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feat(providers): add Cortecs as an OpenAI-compatible provider (#43872)
Co-authored-by: Krrish Dholakia <krrishdholakia@berri.ai> Co-authored-by: markoarnauto <7702545+markoarnauto@users.noreply.github.com> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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@ -961,6 +961,7 @@ openai_compatible_endpoints: Final[list] = [
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"https://api.meta.ai/v1",
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"https://api.sailresearch.com/v1",
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"https://api.cognition.ai/v1",
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"https://api.cortecs.ai/v1",
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"https://api.scx.ai/v1",
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"https://api.prisminference.com/v1",
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"https://gigachat.devices.sberbank.ru/api/v1",
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@ -1035,6 +1036,7 @@ openai_compatible_providers: Final[list] = [
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"darkbloom",
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"meta", # Meta Model API (Muse Spark) - JSON-configured provider
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"cognition",
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"cortecs",
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"scx-ai",
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"prism",
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"sail",
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@ -180,6 +180,12 @@
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"api_key_env": "COGNITION_API_KEY",
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"api_base_env": "COGNITION_API_BASE"
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},
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"cortecs": {
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"base_url": "https://api.cortecs.ai/v1",
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"api_key_env": "CORTECS_API_KEY",
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"api_base_env": "CORTECS_API_BASE",
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"supported_endpoints": ["/v1/chat/completions", "/v1/responses", "/v1/messages"]
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},
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"pinstripes": {
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"base_url": "https://pinstripes.io/v1",
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"api_key_env": "PINSTRIPES_API_KEY",
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@ -618,6 +618,24 @@
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"interactions": true
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}
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},
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"cortecs": {
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"display_name": "Cortecs (`cortecs`)",
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"url": "https://docs.litellm.ai/docs/providers/cortecs",
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"endpoints": {
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"chat_completions": true,
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"messages": true,
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"responses": true,
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"embeddings": false,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false,
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"interactions": false
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}
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},
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"custom": {
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"display_name": "Custom (`custom`)",
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"url": "https://docs.litellm.ai/docs/providers/custom_llm_server",
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@ -1015,6 +1015,34 @@
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],
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"default_model_placeholder": "gpt-3.5-turbo"
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},
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{
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"provider": "CORTECS",
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"provider_display_name": "Cortecs",
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"litellm_provider": "cortecs",
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"credential_fields": [
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{
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"key": "api_base",
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"label": "API Base",
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"placeholder": "https://api.cortecs.ai/v1",
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"tooltip": null,
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"required": false,
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"field_type": "text",
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"options": null,
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"default_value": null
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},
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{
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"key": "api_key",
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"label": "API Key",
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"placeholder": null,
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"tooltip": null,
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"required": true,
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"field_type": "password",
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"options": null,
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"default_value": null
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}
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],
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"default_model_placeholder": "cortecs/gpt-6-sol"
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},
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{
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"provider": "CUSTOM",
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"provider_display_name": "Custom",
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@ -4154,6 +4154,7 @@ class LlmProviders(str, Enum):
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LIBERTAI = "libertai"
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PINSTRIPES = "pinstripes"
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COGNITION = "cognition"
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CORTECS = "cortecs"
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SCX_AI = "scx-ai"
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PRISM = "prism"
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DARKBLOOM = "darkbloom"
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@ -671,6 +671,24 @@
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"interactions": true
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}
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},
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"cortecs": {
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"display_name": "Cortecs (`cortecs`)",
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"url": "https://docs.litellm.ai/docs/providers/cortecs",
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"endpoints": {
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"chat_completions": true,
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"messages": true,
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"responses": true,
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"embeddings": false,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false,
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"interactions": false
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}
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},
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"crusoe": {
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"display_name": "Crusoe (`crusoe`)",
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"url": "https://docs.litellm.ai/docs/providers/crusoe",
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187
tests/unit/llms/openai_like/test_cortecs_provider.py
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187
tests/unit/llms/openai_like/test_cortecs_provider.py
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@ -0,0 +1,187 @@
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import json
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from pathlib import Path
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from typing import Final
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import pytest
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import respx
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import litellm
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from litellm.caching.llm_caching_handler import LLMClientCache
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def test_cortecs_provider_resolution(monkeypatch: pytest.MonkeyPatch):
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from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
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monkeypatch.setenv("CORTECS_API_KEY", "cortecs-test-key")
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model, provider, api_key, api_base = get_llm_provider(
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model="cortecs/gpt-6-sol",
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custom_llm_provider=None,
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api_base=None,
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api_key=None,
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)
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assert model == "gpt-6-sol"
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assert provider == "cortecs"
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assert api_key == "cortecs-test-key"
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assert api_base == "https://api.cortecs.ai/v1"
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def test_cortecs_provider_keeps_explicit_credentials(monkeypatch: pytest.MonkeyPatch):
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from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
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monkeypatch.setenv("CORTECS_API_KEY", "cortecs-env-key")
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_, provider, api_key, api_base = get_llm_provider(
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model="cortecs/gpt-6-sol",
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custom_llm_provider=None,
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api_base="https://cortecs.internal.example/v1",
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api_key="cortecs-explicit-key",
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)
