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085db90 c555047 085db90 1a97647 085db90 4f7950f 085db90 1a97647 4f7950f 1a97647 3e23f7a 2845211 085db90 3e23f7a 2845211 085db90 4f7950f 085db90 1a97647 4f7950f 1a97647 085db90 c555047 085db90 c555047 085db90 b49a6ce 085db90 b49a6ce 23ed0c3 085db90 b49a6ce 085db90 b49a6ce 23ed0c3 085db90 | 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 | from __future__ import annotations
import json
import logging
import time
from fastapi import APIRouter, HTTPException, Request
from fastapi.responses import StreamingResponse, JSONResponse
from pydantic import BaseModel
from app.config import settings
from app.services.persona import generate_role_prompt, generate_role_prompt_freeform
from app.services.orchestrator import (
Session, Persona, create_session, get_session, run_conversation,
)
router = APIRouter()
LOG = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Request models
# ---------------------------------------------------------------------------
class GenerateRoleRequest(BaseModel):
model_id: str
name: str = ""
profile: str = ""
identity: str = ""
samples: str = ""
role_style: str = "exact"
class GenerateRoleFreeformRequest(BaseModel):
model_id: str
name: str = ""
text: str = ""
role_style: str = "ai_completed"
class SetOrchestratorRequest(BaseModel):
model_id: str
class SetSpeedPriorityRequest(BaseModel):
enabled: bool
class StartChatRequest(BaseModel):
persona_a_model_id: str
persona_a_name: str
persona_a_role: str
persona_b_model_id: str
persona_b_name: str
persona_b_role: str
starter_text: str | None = None
# ---------------------------------------------------------------------------
# Endpoints
# ---------------------------------------------------------------------------
@router.get("/chat/orchestrator")
async def api_get_orchestrator():
return {"model_id": settings.orchestrator_model}
@router.put("/chat/orchestrator")
async def api_set_orchestrator(req: SetOrchestratorRequest):
settings.orchestrator_model = req.model_id
return {"model_id": settings.orchestrator_model}
@router.get("/chat/speed-priority")
async def api_get_speed_priority():
return {"enabled": settings.speed_priority}
@router.put("/chat/speed-priority")
async def api_set_speed_priority(req: SetSpeedPriorityRequest):
settings.speed_priority = req.enabled
return {"enabled": settings.speed_priority}
@router.post("/chat/generate-role")
async def api_generate_role(req: GenerateRoleRequest):
result = await generate_role_prompt(
model_id=req.model_id,
name=req.name,
profile=req.profile,
identity=req.identity,
samples=req.samples,
role_style=req.role_style,
)
if result.get("error"):
raise HTTPException(status_code=400, detail=result["error"])
return result
@router.post("/chat/generate-role-freeform")
async def api_generate_role_freeform(req: GenerateRoleFreeformRequest):
result = await generate_role_prompt_freeform(
model_id=req.model_id,
name=req.name,
text=req.text,
role_style=req.role_style,
)
if result.get("error"):
raise HTTPException(status_code=400, detail=result["error"])
return result
@router.post("/chat/start")
async def api_start_chat(req: StartChatRequest, request: Request):
"""Create a session and return a streaming SSE response for the conversation."""
from app.middleware.rate_limit import check_rate_limit, record_conversation
allowed, remaining = check_rate_limit(request)
if not allowed:
return JSONResponse(
status_code=429,
content={
"detail": "Daily conversation limit reached (20/day). Sign in with HuggingFace as a neongeckocom org member for unlimited access.",
"remaining": 0,
},
)
record_conversation(request)
ra = settings.resolve_model(req.persona_a_model_id)
rb = settings.resolve_model(req.persona_b_model_id)
if not ra:
raise HTTPException(400, f"Unknown model: {req.persona_a_model_id}")
if not rb:
raise HTTPException(400, f"Unknown model: {req.persona_b_model_id}")
session = create_session()
session.persona_a = Persona(
name=req.persona_a_name or "Persona A",
model_id=ra["model_id"],
role_prompt=req.persona_a_role,
base_url=ra.get("base_url", ""),
api_key=ra.get("api_key", ""),
display_name=ra["display_name"],
is_neon=ra.get("is_neon", False),
hana_model_id=ra.get("hana_model_id", ""),
persona_name=ra.get("persona_name", ""),
neon_direct_vllm=ra.get("neon_direct_vllm", False),
vllm_base_url=ra.get("vllm_base_url", ""),
vllm_api_key=ra.get("vllm_api_key", ""),
)
session.persona_b = Persona(
name=req.persona_b_name or "Persona B",
model_id=rb["model_id"],
role_prompt=req.persona_b_role,
base_url=rb.get("base_url", ""),
api_key=rb.get("api_key", ""),
display_name=rb["display_name"],
is_neon=rb.get("is_neon", False),
hana_model_id=rb.get("hana_model_id", ""),
persona_name=rb.get("persona_name", ""),
neon_direct_vllm=rb.get("neon_direct_vllm", False),
vllm_base_url=rb.get("vllm_base_url", ""),
vllm_api_key=rb.get("vllm_api_key", ""),
)
async def event_stream():
yield f"event: session\ndata: {json.dumps({'session_id': session.session_id})}\n\n"
async for chunk in run_conversation(session, req.starter_text):
yield chunk
return StreamingResponse(event_stream(), media_type="text/event-stream")
@router.get("/chat/{session_id}/export")
async def api_export_chat(session_id: str, fmt: str = "txt"):
session = get_session(session_id)
if not session:
raise HTTPException(404, "Session not found")
if fmt == "md":
return _export_md(session)
return _export_txt(session)
@router.get("/chat/{session_id}/api-log")
async def api_export_log(session_id: str):
session = get_session(session_id)
if not session:
raise HTTPException(404, "Session not found")
return {
"session_id": session_id,
"log": session.api_log,
}
# ---------------------------------------------------------------------------
# Export helpers
# ---------------------------------------------------------------------------
def _export_txt(session: Session) -> dict:
lines = [f"LLMChats3 Conversation Log", "=" * 40, ""]
if session.persona_a:
lines.append(f"Participant 1: {session.persona_a.name} ({session.persona_a.display_name})")
if session.persona_b:
lines.append(f"Participant 2: {session.persona_b.name} ({session.persona_b.display_name})")
lines.append("")
for m in session.messages:
lines.append(f"{m['speaker']}: {m['text']}")
lines.append("")
return {"filename": "chat_export.txt", "content": "\n".join(lines)}
def _export_md(session: Session) -> dict:
lines = ["# LLMChats3 Conversation Log", ""]
if session.persona_a:
lines.append(f"**Participant 1:** {session.persona_a.name} (*{session.persona_a.display_name}*)")
if session.persona_b:
lines.append(f"**Participant 2:** {session.persona_b.name} (*{session.persona_b.display_name}*)")
lines.append("\n---\n")
for m in session.messages:
lines.append(f"**{m['speaker']}:** {m['text']}")
lines.append("")
return {"filename": "chat_export.md", "content": "\n".join(lines)}
|