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0d03152 40db081 0d03152 40db081 0d03152 40db081 0d03152 40db081 0d03152 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 | """LLM provider abstractions for local and cloud models."""
from __future__ import annotations
import json
import os
import time
from dataclasses import dataclass
from typing import Iterator, Optional, Protocol
import ollama
import requests
from src.utils.config import LLMSettings, provider_api_key_env
def _raise_for_status_with_detail(resp: requests.Response, provider: str) -> None:
try:
resp.raise_for_status()
except requests.HTTPError as exc:
detail = ""
try:
body = resp.json()
detail = json.dumps(body)
except Exception:
detail = (resp.text or "").strip()
detail = detail[:1200]
if detail:
msg = f"{provider} API error ({resp.status_code}): {detail}"
else:
msg = f"{provider} API error ({resp.status_code})"
raise ValueError(msg) from exc
class LLMProvider(Protocol):
def generate(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> str:
...
def stream(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> Iterator[str]:
...
@dataclass
class LLMSelection:
provider: str
model: str
class OllamaProvider:
def __init__(self, base_url: str) -> None:
self.base_url = base_url
self._client = ollama.Client(host=base_url)
def generate(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> str:
resp = self._chat_with_retry(model=model, prompt=prompt, stream=False)
return str(resp.get("message", {}).get("content") or "")
def stream(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> Iterator[str]:
attempts = 3
for idx in range(attempts):
started = False
try:
stream = self._client.chat(
model=model,
messages=[{"role": "user", "content": prompt}],
stream=True,
)
for chunk in stream: # type: ignore[assignment]
started = True
msg = chunk.get("message") or {}
piece = msg.get("content") or ""
if piece:
yield piece
return
except Exception:
# Only retry startup failures; avoid duplicating partial streamed output.
if started or idx == attempts - 1:
raise
time.sleep(0.35 * (idx + 1))
def _chat_with_retry(self, *, model: str, prompt: str, stream: bool):
attempts = 3
last_error: Exception | None = None
messages = [{"role": "user", "content": prompt}]
for idx in range(attempts):
try:
if stream:
return self._client.chat(
model=model,
messages=messages,
stream=True,
)
return self._client.chat(
model=model,
messages=messages,
stream=False,
)
except Exception as exc: # transient local daemon failures
last_error = exc
if idx == attempts - 1:
raise
time.sleep(0.35 * (idx + 1))
if last_error is not None:
raise last_error
raise RuntimeError("Unexpected Ollama retry state")
class OpenAIProvider:
def __init__(self, base_url: str, timeout_seconds: int) -> None:
self.base_url = base_url.rstrip("/")
self.timeout_seconds = timeout_seconds
def _key(self, api_key_override: Optional[str] = None) -> str:
key = api_key_override or os.getenv("OPENAI_API_KEY")
if not key:
raise ValueError("OPENAI_API_KEY is required for OpenAI provider")
return key
def generate(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> str:
resp = requests.post(
f"{self.base_url}/chat/completions",
headers={"Authorization": f"Bearer {self._key(api_key_override)}"},
json={
"model": model,
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.1,
},
timeout=self.timeout_seconds,
)
_raise_for_status_with_detail(resp, "openai")
data = resp.json()
return str(data["choices"][0]["message"]["content"])
def stream(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> Iterator[str]:
with requests.post(
f"{self.base_url}/chat/completions",
headers={"Authorization": f"Bearer {self._key(api_key_override)}"},
json={
"model": model,
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.1,
"stream": True,
},
timeout=self.timeout_seconds,
stream=True,
) as resp:
_raise_for_status_with_detail(resp, "openai")
for raw in resp.iter_lines(decode_unicode=True):
if not raw:
continue
line = raw.strip()
if not line.startswith("data:"):
continue
data = line[5:].strip()
if data == "[DONE]":
break
try:
payload = json.loads(data)
except json.JSONDecodeError:
continue
delta = payload.get("choices", [{}])[0].get("delta", {})
piece = delta.get("content")
if piece:
yield str(piece)
class AnthropicProvider:
def __init__(self, base_url: str, timeout_seconds: int) -> None:
self.base_url = base_url.rstrip("/")
self.timeout_seconds = timeout_seconds
def _key(self, api_key_override: Optional[str] = None) -> str:
key = api_key_override or os.getenv("ANTHROPIC_API_KEY")
if not key:
raise ValueError("ANTHROPIC_API_KEY is required for Anthropic provider")
return key
def generate(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> str:
