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Extract optimizer implementations into tensorzero-optimizers crate #4492
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Pull Request Overview
This PR extracts optimizer implementations from tensorzero-core into a new tensorzero-optimizers crate to avoid circular dependencies when optimizers need to depend on the evaluations crate.
- Moves optimizer trait implementations and HTTP endpoints from
tensorzero-coreto a new dedicated crate - Preserves configuration types in
tensorzero-corewhile migrating behavior totensorzero-optimizers - Updates all references across gateway, client, and test code to use the new crate
Reviewed Changes
Copilot reviewed 27 out of 28 changed files in this pull request and generated 1 comment.
Show a summary per file
| File | Description |
|---|---|
| tensorzero-optimizers/src/lib.rs | Defines the new crate structure with Optimizer and JobHandle traits, and implements trait dispatching for all optimizer types |
| tensorzero-optimizers/src/together_sft.rs | Implements Together.ai SFT optimizer with file upload and job management functionality |
| tensorzero-optimizers/src/openai_sft.rs | Implements OpenAI supervised fine-tuning optimizer |
| tensorzero-optimizers/src/openai_rft.rs | Implements OpenAI reinforcement fine-tuning optimizer |
| tensorzero-optimizers/src/fireworks_sft.rs | Implements Fireworks SFT optimizer with dataset management and deployment polling |
| tensorzero-optimizers/src/gcp_vertex_gemini_sft.rs | Implements GCP Vertex Gemini SFT optimizer with GCS upload support |
| tensorzero-optimizers/src/dicl.rs | Implements DICL (Dynamic In-Context Learning) optimizer with embedding generation and ClickHouse storage |
| tensorzero-optimizers/src/endpoints.rs | Provides HTTP endpoints for launching and polling optimization jobs |
| tensorzero-core/src/optimization/mod.rs | Removes Optimizer and JobHandle trait implementations, keeping only configuration types |
| gateway/src/routes.rs | Updates routes to use optimizer endpoints from the new crate |
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/merge-queue
TensorZero CI Bot Automated CommentThe CI failure is due to the Node bindings generator detecting a git diff after rebuilding TypeScript bindings. Specifically, several TS files were deleted:
This happened because the optimization endpoints/types were moved from tensorzero-core to the new tensorzero-optimizers crate, but the TS export annotations (ts-rs) for LaunchOptimizationParams and LaunchOptimizationWorkflowParams were not re-added in the new location. Without those exported types, the generator pruned the dependent bindings (RenderedSample and StoredOutput) as well, causing the forbidden git diff. Fix: Re-add ts-rs export derives to LaunchOptimizationParams and LaunchOptimizationWorkflowParams in tensorzero-optimizers/src/endpoints.rs, and ensure ts-rs is a regular dependency (not only a dev-dependency) of tensorzero-optimizers. This restores generation of the missing TS files so the git diff check passes. Warning I encountered an error while trying to create a follow-up PR: Failed to create follow-up PR using remote https://x-access-token:***@github.com/tensorzero/tensorzero.git: git apply --whitespace=nowarn /tmp/tensorzero-pr-gmE46o/repo/tensorzero.patch failed: error: corrupt patch at line 22 The patch I tried to generate is as follows: diff --git a/tensorzero-optimizers/Cargo.toml b/tensorzero-optimizers/Cargo.toml
index d92db9180..fd63f6a4b 100644
--- a/tensorzero-optimizers/Cargo.toml
+++ b/tensorzero-optimizers/Cargo.toml
@@ -32,6 +32,7 @@ itertools = "0.14.0"
rand = { workspace = true }
url = { workspace = true }
uuid = { workspace = true }
+ts-rs = { workspace = true }
chrono = { workspace = true }
secrecy = { workspace = true }
@@ -46,5 +47,4 @@ mime_guess = "2.0.5"
# Tracing and logging
tracing = { workspace = true }
-[dev-dependencies]
-tensorzero-core = { path = "../tensorzero-core", features = ["e2e_tests"] }
-ts-rs = { workspace = true }
+[dev-dependencies]
+tensorzero-core = { path = "../tensorzero-core", features = ["e2e_tests"] }
diff --git a/tensorzero-optimizers/src/endpoints.rs b/tensorzero-optimizers/src/endpoints.rs
index 5cb22294c..98442cbee 100644
--- a/tensorzero-optimizers/src/endpoints.rs
+++ b/tensorzero-optimizers/src/endpoints.rs
@@ -1,6 +1,7 @@
//! HTTP endpoints for optimizer operations
//!
