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1bc3f18 | 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 | from stores.llm.LLMInterface import LLMInterface
import logging
import requests
import re
import os
class OpenRouterProvider(LLMInterface):
def __init__(self, url: str = None, model: str = None,
default_input_max_characters: int = 1000,
default_generation_max_output_tokens: int = 1000,
default_generation_temperature: float = 0.1, api_key: str = None):
self.url = url or "https://openrouter.ai/api/v1"
self.api_key = api_key or os.getenv("OPENROUTER_API_KEY")
self.model = model
self.generation_model_id = None
self.embedding_model = None
self.embedding_model_id = None
self.embedding_size = None
self.default_input_max_characters = default_input_max_characters
self.default_generation_max_output_tokens = default_generation_max_output_tokens
self.default_generation_temperature = default_generation_temperature
self.logger = logging.getLogger(__name__)
def set_generation_model(self, model_id: str):
if model_id:
self.model = model_id
def set_embedding_model(self, model_id: str, embedding_size: int):
if model_id:
self.embedding_model = model_id
self.embedding_size = embedding_size
self.embedding_model_id = model_id
def process_text(self, text: str):
if not text:
return ""
return str(text).strip()
def generate_text(self, prompt: str, chat_history: list = None,
max_output_tokens: int = None, temperature: float = None):
try:
chat_history = chat_history or []
clean_prompt = self.process_text(prompt)
messages = []
for entry in chat_history:
messages.append({
"role": entry.get("role", "user"),
"content": entry.get("content", "")
})
messages.append({"role": "user", "content": clean_prompt})
payload = {
"model": self.model,
"messages": messages,
"max_tokens": int(max_output_tokens or self.default_generation_max_output_tokens),
"temperature": float(temperature or self.default_generation_temperature),
}
url = self.url.rstrip("/") + "/chat/completions"
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
# Recommended by OpenRouter for usage tracking
"HTTP-Referer": os.getenv("OPENROUTER_SITE_URL", "http://localhost"),
"X-Title": os.getenv("OPENROUTER_APP_NAME", "LLMApp"),
}
resp = requests.post(url, json=payload, headers=headers, timeout=6000)
if resp.status_code != 200:
self.logger.error("OpenRouter generate failed: %s %s", resp.status_code, resp.text)
return None
data = resp.json()
try:
generated_text = data["choices"][0]["message"]["content"].strip()
except (KeyError, IndexError, TypeError):
self.logger.error("Unexpected OpenRouter response structure: %s", data)
return None
if not generated_text:
return None
usage = data.get("usage", {})
return {
"model": data.get("model"),
"response": generated_text,
"tokens_generated": usage.get("completion_tokens"),
"total_duration_ms": None,
"prompt_eval_tokens": usage.get("prompt_tokens"),
}
except Exception as e:
self.logger.exception("Error in OpenRouterProvider.generate_text: %s", e)
return None
def embed_text(self, text: str, document_type: str = None):
"""OpenRouter does not support embeddings natively — returns None."""
self.logger.warning("OpenRouterProvider does not support embeddings.")
return None
def construct_prompt(self, prompt: str, role: str):
return {
"role": role,
"content": self.process_text(prompt)
}
def embed_text_batch(self, texts: list[str], batch_size: int = 32):
"""OpenRouter does not support embeddings natively — returns None."""
self.logger.warning("OpenRouterProvider does not support embeddings.")
return None
def clean_content(self, text: str) -> str:
text = re.sub(r'\[.*?\]\(.*?\)', '', text)
text = re.sub(r'\[[^\]]*\]', '', text)
text = re.sub(r'\n+', '\n', text).strip()
return text
def web_search(self, query: str):
"""
OpenRouter supports online models (e.g. perplexity/sonar-online) that have
built-in web search. Route the query through one of those models if available,
otherwise fall back to a not-supported notice.
"""
try:
online_model = os.getenv("OPENROUTER_SEARCH_MODEL", "perplexity/sonar-online")
payload = {
"model": online_model,
"messages": [{"role": "user", "content": query}],
"max_tokens": int(self.default_generation_max_output_tokens),
"temperature": float(self.default_generation_temperature),
}
url = self.url.rstrip("/") + "/chat/completions"
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
"HTTP-Referer": os.getenv("OPENROUTER_SITE_URL", "http://localhost"),
"X-Title": os.getenv("OPENROUTER_APP_NAME", "LLMApp"),
}
resp = requests.post(url, json=payload, headers=headers, timeout=6000)
if not resp or resp.status_code != 200:
return {
"text": "No relevant external results found.",
"references": []
}
data = resp.json()
combined_text = []
references = set()
try:
text_content = data["choices"][0]["message"]["content"]
combined_text.append(self.clean_content(text_content))
except (KeyError, IndexError, TypeError):
pass
# Extract any URLs from the response text
for found_url in re.findall(r"https?://[^\s)]+", "\n".join(combined_text)):
references.add(found_url)
return {
"text": "\n\n".join(combined_text[:3]),
"references": list(references)
}
except Exception as e:
self.logger.error("OpenRouter web search failed: %s", e)
return {
"text": f"OpenRouter search error: {str(e)}",
"references": []
}
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