Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license

2026-09-05 13:26:46 +03:00
commit 03634b1ca3
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+"""OSS provider definitions for LLM, embedder, and vector store."""
+
+from __future__ import annotations
+
+import os
+from typing import Any
+
+LLM_PROVIDERS: dict[str, dict[str, Any]] = {
+    "openai": {
+        "label": "OpenAI",
+        "needs_key": True,
+        "env_var": "OPENAI_API_KEY",
+        "default_model": "gpt-5-mini",
+        "base_url_key": "openai_base_url",
+    },
+    "ollama": {
+        "label": "Ollama (local)",
+        "needs_key": False,
+        "default_model": "llama3.1:8b",
+        "default_url": "http://localhost:11434",
+        "base_url_key": "ollama_base_url",
+        "pip_dep": "ollama",
+    },
+}
+
+EMBEDDER_PROVIDERS: dict[str, dict[str, Any]] = {
+    "openai": {
+        "label": "OpenAI",
+        "needs_key": True,
+        "env_var": "OPENAI_API_KEY",
+        "default_model": "text-embedding-3-small",
+        "base_url_key": "openai_base_url",
+        "dims": 1536,
+    },
+    "ollama": {
+        "label": "Ollama (local)",
+        "needs_key": False,
+        "default_model": "nomic-embed-text",
+        "default_url": "http://localhost:11434",
+        "base_url_key": "ollama_base_url",
+        "dims": 768,
+        "pip_dep": "ollama",
+    },
+}
+
+VECTOR_PROVIDERS: dict[str, dict[str, Any]] = {
+    "qdrant": {
+        "label": "Qdrant",
+        "default_config": {"path": os.path.expanduser("~/.hermes/mem0_qdrant")},
+        "pip_dep": "qdrant-client",
+    },
+    "pgvector": {
+        "label": "PGVector",
+        "default_config": {"host": "localhost", "port": 5432, "user": os.getenv("USER", "postgres"), "dbname": "postgres"},
+        "pip_dep": "psycopg2-binary",
+    },
+}
+
+KNOWN_DIMS: dict[str, int] = {
+    "text-embedding-3-small": 1536,
+    "text-embedding-3-large": 3072,
+    "text-embedding-ada-002": 1536,
+    "nomic-embed-text": 768,
+}
+
+
+def validate_oss_config(oss_config: dict) -> list[str]:
+    """Validate an OSS config dict. Returns list of error strings (empty = valid)."""
+    errors: list[str] = []
+
+    for section, registry in [("llm", LLM_PROVIDERS), ("embedder", EMBEDDER_PROVIDERS),
+                               ("vector_store", VECTOR_PROVIDERS)]:
+        block = oss_config.get(section)
+        if not block or not isinstance(block, dict):
+            errors.append(f"Missing required section: {section}")
+            continue
+        provider_id = block.get("provider", "")
+        if provider_id not in registry:
+            valid = ", ".join(registry.keys())
+            errors.append(f"Unknown {section} provider '{provider_id}'. Valid: {valid}")
+
+    vs = oss_config.get("vector_store", {})
+    if vs.get("provider") == "pgvector":
+        cfg = vs.get("config", {})
+        if not cfg.get("user"):
+            errors.append("PGVector requires 'user' in vector_store.config")
+
+    return errors