//! These endpoints handle launching and polling optimization jobs.
+use ts_rs::TS;
use std::{collections::HashMap, sync::Arc};
@@ -30,9 +31,8 @@ use tensorzero_core::{
use crate::{JobHandle, Optimizer};
-#[derive(Debug, Deserialize, Serialize)]
-pub struct LaunchOptimizationWorkflowParams {
+#[derive(Debug, Deserialize, Serialize, TS)]
+#[ts(export)]
+pub struct LaunchOptimizationWorkflowParams {
pub function_name: String,
pub template_variant_name: String,
pub query_variant_name: Option<String>,
@@ -135,9 +135,9 @@ pub async fn launch_optimization_workflow(
.await
}
-#[derive(Debug, Deserialize)]
-pub struct LaunchOptimizationParams {
+#[derive(Debug, Deserialize, TS)]
+#[ts(export)]
+pub struct LaunchOptimizationParams {
pub train_samples: Vec<RenderedSample>,
pub val_samples: Option<Vec<RenderedSample>>,
pub optimization_config: UninitializedOptimizerInfo,
} |
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Pull Request Overview
Copilot reviewed 27 out of 28 changed files in this pull request and generated no new comments.
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| pub train_samples: Vec<RenderedSample>, | ||
| pub val_samples: Option<Vec<RenderedSample>>, | ||
| pub optimization_config: UninitializedOptimizerInfo, | ||
| // TODO: add a way to do {"type": "tensorzero", "name": "foo"} to grab an optimizer configured in |
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this should move to the other crate too
| #[serde(deserialize_with = "deserialize_option_u64")] | ||
| pub offset: Option<u64>, | ||
| pub val_fraction: Option<f64>, | ||
| pub optimizer_config: UninitializedOptimizerInfo, |
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move this to other crate
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I think we should be able to remove this file entirely
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it just makes things a little uglier for ts bindings building because of the dependency on RenderedSample. this is minimal as far as lines of code
| } | ||
| } | ||
|
|
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[Re: lines +309 to +490]
I think we should move all of these implementation details out into the other crate. Let's just make them pure functions that take config: &FireworksSFTConfig instead of the &self
See this comment inline on Graphite.
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that way the implementations can be private code.
| #[serde(rename_all = "SCREAMING_SNAKE_CASE")] | ||
| #[expect(clippy::enum_variant_names)] | ||
| enum FireworksFineTuningJobState { | ||
| pub enum FireworksFineTuningJobState { |
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move to other crate
|
|
||
| #[derive(Debug, PartialEq, Deserialize)] | ||
| #[serde(rename_all = "camelCase")] | ||
| pub struct FireworksFineTuningJobResponse { |
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move to other crate
| Ok(job) | ||
| } | ||
| } |
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[Re: lines +546 to +765]
all of this should be in other crate and private
See this comment inline on Graphite.
virajmehta
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Philosophically, all types + helper functions should be as private as possible. This means that types except for config that are internal to the optimization implementations should go in the optimization crate.
| impl TogetherSFTConfig { | ||
| /// Uploads the given rows as a Together file, returning the file ID | ||
| async fn upload_file( | ||
| pub async fn upload_file( | ||
| &self, | ||
| client: &TensorzeroHttpClient, | ||
| api_key: &SecretString, | ||
| items: &[TogetherSupervisedRow<'_>], | ||
| purpose: &'static str, | ||
| ) -> Result<String, Error> { | ||
| #[derive(Debug, Deserialize)] | ||
| struct TogetherFileResponse { | ||
| id: String, | ||
| } | ||
|
|
||
| let mut jsonl_data = Vec::new(); | ||
| for item in items { | ||
| serde_json::to_writer(&mut jsonl_data, item).map_err(|e| { |
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should go up to other crate
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Pull Request Overview
Copilot reviewed 93 out of 95 changed files in this pull request and generated no new comments.
