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draft commit to add support for xAI, LambdaAI, TogehterAI, AzureOpenAI
This commit is contained in:
parent
b56311f458
commit
79ff4bb164
7 changed files with 170 additions and 24 deletions
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@ -127,7 +127,7 @@ static_resources:
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{% for provider in arch_llm_providers %}
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# if endpoint is set then use custom cluster for upstream llm
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{% if provider.endpoint %}
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{% set llm_cluster_name = provider.name %}
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{% set llm_cluster_name = provider.cluster_name %}
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{% else %}
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{% set llm_cluster_name = provider.provider_interface %}
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{% endif %}
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@ -421,7 +421,7 @@ static_resources:
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{% for provider in arch_llm_providers %}
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# if endpoint is set then use custom cluster for upstream llm
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{% if provider.endpoint %}
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{% set llm_cluster_name = provider.name %}
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{% set llm_cluster_name = provider.cluster_name %}
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{% else %}
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{% set llm_cluster_name = provider.provider_interface %}
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{% endif %}
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@ -576,6 +576,82 @@ static_resources:
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tls_minimum_protocol_version: TLSv1_2
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tls_maximum_protocol_version: TLSv1_3
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- name: xai
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connect_timeout: 0.5s
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type: LOGICAL_DNS
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dns_lookup_family: V4_ONLY
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: xai
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: api.x.ai
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port_value: 443
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hostname: "api.x.ai"
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transport_socket:
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name: envoy.transport_sockets.tls
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typed_config:
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"@type": type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.UpstreamTlsContext
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sni: api.x.ai
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common_tls_context:
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tls_params:
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tls_minimum_protocol_version: TLSv1_2
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tls_maximum_protocol_version: TLSv1_3
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- name: together_ai
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connect_timeout: 0.5s
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type: LOGICAL_DNS
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dns_lookup_family: V4_ONLY
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: xai
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: api.together.xyz
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port_value: 443
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hostname: "api.together.xyz"
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transport_socket:
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name: envoy.transport_sockets.tls
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typed_config:
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"@type": type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.UpstreamTlsContext
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sni: api.together.xyz
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common_tls_context:
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tls_params:
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tls_minimum_protocol_version: TLSv1_2
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tls_maximum_protocol_version: TLSv1_3
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- name: lambda_ai
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connect_timeout: 0.5s
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type: LOGICAL_DNS
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dns_lookup_family: V4_ONLY
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: xai
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: api.lambda.ai
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port_value: 443
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hostname: "api.lambda.ai"
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transport_socket:
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name: envoy.transport_sockets.tls
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typed_config:
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"@type": type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.UpstreamTlsContext
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sni: api.lambda.ai
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common_tls_context:
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tls_params:
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tls_minimum_protocol_version: TLSv1_2
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tls_maximum_protocol_version: TLSv1_3
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- name: gemini
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connect_timeout: 0.5s
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type: LOGICAL_DNS
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@ -742,13 +818,13 @@ static_resources:
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{% endfor %}
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{% for local_llm_provider in local_llms %}
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- name: {{ local_llm_provider.name }}
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- name: {{ local_llm_provider.cluster_name }}
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connect_timeout: 0.5s
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type: LOGICAL_DNS
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dns_lookup_family: V4_ONLY
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: {{ local_llm_provider.name }}
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cluster_name: {{ local_llm_provider.cluster_name }}
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endpoints:
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- lb_endpoints:
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- endpoint:
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@ -14,6 +14,10 @@ SUPPORTED_PROVIDERS = [
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"openai",
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"gemini",
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"anthropic",
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"together_ai",
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"lambda_ai",
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"azure_openai",
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"xai",
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]
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@ -92,15 +96,12 @@ def validate_and_render_schema():
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arch_tracing = config_yaml.get("tracing", {})
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llms_with_endpoint = []
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updated_llm_providers = []
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llm_provider_name_set = set()
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llms_with_usage = []
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model_name_keys = set()
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model_usage_name_keys = set()
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for llm_provider in config_yaml["llm_providers"]:
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if llm_provider.get("usage", None):
