Created
January 14, 2026 13:44
-
-
Save rahuldave/0ba600ef4601e308a42c961446128ee0 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| uv run python -m examples.quickstart | |
| ╭─ ◆ RLM ━ Recursive Language Model ─────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ │ | |
| │ Backend openai Environment local │ | |
| │ Model gpt-5-nano Max Iterations 30 │ | |
| │ Max Depth 1 │ | |
| │ │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ───────────────────────────────────────────────────────── Iteration 1 ────────────────────────────────────────────────────────── | |
| ╭─ ◇ LLM Response (33.66s) ─────────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ ```repl │ | |
| │ # Step 1: Inspect the context to understand what we’re dealing with │ | |
| │ print("TYPE:", type(context)) │ | |
| │ print("LEN:", len(context) if hasattr(context, '__len__') else "unknown") │ | |
| │ sample_start = 0 │ | |
| │ sample_end = min(1000, len(context)) if hasattr(context, '__len__') else 0 │ | |
| │ print("SAMPLE (first 1000 chars or so):") │ | |
| │ print(context[sample_start:sample_end]) │ | |
| │ ``` │ | |
| │ │ | |
| │ ```repl │ | |
| │ # Step 2: If the context is a large string, chunk it into manageable pieces │ | |
| │ if isinstance(context, str) and len(context) > 2000: │ | |
| │ chunk_size = 2000 │ | |
| │ chunks = [context[i:i+chunk_size] for i in range(0, len(context), chunk_size)] │ | |
| │ else: │ | |
| │ chunks = [str(context)] │ | |
| │ print("CHUNK COUNT:", len(chunks)) │ | |
| │ ``` │ | |
| │ │ | |
| │ ```repl │ | |
| │ # Step 3: Request a high-level plan from the LLM (without exposing internal chain-of-thought) │ | |
| │ # The plan should be concise and high-level, focusing on approach rather than detailed reasoning. │ | |
| │ plan = llm_query( │ | |
| │ "Provide a concise high-level plan for answering the user's prompt given the following context chunks: " │ | |
| │ f"{len(chunks)} chunks. Do not reveal internal chain-of-thought; present as bullets." │ | |
| │ ) │ | |
| │ print("PLAN:") │ | |
| │ print(plan) │ | |
| │ ``` │ | |
| │ │ | |
| │ ~148 words │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ▸ Code Execution (0.000s) ───────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ Code: │ | |
| │ # Step 1: Inspect the context to understand what we’re dealing with │ | |
| │ print("TYPE:", type(context)) │ | |
| │ print("LEN:", len(context) if hasattr(context, '__len__') else "unknown") │ | |
| │ sample_start = 0 │ | |
| │ sample_end = min(1000, len(context)) if hasattr(context, '__len__') else 0 │ | |
| │ print("SAMPLE (first 1000 chars or so):") │ | |
| │ print(context[sample_start:sample_end]) │ | |
| │ │ | |
| │ Output: │ | |
| │ TYPE: <class 'str'> │ | |
| │ LEN: 56 │ | |
| │ SAMPLE (first 1000 chars or so): │ | |
| │ Print me the first 100 powers of two, each on a newline. │ | |
| │ │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ▸ Code Execution (0.000s) ───────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ Code: │ | |
| │ # Step 2: If the context is a large string, chunk it into manageable pieces │ | |
| │ if isinstance(context, str) and len(context) > 2000: │ | |
| │ chunk_size = 2000 │ | |
