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[WIP] Add support for GitHub Models #39

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7586b9c
add support for GitHub Models
dsyme Jul 17, 2025
5f4cdce
fix tests
dsyme Jul 17, 2025
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1 change: 1 addition & 0 deletions .env.example
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
ANTHROPIC_API_KEY="your-anthropic-api-key" # Needed if proxying *to* Anthropic
OPENAI_API_KEY="sk-..."
GEMINI_API_KEY="your-google-ai-studio-key"
GITHUB_TOKEN="your-github-token" # Needed if proxying *to* GitHub Models

# Optional: Provider Preference and Model Mapping
# Controls which provider (google or openai) is preferred for mapping haiku/sonnet.
Expand Down
53 changes: 48 additions & 5 deletions server.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,12 +15,14 @@
from datetime import datetime
import sys

litellm._turn_on_debug()

# Load environment variables from .env file
load_dotenv()

# Configure logging
logging.basicConfig(
level=logging.WARN, # Change to INFO level to show more details
level=logging.INFO, # Change to INFO level to show more details
format='%(asctime)s - %(levelname)s - %(message)s',
)
logger = logging.getLogger(__name__)
Expand Down Expand Up @@ -79,6 +81,7 @@ def format(self, record):

# Get API keys from environment
ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY")
GITHUB_TOKEN = os.environ.get("GITHUB_TOKEN")
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY")

Expand Down Expand Up @@ -112,6 +115,13 @@ def format(self, record):
"gemini-2.0-flash"
]

GITHUB_MODELS = [
"gpt-4.1-mini",
"gpt-4.1",
"gpt-4o",
"gpt-4o-mini",
]

# Helper function to clean schema for Gemini
def clean_gemini_schema(schema: Any) -> Any:
"""Recursively removes unsupported fields from a JSON schema for Gemini."""
Expand Down Expand Up @@ -202,6 +212,10 @@ def validate_model_field(cls, v, info): # Renamed to avoid conflict
clean_v = clean_v[7:]
elif clean_v.startswith('gemini/'):
clean_v = clean_v[7:]
elif clean_v.startswith('github/'):
clean_v = clean_v[7:]

logger.debug(f"📌 original_model: '{original_model}', clean_v: '{clean_v}'")

# --- Mapping Logic --- START ---
mapped = False
Expand All @@ -210,6 +224,9 @@ def validate_model_field(cls, v, info): # Renamed to avoid conflict
if PREFERRED_PROVIDER == "google" and SMALL_MODEL in GEMINI_MODELS:
new_model = f"gemini/{SMALL_MODEL}"
mapped = True
elif PREFERRED_PROVIDER == "github" and SMALL_MODEL in GITHUB_MODELS:
new_model = f"github/{SMALL_MODEL}"
mapped = True
else:
new_model = f"openai/{SMALL_MODEL}"
mapped = True
Expand All @@ -219,6 +236,9 @@ def validate_model_field(cls, v, info): # Renamed to avoid conflict
if PREFERRED_PROVIDER == "google" and BIG_MODEL in GEMINI_MODELS:
new_model = f"gemini/{BIG_MODEL}"
mapped = True
elif PREFERRED_PROVIDER == "github" and BIG_MODEL in GITHUB_MODELS:
new_model = f"github/{BIG_MODEL}"
mapped = True
else:
new_model = f"openai/{BIG_MODEL}"
mapped = True
Expand All @@ -231,13 +251,16 @@ def validate_model_field(cls, v, info): # Renamed to avoid conflict
elif clean_v in OPENAI_MODELS and not v.startswith('openai/'):
new_model = f"openai/{clean_v}"
mapped = True # Technically mapped to add prefix
elif clean_v in GITHUB_MODELS and not v.startswith('github/'):
new_model = f"github/{clean_v}"
mapped = True # Technically mapped to add prefix
# --- Mapping Logic --- END ---

if mapped:
logger.debug(f"📌 MODEL MAPPING: '{original_model}' ➡️ '{new_model}'")
else:
# If no mapping occurred and no prefix exists, log warning or decide default
if not v.startswith(('openai/', 'gemini/', 'anthropic/')):
if not v.startswith(('openai/', 'gemini/', 'anthropic/', 'github/')):
logger.warning(f"⚠️ No prefix or mapping rule for model: '{original_model}'. Using as is.")
new_model = v # Ensure we return the original if no rule applied

Expand Down Expand Up @@ -275,6 +298,8 @@ def validate_model_token_count(cls, v, info): # Renamed to avoid conflict
clean_v = clean_v[7:]
elif clean_v.startswith('gemini/'):
clean_v = clean_v[7:]
elif clean_v.startswith('github/'):
clean_v = clean_v[7:]

