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@anndvision anndvision commented Nov 7, 2025

Summary

This PR extracts all optimizer implementations from tensorzero-core into a new tensorzero-optimizers crate to eliminate circular dependencies that would prevent creating optimizers that depend on evaluations.

Solution

Extract optimizer implementations into a separate crate, establishing a clean dependency chain:

  • tensorzero-coretensorzero-evaluationstensorzero-optimizersgateway

Problem

The planned dependency structure was:

  • tensorzero-coreevaluationstensorzero-optimizers

However, this creates a circular dependency because optimizers are currently part of tensorzero-core:

  • tensorzero-core (contains optimizers) → evaluationstensorzero-core (needs optimizers)

Architecture Decisions

Config types stay in core, implementations in optimizers:

  • tensorzero-core/src/optimization/ - Config structs, types, PyO3 bindings
  • tensorzero-optimizers/src/ - Trait implementations, business logic, HTTP handlers

HTTP handlers moved to optimizers:

  • Originally planned to stay in core, but moved to optimizers to resolve circular dependencies
  • launch_optimization_workflow_handler and poll_optimization_handler now in tensorzero-optimizers/src/endpoints.rs

Changes Made

New Crate: tensorzero-optimizers

Structure:

tensorzero-optimizers/
├── Cargo.toml (with e2e_tests feature)
├── src/
│   ├── lib.rs (traits + delegation implementations)
│   ├── dicl.rs (DICL optimizer + 18 unit tests + database functions)
│   ├── openai_sft.rs
│   ├── openai_rft.rs
│   ├── fireworks_sft.rs
│   ├── gcp_vertex_gemini_sft.rs
│   ├── together_sft.rs
│   └── endpoints.rs (HTTP handlers)

Key files:

lib.rs - Consolidated traits and delegation:

  • Optimizer and JobHandle trait definitions
  • impl 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 definitions
  • src/optimization/dicl.rs - Only config structs and PyO3 bindings
  • src/optimization/openai_sft/mod.rs - Only config types
  • src/optimization/openai_rft/mod.rs - Only config types
  • src/optimization/fireworks_sft/mod.rs - Only config types
  • src/optimization/gcp_vertex_gemini_sft/mod.rs - Only config types
  • src/optimization/together_sft/mod.rs - Only config types, moved function-level imports to module level

Config changes:

  • src/config/mod.rs:86 - Changed #[cfg_attr(test, derive(Default))] to #[cfg_attr(any(test, feature = "e2e_tests"), derive(Default))]
  • Needed for test helpers that use Config::default() in both unit and e2e tests

Test updates:

  • tests/optimization/common/mod.rs - Import traits from tensorzero_optimizers::{JobHandle, Optimizer}
  • tests/optimization/common/dicl.rs - Import traits from optimizers
  • tests/e2e/optimization/dicl.rs - Import DICL database functions from optimizers

Dependency Updates

tensorzero-core/Cargo.toml:

  • Added tensorzero-optimizers = { path = "../tensorzero-optimizers" } to dev-dependencies

gateway/Cargo.toml:

  • Added tensorzero-optimizers = { path = "../tensorzero-optimizers" }

gateway/src/routes.rs:

  • Updated imports to use tensorzero_optimizers::endpoints::

clients/rust/Cargo.toml:

  • Added tensorzero-optimizers = { path = "../../tensorzero-optimizers" }

clients/rust/src/lib.rs:

  • Updated imports from core to optimizers for optimization endpoints

Important

Extracts optimizer implementations from tensorzero-core into a new tensorzero-optimizers crate to resolve circular dependencies and streamline architecture.

  • Behavior:
    • Extracts optimizer implementations from tensorzero-core to tensorzero-optimizers crate.
    • Establishes dependency chain: tensorzero-coretensorzero-evaluationstensorzero-optimizersgateway.
    • Moves HTTP handlers like launch_optimization_workflow_handler to tensorzero-optimizers/src/endpoints.rs.
  • Architecture:
    • Keeps config types in tensorzero-core/src/optimization/.
    • Implements optimizer logic and HTTP handlers in tensorzero-optimizers/src/.
  • New Crate Structure:
    • tensorzero-optimizers/ includes lib.rs, optimizer files (e.g., dicl.rs, openai_sft.rs), and endpoints.rs.
    • Defines traits and implementations for Optimizer and JobHandle in lib.rs.
  • Modified Files in tensorzero-core:
    • Strips src/optimization/mod.rs to config-only.
    • Updates imports in test files to use tensorzero_optimizers.
  • Dependency Updates:
    • Adds tensorzero-optimizers to Cargo.toml in tensorzero-core, gateway, and clients/rust.