| │ chunks = [context[i:i+chunk_size] for i in range(0, len(context), chunk_size)] │ | |
| │ else: │ | |
| │ chunks = [str(context)] │ | |
| │ print("CHUNK COUNT:", len(chunks)) │ | |
| │ │ | |
| │ Output: │ | |
| │ CHUNK COUNT: 1 │ | |
| │ │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ▸ Code Execution (10.639s) ──────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ Code: │ | |
| │ # Step 3: Request a high-level plan from the LLM (without exposing internal chain-of-thought) │ | |
| │ # The plan should be concise and high-level, focusing on approach rather than detailed reasoning. │ | |
| │ plan = llm_query( │ | |
| │ "Provide a concise high-level plan for answering the user's prompt given the following context chunks: " │ | |
| │ f"{len(chunks)} chunks. Do not reveal internal chain-of-thought; present as bullets." │ | |
| │ ) │ | |
| │ print("PLAN:") │ | |
| │ print(plan) │ | |
| │ │ | |
| │ Output: │ | |
| │ PLAN: │ | |
| │ - Restate the objective and success criteria from the user’s prompt. │ | |
| │ - Read the 1 context chunk and extract all relevant facts, constraints, and goals. │ | |
| │ - Identify any gaps or ambiguities; note clarifying questions or reasonable assumptions. │ | |
| │ - Decide on a concise, structured approach (e.g., summary first, then key points or steps). │ | |
| │ - Outline the answer format and deliverables (one-line takeaway, 2–4 supporting bullets, conclusion). │ | |
| │ - Draft the high-level plan without delving into internal reasoning: keep to the essentials and align with context. │ | |
| │ - Validate for consistency with the context chunk and avoid introducing unsupported details. │ | |
| │ - Present the final plan succinctly. │ | |
| │ │ | |
| │ │ | |
| │ ↳ 1 sub-call(s) │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ↳ Sub-call: gpt-5-nano (10.64s) ───────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ Prompt: Provide a concise high-level plan for answering the user's prompt given the following context chunks: 1 chunks. Do not │ | |
| │ reveal internal chain-of-thought; present as bullets. │ | |
| │ Response: - Restate the objective and success criteria from the user’s prompt. │ | |
| │ - Read the 1 context chunk and extract all relevant facts, constraints, and goals. │ | |
| │ - Identify any gaps or ambiguities; note clarifying questions or reasonable assumptions. │ | |
| │ - Decide on a concise, structured approach (e.g., summary first, then key points or steps). │ | |
| │ - Outline the answer format and deliverables (one-line takeaway, 2–4 supporting bullets, conclusion). │ | |
| │ - Draft the high-level plan without delving into internal reasoning: keep to the essentials and align with context. │ | |
| │ - Validate for consistency with the context chunk and avoid introducing unsupported details. │ | |
| │ - Present the final plan succinctly. │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ───────────────────────────────────────────────────────── Iteration 2 ────────────────────────────────────────────────────────── | |
| ╭─ ◇ LLM Response (94.20s) ─────────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ ```repl │ | |