resp = requests.post(
f"{self.base_url}/messages",
headers={
"x-api-key": self._key(api_key_override),
"anthropic-version": "2023-06-01",
"content-type": "application/json",
},
json={
"model": model,
"max_tokens": 1024,
"messages": [{"role": "user", "content": prompt}],
},
timeout=self.timeout_seconds,
)
_raise_for_status_with_detail(resp, "anthropic")
data = resp.json()
blocks = data.get("content", [])
if not blocks:
return ""
return str(blocks[0].get("text", ""))
def stream(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> Iterator[str]:
with requests.post(
f"{self.base_url}/messages",
headers={
"x-api-key": self._key(api_key_override),
"anthropic-version": "2023-06-01",
"content-type": "application/json",
"accept": "text/event-stream",
},
json={
"model": model,
"max_tokens": 1024,
"messages": [{"role": "user", "content": prompt}],
"stream": True,
},
timeout=self.timeout_seconds,
stream=True,
) as resp:
_raise_for_status_with_detail(resp, "anthropic")
for raw in resp.iter_lines(decode_unicode=True):
if not raw:
continue
line = raw.strip()
if not line.startswith("data:"):
continue
data = line[5:].strip()
if data == "[DONE]":
break
try:
payload = json.loads(data)
except json.JSONDecodeError:
continue
if payload.get("type") == "content_block_delta":
piece = (payload.get("delta") or {}).get("text")
if piece:
yield str(piece)
class GeminiProvider:
def __init__(self, base_url: str, timeout_seconds: int) -> None:
self.base_url = base_url.rstrip("/")
self.timeout_seconds = timeout_seconds
def _key(self, api_key_override: Optional[str] = None) -> str:
key = api_key_override or os.getenv("GEMINI_API_KEY")
if not key:
raise ValueError("GEMINI_API_KEY is required for Gemini provider")
return key
def generate(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> str:
resp = requests.post(
f"{self.base_url}/models/{model}:generateContent",
params={"key": self._key(api_key_override)},
json={"contents": [{"parts": [{"text": prompt}]}]},
timeout=self.timeout_seconds,
)
_raise_for_status_with_detail(resp, "gemini")
data = resp.json()
candidates = data.get("candidates", [])
if not candidates:
return ""
parts = candidates[0].get("content", {}).get("parts", [])
return str(parts[0].get("text", "")) if parts else ""
def stream(self, prompt: str, model: str, api_key_override: Optional[str] = None) -> Iterator[str]:
with requests.post(
f"{self.base_url}/models/{model}:streamGenerateContent",
params={"key": self._key(api_key_override), "alt": "sse"},
json={"contents": [{"parts": [{"text": prompt}]}]},
timeout=self.timeout_seconds,
stream=True,
) as resp:
_raise_for_status_with_detail(resp, "gemini")
for raw in resp.iter_lines(decode_unicode=True):
if not raw:
continue
line = raw.strip()
if not line.startswith("data:"):
continue
data = line[5:].strip()
if not data:
continue
try:
payload = json.loads(data)
except json.JSONDecodeError:
continue
candidates = payload.get("candidates", [])
if not candidates:
continue
parts = candidates[0].get("content", {}).get("parts", [])
if not parts:
continue
piece = parts[0].get("text")
if piece:
yield str(piece)
class LLMProviderRouter:
def __init__(self, settings: LLMSettings) -> None:
self.settings = settings
self._providers: dict[str, LLMProvider] = {
"ollama": OllamaProvider(settings.ollama_base_url),
"openai": OpenAIProvider(settings.openai_base_url, settings.request_timeout_seconds),
"anthropic": AnthropicProvider(settings.anthropic_base_url, settings.request_timeout_seconds),
"gemini": GeminiProvider(settings.gemini_base_url, settings.request_timeout_seconds),
}
def resolve_selection(
self,
provider: Optional[str],
model: Optional[str],
*,
has_api_key_override: bool = False,
) -> LLMSelection:
normalized = self.settings.normalize_provider(provider)
key_env = provider_api_key_env(normalized)
if key_env and not has_api_key_override and not os.getenv(key_env):
raise ValueError(f"{key_env} is required for provider {normalized!r}")
selected_model = self.settings.resolve_model(normalized, model)
return LLMSelection(provider=normalized, model=selected_model)
def generate(self, provider: str, model: str, prompt: str, api_key_override: Optional[str] = None) -> str:
impl = self._providers.get(provider)
if impl is None:
raise ValueError(f"Unsupported provider: {provider}")
return impl.generate(prompt, model, api_key_override=api_key_override)
def stream(
self,
provider: str,
model: str,
prompt: str,
api_key_override: Optional[str] = None,
) -> Iterator[str]:
impl = self._providers.get(provider)
if impl is None:
raise ValueError(f"Unsupported provider: {provider}")
yield from impl.stream(prompt, model, api_key_override=api_key_override)
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