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llms_with_usage.append(llm_provider["name"])
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if llm_provider.get("name") in llm_provider_name_set:
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raise Exception(
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f"Duplicate llm_provider name {llm_provider.get('name')}, please provide unique name for each llm_provider"
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@ -111,10 +112,13 @@ def validate_and_render_schema():
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raise Exception(
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f"Duplicate model name {model_name}, please provide unique model name for each llm_provider"
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)
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model_name_keys.add(model_name)
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if llm_provider.get("name") is None:
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llm_provider["name"] = model_name
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llm_provider_name_set.add(llm_provider.get("name"))
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model_name_tokens = model_name.split("/")
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if len(model_name_tokens) < 2:
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raise Exception(
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@ -151,16 +155,6 @@ def validate_and_render_schema():
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llm_provider["model"] = model_id
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llm_provider["provider_interface"] = provider
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llm_provider_name_set.add(llm_provider.get("name"))
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provider = None
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if llm_provider.get("provider") and llm_provider.get("provider_interface"):
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raise Exception(
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"Please provide either provider or provider_interface, not both"
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)
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if llm_provider.get("provider"):
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provider = llm_provider["provider"]
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llm_provider["provider_interface"] = provider
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del llm_provider["provider"]
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updated_llm_providers.append(llm_provider)
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if llm_provider.get("base_url", None):
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@ -189,6 +183,9 @@ def validate_and_render_schema():
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llm_provider["endpoint"] = endpoint
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llm_provider["port"] = port
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llm_provider["protocol"] = protocol
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llm_provider["cluster_name"] = (
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provider + "_" + endpoint
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) # make name unique by appending endpoint
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llms_with_endpoint.append(llm_provider)
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if len(model_usage_name_keys) > 0:
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@ -167,6 +167,14 @@ pub enum LlmProviderType {
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OpenAI,
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#[serde(rename = "gemini")]
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Gemini,
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#[serde(rename = "xai")]
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XAI,
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#[serde(rename = "together_ai")]
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TogetherAI,
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#[serde(rename = "lambda_ai")]
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LambdaAI,
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#[serde(rename = "azure_openai")]
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AzureOpenAI,
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}
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impl Display for LlmProviderType {
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@ -179,6 +187,10 @@ impl Display for LlmProviderType {
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LlmProviderType::Gemini => write!(f, "gemini"),
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LlmProviderType::Mistral => write!(f, "mistral"),
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LlmProviderType::OpenAI => write!(f, "openai"),
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LlmProviderType::XAI => write!(f, "xai"),
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LlmProviderType::TogetherAI => write!(f, "together_ai"),
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LlmProviderType::LambdaAI => write!(f, "lambda_ai"),
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LlmProviderType::AzureOpenAI => write!(f, "azure_openai"),
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}
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}
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}
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@ -217,6 +229,7 @@ pub struct LlmProvider {
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pub rate_limits: Option<LlmRatelimit>,
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pub usage: Option<String>,
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pub routing_preferences: Option<Vec<RoutingPreference>>,
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pub cluster_name: Option<String>,
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}
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pub trait IntoModels {
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@ -256,6 +269,7 @@ impl Default for LlmProvider {
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rate_limits: None,
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usage: None,
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routing_preferences: None,
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cluster_name: None,
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}
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}
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}
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@ -62,7 +62,7 @@ impl SupportedAPIs {
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}
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}
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pub fn target_endpoint_for_provider(&self, provider_id: &ProviderId, request_path: &str) -> String {
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pub fn target_endpoint_for_provider(&self, provider_id: &ProviderId, request_path: &str, model_id: &str) -> String {
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let default_endpoint = "/v1/chat/completions".to_string();
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match self {
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SupportedAPIs::AnthropicMessagesAPI(AnthropicApi::Messages) => {
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@ -80,6 +80,13 @@ impl SupportedAPIs {
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default_endpoint
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}
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}
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ProviderId::AzureOpenAI => {
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if request_path.starts_with("/v1/") {
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format!("/openai/deployments/{}/chat/completions?api-version=2025-01-01-preview", model_id)
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} else {
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default_endpoint
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}
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}
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ProviderId::Gemini => {
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if request_path.starts_with("/v1/") {
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"/v1beta/openai/chat/completions".to_string()
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@ -13,6 +13,10 @@ pub enum ProviderId {
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Anthropic,