| │ # Next action: generate and print the first 100 powers of two (2^0 through 2^99), │ | |
| │ # each on its own line, without any separators. │ | |
| │ powers = [1 << i for i in range(100)] │ | |
| │ print("\n".join(str(p) for p in powers)) │ | |
| │ ``` │ | |
| │ │ | |
| │ ~40 words │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ▸ Code Execution (0.000s) ───────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ Code: │ | |
| │ # Next action: generate and print the first 100 powers of two (2^0 through 2^99), │ | |
| │ # each on its own line, without any separators. │ | |
| │ powers = [1 << i for i in range(100)] │ | |
| │ print("\n".join(str(p) for p in powers)) │ | |
| │ │ | |
| │ Output: │ | |
| │ 1 │ | |
| │ 2 │ | |
| │ 4 │ | |
| │ 8 │ | |
| │ 16 │ | |
| │ 32 │ | |
| │ 64 │ | |
| │ 128 │ | |
| │ 256 │ | |
| │ 512 │ | |
| │ 1024 │ | |
| │ 2048 │ | |
| │ 4096 │ | |
| │ 8192 │ | |
| │ 16384 │ | |
| │ 32768 │ | |
| │ 65536 │ | |
| │ 131072 │ | |
| │ 262144 │ | |
| │ 524288 │ | |
| │ 1048576 │ | |
| │ 2097152 │ | |
| │ 4194304 │ | |
| │ 8388608 │ | |
| │ 16777216 │ | |
| │ 33554432 │ | |
| │ 67108864 │ | |
| │ 134217728 │ | |
| │ 268435456 │ | |
| │ 536870912 │ | |
| │ 1073741824 │ | |
| │ 2147483648 │ | |
| │ 4294967296 │ | |
| │ 8589934592 │ | |
| │ 17179869184 │ | |
| │ 34359738368 │ | |
| │ 68719476736 │ | |
| │ 137438953472 │ | |
| │ 274877906944 │ | |
| │ 549755813888 │ | |
| │ 1099511627776 │ | |
| │ 2199023255552 │ | |
| │ 4398046511104 │ | |
| │ 8796093022208 │ | |
| │ 17592186044416 │ | |
| │ 35184372088832 │ | |
| │ 70368744177664 │ | |
| │ 140737488355328 │ | |
| │ 281474976710656 │ | |
| │ 562949953421312 │ | |
| │ 1125899906842624 │ | |
| │ 2251799813685248 │ | |
| │ 4503599627370496 │ | |
| │ 9007199254740992 │ | |
| │ 18014398509481984 │ | |
| │ 36028797018963968 │ | |
| │ 72057594037927936 │ | |
| │ 144115188075855872 │ | |
| │ 288230376151711744 │ | |
| │ 576460752303423488 │ | |
| │ 1152921504606846976 │ | |
| │ 2305843009213693952 │ | |
| │ 4611686018427387904 │ | |
| │ 9223372036854775808 │ | |
| │ 18446744073709551616 │ | |
| │ 36893488147419103232 │ | |
| │ 73786976294838206464 │ | |
| │ 147573952589676412928 │ | |
| │ 295147905179352825856 │ | |
| │ 590295810358705651712 │ | |
| │ 1180591620717411303424 │ | |
| │ 2361183241434822606848 │ | |
| │ 4722366482869645213696 │ | |
| │ 9444732965739290427392 │ | |
| │ 18889465931478580854784 │ | |
| │ 37778931862957161709568 │ | |
| │ 75557863725914323419136 │ | |
| │ 151115727451828646838272 │ | |
| │ 302231454903657293676544 │ | |
| │ 604462909807314587353088 │ | |
| │ 1208925819614629174706176 │ | |
| │ 2417851639229258349412352 │ | |
| │ 4835703278458516698824704 │ | |
| │ 9671406556917033397649408 │ | |
| │ 19342813113834066795298816 │ | |
| │ 38685626227668133590597632 │ | |
| │ 77371252455336267181195264 │ | |
| │ 154742504910672534362390528 │ | |
| │ 309485009821345068724781056 │ | |
| │ 618970019642690137449562112 │ | |
| │ 1237940039285380274899124224 │ | |
| │ 2475880078570760549798248448 │ | |
| │ 4951760157141521099596496896 │ | |
| │ 9903520314283042199192993792 │ | |
| │ 19807040628566084398385987584 │ | |
| │ 39614081257132168796771975168 │ | |
