Reinforcement Learning
Transformers
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post-training
distillation
agentic-coding
composer-2.5
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Instructions to use Codeseys/composer-replication-framework with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Codeseys/composer-replication-framework with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Codeseys/composer-replication-framework", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 7,427 Bytes
03bf323 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 | """Tests for composer_replication.ingestion.trace_examples (Wave 19).
Pins the contract that:
1. ClaudeCodeIngester output → claude_states_to_trace_examples → list[TraceExample]
2. Tool errors in source JSONL (`is_error: true`) survive the ingester's
[TOOL_RESULT (ERROR)] tag → are detected by the adapter → mark the
subsequent assistant turn with tool_error
3. The default error classifier categorizes common error kinds
4. The output is a valid input to ComposerDataCollator with hint_generator
"""
from __future__ import annotations
from pathlib import Path
import pytest
from composer_replication.ingestion import (
ClaudeCodeIngester,
TOOL_ERROR_TAG,
claude_states_to_trace_examples,
default_classify_error,
)
HERE = Path(__file__).resolve().parent
FIXTURE_DIR = HERE.parent.parent.parent / "spikes" / "007-real-trace-ingestion" / "fixtures"
ERROR_FIXTURE = FIXTURE_DIR / "synthetic_session_with_error.jsonl"
OK_FIXTURE = FIXTURE_DIR / "synthetic_session.jsonl"
# ----------------------------------------------------------------------
# Error classifier
# ----------------------------------------------------------------------
def test_classify_file_not_found():
assert default_classify_error(
"Error: File does not exist: /etc/foo.yaml"
) == "file_not_found"
assert default_classify_error(
"no such file or directory: /tmp/x"
) == "file_not_found"
def test_classify_permission_denied():
assert default_classify_error("Permission denied") == "permission_denied"
def test_classify_command_not_found():
assert default_classify_error("bash: foo: command not found") == "command_not_found"
def test_classify_unknown_falls_back():
assert default_classify_error("something weird went wrong") == "tool_error"
# ----------------------------------------------------------------------
# Adapter — happy path with error site
# ----------------------------------------------------------------------
def test_adapter_emits_one_example_per_state():
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(ERROR_FIXTURE))
examples = claude_states_to_trace_examples(states)
assert len(examples) == len(states)
def test_adapter_detects_tool_error_on_recovery_turn():
"""The assistant turn IMMEDIATELY AFTER a [TOOL_RESULT (ERROR)] user
turn must be marked with tool_error. Earlier assistant turns (before
any error) and assistant turns separated from the error by a
successful tool result must NOT be marked."""
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(ERROR_FIXTURE))
examples = claude_states_to_trace_examples(states)
# Find the example with at least one error turn
error_examples = [
ex for ex in examples
if any(t.get("tool_error") for t in ex["turns"])
]
assert error_examples, (
f"Expected ≥1 example with a tool_error turn; got {len(error_examples)}. "
f"Per-example error turns: {[(ex['trace_id'], sum(1 for t in ex['turns'] if t.get('tool_error'))) for ex in examples]}"
)
# The error fixture has one error site; one of the late states should have exactly 1 error turn
err_counts = [
sum(1 for t in ex["turns"] if t.get("tool_error"))
for ex in examples
]
assert max(err_counts) == 1, (
f"Expected exactly 1 error turn in some state; counts: {err_counts}"
)
def test_adapter_classifies_file_not_found_in_fixture():
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(ERROR_FIXTURE))
examples = claude_states_to_trace_examples(states)
error_turns = [t for ex in examples for t in ex["turns"] if t.get("tool_error")]
assert any(t["tool_error"] == "file_not_found" for t in error_turns), (
f"Expected 'file_not_found' classification on the fixture's "
f"non-existent-config error; got: "
f"{[t['tool_error'] for t in error_turns]}"
)
def test_adapter_no_errors_on_clean_fixture():
"""The original Spike 007 fixture has no is_error: true rows, so no
error turns should be detected."""
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(OK_FIXTURE))
examples = claude_states_to_trace_examples(states)
err_turns = [t for ex in examples for t in ex["turns"] if t.get("tool_error")]
assert not err_turns, (
f"Clean fixture should have 0 error turns; got "
f"{len(err_turns)}: {[t['tool_error'] for t in err_turns]}"
)
def test_adapter_preserves_role_and_content():
"""Every output turn should have role + content from the input messages."""
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(ERROR_FIXTURE))
examples = claude_states_to_trace_examples(states)
for ex in examples:
for turn in ex["turns"]:
assert "role" in turn
assert "content" in turn
assert turn["role"] in ("system", "user", "assistant", "tool")
def test_adapter_custom_error_kind_fn():
"""User-provided error_kind_fn should override default classification."""
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(ERROR_FIXTURE))
def custom_kind(content: str) -> str:
return "custom_kind"
examples = claude_states_to_trace_examples(states, error_kind_fn=custom_kind)
error_turns = [t for ex in examples for t in ex["turns"] if t.get("tool_error")]
assert all(t["tool_error"] == "custom_kind" for t in error_turns)
def test_adapter_threads_final_reward():
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(ERROR_FIXTURE))
examples = claude_states_to_trace_examples(states, final_reward=0.5)
assert all(ex["final_reward"] == 0.5 for ex in examples)
# ----------------------------------------------------------------------
# Tool error tag constant
# ----------------------------------------------------------------------
def test_tool_error_tag_matches_ingester_output():
"""The TOOL_ERROR_TAG constant must match what ClaudeCodeIngester
actually writes for is_error: true records."""
ingester = ClaudeCodeIngester(skip_sidechain=True, strip_thinking=True)
states = list(ingester.ingest(ERROR_FIXTURE))
# Find a user-message containing an error tool_result
contents = [
m.get("content", "")
for s in states for m in s["messages"]
if m.get("role") == "user"
]
assert any(TOOL_ERROR_TAG in c for c in contents if isinstance(c, str)), (
f"TOOL_ERROR_TAG {TOOL_ERROR_TAG!r} not found in any user content; "
f"the constant has drifted from the ingester's output format."
)
# ----------------------------------------------------------------------
# Empty input
# ----------------------------------------------------------------------
def test_adapter_empty_input():
assert claude_states_to_trace_examples([]) == []
def test_adapter_state_with_no_messages():
"""A degenerate state with empty messages should be skipped silently."""
examples = claude_states_to_trace_examples([{"state_id": "empty", "messages": []}])
assert examples == []
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