# --- Mapping Logic --- START ---
mapped = False
Expand All @@ -283,6 +308,9 @@ def validate_model_token_count(cls, v, info): # Renamed to avoid conflict
if PREFERRED_PROVIDER == "google" and SMALL_MODEL in GEMINI_MODELS:
new_model = f"gemini/{SMALL_MODEL}"
mapped = True
elif PREFERRED_PROVIDER == "github" and SMALL_MODEL in GITHUB_MODELS:
new_model = f"github/{SMALL_MODEL}"
mapped = True
else:
new_model = f"openai/{SMALL_MODEL}"
mapped = True
Expand All @@ -292,6 +320,9 @@ def validate_model_token_count(cls, v, info): # Renamed to avoid conflict
if PREFERRED_PROVIDER == "google" and BIG_MODEL in GEMINI_MODELS:
new_model = f"gemini/{BIG_MODEL}"
mapped = True
elif PREFERRED_PROVIDER == "github" and BIG_MODEL in GITHUB_MODELS:
new_model = f"github/{BIG_MODEL}"
mapped = True
else:
new_model = f"openai/{BIG_MODEL}"
mapped = True
Expand All @@ -304,12 +335,15 @@ def validate_model_token_count(cls, v, info): # Renamed to avoid conflict
elif clean_v in OPENAI_MODELS and not v.startswith('openai/'):
new_model = f"openai/{clean_v}"
mapped = True # Technically mapped to add prefix
elif clean_v in GITHUB_MODELS and not v.startswith('github/'):
new_model = f"github/{clean_v}"
mapped = True # Technically mapped to add prefix
# --- Mapping Logic --- END ---

if mapped:
logger.debug(f"📌 TOKEN COUNT MAPPING: '{original_model}' ➡️ '{new_model}'")
else:
if not v.startswith(('openai/', 'gemini/', 'anthropic/')):
if not v.startswith(('openai/', 'gemini/', 'anthropic/', 'github/')):
logger.warning(f"⚠️ No prefix or mapping rule for token count model: '{original_model}'. Using as is.")
new_model = v # Ensure we return the original if no rule applied

Expand Down Expand Up @@ -533,7 +567,7 @@ def convert_anthropic_to_litellm(anthropic_request: MessagesRequest) -> Dict[str

# Cap max_tokens for OpenAI models to their limit of 16384
max_tokens = anthropic_request.max_tokens
if anthropic_request.model.startswith("openai/") or anthropic_request.model.startswith("gemini/"):
if anthropic_request.model.startswith("openai/") or anthropic_request.model.startswith("github/") or anthropic_request.model.startswith("gemini/"):
max_tokens = min(max_tokens, 16384)
logger.debug(f"Capping max_tokens to 16384 for OpenAI/Gemini model (original value: {anthropic_request.max_tokens})")

Expand Down Expand Up @@ -628,6 +662,8 @@ def convert_litellm_to_anthropic(litellm_response: Union[Dict[str, Any], Any],
clean_model = clean_model[len("anthropic/"):]
elif clean_model.startswith("openai/"):
clean_model = clean_model[len("openai/"):]
elif clean_model.startswith("github/"):
clean_model = clean_model[len("github/"):]

# Check if this is a Claude model (which supports content blocks)
is_claude_model = clean_model.startswith("claude-")
Expand Down Expand Up @@ -1097,6 +1133,8 @@ async def create_message(
clean_model = clean_model[len("anthropic/"):]
elif clean_model.startswith("openai/"):
clean_model = clean_model[len("openai/"):]
elif clean_model.startswith("github/"):
clean_model = clean_model[len("github/"):]

logger.debug(f"📊 PROCESSING REQUEST: Model={request.model}, Stream={request.stream}")

Expand All @@ -1110,12 +1148,15 @@ async def create_message(
elif request.model.startswith("gemini/"):
litellm_request["api_key"] = GEMINI_API_KEY
logger.debug(f"Using Gemini API key for model: {request.model}")
elif request.model.startswith("github/"):
litellm_request["api_key"] = GITHUB_TOKEN
logger.debug(f"Using GITHUB_TOKEN for model: {request.model}")
else:
litellm_request["api_key"] = ANTHROPIC_API_KEY
logger.debug(f"Using Anthropic API key for model: {request.model}")

# For OpenAI models - modify request format to work with limitations
if "openai" in litellm_request["model"] and "messages" in litellm_request:
if ("openai" in litellm_request["model"] or "github" in litellm_request["model"]) and "messages" in litellm_request:
logger.debug(f"Processing OpenAI model request: {litellm_request['model']}")

# For OpenAI models, we need to convert content blocks to simple strings
Expand Down Expand Up @@ -1354,6 +1395,8 @@ async def count_tokens(
clean_model = clean_model[len("anthropic/"):]
elif clean_model.startswith("openai/"):
clean_model = clean_model[len("openai/"):]
elif clean_model.startswith("github/"):
clean_model = clean_model[len("github/"):]

# Convert the messages to a format LiteLLM can understand
converted_request = convert_anthropic_to_litellm(
Expand Down
2 changes: 1 addition & 1 deletion tests.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@
ANTHROPIC_API_URL = "https://api.anthropic.com/v1/messages"
PROXY_API_URL = "http://localhost:8082/v1/messages"
ANTHROPIC_VERSION = "2023-06-01"
MODEL = "claude-3-sonnet-20240229" # Change to your preferred model
MODEL = "claude-3-7-sonnet-20250219" # Change to your preferred model

# Headers
anthropic_headers = {
Expand Down