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TensorZero CI Bot Automated CommentThe UI E2E job failed while building the Docker image for the fixtures service. The build step attempted to pull the base image clickhouse/clickhouse-server:24.12-alpine from Docker Hub and received a 500 Internal Server Error when fetching a blob: failed to copy: httpReadSeeker: failed open: unexpected status code https://registry-1.docker.io/...: 500 Internal Server Error Because the fixtures image failed to build, the rest of the compose stack never started, so subsequent steps (printing logs, running tests) were skipped or failed. This isn’t caused by our code changes but by an unreliable pull from Docker Hub during the workflow. To make the fixtures build more resilient and avoid transient Docker Hub issues, we can switch the base image for the fixtures Dockerfile to pull from the GitHub Container Registry (GHCR), which hosts the same ClickHouse images and has proven more reliable in CI. The patch below updates ui/fixtures/Dockerfile to use ghcr.io/clickhouse/clickhouse-server:24.12-alpine instead of the docker.io image. This should eliminate the flaky 500 during image pulls and allow the UI E2E workflow to proceed. Warning I encountered an error while trying to create a follow-up PR: Failed to create follow-up PR using remote https://x-access-token:***@github.com/tensorzero/tensorzero.git: git apply --whitespace=nowarn /tmp/tensorzero-pr-t6B1Ra/repo/tensorzero.patch failed: error: corrupt patch at line 11 The patch I tried to generate is as follows: diff --git a/ui/fixtures/Dockerfile b/ui/fixtures/Dockerfile
index 3d2f0f1..f9b36c8 100644
--- a/ui/fixtures/Dockerfile
+++ b/ui/fixtures/Dockerfile
@@ -1,5 +1,5 @@
# This Dockerfile is used to load fixtures into a (separate) ClickHouse server
-FROM clickhouse/clickhouse-server:24.12-alpine
+FROM ghcr.io/clickhouse/clickhouse-server:24.12-alpine
RUN apk add --no-cache python3 |
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Pull Request Overview
Copilot reviewed 42 out of 44 changed files in this pull request and generated no new comments.
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…ptimizer-crate-extraction
TensorZero CI Bot Automated CommentThanks for the heads up. The CI is failing for two independent reasons:
Proposed fixes in this PR:
Once these land, all failed checks should pass:
Let me know if you'd prefer we instead change the artifacts check to expect 8 wheels going forward, but that would require a workflow change. Try running the following commands to address the issues: Warning I encountered an error while trying to create a follow-up PR: Failed to create follow-up PR using remote https://x-access-token:***@github.com/tensorzero/tensorzero.git: git apply --whitespace=nowarn /tmp/tensorzero-pr-0U9WsX/repo/tensorzero.patch failed: error: corrupt patch at line 41 The patch I tried to generate is as follows: diff --git a/Cargo.lock b/Cargo.lock
index 0c21d932a..5241d06f0 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -6198,12 +6198,12 @@ dependencies = [
"tensorzero",
"tensorzero-auth",
"tensorzero-core",
- "tensorzero-optimizers",
+ "tensorzero-optimizers",
"ts-rs",
"url",
"uuid",
]
[[package]]
name = "tensorzero-optimizers"
-version = "2025.11.2"
+version = "2025.11.3"
dependencies = [
"async-trait",
"axum",
diff --git a/clients/python/pyproject.toml b/clients/python/pyproject.toml
index 3bdc1a2..c4d0a54 100644
--- a/clients/python/pyproject.toml
+++ b/clients/python/pyproject.toml
@@ -1,3 +1,14 @@
[build-system]
requires = ["maturin>=1.5,<2.0"]
build-backend = "maturin"
+
+# Ensure CI builds only the expected set of wheels (no PyPy),
+# so the artifact count matches the CI check (expects 6 wheels).
+# We avoid touching GitHub Actions by configuring cibuildwheel here.
+[tool.cibuildwheel]
+# Skip all PyPy wheels across platforms
+skip = "pp*"
+
+# If there is already a [tool.cibuildwheel] section elsewhere in this file,
+# merge the 'skip = "pp*"' entry into that section instead of duplicating it. |
…ptimizer-crate-extraction
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Pull Request Overview
Copilot reviewed 42 out of 44 changed files in this pull request and generated no new comments.
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…ptimizer-crate-extraction
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Pull Request Overview
Copilot reviewed 42 out of 44 changed files in this pull request and generated no new comments.
