Small zeta cli fixes (#42170)

* Fix a panic that happened because we lost the
`ContextRetrievalStarted` debug message, so we didn't assign `t0`.
* Write the edit prediction response log file as a markdown file
containing the text, not a JSON file. We mostly always want the text
content.

Release Notes:

- N/A

crates/zeta2/src/zeta2.rs

@@ -919,40 +919,10 @@ impl Zeta {
                         .ok();
                 }
 
-                let (mut res, usage) = response?;
-
+                let (res, usage) = response?;
                 let request_id = EditPredictionId(Uuid::from_str(&res.id)?);
-
-                let Some(choice) = res.choices.pop() else {
-                    return Ok((None, usage));
-                };
-
-                let output_text = match choice.message {
-                    open_ai::RequestMessage::Assistant {
-                        content: Some(open_ai::MessageContent::Plain(content)),
-                        ..
-                    } => content,
-                    open_ai::RequestMessage::Assistant {
-                        content: Some(open_ai::MessageContent::Multipart(mut content)),
-                        ..
-                    } => {
-                        if content.is_empty() {
-                            log::error!("No output from Baseten completion response");
-                            return Ok((None, usage));
-                        }
-
-                        match content.remove(0) {
-                            open_ai::MessagePart::Text { text } => text,
-                            open_ai::MessagePart::Image { .. } => {
-                                log::error!("Expected text, got an image");
-                                return Ok((None, usage));
-                            }
-                        }
-                    }
-                    _ => {
-                        log::error!("Invalid response message: {:?}", choice.message);
-                        return Ok((None, usage));
-                    }
+                let Some(output_text) = text_from_response(res) else {
+                    return Ok((None, usage))
                 };
 
                 let (edited_buffer_snapshot, edits) =
@@ -1216,6 +1186,10 @@ impl Zeta {
             return Task::ready(Ok(()));
         };
 
+        let app_version = AppVersion::global(cx);
+        let client = self.client.clone();
+        let llm_token = self.llm_token.clone();
+        let debug_tx = self.debug_tx.clone();
         let current_file_path: Arc<Path> = snapshot
             .file()
             .map(|f| f.full_path(cx).into())
@@ -1240,10 +1214,17 @@ impl Zeta {
             }
         };
 
-        let app_version = AppVersion::global(cx);
-        let client = self.client.clone();
-        let llm_token = self.llm_token.clone();
-        let debug_tx = self.debug_tx.clone();
+        if let Some(debug_tx) = &debug_tx {
+            debug_tx
+                .unbounded_send(ZetaDebugInfo::ContextRetrievalStarted(
+                    ZetaContextRetrievalStartedDebugInfo {
+                        project: project.clone(),
+                        timestamp: Instant::now(),
+                        search_prompt: prompt.clone(),
+                    },
+                ))
+                .ok();
+        }
 
         let (tool_schema, tool_description) = &*cloud_zeta2_prompt::retrieval_prompt::TOOL_SCHEMA;
 
@@ -1503,6 +1484,38 @@ impl Zeta {
     }
 }
 
+pub fn text_from_response(mut res: open_ai::Response) -> Option<String> {
+    let choice = res.choices.pop()?;
+    let output_text = match choice.message {
+        open_ai::RequestMessage::Assistant {
+            content: Some(open_ai::MessageContent::Plain(content)),
+            ..
+        } => content,
+        open_ai::RequestMessage::Assistant {
+            content: Some(open_ai::MessageContent::Multipart(mut content)),
+            ..
+        } => {
+            if content.is_empty() {
+                log::error!("No output from Baseten completion response");
+                return None;
+            }
+
+            match content.remove(0) {
+                open_ai::MessagePart::Text { text } => text,
+                open_ai::MessagePart::Image { .. } => {
+                    log::error!("Expected text, got an image");
+                    return None;
+                }
+            }
+        }
+        _ => {
+            log::error!("Invalid response message: {:?}", choice.message);
+            return None;
+        }
+    };
+    Some(output_text)
+}
+
 #[derive(Error, Debug)]
 #[error(
     "You must update to Zed version {minimum_version} or higher to continue using edit predictions."

crates/zeta_cli/src/example.rs

@@ -166,9 +166,7 @@ impl NamedExample {
                             REVISION_FIELD => {
                                 named.example.revision = value.trim().to_string();
                             }
-                            _ => {
-                                eprintln!("Warning: Unrecognized field `{field}`");
-                            }
+                            _ => {}
                         }
                     }
                 }
@@ -193,7 +191,6 @@ impl NamedExample {
                     } else if title.eq_ignore_ascii_case(EXPECTED_CONTEXT_HEADING) {
                         Section::ExpectedExcerpts
                     } else {
-                        eprintln!("Warning: Unrecognized section `{title:?}`");
                         Section::Other
                     };
                 }

crates/zeta_cli/src/predict.rs

@@ -148,14 +148,6 @@ pub async fn zeta2_predict(
                     &request.local_prompt.unwrap_or_default(),
                 )?;
 
-                let response = request.response_rx.await?.0.map_err(|err| anyhow!(err))?;
-                prediction_finished_at = Some(Instant::now());
-
-                fs::write(
-                    LOGS_DIR.join("prediction_response.json"),
-                    &serde_json::to_string_pretty(&response).unwrap(),
-                )?;
-
                 for included_file in request.request.included_files {
                     let insertions = vec![(request.request.cursor_point, CURSOR_MARKER)];
                     result
@@ -177,6 +169,12 @@ pub async fn zeta2_predict(
                         &mut excerpts_text,
                     );
                 }
+
+                let response = request.response_rx.await?.0.map_err(|err| anyhow!(err))?;
+                let response = zeta2::text_from_response(response).unwrap_or_default();
+                prediction_finished_at = Some(Instant::now());
+                fs::write(LOGS_DIR.join("prediction_response.md"), &response)?;
+
                 break;
             }
         }