langchain-ai/langgraph
120 source files scanned · 14 LLM call site(s) · ~0% of LLM spend looks recoverable (static heuristics)
$4.8per 10k runs today (gpt-4o-mini, ~2000 prompt tokens)
$4.8per 10k runs with fixes applied

[](https://tokenzero.sh/audit/langchain-ai/langgraph)
Models referenced
claude-3-sonnet-20240229 ×3gpt-4o-mini ×3gpt-3.5-turbo ×1gpt-4o ×1 (cheaper sibling: gpt-4o-mini)
Findings
| Severity | Where | Finding | Est. |
|---|---|---|---|
| info | examples/chatbot-simulation-evaluation/simulation_utils.py:51 | Unrecognised model id "gpt-3.5-turbo" Not in the current pricing table: it may be retired or renamed. Retired models return errors or are silently remapped by some providers. Fix: Check the provider model list; TokenZero flags unpriced models in `X-TokenZero-Warning`. | 0% |
| info | libs/cli/examples/graphs_reqs_b/graphs_submod/agent.py:15 | Unrecognised model id "claude-3-sonnet-20240229" Not in the current pricing table: it may be retired or renamed. Retired models return errors or are silently remapped by some providers. Fix: Check the provider model list; TokenZero flags unpriced models in `X-TokenZero-Warning`. | 0% |
Fix all of it with one line
OPENAI_BASE_URL=https://tokenzero.sh/v1 ANTHROPIC_BASE_URL=https://tokenzero.sh
Keys pass through untouched. Cache formatting and exact caching are on by default; cascade routing stays opt-in. How it works