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GitHub,
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Arch,
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AzureOpenAI,
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XAI,
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TogetherAI,
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LambdaAI,
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}
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impl From<&str> for ProviderId {
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@ -26,6 +30,10 @@ impl From<&str> for ProviderId {
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"anthropic" => ProviderId::Anthropic,
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"github" => ProviderId::GitHub,
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"arch" => ProviderId::Arch,
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"azure_openai" => ProviderId::AzureOpenAI,
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"xai" => ProviderId::XAI,
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"together_ai" => ProviderId::TogetherAI,
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"lambda_ai" => ProviderId::LambdaAI,
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_ => panic!("Unknown provider: {}", value),
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}
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}
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@ -40,8 +48,31 @@ impl ProviderId {
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(ProviderId::Anthropic, SupportedAPIs::OpenAIChatCompletions(OpenAIApi::ChatCompletions)) => SupportedAPIs::OpenAIChatCompletions(OpenAIApi::ChatCompletions),
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// OpenAI-compatible providers only support OpenAI chat completions
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(ProviderId::OpenAI | ProviderId::Groq | ProviderId::Mistral | ProviderId::Deepseek | ProviderId::Arch | ProviderId::Gemini | ProviderId::GitHub, SupportedAPIs::AnthropicMessagesAPI(_)) => SupportedAPIs::OpenAIChatCompletions(OpenAIApi::ChatCompletions),
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(ProviderId::OpenAI | ProviderId::Groq | ProviderId::Mistral | ProviderId::Deepseek | ProviderId::Arch | ProviderId::Gemini | ProviderId::GitHub, SupportedAPIs::OpenAIChatCompletions(_)) => SupportedAPIs::OpenAIChatCompletions(OpenAIApi::ChatCompletions),
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(ProviderId::OpenAI
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| ProviderId::Groq
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| ProviderId::Mistral
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| ProviderId::Deepseek
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| ProviderId::Arch
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| ProviderId::Gemini
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| ProviderId::GitHub
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| ProviderId::AzureOpenAI
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| ProviderId::XAI
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| ProviderId::TogetherAI
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| ProviderId::LambdaAI,
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SupportedAPIs::AnthropicMessagesAPI(_)) => SupportedAPIs::OpenAIChatCompletions(OpenAIApi::ChatCompletions),
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(ProviderId::OpenAI
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| ProviderId::Groq
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| ProviderId::Mistral
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| ProviderId::Deepseek
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| ProviderId::Arch
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| ProviderId::Gemini
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| ProviderId::GitHub
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| ProviderId::AzureOpenAI
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| ProviderId::XAI
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| ProviderId::TogetherAI
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| ProviderId::LambdaAI,
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SupportedAPIs::OpenAIChatCompletions(_)) => SupportedAPIs::OpenAIChatCompletions(OpenAIApi::ChatCompletions),
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}
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}
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}
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@ -57,6 +88,10 @@ impl Display for ProviderId {
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ProviderId::Anthropic => write!(f, "Anthropic"),
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ProviderId::GitHub => write!(f, "GitHub"),
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ProviderId::Arch => write!(f, "Arch"),
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ProviderId::AzureOpenAI => write!(f, "azure_openai"),
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ProviderId::XAI => write!(f, "xai"),
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ProviderId::TogetherAI => write!(f, "together_ai"),
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ProviderId::LambdaAI => write!(f, "lambda_ai"),
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}
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}
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}
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@ -98,8 +98,14 @@ impl StreamContext {
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fn update_upstream_path(&mut self, request_path: &str) {
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let hermes_provider_id = self.llm_provider().to_provider_id();
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if let Some(api) = &self.client_api {
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let target_endpoint =
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api.target_endpoint_for_provider(&hermes_provider_id, request_path);
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let target_endpoint = api.target_endpoint_for_provider(
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&hermes_provider_id,
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request_path,
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self.llm_provider()
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.model
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.as_ref()
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.unwrap_or(&"".to_string()),
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);
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if target_endpoint != request_path {
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self.set_http_request_header(":path", Some(&target_endpoint));
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}
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@ -622,7 +628,12 @@ impl HttpContext for StreamContext {
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if self.llm_provider().endpoint.is_some() {
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self.add_http_request_header(
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ARCH_ROUTING_HEADER,
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&self.llm_provider().name.to_string(),
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&self
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.llm_provider()
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.cluster_name
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.as_ref()
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.unwrap()
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.to_string(),
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);
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} else {
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self.add_http_request_header(
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@ -25,6 +25,12 @@ llm_providers:
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- model: anthropic/claude-3-haiku-20240307
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access_key: $ANTHROPIC_API_KEY
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# Azure OpenAI Models
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- model: azure_openai/gpt-5-mini
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access_key: $AZURE_API_KEY
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base_url: https://katanemo.openai.azure.com
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# Model aliases - friendly names that map to actual provider names
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model_aliases:
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