use anyhow::Result;
use super::{
HarnessActorProbe, HarnessAttachHints, HarnessProbeInput, HarnessProbeResult, ProbeSource,
argv_value, csv_paths, parse_u64,
};
pub(crate) struct CodexProbe;
impl HarnessActorProbe for CodexProbe {
fn harness_name(&self) -> &'static str {
"codex"
}
fn matches(&self, input: &HarnessProbeInput) -> bool {
input.explicit_harness.as_deref() == Some(self.harness_name())
|| input.probe_metadata.contains_key("thread_id")
|| input.probe_metadata.contains_key("client_name")
|| input.env_hints.contains_key("CODEX_SANDBOX")
|| input
.argv
.as_ref()
.and_then(|argv| argv.first())
.is_some_and(|program| program.to_ascii_lowercase().contains("codex"))
}
fn probe(&self, input: &HarnessProbeInput) -> Result<HarnessProbeResult> {
let metadata = &input.probe_metadata;
let argv = input.argv.as_deref().unwrap_or(&[]);
let thread_id = metadata.get("thread_id").cloned();
let client_name = metadata
.get("client_name")
.cloned()
.or_else(|| metadata.get("client").cloned())
.or_else(|| {
input
.env_hints
.get("CODEX_INTERNAL_ORIGINATOR_OVERRIDE")
.cloned()
});
let model = metadata
.get("model")
.cloned()
.or_else(|| argv_value(argv, "--model"))
.or_else(|| input.env_hints.get("OPENAI_MODEL").cloned())
.or_else(|| input.current_model.clone());
let provider = metadata
.get("model_provider")
.cloned()
.or_else(|| input.explicit_provider.clone())
.or(Some("openai".to_string()))
.or_else(|| input.current_provider.clone());
let thinking_level = metadata
.get("model_reasoning_effort")
.cloned()
.or_else(|| metadata.get("reasoning_effort").cloned())
.or_else(|| input.env_hints.get("OPENAI_REASONING_EFFORT").cloned());
let probe_source = if thread_id.is_some() {
ProbeSource::AppProtocol
} else if client_name.is_some() {
ProbeSource::HookPayload
} else {
ProbeSource::ArgvEnv
};
Ok(HarnessProbeResult {
harness: Some("codex".to_string()),
provider,
model,
thinking_level,
policy: input
.explicit_policy
.clone()
.or_else(|| input.current_policy.clone()),
native_actor_key: thread_id.map(|id| format!("codex:thread:{id}")),
native_parent_actor_key: None,
native_instance_key: client_name.map(|id| format!("codex:client:{id}")),
usage_totals: proto::UsageTotals {
input_tokens: parse_u64(metadata.get("input_tokens")),
output_tokens: parse_u64(metadata.get("output_tokens")),
reasoning_tokens: parse_u64(metadata.get("reasoning_tokens")),
cache_creation_tokens: None,
cache_read_tokens: None,
tool_calls: metadata.get("tool_calls").and_then(|v| v.parse().ok()),
cost_micros_usd: parse_u64(metadata.get("cost_micros_usd")),
},
touched_paths: csv_paths(metadata.get("touched_paths")),
transcript_refs: Vec::new(),
attach_hints: HarnessAttachHints { root_actor: true },
confidence: Some(if matches!(probe_source, ProbeSource::AppProtocol) {
0.98
} else if matches!(probe_source, ProbeSource::HookPayload) {
0.85
} else {
0.55
}),
probe_source: Some(probe_source.as_str().to_string()),
..HarnessProbeResult::default()
})
}
}