This description was created by Ellipsis for 39fd2b3. You can customize this summary. It will automatically update as commits are pushed.

Copilot AI review requested due to automatic review settings November 7, 2025 01:45
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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-core to a new dedicated crate
  • Preserves configuration types in tensorzero-core while migrating behavior to tensorzero-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

@anndvision anndvision assigned virajmehta and unassigned Aaron1011 Nov 7, 2025
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github-actions bot commented Nov 7, 2025

TensorZero CI Bot Automated Comment

The CI failure is due to the Node bindings generator detecting a git diff after rebuilding TypeScript bindings. Specifically, several TS files were deleted:

  • internal/tensorzero-node/lib/bindings/LaunchOptimizationParams.ts
  • internal/tensorzero-node/lib/bindings/LaunchOptimizationWorkflowParams.ts
  • internal/tensorzero-node/lib/bindings/RenderedSample.ts
  • internal/tensorzero-node/lib/bindings/StoredOutput.ts

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,
 }

Copilot AI review requested due to automatic review settings November 7, 2025 15:57
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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

Comment on lines 488 to 490
}
}

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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

Comment on lines 763 to 765
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.

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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.

Comment on lines 487 to 503
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

Copilot AI review requested due to automatic review settings November 7, 2025 22:31
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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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github-actions bot commented Nov 7, 2025

TensorZero CI Bot Automated Comment

The 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

@anndvision anndvision requested a review from virajmehta November 8, 2025 13:33
Copilot AI review requested due to automatic review settings November 8, 2025 15:06
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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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@anndvision anndvision assigned Aaron1011 and unassigned virajmehta Nov 10, 2025
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TensorZero CI Bot Automated Comment

Thanks for the heads up. The CI is failing for two independent reasons:

  1. Version consistency: Cargo.lock is out of date
  • The workflow reports: "Cargo.lock is not up to date with Cargo.toml" and the node bindings job also shows a diff that updates the tensorzero-optimizers crate version in Cargo.lock from 2025.11.2 to 2025.11.3.
  • Root cause: the new tensorzero-optimizers crate uses version.workspace = true and the workspace is at 2025.11.3, but the committed Cargo.lock still pins tensorzero-optimizers at 2025.11.2. Updating Cargo.lock fixes both the version check and the git-diff check in the node bindings job (which only failed because the build updated Cargo.lock).
  1. Python client artifacts count
  • The check step expects 6 wheels, but 8 tensorzero-*.whl files are present. The extra two are PyPy wheels:
    • tensorzero-2025.11.3-pp311-pypy311_pp73-manylinux_2_17_x86_64...
    • tensorzero-2025.11.3-pp311-pypy311_pp73-manylinux_2_17_aarch64...
  • Root cause: the build matrix is currently producing PyPy wheels for manylinux in addition to the 6 “expected” wheels. Since we cannot modify GitHub Actions, the safest fix is to configure cibuildwheel to skip PyPy wheels in the project itself so that exactly 6 wheels are generated again.

Proposed fixes in this PR:

  • Update Cargo.lock to reflect tensorzero-optimizers at 2025.11.3.
  • Add a cibuildwheel configuration to clients/python/pyproject.toml to skip PyPy wheels (pp*) so the artifact count returns to 6.

Once these land, all failed checks should pass:

  • Version consistency and node bindings will be clean (no git diff after build).
  • Python client artifact check will see 6 wheels again.

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:

# If you prefer to update the lock locally and push:
cargo update -p tensorzero-optimizers

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.

Copilot AI review requested due to automatic review settings November 10, 2025 16:24
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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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Copilot AI review requested due to automatic review settings November 10, 2025 17:33
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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 - serde is imported before std. Consider organizing imports with std first, then external crates, then internal crates for better readability.

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