| │ 79228162514264337593543950336 │ | |
| │ 158456325028528675187087900672 │ | |
| │ 316912650057057350374175801344 │ | |
| │ 633825300114114700748351602688 │ | |
| │ │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ───────────────────────────────────────────────────────── Iteration 3 ────────────────────────────────────────────────────────── | |
| ╭─ ◇ LLM Response (19.95s) ─────────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ ```repl │ | |
| │ # Next action: verify correctness of the produced powers │ | |
| │ expected = [1 << i for i in range(100)] │ | |
| │ verification = powers == expected │ | |
| │ print("VERIFICATION_PASS:", verification) │ | |
| │ print("LAST_VALUE (2^99):", powers[-1]) │ | |
| │ ``` │ | |
| │ │ | |
| │ ~30 words │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ▸ Code Execution (0.001s) ───────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ Code: │ | |
| │ # Next action: verify correctness of the produced powers │ | |
| │ expected = [1 << i for i in range(100)] │ | |
| │ verification = powers == expected │ | |
| │ print("VERIFICATION_PASS:", verification) │ | |
| │ print("LAST_VALUE (2^99):", powers[-1]) │ | |
| │ │ | |
| │ Output: │ | |
| │ VERIFICATION_PASS: True │ | |
| │ LAST_VALUE (2^99): 633825300114114700748351602688 │ | |
| │ │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ───────────────────────────────────────────────────────── Iteration 4 ────────────────────────────────────────────────────────── | |
| ╭─ ◇ LLM Response (27.03s) ─────────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ ```repl │ | |
| │ # Final action: assemble the exact final answer (the 100 powers of two, one per line) │ | |
| │ final_output = "\n".join(str(1 << i) for i in range(100)) │ | |
| │ print(final_output) │ | |
| │ ``` │ | |
| │ │ | |
| │ FINAL( │ | |
| │ 1 │ | |
| │ 2 │ | |
| │ 4 │ | |
| │ 8 │ | |
| │ 16 │ | |
| │ 32 │ | |
| │ 64 │ | |
| │ 128 │ | |
| │ 256 │ | |
| │ 512 │ | |
| │ 1024 │ | |
| │ 2048 │ | |
| │ 4096 │ | |
| │ 8192 │ | |
| │ 16384 │ | |
| │ 32768 │ | |
| │ 65536 │ | |
| │ 131072 │ | |
| │ 262144 │ | |
| │ 524288 │ | |
| │ 1048576 │ | |
| │ 2097152 │ | |
| │ 4194304 │ | |
| │ 8388608 │ | |
| │ 16777216 │ | |
| │ 33554432 │ | |
| │ 67108864 │ | |
| │ 134217728 │ | |
| │ 268435456 │ | |
| │ 536870912 │ | |
| │ 1073741824 │ | |
| │ 2147483648 │ | |
| │ 4294967296 │ | |
| │ 8589934592 │ | |
| │ 17179869184 │ | |
| │ 34359738368 │ | |
| │ 68719476736 │ | |
| │ 137438953472 │ | |
| │ 274877906944 │ | |
| │ 549755813888 │ | |
| │ 1099511627776 │ | |
| │ 2199023255552 │ | |
| │ 4398046511104 │ | |
| │ 8796093022208 │ | |
| │ 17592186044416 │ | |
| │ 35184372088832 │ | |
| │ 70368744177664 │ | |
| │ 140737488355328 │ | |
| │ 281474976710656 │ | |
| │ 562949953421312 │ | |
| │ 1125899906842624 │ | |
| │ 2251799813685248 │ | |
| │ 4503599627370496 │ | |
| │ 9007199254740992 │ | |
| │ 18014398509481984 │ | |
| │ 36028797018963968 │ | |
| │ 72057594037927936 │ | |
| │ 144115188075855872 │ | |
| │ 288230376151711744 │ | |
| │ 576460752303423488 │ | |
| │ 1152921504606846976 │ | |
| │ 2305843009213693952 │ | |
| │ 4611686018427387904 │ | |
| │ 9223372036854775808 │ | |
