File size: 9,216 Bytes
505d6d9 ddac050 505d6d9 305d870 505d6d9 ed64977 ddac050 1f75665 505d6d9 1f75665 505d6d9 909eff0 505d6d9 909eff0 505d6d9 1f75665 505d6d9 e1d36ec 505d6d9 e1d36ec fec291d 505d6d9 ddac050 1c5cb1e 5492f08 505d6d9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 | from flask import Flask, request, jsonify, Response, stream_with_context
import requests
import json
import sys
# Force UTF-8 output
try:
sys.stdout.reconfigure(encoding="utf-8")
except Exception:
pass
app = Flask(__name__)
API_URL = "https://ml-gateway.voiceflow.com/v1alpha1/generation/global-instruction/stream"
HEADERS = {
"Authorization": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VySUQiOjMwMDU1OCwiZW1haWwiOiJhbGhvb3JzaG9wcEBnbWFpbC5jb20iLCJuYW1lIjoib21hciBudXdhcmEiLCJpbnRlcm5hbEFkbWluIjpmYWxzZSwiaXNzIjoiaHR0cHM6Ly9hdXRoLWFwaS52b2ljZWZsb3cuY29tIiwiaWF0IjoxNzgwOTUzMzA2fQ.lrVXj60S5tGG7Ld1R_pCZ3dRopVsB-V7pZlORBp7l78",
"Content-Type": "application/json",
"Accept": "text/event-stream",
}
PROJECT_ID = "6a27315d4b4451fda7e0d81f"
VERSION_ID = "6a27315d4b4451fda7e0d820"
WORKSPACE_ID = "95kwg6mRkO"
START_TAG = "<AI>"
END_TAG = "</AI>"
def repair_text(text):
"""Attempts to fix common UTF-8/Latin1 corruption."""
if not text:
return text
try:
repaired = text.encode("latin1").decode("utf-8")
if repaired.count("") <= text.count(""):
text = repaired
except Exception:
pass
return text
def build_prompt(messages):
conversation = []
for msg in messages:
role = msg.get("role", "").lower()
content = msg.get("content", "")
if not content:
continue
content = repair_text(content)
if role == "system":
conversation.append(f"SYSTEM: {content}")
elif role == "user":
conversation.append(f"USER: {content}")
elif role == "assistant":
conversation.append(f"AI: {content}")
conversation.append("ASSISTANT:")
return "\n\n".join(conversation)
def create_payload(messages):
return {
"locales": ["en-US"],
"variables": [],
"projectID": PROJECT_ID,
"versionID": VERSION_ID,
"workspaceID": WORKSPACE_ID,
"userInstruction": "okay you have two tasks create instructions and response to user but as XML :<AI>youe response to user here with all XMLs from the system</AI> THEN <Instruction>your Instruction here</Instruction>\n\nCHAT :" + build_prompt(messages),
"previousUserInstruction": ""
}
@app.route("/chat", methods=["POST"])
def chat():
data = request.get_json(silent=True)
if not data:
return jsonify({"error": "Invalid JSON"}), 400
print("\n" + "=" * 60)
print("📥 INCOMING REQUEST:")
print(json.dumps(data, indent=2, ensure_ascii=False))
print("=" * 60 + "\n")
messages = data.get("messages")
if not messages:
return jsonify({"error": "messages required"}), 400
stream = data.get("stream", False)
payload = create_payload(messages)
if stream:
@stream_with_context
def generate():
buffer = ""
inside_ai = False
ai_started = False # Tracks if we've seen <AI> or started fallback streaming
try:
with requests.post(
API_URL, headers=HEADERS, json=payload, stream=True, timeout=120
) as response:
response.raise_for_status()
response.encoding = "utf-8"
print("📤 STREAM OUTPUT (Filtered):")
for line in response.iter_lines(decode_unicode=True):
if not line or not line.startswith("data: "):
continue
try:
event = json.loads(line[6:])
chunk = event.get("output", "")
if not chunk:
continue
buffer += chunk
# --- START TAG DETECTION ---
if not inside_ai and START_TAG in buffer:
idx = buffer.index(START_TAG) + len(START_TAG)
buffer = buffer[idx:]
inside_ai = True
ai_started = True
# --- FALLBACK: If model skips <AI> tag entirely ---
if not ai_started and len(buffer) > 50:
inside_ai = True
ai_started = True
# --- INSIDE AI CONTENT ---
if inside_ai:
if END_TAG in buffer:
# ✅ STOP STREAMING IMMEDIATELY after </AI>
idx = buffer.index(END_TAG)
final_chunk = buffer[:idx]
if final_chunk:
print(final_chunk, end="", flush=True)
yield (
"data: "
+ json.dumps({"content": final_chunk}, ensure_ascii=False)
+ "\n\n"
)
print("\n✅ </AI> REACHED - STOPPING STREAM\n")
yield "data: [DONE]\n\n"
return # ⛔ Hard stop: ignore all remaining chunks
else:
safe_len = max(0, len(buffer) - len(END_TAG))
if safe_len > 0:
to_yield = buffer[:safe_len]
buffer = buffer[safe_len:]
print(to_yield, end="", flush=True)
yield (
"data: "
+ json.dumps({"content": to_yield}, ensure_ascii=False)
+ "\n\n"
)
except Exception as e:
print(f"\n⚠️ Chunk Error: {e}")
print("\n✅ STREAM COMPLETE\n")
yield "data: [DONE]\n\n"
except Exception as e:
error_msg = str(e)
print(f"\n❌ STREAM ERROR: {error_msg}\n")
yield "data: " + json.dumps({"error": error_msg}) + "\n\n"
return Response(
generate(),
mimetype="text/event-stream",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"X-Accel-Buffering": "no"
}
)
# Non-streaming path
try:
full_response = ""
buffer = ""
inside_ai = False
ai_started = False
print("📤 NON-STREAM OUTPUT (Filtered):")
with requests.post(
API_URL, headers=HEADERS, json=payload, stream=True, timeout=120
) as response:
response.raise_for_status()
response.encoding = "utf-8"
for line in response.iter_lines(decode_unicode=True):
if not line or not line.startswith("data: "):
continue
try:
event = json.loads(line[6:])
chunk = event.get("output", "")
if not chunk:
continue
buffer += chunk
if not inside_ai and START_TAG in buffer:
idx = buffer.index(START_TAG) + len(START_TAG)
buffer = buffer[idx:]
inside_ai = True
ai_started = True
if not ai_started and len(buffer) > 50:
inside_ai = True
ai_started = True
if inside_ai:
if END_TAG in buffer:
idx = buffer.index(END_TAG)
full_response += buffer[:idx]
break # ⛔ Stop reading after </AI>
else:
safe_len = max(0, len(buffer) - len(END_TAG))
if safe_len > 0:
full_response += buffer[:safe_len]
buffer = buffer[safe_len:]
except Exception:
pass
full_response = repair_text(full_response)
print(full_response)
print("\n✅ RESPONSE COMPLETE\n")
return jsonify({"role": "assistant", "content": full_response})
except requests.exceptions.RequestException as e:
print(f"\n❌ REQUEST ERROR: {e}\n")
return jsonify({"error": str(e)}), 500
except Exception as e:
print(f"\n❌ ERROR: {e}\n")
return jsonify({"error": str(e)}), 500
@app.route("/", methods=["GET"])
def home():
return jsonify({"status": "online", "endpoint": "/chat"})
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860, threaded=True, debug=True) |