eyrie

const (
	// AttrGenAISystem identifies the GenAI provider/system handling the request
	// (e.g. "openai", "anthropic", "gemini"). OTel: gen_ai.system.
	AttrGenAISystem = "gen_ai.system"

	// AttrGenAIRequestModel is the model name requested by the caller
	// (e.g. "gpt-4o", "claude-sonnet-4-5"). OTel: gen_ai.request.model.
	AttrGenAIRequestModel = "gen_ai.request.model"

	// AttrGenAIResponseModel is the model that actually served the response, when
	// the provider reports it. OTel: gen_ai.response.model.
	AttrGenAIResponseModel = "gen_ai.response.model"

	// AttrGenAIUsageInputTokens is the number of prompt/input tokens consumed.
	// OTel: gen_ai.usage.input_tokens.
	AttrGenAIUsageInputTokens = "gen_ai.usage.input_tokens"

	// AttrGenAIUsageOutputTokens is the number of completion/output tokens
	// generated. OTel: gen_ai.usage.output_tokens.
	AttrGenAIUsageOutputTokens = "gen_ai.usage.output_tokens"

	// AttrGenAIOperationName names the GenAI operation (e.g. "chat", "embeddings",
	// "tool_use"). OTel: gen_ai.operation.name.
	AttrGenAIOperationName = "gen_ai.operation.name"

	// AttrCostUSD is the computed monetary cost of the operation in US dollars.
	// Ecosystem extension to the OTel gen_ai.* set; key: cost.usd.
	AttrCostUSD = "cost.usd"

	// AttrToolName is the name of the tool/function invoked during an agent step.
	// OTel: gen_ai.tool.name (exposed here as the stable key "tool.name").
	AttrToolName = "tool.name"

	// AttrSessionID correlates spans belonging to the same logical session or
	// conversation. Ecosystem key: session.id.
	AttrSessionID = "session.id"

	// AttrAgentID identifies the agent instance producing the span. Ecosystem
	// key: agent.id (aligns with OTel gen_ai.agent.id).
	AttrAgentID = "agent.id"
)

const (
	SpanLLMChat     = "llm.chat"
	SpanLLMStream   = "llm.stream"
	SpanLLMRetry    = "llm.retry"
	SpanLLMCacheHit = "llm.cache_hit"
)

const (
	AttrLLMProvider     = "llm.provider"
	AttrLLMModel        = "llm.model"
	AttrLLMInputTokens  = "llm.input_tokens"
	AttrLLMOutputTokens = "llm.output_tokens"
	AttrLLMCostUSD      = "llm.cost_usd"
	AttrLLMLatencyMs    = "llm.latency_ms"
	AttrLLMStatus       = "llm.status"
)