| │ 18446744073709551616 │ | |
| │ 36893488147419103232 │ | |
| │ 73786976294838206464 │ | |
| │ 147573952589676412928 │ | |
| │ 295147905179352825856 │ | |
| │ 590295810358705651712 │ | |
| │ 1180591620717411303424 │ | |
| │ 2361183241434822606848 │ | |
| │ 4722366482869645213696 │ | |
| │ 9444732965739290427392 │ | |
| │ 18889465931478580854784 │ | |
| │ 37778931862957161709568 │ | |
| │ 75557863725914323419136 │ | |
| │ 151115727451828646838272 │ | |
| │ 302231454903657293676544 │ | |
| │ 604462909807314587353088 │ | |
| │ 1208925819614629174706176 │ | |
| │ 2417851639229258349412352 │ | |
| │ 4835703278458516698824704 │ | |
| │ 9671406556917033397649408 │ | |
| │ 19342813113834066795298816 │ | |
| │ 38685626227668133590597632 │ | |
| │ 77371252455336267181195264 │ | |
| │ 154742504910672534362390528 │ | |
| │ 309485009821345068724781056 │ | |
| │ 618970019642690137449562112 │ | |
| │ 1237940039285380274899124224 │ | |
| │ 2475880078570760549798248448 │ | |
| │ 4951760157141521099596496896 │ | |
| │ 9903520314283042199192993792 │ | |
| │ 19807040628566084398385987584 │ | |
| │ 39614081257132168796771975168 │ | |
| │ 79228162514264337593543950336 │ | |
| │ 158456325028528675187087900672 │ | |
| │ 316912650057057350374175801344 │ | |
| │ 633825300114114700748351602688 │ | |
| │ ) │ | |
| │ │ | |
| │ ~130 words │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ▸ Code Execution (0.001s) ───────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ Code: │ | |
| │ # Final action: assemble the exact final answer (the 100 powers of two, one per line) │ | |
| │ final_output = "\n".join(str(1 << i) for i in range(100)) │ | |
| │ print(final_output) │ | |
| │ │ | |
| │ Output: │ | |
| │ 1 │ | |
| │ 2 │ | |
| │ 4 │ | |
| │ 8 │ | |
| │ 16 │ | |
| │ 32 │ | |
| │ 64 │ | |
| │ 128 │ | |
| │ 256 │ | |
| │ 512 │ | |
| │ 1024 │ | |
| │ 2048 │ | |
| │ 4096 │ | |
| │ 8192 │ | |
| │ 16384 │ | |
| │ 32768 │ | |
| │ 65536 │ | |
| │ 131072 │ | |
| │ 262144 │ | |
| │ 524288 │ | |
| │ 1048576 │ | |
| │ 2097152 │ | |
| │ 4194304 │ | |
| │ 8388608 │ | |
| │ 16777216 │ | |
| │ 33554432 │ | |
| │ 67108864 │ | |
| │ 134217728 │ | |
| │ 268435456 │ | |
| │ 536870912 │ | |
| │ 1073741824 │ | |
| │ 2147483648 │ | |
| │ 4294967296 │ | |
| │ 8589934592 │ | |
| │ 17179869184 │ | |
| │ 34359738368 │ | |
| │ 68719476736 │ | |
| │ 137438953472 │ | |
| │ 274877906944 │ | |
| │ 549755813888 │ | |
| │ 1099511627776 │ | |
| │ 2199023255552 │ | |
| │ 4398046511104 │ | |
| │ 8796093022208 │ | |
| │ 17592186044416 │ | |
| │ 35184372088832 │ | |
| │ 70368744177664 │ | |
| │ 140737488355328 │ | |
| │ 281474976710656 │ | |
| │ 562949953421312 │ | |
| │ 1125899906842624 │ | |
| │ 2251799813685248 │ | |
| │ 4503599627370496 │ | |
| │ 9007199254740992 │ | |
| │ 18014398509481984 │ | |
| │ 36028797018963968 │ | |
| │ 72057594037927936 │ | |
| │ 144115188075855872 │ | |
| │ 288230376151711744 │ | |
| │ 576460752303423488 │ | |
| │ 1152921504606846976 │ | |
| │ 2305843009213693952 │ | |
| │ 4611686018427387904 │ | |
| │ 9223372036854775808 │ | |
| │ 18446744073709551616 │ | |
| │ 36893488147419103232 │ | |
| │ 73786976294838206464 │ | |
| │ 147573952589676412928 │ | |
