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Code Issues Projects Releases Packages Wiki Activity Actions 3

add support for using custom upstream llm (#365)

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Adil Hafeez 2025-01-17 18:25:55 -08:00 • committed by GitHub
parent 3fc21de60c
commit 07ef3149b8
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13 changed files with 263 additions and 52 deletions
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42
arch/tools/cli/config_generator.py
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@ -16,18 +16,6 @@ ARCH_CONFIG_SCHEMA_FILE = os.getenv(
)
def add_secret_key_to_llm_providers(config_yaml):
llm_providers = []
for llm_provider in config_yaml.get("llm_providers", []):
access_key_env_var = llm_provider.get("access_key", False)
access_key_value = os.getenv(access_key_env_var, False)
if access_key_env_var and access_key_value:
llm_provider["access_key"] = access_key_value
llm_providers.append(llm_provider)
config_yaml["llm_providers"] = llm_providers
return config_yaml
def validate_and_render_schema():
env = Environment(loader=FileSystemLoader("./"))
template = env.get_template("envoy.template.yaml")
@ -70,18 +58,42 @@ def validate_and_render_schema():
f"Unknown endpoint {name}, please add it in endpoints section in your arch_config.yaml file"
)
arch_llm_providers = config_yaml["llm_providers"]
arch_tracing = config_yaml.get("tracing", {})
llms_with_endpoint = []
updated_llm_providers = []
for llm_provider in config_yaml["llm_providers"]:
provider = None
if llm_provider.get("provider") and llm_provider.get("provider_interface"):
raise Exception(
"Please provide either provider or provider_interface, not both"
)
if llm_provider.get("provider"):
provider = llm_provider["provider"]
llm_provider["provider_interface"] = provider
del llm_provider["provider"]
updated_llm_providers.append(llm_provider)
if llm_provider.get("endpoint", None):
endpoint = llm_provider["endpoint"]
if len(endpoint.split(":")) > 1:
llm_provider["endpoint"] = endpoint.split(":")[0]
llm_provider["port"] = int(endpoint.split(":")[1])
llms_with_endpoint.append(llm_provider)
config_yaml["llm_providers"] = updated_llm_providers
arch_config_string = yaml.dump(config_yaml)
config_yaml["mode"] = "llm"
arch_llm_config_string = yaml.dump(config_yaml)
data = {
"arch_config": arch_config_string,
"arch_llm_config": arch_llm_config_string,
"arch_clusters": inferred_clusters,
"arch_llm_providers": arch_llm_providers,
"arch_llm_providers": config_yaml["llm_providers"],
"arch_tracing": arch_tracing,
"local_llms": llms_with_endpoint,
}
rendered = template.render(data)