How to reduce LangChain / framework LLM token costs
Frameworks like LangChain make it easy to build — and easy to burn tokens without noticing. The cost usually isn't the framework; it's the patterns it encourages: long repeated context, big tool definitions on every call, and unbounded retries.
Cache the system prompt and tool definitions
Every chain step re-sends the instructions and tool schemas. That stable prefix is the single biggest repeated cost — cache it and it bills at a fraction of the price.
Trim the context you actually inject
Retrieval and memory often dump far more context than the step needs. Sending 20 chunks when 3 would do multiplies your input tokens on every call.
Cap retries and use structured output
When a step fails to parse and retries, you pay for the full context each time. Structured/JSON output and a retry limit turn retry storms into single calls.
Turn this into your number
Drop your usage export into the free analyzer and see how much of this applies to your account — provable savings separated from estimates. Nothing is uploaded.
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