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assert provider == "cortecs"
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assert api_key == "cortecs-explicit-key"
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assert api_base == "https://cortecs.internal.example/v1"
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def test_cortecs_is_available_in_add_model_form():
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fields_path = Path(litellm.__file__).parent / "proxy" / "public_endpoints" / "provider_create_fields.json"
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providers = json.loads(fields_path.read_text())
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cortecs = next(provider for provider in providers if provider["litellm_provider"] == "cortecs")
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assert cortecs["provider"] == "CORTECS"
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assert cortecs["provider_display_name"] == "Cortecs"
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assert cortecs["default_model_placeholder"] == "cortecs/gpt-6-sol"
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assert {field["key"]: field["required"] for field in cortecs["credential_fields"]} == {
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"api_base": False,
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"api_key": True,
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}
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def test_cortecs_supported_endpoints():
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matrix_path = Path(litellm.__file__).parent / "provider_endpoints_support_backup.json"
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providers = json.loads(matrix_path.read_text())["providers"]
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assert providers["cortecs"]["endpoints"] == {
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"chat_completions": True,
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"messages": True,
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"responses": True,
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"embeddings": False,
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"image_generations": False,
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"audio_transcriptions": False,
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"audio_speech": False,
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"moderations": False,
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"batches": False,
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"rerank": False,
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"a2a": False,
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"interactions": False,
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}
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def test_cortecs_chat_completion_request():
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with respx.mock() as upstream:
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route: Final = upstream.post("https://api.cortecs.ai/v1/chat/completions").respond(
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200,
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json={
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"id": "chatcmpl_cortecs",
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"object": "chat.completion",
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"created": 1_789_550_000,
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"model": "gpt-6-sol",
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"choices": [
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{
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"index": 0,
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"message": {"role": "assistant", "content": "Hello from Cortecs"},
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"finish_reason": "stop",
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}
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],
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"usage": {"prompt_tokens": 4, "completion_tokens": 3, "total_tokens": 7},
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},
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)
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response: Final = litellm.completion(
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model="cortecs/gpt-6-sol",
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messages=[{"role": "user", "content": "Say hello"}],
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api_key="cortecs-test-key",
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)
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request: Final = route.calls.last.request
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body: Final = json.loads(request.content)
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assert route.call_count == 1
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assert str(request.url) == "https://api.cortecs.ai/v1/chat/completions"
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assert request.headers["authorization"] == "Bearer cortecs-test-key"
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assert body["model"] == "gpt-6-sol"
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assert body["messages"] == [{"role": "user", "content": "Say hello"}]
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assert response.choices[0].message.content == "Hello from Cortecs"
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def test_cortecs_responses_request():
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with respx.mock() as upstream:
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route: Final = upstream.post("https://api.cortecs.ai/v1/responses").respond(
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200,
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json={
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"id": "resp_cortecs",
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"object": "response",
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"created_at": 1_789_550_000,
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"model": "gpt-6-sol",
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"status": "completed",
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"output": [
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{
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"id": "msg_cortecs",
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"type": "message",
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"role": "assistant",
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"status": "completed",
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"content": [{"type": "output_text", "text": "Hello from Cortecs", "annotations": []}],
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}
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],
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"usage": {"input_tokens": 4, "output_tokens": 3, "total_tokens": 7},
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},
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)
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response: Final = litellm.responses(
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model="cortecs/gpt-6-sol",
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input="Say hello",
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api_key="cortecs-test-key",
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)
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request: Final = route.calls.last.request
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body: Final = json.loads(request.content)
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assert route.call_count == 1
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assert str(request.url) == "https://api.cortecs.ai/v1/responses"
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assert request.headers["authorization"] == "Bearer cortecs-test-key"
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assert body["model"] == "gpt-6-sol"
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assert body["input"] == "Say hello"
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assert response.output[0].content[0].text == "Hello from Cortecs"
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@pytest.mark.asyncio
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async def test_cortecs_anthropic_messages_request(monkeypatch: pytest.MonkeyPatch):
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monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
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monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", LLMClientCache())
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with respx.mock() as upstream:
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route: Final = upstream.post("https://api.cortecs.ai/v1/messages").respond(
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200,
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json={
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"id": "msg_cortecs",
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"type": "message",
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"role": "assistant",
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"model": "gpt-6-sol",
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"content": [{"type": "text", "text": "Hello from Cortecs"}],
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"stop_reason": "end_turn",
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"stop_sequence": None,
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"usage": {"input_tokens": 4, "output_tokens": 3},
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},
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)
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response: Final = await litellm.anthropic.messages.acreate(
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model="cortecs/gpt-6-sol",
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messages=[{"role": "user", "content": "Say hello"}],
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max_tokens=32,
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api_key="cortecs-test-key",
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)
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request: Final = route.calls.last.request
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body: Final = json.loads(request.content)
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assert route.call_count == 1
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assert str(request.url) == "https://api.cortecs.ai/v1/messages"
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assert request.headers["authorization"] == "Bearer cortecs-test-key"
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assert request.headers["anthropic-version"] == "2023-06-01"
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assert body["model"] == "gpt-6-sol"
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assert body["messages"] == [{"role": "user", "content": "Say hello"}]
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assert response["content"][0]["text"] == "Hello from Cortecs"
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