshal(req)
|
||||
httpReq := httptest.NewRequest("POST", "/v1/chat/completions", bytes.NewBuffer(b))
|
||||
rec := httptest.NewRecorder()
|
||||
|
||||
if err := gw.ExecuteChatCompletion(rec, httpReq, req); err != nil {
|
||||
t.Fatalf("ExecuteChatCompletion fallback failed: %v", err)
|
||||
}
|
||||
|
||||
var res ChatCompletionResponse
|
||||
if err := json.NewDecoder(rec.Body).Decode(&res); err != nil {
|
||||
t.Fatalf("failed to decode response: %v", err)
|
||||
}
|
||||
if res.Choices[0].Message.Content != "Fallback response for: Testing fallback" {
|
||||
t.Errorf("unexpected content: %v", res.Choices[0].Message.Content)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user