| │ 295147905179352825856 │ | |
| │ 590295810358705651712 │ | |
| │ 1180591620717411303424 │ | |
| │ 2361183241434822606848 │ | |
| │ 4722366482869645213696 │ | |
| │ 9444732965739290427392 │ | |
| │ 18889465931478580854784 │ | |
| │ 37778931862957161709568 │ | |
| │ 75557863725914323419136 │ | |
| │ 151115727451828646838272 │ | |
| │ 302231454903657293676544 │ | |
| │ 604462909807314587353088 │ | |
| │ 1208925819614629174706176 │ | |
| │ 2417851639229258349412352 │ | |
| │ 4835703278458516698824704 │ | |
| │ 9671406556917033397649408 │ | |
| │ 19342813113834066795298816 │ | |
| │ 38685626227668133590597632 │ | |
| │ 77371252455336267181195264 │ | |
| │ 154742504910672534362390528 │ | |
| │ 309485009821345068724781056 │ | |
| │ 618970019642690137449562112 │ | |
| │ 1237940039285380274899124224 │ | |
| │ 2475880078570760549798248448 │ | |
| │ 4951760157141521099596496896 │ | |
| │ 9903520314283042199192993792 │ | |
| │ 19807040628566084398385987584 │ | |
| │ 39614081257132168796771975168 │ | |
| │ 79228162514264337593543950336 │ | |
| │ 158456325028528675187087900672 │ | |
| │ 316912650057057350374175801344 │ | |
| │ 633825300114114700748351602688 │ | |
| │ │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ╭─ ★ Final Answer ───────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ │ | |
| │ 1 │ | |
| │ 2 │ | |
| │ 4 │ | |
| │ 8 │ | |
| │ 16 │ | |
| │ 32 │ | |
| │ 64 │ | |
| │ 128 │ | |
| │ 256 │ | |
| │ 512 │ | |
| │ 1024 │ | |
| │ 2048 │ | |
| │ 4096 │ | |
| │ 8192 │ | |
| │ 16384 │ | |
| │ 32768 │ | |
| │ 65536 │ | |
| │ 131072 │ | |
| │ 262144 │ | |
| │ 524288 │ | |
| │ 1048576 │ | |
| │ 2097152 │ | |
| │ 4194304 │ | |
| │ 8388608 │ | |
| │ 16777216 │ | |
| │ 33554432 │ | |
| │ 67108864 │ | |
| │ 134217728 │ | |
| │ 268435456 │ | |
| │ 536870912 │ | |
| │ 1073741824 │ | |
| │ 2147483648 │ | |
| │ 4294967296 │ | |
| │ 8589934592 │ | |
| │ 17179869184 │ | |
| │ 34359738368 │ | |
| │ 68719476736 │ | |
| │ 137438953472 │ | |
| │ 274877906944 │ | |
| │ 549755813888 │ | |
| │ 1099511627776 │ | |
| │ 2199023255552 │ | |
| │ 4398046511104 │ | |
| │ 8796093022208 │ | |
| │ 17592186044416 │ | |
| │ 35184372088832 │ | |
| │ 70368744177664 │ | |
| │ 140737488355328 │ | |
| │ 281474976710656 │ | |
| │ 562949953421312 │ | |
| │ 1125899906842624 │ | |
| │ 2251799813685248 │ | |
| │ 4503599627370496 │ | |
| │ 9007199254740992 │ | |
| │ 18014398509481984 │ | |
| │ 36028797018963968 │ | |
| │ 72057594037927936 │ | |
| │ 144115188075855872 │ | |
| │ 288230376151711744 │ | |
| │ 576460752303423488 │ | |
| │ 1152921504606846976 │ | |
| │ 2305843009213693952 │ | |
| │ 4611686018427387904 │ | |
| │ 9223372036854775808 │ | |
| │ 18446744073709551616 │ | |
| │ 36893488147419103232 │ | |
| │ 73786976294838206464 │ | |
| │ 147573952589676412928 │ | |
| │ 295147905179352825856 │ | |
| │ 590295810358705651712 │ | |
| │ 1180591620717411303424 │ | |
| │ 2361183241434822606848 │ | |
| │ 4722366482869645213696 │ | |
| │ 9444732965739290427392 │ | |
| │ 18889465931478580854784 │ | |
| │ 37778931862957161709568 │ | |
| │ 75557863725914323419136 │ | |
| │ 151115727451828646838272 │ | |
| │ 302231454903657293676544 │ | |
| │ 604462909807314587353088 │ | |