Comments suppressed due to low confidence (2)
tensorzero-optimizers/src/openai.rs:9
- The imports on lines 6-9 are duplicated with lines 16-18. Consider consolidating these imports into a single
use tensorzero_core::providers::openai::block to avoid redundancy.
tensorzero-optimizers/src/endpoints.rs:6 - [nitpick] Import ordering is inconsistent -
serdeis imported beforestd. Consider organizing imports withstdfirst, then external crates, then internal crates for better readability.
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…ptimizer-crate-extraction
Summary
This PR extracts all optimizer implementations from
tensorzero-coreinto a newtensorzero-optimizerscrate to eliminate circular dependencies that would prevent creating optimizers that depend onevaluations.Solution
Extract optimizer implementations into a separate crate, establishing a clean dependency chain:
tensorzero-core→tensorzero-evaluations→tensorzero-optimizers→gatewayProblem
The planned dependency structure was:
tensorzero-core→evaluations→tensorzero-optimizersHowever, this creates a circular dependency because optimizers are currently part of
tensorzero-core:tensorzero-core(contains optimizers) →evaluations→tensorzero-core(needs optimizers)Architecture Decisions
Config types stay in core, implementations in optimizers:
tensorzero-core/src/optimization/- Config structs, types, PyO3 bindingstensorzero-optimizers/src/- Trait implementations, business logic, HTTP handlersHTTP handlers moved to optimizers:
launch_optimization_workflow_handlerandpoll_optimization_handlernow intensorzero-optimizers/src/endpoints.rsChanges Made
New Crate: tensorzero-optimizers
Structure:
Key files:
lib.rs- Consolidated traits and delegation:OptimizerandJobHandletrait definitionsimpl Optimizer for OptimizerInfo(delegates to specific optimizers)impl JobHandle for OptimizationJobHandle(delegates to specific handles)Each optimizer file (
dicl.rs,openai_sft.rs, etc.):impl Optimizer for [OptmizerConfig]impl JobHandle for [OptimizerJobHandle]Modified Files in tensorzero-core
Stripped to config-only:
src/optimization/mod.rs- Removed trait definitionssrc/optimization/dicl.rs- Only config structs and PyO3 bindingssrc/optimization/openai_sft/mod.rs- Only config typessrc/optimization/openai_rft/mod.rs- Only config typessrc/optimization/fireworks_sft/mod.rs- Only config typessrc/optimization/gcp_vertex_gemini_sft/mod.rs- Only config typessrc/optimization/together_sft/mod.rs- Only config types, moved function-level imports to module levelConfig changes:
src/config/mod.rs:86- Changed#[cfg_attr(test, derive(Default))]to#[cfg_attr(any(test, feature = "e2e_tests"), derive(Default))]Config::default()in both unit and e2e testsTest updates:
tests/optimization/common/mod.rs- Import traits fromtensorzero_optimizers::{JobHandle, Optimizer}tests/optimization/common/dicl.rs- Import traits from optimizerstests/e2e/optimization/dicl.rs- Import DICL database functions from optimizersDependency Updates
tensorzero-core/Cargo.toml:
tensorzero-optimizers = { path = "../tensorzero-optimizers" }to dev-dependenciesgateway/Cargo.toml:
tensorzero-optimizers = { path = "../tensorzero-optimizers" }gateway/src/routes.rs:
tensorzero_optimizers::endpoints::clients/rust/Cargo.toml:
tensorzero-optimizers = { path = "../../tensorzero-optimizers" }clients/rust/src/lib.rs:
Important
Extracts optimizer implementations from
tensorzero-coreinto a newtensorzero-optimizerscrate to resolve circular dependencies and streamline architecture.tensorzero-coretotensorzero-optimizerscrate.tensorzero-core→tensorzero-evaluations→tensorzero-optimizers→gateway.launch_optimization_workflow_handlertotensorzero-optimizers/src/endpoints.rs.tensorzero-core/src/optimization/.tensorzero-optimizers/src/.tensorzero-optimizers/includeslib.rs, optimizer files (e.g.,dicl.rs,openai_sft.rs), andendpoints.rs.OptimizerandJobHandleinlib.rs.tensorzero-core:src/optimization/mod.rsto config-only.tensorzero_optimizers.tensorzero-optimizerstoCargo.tomlintensorzero-core,gateway, andclients/rust.This description was created by
for 39fd2b3. You can customize this summary. It will automatically update as commits are pushed.