| │ 1208925819614629174706176 │ | |
| │ 2417851639229258349412352 │ | |
| │ 4835703278458516698824704 │ | |
| │ 9671406556917033397649408 │ | |
| │ 19342813113834066795298816 │ | |
| │ 38685626227668133590597632 │ | |
| │ 77371252455336267181195264 │ | |
| │ 154742504910672534362390528 │ | |
| │ 309485009821345068724781056 │ | |
| │ 618970019642690137449562112 │ | |
| │ 1237940039285380274899124224 │ | |
| │ 2475880078570760549798248448 │ | |
| │ 4951760157141521099596496896 │ | |
| │ 9903520314283042199192993792 │ | |
| │ 19807040628566084398385987584 │ | |
| │ 39614081257132168796771975168 │ | |
| │ 79228162514264337593543950336 │ | |
| │ 158456325028528675187087900672 │ | |
| │ 316912650057057350374175801344 │ | |
| │ 633825300114114700748351602688 │ | |
| │ │ | |
| ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ | |
| ══════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════ | |
| Iterations 4 | |
| Total Time 175.15s | |
| Input Tokens 11,104 | |
| Output Tokens 19,867 | |
| ══════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════ | |
| RLMChatCompletion(root_model='gpt-5-nano', prompt='Print me the first 100 powers of two, each on a newline.', response='1\n2\n4\n8\n16\n32\n64\n128\n256\n512\n1024\n2048\n4096\n8192\n16384\n32768\n65536\n131072\n262144\n524288\n1048576\n2097152\n4194304\n8388608\n16777216\n33554432\n67108864\n134217728\n268435456\n536870912\n1073741824\n2147483648\n4294967296\n8589934592\n17179869184\n34359738368\n68719476736\n137438953472\n274877906944\n549755813888\n1099511627776\n2199023255552\n4398046511104\n8796093022208\n17592186044416\n35184372088832\n70368744177664\n140737488355328\n281474976710656\n562949953421312\n1125899906842624\n2251799813685248\n4503599627370496\n9007199254740992\n18014398509481984\n36028797018963968\n72057594037927936\n144115188075855872\n288230376151711744\n576460752303423488\n1152921504606846976\n2305843009213693952\n4611686018427387904\n9223372036854775808\n18446744073709551616\n36893488147419103232\n73786976294838206464\n147573952589676412928\n295147905179352825856\n590295810358705651712\n1180591620717411303424\n2361183241434822606848\n4722366482869645213696\n9444732965739290427392\n18889465931478580854784\n37778931862957161709568\n75557863725914323419136\n151115727451828646838272\n302231454903657293676544\n604462909807314587353088\n1208925819614629174706176\n2417851639229258349412352\n4835703278458516698824704\n9671406556917033397649408\n19342813113834066795298816\n38685626227668133590597632\n77371252455336267181195264\n154742504910672534362390528\n309485009821345068724781056\n618970019642690137449562112\n1237940039285380274899124224\n2475880078570760549798248448\n4951760157141521099596496896\n9903520314283042199192993792\n19807040628566084398385987584\n39614081257132168796771975168\n79228162514264337593543950336\n158456325028528675187087900672\n316912650057057350374175801344\n633825300114114700748351602688', usage_summary=UsageSummary(model_usage_summaries={'gpt-5-nano': ModelUsageSummary(total_calls=5, total_input_tokens=11104, total_output_tokens=19867)}), execution_time=175.15158712491393) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment